diff --git a/research/fine_surface_20261014/baseline.json b/research/fine_surface_20261014/baseline.json
new file mode 100644
index 0000000..71a4543
--- /dev/null
+++ b/research/fine_surface_20261014/baseline.json
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+    "tests/output/screening/screening_summary.csv": "3a23c4f2bd54ed5ee9bdb5b6dcdc58eed04519fcf1b4790e0abd1e6c5288fb96",
+    "tests/output/screening/screening_summary.json": "caf64530f152b6b8ccec82a3c7ba44fa0b3aeb0e0221ef6121857bf62c031ecd",
+    "tests/output/screening/B1/force_hist.csv": "854bfebe63fb2d140823fc5dbc434a70c317c6ab0bedbd5220cec45665b524c8",
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+    "tests/output/screening/custom/force_hist.csv": "06da0f67b564d5c114332ef3b39167b1ba222fc50045f95303c75c14755b51d5",
+    "tests/output/screening/custom/summary.json": "1701ed75e5e9ca16127f495ccff1d87de245d81df581e94114c8fca6fbbe77fd",
+    "tests/output/screening/MR1/force_hist.csv": "f70fbfa748fd0709e225523aaaa72b761db56df4f1d48f105384b94cbc44b31f",
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+    "tests/output/screening/MR3/summary.json": "ad188eb1b271a6cd0fb4025b456eccac5450776f60db58466f804fc5a0e0ec61",
+    "tests/postproc/run_exp_ctrl_matrix_vorticity.py": "b7e0c4113111b9b677f321750c0055656ccfa4f45c25fe7846f3ed22f30d1467",
+    "tests/postproc/vorticity_triangle_clean.png": "f831b8143b50f038d5920a0658469622655f34176d30cf7216feff108aa2ecaf",
+    "tests/postproc/run_kan99b_streakline.py": "a2bbf3fc629ea170d2d4879317dbf2b81c43378a328100ac1f2ee8d9895666cb",
+    "tests/postproc/streakline_triangle_clean.png": "aa6669de7af6f82e98af25698a15f494e9cea20cb911ad9a30fe52597d33bb79",
+    "tests/postproc/experiment.ipynb": "c6b45db1c57200f0777213ef8d44cb4996c1aa7a5fb42b968b77e56f51b4fca4",
+    "tests/postproc/run_stealth_steady_sweep.py": "3c32c4dede7da77fd6cfbd3f7b1ff43bb11390aaba621883ec96c6c7fdad5af7",
+    "tests/postproc/run_exp_ctrl_matrix_streakline.py": "529d5f31a3862080f890c65177502b589710b2d960ddf131abaf7dc2f9e2a96f",
+    "tests/screening/run_config_sweep.py": "5030c99923815ed6ad39110cb56f748c579ff4c66c7c1a368ad1a6008017e2ff",
+    "examples/fixed_periodic_patch.py": "6732e440a47c237ea341703f2d80717903d34c68fd061bdc97189e5d877be46c",
+    "examples/fixed_patch_jet.py": "9d58ac3f32478603e8e798efcdaf6ea16e9cc92346eb4780a60e438d331abced"
+  }
+}
diff --git a/research/fine_surface_20261014/cpu_device_guard_cmd.txt b/research/fine_surface_20261014/cpu_device_guard_cmd.txt
new file mode 100644
index 0000000..06e0f35
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_device_guard_cmd.txt
@@ -0,0 +1 @@
+PYTHONPATH=/home/frank14f/CelerisLab/src CUDA_VISIBLE_DEVICES='' /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/validation/multigrid/test_fine_surface_gpu.py::test_missing_surface_device_buffer_rejects_before_launch -q
diff --git a/research/fine_surface_20261014/cpu_device_guard_exit.txt b/research/fine_surface_20261014/cpu_device_guard_exit.txt
new file mode 100644
index 0000000..573541a
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_device_guard_exit.txt
@@ -0,0 +1 @@
+0
diff --git a/research/fine_surface_20261014/cpu_device_guard_stdout.txt b/research/fine_surface_20261014/cpu_device_guard_stdout.txt
new file mode 100644
index 0000000..424d584
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_device_guard_stdout.txt
@@ -0,0 +1,2 @@
+..                                                                       [100%]
+2 passed in 0.09s
diff --git a/research/fine_surface_20261014/cpu_existing_runs.json b/research/fine_surface_20261014/cpu_existing_runs.json
new file mode 100644
index 0000000..3179536
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_existing_runs.json
@@ -0,0 +1,30 @@
+[
+  {
+    "name": "cpu_maps",
+    "command": [
+      "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+      "-m",
+      "pytest",
+      "-q",
+      "-p",
+      "no:cacheprovider",
+      "tests/unit/test_refinement.py"
+    ],
+    "exit_code": 0,
+    "seconds": 1.8799934879643843
+  },
+  {
+    "name": "cpu_shared_kernel",
+    "command": [
+      "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+      "-m",
+      "pytest",
+      "-q",
+      "-p",
+      "no:cacheprovider",
+      "tests/unit/test_numerical_operators.py::test_actual_semantic_and_auxiliary_kernels[0-0-0]"
+    ],
+    "exit_code": 0,
+    "seconds": 2.1572919980389997
+  }
+]
diff --git a/research/fine_surface_20261014/cpu_final_run.json b/research/fine_surface_20261014/cpu_final_run.json
new file mode 100644
index 0000000..523fadb
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_final_run.json
@@ -0,0 +1,14 @@
+{
+  "command": [
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-m",
+    "pytest",
+    "-q",
+    "-p",
+    "no:cacheprovider",
+    "tests/unit/test_fine_surface.py"
+  ],
+  "exit_code": 0,
+  "seconds": 1.947228622972034,
+  "note": "Final CPU recheck after preflight aperture inputs were aligned with packed FP32 lever arms. No kernel/math or uploaded-array changes."
+}
diff --git a/research/fine_surface_20261014/cpu_final_stdout.txt b/research/fine_surface_20261014/cpu_final_stdout.txt
new file mode 100644
index 0000000..9cfe73d
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_final_stdout.txt
@@ -0,0 +1,2 @@
+...............                                                          [100%]
+15 passed in 0.59s
diff --git a/research/fine_surface_20261014/cpu_lifecycle_run.json b/research/fine_surface_20261014/cpu_lifecycle_run.json
new file mode 100644
index 0000000..5b403b9
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_lifecycle_run.json
@@ -0,0 +1,14 @@
+{
+  "command": [
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-m",
+    "pytest",
+    "-q",
+    "-p",
+    "no:cacheprovider",
+    "tests/validation/multigrid/test_refinement_followup.py::FaultGuardsCPU",
+    "tests/validation/multigrid/test_refinement_gpu.py::CoupledGPU::test_cleanup_attempts_every_allocation"
+  ],
+  "exit_code": 0,
+  "seconds": 1.620646678027697
+}
diff --git a/research/fine_surface_20261014/cpu_lifecycle_stdout.txt b/research/fine_surface_20261014/cpu_lifecycle_stdout.txt
new file mode 100644
index 0000000..3c5c49b
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_lifecycle_stdout.txt
@@ -0,0 +1,2 @@
+.....                                                               [100%]
+5 passed, 5 subtests passed in 0.25s
diff --git a/research/fine_surface_20261014/cpu_maps_stdout.txt b/research/fine_surface_20261014/cpu_maps_stdout.txt
new file mode 100644
index 0000000..71dd87f
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_maps_stdout.txt
@@ -0,0 +1,2 @@
+.........                                         [100%]
+9 passed, 23 subtests passed in 0.12s
diff --git a/research/fine_surface_20261014/cpu_preallocation_run.json b/research/fine_surface_20261014/cpu_preallocation_run.json
new file mode 100644
index 0000000..fa6e96d
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_preallocation_run.json
@@ -0,0 +1,14 @@
+{
+  "command": [
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-m",
+    "pytest",
+    "-q",
+    "-p",
+    "no:cacheprovider",
+    "tests/validation/multigrid/test_fine_surface_gpu.py::test_cross_interface_donor_rejects_before_cuda"
+  ],
+  "exit_code": 0,
+  "seconds": 1.665132363094017,
+  "CUDA_VISIBLE_DEVICES": ""
+}
diff --git a/research/fine_surface_20261014/cpu_preallocation_stdout.txt b/research/fine_surface_20261014/cpu_preallocation_stdout.txt
new file mode 100644
index 0000000..5d64357
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_preallocation_stdout.txt
@@ -0,0 +1,2 @@
+.                                                                        [100%]
+1 passed in 0.09s
diff --git a/research/fine_surface_20261014/cpu_shared_kernel_stdout.txt b/research/fine_surface_20261014/cpu_shared_kernel_stdout.txt
new file mode 100644
index 0000000..8a0c046
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_shared_kernel_stdout.txt
@@ -0,0 +1,2 @@
+.                                                                        [100%]
+1 passed in 0.63s
diff --git a/research/fine_surface_20261014/cpu_surface_command.txt b/research/fine_surface_20261014/cpu_surface_command.txt
new file mode 100644
index 0000000..2a5ff31
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_surface_command.txt
@@ -0,0 +1 @@
+PYTHONPATH=src /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_fine_surface.py -q
diff --git a/research/fine_surface_20261014/cpu_surface_exit.txt b/research/fine_surface_20261014/cpu_surface_exit.txt
new file mode 100644
index 0000000..573541a
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_surface_exit.txt
@@ -0,0 +1 @@
+0
diff --git a/research/fine_surface_20261014/cpu_surface_projection_command.txt b/research/fine_surface_20261014/cpu_surface_projection_command.txt
new file mode 100644
index 0000000..70b7f5c
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_surface_projection_command.txt
@@ -0,0 +1 @@
+PYTHONPATH=src /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_fine_surface.py -q -k 'projection_uses_cell_center or transfer_dependencies'
diff --git a/research/fine_surface_20261014/cpu_surface_projection_exit.txt b/research/fine_surface_20261014/cpu_surface_projection_exit.txt
new file mode 100644
index 0000000..573541a
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_surface_projection_exit.txt
@@ -0,0 +1 @@
+0
diff --git a/research/fine_surface_20261014/cpu_surface_projection_stdout.txt b/research/fine_surface_20261014/cpu_surface_projection_stdout.txt
new file mode 100644
index 0000000..efd37a1
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_surface_projection_stdout.txt
@@ -0,0 +1,2 @@
+...                                                                      [100%]
+3 passed, 12 deselected in 0.40s
diff --git a/research/fine_surface_20261014/cpu_surface_stdout.txt b/research/fine_surface_20261014/cpu_surface_stdout.txt
new file mode 100644
index 0000000..9cfe73d
--- /dev/null
+++ b/research/fine_surface_20261014/cpu_surface_stdout.txt
@@ -0,0 +1,2 @@
+...............                                                          [100%]
+15 passed in 0.59s
diff --git a/research/fine_surface_20261014/gpu_preparation_run1.py b/research/fine_surface_20261014/gpu_preparation_run1.py
new file mode 100644
index 0000000..ee586d0
--- /dev/null
+++ b/research/fine_surface_20261014/gpu_preparation_run1.py
@@ -0,0 +1,290 @@
+"""CPU preparation for one fixed D2Q9 2:1 patch and optional interior circles.
+
+Cell indices use y*nx+x; population slots use q*(nx*ny)+cell, matching
+core/layout.cuh. Bounds are half-open (x0, y0, x1, y1) in coarse cells.
+The four fine halo cells implement the pinned CPUREF volumetric geometry.
+Base topology is independent of boundaries; prepare_fine_boundary checks them.
+"""
+from dataclasses import dataclass, replace
+from numbers import Integral
+
+import numpy as np
+
+from ..config import LBMConfig
+from .descriptors import D2Q9_EX, D2Q9_EY, FLUID, SOLID
+
+ACTIVE, INNER_GHOST, OUTER_GHOST = 0, 1, 2
+HALO = 4
+
+
+def _readonly(values, dtype):
+    array = np.ascontiguousarray(values, dtype=dtype)
+    array.setflags(write=False)
+    return array
+
+
+@dataclass(frozen=True, eq=False)
+class FixedPatch2D:
+    """Layer metadata and compact exchange tables, constructed by from_config.
+
+    Shapes are (ny, nx), including the fine halo. ``fine_origin`` is its lower
+    cell edge in coarse physical units, with coarse dx=dt=1 and fine dx=dt=.5.
+    ``ghost_fine`` and ``ghost_coarse`` pair fine cells with coarse donors.
+    ``coalesce_coarse`` contains incoming population slots; each corresponding
+    row of ``coalesce_fine`` contains four fine slots in (dy, dx) row order.
+    Weights are all 1/4. Closed corner links are included even when the coarse
+    donor is uncovered. These tables contain no DDF data and allocate no GPU.
+
+    This is preparation, not permission to advance these levels with OneStep:
+    its channel boundaries and fused collision do not implement patch coupling.
+    """
+    coarse_shape: tuple[int, int]
+    bounds: tuple[int, int, int, int]
+    tau_coarse: float
+    tau_fine: float
+    fine_kind: np.ndarray
+    ghost_fine: np.ndarray
+    ghost_coarse: np.ndarray
+    coalesce_coarse: np.ndarray
+    coalesce_fine: np.ndarray
+
+    @classmethod
+    def from_config(cls, cfg: LBMConfig, bounds) -> "FixedPatch2D":
+        """Prepare maps without changing cfg or allocating coarse-sized tables.
+
+        The initial backend contract is D2Q9/SRT/FP32/unshifted/double_buffer,
+        without LES. Two coarse cells of margin keep all halo donors in bounds;
+        this does NOT certify that those donors are fluid or periodic.
+        """
+        checked = replace(cfg)
+        checked.validate()
+        if (not checked.is_d2q9 or checked.collision != "SRT"
+                or checked.streaming != "double_buffer"
+                or checked.store_precision != "FP32"
+                or checked.ddf_shifting or checked.les_enabled):
+            raise ValueError("FixedPatch2D requires D2Q9/SRT/FP32/unshifted/double_buffer without LES")
+        bounds = tuple(bounds)
+        if len(bounds) != 4 or any(isinstance(v, (bool, np.bool_))
+                                   or not isinstance(v, Integral) for v in bounds):
+            raise ValueError("bounds must be four integers: (x0, y0, x1, y1)")
+        x0, y0, x1, y1 = bounds = tuple(map(int, bounds))
+        nx, ny = checked.nx, checked.ny
+        if not (2 <= x0 < x1 <= nx - 2 and 2 <= y0 < y1 <= ny - 2):
+            raise ValueError("patch must be nonempty with a two-coarse-cell margin")
+        fx, fy = 2 * (x1 - x0) + 2 * HALO, 2 * (y1 - y0) + 2 * HALO
+        if max(nx * ny, fx * fy) > np.iinfo(np.uint32).max:
+            raise ValueError("layer cell counts exceed uint32 indexing")
+        tau_c = 3.0 * checked.viscosity + 0.5
+        tau_f = 6.0 * checked.viscosity + 0.5
+        if not checked.omega_min <= 1.0 / tau_f <= checked.omega_max:
+            raise ValueError("fine relaxation rate lies outside configured omega guards")
+
+        kind = np.full((fy, fx), OUTER_GHOST, dtype=np.uint8)
+        kind[2:-2, 2:-2] = INNER_GHOST
+        kind[HALO:-HALO, HALO:-HALO] = ACTIVE
+        gy, gx = np.nonzero(kind != ACTIVE)
+        ghost_fine = gy * fx + gx
+        ghost_coarse = (y0 + (gy - HALO) // 2) * nx + x0 + (gx - HALO) // 2
+
+        targets, sources = [], []
+        # Only the outside ring can receive fine-to-coarse populations.
+        # Integer doubled midpoints include all eight diagonal corner passes.
+        for y in range(y0 - 1, y1 + 1):
+            xs = range(x0 - 1, x1 + 1) if y in (y0 - 1, y1) else (x0 - 1, x1)
+            for x in xs:
+                for q in range(1, 9):
+                    mx, my = 2 * x + 1 - D2Q9_EX[q], 2 * y + 1 - D2Q9_EY[q]
+                    if 2 * x0 <= mx <= 2 * x1 and 2 * y0 <= my <= 2 * y1:
+                        targets.append(q * nx * ny + y * nx + x)
+                        a, b = HALO + 2 * (x - x0), HALO + 2 * (y - y0)
+                        sources.append([q * fx * fy + (b + dy) * fx + a + dx
+                                        for dy in (0, 1) for dx in (0, 1)])
+        return cls((ny, nx), bounds, tau_c, tau_f,
+                   _readonly(kind, np.uint8),
+                   _readonly(ghost_fine, np.uint32),
+                   _readonly(ghost_coarse, np.uint32),
+                   _readonly(targets, np.uint64),
+                   _readonly(sources, np.uint64).reshape(-1, 4))
+
+    @property
+    def fine_shape(self) -> tuple[int, int]:
+        return self.fine_kind.shape
+
+    @property
+    def fine_origin(self) -> tuple[float, float]:
+        return self.bounds[0] - HALO / 2, self.bounds[1] - HALO / 2
+
+    @property
+    def table_bytes(self) -> int:
+        return sum(a.nbytes for a in (self.fine_kind, self.ghost_fine,
+                                     self.ghost_coarse, self.coalesce_coarse,
+                                     self.coalesce_fine))
+
+    def check_synchronization(self, coarse_steps: int, fine_steps: int, *, phase: str) -> None:
+        """Check a proposed backend handoff; does not convert or collide data.
+
+        Production storage is g=C(f), while CPUREF returns arrival_f. A future
+        g-to-g coarse step must collide coarse cells once and fine cells twice;
+        fine halo ghosts never collide. Coalescence must precede coarse collision.
+        Converting reference f to g for comparison is an observation operation,
+        not an additional production collision. Counts here are completed steps.
+        """
+        if phase != "postcollision_g":
+            raise ValueError("patch backend handoff requires postcollision_g")
+        for value in (coarse_steps, fine_steps):
+            if isinstance(value, (bool, np.bool_)) or not isinstance(value, Integral) or value < 0:
+                raise ValueError("step counts must be nonnegative integers")
+        if fine_steps != 2 * coarse_steps:
+            raise ValueError("levels are not synchronized: fine_steps must equal 2*coarse_steps")
+
+
+@dataclass(frozen=True, eq=False)
+class FineBoundary2D:
+    """Fixed local projection plus auditable, finite transfer dependency sets.
+
+    transfer_reads rows are (hop, direction, cell), traced from coalescence at
+    hop 2 back to exploded G at hop 0. No previous coarse interval is traversed.
+    Cell footprints also include the whole explosion write/donor tables.
+    """
+    objects: tuple
+    flags: np.ndarray
+    curved_host: tuple
+    boundary_cells: np.ndarray
+    transfer_fine_cells: np.ndarray
+    transfer_coarse_cells: np.ndarray
+    transfer_reads: np.ndarray
+
+
+def _transfer_footprint(patch):
+    ny, nx = patch.fine_shape
+    cells = nx * ny
+    pending = [(2, *divmod(int(slot), cells)) for slot in patch.coalesce_fine.ravel()]
+    reads = set()
+    while pending:
+        hop, q, k = pending.pop()
+        if (hop, q, k) in reads:
+            continue
+        reads.add((hop, q, k))
+        if hop == 0:
+            continue
+        y, x = divmod(k, nx)
+        kind = patch.fine_kind[y, x]
+        if kind == OUTER_GHOST:
+            raise ValueError("Transfer reads an invalid post-hop outer ghost")
+        # A collided output depends on all nine arrivals; ghosts only stream.
+        for direction in (range(9) if kind == ACTIVE else (q,)):
+            sx, sy = x - D2Q9_EX[direction], y - D2Q9_EY[direction]
+            if not (0 <= sx < nx and 0 <= sy < ny):
+                raise ValueError("Transfer dependency leaves the fine allocation")
+            pending.append((hop - 1, direction, sy * nx + sx))
+    fine = set(map(int, patch.ghost_fine)) | {k for _, _, k in reads}
+    coarse = set(map(int, patch.ghost_coarse)) | set(map(
+        int, patch.coalesce_coarse % np.prod(patch.coarse_shape)))
+    return fine, coarse, _readonly(sorted(reads), np.int64)
+
+
+def prepare_fine_boundary(cfg, patch, objects, *, wall_aware=False):
+    """Project fixed circles and reject boundary/transfer overlap before CUDA.
+
+    Input centers/radii are in coarse physical coordinates (dx=dt=1).
+    SurfaceActuation retains its lattice-velocity meaning: input coarse units
+    are converted into independent fine-local objects with dx=dt=.5.
+    Original objects are not retained or mutated. No runtime geometry updates.
+    """
+    if not objects:
+        return None
+    checked = replace(cfg)
+    checked.validate()
+    if (patch.coarse_shape != (cfg.ny, cfg.nx) or not checked.is_d2q9
+            or checked.collision != "SRT" or checked.streaming != "double_buffer"
+            or checked.store_precision != "FP32" or checked.ddf_shifting or checked.les_enabled
+            or patch.tau_coarse != 3*checked.viscosity+.5):
+        raise ValueError("Fine boundary requires the matching fixed-patch configuration")
+    from ..body.geometry.circle import CircleGeometry
+    from ..body.objects import SimObject
+    from ..body.coupling.soa_packer import pack_cut_links_to_soa
+
+    ny, nx = patch.fine_shape
+    fine_cfg = replace(cfg, nx=nx, ny=ny, viscosity=2 * cfg.viscosity)
+    flags = np.full(nx * ny, FLUID, np.uint16)
+    active = patch.fine_kind.ravel() == ACTIVE
+    local, links = [], []
+    x0, y0, x1, y1 = patch.bounds
+    dx = dt = .5
+    for bid, obj in enumerate(objects):
+        if (type(obj.geometry) is not CircleGeometry or obj.is_sensor or obj.is_force_region
+                or any(getattr(obj.state, name) != 0 for name in ("vx", "vy", "omega"))
+                or any(vars(obj.control).values())):
+            raise ValueError("Fine boundaries require stationary circles without other roles")
+        cx, cy = obj.geometry.center
+        radius = obj.geometry._radius
+        if (not np.isfinite([cx, cy, radius]).all() or radius <= 0
+                or cx-radius < x0 or cx+radius > x1 or cy-radius < y0 or cy+radius > y1):
+            raise ValueError("Entire fine circle must lie inside the physical patch")
+        center = tuple((v-o)/dx-.5 for v, o in zip((cx, cy), patch.fine_origin))
+        spec = obj.surface_actuation
+        if spec is not None:
+            spec = replace(spec, normal_velocity=spec.normal_velocity * dt / dx)
+        item = SimObject(bid, geometry=CircleGeometry(*center, radius/dx),
+                         center=center, radius=radius/dx, surface_actuation=spec)
+        item.validate_surface_actuation(fine_cfg)
+        mask = item.get_flag_mask(nx, ny)
+        solid = (mask & SOLID) != 0
+        if not solid.any() or np.any(solid & ~active) or np.any(flags[solid] & SOLID):
+            raise ValueError("Fine solids must be resolved, disjoint and entirely active")
+        flags[solid] = mask[solid]
+        local.append(item)
+    for item in local:
+        cut = item.geometry.build_cut_links(nx, ny, domain_flags=flags)
+        if not cut:
+            raise ValueError("Fine circle has no resolved cut links")
+        if item.surface_actuation is not None:
+            _, aperture = item.surface_actuation.project(
+                np.array([link.rx for link in cut]), np.array([link.ry for link in cut]))
+            if not aperture.any():
+                raise ValueError("Surface aperture hits no resolved cut links")
+        for link in cut:
+            link.body_id = item.obj_id
+        links.extend(cut)
+
+    boundary, writers, receivers = set(), set(), set()
+    for link in links:
+        r, q = link.fluid_idx, link.dir
+        y, x = divmod(r, nx)
+        sx, sy = x + D2Q9_EX[q], y + D2Q9_EY[q]
+        s = sy * nx + sx
+        if not (active[r] and flags[r] & FLUID and active[s] and flags[s] & SOLID):
+            raise ValueError("Cut-link receiver/source must be active fluid/solid")
+        writer = (s, q+1 if q % 2 else q-1)
+        if writer in writers:
+            raise ValueError("Duplicate fine boundary writer")
+        writers.add(writer)
+        receivers.add((r, q))
+        boundary.update((r, s))
+        if link.q < .5:
+            dx_, dy_ = x - D2Q9_EX[q], y - D2Q9_EY[q]
+            if not (0 <= dx_ < nx and 0 <= dy_ < ny and active[dy_*nx+dx_]):
+                raise ValueError("q<.5 donor crosses the fine active interface; fallback cannot hide it")
+            boundary.add(dy_*nx+dx_)
+    # Reverse coverage: every fluid pull across a solid neighbor needs a writer.
+    required = set()
+    for r in np.flatnonzero(active & ((flags & FLUID) != 0)):
+        for q in range(1, 9):
+            if flags[r + D2Q9_EX[q] + nx*D2Q9_EY[q]] & SOLID:
+                required.add((int(r), q))
+    if required != receivers:
+        raise ValueError("Fine solid pull coverage does not match the cut links")
+    fine, coarse, reads = _transfer_footprint(patch)
+    if fine & (boundary | set(map(int, np.flatnonzero(flags & SOLID)))):
+        raise ValueError("Boundary stencil overlaps the two-hop transfer footprint")
+    for k in coarse:
+        y, x = divmod(k, cfg.nx)
+        if x0 <= x < x1 and y0 <= y < y1:
+            raise ValueError("Transfer coarse donor/target is not an uncovered bulk cell")
+        if wall_aware and (y <= 2 or y >= cfg.ny-3):
+            raise ValueError("Transfer footprint touches the coarse wall reconstruction stencil")
+    return FineBoundary2D(tuple(local), _readonly(flags, np.uint16),
+                          tuple(_readonly(a, a.dtype) for a in pack_cut_links_to_soa(links)),
+                          _readonly(sorted(boundary), np.uint32),
+                          _readonly(sorted(fine), np.uint32),
+                          _readonly(sorted(coarse), np.uint32), reads)
diff --git a/research/fine_surface_20261014/gpu_run.json b/research/fine_surface_20261014/gpu_run.json
new file mode 100644
index 0000000..15b8ba7
--- /dev/null
+++ b/research/fine_surface_20261014/gpu_run.json
@@ -0,0 +1,48 @@
+{
+  "start_utc": "2026-10-14T05:08:55.958692+00:00",
+  "preflight_gpu": "0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5, 16140, 0\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5, 16140, 0\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5, 16140, 0\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5, 16140, 0",
+  "preflight_apps": "",
+  "preflight_ram_bytes": 64091750400,
+  "physical_gpu_uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "command": [
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-c",
+    "import CelerisLab,pytest; print('SOURCE', CelerisLab.__file__, flush=True); assert CelerisLab.__file__.startswith('/home/frank14f/CelerisLab/src/'); raise SystemExit(pytest.main(['-q', '-s', '-p', 'no:cacheprovider', 'tests/validation/multigrid/test_fine_surface_gpu.py', 'tests/validation/multigrid/test_refinement_followup.py::NormalBuildGPU::test_offcenter_rectangle_margin_two_one_step', 'tests/validation/multigrid/test_refinement_followup.py::NormalBuildGPU::test_slot_reservoir_eight_steps']))"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "env": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "CUDA_VISIBLE_DEVICES": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+    "CUDA_CACHE_DISABLE": "1",
+    "TMPDIR": "/tmp/celeris-fine-surface-gpu-e9g3hz7z"
+  },
+  "preflight_temp_bytes": 1637890,
+  "limits": {
+    "wall_seconds": 120,
+    "temp_bytes": 2000000000,
+    "ram_reserve_bytes": 6409175040,
+    "vram_reserve_MiB": 1614
+  },
+  "note": "Sampled own process group; no fixed RSS/address-space cap.",
+  "exit_code": 1,
+  "elapsed_seconds": 25.39498820400331,
+  "peak_group_rss_bytes": 386883584,
+  "peak_temp_bytes": 3585985,
+  "min_ram_bytes": 63638339584,
+  "min_vram_free_MiB": 15826,
+  "termination_reason": null,
+  "scratch_removed": true,
+  "source_hashes_captured_during_run": {
+    "src/CelerisLab/lbm/kernels/refinement.cu": "129f3d91da93b4324f88a0da73a4da1e5390f72c14cce574ee63306712da9895",
+    "src/CelerisLab/lbm/kernels/step/aux_kernels.cu": "578a5b20a157241ee678547059abb1372dd5a589ad06bb2c15b987eb01ca1013",
+    "src/CelerisLab/lbm/kernels/step/curved_double.cu": "bfa7a1df1e939020314d49755045f7a85fe4a19cc1c68dbe62653c66c5e7c2b3",
+    "src/CelerisLab/lbm/refinement.py": "b3fe9e58118369adb1bdfc618fbfbd917d508a563beaf2555f656b59aeff4425",
+    "src/CelerisLab/lbm/refinement_stepper.py": "9178224089ee6584420b79f10cf1d91441645b668e8b6898641d19eac757687b",
+    "src/CelerisLab/lbm/stepper.py": "0dcb7cd7ae87e33e3dc67a38b6aa43042fbe673e37d9ad165342ee1d695933ce",
+    "tests/unit/test_fine_surface.py": "b232b55e75eef52480f06a35c401d72b6145892bb8b79d1d1b3cfed965b3506c",
+    "tests/validation/multigrid/test_fine_surface_gpu.py": "3dd0658f63a4e7a1c41eecf433842c872f8fecb391ea4b44d0b48947643d5189"
+  }
+}
diff --git a/research/fine_surface_20261014/gpu_stdout.txt b/research/fine_surface_20261014/gpu_stdout.txt
new file mode 100644
index 0000000..c5216e0
--- /dev/null
+++ b/research/fine_surface_20261014/gpu_stdout.txt
@@ -0,0 +1,79 @@
+SOURCE /home/frank14f/CelerisLab/src/CelerisLab/__init__.py
+speed=0.0 audit=True BFL=7.4505806e-09 ledger=[1.604948192834854e-05, -5.038455128669739e-07, -6.919726729393005e-07] budget=0.00221051117 boundary=[4.0978193283081055e-08, 0.0, 0.0] transfer=[0.0, 0.0, 0.0] drive_mass=+4.09781933e-08; counts=PASS
+speed=None audit=False BFL=7.4505806e-09 ledger=[1.604948192834854e-05, -5.038455128669739e-07, -6.919726729393005e-07] budget=0.00221051117 boundary=[4.0978193283081055e-08, 0.0, 0.0] transfer=[0.0, 0.0, 0.0] drive_mass=+4.09781933e-08; counts=normal build
+.speed=0.002 audit=True BFL=9.73073444e-09 ledger=[1.597730442881584e-05, -5.154870450496674e-07, -7.622875273227692e-07] budget=0.00221052543 boundary=[0.0071802823804318905, 0.003110995050519705, 0.0026390845887362957] transfer=[0.0, 0.0, 0.0] drive_mass=+0.00620033871; counts=PASS
+.speed=-0.002 audit=True BFL=7.4505806e-09 ledger=[1.66366808116436e-05, -5.881302058696747e-07, -7.147900760173798e-07] budget=0.00221049693 boundary=[-0.007164992857724428, -0.0030983122996985912, -0.00262861093506217] transfer=[0.0, 0.0, 0.0] drive_mass=-0.00618575338; counts=PASS
+.FF.normal rectangle 17x13 bounds=(2, 2, 6, 5) fine=16x14 steps=1: max_population=1.14050047e-07 device_arrays=35288; halo/stride PASS
+host_peak_rss=279.887 MiB
+.slot/reservoir steps=8 max_population=1.78241457e-07 max_BC_error=2.21654773e-07 discrete_leaf_mass_change=+0.0309633738 final_sum_rho_v_bottom=0.00426894613 top=0.000960694626; raw halos/corners/fine BC isolation PASS
+host_peak_rss=279.887 MiB
+.
+=================================== FAILURES ===================================
+_ test_missing_surface_device_buffer_rejects_before_launch[surface_velocity_gpu] _
+
+missing = 'surface_velocity_gpu'
+
+    @pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
+    def test_missing_surface_device_buffer_rejects_before_launch(missing):
+        backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
+        backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
+        backend._fine_curved = SimpleNamespace(surface_velocity_gpu=object(), link_exchange_gpu=object())
+        setattr(backend._fine_curved, missing, None)
+        backend._curved = Mock()
+        with pytest.raises(RuntimeError, match="Surface boundary device buffers are missing"):
+>           backend._apply_fine_boundary(object())
+
+tests/validation/multigrid/test_fine_surface_gpu.py:289: 
+_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
+
+self = <CelerisLab.lbm.refinement_stepper.FixedPatchStepper object at 0x761fb9325480>
+buffer = <object object at 0x761fb937c570>, kw = {}
+cl = namespace(surface_velocity_gpu=None, link_exchange_gpu=<object object at 0x761fb937c630>)
+
+    def _apply_fine_boundary(self, buffer, **kw):
+        """Stage solid source slots; exchange buffer holds this fine substep only."""
+        cl = self._fine_curved
+        if cl is None:
+            if self.fine_boundary is not None:
+                raise RuntimeError("Fine boundary device buffers are missing")
+            return
+>       if self._curved is None or cl.fluid_idx_gpu is None:
+E       AttributeError: 'types.SimpleNamespace' object has no attribute 'fluid_idx_gpu'
+
+src/CelerisLab/lbm/refinement_stepper.py:195: AttributeError
+_ test_missing_surface_device_buffer_rejects_before_launch[link_exchange_gpu] __
+
+missing = 'link_exchange_gpu'
+
+    @pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
+    def test_missing_surface_device_buffer_rejects_before_launch(missing):
+        backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
+        backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
+        backend._fine_curved = SimpleNamespace(surface_velocity_gpu=object(), link_exchange_gpu=object())
+        setattr(backend._fine_curved, missing, None)
+        backend._curved = Mock()
+        with pytest.raises(RuntimeError, match="Surface boundary device buffers are missing"):
+>           backend._apply_fine_boundary(object())
+
+tests/validation/multigrid/test_fine_surface_gpu.py:289: 
+_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
+
+self = <CelerisLab.lbm.refinement_stepper.FixedPatchStepper object at 0x761fb92299c0>
+buffer = <object object at 0x761fb937f700>, kw = {}
+cl = namespace(surface_velocity_gpu=<object object at 0x761fb937f710>, link_exchange_gpu=None)
+
+    def _apply_fine_boundary(self, buffer, **kw):
+        """Stage solid source slots; exchange buffer holds this fine substep only."""
+        cl = self._fine_curved
+        if cl is None:
+            if self.fine_boundary is not None:
+                raise RuntimeError("Fine boundary device buffers are missing")
+            return
+>       if self._curved is None or cl.fluid_idx_gpu is None:
+E       AttributeError: 'types.SimpleNamespace' object has no attribute 'fluid_idx_gpu'
+
+src/CelerisLab/lbm/refinement_stepper.py:195: AttributeError
+=========================== short test summary info ============================
+FAILED tests/validation/multigrid/test_fine_surface_gpu.py::test_missing_surface_device_buffer_rejects_before_launch[surface_velocity_gpu]
+FAILED tests/validation/multigrid/test_fine_surface_gpu.py::test_missing_surface_device_buffer_rejects_before_launch[link_exchange_gpu]
+2 failed, 6 passed in 23.73s
diff --git a/research/fine_surface_20261014/gpu_test_run1.py b/research/fine_surface_20261014/gpu_test_run1.py
new file mode 100644
index 0000000..f30376a
--- /dev/null
+++ b/research/fine_surface_20261014/gpu_test_run1.py
@@ -0,0 +1,316 @@
+"""Two coarse/four fine steps: isolated fine circle, no flux-accuracy claim.
+
+Run only through the bounded GPU runner after a fresh resource check. The test
+hooks read actual kernel inputs/outputs; they never change the stepping order.
+"""
+import importlib.util
+from contextlib import nullcontext
+from pathlib import Path
+from threading import RLock
+from types import SimpleNamespace
+from unittest.mock import Mock, patch
+
+import numpy as np
+import pycuda.driver as cuda
+import pytest
+
+import CelerisLab
+from CelerisLab.body.geometry.circle import CircleGeometry
+from CelerisLab.body.objects import SimObject
+from CelerisLab.config import LBMConfig
+from CelerisLab.cuda import compiler_v2 as compiler
+from CelerisLab.cuda.context import CudaContext
+from CelerisLab.lbm import refinement_stepper as implementation
+from CelerisLab.lbm.descriptors import FLUID, SOLID
+
+
+ROOT = Path(__file__).resolve().parents[3]
+CX = np.array([0, 1, -1, 0, 0, 1, -1, 1, -1])
+CY = np.array([0, 0, 0, 1, -1, 1, -1, -1, 1])
+OPP = np.array([0, 2, 1, 4, 3, 6, 5, 8, 7])
+W = np.array([4/9]+[1/9]*4+[1/36]*4)
+MOMENTS = np.stack((np.ones(9), CX, CY))
+GEOMETRY = ("fluid_idx", "dir", "q", "body_id", "rx", "ry", "rz", "fallback_class")
+BOUNDS = (4, 4, 20, 20)
+
+
+def read(pointer, shape, dtype=np.float32):
+    values = np.empty(shape, dtype)
+    cuda.memcpy_dtoh(values, pointer)
+    return values
+
+
+def rest(shape):
+    return np.broadcast_to(W[:, None, None], (9, *shape)).astype(np.float32).copy()
+
+
+def surface(speed):
+    return None if speed is None else dict(angle=.7, half_width=.85, normal_velocity=speed)
+
+
+def object_spec(speed):
+    return SimObject(0, CircleGeometry(12.25, 12.25, 2.15), center=(12.25, 12.25),
+                     radius=2.15, surface_actuation=surface(speed))
+
+
+def audit_compiler(original):
+    def compile_private(*args, **kwargs):
+        entry = Path(kwargs["build_dir"])/"fine_surface_audit.cu"
+        entry.write_text('#define CELERIS_REFINEMENT_AUDIT\n#include "refinement.cu"\n')
+        kwargs["source"] = entry.name
+        return original(*args, **kwargs)
+    return compile_private
+
+
+def reflection_oracle(before, cl, speed, *, verify_projection=True):
+    """FP64 BFL from frozen spatial populations, independent arc projection."""
+    flat = before.astype(float).reshape(9, -1)
+    radius = np.hypot(cl.rx.astype(float), cl.ry.astype(float))
+    delta = (np.arctan2(cl.ry.astype(float), cl.rx.astype(float))-.7+np.pi) % (2*np.pi)-np.pi
+    amplitude = 0 if speed is None else speed
+    strength = amplitude*np.maximum(0, 1-(delta/.85)**2)**2
+    velocity = strength[:, None]*np.column_stack((cl.rx, cl.ry))/radius[:, None]
+    if verify_projection and cl.surface_velocity is not None:
+        np.testing.assert_allclose(cl.surface_velocity, velocity, atol=3e-9, rtol=0)
+    incoming = []
+    for i, (k, d, q, fallback) in enumerate(zip(cl.fluid_idx, cl.dir, cl.q, cl.fallback_class)):
+        k, d, q = int(k), int(d), float(q)
+        rho = flat[:, k].sum()
+        dot = CX[d]*velocity[i, 0]+CY[d]*velocity[i, 1]
+        if fallback:
+            value = flat[d, k]-6*W[d]*rho*dot
+        elif q < .5:
+            value = 2*q*flat[d, k]+(1-2*q)*flat[d, k-CX[d]-40*CY[d]]-6*W[d]*rho*dot
+        else:
+            value = flat[d, k]/(2*q)+(1-1/(2*q))*flat[OPP[d], k]-3*W[d]*rho*dot/q
+        incoming.append(value)
+    return np.array(incoming)
+
+
+def fine_flux(before, staged, active, solid):
+    """Population ledger across the fine leaf boundary: solid versus halo.
+
+    Internal fluid-to-fluid streaming cancels pairwise; solid and halo packets
+    are counted in their actual direction, before any collision.
+    """
+    boundary, transfer = np.zeros(9), np.zeros(9)
+    magnitude = 0.0
+    for d, (cx, cy) in enumerate(zip(CX, CY)):
+        incoming = active & ~np.roll(active, (cy, cx), (0, 1))
+        outgoing = active & ~np.roll(active, (-cy, -cx), (0, 1))
+        from_solid = np.roll(solid, (cy, cx), (0, 1))
+        into_solid = np.roll(solid, (-cy, -cx), (0, 1))
+        received = np.roll(staged[d], (cy, cx), (0, 1)).astype(float)
+        sent = before[d].astype(float)
+        for vector, inc, out in ((boundary, incoming & from_solid, outgoing & into_solid),
+                                 (transfer, incoming & ~from_solid, outgoing & ~into_solid)):
+            assert np.isfinite(received[inc]).all() and np.isfinite(sent[out]).all()
+            vector[d] = received[inc].sum()-sent[out].sum()
+            magnitude += np.abs(received[inc]).sum()+np.abs(sent[out]).sum()
+    return boundary, transfer, magnitude
+
+
+def coarse_flux(before, fine, active):
+    """Derive every replacement from physical midpoints, not production tables."""
+    x0, y0, x1, y1 = BOUNDS
+    incoming = np.stack([np.roll(before[d], (CY[d], CX[d]), (0, 1)) for d in range(9)]).astype(float)
+    magnitude = 0.0
+    for y, x in np.argwhere(active):
+        for d in range(1, 9):
+            if x0 <= x+.5-CX[d]/2 <= x1 and y0 <= y+.5-CY[d]/2 <= y1:
+                a, b = 4+2*(x-x0), 4+2*(y-y0)
+                children = fine[d, b:b+2, a:a+2].astype(float)
+                assert children.shape == (2, 2) and np.isfinite(children).all()
+                incoming[d, y, x] = children.sum()/4
+                magnitude += np.abs(children).sum()/4
+    assert np.isfinite(incoming[:, active]).all()
+    # This retains the eight grazing-corner replacements of uncovered donors.
+    flux = (incoming[:, active]-before[:, active].astype(float)).sum(axis=1)
+    magnitude += np.abs(incoming[:, active]).sum()+np.abs(before[:, active]).sum(dtype=float)
+    return flux, magnitude
+
+
+def run_patch(speed, *, audit=True):
+    cfg = LBMConfig(nx=24, ny=24, viscosity=.05, velocity=0, rho=1)
+    coarse_active = np.ones((24, 24), bool)
+    coarse_active[4:20, 4:20] = False
+    source = object_spec(speed)
+    state = vars(source.state).copy()
+    with CudaContext(0) as context:
+        build = (patch.object(compiler, "compile_kernel", audit_compiler(compiler.compile_kernel))
+                 if audit else nullcontext())
+        with build:
+            backend = implementation.FixedPatchStepper(cfg, BOUNDS, context=context, fine_objects=[source])
+        with backend, context.activate():
+            c, f = backend._levels
+            cl = backend._fine_curved
+            geometry = {name: getattr(cl, name).copy() for name in GEOMETRY}
+            flags = backend.fine_boundary.flags.reshape(40, 40)
+            solid = (flags & SOLID) != 0
+            active = np.zeros((40, 40), bool)
+            active[4:-4, 4:-4] = True
+            active &= (flags & FLUID) != 0
+            active &= ~solid
+            local = backend.fine_boundary.objects[0]
+            assert local.center == (20., 20.) and local.radius == 4.3
+            assert source.center == (12.25, 12.25) and source.radius == 2.15
+            yy, xx = np.mgrid[:40, :40]
+            roi = active & ((xx-20)**2+(yy-20)**2 <= 9**2)
+            backend.initialize(rest((24, 24)), rest((40, 40)))
+            if audit:
+                for level in backend._levels:
+                    for name in ("collision_counts", "explosion_counts", "incoming_counts"):
+                        pointer, size = level.module.get_global(name)
+                        cuda.memset_d8(pointer, 0, size)
+            initial = backend.download()
+            initial_pop = initial[0][:, coarse_active].sum(axis=1, dtype=float)
+            initial_pop += .25*initial[1][:, active].sum(axis=1, dtype=float)
+            boundary, fine_transfer, coarse_transfer = np.zeros(9), np.zeros(9), np.zeros(9)
+            budget_sum, reflection_error, drive_mass = 0., 0., 0.
+            traces = []
+            original_curved, original_fine, original_coarse = backend._curved, f.kernel, c.kernel
+
+            def curved(*args, **kwargs):
+                nonlocal boundary, fine_transfer, budget_sum, reflection_error, drive_mass
+                backend._stream.synchronize()
+                before = read(args[0], f.shape)
+                expected = reflection_oracle(before, cl, speed)
+                original_curved(*args, **kwargs)
+                backend._stream.synchronize()
+                staged = read(args[0], f.shape)
+                d, k = cl.dir.astype(int), cl.fluid_idx.astype(int)
+                values = staged.reshape(9, -1)[OPP[d], k+CX[d]+40*CY[d]]
+                passive = reflection_oracle(before, cl, None, verify_projection=False)
+                drive_mass += .25*float(np.sum(values-passive))
+                error = float(np.max(np.abs(values-expected)))
+                reflection_error = max(reflection_error, error)
+                assert error <= 1e-7
+                np.testing.assert_array_equal(staged[:, active], before[:, active])
+                b, transfer, magnitude = fine_flux(before, staged, active, solid)
+                boundary += .25*b
+                fine_transfer += .25*transfer
+                budget_sum += .25*magnitude
+
+            def fine(*args, **kwargs):
+                nonlocal budget_sum
+                backend._stream.synchronize()
+                staged = read(args[0], f.shape)
+                original_fine(*args, **kwargs)
+                backend._stream.synchronize()
+                advanced = read(args[1], f.shape)
+                assert np.isfinite(advanced[:, active]).all()
+                assert np.isnan(advanced[:, solid]).all()
+                # Include actual collision operands in the FP32 rounding budget.
+                budget_sum += .25*np.abs(staged[:, active]).sum(dtype=float)
+                traces.append(advanced[:, roi].copy())
+
+            def coarse(*args, **kwargs):
+                nonlocal coarse_transfer, budget_sum
+                backend._stream.synchronize()
+                before, fine_values = read(args[0], c.shape), read(args[2], f.shape)
+                transfer, magnitude = coarse_flux(before, fine_values, coarse_active)
+                coarse_transfer += transfer
+                budget_sum += magnitude
+                return original_coarse(*args, **kwargs)
+
+            with patch.object(backend, "_curved", curved), patch.object(f, "kernel", fine), \
+                    patch.object(c, "kernel", coarse):
+                backend.step(2)
+            actual = backend.download()
+            population = actual[0][:, coarse_active].sum(axis=1, dtype=float)
+            population += .25*actual[1][:, active].sum(axis=1, dtype=float)
+            ledger = boundary+fine_transfer+coarse_transfer
+            error = MOMENTS@(population-initial_pop-ledger)
+            budget = 8*np.finfo(np.float32).eps*budget_sum
+            assert np.isfinite(budget_sum) and budget_sum > 0
+            assert np.max(np.abs(error)) <= budget
+            if speed:
+                assert speed*drive_mass > 0
+            assert len(traces) == 4 and backend.step_count == 2
+            if audit:
+                for level, mask, count in ((c, coarse_active, 2), (f, active, 4)):
+                    pointer, size = level.module.get_global("collision_counts")
+                    counts = read(pointer, mask.shape, np.uint32)
+                    assert size == counts.nbytes
+                    np.testing.assert_array_equal(counts, count*mask)
+            for name, values in geometry.items():
+                np.testing.assert_array_equal(getattr(cl, name), values)
+            assert vars(source.state) == state and source.geometry.center == source.center
+            print(f"speed={speed} audit={audit} BFL={reflection_error:.9g} ledger={error.tolist()} "
+                  f"budget={budget:.9g} boundary={list(MOMENTS@boundary)} "
+                  f"transfer={list(MOMENTS@(fine_transfer+coarse_transfer))} "
+                  f"drive_mass={drive_mass:+.9g}; counts={'PASS' if audit else 'normal build'}", flush=True)
+            return traces, roi, actual
+
+
+def uniform_reference(speed, roi):
+    # Reuse the existing explicit config helper without importing unrelated tests.
+    spec = importlib.util.spec_from_file_location("fine_surface_cases", ROOT/"tests/integration/_cases.py")
+    cases = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(cases)
+    with cases.make_sim(nx=48, ny=48, viscosity=.1, velocity=0, rho=1) as sim:
+        sim.add_body("circle", center=(24, 24), radius=4.3, surface_actuation=surface(speed))
+        sim.initialize()
+        # Uniform 48^2 has the same dx=dt=.5 representation. Its distant channel
+        # boundaries cannot influence the circle ROI within these four hops.
+        traces = []
+        for _ in range(4):
+            sim.run(1)
+            traces.append(sim.get_ddf().reshape(9, 48, 48)[:, 4:44, 4:44][:, roi].copy())
+        return traces
+
+
+@pytest.mark.parametrize("speed", [0., .002, -.002])
+def test_fine_surface_four_hops(speed):
+    assert Path(CelerisLab.__file__).resolve() == ROOT/"src/CelerisLab/__init__.py"
+    assert Path(compiler._KERNEL_DIR).resolve() == ROOT/"src/CelerisLab/lbm/kernels"
+    assert Path(implementation.__file__).resolve() == ROOT/"src/CelerisLab/lbm/refinement_stepper.py"
+    actual, roi, final = run_patch(speed)
+    reference = uniform_reference(speed, roi)
+    for got, wanted in zip(actual, reference):
+        np.testing.assert_allclose(got, wanted, atol=3e-6, rtol=0)
+        np.testing.assert_allclose(MOMENTS@got.astype(float), MOMENTS@wanted.astype(float),
+                                   atol=2e-5, rtol=0)
+    if speed == 0:
+        passive, passive_roi, passive_final = run_patch(None, audit=False)
+        np.testing.assert_array_equal(passive_roi, roi)
+        for got, wanted in zip(actual+list(final), passive+list(passive_final)):
+            np.testing.assert_array_equal(got, wanted)
+
+
+@pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
+def test_missing_surface_device_buffer_rejects_before_launch(missing):
+    backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
+    backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
+    backend._fine_curved = SimpleNamespace(surface_velocity_gpu=object(), link_exchange_gpu=object())
+    setattr(backend._fine_curved, missing, None)
+    backend._curved = Mock()
+    with pytest.raises(RuntimeError, match="Surface boundary device buffers are missing"):
+        backend._apply_fine_boundary(object())
+    backend._curved.assert_not_called()
+
+
+def test_close_frees_fine_boundary_after_stream_failure_once():
+    backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
+    backend.ctx = SimpleNamespace(activate=nullcontext)
+    backend._lock = RLock()
+    backend._status = "ready"
+    stream, soa, first, second = Mock(), Mock(), Mock(), Mock()
+    stream.synchronize.side_effect = RuntimeError("stream synchronization failed")
+    backend._stream = stream
+    backend._fine_curved = soa
+    backend._fine_flags = first
+    backend._curved = Mock()
+    backend._levels = [object(), object()]
+    backend._allocations = [first, second]
+    with pytest.raises(RuntimeError, match="stream synchronization failed"):
+        backend.close()
+    assert backend._status == "closed"
+    assert backend._levels == [] and backend._allocations == []
+    assert backend._fine_curved is None and backend._fine_flags is None
+    assert backend._curved is None and backend._stream is None
+    backend.close()
+    stream.synchronize.assert_called_once_with()
+    soa.free.assert_called_once_with()
+    first.free.assert_called_once_with()
+    second.free.assert_called_once_with()
diff --git a/research/fine_surface_20261014/incremental.diff b/research/fine_surface_20261014/incremental.diff
new file mode 100644
index 0000000..318d92e
--- /dev/null
+++ b/research/fine_surface_20261014/incremental.diff
@@ -0,0 +1,1099 @@
+--- a/src/CelerisLab/lbm/kernels/refinement.cu
++++ b/src/CelerisLab/lbm/kernels/refinement.cu
+@@ -7,10 +7,17 @@
+ #include "core/descriptors.cuh"
+ #include "core/layout.cuh"
+ #include "core/params.cuh"
++#include "core/flags.cuh"
++#include "core/obs.cuh"
+ #include "operators/macro.cuh"
+ #include "operators/collision_srt.cuh"
+ #include "streaming/pull_double_buffer.cuh"
+ #include "boundary/planar_velocity.cuh"
++#include "boundary/curved_boundary.cuh"
++
++extern "C" {
++#include "step/curved_double.cu"
++}
+ 
+ #if DIM != 2 || NQ != 9 || COLLISION_MODEL != 0 || STORE_PRECISION != 0 || USE_DDF_SHIFTING || USE_LES || STREAMING_MODEL != 0
+ #error "Refinement requires unshifted FP32 D2Q9 SRT double buffers without LES"
+@@ -48,14 +55,15 @@
+ #endif
+ }
+ 
+-extern "C" __global__ void PatchFineStep(const float* in, float* out) {
++extern "C" __global__ void PatchFineStep(const float* in, float* out, const uint16_t* flags) {
+     unsigned int x, y; unsigned long k;
+     index_from_thread(x, y, k);
+     if (x >= NX || y >= NY) return;
+     float f[NQ];
+     // Outer halo is invalid after EACH hop, including when reusing the buffer
+     // that held explosion data. Inner halo only streams; it never collides.
+-    if (x < 2 || y < 2 || x >= NX - 2 || y >= NY - 2) {
++    if (x < 2 || y < 2 || x >= NX - 2 || y >= NY - 2
++            || (flags != nullptr && is_solid(flags[k]))) {
+         for (int q = 0; q < NQ; ++q) f[q] = NAN;
+     } else {
+         unsigned long j[NQ];
+--- a/src/CelerisLab/lbm/kernels/step/aux_kernels.cu
++++ b/src/CelerisLab/lbm/kernels/step/aux_kernels.cu
+@@ -24,61 +24,7 @@
+ #include "../streaming/esopull_semantic_helpers.cuh"
+ #include "../boundary/esopull_curved_helpers.cuh"
+ 
+-__device__ __forceinline__ float action_omega(const float* action, int body_id)
+-{
+-    if (action == nullptr || body_id < 0) return 0.0f;
+-    unsigned int base = (unsigned int)body_id * (unsigned int)OBS_BODY_SLOT_FLOATS;
+-    return action[base + (unsigned int)(OBS_BODY_SLOT_FLOATS - 1)];
+-}
+-
+-__global__ void CurvedBoundaryKernel(
+-    fpxx* fi,
+-    const unsigned int* cl_fluid_idx,
+-    const unsigned char* cl_dir,
+-    const float* cl_q,
+-    const float* cl_rx,
+-    const float* cl_ry,
+-    const float* cl_rz,
+-    const unsigned char* cl_fallback_class,
+-    const int* cl_body_id,
+-    const float* action,
+-    float* obs,
+-    unsigned int n_curved,
+-    const float* surface_velocity = nullptr, float* link_exchange = nullptr)
+-{
+-    unsigned int tid = threadIdx.x + blockIdx.x * blockDim.x;
+-    if (tid >= n_curved) return;
+-
+-    const unsigned long k_f = (unsigned long)cl_fluid_idx[tid];
+-    const unsigned int dir = (unsigned int)cl_dir[tid];
+-    const float q = cl_q[tid];
+-    const int bid = cl_body_id[tid];
+-    const float rx = cl_rx[tid];
+-    const float ry = cl_ry[tid];
+-    const unsigned char fallback_class = cl_fallback_class[tid];
+-    const float omega = action_omega(action, bid);
+-
+-#if DIM == 2
+-    float Uw = -omega * ry;
+-    float Vw =  omega * rx;
+-    if (surface_velocity != nullptr) {
+-        // Independent prescribed fluid velocity on fixed geometry.
+-        const float u = surface_velocity[2*tid], v = surface_velocity[2*tid+1];
+-        if (u != 0.0f || v != 0.0f) { Uw += u; Vw += v; }
+-    }
+-    (void)cl_rz;
+-    apply_bouzidi_link(dir, q, k_f, fi, Uw, Vw, rx, ry, fallback_class, obs, bid,
+-                       link_exchange == nullptr ? nullptr : link_exchange + 3*tid);
+-#elif DIM == 3
+-    const float rz = cl_rz[tid];
+-    const float Uw = -omega * ry;
+-    const float Vw =  omega * rx;
+-    const float Ww = 0.0f;
+-    apply_bouzidi_link(dir, q, k_f, fi, Uw, Vw, Ww,
+-                       rx, ry, rz, fallback_class, obs, bid);
+-#endif
+-}
+-// End of CurvedBoundaryKernel
++#include "curved_double.cu"
+ 
+ // ---------------------------------------------------------------------------
+ // PrepareEsoPullCurvedKernel -- read-only curved prep for EsoPull
+--- /dev/null
++++ b/src/CelerisLab/lbm/kernels/step/curved_double.cu
+@@ -0,0 +1,61 @@
++// Shared compact double-buffer curved boundary; caller supplies core/BFL headers.
++#ifndef CELERIS_CURVED_DOUBLE_CU
++#define CELERIS_CURVED_DOUBLE_CU
++
++__device__ __forceinline__ float action_omega(const float* action, int body_id)
++{
++    if (action == nullptr || body_id < 0) return 0.0f;
++    unsigned int base = (unsigned int)body_id * (unsigned int)OBS_BODY_SLOT_FLOATS;
++    return action[base + (unsigned int)(OBS_BODY_SLOT_FLOATS - 1)];
++}
++
++__global__ void CurvedBoundaryKernel(
++    fpxx* fi,
++    const unsigned int* cl_fluid_idx,
++    const unsigned char* cl_dir,
++    const float* cl_q,
++    const float* cl_rx,
++    const float* cl_ry,
++    const float* cl_rz,
++    const unsigned char* cl_fallback_class,
++    const int* cl_body_id,
++    const float* action,
++    float* obs,
++    unsigned int n_curved,
++    const float* surface_velocity = nullptr, float* link_exchange = nullptr)
++{
++    unsigned int tid = threadIdx.x + blockIdx.x * blockDim.x;
++    if (tid >= n_curved) return;
++
++    const unsigned long k_f = (unsigned long)cl_fluid_idx[tid];
++    const unsigned int dir = (unsigned int)cl_dir[tid];
++    const float q = cl_q[tid];
++    const int bid = cl_body_id[tid];
++    const float rx = cl_rx[tid];
++    const float ry = cl_ry[tid];
++    const unsigned char fallback_class = cl_fallback_class[tid];
++    const float omega = action_omega(action, bid);
++
++#if DIM == 2
++    float Uw = -omega * ry;
++    float Vw =  omega * rx;
++    if (surface_velocity != nullptr) {
++        // Independent prescribed fluid velocity on fixed geometry.
++        const float u = surface_velocity[2*tid], v = surface_velocity[2*tid+1];
++        if (u != 0.0f || v != 0.0f) { Uw += u; Vw += v; }
++    }
++    (void)cl_rz;
++    apply_bouzidi_link(dir, q, k_f, fi, Uw, Vw, rx, ry, fallback_class, obs, bid,
++                       link_exchange == nullptr ? nullptr : link_exchange + 3*tid);
++#elif DIM == 3
++    const float rz = cl_rz[tid];
++    const float Uw = -omega * ry;
++    const float Vw =  omega * rx;
++    const float Ww = 0.0f;
++    apply_bouzidi_link(dir, q, k_f, fi, Uw, Vw, Ww,
++                       rx, ry, rz, fallback_class, obs, bid);
++#endif
++}
++// End of CurvedBoundaryKernel
++
++#endif
+--- a/src/CelerisLab/lbm/refinement.py
++++ b/src/CelerisLab/lbm/refinement.py
+@@ -1,9 +1,9 @@
+-"""CPU preparation for one fixed D2Q9 2:1 patch; no coupled stepper yet.
++"""CPU preparation for one fixed D2Q9 2:1 patch and optional interior circles.
+ 
+ Cell indices use y*nx+x; population slots use q*(nx*ny)+cell, matching
+ core/layout.cuh. Bounds are half-open (x0, y0, x1, y1) in coarse cells.
+ The four fine halo cells implement the pinned CPUREF volumetric geometry.
+-Topology does not encode physical boundary conditions or obstacle safety.
++Base topology is independent of boundaries; prepare_fine_boundary checks them.
+ """
+ from dataclasses import dataclass, replace
+ from numbers import Integral
+@@ -11,7 +11,7 @@
+ import numpy as np
+ 
+ from ..config import LBMConfig
+-from .descriptors import D2Q9_EX, D2Q9_EY
++from .descriptors import D2Q9_EX, D2Q9_EY, FLUID, SOLID
+ 
+ ACTIVE, INNER_GHOST, OUTER_GHOST = 0, 1, 2
+ HALO = 4
+@@ -136,3 +136,157 @@
+                 raise ValueError("step counts must be nonnegative integers")
+         if fine_steps != 2 * coarse_steps:
+             raise ValueError("levels are not synchronized: fine_steps must equal 2*coarse_steps")
++
++
++@dataclass(frozen=True, eq=False)
++class FineBoundary2D:
++    """Fixed local projection plus auditable, finite transfer dependency sets.
++
++    transfer_reads rows are (hop, direction, cell), traced from coalescence at
++    hop 2 back to exploded G at hop 0. No previous coarse interval is traversed.
++    Cell footprints also include the whole explosion write/donor tables.
++    """
++    objects: tuple
++    flags: np.ndarray
++    curved_host: tuple
++    boundary_cells: np.ndarray
++    transfer_fine_cells: np.ndarray
++    transfer_coarse_cells: np.ndarray
++    transfer_reads: np.ndarray
++
++
++def _transfer_footprint(patch):
++    ny, nx = patch.fine_shape
++    cells = nx * ny
++    pending = [(2, *divmod(int(slot), cells)) for slot in patch.coalesce_fine.ravel()]
++    reads = set()
++    while pending:
++        hop, q, k = pending.pop()
++        if (hop, q, k) in reads:
++            continue
++        reads.add((hop, q, k))
++        if hop == 0:
++            continue
++        y, x = divmod(k, nx)
++        kind = patch.fine_kind[y, x]
++        if kind == OUTER_GHOST:
++            raise ValueError("Transfer reads an invalid post-hop outer ghost")
++        # A collided output depends on all nine arrivals; ghosts only stream.
++        for direction in (range(9) if kind == ACTIVE else (q,)):
++            sx, sy = x - D2Q9_EX[direction], y - D2Q9_EY[direction]
++            if not (0 <= sx < nx and 0 <= sy < ny):
++                raise ValueError("Transfer dependency leaves the fine allocation")
++            pending.append((hop - 1, direction, sy * nx + sx))
++    fine = set(map(int, patch.ghost_fine)) | {k for _, _, k in reads}
++    coarse = set(map(int, patch.ghost_coarse)) | set(map(
++        int, patch.coalesce_coarse % np.prod(patch.coarse_shape)))
++    return fine, coarse, _readonly(sorted(reads), np.int64)
++
++
++def prepare_fine_boundary(cfg, patch, objects, *, wall_aware=False):
++    """Project fixed circles and reject boundary/transfer overlap before CUDA.
++
++    Input centers/radii are in coarse physical coordinates (dx=dt=1).
++    SurfaceActuation retains its lattice-velocity meaning: input coarse units
++    are converted into independent fine-local objects with dx=dt=.5.
++    Original objects are not retained or mutated. No runtime geometry updates.
++    """
++    if not objects:
++        return None
++    checked = replace(cfg)
++    checked.validate()
++    if (patch.coarse_shape != (cfg.ny, cfg.nx) or not checked.is_d2q9
++            or checked.collision != "SRT" or checked.streaming != "double_buffer"
++            or checked.store_precision != "FP32" or checked.ddf_shifting or checked.les_enabled
++            or patch.tau_coarse != 3*checked.viscosity+.5):
++        raise ValueError("Fine boundary requires the matching fixed-patch configuration")
++    from ..body.geometry.circle import CircleGeometry
++    from ..body.objects import SimObject
++    from ..body.coupling.soa_packer import pack_cut_links_to_soa
++
++    ny, nx = patch.fine_shape
++    fine_cfg = replace(cfg, nx=nx, ny=ny, viscosity=2 * cfg.viscosity)
++    flags = np.full(nx * ny, FLUID, np.uint16)
++    active = patch.fine_kind.ravel() == ACTIVE
++    local, links = [], []
++    x0, y0, x1, y1 = patch.bounds
++    dx = dt = .5
++    for bid, obj in enumerate(objects):
++        if (type(obj.geometry) is not CircleGeometry or obj.is_sensor or obj.is_force_region
++                or any(getattr(obj.state, name) != 0 for name in ("vx", "vy", "omega"))
++                or any(vars(obj.control).values())):
++            raise ValueError("Fine boundaries require stationary circles without other roles")
++        cx, cy = obj.geometry.center
++        radius = obj.geometry._radius
++        if (not np.isfinite([cx, cy, radius]).all() or radius <= 0
++                or cx-radius < x0 or cx+radius > x1 or cy-radius < y0 or cy+radius > y1):
++            raise ValueError("Entire fine circle must lie inside the physical patch")
++        center = tuple((v-o)/dx-.5 for v, o in zip((cx, cy), patch.fine_origin))
++        spec = obj.surface_actuation
++        if spec is not None:
++            spec = replace(spec, normal_velocity=spec.normal_velocity * dt / dx)
++        item = SimObject(bid, geometry=CircleGeometry(*center, radius/dx),
++                         center=center, radius=radius/dx, surface_actuation=spec)
++        item.validate_surface_actuation(fine_cfg)
++        mask = item.get_flag_mask(nx, ny)
++        solid = (mask & SOLID) != 0
++        if not solid.any() or np.any(solid & ~active) or np.any(flags[solid] & SOLID):
++            raise ValueError("Fine solids must be resolved, disjoint and entirely active")
++        flags[solid] = mask[solid]
++        local.append(item)
++    for item in local:
++        cut = item.geometry.build_cut_links(nx, ny, domain_flags=flags)
++        if not cut:
++            raise ValueError("Fine circle has no resolved cut links")
++        if item.surface_actuation is not None:
++            _, aperture = item.surface_actuation.project(
++                np.array([link.rx for link in cut], np.float32),
++                np.array([link.ry for link in cut], np.float32))
++            if not aperture.any():
++                raise ValueError("Surface aperture hits no resolved cut links")
++        for link in cut:
++            link.body_id = item.obj_id
++        links.extend(cut)
++
++    boundary, writers, receivers = set(), set(), set()
++    for link in links:
++        r, q = link.fluid_idx, link.dir
++        y, x = divmod(r, nx)
++        sx, sy = x + D2Q9_EX[q], y + D2Q9_EY[q]
++        s = sy * nx + sx
++        if not (active[r] and flags[r] & FLUID and active[s] and flags[s] & SOLID):
++            raise ValueError("Cut-link receiver/source must be active fluid/solid")
++        writer = (s, q+1 if q % 2 else q-1)
++        if writer in writers:
++            raise ValueError("Duplicate fine boundary writer")
++        writers.add(writer)
++        receivers.add((r, q))
++        boundary.update((r, s))
++        if link.q < .5:
++            dx_, dy_ = x - D2Q9_EX[q], y - D2Q9_EY[q]
++            if not (0 <= dx_ < nx and 0 <= dy_ < ny and active[dy_*nx+dx_]):
++                raise ValueError("q<.5 donor crosses the fine active interface; fallback cannot hide it")
++            boundary.add(dy_*nx+dx_)
++    # Reverse coverage: every fluid pull across a solid neighbor needs a writer.
++    required = set()
++    for r in np.flatnonzero(active & ((flags & FLUID) != 0)):
++        for q in range(1, 9):
++            if flags[r + D2Q9_EX[q] + nx*D2Q9_EY[q]] & SOLID:
++                required.add((int(r), q))
++    if required != receivers:
++        raise ValueError("Fine solid pull coverage does not match the cut links")
++    fine, coarse, reads = _transfer_footprint(patch)
++    if fine & (boundary | set(map(int, np.flatnonzero(flags & SOLID)))):
++        raise ValueError("Boundary stencil overlaps the two-hop transfer footprint")
++    for k in coarse:
++        y, x = divmod(k, cfg.nx)
++        if x0 <= x < x1 and y0 <= y < y1:
++            raise ValueError("Transfer coarse donor/target is not an uncovered bulk cell")
++        # Coarse reconstruction targets y=1,ny-2 pull from y=0..2,ny-3..ny-1.
++        if wall_aware and (y <= 2 or y >= cfg.ny-3):
++            raise ValueError("Transfer footprint touches the coarse wall reconstruction stencil")
++    return FineBoundary2D(tuple(local), _readonly(flags, np.uint16),
++                          tuple(_readonly(a, a.dtype) for a in pack_cut_links_to_soa(links)),
++                          _readonly(sorted(boundary), np.uint32),
++                          _readonly(sorted(fine), np.uint32),
++                          _readonly(sorted(coarse), np.uint32), reads)
+--- a/src/CelerisLab/lbm/refinement_stepper.py
++++ b/src/CelerisLab/lbm/refinement_stepper.py
+@@ -1,5 +1,5 @@
+ # CelerisLab/lbm/refinement_stepper.py
+-"""Opt-in fixed patch backend; no Simulation/objects adapter.
++"""Opt-in fixed patch backend with optional stationary fine-interior circles.
+ 
+ The caller owns the CudaContext and must close this backend before that context.
+ Only synchronized postcollision_g leaf populations are public. No checkpoint,
+@@ -14,7 +14,8 @@
+ import pycuda.driver as cuda
+ 
+ from ..cuda import compiler_v2 as compiler
+-from .refinement import ACTIVE, HALO, FixedPatch2D
++from .refinement import ACTIVE, HALO, FixedPatch2D, prepare_fine_boundary
++from .descriptors import SOLID
+ 
+ 
+ @dataclass
+@@ -33,7 +34,11 @@
+     ``coarse_boundary`` is ``periodic`` (default) or ``slot_reservoir``:
+     a bottom on-site slot and top fixed-density reservoir from ``cfg``.
+     Periodic mode does not apply the wall/slot boundary fields in ``cfg``.
+-    Physical walls remain coarse; fine halo donors must be ordinary fluid.
++    Outer walls remain coarse; fine halo donors must be ordinary fluid.
++    ``fine_objects`` accepts fixed circles in coarse physical coordinates;
++    velocities are in coarse lattice units (dx=dt=1). Independent local copies
++    are projected at fine cell centers. Their complete stencil must be active
++    and disjoint from the actual two-hop transfer footprint.
+ 
+     ``initialize(coarse_g, fine_g)`` accepts physical Q-major (9,ny,nx) arrays
+     already in postcollision phase. It does not collide or build channel flags.
+@@ -41,7 +46,7 @@
+     On a device/launch failure the instance becomes unusable: close and recreate
+     it, rather than pretending the partially advanced fine buffer rolled back.
+     """
+-    def __init__(self, cfg, bounds, *, context, coarse_boundary="periodic"):
++    def __init__(self, cfg, bounds, *, context, coarse_boundary="periodic", fine_objects=()):
+         if HALO != 4:
+             raise RuntimeError("refinement.cu requires a four-cell fine halo")
+         if coarse_boundary not in ("periodic", "slot_reservoir"):
+@@ -55,6 +60,11 @@
+                                  "velocity=0 and 2 <= wall_slot_width < nx")
+             if self.patch.bounds[1] < 4 or self.patch.bounds[3] > cfg.ny - 4:
+                 raise ValueError("slot_reservoir requires y0 >= 4 and y1 <= ny-4")
++        self.fine_boundary = prepare_fine_boundary(
++            cfg, self.patch, tuple(fine_objects), wall_aware=self._wall_aware)
++        self._fine_leaf = self.patch.fine_kind == ACTIVE
++        if self.fine_boundary is not None:
++            self._fine_leaf &= (self.fine_boundary.flags.reshape(self.patch.fine_shape) & SOLID) == 0
+         self.ctx = context
+         self._lock = RLock()
+         self._status = "new"
+@@ -62,6 +72,7 @@
+         self._allocations = []
+         self._levels = []
+         self._stream = None
++        self._fine_flags = self._fine_curved = self._curved = None
+         self._block = (cfg.threads_per_block, 1, 1)
+         fine_cfg = replace(cfg, nx=self.patch.fine_shape[1], ny=self.patch.fine_shape[0],
+                            viscosity=2 * cfg.viscosity)
+@@ -76,7 +87,9 @@
+                     config.validate()
+                     if not np.isclose(config.omega, 1 / tau, rtol=1e-14, atol=0):
+                         raise RuntimeError("level omega/tau mismatch")
+-                    build = compiler.generate_config(config, n_objects=0)
++                    n_objects = (len(self.fine_boundary.objects)
++                                 if name == "PatchFineStep" and self.fine_boundary is not None else 0)
++                    build = compiler.generate_config(config, n_objects=n_objects)
+                     try:
+                         ptx = compiler.compile_kernel(self.ctx.sm_arch, source="refinement.cu",
+                                                       build_dir=build)
+@@ -86,7 +99,7 @@
+                     ptr, size = module.get_global("d_params")
+                     if size != struct.calcsize("=ffffI"):
+                         raise RuntimeError("LBMParams host/device layout mismatch")
+-                    cuda.memcpy_htod(ptr, struct.pack("=ffffI", config.omega, 0, 0, 0, 0))
++                    cuda.memcpy_htod(ptr, struct.pack("=ffffI", config.omega, 0, 0, 0, n_objects))
+                     shape = (9, config.ny, config.nx)
+                     size = int(np.prod(shape)) * 4
+                     self._levels.append(_Level(shape, module, self._allocate(size),
+@@ -100,6 +113,16 @@
+                 self._targets = self._upload(p.coalesce_coarse[order])
+                 self._children = self._upload(p.coalesce_fine[order])
+                 self._explode = self._levels[1].module.get_function("PatchExplode")
++                if self.fine_boundary is not None:
++                    from .curved_links import CurvedLinkSoA
++                    boundary = self.fine_boundary
++                    self._fine_flags = self._upload(boundary.flags)
++                    # SoA owns its allocations; never also register them in _allocations.
++                    self._fine_curved = CurvedLinkSoA()
++                    self._fine_curved.assign_host(*boundary.curved_host)
++                    self._fine_curved.assign_surface(boundary.objects, fine_cfg, boundary.flags)
++                    self._fine_curved.upload()
++                    self._curved = self._levels[1].module.get_function("CurvedBoundaryKernel")
+             except BaseException:
+                 try:
+                     self.close()
+@@ -131,7 +154,7 @@
+         coarse[:, y0:y1, x0:x1] = np.nan
+         if self._wall_aware:
+             coarse[:, (0, -1), :] = np.nan
+-        fine[:, self.patch.fine_kind != ACTIVE] = np.nan
++        fine[:, ~self._fine_leaf] = np.nan
+ 
+     def initialize(self, coarse_g, fine_g):
+         """Upload an explicit G_0; invalid non-leaves are discarded."""
+@@ -146,7 +169,7 @@
+             leaf[y0:y1, x0:x1] = False
+             if self._wall_aware:
+                 leaf[[0, -1]] = False
+-            for array, mask in zip(arrays, (leaf, self.patch.fine_kind == ACTIVE)):
++            for array, mask in zip(arrays, (leaf, self._fine_leaf)):
+                 if not np.isfinite(array[:, mask]).all() or (array[:, mask].sum(axis=0) <= 0).any():
+                     raise ValueError("Leaf populations must be finite with positive density")
+             self._mask_nonleaves(*arrays)
+@@ -154,11 +177,32 @@
+                 for level, array in zip(self._levels, arrays):
+                     cuda.memcpy_htod(level.current, array)
+                     cuda.memcpy_htod(level.spare, array)
++                if self._fine_curved is not None and self._fine_curved.link_exchange_gpu is not None:
++                    cuda.memset_d8(self._fine_curved.link_exchange_gpu, 0, self._fine_curved.count * 12)
+                 self._step_count = 0
+                 self._status = "ready"
+             except BaseException:
+                 self._status = "failed"
+                 raise
++
++    def _apply_fine_boundary(self, buffer, **kw):
++        """Stage solid source slots; exchange buffer holds this fine substep only."""
++        cl = self._fine_curved
++        if cl is None:
++            if self.fine_boundary is not None:
++                raise RuntimeError("Fine boundary device buffers are missing")
++            return
++        if self._curved is None or cl.fluid_idx_gpu is None:
++            raise RuntimeError("Fine boundary device buffers are missing")
++        driven = any(obj.surface_actuation is not None for obj in self.fine_boundary.objects)
++        if driven and (cl.surface_velocity_gpu is None or cl.link_exchange_gpu is None):
++            raise RuntimeError("Surface boundary device buffers are missing")
++        self._curved(buffer, cl.fluid_idx_gpu, cl.dir_gpu, cl.q_gpu,
++                     cl.rx_gpu, cl.ry_gpu, cl.rz_gpu, cl.fallback_class_gpu, cl.body_id_gpu,
++                     np.uintp(0), np.uintp(0), np.uint32(cl.count),
++                     cl.surface_velocity_gpu if cl.surface_velocity_gpu is not None else np.uintp(0),
++                     cl.link_exchange_gpu if cl.link_exchange_gpu is not None else np.uintp(0),
++                     grid=((cl.count + self._block[0] - 1) // self._block[0], 1), **kw)
+ 
+     def step(self, n=1):
+         """Advance G→G: one explosion, two fine collisions, one coarse collision."""
+@@ -176,8 +220,13 @@
+                                   np.uint32(len(p.ghost_fine)), np.uint64(np.prod(p.coarse_shape)),
+                                   grid=((len(p.ghost_fine) + self._block[0] - 1) // self._block[0], 1),
+                                   **kw)
+-                    f.kernel(f.current, f.spare, grid=f.grid, **kw)
+-                    f.kernel(f.spare, f.current, grid=f.grid, **kw)
++                    flags = self._fine_flags if self._fine_flags is not None else np.uintp(0)
++                    if self.fine_boundary is not None and self._fine_flags is None:
++                        raise RuntimeError("Fine boundary flags are missing")
++                    self._apply_fine_boundary(f.current, **kw)
++                    f.kernel(f.current, f.spare, flags, grid=f.grid, **kw)
++                    self._apply_fine_boundary(f.spare, **kw)
++                    f.kernel(f.spare, f.current, flags, grid=f.grid, **kw)
+                     c.kernel(c.current, c.spare, f.current, self._targets, self._children,
+                              np.uint32(len(p.coalesce_coarse)),
+                              *(np.uint32(v) for v in p.bounds), np.uint32(self._wall_aware),
+@@ -220,6 +269,13 @@
+                     error = exc
+                 self._levels.clear()
+                 self._explode = None
++                if getattr(self, "_fine_curved", None) is not None:
++                    try:
++                        self._fine_curved.free()
++                    except Exception as exc:
++                        error = error or exc
++                    self._fine_curved = None
++                self._curved = self._fine_flags = None
+                 for pointer in self._allocations:
+                     try:
+                         pointer.free()
+--- a/src/CelerisLab/lbm/stepper.py
++++ b/src/CelerisLab/lbm/stepper.py
+@@ -147,13 +147,17 @@
+             )
+         else:
+             assert cl.fluid_idx_gpu is not None
++            if cl.surface_velocity is not None and (
++                    cl.surface_velocity_gpu is None or cl.link_exchange_gpu is None):
++                raise RuntimeError("Surface boundary device buffers are missing")
+             self.curved_fn(
+                 f.ddf_gpu,
+                 cl.fluid_idx_gpu, cl.dir_gpu, cl.q_gpu,
+                 cl.rx_gpu, cl.ry_gpu, cl.rz_gpu, cl.fallback_class_gpu, cl.body_id_gpu,
+                 action_gpu, obs_gpu,
+                 np.uint32(f.n_curved),
+-                cl.surface_velocity_gpu or np.uintp(0), cl.link_exchange_gpu or np.uintp(0),
++                cl.surface_velocity_gpu if cl.surface_velocity_gpu is not None else np.uintp(0),
++                cl.link_exchange_gpu if cl.link_exchange_gpu is not None else np.uintp(0),
+                 block=(tpb, 1, 1), grid=grid_c,
+                 **launch_kw,
+             )
+--- /dev/null
++++ b/tests/unit/test_fine_surface.py
+@@ -0,0 +1,215 @@
++"""CPU-only fine circle projection and transfer/boundary isolation contracts."""
++from dataclasses import asdict, replace
++
++import numpy as np
++import pytest
++
++from CelerisLab.body.geometry.circle import CircleGeometry
++from CelerisLab.body.objects import SimObject, SurfaceActuation
++from CelerisLab.config import LBMConfig
++from CelerisLab.lbm import refinement
++from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY, FLUID, SOLID
++from CelerisLab.lbm.refinement import ACTIVE, INNER_GHOST, FixedPatch2D
++
++
++def setup_patch():
++    cfg = LBMConfig(nx=24, ny=24, viscosity=.05)
++    cfg.validate()
++    return cfg, FixedPatch2D.from_config(cfg, (4, 4, 20, 20))
++
++
++def circle(center=(12.25, 12.25), radius=2.15, speed=.002):
++    return SimObject(0, geometry=CircleGeometry(*center, radius), center=center,
++                     radius=radius, surface_actuation=SurfaceActuation(.7, .85, speed))
++
++
++@pytest.mark.parametrize('speed', [.002, -.002])
++def test_fine_projection_uses_cell_center_bridge_and_preserves_source(speed):
++    cfg, patch = setup_patch()
++    source = circle(center=(12.25, 12.25 if speed > 0 else 11.75), speed=speed)
++    expected_center = (20., 20. if speed > 0 else 19.)
++    assert patch.fine_origin == (2., 2.)
++    before = (source.center, source.radius, source.geometry.center,
++              source.geometry._radius, asdict(source.state), asdict(source.surface_actuation),
++              vars(cfg).copy())
++    plan = refinement.prepare_fine_boundary(cfg, patch, [source])
++    local, = plan.objects
++    assert local is not source and local.geometry is not source.geometry
++    np.testing.assert_allclose(local.center, expected_center, rtol=0, atol=1e-14)
++    np.testing.assert_allclose(local.geometry.center, expected_center, rtol=0, atol=1e-14)
++    assert local.radius == pytest.approx(4.3)
++    assert local.geometry._radius == pytest.approx(4.3)
++    assert local.surface_actuation.normal_velocity == speed  # dt/dx is unchanged.
++    assert (source.center, source.radius, source.geometry.center,
++            source.geometry._radius, asdict(source.state), asdict(source.surface_actuation),
++            vars(cfg).copy()) == before
++    _, _, _, _, rx, ry, _, _ = plan.curved_host
++    np.testing.assert_allclose(np.hypot(rx, ry), 4.3, rtol=0, atol=6e-7)
++    # These world points lie on the ORIGINAL physical circle, including the +.5.
++    world_x = patch.fine_origin[0]+.5*(local.center[0]+rx.astype(float)+.5)
++    world_y = patch.fine_origin[1]+.5*(local.center[1]+ry.astype(float)+.5)
++    np.testing.assert_allclose(np.hypot(world_x-source.center[0], world_y-source.center[1]),
++                               source.radius, rtol=0, atol=3e-7)
++
++
++def test_fine_boundary_receivers_sources_and_reverse_coverage():
++    cfg, patch = setup_patch()
++    plan = refinement.prepare_fine_boundary(cfg, patch, [circle()])
++    ny, nx = patch.fine_shape
++    flags = plan.flags
++    assert flags.shape == (nx*ny,) and flags.dtype == np.uint16
++    solid = (flags & SOLID) != 0
++    assert solid.any()
++    assert np.all(patch.fine_kind.ravel()[solid] == ACTIVE)
++    receivers, directions, q, _, _, _, _, fallback = plan.curved_host
++    cx, cy = np.asarray(D2Q9_EX), np.asarray(D2Q9_EY)
++    sources = receivers.astype(np.int64)+cx[directions]+nx*cy[directions]
++    assert np.all((flags[receivers] & FLUID) != 0)
++    assert not np.any(flags[receivers] & SOLID)
++    assert np.all(solid[sources])
++    assert np.all(patch.fine_kind.ravel()[receivers] == ACTIVE)
++    assert np.all(patch.fine_kind.ravel()[sources] == ACTIVE)
++    # A source population slot has a unique writer, not just a unique cell.
++    assert len(set(zip(sources.tolist(), directions.tolist()))) == len(receivers)
++    expected = set()
++    for cell in np.flatnonzero((patch.fine_kind.ravel() == ACTIVE) & ~solid):
++        y, x = divmod(int(cell), nx)
++        for direction in range(1, 9):
++            sx, sy = x+int(cx[direction]), y+int(cy[direction])
++            if 0 <= sx < nx and 0 <= sy < ny and solid[sy*nx+sx]:
++                expected.add((int(cell), direction))
++    assert set(zip(receivers.tolist(), directions.tolist())) == expected
++    donors = receivers[q < .5].astype(np.int64)-cx[directions[q < .5]]-nx*cy[directions[q < .5]]
++    assert np.all(patch.fine_kind.ravel()[donors] == ACTIVE)
++    assert not np.any(solid[donors])
++    assert not fallback.any()
++    stencil = set(receivers.tolist()) | set(sources.tolist()) | set(donors.tolist())
++    assert stencil == set(plan.boundary_cells.tolist())
++    assert not set(plan.boundary_cells.tolist()) & set(plan.transfer_fine_cells.tolist())
++    assert not set(np.flatnonzero(solid).tolist()) & set(plan.transfer_fine_cells.tolist())
++
++
++def test_transfer_dependencies_follow_two_pulls_and_expand_active_collision():
++    cfg, patch = setup_patch()
++    plan = refinement.prepare_fine_boundary(cfg, patch, [circle()])
++    ny, nx = patch.fine_shape
++    cells = nx*ny
++    # Closed form for exactly two hops, independent of the production traversal:
++    # the final inner ghost only pulls; its predecessor may have collided.
++    offsets = np.asarray(D2Q9_EX)+nx*np.asarray(D2Q9_EY)
++    visited = set()
++    for slot in patch.coalesce_fine.ravel():
++        direction, target = divmod(int(slot), cells)
++        assert patch.fine_kind.ravel()[target] == INNER_GHOST
++        middle = target-int(offsets[direction])
++        visited.update(((2, direction, target), (1, direction, middle)))
++        if patch.fine_kind.ravel()[middle] == ACTIVE:
++            visited.update((0, q, middle-int(offsets[q])) for q in range(9))
++        else:
++            assert patch.fine_kind.ravel()[middle] == INNER_GHOST
++            visited.add((0, direction, middle-int(offsets[direction])))
++    actual = {tuple(map(int, row)) for row in plan.transfer_reads}
++    assert actual == visited
++    assert len(plan.transfer_reads) == len(visited)
++    expected_fine = set(patch.ghost_fine.tolist()) | {cell for _, _, cell in visited}
++    expected_coarse = set(patch.ghost_coarse.tolist()) | set(
++        (patch.coalesce_coarse % (cfg.nx*cfg.ny)).tolist())
++    assert set(plan.transfer_fine_cells.tolist()) == expected_fine
++    assert set(plan.transfer_coarse_cells.tolist()) == expected_coarse
++    for coarse_slot, children in zip(patch.coalesce_coarse, patch.coalesce_fine):
++        coarse_q, coarse_cell = divmod(int(coarse_slot), cfg.nx*cfg.ny)
++        coarse_y, coarse_x = divmod(coarse_cell, cfg.nx)
++        fine_q, fine_cell = np.divmod(children, cells)
++        np.testing.assert_array_equal(fine_q, coarse_q)
++        fine_y, fine_x = np.divmod(fine_cell, nx)
++        physical_centers = np.column_stack((
++            patch.fine_origin[0]+.5*(fine_x+.5),
++            patch.fine_origin[1]+.5*(fine_y+.5)))
++        np.testing.assert_array_equal(physical_centers.mean(axis=0),
++                                      (coarse_x+.5, coarse_y+.5))
++    # This case must exercise the collision fan-in, not only ghost straight lines.
++    active_middle = [(q, cell) for stage, q, cell in visited
++                     if stage == 1 and patch.fine_kind.ravel()[cell] == ACTIVE]
++    assert active_middle
++    _, sample = active_middle[0]
++    for incoming in range(9):
++        source = sample-int(D2Q9_EX[incoming])-nx*int(D2Q9_EY[incoming])
++        assert (0, incoming, source) in actual
++
++
++def test_fine_plan_arrays_are_readonly_and_contiguous():
++    cfg, patch = setup_patch()
++    plan = refinement.prepare_fine_boundary(cfg, patch, [circle()])
++    assert len(plan.curved_host) == 8
++    for array in (plan.flags, *plan.curved_host, plan.boundary_cells,
++                  plan.transfer_fine_cells, plan.transfer_coarse_cells, plan.transfer_reads):
++        assert array.flags.c_contiguous and not array.flags.writeable
++        assert array.size
++        with pytest.raises(ValueError):
++            array.flat[0] = array.flat[0]
++
++
++def test_empty_objects_keep_existing_refinement_path():
++    cfg, patch = setup_patch()
++    assert refinement.prepare_fine_boundary(cfg, patch, []) is None
++
++
++def test_fine_rejects_cross_level_low_q_donor_without_fallback():
++    cfg, patch = setup_patch()
++    source = circle(center=(5.05, 12.25), radius=.7)
++    # In fine coordinates C=(5.6,20), R=1.4. Receiver (4,20), dir +x
++    # has q=.2, but its required reverse donor (3,20) is not active.
++    local = CircleGeometry(5.6, 20., 1.4)
++    links = local.build_cut_links(patch.fine_shape[1], patch.fine_shape[0])
++    target, = [link for link in links if link.fluid_idx == 20*40+4 and link.dir == 1]
++    assert target.q == pytest.approx(.2)
++    assert patch.fine_kind[20, 3] != ACTIVE
++    with pytest.raises(ValueError):
++        refinement.prepare_fine_boundary(cfg, patch, [source])
++
++
++def test_fine_rejects_active_stencil_that_still_touches_transfer():
++    cfg, patch = setup_patch()
++    source = circle(center=(6.05, 12.25), radius=.7)
++    # Move the cross-level example two fine cells inward: all boundary reads
++    # are now active, but the q=.2 reverse donor is still a transfer dependency.
++    local = CircleGeometry(7.6, 20., 1.4)
++    nx = patch.fine_shape[1]
++    solid = (local.build_flag_mask(nx, patch.fine_shape[0]) & SOLID) != 0
++    assert np.all(patch.fine_kind.ravel()[solid] == ACTIVE)
++    links = local.build_cut_links(nx, patch.fine_shape[0])
++    stencil = set()
++    for link in links:
++        offset = int(D2Q9_EX[link.dir])+nx*int(D2Q9_EY[link.dir])
++        stencil.update((link.fluid_idx, link.fluid_idx+offset))
++        if link.q < .5:
++            stencil.add(link.fluid_idx-offset)
++    assert np.all(patch.fine_kind.ravel()[list(stencil)] == ACTIVE)
++    with pytest.raises(ValueError, match='transfer footprint'):
++        refinement.prepare_fine_boundary(cfg, patch, [source])
++
++
++@pytest.mark.parametrize('change', [dict(nx=25), dict(collision='TRT'), dict(viscosity=.06)])
++def test_fine_rejects_mismatched_patch_configuration(change):
++    cfg, patch = setup_patch()
++    with pytest.raises(ValueError, match='matching'):
++        refinement.prepare_fine_boundary(replace(cfg, **change), patch, [circle()])
++
++
++def test_fine_rejects_nonzero_control_even_without_motion():
++    cfg, patch = setup_patch()
++    obj = circle()
++    obj.control.ax = .001
++    with pytest.raises(ValueError, match='stationary'):
++        refinement.prepare_fine_boundary(cfg, patch, [obj])
++
++
++@pytest.mark.parametrize('objects', [
++    [circle(center=(4.25, 12.25), radius=1.)],
++    [circle(center=(12.5, 12.5), radius=.05)],
++    [circle(), circle(center=(13., 12.25))],
++])
++def test_fine_rejects_ghost_solids_unresolved_circle_and_overlap(objects):
++    cfg, patch = setup_patch()
++    with pytest.raises(ValueError):
++        refinement.prepare_fine_boundary(cfg, patch, objects)
+--- /dev/null
++++ b/tests/validation/multigrid/test_fine_surface_gpu.py
+@@ -0,0 +1,330 @@
++"""Two coarse/four fine steps: isolated fine circle, no flux-accuracy claim.
++
++Run only through the bounded GPU runner after a fresh resource check. The test
++hooks read actual kernel inputs/outputs; they never change the stepping order.
++"""
++import importlib.util
++from contextlib import nullcontext
++from pathlib import Path
++from threading import RLock
++from types import SimpleNamespace
++from unittest.mock import Mock, patch
++
++import numpy as np
++import pycuda.driver as cuda
++import pytest
++
++import CelerisLab
++from CelerisLab.body.geometry.circle import CircleGeometry
++from CelerisLab.body.objects import SimObject
++from CelerisLab.config import LBMConfig
++from CelerisLab.cuda import compiler_v2 as compiler
++from CelerisLab.cuda.context import CudaContext
++from CelerisLab.lbm import refinement_stepper as implementation
++from CelerisLab.lbm.descriptors import FLUID, SOLID
++
++
++ROOT = Path(__file__).resolve().parents[3]
++CX = np.array([0, 1, -1, 0, 0, 1, -1, 1, -1])
++CY = np.array([0, 0, 0, 1, -1, 1, -1, -1, 1])
++OPP = np.array([0, 2, 1, 4, 3, 6, 5, 8, 7])
++W = np.array([4/9]+[1/9]*4+[1/36]*4)
++MOMENTS = np.stack((np.ones(9), CX, CY))
++GEOMETRY = ("fluid_idx", "dir", "q", "body_id", "rx", "ry", "rz", "fallback_class")
++BOUNDS = (4, 4, 20, 20)
++
++
++def read(pointer, shape, dtype=np.float32):
++    values = np.empty(shape, dtype)
++    cuda.memcpy_dtoh(values, pointer)
++    return values
++
++
++def rest(shape):
++    return np.broadcast_to(W[:, None, None], (9, *shape)).astype(np.float32).copy()
++
++
++def surface(speed):
++    return None if speed is None else dict(angle=.7, half_width=.85, normal_velocity=speed)
++
++
++def object_spec(speed):
++    return SimObject(0, CircleGeometry(12.25, 12.25, 2.15), center=(12.25, 12.25),
++                     radius=2.15, surface_actuation=surface(speed))
++
++
++def audit_compiler(original):
++    def compile_private(*args, **kwargs):
++        entry = Path(kwargs["build_dir"])/"fine_surface_audit.cu"
++        entry.write_text('#define CELERIS_REFINEMENT_AUDIT\n#include "refinement.cu"\n')
++        kwargs["source"] = entry.name
++        return original(*args, **kwargs)
++    return compile_private
++
++
++def reflection_oracle(before, cl, speed, *, verify_projection=True):
++    """FP64 BFL from frozen spatial populations, independent arc projection."""
++    flat = before.astype(float).reshape(9, -1)
++    radius = np.hypot(cl.rx.astype(float), cl.ry.astype(float))
++    delta = (np.arctan2(cl.ry.astype(float), cl.rx.astype(float))-.7+np.pi) % (2*np.pi)-np.pi
++    amplitude = 0 if speed is None else speed
++    strength = amplitude*np.maximum(0, 1-(delta/.85)**2)**2
++    velocity = strength[:, None]*np.column_stack((cl.rx, cl.ry))/radius[:, None]
++    if verify_projection and cl.surface_velocity is not None:
++        np.testing.assert_allclose(cl.surface_velocity, velocity, atol=3e-9, rtol=0)
++    incoming = []
++    for i, (k, d, q, fallback) in enumerate(zip(cl.fluid_idx, cl.dir, cl.q, cl.fallback_class)):
++        k, d, q = int(k), int(d), float(q)
++        rho = flat[:, k].sum()
++        dot = CX[d]*velocity[i, 0]+CY[d]*velocity[i, 1]
++        if fallback:
++            value = flat[d, k]-6*W[d]*rho*dot
++        elif q < .5:
++            value = 2*q*flat[d, k]+(1-2*q)*flat[d, k-CX[d]-40*CY[d]]-6*W[d]*rho*dot
++        else:
++            value = flat[d, k]/(2*q)+(1-1/(2*q))*flat[OPP[d], k]-3*W[d]*rho*dot/q
++        incoming.append(value)
++    return np.array(incoming)
++
++
++def fine_flux(before, staged, active, solid):
++    """Population ledger across the fine leaf boundary: solid versus halo.
++
++    Internal fluid-to-fluid streaming cancels pairwise; solid and halo packets
++    are counted in their actual direction, before any collision.
++    """
++    boundary, transfer = np.zeros(9), np.zeros(9)
++    magnitude = 0.0
++    for d, (cx, cy) in enumerate(zip(CX, CY)):
++        incoming = active & ~np.roll(active, (cy, cx), (0, 1))
++        outgoing = active & ~np.roll(active, (-cy, -cx), (0, 1))
++        from_solid = np.roll(solid, (cy, cx), (0, 1))
++        into_solid = np.roll(solid, (-cy, -cx), (0, 1))
++        received = np.roll(staged[d], (cy, cx), (0, 1)).astype(float)
++        sent = before[d].astype(float)
++        for vector, inc, out in ((boundary, incoming & from_solid, outgoing & into_solid),
++                                 (transfer, incoming & ~from_solid, outgoing & ~into_solid)):
++            assert np.isfinite(received[inc]).all() and np.isfinite(sent[out]).all()
++            vector[d] = received[inc].sum()-sent[out].sum()
++            magnitude += np.abs(received[inc]).sum()+np.abs(sent[out]).sum()
++    return boundary, transfer, magnitude
++
++
++def coarse_flux(before, fine, active):
++    """Derive every replacement from physical midpoints, not production tables."""
++    x0, y0, x1, y1 = BOUNDS
++    incoming = np.stack([np.roll(before[d], (CY[d], CX[d]), (0, 1)) for d in range(9)]).astype(float)
++    magnitude = 0.0
++    for y, x in np.argwhere(active):
++        for d in range(1, 9):
++            if x0 <= x+.5-CX[d]/2 <= x1 and y0 <= y+.5-CY[d]/2 <= y1:
++                a, b = 4+2*(x-x0), 4+2*(y-y0)
++                children = fine[d, b:b+2, a:a+2].astype(float)
++                assert children.shape == (2, 2) and np.isfinite(children).all()
++                incoming[d, y, x] = children.sum()/4
++                magnitude += np.abs(children).sum()/4
++    assert np.isfinite(incoming[:, active]).all()
++    # This retains the eight grazing-corner replacements of uncovered donors.
++    flux = (incoming[:, active]-before[:, active].astype(float)).sum(axis=1)
++    magnitude += np.abs(incoming[:, active]).sum()+np.abs(before[:, active]).sum(dtype=float)
++    return flux, magnitude
++
++
++def run_patch(speed, *, audit=True):
++    cfg = LBMConfig(nx=24, ny=24, viscosity=.05, velocity=0, rho=1)
++    coarse_active = np.ones((24, 24), bool)
++    coarse_active[4:20, 4:20] = False
++    source = object_spec(speed)
++    state = vars(source.state).copy()
++    with CudaContext(0) as context:
++        build = (patch.object(compiler, "compile_kernel", audit_compiler(compiler.compile_kernel))
++                 if audit else nullcontext())
++        with build:
++            backend = implementation.FixedPatchStepper(cfg, BOUNDS, context=context, fine_objects=[source])
++        with backend, context.activate():
++            c, f = backend._levels
++            cl = backend._fine_curved
++            geometry = {name: getattr(cl, name).copy() for name in GEOMETRY}
++            flags = backend.fine_boundary.flags.reshape(40, 40)
++            solid = (flags & SOLID) != 0
++            active = np.zeros((40, 40), bool)
++            active[4:-4, 4:-4] = True
++            active &= (flags & FLUID) != 0
++            active &= ~solid
++            local = backend.fine_boundary.objects[0]
++            assert local.center == (20., 20.) and local.radius == 4.3
++            assert source.center == (12.25, 12.25) and source.radius == 2.15
++            yy, xx = np.mgrid[:40, :40]
++            roi = active & ((xx-20)**2+(yy-20)**2 <= 9**2)
++            backend.initialize(rest((24, 24)), rest((40, 40)))
++            if audit:
++                for level in backend._levels:
++                    for name in ("collision_counts", "explosion_counts", "incoming_counts"):
++                        pointer, size = level.module.get_global(name)
++                        cuda.memset_d8(pointer, 0, size)
++            initial = backend.download()
++            initial_pop = initial[0][:, coarse_active].sum(axis=1, dtype=float)
++            initial_pop += .25*initial[1][:, active].sum(axis=1, dtype=float)
++            boundary, fine_transfer, coarse_transfer = np.zeros(9), np.zeros(9), np.zeros(9)
++            budget_sum, reflection_error, drive_mass = 0., 0., 0.
++            traces = []
++            original_curved, original_fine, original_coarse = backend._curved, f.kernel, c.kernel
++
++            def curved(*args, **kwargs):
++                nonlocal boundary, fine_transfer, budget_sum, reflection_error, drive_mass
++                backend._stream.synchronize()
++                before = read(args[0], f.shape)
++                expected = reflection_oracle(before, cl, speed)
++                original_curved(*args, **kwargs)
++                backend._stream.synchronize()
++                staged = read(args[0], f.shape)
++                d, k = cl.dir.astype(int), cl.fluid_idx.astype(int)
++                values = staged.reshape(9, -1)[OPP[d], k+CX[d]+40*CY[d]]
++                passive = reflection_oracle(before, cl, None, verify_projection=False)
++                drive_mass += .25*float(np.sum(values-passive))
++                error = float(np.max(np.abs(values-expected)))
++                reflection_error = max(reflection_error, error)
++                assert error <= 1e-7
++                np.testing.assert_array_equal(staged[:, active], before[:, active])
++                b, transfer, magnitude = fine_flux(before, staged, active, solid)
++                boundary += .25*b
++                fine_transfer += .25*transfer
++                budget_sum += .25*magnitude
++
++            def fine(*args, **kwargs):
++                nonlocal budget_sum
++                backend._stream.synchronize()
++                staged = read(args[0], f.shape)
++                original_fine(*args, **kwargs)
++                backend._stream.synchronize()
++                advanced = read(args[1], f.shape)
++                assert np.isfinite(advanced[:, active]).all()
++                assert np.isnan(advanced[:, solid]).all()
++                # Include actual collision operands in the FP32 rounding budget.
++                budget_sum += .25*np.abs(staged[:, active]).sum(dtype=float)
++                traces.append(advanced[:, roi].copy())
++
++            def coarse(*args, **kwargs):
++                nonlocal coarse_transfer, budget_sum
++                backend._stream.synchronize()
++                before, fine_values = read(args[0], c.shape), read(args[2], f.shape)
++                transfer, magnitude = coarse_flux(before, fine_values, coarse_active)
++                coarse_transfer += transfer
++                budget_sum += magnitude
++                return original_coarse(*args, **kwargs)
++
++            with patch.object(backend, "_curved", curved), patch.object(f, "kernel", fine), \
++                    patch.object(c, "kernel", coarse):
++                backend.step(2)
++            actual = backend.download()
++            population = actual[0][:, coarse_active].sum(axis=1, dtype=float)
++            population += .25*actual[1][:, active].sum(axis=1, dtype=float)
++            ledger = boundary+fine_transfer+coarse_transfer
++            error = MOMENTS@(population-initial_pop-ledger)
++            budget = 8*np.finfo(np.float32).eps*budget_sum
++            assert np.isfinite(budget_sum) and budget_sum > 0
++            assert np.max(np.abs(error)) <= budget
++            if speed:
++                assert speed*drive_mass > 0
++            assert len(traces) == 4 and backend.step_count == 2
++            if audit:
++                for level, mask, count in ((c, coarse_active, 2), (f, active, 4)):
++                    pointer, size = level.module.get_global("collision_counts")
++                    counts = read(pointer, mask.shape, np.uint32)
++                    assert size == counts.nbytes
++                    np.testing.assert_array_equal(counts, count*mask)
++            for name, values in geometry.items():
++                np.testing.assert_array_equal(getattr(cl, name), values)
++            assert vars(source.state) == state and source.geometry.center == source.center
++            print(f"speed={speed} audit={audit} BFL={reflection_error:.9g} ledger={error.tolist()} "
++                  f"budget={budget:.9g} boundary={list(MOMENTS@boundary)} "
++                  f"transfer={list(MOMENTS@(fine_transfer+coarse_transfer))} "
++                  f"drive_mass={drive_mass:+.9g}; counts={'PASS' if audit else 'normal build'}", flush=True)
++            return traces, roi, actual
++
++
++def uniform_reference(speed, roi):
++    # Reuse the existing explicit config helper without importing unrelated tests.
++    spec = importlib.util.spec_from_file_location("fine_surface_cases", ROOT/"tests/integration/_cases.py")
++    cases = importlib.util.module_from_spec(spec)
++    spec.loader.exec_module(cases)
++    with cases.make_sim(nx=48, ny=48, viscosity=.1, velocity=0, rho=1) as sim:
++        sim.add_body("circle", center=(24, 24), radius=4.3, surface_actuation=surface(speed))
++        sim.initialize()
++        # Uniform 48^2 has the same dx=dt=.5 representation. Its distant channel
++        # boundaries cannot influence the circle ROI within these four hops.
++        traces = []
++        for _ in range(4):
++            sim.run(1)
++            traces.append(sim.get_ddf().reshape(9, 48, 48)[:, 4:44, 4:44][:, roi].copy())
++        return traces
++
++
++@pytest.mark.parametrize("speed", [0., .002, -.002])
++def test_fine_surface_four_hops(speed):
++    assert Path(CelerisLab.__file__).resolve() == ROOT/"src/CelerisLab/__init__.py"
++    assert Path(compiler._KERNEL_DIR).resolve() == ROOT/"src/CelerisLab/lbm/kernels"
++    assert Path(implementation.__file__).resolve() == ROOT/"src/CelerisLab/lbm/refinement_stepper.py"
++    actual, roi, final = run_patch(speed)
++    reference = uniform_reference(speed, roi)
++    for got, wanted in zip(actual, reference):
++        np.testing.assert_allclose(got, wanted, atol=3e-6, rtol=0)
++        np.testing.assert_allclose(MOMENTS@got.astype(float), MOMENTS@wanted.astype(float),
++                                   atol=2e-5, rtol=0)
++    if speed == 0:
++        passive, passive_roi, passive_final = run_patch(None, audit=False)
++        np.testing.assert_array_equal(passive_roi, roi)
++        for got, wanted in zip(actual+list(final), passive+list(passive_final)):
++            np.testing.assert_array_equal(got, wanted)
++
++
++@pytest.mark.parametrize("missing", ["surface_velocity_gpu", "link_exchange_gpu"])
++def test_missing_surface_device_buffer_rejects_before_launch(missing):
++    backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
++    backend.fine_boundary = SimpleNamespace(objects=[object_spec(.002)])
++    backend._fine_curved = SimpleNamespace(fluid_idx_gpu=object(),
++                                          surface_velocity_gpu=object(), link_exchange_gpu=object())
++    setattr(backend._fine_curved, missing, None)
++    backend._curved = Mock()
++    with pytest.raises(RuntimeError, match="Surface boundary device buffers are missing"):
++        backend._apply_fine_boundary(object())
++    backend._curved.assert_not_called()
++
++
++def test_close_frees_fine_boundary_after_stream_failure_once():
++    backend = implementation.FixedPatchStepper.__new__(implementation.FixedPatchStepper)
++    backend.ctx = SimpleNamespace(activate=nullcontext)
++    backend._lock = RLock()
++    backend._status = "ready"
++    stream, soa, first, second = Mock(), Mock(), Mock(), Mock()
++    stream.synchronize.side_effect = RuntimeError("stream synchronization failed")
++    backend._stream = stream
++    backend._fine_curved = soa
++    backend._fine_flags = first
++    backend._curved = Mock()
++    backend._levels = [object(), object()]
++    backend._allocations = [first, second]
++    with pytest.raises(RuntimeError, match="stream synchronization failed"):
++        backend.close()
++    assert backend._status == "closed"
++    assert backend._levels == [] and backend._allocations == []
++    assert backend._fine_curved is None and backend._fine_flags is None
++    assert backend._curved is None and backend._stream is None
++    backend.close()
++    stream.synchronize.assert_called_once_with()
++    soa.free.assert_called_once_with()
++    first.free.assert_called_once_with()
++    second.free.assert_called_once_with()
++
++
++def test_cross_interface_donor_rejects_before_cuda():
++    cfg = LBMConfig(nx=24, ny=24, viscosity=.05)
++    source = SimObject(0, CircleGeometry(5.05, 12.25, .7),
++                       center=(5.05, 12.25), radius=.7, surface_actuation=surface(.002))
++    context = Mock()
++    context.activate.side_effect = AssertionError("must reject before CUDA activation")
++    with patch.object(cuda, "mem_alloc") as allocate:
++        with pytest.raises(ValueError, match="donor crosses"):
++            implementation.FixedPatchStepper(cfg, BOUNDS, context=context, fine_objects=[source])
++        context.activate.assert_not_called()
++        allocate.assert_not_called()
diff --git a/research/fine_surface_20261014/manifest.json b/research/fine_surface_20261014/manifest.json
new file mode 100644
index 0000000..8281338
--- /dev/null
+++ b/research/fine_surface_20261014/manifest.json
@@ -0,0 +1,102 @@
+{
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "changes": [
+    {
+      "path": "src/CelerisLab/lbm/kernels/refinement.cu",
+      "added": 10,
+      "removed": 2,
+      "sha256": "129f3d91da93b4324f88a0da73a4da1e5390f72c14cce574ee63306712da9895",
+      "characters": 4482
+    },
+    {
+      "path": "src/CelerisLab/lbm/kernels/step/aux_kernels.cu",
+      "added": 1,
+      "removed": 55,
+      "sha256": "578a5b20a157241ee678547059abb1372dd5a589ad06bb2c15b987eb01ca1013",
+      "characters": 10982
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+  "diff_reverse_check": "passed",
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+    "cpu_lifecycle_stdout.txt": "af52542989b4a2bf597e020c12064e7083e136f15b938ed5382b616a16f70e38",
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+    "cpu_final_run.json": "020a9ef12904c2d18185613d68a58dd7ff9b1b22197ac1f95bba61f2f593eaac"
+  }
+}
diff --git a/research/fine_surface_20261014/report.txt b/research/fine_surface_20261014/report.txt
new file mode 100644
index 0000000..6b9e512
--- /dev/null
+++ b/research/fine_surface_20261014/report.txt
@@ -0,0 +1,115 @@
+2026-10-14 — 固定加密区内静止圆表面吹吸：受限整合交付
+
+状态：当前代码与验证完成，停在独立审查点。A 的单层静止圆功能保持；本次只
+把完整边界 stencil 位于 fine active 的圆接入 FixedPatchStepper。未增加
+checkpoint、forcing、运动刚体、喷嘴内部、墙穿接口、blockforest 或临时 ledger。
+所有 B 反例与既有证据保留。
+
+入口与单位
+FixedPatchStepper(cfg, bounds, context=context, fine_objects=[obj])。
+obj 是现有 SimObject/CircleGeometry；中心/半径用 coarse 物理坐标，速度沿用
+coarse lattice 单位（当前 dx=dt=1）。构造独立 fine-local 副本，不修改调用方对象。
+C_local=(C_phys-origin)/dx-.5，R_local=R_phys/dx，U_local=U_phys*dt/dx。
+真实 hit 反变换为 origin+dx*(hit_local+.5)，lever arm 乘 dx，角度/q 不变。
+维持 D2Q9/SRT/FP32/unshifted/double_buffer、无 LES/forcing 的原 backend 范围。
+
+生产改动：5 个现有文件 + 1 个共享文件，+300/−71，净 +229 行。
+- refinement.py：FineBoundary2D、prepare_fine_boundary；纯 CPU 建图和拒绝检查。
+- refinement_stepper.py：固定 fine 对象、flags/SoA 管理、两个 BFL 子步、solid
+  叶掩码、初始化与释放；不接完整 Simulation/ObjectManager。
+- aux_kernels.cu → step/curved_double.cu：原 action_omega/CurvedBoundaryKernel
+  代码块逐字相同，只抽取共享位置并增加 include guard，已比对确认。
+- refinement.cu：包含共享 BFL，PatchFineStep 接 flags；solid 不 pull/collide，
+  输出 NaN；所有 Python launch 传完整参数。
+- 原 lbm/stepper.py：allocation 显式 is not None；驱动缓冲缺失报错。
+
+数据/所有权
+explosion → BFL(current) → fine pull+collision → BFL(spare) → fine pull+collision
+→ coarse pull/coalescence+collision。active fluid 每 coarse 步碰撞两次；solid
+与 ghost 不碰撞。BFL 只填当前输入的 solid source 反射槽，下一子步重新填充。
+下载仅发布流体叶节点，coarse covered、fine solid/ghost 均 NaN。
+flags/level/transfer arrays 归 stepper._allocations；SoA 的列及速度/交换缓冲只
+归 SoA，未重复登记。initialize 清空最新交换缓存。无对象不创建这些新缓冲。
+内部交换缓冲仅代表最后一个 fine 子步，未新增公共 coarse 累计诊断。
+测试账本分别读取四个 fine 子步的实际 population，按面积 1/4 求和；不是用
+latest 值冒称区间总量，也不是喷嘴总推力。
+
+有限依赖规则
+plan.transfer_reads 保存 (hop, direction, cell)，从实际 coalesce_fine 的 hop 2
+源槽反向两次 pull；遇 active collision 展开全部 9 个输入，hop 0 停止。
+transfer_fine_cells 加入全部 ghost_fine/explosion 写集；coarse 集合包含实际
+ghost_coarse donors 与 coalesce_coarse targets。ghost 可以合法参与运输；
+outer ghost 的各阶段有效性仍按原 kernel 判断。
+逐条检查 r active fluid、s=r+c active solid、反射写槽唯一、q<.5 的 r−c
+仍在 active；不可用 fallback 掩盖跨层 donor。同层真实 solid 阻挡的原 fallback
+语义不改。逆查所有 active-fluid→solid 邻接，确保与 cut links 完全一致。
+整个 solid 集合及 r/s/donor stencil 均不得碰到上述 transfer footprint。
+coarse donors/targets 必须 uncovered bulk；slot 模式另外拒绝其真实壁面
+reconstruction pull stencil。无对象旧 slot 模式保持原规则。
+
+CPU 结果（原始 command/stdout/exit 见同目录）
+- 新建图/单位/边界覆盖/拒绝检查：15 passed，最终代码复测 15 passed，exit 0。
+  同行补充的非对角圆心、origin=(2,2)、四子格平均等于 coarse I+.5 也通过。
+- 旧 maps：9 passed、23 subtests；共享 actual CUDA-header CPU 回归：1 passed。
+- 旧生命周期/边界模式：5 passed、5 subtests。
+- 新缺失驱动缓冲拒绝：2 passed，exit 0；同步失败后释放且不重复释放：通过。
+- 指定 donor 反例通过构造器检查，context.activate/mem_alloc 均未调用：1 passed。
+
+真实 GPU 结果与首次批次失败说明
+使用现有 pycuda_3_10、显式 PYTHONPATH=/home/frank14f/CelerisLab/src；stdout
+首先打印并断言实际包来源。设备 0 UUID GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c，
+开始时占用 5 MiB、util=0、无计算进程；未用其他设备。
+运行批次真实 exit=1：5 项 GPU 检查和 1 项 CPU cleanup 检查通过，另 2 项 CPU
+缺失缓冲夹具失败，因为夹具未提供新增前置检查所需的 fluid_idx_gpu 字段。
+仅补齐夹具后，定向 CPU 重测这 2 项 exit=0；原日志/exit=1 保留，未重跑 GPU。
+
+5 项 GPU 检查：
+1–3. speed=0,+.002,−.002 的批准小案例，各 2 coarse/4 fine 步。
+  coarse24²，patch[4,20)²，fine40²，origin(2,2)，dx=dt=.5；物理圆心
+  (12.25,12.25)、R2.15 → local(20,20)、R4.3；angle.7/half_width.85；
+  nu_phys=.05，tau_c=.65/tau_f=.8，rho1/u0/G=feq。
+  三个驱动使用私有 audit build 验证 fine fluid 碰撞4次、coarse fluid2次，
+  solid/ghost0次。零驱动另与正常 production build 的 same-solid/no-actuation
+  路径逐元素相等。参考采用正常 A build 的48²、dx=dt=.5、circle local(24,24)，
+  对齐真实物理位置与时间（4 fine步=物理时间2），不是跨分辨率逐元素比较。
+4. 旧无对象 periodic 非居中矩形 normal build：1 coarse步，最大人口误差
+  1.14050047e−7，通过。
+5. 旧无对象 slot/reservoir normal build：8 coarse步，最大人口误差
+  1.78241457e−7、最大BC误差2.21654773e−7，通过。
+
+主要数值：
+  speed       max |BFL误差|   max |累计质量/动量账本残差|    预定FP32预算
+   0          7.4505806e−9          1.6049482e−5             0.00221051117
+  +.002       9.7307344e−9          1.5977304e−5             0.00221052543
+  −.002       7.4505806e−9          1.6636681e−5             0.00221049693
+BFL阈值1e−7；同细分辨率、未触接口的圆周ROI人口atol3e−6、局部矩2e−5均通过。
+账本预算为8*eps32*实际参与加权population绝对值总和，未放宽。喷吸附加质量
+分别约+0.00620033871/−0.00618575338，符号正确。该短例净transfer项为0；
+仍逐项统计真实非零出入人口，但喷吸扰动尚未触达接口。
+
+拒绝证据
+- physical C=(5.05,12.25),R=.7 → fine C=(5.6,20),R=1.4：r=(4,20),c=(1,0),
+  hit=(4.2,20),q≈.2，donor=(3,20)为ghost，构造在任何CUDA调用前拒绝。
+- physical C=(6.05,12.25),R=.7：全部直接r/s/donor都active，仍因与真实
+  两hop transfer footprint相交而拒绝。说明通过边界检查不能仅靠包围盒或边距。
+
+资源与记录
+GPU批次外部耗时25.395s；进程组RSS峰值386883584 bytes，RAM最小空闲
+63638339584 bytes，VRAM最小空闲15826 MiB，相关临时空间采样峰值3585985 bytes。
+按实际余量保护，无固定RSS/AS上限；120s与2GB本次临时量约束未触发。监测是
+采样方式，不是OS硬资源隔离。编译临时目录已清理；不会清理其他任务或旧证据。
+baseline.json保存382个src/tests/examples文件哈希；其中377个保持不变。
+manifest.json和incremental.diff只描述本轮；共享kernel抽取相等与反向patch检查通过。
+GPU执行后仅将建图时的孔口预检输入改成与实际八列完全一致的FP32 lever arm，
+避免极窄孔口在分配前后得到不同覆盖判断；最终CPU15项复测通过。GPU算子、上传
+数组生成方式、步序和测试数值部分未变。gpu_test_run1.py/gpu_preparation_run1.py
+是按GPU运行中已记录的SHA256逐项核对后的执行版快照，保留首次运行的精确来源。
+
+参考与边界
+直接复用A已接受BFL。ref/OpenLB/src/boundary/defineU2D.hh:74–79用于真实hit
+速度投影对照，offBoundaryPostProcessors2D.hh:115–127用于两分支stencil对照；
+OpenLB commit fb62326f260bf0c5ec2666fc5e055c0813ff50a9，仅算法对照、未复制代码。
+现有CPUREF-0.3与实际refinement kernel的ghost不碰撞、两hop/每层tau、incoming
+替换后coarse碰撞保持不变，未移植任何B候选。
+不声称喷流穿粗细接口精度、长时稳定性、空间收敛或性能已验证。设备free()自身
+抛错时沿用既有close限制，不保证完整释放或重试；上下文激活失败可保留资源重试。
diff --git a/research/fine_surface_joint_20261014/baseline_00.json b/research/fine_surface_joint_20261014/baseline_00.json
new file mode 100644
index 0000000..4ae101e
--- /dev/null
+++ b/research/fine_surface_joint_20261014/baseline_00.json
@@ -0,0 +1,182 @@
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+  "src/CelerisLab.egg-info/dependency_links.txt": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",
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diff --git a/research/fine_surface_joint_20261014/baseline_01.json b/research/fine_surface_joint_20261014/baseline_01.json
new file mode 100644
index 0000000..548cf7b
--- /dev/null
+++ b/research/fine_surface_joint_20261014/baseline_01.json
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new file mode 100644
index 0000000..e0421e7
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new file mode 100644
index 0000000..e13363b
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diff --git a/research/fine_surface_joint_20261014/blow_collisions.csv b/research/fine_surface_joint_20261014/blow_collisions.csv
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diff --git a/research/fine_surface_joint_20261014/blow_ledger.csv b/research/fine_surface_joint_20261014/blow_ledger.csv
new file mode 100644
index 0000000..b43bbfd
--- /dev/null
+++ b/research/fine_surface_joint_20261014/blow_ledger.csv
@@ -0,0 +1,25 @@
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diff --git a/research/fine_surface_joint_20261014/blow_propagation.csv b/research/fine_surface_joint_20261014/blow_propagation.csv
new file mode 100644
index 0000000..f06d80d
--- /dev/null
+++ b/research/fine_surface_joint_20261014/blow_propagation.csv
@@ -0,0 +1,97 @@
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+fine_band_neq,22,2.2599308021065134e-06,1.241763983306221e-09,2.2599308009962904e-06,True,True,19.75,19.75,
+fine_band_neq,23,1.7067130013148635e-06,2.0696062086322797e-09,1.7075408424993554e-06,True,True,19.75,19.75,
+fine_band_neq,24,1.7691307190870198e-06,7.864502313270627e-09,1.768302879068262e-06,True,True,4.25,8.25,
+transfer_neq,1,0.0,1.5004641487625925e-09,1.5004641487625925e-09,False,False,3.5,3.5,6
+transfer_neq,2,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
+transfer_neq,3,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
+transfer_neq,4,0.0,6.881438113781613e-09,6.881438113781613e-09,False,False,3.5,3.5,6
+transfer_neq,5,0.0,6.467520081987477e-09,6.467520081987477e-09,False,False,3.5,3.5,6
+transfer_neq,6,4.801482146599145e-08,1.7384695072397705e-08,3.063012639359375e-08,False,False,20.5,12.5,1
+transfer_neq,7,9.917490157301811e-07,1.4901174696935193e-08,9.76847841033246e-07,True,True,20.5,13.5,1
+transfer_neq,8,5.3319513640959215e-06,7.450589978308386e-09,5.324500774117613e-06,True,True,20.5,13.5,1
+transfer_neq,9,1.3926900000016396e-05,4.967061900673642e-09,1.3921932938115722e-05,True,True,20.5,13.5,1
+transfer_neq,10,2.2683459353481372e-05,7.0366557441969846e-09,2.269049600922557e-05,True,True,20.5,13.5,1
+transfer_neq,11,2.6366830318105827e-05,8.692339972804497e-09,2.6375522658078632e-05,True,True,20.5,14.5,1
+transfer_neq,12,2.307753771932375e-05,1.0761948318616099e-08,2.3088299667642365e-05,True,True,20.5,14.5,1
+transfer_neq,13,1.804053278801898e-05,6.6227364148296886e-09,1.804715552443381e-05,True,True,16.5,20.5,3
+transfer_neq,14,1.3273871487681776e-05,3.725288785783043e-09,1.327759677646756e-05,True,True,17.5,20.5,3
+transfer_neq,15,1.109810416584367e-05,1.7074248230553035e-09,1.1096396741020614e-05,True,True,20.5,20.5,5
+transfer_neq,16,1.0547037354428218e-05,3.777030622292843e-09,1.0550814385050511e-05,True,True,20.5,20.5,5
+transfer_neq,17,7.76073680465103e-06,1.5522043823879006e-09,7.762289009033418e-06,True,True,20.5,20.5,5
+transfer_neq,18,6.477044739522375e-06,2.4835230261199825e-09,6.479528262548495e-06,True,True,16.5,3.5,4
+transfer_neq,19,6.888961226400592e-06,4.553130164564045e-09,6.893514356565156e-06,True,True,16.5,3.5,4
+transfer_neq,20,8.081834403372845e-06,1.6556842147297246e-09,8.080178719158115e-06,True,True,3.5,15.5,2
+transfer_neq,21,9.19306995308955e-06,4.553133203799575e-09,9.19762308629335e-06,True,True,3.5,15.5,2
+transfer_neq,22,9.90222802181584e-06,1.241762831449833e-09,9.90346978464729e-06,True,True,3.5,15.5,2
+transfer_neq,23,9.820215213826589e-06,3.725291089495819e-09,9.823940504916084e-06,True,True,3.5,16.5,2
+transfer_neq,24,9.034586770997888e-06,6.208816516473092e-09,9.028377954481415e-06,True,True,3.5,17.5,2
diff --git a/research/fine_surface_joint_20261014/blow_signals.npz b/research/fine_surface_joint_20261014/blow_signals.npz
new file mode 100644
index 0000000..528adf7
Binary files /dev/null and b/research/fine_surface_joint_20261014/blow_signals.npz differ
diff --git a/research/fine_surface_joint_20261014/blow_summary.json b/research/fine_surface_joint_20261014/blow_summary.json
new file mode 100644
index 0000000..32285ac
--- /dev/null
+++ b/research/fine_surface_joint_20261014/blow_summary.json
@@ -0,0 +1,170 @@
+{
+  "speed": 0.002,
+  "initial_leaf": [
+    560.7500041779131,
+    0.0,
+    0.0
+  ],
+  "final_leaf": [
+    560.8438616539352,
+    0.014835720416158438,
+    0.012527641374617815
+  ],
+  "raw_residual": [
+    0.0002896524965763092,
+    8.014030754566193e-06,
+    4.828907549381256e-06
+  ],
+  "exact_average_residual": [
+    0.00028958916664123535,
+    7.874332368373871e-06,
+    4.7245994210243225e-06
+  ],
+  "cumulative": {
+    "boundary": [
+      0.09356788685545325,
+      0.014827846083790064,
+      0.01252291677519679
+    ],
+    "fine_transfer": [
+      -0.0672332551330328,
+      -0.01191190630197525,
+      -0.010114157572388649
+    ],
+    "coarse_transfer": [
+      0.06723319180309772,
+      0.011911766603589058,
+      0.010114053264260292
+    ],
+    "rounding": [
+      0.0002896524965763092,
+      8.014030754566193e-06,
+      4.828907549381256e-06
+    ],
+    "average": [
+      -6.332993507385254e-08,
+      -1.3969838619232178e-07,
+      -1.043081283569336e-07
+    ]
+  },
+  "checks": {
+    "validity": true,
+    "geometry_unchanged": true,
+    "boundary_count": 48,
+    "collision_count": 72,
+    "local_collision": true,
+    "local_regime": true,
+    "bfl": true,
+    "transfer_rounding": true,
+    "interval_closure": true,
+    "cumulative_closure": true,
+    "propagation": true,
+    "drive_sign": true
+  },
+  "max_collision_ratio": 0.5696050037738337,
+  "max_collision_error": 1.5865499780609582e-07,
+  "max_bfl_error": 1.2725840020655355e-08,
+  "max_interval_closure": 0.0,
+  "drive_mass": 0.07436401406617413,
+  "propagation": {
+    "coarse_interface_u": {
+      "threshold": 1e-06,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 7,
+        "signal": 4.0664670353703905e-06,
+        "baseline": 2.0116559817931723e-07,
+        "absolute": 4.267265792606936e-06,
+        "x": 20.5,
+        "y": 13.5
+      },
+      "peak": {
+        "metric": "coarse_interface_u",
+        "time": 14,
+        "signal": 0.00028850325159438407,
+        "baseline": 3.003423681142711e-08,
+        "absolute": 0.00028847339892346693,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "x": 20.5,
+        "y": 15.5
+      }
+    },
+    "coarse_bulk_u": {
+      "threshold": 1e-06,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 8,
+        "signal": 1.1069172403255332e-06,
+        "baseline": 1.005827957173589e-07,
+        "absolute": 1.2074577299858699e-06,
+        "x": 13.5,
+        "y": 21.5
+      },
+      "peak": {
+        "metric": "coarse_bulk_u",
+        "time": 16,
+        "signal": 0.00025699080829703886,
+        "baseline": 0.0,
+        "absolute": 0.00025699080829703886,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "x": 21.5,
+        "y": 15.5
+      }
+    },
+    "fine_band_neq": {
+      "threshold": 1e-07,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 6,
+        "signal": 3.8661114470928126e-07,
+        "baseline": 9.934099098884985e-09,
+        "absolute": 3.766770456103963e-07,
+        "x": 19.75,
+        "y": 13.25
+      },
+      "peak": {
+        "metric": "fine_band_neq",
+        "time": 10,
+        "signal": 7.498180437826019e-06,
+        "baseline": 9.106256526614231e-09,
+        "absolute": 7.489074181299404e-06,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "x": 19.75,
+        "y": 15.25
+      }
+    },
+    "transfer_neq": {
+      "threshold": 1e-07,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 7,
+        "signal": 9.917490157301811e-07,
+        "baseline": 1.4901174696935193e-08,
+        "absolute": 9.76847841033246e-07,
+        "q": 1,
+        "x": 20.5,
+        "y": 13.5
+      },
+      "peak": {
+        "metric": "transfer_neq",
+        "time": 11,
+        "signal": 2.6366830318105827e-05,
+        "baseline": 8.692339972804497e-09,
+        "absolute": 2.6375522658078632e-05,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "q": 1,
+        "x": 20.5,
+        "y": 14.5
+      }
+    }
+  },
+  "raw_minus_zero": [
+    6.053410470485687e-05,
+    2.1085143089294434e-06,
+    9.126961231231689e-07
+  ]
+}
diff --git a/research/fine_surface_joint_20261014/command.txt b/research/fine_surface_joint_20261014/command.txt
new file mode 100644
index 0000000..510ecb2
--- /dev/null
+++ b/research/fine_surface_joint_20261014/command.txt
@@ -0,0 +1,2 @@
+/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python /home/frank14f/CelerisLab/research/fine_surface_joint_20261014/runner.py
+Child command, explicit environment, fresh resource preflight and actual exit are stored in gpu_run.json.
diff --git a/research/fine_surface_joint_20261014/criteria.txt b/research/fine_surface_joint_20261014/criteria.txt
new file mode 100644
index 0000000..dd36e76
--- /dev/null
+++ b/research/fine_surface_joint_20261014/criteria.txt
@@ -0,0 +1,110 @@
+FROZEN BEFORE GPU — bounded fine-surface/interface validation, 2026-10-14
+
+Scope: exactly three independent trajectories speed=0,+.002,-.002, each24
+coarse/48fine steps, same physical time[0,24]. No other GPU tests, extensions,
+parameter sweeps or time extensions. Read-only hook instrumentation of normal
+production build, no audit macro and no stepping/formula changes.
+
+Geometry: periodic24x24 coarse domain; patch edge bounds[4,20)x[4,20);
+fine40x40 including4halo; origin edge(2,2); fine dx=dt=.5; coarse dx=dt=1.
+Circle physical center(12.25,12.25),radius2.15 => fine integer center(20,20),R4.3.
+Stationary solid; surface angle.7rad,half_width.85rad,C1 amplitude0,+/-.002.
+nu_coarse=.05,tau_coarse=.65,tau_fine=.8; unforcedD2Q9SRT,FP32,unshiftedDB.
+Initial rho1,u0,Q-major postcollision equilibrium, same FP32 initial populations.
+All initial sources and device omega are checked. Actual package path must be
+/home/frank14f/CelerisLab/src. The preserved old tests are not changed or run.
+
+Validity at every fine/coarse hop and publication:
+All valid fluid leaves finite, density(.9,1.1) and |u|<.05 in local collision
+oracle validity regime. Fine solids and outermost2halo after each fine hopNaN;
+inner ghost exactly stream-only including legitimate directionalNaNs.
+Published fine ghost/solid and coarse coveredNaN. Geometry and flags unchanged.
+
+Propagation definitions (strict >; horizons and masks never adjusted):
+- Fine band: fine active fluid nodes with any D2Q9 nonrest neighbor outside
+  geometric active patch, excluding solid boundaries.
+- Coarse interface: uncovered receiver cells of actual coalescence map.
+- Coarse bulk: ALL uncovered coarse fluid except that interface receiver set.
+- Transfer neq: actual replaced q component of the full reconstructed coarse
+  incoming vector minus FP64feq(rho,u) of that same incoming vector, BEFORE
+  coarse collision. Do not form full macros from partly valid ghost children.
+- Fine band neq: postcollision g minus FP64 equilibrium from its own macros.
+- Velocities: FP64 moments of published postcollision g / rho.
+- Physical coordinate coarse(I+.5,J+.5);fine(2+.5*(i+.5),2+.5*(j+.5)).
+  Interface transfer and publication sampled at integer physical t=1..24.
+  Boundary substeps at t=n-.5,n; no claim of sub-integer arrival resolution.
+- At each same point/q,time,phase compare driven and ZERO trajectory:
+  velocity norm difference>1e-6 AND >10*zero velocity norm;
+  neq absolute difference>1e-7 AND >10*abs(zero neq).
+  Fine-band criterion uses maxq at each node for BOTH signal/baseline; this
+  conservatively requires excess over the largest zero neq at that node.
+- For BOTH signs, all4 metrics (fine-band neq, actual-transfer neq,
+  coarse-interface velocity, coarse-bulk velocity) must cross by24 or FAIL.
+  Record each first qualified sample and global peak's time,physicallocation,
+  baseline,absolutevalue,signal; per-step maxima and qualifying flag retained.
+  These are aligned signal witnesses, not necessarily the same node/direction.
+  This tests startup distribution/macroscopic propagation, possibly acoustic;
+  not established jet advection, physical accuracy or shear-only transmission.
+
+Ledger (M maps9populations to mass,px,py; area weights coarse1,fine1/4):
+L_n=M(sum coarse leaves+1/4 sum fine fluid leaves), FP64 accumulation.
+Each of48fine hops individually captures pre-BFL and staged BFL populations.
+B_h=1/4 M(actual solid-to-fluid arrivals minus fluid-to-solid departures).
+F_h=1/4 M(actual ghost-to-fluid arrivals minus fluid-to-ghost departures).
+B_n=B_h1+B_h2; F_n=F_h1+F_h2. No using latest buffer as two-hop sum.
+C_n=M(actual reconstructed coarse incoming minus previous coarse leaves),
+including periodic native streaming, all replacement links and8grazingcorners.
+Coarse incoming constructed from independent physical midpoint map; compare
+all target/source slots to actual tables. avg32=.25*((a+b)+c+d) inFP32.
+RAW_n=L_n-L_(n-1)-B_n-F_n-C_n; cumulative raw uses same initial/final leaves.
+Report RAW and driven-minus-zero RAW FIRST, never call them corrected to zero.
+
+Source-based rounding decomposition and separate fixed checks:
+1. Each fine/coarse collision: reconstruct actual FP32 input using pure pull
+   and avg32 where applicable. Independently evaluate FP64 SRT at the actual
+   device FP32omega, verifying omega against tau and force=0.
+   Every q,node must obey |GPUout-SRT64(input)| <= 8*eps32*|input_q|.
+   This fixed local, near-rest acceptance bound reflects short FP32 rho/macro/
+   feq/FMA path and fast-math compilation; it is not a general roundoff theorem.
+   Report max absolute error and max normalized ratio, and fail if ratio>1.
+   Cround = weighted sum M(GPUout-input) measured LOCALLY, independently of L
+   or RAW. Record FP64 ideal moment defect and measured GPUout-ideal separately.
+   Arbitrary collision error cannot be excused solely by global closure.
+2. Transfer Tround=M(avg32-avg64exact), computed independently from actual4
+   children. Require each slot <=gamma3*sum|children|/4, u=eps32/2,
+   gamma3=3u/(1-3u); exact power-of-two scaling in this normal positive regime.
+   avg32 already in C_n, so DO NOT subtract Tround a second time.
+   Also report RAW_exact_average=RAW+Tround to expose this source explicitly.
+3. BFL local oracle abs error<=1e-7, actual active cells unchanged.
+4. |RAW_n-Cround_n|<=1e-10 componentwise per interval;
+   |sum RAW-sum Cround|<=1e-9 cumulative. These are FP64 bookkeeping bounds,
+   NOT a physical-conservation/accuracy test. No broad eps*whole-domain
+   accumulated budget used to label raw conservation as passing.
+5. Both driven cases' cumulative actual-minus-passive-oracle boundary mass
+   has same sign as specified normal speed. BFL passive evaluated on same
+   actual populations; not another trajectory and not a conservation fix.
+
+Saved data: pertrajectory24ledger rows,72local collision rows,48fine boundary
+rows; small compressed diagnostic signals for reproducible zero comparisons;
+no full-field populations. Per-step link_exchange_GPU also saved separately:
+latest fine Fx,Fy scaled1/4; torque scaled1/8 for physical lever length. These
+body momentum diagnostics differ from fluid mass exchange and are NOT thrust
+or exchange rate. A fine-hop fluid exchange rate is B_h/.5; the coarse interval
+rate is (B_h1+B_h2)/1, numerically equal to interval sum only because dt_c=1.
+Do not equate B_h2/latest with two-hop interval sum.
+
+No post-result tolerance/formula/window changes, retries or added steps to
+chase PASS. Preserve errors with real stdout/exit. Report precise unmet checks.
+Resource guards: fresh physicalGPU0UUID/apps/VRAM/RAM, onlyGPU0ifidle; no
+other task interference; 180secondwalltimeout; current available RAM reserve
+max(4GiB,10%),VRAM reserve max(512MiB,10%), own temporary+evidence<=2GB.
+Sample own process group RSS, no fixed address-space/RSS cap; remove only owned
+scratch. Every text artifact<=40000characters. Hash criteria/script/source at
+freeze then verify before launch; preserve all previous dirty/evidence.
+
+Reference trace: accepted local tests/test_fine_surface_gpu.py BFL/flux hooks;
+refinement.cu actual two fine hops and coalesce order; macro.cuh and
+collision_srt.cuh actual FP32 collision path; compiler_v2.py --use_fast_math.
+Previously accepted OpenLB defineU2D.hh74-79/offBoundaryPostProcessors2D.hh115-127
+remain BFL hit/stencil reference; no new CFD formula or borrowed code.
+Production change limited to one coordinate-frame documentation sentence.
diff --git a/research/fine_surface_joint_20261014/frozen.json b/research/fine_surface_joint_20261014/frozen.json
new file mode 100644
index 0000000..b5a3324
--- /dev/null
+++ b/research/fine_surface_joint_20261014/frozen.json
@@ -0,0 +1,105 @@
+{
+  "frozen_utc": "2026-10-14T05:55:03.221284+00:00",
+  "hashes": {
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+    "src/CelerisLab.egg-info/top_level.txt": "cd51958ca03afabbaa9618c60b8280e486f8cc0b0359b839e10f886e7c3948f8",
+    "src/CelerisLab.egg-info/dependency_links.txt": "01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b",
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+    "src/CelerisLab.egg-info/SOURCES.txt": "f36b29c1b34c4bd6b2acc3ccdd21c24ee5077df7e2a20a652d9fae77eedb8e21",
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+    "src/CelerisLab/config.py": "2f1bba7515f5bc08cb3a8d140bcafe7fa0689e01b3b06494697bb2956a71530e",
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+    "src/CelerisLab/lbm/field.py": "0e727eacc3706add4d8d15c418e9b631050871f831698d3ac689dd5f2c701b9b",
+    "src/CelerisLab/lbm/equilibrium.py": "2fb2f2bb7ff326d23abce80fc2a4c0907b17740ea3e29fe6ae079c5044783826",
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diff --git a/research/fine_surface_joint_20261014/gpu_run.json b/research/fine_surface_joint_20261014/gpu_run.json
new file mode 100644
index 0000000..67ac478
--- /dev/null
+++ b/research/fine_surface_joint_20261014/gpu_run.json
@@ -0,0 +1,39 @@
+{
+  "start_utc": "2026-10-14T05:55:16.773509+00:00",
+  "command": [
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "/home/frank14f/CelerisLab/research/fine_surface_joint_20261014/validate.py"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "physical_gpu_uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "note": "Sampled guards, not an OS hard isolation; no fixed RSS/AS cap.",
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diff --git a/research/fine_surface_joint_20261014/incremental.diff b/research/fine_surface_joint_20261014/incremental.diff
new file mode 100644
index 0000000..e03c132
--- /dev/null
+++ b/research/fine_surface_joint_20261014/incremental.diff
@@ -0,0 +1,10 @@
+--- a/src/CelerisLab/lbm/refinement_stepper.py
++++ b/src/CelerisLab/lbm/refinement_stepper.py
+@@ -39,6 +39,7 @@
+     velocities are in coarse lattice units (dx=dt=1). Independent local copies
+     are projected at fine cell centers. Their complete stencil must be active
+     and disjoint from the actual two-hop transfer footprint.
++    These use the edge/cell-center frame (coarse centers I+.5), whereas ordinary Simulation objects use the integer-node frame.
+ 
+     ``initialize(coarse_g, fine_g)`` accepts physical Q-major (9,ny,nx) arrays
+     already in postcollision phase. It does not collide or build channel flags.
diff --git a/research/fine_surface_joint_20261014/integrity.json b/research/fine_surface_joint_20261014/integrity.json
new file mode 100644
index 0000000..a8b6e4b
--- /dev/null
+++ b/research/fine_surface_joint_20261014/integrity.json
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+{
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diff --git a/research/fine_surface_joint_20261014/regions.json b/research/fine_surface_joint_20261014/regions.json
new file mode 100644
index 0000000..7bba269
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+      "x": 20.5,
+      "y": 10.5
+    },
+    {
+      "q": 5,
+      "x": 20.5,
+      "y": 10.5
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+    {
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+      "x": 20.5,
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+    {
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+      "y": 11.5
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+    {
+      "q": 6,
+      "x": 3.5,
+      "y": 11.5
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+    {
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+      "x": 3.5,
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+    {
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+    {
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+    {
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+      "x": 20.5,
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+    {
+      "q": 7,
+      "x": 20.5,
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+    {
+      "q": 2,
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
+      "q": 7,
+      "x": 20.5,
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+    {
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+    {
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+    {
+      "q": 1,
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+      "x": 20.5,
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+    {
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+      "x": 4.5,
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+    {
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+    {
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+}
diff --git a/research/fine_surface_joint_20261014/report.txt b/research/fine_surface_joint_20261014/report.txt
new file mode 100644
index 0000000..d7571e0
--- /dev/null
+++ b/research/fine_surface_joint_20261014/report.txt
@@ -0,0 +1,110 @@
+2026-10-14 — fine surface + fixed patch：24粗步短联合验证
+
+结果：仅运行0、+.002、-.002三条同时间轨迹，各24coarse/48fine、物理时间24；
+唯一GPU批次exit0，全部预设局部算子、有效性、记账与传播检查通过，已停止。
+这不是严格守恒、物理精度、成熟喷流、空间收敛或长期稳定性认证。
+
+先报告未修正累计收支残差（质量、Px、Py；实际FP32 transfer账本）：
+  零驱动   +2.2911839187e-4  +5.9055164456e-6  +3.9162114263e-6
+  正吹     +2.8965249658e-4  +8.0140307546e-6  +4.8289075494e-6
+  负吸     +3.3393828198e-4  +2.1932646632e-7  +2.6496127248e-7
+相对零驱动的原始残差差值（不是修正后的守恒量）：
+  正吹     +6.0534104705e-5  +2.1085143089e-6  +9.1269612312e-7
+  负吸     +1.0481989011e-4  -5.6861899793e-6  -3.6512501538e-6
+零驱动本身有FP32累计漂移，不能把bitwise非零视为传播，也不能把舍入后闭合0
+说成原始残差为0。正吹/负吸的原始质量残差分别约占实际边界净质量交换的
+0.310%/0.357%；扣同时间零驱动基线后的差值分别约占0.0647%/0.1122%。
+这里只报告比例，没有事后以这些比例新增通过判据。
+
+传播证据（两驱动同样的首次达标时间和物理坐标；时间以整数粗步采样）：
+量                         首次t/位置                  正吹差值       负吸差值
+fine接口内侧post-G neq     6 /(19.75,13.25)           3.86611e-7    3.73349e-7
+真实transfer arrival neq   7 /(20.5,13.5),q1          9.91749e-7    1.00666e-6
+coarse接收圈post-G速度     7 /(20.5,13.5)             4.06647e-6    4.09198e-6
+接收圈之外coarse bulk速度  8 /(13.5,21.5)             1.10692e-6    1.01799e-6
+对应零驱动基线依次9.93410e-9、1.49012e-8、2.01166e-7、1.00583e-7。
+预先固定速度差>1e-6，neq差>1e-7，且均>同位置/时间/阶段基线10倍；两符号均满足。
+负吸bulk首次点的绝对速度9.17512e-7，差值1.01799e-6；判据本来就针对差值，
+未把它改写为绝对速度超过1e-6。随后峰值处绝对速度和差值均明显非零。
+
+峰值（相对零驱动，全部位于预设采样窗口内）：
+量                         峰值t/位置                  正吹            负吸
+fine接口内侧neq           10 /(19.75,15.25)          7.49818e-6     7.38603e-6
+真实transfer neq          11 /(20.5,14.5),q1         2.63668e-5     2.62411e-5
+coarse接收圈速度          14 /(20.5,15.5)            2.88503e-4     2.87819e-4
+接收圈之外bulk速度        16 /(21.5,15.5)            2.56991e-4     2.56441e-4
+这里证明喷吸启动扰动实际到达并通过接口，可能含压力/声学传播。不同指标的
+首次点是各自固定区域的检测见证，不冒称同一个流体质点的轨迹。24粗步内不能
+判断成熟射流或纯剪切扰动的跨接口精度。区域及实际传递方向保存在regions.json；
+每步指标、first/peak、同点基线和绝对值均有CSV/JSON；小型NPZ供离线复核。
+
+逐步收支与舍入：
+每条轨迹24行复合叶节点质量/动量账本；48行真实fine边界交换（每区间2行、
+每次面积权重1/4）；72行局部collision诊断（每区间fine2次、coarse1次）。
+实际fluid boundary、fine transfer和coarse transfer分别统计，未用最新一帧
+link_exchange代替两子步累计。最新body impulse另列，仅为该子步的动量交换；
+fine rate=该子步交换/.5，coarse rate=两子步之和/1，不冒充总推力。
+
+24区间累计（质量、Px、Py）：
+正吹B = (+.0935678868555, +.0148278460838, +.0125229167752)
+正吹F = (-.0672332551330, -.0119119063020, -.0101141575724)
+正吹C = (+.0672331918031, +.0119117666036, +.0101140532643)
+负吸B = (-.0934597565793, -.0147664458491, -.0124674369581)
+负吸F = (+.0670307464898, +.0118954917416, +.0100988540798)
+负吸C = (-.0670307874680, -.0118956044316, -.0100990422070)
+其中B为solid边界净交换，F为fine叶/halo交换，C为coarse真实incoming收支。
+正吹/负吸同实际population上相对passive BFL oracle的累计附加质量分别
++.0743640140662、-.0742686590511，符号正确；这不是额外轨迹或守恒修正。
+
+每个碰撞逐q/节点独立FP64 SRT参考：使用实际读回FP32omega并核对tau/force；
+固定近静止判据|GPUout-SRT64(actual_input)|<=8*eps32*|input_q|。
+三轨迹最大归一化误差分别.463942、.569605、.528511，全部<1；
+最大绝对误差分别1.29143e-7、1.58655e-7、1.64771e-7。
+它是本例的固定局部容差，考虑实际fast-math/FMA路径，不是一般舍入定理。
+每次局部M(output-input)独立测得的累计漂移与原始账本残差吻合；逐区间和累计
+剩余闭合误差在FP64计账中恰为0，满足预设1e-10/1e-9。这个零是记账分解验证，
+不是离散方案的精确物理守恒结论，也未以全域大容差掩盖raw残差。
+
+coalescence的顺序FP32四子格平均与精确FP64均值之差独立由实际children计算，
+所有槽通过固定gamma3局部界限；实际transfer账本已经包含它，没有重复扣除。
+累计平均舍入（质量、Px、Py）：
+  零驱动 (-5.7183206081e-7, -1.8812716007e-7, -2.8312206268e-7)
+  正吹   (-6.3329935074e-8, -1.3969838619e-7, -1.0430812836e-7)
+  负吸   (-4.0978193283e-8, -1.1269003153e-7, -1.8812716007e-7)
+采用精确平均记账的原始残差亦保存在各summary的exact_average_residual中。
+BFL最大局部误差三轨迹均<=1.27259e-8，低于冻结1e-7。
+未从末态差反推任何收支项，也未看到结果后改公式、阈值、窗口或步数。
+
+有效性：每细步active流体有限、solid与最外2层halo为NaN；inner ghost按真实
+逐方向stream-only（包含合法NaN）核对。每粗步发布fine全部非叶和coarse covered
+均NaN；leaf finite、局部密度/速度范围达标；几何/flags/源对象不变。
+coarse320叶节点，其中68接口接收节点、252外部bulk；fine963流体叶，
+124接口内侧节点；实际coalescence196方向槽，包括原有8个grazing-corner槽。
+
+执行和范围：
+冻结2026-10-14 05:55:03 UTC，GPU启动05:55:16 UTC，实际耗时9.596s，exit0。
+GPU0 UUID GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c，预检5MiB/util0/无计算进程。
+包来源严格为/home/frank14f/CelerisLab/src；现有pycuda_3_10环境；未安装依赖。
+峰值进程组RSS297836544bytes，最少可用RAM63740788736bytes，最少可用VRAM
+15826MiB，本轮临时与证据采样峰值2081386bytes，远小于2GB；无保护触发。
+采样保护不是OS硬隔离；独占scratch已删除，GPU退出后5MiB且无计算进程。
+
+生产增量只有refinement_stepper.py一行文档，+1/-0，明确fine_objects采用
+edge/cell-center坐标（coarse中心I+.5），普通Simulation使用integer-node坐标。
+完整610文件基线比对仅这一文件改变；既有dirty、旧审查和运行证据全部保留；
+100个冻结脚本/源码哈希复核一致；不改生产公式、helper、网格或推进时序；
+无提交/推送、无DynamisLab修改、无额外GPU矩阵。默认旧测试未改未重跑。
+
+证据导航：
+criteria.txt + frozen.json：运行前完整判据、时间戳、SHA256；不可事后改写。
+command.txt + runner.py + gpu_run.json + stdout.txt：确切命令、环境、预检、退出。
+validate.py：本次独立验证脚本，复用已接受test_fine_surface_gpu.py的只读钩子。
+zero/blow/suction_{ledger,collisions,boundary}.csv：必要逐步量与分解。
+blow/suction_propagation.csv、*_summary.json、*_signals.npz：信号与对齐基线。
+result.json：固定判据结果；regions.json：坐标/方向；integrity.json：范围完整性。
+incremental.diff：唯一生产增量；baseline_*.json：保留旧文件的哈希基线。
+代码/数值只读agent交叉复核见review.txt。所有最终文本每份<=40000字符。
+
+限制：以上仅短时离散联合一致性和启动扰动跨接口证据。原始FP32漂移仍存在，
+未在本轮修正；不证明物理精度、空间收敛、稳态、长时稳定、性能或通用AMR。
+此步已完成并停止，没有延伸B墙穿接口候选、checkpoint或其他特性。
diff --git a/research/fine_surface_joint_20261014/result.json b/research/fine_surface_joint_20261014/result.json
new file mode 100644
index 0000000..9580c26
--- /dev/null
+++ b/research/fine_surface_joint_20261014/result.json
@@ -0,0 +1,412 @@
+{
+  "passed": true,
+  "runs": {
+    "zero": {
+      "speed": 0.0,
+      "initial_leaf": [
+        560.7500041779131,
+        0.0,
+        0.0
+      ],
+      "final_leaf": [
+        560.7502328557894,
+        4.124827682971954e-06,
+        3.1795352697372437e-06
+      ],
+      "raw_residual": [
+        0.00022911839187145233,
+        5.905516445636749e-06,
+        3.916211426258087e-06
+      ],
+      "exact_average_residual": [
+        0.00022854655981063843,
+        5.717389285564423e-06,
+        3.6330893635749817e-06
+      ],
+      "cumulative": {
+        "boundary": [
+          1.3131648302078247e-07,
+          -1.5925616025924683e-06,
+          -4.5355409383773804e-07
+        ],
+        "fine_transfer": [
+          -9.47713851928711e-05,
+          3.1068921089172363e-06,
+          -2.084299921989441e-06
+        ],
+        "coarse_transfer": [
+          9.419955313205719e-05,
+          -3.295019268989563e-06,
+          1.8011778593063354e-06
+        ],
+        "rounding": [
+          0.00022911839187145233,
+          5.905516445636749e-06,
+          3.916211426258087e-06
+        ],
+        "average": [
+          -5.718320608139038e-07,
+          -1.8812716007232666e-07,
+          -2.8312206268310547e-07
+        ]
+      },
+      "checks": {
+        "validity": true,
+        "geometry_unchanged": true,
+        "boundary_count": 48,
+        "collision_count": 72,
+        "local_collision": true,
+        "local_regime": true,
+        "bfl": true,
+        "transfer_rounding": true,
+        "interval_closure": true,
+        "cumulative_closure": true
+      },
+      "max_collision_ratio": 0.46394191845799526,
+      "max_collision_error": 1.2914339875269576e-07,
+      "max_bfl_error": 1.0332863675799331e-08,
+      "max_interval_closure": 0.0,
+      "drive_mass": 3.733417470608985e-07
+    },
+    "blow": {
+      "speed": 0.002,
+      "initial_leaf": [
+        560.7500041779131,
+        0.0,
+        0.0
+      ],
+      "final_leaf": [
+        560.8438616539352,
+        0.014835720416158438,
+        0.012527641374617815
+      ],
+      "raw_residual": [
+        0.0002896524965763092,
+        8.014030754566193e-06,
+        4.828907549381256e-06
+      ],
+      "exact_average_residual": [
+        0.00028958916664123535,
+        7.874332368373871e-06,
+        4.7245994210243225e-06
+      ],
+      "cumulative": {
+        "boundary": [
+          0.09356788685545325,
+          0.014827846083790064,
+          0.01252291677519679
+        ],
+        "fine_transfer": [
+          -0.0672332551330328,
+          -0.01191190630197525,
+          -0.010114157572388649
+        ],
+        "coarse_transfer": [
+          0.06723319180309772,
+          0.011911766603589058,
+          0.010114053264260292
+        ],
+        "rounding": [
+          0.0002896524965763092,
+          8.014030754566193e-06,
+          4.828907549381256e-06
+        ],
+        "average": [
+          -6.332993507385254e-08,
+          -1.3969838619232178e-07,
+          -1.043081283569336e-07
+        ]
+      },
+      "checks": {
+        "validity": true,
+        "geometry_unchanged": true,
+        "boundary_count": 48,
+        "collision_count": 72,
+        "local_collision": true,
+        "local_regime": true,
+        "bfl": true,
+        "transfer_rounding": true,
+        "interval_closure": true,
+        "cumulative_closure": true,
+        "propagation": true,
+        "drive_sign": true
+      },
+      "max_collision_ratio": 0.5696050037738337,
+      "max_collision_error": 1.5865499780609582e-07,
+      "max_bfl_error": 1.2725840020655355e-08,
+      "max_interval_closure": 0.0,
+      "drive_mass": 0.07436401406617413,
+      "propagation": {
+        "coarse_interface_u": {
+          "threshold": 1e-06,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 7,
+            "signal": 4.0664670353703905e-06,
+            "baseline": 2.0116559817931723e-07,
+            "absolute": 4.267265792606936e-06,
+            "x": 20.5,
+            "y": 13.5
+          },
+          "peak": {
+            "metric": "coarse_interface_u",
+            "time": 14,
+            "signal": 0.00028850325159438407,
+            "baseline": 3.003423681142711e-08,
+            "absolute": 0.00028847339892346693,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "x": 20.5,
+            "y": 15.5
+          }
+        },
+        "coarse_bulk_u": {
+          "threshold": 1e-06,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 8,
+            "signal": 1.1069172403255332e-06,
+            "baseline": 1.005827957173589e-07,
+            "absolute": 1.2074577299858699e-06,
+            "x": 13.5,
+            "y": 21.5
+          },
+          "peak": {
+            "metric": "coarse_bulk_u",
+            "time": 16,
+            "signal": 0.00025699080829703886,
+            "baseline": 0.0,
+            "absolute": 0.00025699080829703886,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "x": 21.5,
+            "y": 15.5
+          }
+        },
+        "fine_band_neq": {
+          "threshold": 1e-07,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 6,
+            "signal": 3.8661114470928126e-07,
+            "baseline": 9.934099098884985e-09,
+            "absolute": 3.766770456103963e-07,
+            "x": 19.75,
+            "y": 13.25
+          },
+          "peak": {
+            "metric": "fine_band_neq",
+            "time": 10,
+            "signal": 7.498180437826019e-06,
+            "baseline": 9.106256526614231e-09,
+            "absolute": 7.489074181299404e-06,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "x": 19.75,
+            "y": 15.25
+          }
+        },
+        "transfer_neq": {
+          "threshold": 1e-07,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 7,
+            "signal": 9.917490157301811e-07,
+            "baseline": 1.4901174696935193e-08,
+            "absolute": 9.76847841033246e-07,
+            "q": 1,
+            "x": 20.5,
+            "y": 13.5
+          },
+          "peak": {
+            "metric": "transfer_neq",
+            "time": 11,
+            "signal": 2.6366830318105827e-05,
+            "baseline": 8.692339972804497e-09,
+            "absolute": 2.6375522658078632e-05,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "q": 1,
+            "x": 20.5,
+            "y": 14.5
+          }
+        }
+      },
+      "raw_minus_zero": [
+        6.053410470485687e-05,
+        2.1085143089294434e-06,
+        9.126961231231689e-07
+      ]
+    },
+    "suction": {
+      "speed": -0.002,
+      "initial_leaf": [
+        560.7500041779131,
+        0.0,
+        0.0
+      ],
+      "final_leaf": [
+        560.6568783186376,
+        -0.014766339212656021,
+        -0.012467360123991966
+      ],
+      "raw_residual": [
+        0.00033393828198313713,
+        2.193264663219452e-07,
+        2.6496127247810364e-07
+      ],
+      "exact_average_residual": [
+        0.00033389730378985405,
+        1.0663643479347229e-07,
+        7.683411240577698e-08
+      ],
+      "cumulative": {
+        "boundary": [
+          -0.0934597565792501,
+          -0.014766445849090815,
+          -0.012467436958104372
+        ],
+        "fine_transfer": [
+          0.06703074648976326,
+          0.011895491741597652,
+          0.010098854079842567
+        ],
+        "coarse_transfer": [
+          -0.06703078746795654,
+          -0.011895604431629181,
+          -0.01009904220700264
+        ],
+        "rounding": [
+          0.00033393828198313713,
+          2.193264663219452e-07,
+          2.6496127247810364e-07
+        ],
+        "average": [
+          -4.0978193283081055e-08,
+          -1.126900315284729e-07,
+          -1.8812716007232666e-07
+        ]
+      },
+      "checks": {
+        "validity": true,
+        "geometry_unchanged": true,
+        "boundary_count": 48,
+        "collision_count": 72,
+        "local_collision": true,
+        "local_regime": true,
+        "bfl": true,
+        "transfer_rounding": true,
+        "interval_closure": true,
+        "cumulative_closure": true,
+        "propagation": true,
+        "drive_sign": true
+      },
+      "max_collision_ratio": 0.5285112236646456,
+      "max_collision_error": 1.6477090769573266e-07,
+      "max_bfl_error": 1.2498588997100768e-08,
+      "max_interval_closure": 0.0,
+      "drive_mass": -0.07426865905109248,
+      "propagation": {
+        "coarse_interface_u": {
+          "threshold": 1e-06,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 7,
+            "signal": 4.091979903802207e-06,
+            "baseline": 2.0116559817931723e-07,
+            "absolute": 3.8910894220610345e-06,
+            "x": 20.5,
+            "y": 13.5
+          },
+          "peak": {
+            "metric": "coarse_interface_u",
+            "time": 14,
+            "signal": 0.0002878189146376881,
+            "baseline": 3.003423681142711e-08,
+            "absolute": 0.0002878487673732557,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "x": 20.5,
+            "y": 15.5
+          }
+        },
+        "coarse_bulk_u": {
+          "threshold": 1e-06,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 8,
+            "signal": 1.0179867624062477e-06,
+            "baseline": 1.005827957173589e-07,
+            "absolute": 9.175116276483961e-07,
+            "x": 13.5,
+            "y": 21.5
+          },
+          "peak": {
+            "metric": "coarse_bulk_u",
+            "time": 16,
+            "signal": 0.00025644070267233306,
+            "baseline": 0.0,
+            "absolute": 0.00025644070267233306,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "x": 21.5,
+            "y": 15.5
+          }
+        },
+        "fine_band_neq": {
+          "threshold": 1e-07,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 6,
+            "signal": 3.733491271140643e-07,
+            "baseline": 9.934099098884985e-09,
+            "absolute": 3.832832262129493e-07,
+            "x": 19.75,
+            "y": 13.25
+          },
+          "peak": {
+            "metric": "fine_band_neq",
+            "time": 10,
+            "signal": 7.386030289713297e-06,
+            "baseline": 9.106256526614231e-09,
+            "absolute": 7.395136546239911e-06,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "x": 19.75,
+            "y": 15.25
+          }
+        },
+        "transfer_neq": {
+          "threshold": 1e-07,
+          "baseline_factor": 10,
+          "first_arrival": {
+            "time": 7,
+            "signal": 1.0066612778220074e-06,
+            "baseline": 1.4901174696935193e-08,
+            "absolute": 1.0215624525189426e-06,
+            "q": 1,
+            "x": 20.5,
+            "y": 13.5
+          },
+          "peak": {
+            "metric": "transfer_neq",
+            "time": 11,
+            "signal": 2.6241128339946074e-05,
+            "baseline": 8.692339972804497e-09,
+            "absolute": 2.623243599997327e-05,
+            "any_crossed": true,
+            "peak_crossed": true,
+            "q": 1,
+            "x": 20.5,
+            "y": 14.5
+          }
+        }
+      },
+      "raw_minus_zero": [
+        0.0001048198901116848,
+        -5.686189979314804e-06,
+        -3.6512501537799835e-06
+      ]
+    }
+  }
+}
diff --git a/research/fine_surface_joint_20261014/review.txt b/research/fine_surface_joint_20261014/review.txt
new file mode 100644
index 0000000..bbe1d8a
--- /dev/null
+++ b/research/fine_surface_joint_20261014/review.txt
@@ -0,0 +1,36 @@
+Read-only agent review, 2026-10-14
+
+/root/architecture — pre-run:
+No blocking issue in hooked kernel arguments/order, masks or area weighting.
+Caught CSV signal-location ambiguity and exchange-unit ambiguity before freeze:
+fixed any_crossed versus peak_crossed; renamed latest_body_impulse_x/y and
+latest_body_angular_impulse. No production behavior changes.
+
+/root/numerical — pre-run:
+Avoid rho/u at partly valid halo children; transfer neq is defined at full
+coarse incoming vector, actual replaced q. No double-counting average rounding.
+Require independent local SRT oracle before describing measured local drift as
+rounding. Freeze pointwise baseline comparisons; startup propagation may be
+acoustic, not established jet advection. Suggestions incorporated before GPU.
+
+/root/architecture — post-run:
+All frozen hashes match current sources; frozen.json digest matches gpu_run.
+Freeze05:55:03 precedes launch05:55:16UTC, real exit0. Each trajectory has correct
+ordered24ledger/72collision/48boundary rows; result/summary/final ledger agree.
+Independently reconstructed all4metrics' per-time any_crossed/peak_crossed,
+first-arrival and peaks/locations from saved signals.npz; all agree.
+All text artifacts inspected within40000characters. No material gap.
+
+/root/numerical — post-run:
+Independently summed all3ledger/collision CSVs: all components of locally
+measured collision drift exactly reproduce raw global residual. Each interval
+fine_transfer+coarse_transfer-average_rounding is0. Largest FP64ideal moment
+defect about2.94e-14. Maximum independent local oracle normalized error.569605
+is below fixed1. Thus ledger closure is not the sole acceptance gate.
+No blocking issue. Raw mass residuals2.29118e-4/2.89652e-4/3.33938e-4 remain;
+identifying their FP32 source does not physically repair them or establish
+strict conservation. First6/7/8 are integer sampling threshold witnesses,
+not accurate propagation-speed or mature-jet/accuracy claims.
+
+Agents performed read-only inspection/offline data parsing, no file edits,
+no GPU launch and no old regression runs. Root is the sole editor/launcher.
diff --git a/research/fine_surface_joint_20261014/runner.py b/research/fine_surface_joint_20261014/runner.py
new file mode 100644
index 0000000..812973a
--- /dev/null
+++ b/research/fine_surface_joint_20261014/runner.py
@@ -0,0 +1,130 @@
+"""One launch, fresh resource guards, only owned scratch/process-group cleanup."""
+import hashlib
+import json
+import os
+from pathlib import Path
+import shutil
+import signal
+import subprocess
+import tempfile
+import time
+from datetime import datetime, timezone
+
+ROOT = Path('/home/frank14f/CelerisLab')
+OUT = Path(__file__).resolve().parent
+PYTHON = '/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
+UUID = 'GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c'
+
+
+def command(args):
+    return subprocess.check_output(args, text=True, timeout=10)
+
+
+def gpu():
+    return command(['nvidia-smi', '--query-gpu=index,uuid,name,memory.used,memory.free,utilization.gpu', '--format=csv,noheader,nounits'])
+
+
+def apps():
+    return command(['nvidia-smi', '--query-compute-apps=gpu_uuid,pid,process_name,used_memory', '--format=csv,noheader,nounits'])
+
+
+def ram():
+    for line in Path('/proc/meminfo').read_text().splitlines():
+        if line.startswith('MemAvailable:'):
+            return int(line.split()[1])*1024
+    raise RuntimeError('MemAvailable unavailable')
+
+
+def disk(paths):
+    return sum(p.stat().st_size for root in paths for p in root.rglob('*') if p.is_file())
+
+
+def group_rss(pgid):
+    total = 0
+    for proc in Path('/proc').iterdir():
+        if not proc.name.isdigit():
+            continue
+        try:
+            fields = (proc/'stat').read_text().rsplit(') ', 1)[1].split()
+            if int(fields[2]) == pgid:
+                for line in (proc/'status').read_text().splitlines():
+                    if line.startswith('VmRSS:'):
+                        total += int(line.split()[1])*1024
+        except (OSError, ValueError, IndexError):
+            pass
+    return total
+
+
+def main():
+    assert not (OUT/'gpu_run.json').exists(), 'Do not repeat an existing launch'
+    data = dict(start_utc=datetime.now(timezone.utc).isoformat(), command=[PYTHON, str(OUT/'validate.py')],
+                cwd=str(ROOT), physical_gpu_uuid=UUID, note='Sampled guards, not an OS hard isolation; no fixed RSS/AS cap.')
+    scratch = None
+    process = None
+    started = time.monotonic()
+    code = 1
+    try:
+        frozen = json.loads((OUT/'frozen.json').read_text())
+        for path, digest in frozen['hashes'].items():
+            assert hashlib.sha256((ROOT/path).read_bytes()).hexdigest() == digest, path
+        data['preflight_gpu'], data['preflight_apps'], data['preflight_ram_bytes'] = gpu(), apps(), ram()
+        fields = next(line.split(', ') for line in data['preflight_gpu'].splitlines() if UUID in line)
+        used, free, util = map(int, fields[-3:])
+        assert fields[0] == '0' and used <= 16 and free >= 2048 and util == 0
+        assert UUID not in data['preflight_apps'] and data['preflight_ram_bytes'] >= 4*1024**3
+        limits = dict(wall_seconds=180, temp_bytes=2_000_000_000,
+                      ram_reserve_bytes=max(4*1024**3, data['preflight_ram_bytes']//10),
+                      vram_reserve_MiB=max(512, free//10))
+        data['limits'] = limits
+        scratch = Path(tempfile.mkdtemp(prefix='celeris-joint24-'))
+        env = dict(PYTHONPATH=str(ROOT/'src'), PYTHONNOUSERSITE='1', PYTHONDONTWRITEBYTECODE='1',
+                   OPENBLAS_NUM_THREADS='1', CUDA_VISIBLE_DEVICES=UUID,
+                   CUDA_CACHE_DISABLE='1', TMPDIR=str(scratch))
+        data['env'] = env
+        data['frozen_sha256'] = hashlib.sha256((OUT/'frozen.json').read_bytes()).hexdigest()
+        data['peak_group_rss_bytes'] = 0
+        data['peak_temp_bytes'] = disk([OUT,scratch])
+        data['min_ram_bytes'] = data['preflight_ram_bytes']
+        data['min_vram_free_MiB'] = free
+        data['termination_reason'] = None
+        with (OUT/'stdout.txt').open('w') as output:
+            process = subprocess.Popen(data['command'], cwd=ROOT, env={**os.environ, **env},
+                                       stdout=output, stderr=subprocess.STDOUT, start_new_session=True)
+            while process.poll() is None:
+                available, occupied = ram(), disk([OUT,scratch])
+                free = int(next(line.split(', ')[-2] for line in gpu().splitlines() if UUID in line))
+                data['peak_group_rss_bytes'] = max(data['peak_group_rss_bytes'], group_rss(process.pid))
+                data['peak_temp_bytes'] = max(data['peak_temp_bytes'], occupied)
+                data['min_ram_bytes'] = min(data['min_ram_bytes'], available)
+                data['min_vram_free_MiB'] = min(data['min_vram_free_MiB'], free)
+                if (time.monotonic()-started > limits['wall_seconds'] or occupied > limits['temp_bytes']
+                        or available < limits['ram_reserve_bytes'] or free < limits['vram_reserve_MiB']):
+                    data['termination_reason'] = 'Time/disk/RAM/VRAM guard triggered'
+                    os.killpg(process.pid, signal.SIGTERM)
+                    try:
+                        process.wait(timeout=5)
+                    except subprocess.TimeoutExpired:
+                        os.killpg(process.pid, signal.SIGKILL)
+                    break
+                time.sleep(.5)
+            code = process.wait(timeout=10)
+        data['postflight_gpu'], data['postflight_apps'] = gpu(), apps()
+    except BaseException as error:
+        data['runner_error'] = repr(error)
+        if process is not None and process.poll() is None:
+            os.killpg(process.pid, signal.SIGKILL)
+            process.wait(timeout=10)
+        raise
+    finally:
+        data['exit_code'] = code
+        data['elapsed_seconds'] = time.monotonic()-started
+        if scratch is not None:
+            shutil.rmtree(scratch)
+        data['scratch_removed'] = scratch is None or not scratch.exists()
+        (OUT/'gpu_run.json').write_text(json.dumps(data, indent=2)+'\n')
+        print(json.dumps(data, indent=2), flush=True)
+    raise SystemExit(code)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/research/fine_surface_joint_20261014/stdout.txt b/research/fine_surface_joint_20261014/stdout.txt
new file mode 100644
index 0000000..c9218e2
--- /dev/null
+++ b/research/fine_surface_joint_20261014/stdout.txt
@@ -0,0 +1,74 @@
+SOURCE /home/frank14f/CelerisLab/src/CelerisLab/__init__.py CRITERIA 2026-10-14T05:55:03.221284+00:00
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+RESULT {"passed": true, "summaries": {"zero": {"speed": 0.0, "initial_leaf": [560.7500041779131, 0.0, 0.0], "final_leaf": [560.7502328557894, 4.124827682971954e-06, 3.1795352697372437e-06], "raw_residual": [0.00022911839187145233, 5.905516445636749e-06, 3.916211426258087e-06], "exact_average_residual": [0.00022854655981063843, 5.717389285564423e-06, 3.6330893635749817e-06], "cumulative": {"boundary": [1.3131648302078247e-07, -1.5925616025924683e-06, -4.5355409383773804e-07], "fine_transfer": [-9.47713851928711e-05, 3.1068921089172363e-06, -2.084299921989441e-06], "coarse_transfer": [9.419955313205719e-05, -3.295019268989563e-06, 1.8011778593063354e-06], "rounding": [0.00022911839187145233, 5.905516445636749e-06, 3.916211426258087e-06], "average": [-5.718320608139038e-07, -1.8812716007232666e-07, -2.8312206268310547e-07]}, "checks": {"validity": true, "geometry_unchanged": true, "boundary_count": 48, "collision_count": 72, "local_collision": true, "local_regime": true, "bfl": true, 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diff --git a/research/fine_surface_joint_20261014/suction_boundary.csv b/research/fine_surface_joint_20261014/suction_boundary.csv
new file mode 100644
index 0000000..b870be0
--- /dev/null
+++ b/research/fine_surface_joint_20261014/suction_boundary.csv
@@ -0,0 +1,49 @@
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diff --git a/research/fine_surface_joint_20261014/suction_collisions.csv b/research/fine_surface_joint_20261014/suction_collisions.csv
new file mode 100644
index 0000000..2de48c0
--- /dev/null
+++ b/research/fine_surface_joint_20261014/suction_collisions.csv
@@ -0,0 +1,73 @@
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diff --git a/research/fine_surface_joint_20261014/suction_ledger.csv b/research/fine_surface_joint_20261014/suction_ledger.csv
new file mode 100644
index 0000000..92cf1f4
--- /dev/null
+++ b/research/fine_surface_joint_20261014/suction_ledger.csv
@@ -0,0 +1,25 @@
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diff --git a/research/fine_surface_joint_20261014/suction_propagation.csv b/research/fine_surface_joint_20261014/suction_propagation.csv
new file mode 100644
index 0000000..f017bcc
--- /dev/null
+++ b/research/fine_surface_joint_20261014/suction_propagation.csv
@@ -0,0 +1,97 @@
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+coarse_bulk_u,16,0.00025644070267233306,0.0,0.00025644070267233306,True,True,21.5,15.5,
+coarse_bulk_u,17,0.00024779621047094693,6.606481633104396e-08,0.00024773971117601724,True,True,21.5,16.5,
+coarse_bulk_u,18,0.00023605776538134437,6.929437569595666e-08,0.00023599681787995022,True,True,21.5,17.5,
+coarse_bulk_u,19,0.00022483643371073512,1.0390817551817351e-07,0.00022475474112598463,True,True,21.5,19.5,
+coarse_bulk_u,20,0.00021493179783986402,1.042082306083734e-07,0.0002148440172340466,True,True,22.5,18.5,
+coarse_bulk_u,21,0.00020607683833491475,9.442706670805767e-08,0.00020599766123702618,True,True,21.5,20.5,
+coarse_bulk_u,22,0.0001975946374450119,5.556802130737047e-08,0.0001975402371312418,True,True,22.5,20.5,
+coarse_bulk_u,23,0.00018932913257368715,4.4703464263670685e-08,0.00018936187038743642,True,True,22.5,21.5,
+coarse_bulk_u,24,0.000179693129058515,9.995996742145265e-08,0.00017978823062286703,True,True,22.5,22.5,
+fine_band_neq,1,0.0,3.000928300994632e-09,3.000928300994632e-09,False,False,4.25,4.25,
+fine_band_neq,2,0.0,4.501393077727123e-09,4.501393077727123e-09,False,False,4.25,4.25,
+fine_band_neq,3,0.0,2.069606169774474e-08,2.069606169774474e-08,False,False,4.25,4.25,
+fine_band_neq,4,0.0,4.1392115429639276e-09,4.1392115429639276e-09,False,False,4.25,4.25,
+fine_band_neq,5,0.0,4.1392115429639276e-09,4.1392115429639276e-09,False,False,4.25,4.25,
+fine_band_neq,6,3.733491271140643e-07,9.934099098884985e-09,3.832832262129493e-07,True,True,19.75,13.25,
+fine_band_neq,7,2.0319504568933056e-06,9.934099098884985e-09,2.0418845559921905e-06,True,True,19.75,13.25,
+fine_band_neq,8,5.038458095685261e-06,9.934099098884985e-09,5.048392194784146e-06,True,True,19.75,13.75,
+fine_band_neq,9,7.299560118911863e-06,1.1589783133203468e-08,7.3111499020450665e-06,True,True,19.75,14.25,
+fine_band_neq,10,7.386030289713297e-06,9.106256526614231e-09,7.395136546239911e-06,True,True,19.75,15.25,
+fine_band_neq,11,6.856089636353424e-06,5.794905943989903e-09,6.850294730409434e-06,True,True,19.75,17.25,
+fine_band_neq,12,6.198413803892855e-06,6.622735776451449e-09,6.201725167243044e-06,True,True,19.75,18.25,
+fine_band_neq,13,5.319780258750129e-06,4.139212333997833e-09,5.316468887739401e-06,True,True,19.75,19.25,
+fine_band_neq,14,5.283330124894459e-06,4.967056432825245e-09,5.278363068461633e-06,True,True,19.75,19.75,
+fine_band_neq,15,3.967651562297725e-06,4.553132745832578e-09,3.964340190287796e-06,True,True,19.75,19.75,
+fine_band_neq,16,3.7551803555024854e-06,6.622738135675377e-09,3.74855761736681e-06,True,True,19.75,16.75,
+fine_band_neq,17,3.5764174459163023e-06,6.622736969941201e-09,3.5755896076739013e-06,True,True,19.75,17.75,
+fine_band_neq,18,3.230913338148067e-06,1.7384672978959514e-08,3.2135286651691075e-06,True,True,19.75,18.75,
+fine_band_neq,19,3.160623228692927e-06,9.934106745546067e-09,3.1631067707871274e-06,True,True,19.75,19.75,
+fine_band_neq,20,3.2258282446351316e-06,8.278412177986638e-09,3.217549832457145e-06,True,True,19.75,19.75,
+fine_band_neq,21,2.8042083782819915e-06,1.1589792486832451e-08,2.8124868040602102e-06,True,True,19.75,19.75,
+fine_band_neq,22,2.2509872253939633e-06,1.241763983306221e-09,2.2509872265041864e-06,True,True,19.75,19.75,
+fine_band_neq,23,1.7420757160158118e-06,2.0696062086322797e-09,1.7412478748313198e-06,True,True,19.75,19.75,
+fine_band_neq,24,1.7765396425617475e-06,7.864502313270627e-09,1.7773674825805053e-06,True,True,4.25,8.25,
+transfer_neq,1,0.0,1.5004641487625925e-09,1.5004641487625925e-09,False,False,3.5,3.5,6
+transfer_neq,2,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
+transfer_neq,3,0.0,3.000928290586291e-09,3.000928290586291e-09,False,False,3.5,3.5,6
+transfer_neq,4,0.0,6.881438113781613e-09,6.881438113781613e-09,False,False,3.5,3.5,6
+transfer_neq,5,0.0,6.467520081987477e-09,6.467520081987477e-09,False,False,3.5,3.5,6
+transfer_neq,6,4.1392107713589255e-08,1.7384695072397705e-08,5.877680278598696e-08,False,False,20.5,12.5,1
+transfer_neq,7,1.0066612778220074e-06,1.4901174696935193e-08,1.0215624525189426e-06,True,True,20.5,13.5,1
+transfer_neq,8,5.309127742339492e-06,7.450589978308386e-09,5.316578332317801e-06,True,True,20.5,13.5,1
+transfer_neq,9,1.3828140735375194e-05,4.967061900673642e-09,1.3833107797275868e-05,True,True,20.5,13.5,1
+transfer_neq,10,2.2517463971680196e-05,7.0366557441969846e-09,2.2510427315936e-05,True,True,20.5,13.5,1
+transfer_neq,11,2.6241128339946074e-05,8.692339972804497e-09,2.623243599997327e-05,True,True,20.5,14.5,1
+transfer_neq,12,2.301816285713021e-05,1.0761948318616099e-08,2.3007400908811593e-05,True,True,20.5,14.5,1
+transfer_neq,13,1.7994855878653016e-05,6.6227364148296886e-09,1.7988233142238186e-05,True,True,16.5,20.5,3
+transfer_neq,14,1.325129952600701e-05,3.725288785783043e-09,1.3247574237221227e-05,True,True,17.5,20.5,3
+transfer_neq,15,1.102909472382868e-05,1.7074248230553035e-09,1.1030802148651736e-05,True,True,20.5,20.5,5
+transfer_neq,16,1.0516298765687881e-05,3.777030622292843e-09,1.0512521735065589e-05,True,True,20.5,20.5,5
+transfer_neq,17,7.773419831963446e-06,1.5522043823879006e-09,7.771867627581058e-06,True,True,20.5,20.5,5
+transfer_neq,18,6.4455684595787766e-06,2.4835230261199825e-09,6.4430849365526566e-06,True,True,16.5,3.5,4
+transfer_neq,19,6.882601883972939e-06,4.553130164564045e-09,6.8780487538083745e-06,True,True,16.5,3.5,4
+transfer_neq,20,8.06233390339417e-06,1.6556842147297246e-09,8.0639895876089e-06,True,True,3.5,15.5,2
+transfer_neq,21,9.1730277525931e-06,4.553133203799575e-09,9.1684746193893e-06,True,True,3.5,15.5,2
+transfer_neq,22,9.87202560678857e-06,1.241762831449833e-09,9.87078384395712e-06,True,True,3.5,15.5,2
+transfer_neq,23,9.794260003304078e-06,3.725291089495819e-09,9.790534712214582e-06,True,True,3.5,16.5,2
+transfer_neq,24,8.98628849999028e-06,6.208816516473092e-09,8.992497316506753e-06,True,True,3.5,17.5,2
diff --git a/research/fine_surface_joint_20261014/suction_signals.npz b/research/fine_surface_joint_20261014/suction_signals.npz
new file mode 100644
index 0000000..66d06cf
Binary files /dev/null and b/research/fine_surface_joint_20261014/suction_signals.npz differ
diff --git a/research/fine_surface_joint_20261014/suction_summary.json b/research/fine_surface_joint_20261014/suction_summary.json
new file mode 100644
index 0000000..d70a1d3
--- /dev/null
+++ b/research/fine_surface_joint_20261014/suction_summary.json
@@ -0,0 +1,170 @@
+{
+  "speed": -0.002,
+  "initial_leaf": [
+    560.7500041779131,
+    0.0,
+    0.0
+  ],
+  "final_leaf": [
+    560.6568783186376,
+    -0.014766339212656021,
+    -0.012467360123991966
+  ],
+  "raw_residual": [
+    0.00033393828198313713,
+    2.193264663219452e-07,
+    2.6496127247810364e-07
+  ],
+  "exact_average_residual": [
+    0.00033389730378985405,
+    1.0663643479347229e-07,
+    7.683411240577698e-08
+  ],
+  "cumulative": {
+    "boundary": [
+      -0.0934597565792501,
+      -0.014766445849090815,
+      -0.012467436958104372
+    ],
+    "fine_transfer": [
+      0.06703074648976326,
+      0.011895491741597652,
+      0.010098854079842567
+    ],
+    "coarse_transfer": [
+      -0.06703078746795654,
+      -0.011895604431629181,
+      -0.01009904220700264
+    ],
+    "rounding": [
+      0.00033393828198313713,
+      2.193264663219452e-07,
+      2.6496127247810364e-07
+    ],
+    "average": [
+      -4.0978193283081055e-08,
+      -1.126900315284729e-07,
+      -1.8812716007232666e-07
+    ]
+  },
+  "checks": {
+    "validity": true,
+    "geometry_unchanged": true,
+    "boundary_count": 48,
+    "collision_count": 72,
+    "local_collision": true,
+    "local_regime": true,
+    "bfl": true,
+    "transfer_rounding": true,
+    "interval_closure": true,
+    "cumulative_closure": true,
+    "propagation": true,
+    "drive_sign": true
+  },
+  "max_collision_ratio": 0.5285112236646456,
+  "max_collision_error": 1.6477090769573266e-07,
+  "max_bfl_error": 1.2498588997100768e-08,
+  "max_interval_closure": 0.0,
+  "drive_mass": -0.07426865905109248,
+  "propagation": {
+    "coarse_interface_u": {
+      "threshold": 1e-06,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 7,
+        "signal": 4.091979903802207e-06,
+        "baseline": 2.0116559817931723e-07,
+        "absolute": 3.8910894220610345e-06,
+        "x": 20.5,
+        "y": 13.5
+      },
+      "peak": {
+        "metric": "coarse_interface_u",
+        "time": 14,
+        "signal": 0.0002878189146376881,
+        "baseline": 3.003423681142711e-08,
+        "absolute": 0.0002878487673732557,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "x": 20.5,
+        "y": 15.5
+      }
+    },
+    "coarse_bulk_u": {
+      "threshold": 1e-06,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 8,
+        "signal": 1.0179867624062477e-06,
+        "baseline": 1.005827957173589e-07,
+        "absolute": 9.175116276483961e-07,
+        "x": 13.5,
+        "y": 21.5
+      },
+      "peak": {
+        "metric": "coarse_bulk_u",
+        "time": 16,
+        "signal": 0.00025644070267233306,
+        "baseline": 0.0,
+        "absolute": 0.00025644070267233306,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "x": 21.5,
+        "y": 15.5
+      }
+    },
+    "fine_band_neq": {
+      "threshold": 1e-07,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 6,
+        "signal": 3.733491271140643e-07,
+        "baseline": 9.934099098884985e-09,
+        "absolute": 3.832832262129493e-07,
+        "x": 19.75,
+        "y": 13.25
+      },
+      "peak": {
+        "metric": "fine_band_neq",
+        "time": 10,
+        "signal": 7.386030289713297e-06,
+        "baseline": 9.106256526614231e-09,
+        "absolute": 7.395136546239911e-06,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "x": 19.75,
+        "y": 15.25
+      }
+    },
+    "transfer_neq": {
+      "threshold": 1e-07,
+      "baseline_factor": 10,
+      "first_arrival": {
+        "time": 7,
+        "signal": 1.0066612778220074e-06,
+        "baseline": 1.4901174696935193e-08,
+        "absolute": 1.0215624525189426e-06,
+        "q": 1,
+        "x": 20.5,
+        "y": 13.5
+      },
+      "peak": {
+        "metric": "transfer_neq",
+        "time": 11,
+        "signal": 2.6241128339946074e-05,
+        "baseline": 8.692339972804497e-09,
+        "absolute": 2.623243599997327e-05,
+        "any_crossed": true,
+        "peak_crossed": true,
+        "q": 1,
+        "x": 20.5,
+        "y": 14.5
+      }
+    }
+  },
+  "raw_minus_zero": [
+    0.0001048198901116848,
+    -5.686189979314804e-06,
+    -3.6512501537799835e-06
+  ]
+}
diff --git a/research/fine_surface_joint_20261014/validate.py b/research/fine_surface_joint_20261014/validate.py
new file mode 100644
index 0000000..37441fe
--- /dev/null
+++ b/research/fine_surface_joint_20261014/validate.py
@@ -0,0 +1,347 @@
+"""Isolated, pre-registered 24-interval validation; never imported by pytest."""
+import csv
+import hashlib
+import importlib.util
+import json
+import struct
+from pathlib import Path
+from unittest.mock import patch
+
+import numpy as np
+
+ROOT = Path('/home/frank14f/CelerisLab')
+OUT = Path(__file__).resolve().parent
+spec = importlib.util.spec_from_file_location('accepted_hooks', ROOT/'tests/validation/multigrid/test_fine_surface_gpu.py')
+h = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(h)
+EPS = np.finfo(np.float32).eps
+M = h.MOMENTS
+
+
+def save(name, obj):
+    text = json.dumps(obj, indent=2, allow_nan=False)+'\n'
+    assert len(text) <= 40000, (name, len(text))
+    (OUT/name).write_text(text)
+
+
+def table(name, rows):
+    with (OUT/name).open('w') as file:
+        writer = csv.DictWriter(file, fieldnames=list(rows[0]))
+        writer.writeheader()
+        writer.writerows(rows)
+    assert (OUT/name).stat().st_size <= 40000
+
+
+def vec(row, prefix, values):
+    row.update({prefix+'_'+axis: float(value) for axis, value in zip(('m', 'px', 'py'), values)})
+
+
+def equilibrium(values):
+    a = values.astype(float)
+    rho = a.sum(axis=0)
+    u = M[1:]@a/rho
+    cu = h.CX[:, None]*u[0]+h.CY[:, None]*u[1]
+    eq = h.W[:, None]*rho*(1+3*cu+4.5*cu*cu-1.5*(u*u).sum(axis=0))
+    return eq, u, rho
+
+
+def pull(a):
+    return np.stack([np.roll(a[q], (h.CY[q], h.CX[q]), (0, 1)) for q in range(9)])
+
+
+def collision(incoming, output, omega, area):
+    """Local observed drift; no access to global initial/final states or ledger."""
+    a, b = incoming.astype(float), output.astype(float)
+    eq, u, rho = equilibrium(a)
+    ideal = (1-omega)*a+omega*eq
+    tolerance = 8*EPS*abs(a)
+    error = abs(b-ideal)
+    # Independent local FP64 oracle plus a measured (not inferred) drift.
+    return dict(drift=area*(M@(b-a).sum(axis=1)),
+                ideal_defect=area*(M@(ideal-a).sum(axis=1)),
+                measured_rounding=area*(M@(b-ideal).sum(axis=1)),
+                max_error=float(error.max()), max_ratio=float((error/tolerance).max()),
+                regime=bool(np.isfinite(b).all() and np.all(a>0) and np.all(b>0) and np.all((rho>.9)&(rho<1.1))
+                            and np.max(np.linalg.norm(u, axis=0))<.05))
+
+
+def coarse_arrivals(before, fine, active, p):
+    """Independent midpoint map; FP32 addition order checked against actual map."""
+    got = pull(before)
+    ideal = got.astype(float)
+    targets, sources = [], []
+    for y, x in np.argwhere(active):
+        for q in range(1, 9):
+            if 4 <= x+.5-h.CX[q]/2 <= 20 and 4 <= y+.5-h.CY[q]/2 <= 20:
+                a, b = 4+2*(x-4), 4+2*(y-4)
+                children = fine[q, b:b+2, a:a+2].ravel()
+                assert len(children) == 4 and np.isfinite(children).all()
+                got[q, y, x] = np.float32(.25)*(((children[0]+children[1])+children[2])+children[3])
+                ideal[q, y, x] = children.astype(float).sum()/4
+                targets.append(q*576+y*24+x)
+                sources.append([q*1600+(b+dy)*40+a+dx for dy in (0, 1) for dx in (0, 1)])
+    order = np.argsort(targets)
+    porder = np.argsort(p.coalesce_coarse)
+    np.testing.assert_array_equal(np.array(targets)[order], p.coalesce_coarse[porder])
+    np.testing.assert_array_equal(np.array(sources)[order], p.coalesce_fine[porder])
+    assert np.isfinite(got[:, active]).all()
+    flux = (got[:, active].astype(float)-before[:, active]).sum(axis=1)
+    rounding = (got[:, active].astype(float)-ideal[:, active]).sum(axis=1)
+    children = fine.ravel()[p.coalesce_fine]
+    bound = 3*(EPS/2)/(1-3*(EPS/2))*np.abs(children.astype(float)).sum(axis=1)/4
+    differences = abs(got.ravel()[p.coalesce_coarse]-ideal.ravel()[p.coalesce_coarse])
+    return got, M@flux, M@rounding, float(np.max(differences/bound))
+
+
+def observation(values, mask):
+    eq, u, _ = equilibrium(values[:, mask])
+    return u, values[:, mask].astype(float)-eq
+
+
+def run(speed, label):
+    cfg = h.LBMConfig(nx=24, ny=24, viscosity=.05, velocity=0, rho=1)
+    cmask = np.ones((24, 24), bool)
+    cmask[4:20, 4:20] = False
+    source = h.object_spec(speed)
+    state = vars(source.state).copy()
+    ledger_rows, collision_rows, boundary_rows = [], [], []
+    trace = []
+    with h.CudaContext(0) as context:
+        with h.implementation.FixedPatchStepper(cfg, h.BOUNDS, context=context, fine_objects=[source]) as backend, context.activate():
+            c, f = backend._levels
+            cl, p = backend._fine_curved, backend.patch
+            geometry = {name: getattr(cl, name).copy() for name in h.GEOMETRY}
+            flags = backend.fine_boundary.flags.copy().reshape(40, 40)
+            solid = (flags & h.SOLID) != 0
+            active = backend._fine_leaf.copy()
+            fine_mesh = p.fine_kind == 0
+            band = active & np.logical_or.reduce([~np.roll(fine_mesh, (cy, cx), (0, 1))
+                                                  for cx, cy in zip(h.CX[1:], h.CY[1:])])
+            interface = np.zeros(576, bool)
+            interface[p.coalesce_coarse % 576] = True
+            interface = interface.reshape(24, 24)
+            bulk = cmask & ~interface
+            if speed == 0:
+                def coords(mask, dx, origin):
+                    yx = np.argwhere(mask)
+                    return ((yx[:, ::-1]+.5)*dx+np.array(origin)).tolist()
+                save('regions.json', dict(coarse_interface=coords(interface, 1, (0, 0)),
+                     coarse_bulk=coords(bulk, 1, (0, 0)), fine_band=coords(band, .5, (2, 2)),
+                     transfer_slots=[dict(q=int(slot//576), x=float(slot%24+.5),
+                     y=float((slot%576)//24+.5)) for slot in p.coalesce_coarse]))
+            backend.initialize(h.rest((24, 24)), h.rest((40, 40)))
+            initial = backend.download()
+            initial_m = M@(initial[0][:, cmask].sum(axis=1, dtype=float)
+                           +.25*initial[1][:, active].sum(axis=1, dtype=float))
+            previous = initial_m.copy()
+            totals = {name: np.zeros(3) for name in ('boundary', 'fine_transfer', 'coarse_transfer', 'rounding', 'average')}
+            interval = None
+            orig_b, orig_f, orig_c = backend._curved, f.kernel, c.kernel
+            omegas = []
+            for level, tau in ((c, p.tau_coarse), (f, p.tau_fine)):
+                pointer, size = level.module.get_global('d_params')
+                assert size == 20
+                omega, fx, fy, fz, count = struct.unpack('=ffffI', h.read(pointer, (size,), np.uint8).tobytes())
+                assert omega == float(np.float32(1/tau)) and (fx, fy, fz) == (0., 0., 0.)
+                omegas.append(omega)
+            omega_c, omega_f = omegas
+
+            def curved(*args, **kwargs):
+                backend._stream.synchronize()
+                before = h.read(args[0], f.shape)
+                expected = h.reflection_oracle(before, cl, speed)
+                passive = h.reflection_oracle(before, cl, None, verify_projection=False)
+                orig_b(*args, **kwargs)
+                backend._stream.synchronize()
+                staged = h.read(args[0], f.shape)
+                d, k = cl.dir.astype(int), cl.fluid_idx.astype(int)
+                values = staged.reshape(9, -1)[h.OPP[d], k+h.CX[d]+40*h.CY[d]]
+                np.testing.assert_array_equal(staged[:, active], before[:, active])
+                b, tr, _ = h.fine_flux(before, staged, active, solid)
+                exchange = h.read(cl.link_exchange_gpu, (cl.count, 3)).astype(float).sum(axis=0)
+                row = dict(step=interval['step'], substep=len(interval['boundary'])+1,
+                           time=interval['step']-1+.5*(len(interval['boundary'])+1),
+                           bfl_error=float(abs(values-expected).max()),
+                           drive_mass=.25*float((values-passive).sum()),
+                           latest_body_impulse_x=float(.25*exchange[0]), latest_body_impulse_y=float(.25*exchange[1]),
+                           latest_body_angular_impulse=float(.125*exchange[2]))
+                vec(row, 'boundary', .25*(M@b))
+                vec(row, 'fine_transfer', .25*(M@tr))
+                interval['boundary'].append(.25*(M@b))
+                interval['fine_transfer'].append(.25*(M@tr))
+                boundary_rows.append(row)
+
+            def fine(*args, **kwargs):
+                backend._stream.synchronize()
+                staged = h.read(args[0], f.shape)
+                incoming = pull(staged)[:, active]
+                orig_f(*args, **kwargs)
+                backend._stream.synchronize()
+                after = h.read(args[1], f.shape)
+                assert np.isfinite(after[:, active]).all() and np.isnan(after[:, solid]).all()
+                outer = np.ones((40, 40), bool)
+                outer[2:-2, 2:-2] = False
+                assert np.isnan(after[:, outer]).all()
+                # Inner ghost is stream-only: compare including legitimate NaNs.
+                ghost = ~fine_mesh & ~outer
+                np.testing.assert_array_equal(after[:, ghost], pull(staged)[:, ghost])
+                stat = collision(incoming, after[:, active], omega_f, .25)
+                interval['collision'].append(stat)
+                row = dict(step=interval['step'], level='fine', substep=len(interval['collision']),
+                           max_error=stat['max_error'], max_ratio=stat['max_ratio'], regime=stat['regime'])
+                for key in ('drift', 'ideal_defect', 'measured_rounding'):
+                    vec(row, key, stat[key])
+                collision_rows.append(row)
+
+            def coarse(*args, **kwargs):
+                backend._stream.synchronize()
+                before, fine = h.read(args[0], c.shape), h.read(args[2], f.shape)
+                incoming, flux, avg, ratio = coarse_arrivals(before, fine, cmask, p)
+                interval['coarse_transfer'], interval['average'] = flux, avg
+                interval['average_ratio'] = ratio
+                eq, _, _ = equilibrium(incoming[:, cmask])
+                neq = np.full(c.shape, np.nan)
+                neq[:, cmask] = incoming[:, cmask].astype(float)-eq
+                interval['transfer_neq'] = neq.ravel()[p.coalesce_coarse].copy()
+                orig_c(*args, **kwargs)
+                backend._stream.synchronize()
+                after = h.read(args[1], c.shape)
+                assert np.isfinite(after[:, cmask]).all() and np.isnan(after[:, ~cmask]).all()
+                stat = collision(incoming[:, cmask], after[:, cmask], omega_c, 1.)
+                interval['collision'].append(stat)
+                row = dict(step=interval['step'], level='coarse', substep=1,
+                           max_error=stat['max_error'], max_ratio=stat['max_ratio'], regime=stat['regime'])
+                for key in ('drift', 'ideal_defect', 'measured_rounding'):
+                    vec(row, key, stat[key])
+                collision_rows.append(row)
+
+            with patch.object(backend, '_curved', curved), patch.object(f, 'kernel', fine), patch.object(c, 'kernel', coarse):
+                for n in range(1, 25):
+                    interval = dict(step=n, boundary=[], fine_transfer=[], collision=[])
+                    backend.step(1)
+                    coarse_g, fine_g = backend.download()
+                    assert np.isfinite(coarse_g[:, cmask]).all() and np.isnan(coarse_g[:, ~cmask]).all()
+                    assert np.isfinite(fine_g[:, active]).all() and np.isnan(fine_g[:, ~active]).all()
+                    assert len(interval['boundary']) == 2 and len(interval['collision']) == 3
+                    current = M@(coarse_g[:, cmask].sum(axis=1, dtype=float)
+                                 +.25*fine_g[:, active].sum(axis=1, dtype=float))
+                    b = sum(interval['boundary'])
+                    ft = sum(interval['fine_transfer'])
+                    ct = interval['coarse_transfer']
+                    drift = sum(s['drift'] for s in interval['collision'])
+                    raw = current-previous-b-ft-ct
+                    row = dict(step=n, time=n, average_bound_ratio=interval['average_ratio'])
+                    for key, value in (('leaf', current), ('delta', current-previous), ('boundary', b),
+                                       ('fine_transfer', ft), ('coarse_transfer', ct), ('raw', raw),
+                                       ('collision_drift', drift), ('average_rounding', interval['average']),
+                                       ('closure', raw-drift)):
+                        vec(row, key, value)
+                    for key, val in (('boundary', b), ('fine_transfer', ft), ('coarse_transfer', ct),
+                                     ('rounding', drift), ('average', interval['average'])):
+                        totals[key] += val
+                    cumulative = current-initial_m-totals['boundary']-totals['fine_transfer']-totals['coarse_transfer']
+                    vec(row, 'cumulative_raw', cumulative)
+                    vec(row, 'cumulative_closure', cumulative-totals['rounding'])
+                    ledger_rows.append(row)
+                    iu, ine = observation(coarse_g, interface)
+                    bu, _ = observation(coarse_g, bulk)
+                    fu, fne = observation(fine_g, band)
+                    trace.append(dict(coarse_interface_u=iu, coarse_bulk_u=bu,
+                                      fine_band_neq=fne, transfer_neq=interval['transfer_neq']))
+                    previous = current
+                    print(label, n, 'raw', raw.tolist(), 'cumulative_raw', cumulative.tolist(), flush=True)
+            assert backend.step_count == 24 and len(boundary_rows) == 48 and len(collision_rows) == 72
+            for name, val in geometry.items():
+                np.testing.assert_array_equal(getattr(cl, name), val)
+            np.testing.assert_array_equal(flags.ravel(), backend.fine_boundary.flags)
+            assert vars(source.state) == state and source.geometry.center == source.center
+    table(label+'_ledger.csv', ledger_rows)
+    table(label+'_collisions.csv', collision_rows)
+    table(label+'_boundary.csv', boundary_rows)
+    # Small compressed diagnostic arrays, not full-field population snapshots.
+    np.savez_compressed(OUT/(label+'_signals.npz'), **{key: np.stack([t[key] for t in trace]) for key in trace[0]})
+    final = ledger_rows[-1]
+    checks = dict(validity=True, geometry_unchanged=True, boundary_count=len(boundary_rows),
+                  collision_count=len(collision_rows),
+                  local_collision=max(r['max_ratio'] for r in collision_rows)<=1,
+                  local_regime=all(r['regime'] for r in collision_rows),
+                  bfl=max(r['bfl_error'] for r in boundary_rows)<=1e-7,
+                  transfer_rounding=max(r['average_bound_ratio'] for r in ledger_rows)<=1,
+                  interval_closure=max(abs(r['closure_'+k]) for r in ledger_rows for k in ('m','px','py'))<=1e-10,
+                  cumulative_closure=max(abs(r['cumulative_closure_'+k]) for r in ledger_rows for k in ('m','px','py'))<=1e-9)
+    return trace, dict(speed=speed, initial_leaf=initial_m.tolist(), final_leaf=previous.tolist(),
+                      raw_residual=[final['cumulative_raw_'+k] for k in ('m','px','py')],
+                      exact_average_residual=(np.array([final['cumulative_raw_'+k] for k in ('m','px','py')])+totals['average']).tolist(),
+                      cumulative={k: v.tolist() for k,v in totals.items()}, checks=checks,
+                      max_collision_ratio=max(r['max_ratio'] for r in collision_rows),
+                      max_collision_error=max(r['max_error'] for r in collision_rows),
+                      max_bfl_error=max(r['bfl_error'] for r in boundary_rows),
+                      max_interval_closure=max(abs(r['closure_'+k]) for r in ledger_rows for k in ('m','px','py')),
+                      drive_mass=sum(r['drive_mass'] for r in boundary_rows))
+
+
+def compare(driven, zero, label):
+    regions = json.loads((OUT/'regions.json').read_text())
+    summaries, rows = {}, []
+    for key in driven[0]:
+        velocity = key.endswith('_u')
+        floor = 1e-6 if velocity else 1e-7
+        first, peak = None, None
+        for n, (d, z) in enumerate(zip(driven, zero), 1):
+            difference = d[key]-z[key]
+            if velocity:
+                signal = np.linalg.norm(difference, axis=0)
+                base = np.linalg.norm(z[key], axis=0)
+                absolute = np.linalg.norm(d[key], axis=0)
+            elif difference.ndim == 2:
+                signal, base, absolute = abs(difference).max(axis=0), abs(z[key]).max(axis=0), abs(d[key]).max(axis=0)
+            else:
+                signal, base, absolute = abs(difference), abs(z[key]), abs(d[key])
+            eligible = (signal>floor)&(signal>10*base)
+            idx = int(np.argmax(signal))
+            def location(i):
+                region = key.removesuffix('_u').removesuffix('_neq')
+                if key == 'transfer_neq':
+                    return regions['transfer_slots'][i]
+                return dict(zip(('x','y'), regions[region][i]))
+            record = dict(metric=key, time=n, signal=float(signal[idx]), baseline=float(base[idx]),
+                          absolute=float(absolute[idx]), any_crossed=bool(eligible.any()), peak_crossed=bool(eligible[idx]), **location(idx))
+            rows.append(record)
+            if peak is None or record['signal']>peak['signal']:
+                peak = record.copy()
+            if first is None and eligible.any():
+                i = int(np.argmax(np.where(eligible, signal, -1)))
+                first = dict(time=n, signal=float(signal[i]), baseline=float(base[i]), absolute=float(absolute[i]), **location(i))
+        summaries[key] = dict(threshold=floor, baseline_factor=10, first_arrival=first, peak=peak)
+    # q is present only for transfer populations; normalize CSV columns.
+    for row in rows:
+        row.setdefault('q', '')
+    table(label+'_propagation.csv', rows)
+    return summaries
+
+
+def main():
+    assert Path(h.CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
+    assert Path(h.compiler._KERNEL_DIR).resolve() == ROOT/'src/CelerisLab/lbm/kernels'
+    frozen = json.loads((OUT/'frozen.json').read_text())
+    for path, digest in frozen['hashes'].items():
+        assert hashlib.sha256((ROOT/path).read_bytes()).hexdigest() == digest, path
+    print('SOURCE', h.CelerisLab.__file__, 'CRITERIA', frozen['frozen_utc'], flush=True)
+    traces, summaries = {}, {}
+    for label, speed in (('zero', 0.), ('blow', .002), ('suction', -.002)):
+        traces[label], summaries[label] = run(speed, label)
+        save(label+'_summary.json', summaries[label])
+    for label in ('blow','suction'):
+        summaries[label]['propagation'] = compare(traces[label], traces['zero'], label)
+        summaries[label]['raw_minus_zero'] = (np.array(summaries[label]['raw_residual'])-summaries['zero']['raw_residual']).tolist()
+        summaries[label]['checks']['propagation'] = all(s['first_arrival'] is not None for s in summaries[label]['propagation'].values())
+        summaries[label]['checks']['drive_sign'] = summaries[label]['speed']*summaries[label]['drive_mass']>0
+        save(label+'_summary.json', summaries[label])
+    passed = all(all(v for k,v in s['checks'].items() if k not in ('boundary_count','collision_count')) for s in summaries.values())
+    save('result.json', dict(passed=passed, runs=summaries))
+    print('RESULT', json.dumps(dict(passed=passed, summaries=summaries)), flush=True)
+    raise SystemExit(0 if passed else 1)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/research/fine_surface_joint_20261014/zero_boundary.csv b/research/fine_surface_joint_20261014/zero_boundary.csv
new file mode 100644
index 0000000..65c92e4
--- /dev/null
+++ b/research/fine_surface_joint_20261014/zero_boundary.csv
@@ -0,0 +1,49 @@
+step,substep,time,bfl_error,drive_mass,latest_body_impulse_x,latest_body_impulse_y,latest_body_angular_impulse,boundary_m,boundary_px,boundary_py,fine_transfer_m,fine_transfer_px,fine_transfer_py
+1,1,0.5,1.862645149230957e-09,-3.725290298461914e-09,0.0,0.0,0.0,-3.725290298461914e-09,0.0,0.0,0.0,0.0,0.0
+1,2,1.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.557652235031128e-07,0.0,0.0
+2,1,1.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-8.530914783477783e-07,-7.450580596923828e-09,-1.6763806343078613e-07
+2,2,2.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-1.3401731848716736e-06,2.7939677238464355e-09,-9.313225746154785e-10
+3,1,2.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-1.6577541828155518e-06,1.5832483768463135e-07,1.5832483768463135e-07
+3,2,3.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-1.982320100069046e-06,3.1152740120887756e-07,3.096647560596466e-07
+4,1,3.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.2121315598487854e-06,3.5297125577926636e-07,3.762543201446533e-07
+4,2,4.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.698747605085373e-06,-3.585591912269592e-08,1.909211277961731e-08
+5,1,4.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.6563724279403687e-06,5.550682544708252e-07,2.4121254682540894e-07
+5,2,5.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-3.6312267184257507e-06,5.122274160385132e-07,2.2258609533309937e-07
+6,1,5.5,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-2.8940849006175995e-06,5.164183676242828e-07,3.213062882423401e-08
+6,2,6.0,7.450580596923828e-09,1.4901161193847656e-08,0.0,0.0,0.0,1.4901161193847656e-08,0.0,0.0,-2.759043127298355e-06,1.4202669262886047e-07,-9.173527359962463e-08
+7,1,6.5,7.450580596923828e-09,1.2056459275378018e-08,2.60770320892334e-08,2.60770320892334e-08,0.0,2.2351741790771484e-08,-2.9802322387695312e-08,-2.9802322387695312e-08,-2.505723387002945e-06,1.41095370054245e-07,1.909211277961731e-08
+7,2,7.0,3.3177493669045433e-09,8.59302214106794e-09,6.146728992462158e-08,3.5390257835388184e-08,0.0,5.634501576423645e-08,-6.565824151039124e-08,-3.119930624961853e-08,-2.1560117602348328e-06,9.872019290924072e-08,-7.171183824539185e-08
+8,1,7.5,3.3720288783456454e-09,5.322996345785702e-09,-1.1175870895385742e-08,-3.725290298461914e-09,-1.3969838619232178e-09,7.031485438346863e-08,1.1641532182693481e-08,1.0710209608078003e-08,-2.4740584194660187e-06,2.6496127247810364e-07,1.103617250919342e-07
+8,2,8.0,5.7645661577510054e-09,9.257705106853475e-09,8.568167686462402e-08,6.891787052154541e-08,5.587935447692871e-09,6.658956408500671e-08,-8.242204785346985e-08,-6.100162863731384e-08,-2.444721758365631e-06,1.7601996660232544e-07,1.5832483768463135e-08
+9,1,8.5,5.7645661577510054e-09,1.0978071169134851e-08,1.1548399925231934e-07,1.043081283569336e-07,2.3094196555106805e-09,3.166496753692627e-08,-1.1082738637924194e-07,-1.0710209608078003e-07,-2.629123628139496e-06,1.7415732145309448e-07,-9.313225746154785e-08
+9,2,9.0,6.9608347974536855e-09,7.898425626214067e-09,1.3131648302078247e-07,1.648440957069397e-07,6.947145747560057e-09,3.119930624961853e-08,-1.19674950838089e-07,-1.578591763973236e-07,-2.517830580472946e-06,1.7741695046424866e-07,-1.0477378964424133e-07
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+11,1,10.5,5.7645661577510054e-09,8.417366170396234e-09,3.073364496231079e-08,1.4062970876693726e-07,5.2116290616410765e-08,-5.541369318962097e-08,-2.2817403078079224e-08,-1.4295801520347595e-07,-2.542976289987564e-06,-1.0943040251731873e-07,-1.3923272490501404e-07
+11,2,11.0,8.646849236626508e-09,4.201981729581861e-09,2.0489096641540527e-08,6.51925802230835e-08,2.9745662044611265e-08,-1.3969838619232178e-08,-2.0489096641540527e-08,-7.264316082000732e-08,-2.610962837934494e-06,2.561137080192566e-08,-1.2153759598731995e-07
+12,1,11.5,7.450580596923828e-09,6.251696621321912e-09,-2.3283064365386963e-08,2.514570951461792e-08,-8.029562570399662e-09,-2.9802322387695312e-08,2.7939677238464355e-08,-2.7939677238464355e-08,-2.630986273288727e-06,-2.60770320892334e-08,-1.0337680578231812e-07
+12,2,12.0,5.7645661577510054e-09,2.728442157970412e-09,1.3969838619232178e-08,4.377216100692749e-08,3.1274215439580644e-09,-6.51925802230835e-09,-1.1175870895385742e-08,-4.377216100692749e-08,-2.6319175958633423e-06,1.4901161193847656e-08,-1.4528632164001465e-07
+13,1,12.5,5.7645661577510054e-09,-9.308885346587248e-11,-1.5832483768463135e-08,-1.3969838619232178e-08,-5.176395001527112e-08,-2.1420419216156006e-08,2.2351741790771484e-08,7.450580596923828e-09,-2.5229528546333313e-06,-1.30385160446167e-07,-1.94646418094635e-07
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diff --git a/research/fine_surface_joint_20261014/zero_collisions.csv b/research/fine_surface_joint_20261014/zero_collisions.csv
new file mode 100644
index 0000000..027cb8f
--- /dev/null
+++ b/research/fine_surface_joint_20261014/zero_collisions.csv
@@ -0,0 +1,73 @@
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diff --git a/research/fine_surface_joint_20261014/zero_ledger.csv b/research/fine_surface_joint_20261014/zero_ledger.csv
new file mode 100644
index 0000000..34a99bb
--- /dev/null
+++ b/research/fine_surface_joint_20261014/zero_ledger.csv
@@ -0,0 +1,25 @@
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diff --git a/research/fine_surface_joint_20261014/zero_signals.npz b/research/fine_surface_joint_20261014/zero_signals.npz
new file mode 100644
index 0000000..a966f09
Binary files /dev/null and b/research/fine_surface_joint_20261014/zero_signals.npz differ
diff --git a/research/fine_surface_joint_20261014/zero_summary.json b/research/fine_surface_joint_20261014/zero_summary.json
new file mode 100644
index 0000000..6e033f9
--- /dev/null
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new file mode 100644
index 0000000..91ad9c4
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+  "new_source": "examples/fixed_patch_jet.py"
+}
diff --git a/research/fixed_patch_jet_20261013/before.json b/research/fixed_patch_jet_20261013/before.json
new file mode 100644
index 0000000..06e1b62
--- /dev/null
+++ b/research/fixed_patch_jet_20261013/before.json
@@ -0,0 +1,8 @@
+{
+  "utc": "2026-10-13T11:37:44.074597+00:00",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "gpus": "index, uuid, name, memory.used [MiB], memory.free [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
+  "ram_available_bytes": 64097140736
+}
diff --git a/research/fixed_patch_jet_20261013/fixed_patch_jet.py b/research/fixed_patch_jet_20261013/fixed_patch_jet.py
new file mode 100644
index 0000000..6fbdcd9
--- /dev/null
+++ b/research/fixed_patch_jet_20261013/fixed_patch_jet.py
@@ -0,0 +1,179 @@
+"""Low-Re startup flow in an x-periodic confined domain; nozzle remains coarse.
+
+From this checkout, after checking the selected physical GPU is idle:
+  PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_jet.py --output /tmp/patch-jet
+
+The fixed-amplitude start includes acoustic transients, not a developed jet.
+Only native leaf cells are plotted. No interpolation, restart or flow oracle.
+"""
+import argparse
+from dataclasses import replace
+import json
+import os
+from pathlib import Path
+import tempfile
+import time
+
+import numpy as np
+
+import CelerisLab
+from CelerisLab.config import load_lbm_config
+from CelerisLab.cuda.context import CudaContext
+from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
+from CelerisLab.lbm.refinement import ACTIVE
+from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
+
+BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
+TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
+
+
+def measure(arrays, masks, centers, initial_mass):
+    fields = []
+    for array, mask in zip(arrays, masks):
+        if not np.isfinite(array[:, mask]).all():
+            raise RuntimeError("Nonfinite leaf populations")
+        field = np.full((*mask.shape, 3), np.nan)
+        field[mask] = [compute_macro_from_ddf(f) for f in array[:, mask].T]
+        fields.append(field)
+    leaves = np.concatenate([f[m] for f, m in zip(fields, masks)])
+    speed = np.hypot(leaves[:, 1], leaves[:, 2])
+    mass = sum(area*a[:, m].sum(dtype=np.float64)
+               for area, a, m in zip((1, .25), arrays, masks))
+    record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
+                  rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
+                  measured_Ma=float(speed.max()*np.sqrt(3)),
+                  density_deviation=float(np.abs(leaves[:, 0]-1).max()),
+                  discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
+    if not record['finite'] or record['rho_min'] <= 0 or record['measured_Ma'] > MAX_MACH:
+        raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
+    walls = fields[0][[1, -2]]
+    record['macro_sum_rho_v_bottom_top'] = (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()
+    record['centerline'] = []
+    for level, y in ((0, 3.5), (1, 8.25), (1, 16.25), (0, 32.5)):
+        xs, ys = centers[level]
+        columns = np.argsort(np.abs(xs-24))[:2]
+        row = int(np.flatnonzero(ys == y)[0])
+        values = fields[level][row, columns].mean(axis=0)
+        record['centerline'].append(dict(level=level, x=24, y=y,
+            sampled_x=sorted(xs[columns].tolist()), rule='arithmetic mean of two neighboring native columns',
+            rho_ux_uy=values.tolist()))
+    return fields, record
+
+
+def draw(out, snapshots, masks, centers):
+    import matplotlib
+    matplotlib.use('Agg')
+    import matplotlib.pyplot as plt
+    from matplotlib.collections import PolyCollection
+
+    def decorate(ax):
+        ax.set(xlim=(0, 48), ylim=(1.5, 46.5), aspect='equal', xlabel='X', ylabel='Y')
+        ax.plot([16, 32, 32, 16, 16], [4, 4, 28, 28, 4], color='tab:red', lw=1)
+        ax.axhline(1.5, color='black', lw=1)
+        ax.axhline(46.5, color='black', lw=1, ls='--')
+        ax.plot([18, 30], [1.5, 1.5], color='tab:orange', lw=4, clip_on=False)
+
+    fig, ax = plt.subplots(figsize=(6, 6), constrained_layout=True)
+    for mask, (xs, ys), dx in zip(masks, centers, (1, .5)):
+        yy, xx = np.meshgrid(ys, xs, indexing='ij')
+        cells = np.stack((xx[mask], yy[mask]), axis=-1)
+        vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
+        ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
+    decorate(ax)
+    ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\nRed: internal patch; orange: coarse slot; dashed: reservoir')
+    fig.savefig(out/'layout.png', dpi=150)
+    plt.close(fig)
+    vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
+                    for fields in snapshots for f in fields))
+    fig, axes = plt.subplots(1, 3, figsize=(12, 4.8), constrained_layout=True)
+    for ax, step, fields in zip(axes, TIMES, snapshots):
+        for field, mask, (xs, ys), dx in zip(fields, masks, centers, (1, .5)):
+            speed = np.ma.masked_where(~mask, np.hypot(field[..., 1], field[..., 2])/AMPLITUDE)
+            image = ax.pcolormesh(np.r_[xs-dx/2, xs[-1]+dx/2],
+                                 np.r_[ys-dx/2, ys[-1]+dx/2], speed,
+                                 shading='flat', cmap='viridis', vmin=0, vmax=vmax, rasterized=True)
+            stride = int(4/dx)
+            yy, xx = np.meshgrid(ys, xs, indexing='ij')
+            selection = np.zeros_like(mask)
+            selection[::stride, ::stride] = mask[::stride, ::stride]
+            ax.quiver(xx[selection], yy[selection], field[..., 1][selection], field[..., 2][selection],
+                      angles='xy', scale_units='xy', scale=AMPLITUDE/3, width=.005, color='white')
+        decorate(ax)
+        ax.set_title(f'coarse t={step}, fine steps={2*step}')
+    fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
+    fig.suptitle('Low-Re startup flow in an x-periodic confined domain\nFixed-amplitude start includes acoustic transients; not steady/developed')
+    fig.savefig(out/'velocity.png', dpi=150)
+    plt.close(fig)
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('--output', type=Path, required=True)
+    out = parser.parse_args().output.resolve()
+    root = Path(__file__).resolve().parents[1]
+    if Path(CelerisLab.__file__).resolve() != root/'src/CelerisLab/__init__.py':
+        raise RuntimeError(f'Set PYTHONPATH to {root / "src"}')
+    out.mkdir(parents=True, exist_ok=False)
+    cfg = replace(load_lbm_config(str(root/'src/CelerisLab/configs/config_lbm.json')),
+                  nx=48, ny=48, viscosity=.1, velocity=0., rho=1., wall_slot_width=WIDTH,
+                  wall_normal_velocity=AMPLITUDE, y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
+                  lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
+                  store_precision='FP32', ddf_shifting=False, les_enabled=False)
+    report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
+                              rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
+                  guards=dict(check_every=50, positive_density=True, finite=True,
+                              max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
+                  notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
+                        'Boundary rho*v is a macro measurement, not a closed population budget.',
+                  samples=[], status='running', last_synchronized_coarse_step=0)
+    start, run = time.monotonic(), None
+    try:
+        with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
+                coarse_boundary='slot_reservoir') as run:
+            p = run.patch
+            masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
+            masks[0][[0, -1]] = False
+            masks[0][4:28, 16:32] = False
+            centers = [(origin[0]+dx*(np.arange(shape[1])+.5),
+                        origin[1]+dx*(np.arange(shape[0])+.5))
+                       for shape, origin, dx in ((p.coarse_shape, (0, 0), 1),
+                                                 (p.fine_shape, p.fine_origin, .5))]
+            initial = [np.broadcast_to(compute_feq_d2q9(1., 0., 0.)[:, None, None], (9, *m.shape)).copy()
+                       for m in masks]
+            for x in range(cfg.nx):
+                v = AMPLITUDE*max(0., 1-((2*x-(cfg.nx-1))/WIDTH)**2)**2
+                initial[0][:, 1, x] = compute_feq_d2q9(1., 0., v)
+            run.initialize(*initial)
+            mass0 = sum(area*a[:, m].sum(dtype=np.float64)
+                        for area, a, m in zip((1, .25), initial, masks))
+            snapshots = []
+            for step in range(0, TIMES[-1]+1, 50):
+                if time.monotonic()-start > MAX_SECONDS:
+                    raise TimeoutError('120 second demonstration limit reached')
+                if step:
+                    run.step(50)
+                report['last_synchronized_coarse_step'] = run.step_count
+                fields, sample = measure(run.download(), masks, centers, mass0)
+                print(f'step={step} rho=[{sample["rho_min"]:.7g},{sample["rho_max"]:.7g}] '
+                      f'Ma={sample["measured_Ma"]:.7g}', flush=True)
+                if step in TIMES:
+                    sample.update(coarse_steps=step, fine_steps=2*step)
+                    report['samples'].append(sample)
+                    snapshots.append(fields)
+        with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
+            os.environ['MPLCONFIGDIR'] = cache
+            draw(out, snapshots, masks, centers)
+        report['status'] = 'complete'
+    except BaseException as exc:
+        report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
+                      last_synchronized_coarse_step=run.step_count if run is not None else 0)
+        raise
+    finally:
+        report['elapsed_seconds'] = time.monotonic()-start
+        (out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
+        print(f'{report["status"]}: last synchronized coarse step '
+              f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/research/fixed_patch_jet_20261013/incremental.patch b/research/fixed_patch_jet_20261013/incremental.patch
new file mode 100644
index 0000000..b43129d
--- /dev/null
+++ b/research/fixed_patch_jet_20261013/incremental.patch
@@ -0,0 +1,182 @@
+--- /dev/null
++++ b/examples/fixed_patch_jet.py
+@@ -0,0 +1,179 @@
++"""Low-Re startup flow in an x-periodic confined domain; nozzle remains coarse.
++
++From this checkout, after checking the selected physical GPU is idle:
++  PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_jet.py --output /tmp/patch-jet
++
++The fixed-amplitude start includes acoustic transients, not a developed jet.
++Only native leaf cells are plotted. No interpolation, restart or flow oracle.
++"""
++import argparse
++from dataclasses import replace
++import json
++import os
++from pathlib import Path
++import tempfile
++import time
++
++import numpy as np
++
++import CelerisLab
++from CelerisLab.config import load_lbm_config
++from CelerisLab.cuda.context import CudaContext
++from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
++from CelerisLab.lbm.refinement import ACTIVE
++from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
++
++BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
++TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
++
++
++def measure(arrays, masks, centers, initial_mass):
++    fields = []
++    for array, mask in zip(arrays, masks):
++        if not np.isfinite(array[:, mask]).all():
++            raise RuntimeError("Nonfinite leaf populations")
++        field = np.full((*mask.shape, 3), np.nan)
++        field[mask] = [compute_macro_from_ddf(f) for f in array[:, mask].T]
++        fields.append(field)
++    leaves = np.concatenate([f[m] for f, m in zip(fields, masks)])
++    speed = np.hypot(leaves[:, 1], leaves[:, 2])
++    mass = sum(area*a[:, m].sum(dtype=np.float64)
++               for area, a, m in zip((1, .25), arrays, masks))
++    record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
++                  rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
++                  measured_Ma=float(speed.max()*np.sqrt(3)),
++                  density_deviation=float(np.abs(leaves[:, 0]-1).max()),
++                  discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
++    if not record['finite'] or record['rho_min'] <= 0 or record['measured_Ma'] > MAX_MACH:
++        raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
++    walls = fields[0][[1, -2]]
++    record['macro_sum_rho_v_bottom_top'] = (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()
++    record['centerline'] = []
++    for level, y in ((0, 3.5), (1, 8.25), (1, 16.25), (0, 32.5)):
++        xs, ys = centers[level]
++        columns = np.argsort(np.abs(xs-24))[:2]
++        row = int(np.flatnonzero(ys == y)[0])
++        values = fields[level][row, columns].mean(axis=0)
++        record['centerline'].append(dict(level=level, x=24, y=y,
++            sampled_x=sorted(xs[columns].tolist()), rule='arithmetic mean of two neighboring native columns',
++            rho_ux_uy=values.tolist()))
++    return fields, record
++
++
++def draw(out, snapshots, masks, centers):
++    import matplotlib
++    matplotlib.use('Agg')
++    import matplotlib.pyplot as plt
++    from matplotlib.collections import PolyCollection
++
++    def decorate(ax):
++        ax.set(xlim=(0, 48), ylim=(1.5, 46.5), aspect='equal', xlabel='X', ylabel='Y')
++        ax.plot([16, 32, 32, 16, 16], [4, 4, 28, 28, 4], color='tab:red', lw=1)
++        ax.axhline(1.5, color='black', lw=1)
++        ax.axhline(46.5, color='black', lw=1, ls='--')
++        ax.plot([18, 30], [1.5, 1.5], color='tab:orange', lw=4, clip_on=False)
++
++    fig, ax = plt.subplots(figsize=(6, 6), constrained_layout=True)
++    for mask, (xs, ys), dx in zip(masks, centers, (1, .5)):
++        yy, xx = np.meshgrid(ys, xs, indexing='ij')
++        cells = np.stack((xx[mask], yy[mask]), axis=-1)
++        vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
++        ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
++    decorate(ax)
++    ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\nRed: internal patch; orange: coarse slot; dashed: reservoir')
++    fig.savefig(out/'layout.png', dpi=150)
++    plt.close(fig)
++    vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
++                    for fields in snapshots for f in fields))
++    fig, axes = plt.subplots(1, 3, figsize=(12, 4.8), constrained_layout=True)
++    for ax, step, fields in zip(axes, TIMES, snapshots):
++        for field, mask, (xs, ys), dx in zip(fields, masks, centers, (1, .5)):
++            speed = np.ma.masked_where(~mask, np.hypot(field[..., 1], field[..., 2])/AMPLITUDE)
++            image = ax.pcolormesh(np.r_[xs-dx/2, xs[-1]+dx/2],
++                                 np.r_[ys-dx/2, ys[-1]+dx/2], speed,
++                                 shading='flat', cmap='viridis', vmin=0, vmax=vmax, rasterized=True)
++            stride = int(4/dx)
++            yy, xx = np.meshgrid(ys, xs, indexing='ij')
++            selection = np.zeros_like(mask)
++            selection[::stride, ::stride] = mask[::stride, ::stride]
++            ax.quiver(xx[selection], yy[selection], field[..., 1][selection], field[..., 2][selection],
++                      angles='xy', scale_units='xy', scale=AMPLITUDE/3, width=.005, color='white')
++        decorate(ax)
++        ax.set_title(f'coarse t={step}, fine steps={2*step}')
++    fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
++    fig.suptitle('Low-Re startup flow in an x-periodic confined domain\nFixed-amplitude start includes acoustic transients; not steady/developed')
++    fig.savefig(out/'velocity.png', dpi=150)
++    plt.close(fig)
++
++
++def main():
++    parser = argparse.ArgumentParser(description=__doc__)
++    parser.add_argument('--output', type=Path, required=True)
++    out = parser.parse_args().output.resolve()
++    root = Path(__file__).resolve().parents[1]
++    if Path(CelerisLab.__file__).resolve() != root/'src/CelerisLab/__init__.py':
++        raise RuntimeError(f'Set PYTHONPATH to {root / "src"}')
++    out.mkdir(parents=True, exist_ok=False)
++    cfg = replace(load_lbm_config(str(root/'src/CelerisLab/configs/config_lbm.json')),
++                  nx=48, ny=48, viscosity=.1, velocity=0., rho=1., wall_slot_width=WIDTH,
++                  wall_normal_velocity=AMPLITUDE, y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
++                  lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
++                  store_precision='FP32', ddf_shifting=False, les_enabled=False)
++    report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
++                              rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
++                  guards=dict(check_every=50, positive_density=True, finite=True,
++                              max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
++                  notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
++                        'Boundary rho*v is a macro measurement, not a closed population budget.',
++                  samples=[], status='running', last_synchronized_coarse_step=0)
++    start, run = time.monotonic(), None
++    try:
++        with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
++                coarse_boundary='slot_reservoir') as run:
++            p = run.patch
++            masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
++            masks[0][[0, -1]] = False
++            masks[0][4:28, 16:32] = False
++            centers = [(origin[0]+dx*(np.arange(shape[1])+.5),
++                        origin[1]+dx*(np.arange(shape[0])+.5))
++                       for shape, origin, dx in ((p.coarse_shape, (0, 0), 1),
++                                                 (p.fine_shape, p.fine_origin, .5))]
++            initial = [np.broadcast_to(compute_feq_d2q9(1., 0., 0.)[:, None, None], (9, *m.shape)).copy()
++                       for m in masks]
++            for x in range(cfg.nx):
++                v = AMPLITUDE*max(0., 1-((2*x-(cfg.nx-1))/WIDTH)**2)**2
++                initial[0][:, 1, x] = compute_feq_d2q9(1., 0., v)
++            run.initialize(*initial)
++            mass0 = sum(area*a[:, m].sum(dtype=np.float64)
++                        for area, a, m in zip((1, .25), initial, masks))
++            snapshots = []
++            for step in range(0, TIMES[-1]+1, 50):
++                if time.monotonic()-start > MAX_SECONDS:
++                    raise TimeoutError('120 second demonstration limit reached')
++                if step:
++                    run.step(50)
++                report['last_synchronized_coarse_step'] = run.step_count
++                fields, sample = measure(run.download(), masks, centers, mass0)
++                print(f'step={step} rho=[{sample["rho_min"]:.7g},{sample["rho_max"]:.7g}] '
++                      f'Ma={sample["measured_Ma"]:.7g}', flush=True)
++                if step in TIMES:
++                    sample.update(coarse_steps=step, fine_steps=2*step)
++                    report['samples'].append(sample)
++                    snapshots.append(fields)
++        with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
++            os.environ['MPLCONFIGDIR'] = cache
++            draw(out, snapshots, masks, centers)
++        report['status'] = 'complete'
++    except BaseException as exc:
++        report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
++                      last_synchronized_coarse_step=run.step_count if run is not None else 0)
++        raise
++    finally:
++        report['elapsed_seconds'] = time.monotonic()-start
++        (out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
++        print(f'{report["status"]}: last synchronized coarse step '
++              f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
++
++
++if __name__ == '__main__':
++    main()
diff --git a/research/fixed_patch_jet_20261013/manifest.json b/research/fixed_patch_jet_20261013/manifest.json
new file mode 100644
index 0000000..08daa02
--- /dev/null
+++ b/research/fixed_patch_jet_20261013/manifest.json
@@ -0,0 +1,53 @@
+{
+  "baseline_files_checked": 531,
+  "all_baseline_files_unchanged": true,
+  "new_source": "examples/fixed_patch_jet.py",
+  "added_lines": 179,
+  "actual_runs": 1,
+  "exit_code": 0,
+  "guard_checks": 25,
+  "max_Mach_from_printed_checks": 0.03416159,
+  "output_bytes": 159016,
+  "files": {
+    "examples/fixed_patch_jet.py": {
+      "bytes": 9646,
+      "sha256": "f27cd067fd7b9a7c6d7fab19fa471fe0617ee67889ae3931048557cc5659181b"
+    },
+    "research/fixed_patch_jet_20261013/incremental.patch": {
+      "bytes": 9891,
+      "sha256": "dd95a98f03b7ce06d024a1d1d1f454dd206ad10a573a8060f728bad71941d6e8"
+    },
+    "research/fixed_patch_jet_20261013/baseline.json": {
+      "bytes": 69721,
+      "sha256": "d2a83d490ca545589a7a7fc0e3fd187f4801e22e5c8d2d18ddb519097d3281b9"
+    },
+    "research/fixed_patch_jet_20261013/before.json": {
+      "bytes": 690,
+      "sha256": "dd47f1e25a807a3eafef7d12429f034117f945a4ebfeb98eb1688d1752c3d30d"
+    },
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+      "bytes": 2214,
+      "sha256": "155be36e201c9c8a043a87fc7a7d0064b703990b2aad86853767603fe38a256d"
+    },
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+      "bytes": 1272,
+      "sha256": "925abb3038095560d71a4e7733b38d93672397640cc88197c733a8a39e2f9f51"
+    },
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+      "bytes": 1100,
+      "sha256": "fcd944b8dec61b399874b5386d6e00880f0dbc34d248ad371a6af8781fddaa93"
+    },
+    "research/fixed_patch_jet_20261013/output/summary.json": {
+      "bytes": 6446,
+      "sha256": "a9a4ab5975684a386f05746f570ec4d7b1c5ee3be413400445122448f534eca3"
+    },
+    "research/fixed_patch_jet_20261013/output/velocity.png": {
+      "bytes": 108248,
+      "sha256": "0f8ffc3a7b36ffefa5c0cd8550309fe89d9de72cd5476f354a27fac89cb39b0a"
+    },
+    "research/fixed_patch_jet_20261013/output/layout.png": {
+      "bytes": 44322,
+      "sha256": "cfc354c0192a5a9727a8056ff6c5bc4571f916143853e4da2dc16da965e10173"
+    }
+  }
+}
diff --git a/research/fixed_patch_jet_20261013/notes.txt b/research/fixed_patch_jet_20261013/notes.txt
new file mode 100644
index 0000000..50070fe
--- /dev/null
+++ b/research/fixed_patch_jet_20261013/notes.txt
@@ -0,0 +1,7 @@
+Added only examples/fixed_patch_jet.py (179 lines). Existing backend, BC helper, tests, prior sources/evidence unchanged against this round baseline. No dependencies/environment/system edits, DynamisLab access, commit or push.
+Public API only: configuration loader + replace, equilibrium/macroscopic helpers, CudaContext, FixedPatchStepper(slot_reservoir). Native coarse/fine leaves, physical centers, on-site clipping Y=[1.5,46.5], no interpolation or oracle. Layout and three synchronized velocity panels inspected after run. Centerline values average two explicitly recorded neighboring native columns.
+One real production compile/run, no retry or parameter/tolerance changes: 1200 coarse /2400 fine steps, 25 successful checks including initial state, exit0. Predeclared checks every50 steps: all leaf populations/macros finite, density positive, measured Ma<=0.1. External120s resource watchdog. stdout.txt is directly redirected merged stdout/stderr, unmodified.
+Runtime resource results in results.json: elapsed7.101054s, peak sampled process-group RSS280051712 bytes, minimum available RAM63756603392 bytes, minimum GPU0 free15826MiB; peak combined task temporary/current output/prior refinement evidence1929396 bytes, below2GB. Monitoring is sampled, not an OS hard memory/disk limit; no256MiB RSS cap. Private compilation scratch and Matplotlib cache cleaned; temporary runner removed.
+Snapshots0/300/1200 are low-Re startup flow in an x-periodic confined domain. Fixed-amplitude startup includes acoustic transients; no steady/developed jet, vortex/head detector, uniform-coarse comparison or accuracy/conservation certification.
+Final rho range[0.99340069294,1.00000023842], measured Ma0.03416155101. Node mass2208.00001640618 ->2202.30112983007 (delta -5.69888657611); final macro boundary sums bottom0.12769020163, top0.03066523932. These node-weighted quantities are not an exact physical volume integral or a demonstrated population-budget closure. No mass-conservation assertion.
+Read-only delegate reviewed geometry, wall clipping, probes and safety. One reduction-order issue was corrected before the only run: initial/current node mass both sum populations in FP64. No post-run source changes.
diff --git a/research/fixed_patch_jet_20261013/results.json b/research/fixed_patch_jet_20261013/results.json
new file mode 100644
index 0000000..d959a6a
--- /dev/null
+++ b/research/fixed_patch_jet_20261013/results.json
@@ -0,0 +1,33 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/examples/fixed_patch_jet.py",
+    "--output",
+    "/home/frank14f/CelerisLab/research/fixed_patch_jet_20261013/output"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "TMPDIR": "/tmp/celeris-jet-run-zdq8n25a"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 7.101054363010917,
+  "peak_sampled_group_rss_bytes": 280051712,
+  "min_ram_available_bytes": 63756603392,
+  "min_gpu_free_mib": 15826,
+  "ram_reserve_bytes": 6409714073,
+  "vram_reserve_mib": 1614,
+  "peak_combined_temporary_and_refinement_evidence_bytes": 1929396,
+  "temporary_budget_bytes": 2000000000,
+  "termination_reason": null,
+  "monitor": "Own process group RSS recorded, not capped; live RAM/VRAM and temp sampled, not OS hard limits"
+}
diff --git a/research/fixed_patch_jet_20261013/stdout.txt b/research/fixed_patch_jet_20261013/stdout.txt
new file mode 100644
index 0000000..eccdc0f
--- /dev/null
+++ b/research/fixed_patch_jet_20261013/stdout.txt
@@ -0,0 +1,26 @@
+step=0 rho=[0.9999999,1] Ma=0.03416157
+step=50 rho=[0.9999995,1.009438] Ma=0.03416151
+step=100 rho=[0.9984777,1.010592] Ma=0.03416153
+step=150 rho=[0.9973579,1.003838] Ma=0.03416153
+step=200 rho=[0.9933594,1.000131] Ma=0.03416159
+step=250 rho=[0.9925539,1] Ma=0.03416156
+step=300 rho=[0.9937773,1.000459] Ma=0.03416155
+step=350 rho=[0.9999761,1.009384] Ma=0.03416157
+step=400 rho=[0.9999998,1.007331] Ma=0.03416151
+step=450 rho=[0.9997285,1.006167] Ma=0.03416155
+step=500 rho=[0.9933134,1.000157] Ma=0.03416156
+step=550 rho=[0.9927858,1] Ma=0.03416158
+step=600 rho=[0.9945809,1.000122] Ma=0.03416153
+step=650 rho=[0.9999998,1.006541] Ma=0.0341615
+step=700 rho=[0.9999998,1.007461] Ma=0.03416157
+step=750 rho=[0.9999998,1.007199] Ma=0.03416156
+step=800 rho=[0.9945453,1.000039] Ma=0.03416156
+step=850 rho=[0.9931565,1] Ma=0.03416155
+step=900 rho=[0.9935648,1] Ma=0.03416153
+step=950 rho=[0.9997682,1.005144] Ma=0.03416155
+step=1000 rho=[0.9999998,1.007829] Ma=0.03416158
+step=1050 rho=[0.9999998,1.007131] Ma=0.03416152
+step=1100 rho=[0.9964147,1.001809] Ma=0.03416152
+step=1150 rho=[0.9931713,1] Ma=0.03416154
+step=1200 rho=[0.9934007,1] Ma=0.03416155
+complete: last synchronized coarse step 1200; output=/home/frank14f/CelerisLab/research/fixed_patch_jet_20261013/output
diff --git a/research/fixed_patch_jet_closure_20261013/baseline.json b/research/fixed_patch_jet_closure_20261013/baseline.json
new file mode 100644
index 0000000..8a157af
--- /dev/null
+++ b/research/fixed_patch_jet_closure_20261013/baseline.json
@@ -0,0 +1,559 @@
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+  },
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+}
diff --git a/research/fixed_patch_jet_closure_20261013/cpu_results.json b/research/fixed_patch_jet_closure_20261013/cpu_results.json
new file mode 100644
index 0000000..8e4a1c0
--- /dev/null
+++ b/research/fixed_patch_jet_closure_20261013/cpu_results.json
@@ -0,0 +1,17 @@
+{
+  "operation": "CPU-only geometry redraw, no CUDA context or solver",
+  "input_summary": "/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output/summary.json",
+  "elapsed_seconds": 1.8603430899675004,
+  "peak_self_rss_bytes": 76394496,
+  "ram_available_before_bytes": 64069128192,
+  "ram_available_after_bytes": 64015175680,
+  "sampled_related_evidence_and_temporary_bytes": 1219264,
+  "temporary_budget_bytes": 2000000000,
+  "private_plot_cache_cleaned": true,
+  "disk_monitor": "sampled before/after redraw, not OS hard guarantee",
+  "leaf_counts": [
+    1824,
+    1536
+  ],
+  "CFD_runs_this_round": 0
+}
diff --git a/research/fixed_patch_jet_closure_20261013/cpu_stdout.txt b/research/fixed_patch_jet_closure_20261013/cpu_stdout.txt
new file mode 100644
index 0000000..d800b78
--- /dev/null
+++ b/research/fixed_patch_jet_closure_20261013/cpu_stdout.txt
@@ -0,0 +1 @@
+{"operation": "CPU-only geometry redraw, no CUDA context or solver", "input_summary": "/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output/summary.json", "elapsed_seconds": 1.8603430899675004, "peak_self_rss_bytes": 76394496, "ram_available_before_bytes": 64069128192, "ram_available_after_bytes": 64015175680, "sampled_related_evidence_and_temporary_bytes": 1219264, "temporary_budget_bytes": 2000000000, "private_plot_cache_cleaned": true, "disk_monitor": "sampled before/after redraw, not OS hard guarantee", "leaf_counts": [1824, 1536], "CFD_runs_this_round": 0}
diff --git a/research/fixed_patch_jet_closure_20261013/incremental.patch b/research/fixed_patch_jet_closure_20261013/incremental.patch
new file mode 100644
index 0000000..a9a486c
--- /dev/null
+++ b/research/fixed_patch_jet_closure_20261013/incremental.patch
@@ -0,0 +1,58 @@
+--- a/examples/fixed_patch_jet.py
++++ b/examples/fixed_patch_jet.py
+@@ -8,6 +8,10 @@
+ Scale estimates use the continuous peak A=.02, not inlet mean speed: W/A=600,
+ H/A=2250, W**2/nu=1440, H**2/nu=20250, where H=NY-3=45 between on-site planes.
+ An acoustic crossing (~78 steps) does not imply that transients have disappeared.
++Mach is sampled over all leaves every 50 steps and is usually inlet dominated;
++the discrete inlet peak is slightly below continuous A. This is not an accuracy test.
++The 120s checks are cooperative, not an exact interruption deadline. main elapsed
++includes construction, advancement and plotting; it is not pure CFD timing.
+ """
+ import argparse
+ from dataclasses import replace
+@@ -87,7 +91,7 @@
+     ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\n'
+                  'Red: internal patch; orange: coarse slot; dashed: reservoir\n'
+                  'Flow may cross patch sides; patch does not contain all startup flow', fontsize=10)
+-    fig.savefig(out/'layout.png', dpi=150)
++    fig.savefig(out/'layout.png', dpi=150, bbox_inches='tight', pad_inches=.15)
+     plt.close(fig)
+     vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
+                     for fields in snapshots for f in fields))
+@@ -130,7 +134,8 @@
+     report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
+                               rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
+                   guards=dict(check_every=50, positive_density=True, finite=True,
+-                              max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
++                              max_Mach=MAX_MACH, max_seconds=MAX_SECONDS,
++                              timing='cooperative checks, not an exact interruption deadline'),
+                   scale_estimates=dict(velocity_basis='continuous peak A, not inlet mean', H=cfg.ny-3,
+                       W_over_A=WIDTH/AMPLITUDE, H_over_A=(cfg.ny-3)/AMPLITUDE,
+                       W_squared_over_nu=WIDTH**2/cfg.viscosity,
+@@ -168,6 +173,8 @@
+                 if step:
+                     run.step(50)
+                 report['last_synchronized_coarse_step'] = run.step_count
++                if time.monotonic()-start > MAX_SECONDS:
++                    raise TimeoutError('120 second demonstration limit reached after chunk')
+                 fields, sample = measure(run.download(), masks, centers, mass0)
+                 sample.update(t=step, coarse_steps=step, fine_steps=2*step)
+                 report['samples'].append(sample)
+@@ -177,6 +184,8 @@
+         with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
+             os.environ['MPLCONFIGDIR'] = cache
+             draw(out, snapshots, masks, centers)
++        if time.monotonic()-start > MAX_SECONDS:
++            raise TimeoutError('120 second demonstration limit reached after plotting')
+         report['status'] = 'complete'
+     except BaseException as exc:
+         report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
+@@ -184,6 +193,7 @@
+         raise
+     finally:
+         report['elapsed_seconds'] = time.monotonic()-start
++        report['elapsed_scope'] = 'main construction, advancement and plotting; not pure CFD time'
+         (out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
+         print(f'{report["status"]}: last synchronized coarse step '
+               f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
diff --git a/research/fixed_patch_jet_closure_20261013/layout_uncropped.png b/research/fixed_patch_jet_closure_20261013/layout_uncropped.png
new file mode 100644
index 0000000..0cf1cfa
Binary files /dev/null and b/research/fixed_patch_jet_closure_20261013/layout_uncropped.png differ
diff --git a/research/fixed_patch_jet_closure_20261013/manifest.json b/research/fixed_patch_jet_closure_20261013/manifest.json
new file mode 100644
index 0000000..31cf0c7
--- /dev/null
+++ b/research/fixed_patch_jet_closure_20261013/manifest.json
@@ -0,0 +1,55 @@
+{
+  "CFD_runs_this_round": 0,
+  "CFD_runs_total": 2,
+  "cpu_redraw_exit_code": 0,
+  "baseline_files_checked": 554,
+  "unchanged_baseline_files": 553,
+  "changed_files": [
+    "examples/fixed_patch_jet.py"
+  ],
+  "static_checks": [
+    "AST/compile",
+    "measure AST unchanged",
+    "BOUNDS/TIMES/constants unchanged",
+    "cfg AST unchanged"
+  ],
+  "current_entry_CFD_run": false,
+  "diff": {
+    "added": 12,
+    "removed": 2
+  },
+  "files": {
+    "examples/fixed_patch_jet.py": {
+      "bytes": 11491,
+      "sha256": "9d58ac3f32478603e8e798efcdaf6ea16e9cc92346eb4780a60e438d331abced"
+    },
+    "research/fixed_patch_jet_records_20261013/fixed_patch_jet.py": {
+      "bytes": 10650,
+      "sha256": "7d6370fe6d8b723b1b3e1492e89fcc72562383c0dc030c25a254ac3fc899845a"
+    },
+    "research/fixed_patch_jet_closure_20261013/incremental.patch": {
+      "bytes": 3490,
+      "sha256": "18b30ecc0703bcb4cb6577255d12a5b0d95dfea99d02d761bbc1b5b231bba1d3"
+    },
+    "research/fixed_patch_jet_closure_20261013/baseline.json": {
+      "bytes": 72692,
+      "sha256": "ccf88409836657aebbf091f06c41141c81d20169c2cac0fd8e2a16b40df36882"
+    },
+    "research/fixed_patch_jet_closure_20261013/notes.txt": {
+      "bytes": 3023,
+      "sha256": "bc3c939659ef0cbda506024d79b896707f4dc4af94bb088924e139f81a9e885f"
+    },
+    "research/fixed_patch_jet_closure_20261013/cpu_stdout.txt": {
+      "bytes": 590,
+      "sha256": "4e1f371a568eb1c2a7912cb5ea564c8c23f0106dbc41a68f179bbcafdff2cdff"
+    },
+    "research/fixed_patch_jet_closure_20261013/layout_uncropped.png": {
+      "bytes": 51785,
+      "sha256": "0ef6709c02ed5beba5707e033d9f6f9795a9bbfe3d7fc23341fa7dab6e85288c"
+    },
+    "research/fixed_patch_jet_closure_20261013/cpu_results.json": {
+      "bytes": 628,
+      "sha256": "6bae91721db9051f18bbf89dacca40b80410f84f037e7732cb1af4eadc24aaf8"
+    }
+  }
+}
diff --git a/research/fixed_patch_jet_closure_20261013/notes.txt b/research/fixed_patch_jet_closure_20261013/notes.txt
new file mode 100644
index 0000000..0f7e7bd
--- /dev/null
+++ b/research/fixed_patch_jet_closure_20261013/notes.txt
@@ -0,0 +1,15 @@
+本轮无 CFD 运行，案例累计仍为2次。第一次与第二次实际运行源码已分别逐字保存于 research/fixed_patch_jet_20261013/fixed_patch_jet.py 和 research/fixed_patch_jet_records_20261013/fixed_patch_jet.py；原PNG/stdout/summary/results/manifest全部不变。当前examples入口只增加说明、布局边距和协作式计时检查，未重新运行CFD；既有数据来自第二次源码快照。
+
+25组记录每50粗步采样，node mass约在2199.806433至2216.155705间振荡，Q_out也有约300步的变化周期。H=NY-3=45、c_s=1/sqrt(3)，闭开声学估计4H/c_s=311.769步，与观测尺度相符。这是基于边界条件与现有记录的合理解释，不是已证明的因果或唯一模态。末态相对初值-5.698886576是两个时刻的节点质量状态差，不能单凭它推断长期或单调累积损失。50步macro sum(rho*vy)采样不证明population预算闭合；节点面积1与1/4的账本不是精确物理体积分。
+
+采样最大Mach0.034161593来自每50步全leaf测量，由施加的入口离散峰值主导；连续峰值A=.02，而最近slot节点的解析速度约.019723187，略低于A。它不是逐步全程峰值，也不是精度验证。时间尺度使用连续峰值A（非入口平均速度）：W/A600、H/A2250、W²/nu1440、H²/nu20250；声学穿越约77.94步不意味着瞬态消失。0/300/1200中的两个发展快照不代表充分发展，流动可能越过patch两侧，喷口仍由coarse解析。
+
+第二次脚本main elapsed=6.24919704697秒，包含构造、推进、绘图，不是纯CFD耗时；外部进程elapsed=6.70286765601秒。120秒限制是协作式检查：现有chunk前检查之外，当前入口补上chunk结束后和绘图结束、status=complete之前的检查。它不能在进行中的操作内精确中断；外部watchdog亦为采样监控，两者都不是120秒整点停止的OS硬保证。
+
+新layout_uncropped.png只读取第二次summary实际nx/ny/bounds/W与公共CPU FixedPatch2D几何生成原生leaf网格；coarse1824、fine1536，Y裁剪[1.5,46.5]，无CUDA上下文或求解器。绘图耗时1.860343秒，进程峰值RSS76394496字节，采样临时及相关证据1219264字节（<2GB），私有绘图缓存与临时脚本已清理。原velocity图保留，没有从PNG/probe重建速度场。
+
+静态核验：AST与compile通过，measure函数AST、BOUNDS/TIMES及其关联常量、cfg构造AST与第二次源码一致；本轮基线除examples/fixed_patch_jet.py外均未变。没有环境/依赖/系统/DynamisLab修改，没有提交或推送。
+
+以后获授权复现当前入口时使用新的输出目录（本轮未执行此命令）：
+PYTHONPATH=/home/frank14f/CelerisLab/src CUDA_VISIBLE_DEVICES=0 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python /home/frank14f/CelerisLab/examples/fixed_patch_jet.py --output /tmp/celeris-fixed-patch-jet-new
+运行前仍须预检实际物理GPU占用/UUID/显存/RAM，并使用外部采样watchdog；命令本身不提供外部watchdog。
diff --git a/research/fixed_patch_jet_records_20261013/baseline.json b/research/fixed_patch_jet_records_20261013/baseline.json
new file mode 100644
index 0000000..a8e967f
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/baseline.json
@@ -0,0 +1,548 @@
+{
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+    "research/j3-reservoir-2026-10-12/gpu-validation.log": "ff04024db197e332f37c912a96413e3251fd0186947348ffbc33af6f4a899f2c",
+    "research/j3-reservoir-2026-10-12/results.json": "49685de7679a14860258abf1753aaa6d116ad709b868d907ddb40e74c9b845ea",
+    "research/j3-reservoir-2026-10-12/incremental.diff": "fae312831d71e46dd477a640b06ed927853a9e735d26bf9f5868927fa31cfa56"
+  },
+  "prior_source_snapshot": "research/fixed_patch_jet_20261013/fixed_patch_jet.py"
+}
diff --git a/research/fixed_patch_jet_records_20261013/before.json b/research/fixed_patch_jet_records_20261013/before.json
new file mode 100644
index 0000000..ebd6f42
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/before.json
@@ -0,0 +1,8 @@
+{
+  "utc": "2026-10-13T11:51:01.475368+00:00",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "gpus": "index, uuid, name, memory.used [MiB], memory.free [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
+  "ram_available_bytes": 64059838464
+}
diff --git a/research/fixed_patch_jet_records_20261013/fixed_patch_jet.py b/research/fixed_patch_jet_records_20261013/fixed_patch_jet.py
new file mode 100644
index 0000000..f6b2998
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/fixed_patch_jet.py
@@ -0,0 +1,193 @@
+"""Low-Re startup flow in an x-periodic confined domain; nozzle remains coarse.
+
+From this checkout, after checking the selected physical GPU is idle:
+  PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_patch_jet.py --output /tmp/patch-jet
+
+The fixed-amplitude start includes acoustic transients, not a developed jet.
+Only native leaf cells are plotted. No interpolation, restart or flow oracle.
+Scale estimates use the continuous peak A=.02, not inlet mean speed: W/A=600,
+H/A=2250, W**2/nu=1440, H**2/nu=20250, where H=NY-3=45 between on-site planes.
+An acoustic crossing (~78 steps) does not imply that transients have disappeared.
+"""
+import argparse
+from dataclasses import replace
+import json
+import os
+from pathlib import Path
+import tempfile
+import time
+
+import numpy as np
+
+import CelerisLab
+from CelerisLab.config import load_lbm_config
+from CelerisLab.cuda.context import CudaContext
+from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
+from CelerisLab.lbm.refinement import ACTIVE
+from CelerisLab.lbm.refinement_stepper import FixedPatchStepper
+
+BOUNDS, AMPLITUDE, WIDTH = (16, 4, 32, 28), .02, 12
+TIMES, MAX_MACH, MAX_SECONDS = (0, 300, 1200), .1, 120
+
+
+def measure(arrays, masks, centers, initial_mass):
+    fields = []
+    for array, mask in zip(arrays, masks):
+        if not np.isfinite(array[:, mask]).all():
+            raise RuntimeError("Nonfinite leaf populations")
+        field = np.full((*mask.shape, 3), np.nan)
+        field[mask] = [compute_macro_from_ddf(f) for f in array[:, mask].T]
+        fields.append(field)
+    leaves = np.concatenate([f[m] for f, m in zip(fields, masks)])
+    speed = np.hypot(leaves[:, 1], leaves[:, 2])
+    mass = sum(area*a[:, m].sum(dtype=np.float64)
+               for area, a, m in zip((1, .25), arrays, masks))
+    record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
+                  rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
+                  sampled_max_Mach=float(speed.max()*np.sqrt(3)),
+                  density_deviation=float(np.abs(leaves[:, 0]-1).max()),
+                  discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
+    if not record['finite'] or record['rho_min'] <= 0 or record['sampled_max_Mach'] > MAX_MACH:
+        raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
+    walls = fields[0][[1, -2]]
+    record['macro_sum_rho_v'] = dict(zip(('Q_in', 'Q_out'),
+                                       (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()))
+    record['centerline'] = []
+    for level, y in ((1, 16.25), (0, 32.5)):
+        xs, ys = centers[level]
+        columns = np.argsort(np.abs(xs-24))[:2]
+        row = int(np.flatnonzero(ys == y)[0])
+        values = fields[level][row, columns].mean(axis=0)
+        record['centerline'].append(dict(level=level, x=24, y=y,
+            sampled_x=sorted(xs[columns].tolist()), rule='arithmetic mean of two neighboring native columns',
+            rho_ux_uy=values.tolist()))
+    return fields, record
+
+
+def draw(out, snapshots, masks, centers):
+    import matplotlib
+    matplotlib.use('Agg')
+    import matplotlib.pyplot as plt
+    from matplotlib.collections import PolyCollection
+
+    def decorate(ax):
+        ax.set(xlim=(0, 48), ylim=(1.5, 46.5), aspect='equal', xlabel='X', ylabel='Y')
+        ax.plot([16, 32, 32, 16, 16], [4, 4, 28, 28, 4], color='tab:red', lw=1)
+        ax.axhline(1.5, color='black', lw=1)
+        ax.axhline(46.5, color='black', lw=1, ls='--')
+        ax.plot([18, 30], [1.5, 1.5], color='tab:orange', lw=4, clip_on=False)
+
+    fig, ax = plt.subplots(figsize=(6, 6), constrained_layout=True)
+    for mask, (xs, ys), dx in zip(masks, centers, (1, .5)):
+        yy, xx = np.meshgrid(ys, xs, indexing='ij')
+        cells = np.stack((xx[mask], yy[mask]), axis=-1)
+        vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
+        ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
+    decorate(ax)
+    ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\n'
+                 'Red: internal patch; orange: coarse slot; dashed: reservoir\n'
+                 'Flow may cross patch sides; patch does not contain all startup flow', fontsize=10)
+    fig.savefig(out/'layout.png', dpi=150)
+    plt.close(fig)
+    vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
+                    for fields in snapshots for f in fields))
+    fig, axes = plt.subplots(1, 3, figsize=(12, 4.8), constrained_layout=True)
+    for ax, step, fields in zip(axes, TIMES, snapshots):
+        for field, mask, (xs, ys), dx in zip(fields, masks, centers, (1, .5)):
+            speed = np.ma.masked_where(~mask, np.hypot(field[..., 1], field[..., 2])/AMPLITUDE)
+            image = ax.pcolormesh(np.r_[xs-dx/2, xs[-1]+dx/2],
+                                 np.r_[ys-dx/2, ys[-1]+dx/2], speed,
+                                 shading='flat', cmap='viridis', vmin=0, vmax=vmax, rasterized=True)
+            stride = int(4/dx)
+            yy, xx = np.meshgrid(ys, xs, indexing='ij')
+            selection = np.zeros_like(mask)
+            selection[::stride, ::stride] = mask[::stride, ::stride]
+            ax.quiver(xx[selection], yy[selection], field[..., 1][selection], field[..., 2][selection],
+                      angles='xy', scale_units='xy', scale=AMPLITUDE/3, width=.005, color='white')
+        decorate(ax)
+        ax.set_title(f'coarse t={step}, fine steps={2*step}')
+    fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
+    fig.suptitle('Low-Re startup flow in an x-periodic confined domain\n'
+                 'Fixed-amplitude start includes acoustic transients; not steady/developed\n'
+                 'Nozzle remains coarse; flow may cross patch sides (not fully enclosed)', fontsize=11)
+    fig.savefig(out/'velocity.png', dpi=150)
+    plt.close(fig)
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('--output', type=Path, required=True)
+    out = parser.parse_args().output.resolve()
+    root = Path(__file__).resolve().parents[1]
+    if Path(CelerisLab.__file__).resolve() != root/'src/CelerisLab/__init__.py':
+        raise RuntimeError(f'Set PYTHONPATH to {root / "src"}')
+    out.mkdir(parents=True, exist_ok=False)
+    cfg = replace(load_lbm_config(str(root/'src/CelerisLab/configs/config_lbm.json')),
+                  nx=48, ny=48, viscosity=.1, velocity=0., rho=1., wall_slot_width=WIDTH,
+                  wall_normal_velocity=AMPLITUDE, y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
+                  lattice_model='D2Q9', collision='SRT', streaming='double_buffer',
+                  store_precision='FP32', ddf_shifting=False, les_enabled=False)
+    report = dict(config=dict(nx=48, ny=48, bounds=BOUNDS, W=WIDTH, A=AMPLITUDE, nu=.1,
+                              rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
+                  guards=dict(check_every=50, positive_density=True, finite=True,
+                              max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
+                  scale_estimates=dict(velocity_basis='continuous peak A, not inlet mean', H=cfg.ny-3,
+                      W_over_A=WIDTH/AMPLITUDE, H_over_A=(cfg.ny-3)/AMPLITUDE,
+                      W_squared_over_nu=WIDTH**2/cfg.viscosity,
+                      H_squared_over_nu=(cfg.ny-3)**2/cfg.viscosity,
+                      acoustic_crossing=(cfg.ny-3)*np.sqrt(3)),
+                  notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
+                        'Q_in/Q_out are bottom/top macro sum(rho*vy), not a closed population budget. '
+                        'Mach maxima are sampled every 50 steps, not every-step peaks. '
+                        'One acoustic crossing does not imply transient decay; no steady-state claim.',
+                  samples=[], status='running', last_synchronized_coarse_step=0)
+    start, run = time.monotonic(), None
+    try:
+        with CudaContext(0) as context, FixedPatchStepper(cfg, BOUNDS, context=context,
+                coarse_boundary='slot_reservoir') as run:
+            p = run.patch
+            masks = [np.ones(p.coarse_shape, bool), p.fine_kind == ACTIVE]
+            masks[0][[0, -1]] = False
+            masks[0][4:28, 16:32] = False
+            centers = [(origin[0]+dx*(np.arange(shape[1])+.5),
+                        origin[1]+dx*(np.arange(shape[0])+.5))
+                       for shape, origin, dx in ((p.coarse_shape, (0, 0), 1),
+                                                 (p.fine_shape, p.fine_origin, .5))]
+            initial = [np.broadcast_to(compute_feq_d2q9(1., 0., 0.)[:, None, None], (9, *m.shape)).copy()
+                       for m in masks]
+            for x in range(cfg.nx):
+                v = AMPLITUDE*max(0., 1-((2*x-(cfg.nx-1))/WIDTH)**2)**2
+                initial[0][:, 1, x] = compute_feq_d2q9(1., 0., v)
+            run.initialize(*initial)
+            mass0 = sum(area*a[:, m].sum(dtype=np.float64)
+                        for area, a, m in zip((1, .25), initial, masks))
+            snapshots = []
+            for step in range(0, TIMES[-1]+1, 50):
+                if time.monotonic()-start > MAX_SECONDS:
+                    raise TimeoutError('120 second demonstration limit reached')
+                if step:
+                    run.step(50)
+                report['last_synchronized_coarse_step'] = run.step_count
+                fields, sample = measure(run.download(), masks, centers, mass0)
+                sample.update(t=step, coarse_steps=step, fine_steps=2*step)
+                report['samples'].append(sample)
+                print(json.dumps(sample), flush=True)
+                if step in TIMES:
+                    snapshots.append(fields)
+        with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
+            os.environ['MPLCONFIGDIR'] = cache
+            draw(out, snapshots, masks, centers)
+        report['status'] = 'complete'
+    except BaseException as exc:
+        report.update(status='failed', error=f'{type(exc).__name__}: {exc}',
+                      last_synchronized_coarse_step=run.step_count if run is not None else 0)
+        raise
+    finally:
+        report['elapsed_seconds'] = time.monotonic()-start
+        (out/'summary.json').write_text(json.dumps(report, indent=2)+'\n')
+        print(f'{report["status"]}: last synchronized coarse step '
+              f'{report["last_synchronized_coarse_step"]}; output={out}', flush=True)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/research/fixed_patch_jet_records_20261013/incremental.patch b/research/fixed_patch_jet_records_20261013/incremental.patch
new file mode 100644
index 0000000..c7f4d0c
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/incremental.patch
@@ -0,0 +1,87 @@
+--- a/examples/fixed_patch_jet.py
++++ b/examples/fixed_patch_jet.py
+@@ -5,6 +5,9 @@
+ 
+ The fixed-amplitude start includes acoustic transients, not a developed jet.
+ Only native leaf cells are plotted. No interpolation, restart or flow oracle.
++Scale estimates use the continuous peak A=.02, not inlet mean speed: W/A=600,
++H/A=2250, W**2/nu=1440, H**2/nu=20250, where H=NY-3=45 between on-site planes.
++An acoustic crossing (~78 steps) does not imply that transients have disappeared.
+ """
+ import argparse
+ from dataclasses import replace
+@@ -41,15 +44,16 @@
+                for area, a, m in zip((1, .25), arrays, masks))
+     record = dict(finite=bool(np.isfinite(leaves).all()), rho_min=float(leaves[:, 0].min()),
+                   rho_max=float(leaves[:, 0].max()), speed_max=float(speed.max()),
+-                  measured_Ma=float(speed.max()*np.sqrt(3)),
++                  sampled_max_Mach=float(speed.max()*np.sqrt(3)),
+                   density_deviation=float(np.abs(leaves[:, 0]-1).max()),
+                   discrete_leaf_mass=float(mass), mass_change=float(mass-initial_mass))
+-    if not record['finite'] or record['rho_min'] <= 0 or record['measured_Ma'] > MAX_MACH:
++    if not record['finite'] or record['rho_min'] <= 0 or record['sampled_max_Mach'] > MAX_MACH:
+         raise RuntimeError(f"Finite/positive-density/Ma<={MAX_MACH} guard failed: {record}")
+     walls = fields[0][[1, -2]]
+-    record['macro_sum_rho_v_bottom_top'] = (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()
++    record['macro_sum_rho_v'] = dict(zip(('Q_in', 'Q_out'),
++                                       (walls[:, :, 0]*walls[:, :, 2]).sum(axis=1).tolist()))
+     record['centerline'] = []
+-    for level, y in ((0, 3.5), (1, 8.25), (1, 16.25), (0, 32.5)):
++    for level, y in ((1, 16.25), (0, 32.5)):
+         xs, ys = centers[level]
+         columns = np.argsort(np.abs(xs-24))[:2]
+         row = int(np.flatnonzero(ys == y)[0])
+@@ -80,7 +84,9 @@
+         vertices = cells[:, None, :] + dx*np.array([[-.5, -.5], [.5, -.5], [.5, .5], [-.5, .5]])
+         ax.add_collection(PolyCollection(vertices, facecolors='none', edgecolors='0.55', linewidths=.3))
+     decorate(ax)
+-    ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\nRed: internal patch; orange: coarse slot; dashed: reservoir')
++    ax.set_title('Native leaf grid: coarse dx=1, fine dx=0.5\n'
++                 'Red: internal patch; orange: coarse slot; dashed: reservoir\n'
++                 'Flow may cross patch sides; patch does not contain all startup flow', fontsize=10)
+     fig.savefig(out/'layout.png', dpi=150)
+     plt.close(fig)
+     vmax = max(1., *(np.nanmax(np.hypot(f[..., 1], f[..., 2]))/AMPLITUDE
+@@ -101,7 +107,9 @@
+         decorate(ax)
+         ax.set_title(f'coarse t={step}, fine steps={2*step}')
+     fig.colorbar(image, ax=axes, label='speed / imposed amplitude')
+-    fig.suptitle('Low-Re startup flow in an x-periodic confined domain\nFixed-amplitude start includes acoustic transients; not steady/developed')
++    fig.suptitle('Low-Re startup flow in an x-periodic confined domain\n'
++                 'Fixed-amplitude start includes acoustic transients; not steady/developed\n'
++                 'Nozzle remains coarse; flow may cross patch sides (not fully enclosed)', fontsize=11)
+     fig.savefig(out/'velocity.png', dpi=150)
+     plt.close(fig)
+ 
+@@ -123,8 +131,15 @@
+                               rho=1, tau_coarse=.8, tau_fine=1.1, coarse_boundary='slot_reservoir'),
+                   guards=dict(check_every=50, positive_density=True, finite=True,
+                               max_Mach=MAX_MACH, max_seconds=MAX_SECONDS),
++                  scale_estimates=dict(velocity_basis='continuous peak A, not inlet mean', H=cfg.ny-3,
++                      W_over_A=WIDTH/AMPLITUDE, H_over_A=(cfg.ny-3)/AMPLITUDE,
++                      W_squared_over_nu=WIDTH**2/cfg.viscosity,
++                      H_squared_over_nu=(cfg.ny-3)**2/cfg.viscosity,
++                      acoustic_crossing=(cfg.ny-3)*np.sqrt(3)),
+                   notes='Node mass uses areas 1 and 1/4, not an exact physical volume integral. '
+-                        'Boundary rho*v is a macro measurement, not a closed population budget.',
++                        'Q_in/Q_out are bottom/top macro sum(rho*vy), not a closed population budget. '
++                        'Mach maxima are sampled every 50 steps, not every-step peaks. '
++                        'One acoustic crossing does not imply transient decay; no steady-state claim.',
+                   samples=[], status='running', last_synchronized_coarse_step=0)
+     start, run = time.monotonic(), None
+     try:
+@@ -154,11 +169,10 @@
+                     run.step(50)
+                 report['last_synchronized_coarse_step'] = run.step_count
+                 fields, sample = measure(run.download(), masks, centers, mass0)
+-                print(f'step={step} rho=[{sample["rho_min"]:.7g},{sample["rho_max"]:.7g}] '
+-                      f'Ma={sample["measured_Ma"]:.7g}', flush=True)
++                sample.update(t=step, coarse_steps=step, fine_steps=2*step)
++                report['samples'].append(sample)
++                print(json.dumps(sample), flush=True)
+                 if step in TIMES:
+-                    sample.update(coarse_steps=step, fine_steps=2*step)
+-                    report['samples'].append(sample)
+                     snapshots.append(fields)
+         with tempfile.TemporaryDirectory(prefix='.plot-', dir=out) as cache:
+             os.environ['MPLCONFIGDIR'] = cache
diff --git a/research/fixed_patch_jet_records_20261013/manifest.json b/research/fixed_patch_jet_records_20261013/manifest.json
new file mode 100644
index 0000000..1d616c2
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/manifest.json
@@ -0,0 +1,58 @@
+{
+  "case_runs_total": 2,
+  "this_round_runs": 1,
+  "exit_code": 0,
+  "records": 25,
+  "baseline_files_checked": 543,
+  "unchanged_baseline_files": 542,
+  "changed_files": [
+    "examples/fixed_patch_jet.py"
+  ],
+  "diff": {
+    "added": 25,
+    "removed": 11
+  },
+  "output_bytes": 199615,
+  "files": {
+    "examples/fixed_patch_jet.py": {
+      "bytes": 10650,
+      "sha256": "7d6370fe6d8b723b1b3e1492e89fcc72562383c0dc030c25a254ac3fc899845a"
+    },
+    "research/fixed_patch_jet_records_20261013/incremental.patch": {
+      "bytes": 5539,
+      "sha256": "63485fb4eee8e2e89b683961aee32a6ca00ef5e607a362efb3290f3a08809222"
+    },
+    "research/fixed_patch_jet_records_20261013/baseline.json": {
+      "bytes": 71228,
+      "sha256": "d73ddb2a6629f03655aa05fae08bb4bbc9474c686af56dbe29c99d6491b7508e"
+    },
+    "research/fixed_patch_jet_records_20261013/before.json": {
+      "bytes": 690,
+      "sha256": "68ec7ef820d5f826b6e24c6afdef71c76bd22400393815321ac3a1905c437796"
+    },
+    "research/fixed_patch_jet_records_20261013/notes.txt": {
+      "bytes": 2449,
+      "sha256": "6d55a6395833fa02883357752ab3d8ea43df516fbcb40e4006fb1756757b1e99"
+    },
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+      "bytes": 20750,
+      "sha256": "6e579eff0c1762ba31d8b1cee709e0cdba2e3f408432b71fe374b2d9f450665c"
+    },
+    "research/fixed_patch_jet_records_20261013/results.json": {
+      "bytes": 1136,
+      "sha256": "7997ee1626ad0640a9d362499c8e0eeefe9d71913fef5f2280112d5bdc9b50d4"
+    },
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+      "bytes": 32817,
+      "sha256": "a448c2e66a56ee48071315d6f73d0ec1afccc29d680ab3a40d51d1df62dd973a"
+    },
+    "research/fixed_patch_jet_records_20261013/output/velocity.png": {
+      "bytes": 116196,
+      "sha256": "7c67c5f64a4bec94547c0ac7833e6d47eeaae9696904c1465a9d5d969008b79d"
+    },
+    "research/fixed_patch_jet_records_20261013/output/layout.png": {
+      "bytes": 50602,
+      "sha256": "678ba19a51c112960ace2a4b8d9d94e43287d97c3a6ef892684630ab37b70255"
+    }
+  }
+}
diff --git a/research/fixed_patch_jet_records_20261013/notes.txt b/research/fixed_patch_jet_records_20261013/notes.txt
new file mode 100644
index 0000000..b58cec1
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/notes.txt
@@ -0,0 +1,7 @@
+Second same-parameter case run, explicitly authorized to repair recording/captions. Total case executions now2; no third run. Same48x48, bounds(16,4,32,28), W12/A.02/nu.1/rho1, initial state, guard values and1200 coarse/2400 fine steps. Only example record/description/caption changes; all other baseline files unchanged.
+Original run source saved byte-for-byte at research/fixed_patch_jet_20261013/fixed_patch_jet.py, SHA256 f27cd067fd7b9a7c6d7fab19fa471fe0617ee67889ae3931048557cc5659181b. Original PNG/stdout/summary/results/manifest retained unmodified. Historical source/doc wording is retained as evidence, not silently rewritten.
+New stdout.txt is unmodified directly redirected merged stdout/stderr; 25 complete JSON samples exactly match output/summary.json.samples at0,50,...1200. Records include t, macro Q_in/out=sum(rho*vy), node-weighted leaf mass/change, density deviation, sampled maximum Mach and two centerline probes at16.25(fine)/32.5(coarse) with explicit native-column arithmetic mean. Only three macro-field snapshots retained for plots. Native-cell plots inspected, on-site clipping preserved; new captions note flow may cross patch sides and nozzle remains coarse.
+Measured exit0, elapsed6.702868s, sampled maximum Mach0.0341615929682, sampled rho range[0.992553949356,1.010591745377]. Discrete leaf mass2208.00001640618 ->2202.30112983007, delta -5.69888657611. Final macro Q_in0.127690201625, Q_out0.0306652393192. Three shared snapshot scalar diagnostics and fluxes are identical to first run. Do not infer steady state or population-budget closure from these observations. Sampling every50 steps is not a bound on every-step maxima.
+Scale estimates use continuous peak A=.02, not mean inlet velocity; on-site H=NY-3=45. W/A600, H/A2250, W^2/nu1440, H^2/nu20250; acoustic crossing~77.94 is not a transient-decay time.
+Live precheck UUID/occupancy/VRAM/compute-apps/RAM in before.json. Real production compilation, private scratch/plot cache, no256MiB cap. Peak sampled group RSS281206784 bytes; minimum RAM63706316800 bytes, minimum GPU free15826MiB; combined task temporary/related evidence peak2192956 bytes (<2GB). Own temporary runner, compilation scratch and plot cache removed. No environment/system/dependency/DynamisLab edits, commit or push.
+Read-only agent confirmed no numerical/guard change and no backend/kernel/helper modification. AST syntax passed before execution; no other tests or numerical cases run.
diff --git a/research/fixed_patch_jet_records_20261013/results.json b/research/fixed_patch_jet_records_20261013/results.json
new file mode 100644
index 0000000..788af64
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/results.json
@@ -0,0 +1,34 @@
+{
+  "case_run_number": 2,
+  "command": [
+    "/usr/bin/prlimit",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/examples/fixed_patch_jet.py",
+    "--output",
+    "/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "TMPDIR": "/tmp/celeris-jet-records-run-gnfs6m58"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 6.70286765601486,
+  "peak_sampled_group_rss_bytes": 281206784,
+  "min_ram_available_bytes": 63706316800,
+  "min_gpu_free_mib": 15826,
+  "ram_reserve_bytes": 6405983846,
+  "vram_reserve_mib": 1614,
+  "peak_combined_temporary_and_related_evidence_bytes": 2192956,
+  "temporary_budget_bytes": 2000000000,
+  "termination_reason": null,
+  "monitor": "Own process group RSS recorded, not capped; live RAM/VRAM and temp sampled, not OS hard limits"
+}
diff --git a/research/fixed_patch_jet_records_20261013/stdout.txt b/research/fixed_patch_jet_records_20261013/stdout.txt
new file mode 100644
index 0000000..a765b06
--- /dev/null
+++ b/research/fixed_patch_jet_records_20261013/stdout.txt
@@ -0,0 +1,26 @@
+{"finite": true, "rho_min": 0.9999999403953552, "rho_max": 1.0, "speed_max": 0.0197231937199831, "sampled_max_Mach": 0.03416157361053414, "density_deviation": 5.960464477539063e-08, "discrete_leaf_mass": 2208.0000164061785, "mass_change": 0.0, "macro_sum_rho_v": {"Q_in": 0.12800518795847893, "Q_out": -2.682209014892578e-07}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.0, 0.0, -5.587935447692871e-09]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.0, 0.0, -5.587935447692871e-09]}], "t": 0, "coarse_steps": 0, "fine_steps": 0}
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+{"finite": true, "rho_min": 0.9945453405380249, "rho_max": 1.0000394582748413, "speed_max": 0.019723183472220768, "sampled_max_Mach": 0.03416155586088911, "density_deviation": 0.005454659461975098, "discrete_leaf_mass": 2205.237119223457, "mass_change": -2.7628971827216446, "macro_sum_rho_v": {"Q_in": 0.12783589214086533, "Q_out": 0.25539055839180946}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9980476796627045, -5.601396359480762e-09, 0.007080950505634613]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9994752705097198, -4.472928188196246e-08, 0.005606726710118295]}], "t": 800, "coarse_steps": 800, "fine_steps": 1600}
+{"finite": true, "rho_min": 0.9931564927101135, "rho_max": 1.000000238418579, "speed_max": 0.019723179656447747, "sampled_max_Mach": 0.03416154925177637, "density_deviation": 0.006843507289886475, "discrete_leaf_mass": 2200.3033418026753, "mass_change": -7.696674603503197, "macro_sum_rho_v": {"Q_in": 0.1276633646339178, "Q_out": 0.15738135389983654}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.995688796043396, 1.777174654169606e-08, 0.0056219994183139]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9968701601028442, 3.7369864678042045e-09, 0.003516295929207963]}], "t": 850, "coarse_steps": 850, "fine_steps": 1700}
+{"finite": true, "rho_min": 0.993564784526825, "rho_max": 1.000000238418579, "speed_max": 0.019723168988232915, "sampled_max_Mach": 0.034161530773886256, "density_deviation": 0.006435215473175049, "discrete_leaf_mass": 2203.472729786299, "mass_change": -4.527286619879305, "macro_sum_rho_v": {"Q_in": 0.1277082972228527, "Q_out": 0.007872957736253738}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9970619380474091, 5.6019655037608065e-09, 0.004682498959001465]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9991383850574493, -3.72778494670464e-09, 0.0010103030911885196]}], "t": 900, "coarse_steps": 900, "fine_steps": 1800}
+{"finite": true, "rho_min": 0.9997681975364685, "rho_max": 1.0051435232162476, "speed_max": 0.019723180265717073, "sampled_max_Mach": 0.0341615503070618, "density_deviation": 0.005143523216247559, "discrete_leaf_mass": 2209.9437092989683, "mass_change": 1.9436928927898407, "macro_sum_rho_v": {"Q_in": 0.1285070050507784, "Q_out": 0.001014290377497673}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.0013298392295837, 2.1397079474795436e-08, 0.003988593510698206]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.0001946687698364, -5.121277207651142e-08, 0.0006442091845156772]}], "t": 950, "coarse_steps": 950, "fine_steps": 1900}
+{"finite": true, "rho_min": 0.9999998211860657, "rho_max": 1.007829189300537, "speed_max": 0.019723195956038383, "sampled_max_Mach": 0.03416157748349549, "density_deviation": 0.00782918930053711, "discrete_leaf_mass": 2215.248868701514, "mass_change": 7.248852295335382, "macro_sum_rho_v": {"Q_in": 0.12884884513914585, "Q_out": 0.0783053319901228}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.0045344233512878, 3.708970133368847e-08, 0.005484848626894535]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.0028420090675354, 2.7876626557184095e-09, 0.002498106860624199]}], "t": 1000, "coarse_steps": 1000, "fine_steps": 2000}
+{"finite": true, "rho_min": 0.9999998211860657, "rho_max": 1.0071310997009277, "speed_max": 0.019723162551660844, "sampled_max_Mach": 0.0341615196254164, "density_deviation": 0.007131099700927734, "discrete_leaf_mass": 2213.121662114281, "mass_change": 5.121645708102733, "macro_sum_rho_v": {"Q_in": 0.1287609599530697, "Q_out": 0.23961861431598663}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.0033761858940125, 1.948702402629945e-08, 0.006330294274771218]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [1.001342535018921, 2.418192186307541e-08, 0.005024741082302464]}], "t": 1050, "coarse_steps": 1050, "fine_steps": 2100}
+{"finite": true, "rho_min": 0.9964147210121155, "rho_max": 1.0018093585968018, "speed_max": 0.019723162200346454, "sampled_max_Mach": 0.03416151901692203, "density_deviation": 0.0035852789878845215, "discrete_leaf_mass": 2206.7887076763436, "mass_change": -1.2113087298348546, "macro_sum_rho_v": {"Q_in": 0.12807970866560936, "Q_out": 0.2554724644869566}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9992902874946594, -1.4911744245216772e-08, 0.007389858762817912]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9998897016048431, -3.44636083569892e-08, 0.005732718796797301]}], "t": 1100, "coarse_steps": 1100, "fine_steps": 2200}
+{"finite": true, "rho_min": 0.9931712746620178, "rho_max": 1.000000238418579, "speed_max": 0.019723172283986106, "sampled_max_Mach": 0.03416153648229823, "density_deviation": 0.006828725337982178, "discrete_leaf_mass": 2201.227777376771, "mass_change": -6.772239029407501, "macro_sum_rho_v": {"Q_in": 0.12766188196837902, "Q_out": 0.1938594225794077}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9959544539451599, -9.351055873348861e-09, 0.005925549967763543]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9975717067718506, 3.6411556051212644e-08, 0.00414892074651798]}], "t": 1150, "coarse_steps": 1150, "fine_steps": 2300}
+{"finite": true, "rho_min": 0.9934006929397583, "rho_max": 1.000000238418579, "speed_max": 0.01972318067164439, "sampled_max_Mach": 0.03416155101014853, "density_deviation": 0.006599307060241699, "discrete_leaf_mass": 2202.30112983007, "mass_change": -5.6988865761086345, "macro_sum_rho_v": {"Q_in": 0.12769020162522793, "Q_out": 0.030665239319205284}, "centerline": [{"level": 1, "x": 24, "y": 16.25, "sampled_x": [23.75, 24.25], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9964200258255005, -5.613009959780303e-09, 0.0051035086848514625]}, {"level": 0, "x": 24, "y": 32.5, "sampled_x": [23.5, 24.5], "rule": "arithmetic mean of two neighboring native columns", "rho_ux_uy": [0.9982107579708099, -9.338345695949091e-10, 0.001630484555699851]}], "t": 1200, "coarse_steps": 1200, "fine_steps": 2400}
+complete: last synchronized coarse step 1200; output=/home/frank14f/CelerisLab/research/fixed_patch_jet_records_20261013/output
diff --git a/research/j1-2026-10-12/REVIEW.md b/research/j1-2026-10-12/REVIEW.md
new file mode 100644
index 0000000..8f469da
--- /dev/null
+++ b/research/j1-2026-10-12/REVIEW.md
@@ -0,0 +1,55 @@
+# J1 两平面吹吸：限定实施与验收
+
+2026-10-12。以下门槛在本包第一次数值测试前写定。唯一写入者root；保留起点工作树，`baseline.json`及`baseline-status.txt`为证。仅独立CelerisLab，使用既有pycuda_3_10解释器和进程级PYTHONPATH；先查GPU0/1空闲，仅占用空闲获准设备。不提交或推送。
+
+## 模型与时序
+
+D2Q9/SRT/FP32/unshifted/double-buffer，无对象、体积力、LES。新on-site模式默认关闭，x周期，物理平面y=1与NY−2，H=NY−3；下壁(0,V)，上壁(U,V)。上下helper只补poststream未知方向，不碰撞或存储；融合核顺序为pull到t+dt、重建到达时刻速度、同节点碰撞、存postcollision g(t+dt)。初态为rho0、线性u、常量v=V的局部平衡，边界初态满足目标；后续不以解析指数场初始化来回避收敛。
+
+参考：`research/design-2026-10-09/jet-study.md`中Zou–He/Ho scheme A原文核对与矩公式；本地`ref/OpenLB/src/boundary/zouHeDynamics.hh`的missing population重建；现有paired D2Q9方向表和pull时序为地址依据。连续解v=V，u=U*expm1(Vy/nu)/expm1(VH/nu)，V=0取线性极限。连续解不是精确离散LBM解；预期小Ma下有截断误差与FP32舍入，若不满足下列候选门槛须报告失败，不能静默放宽。
+
+## 预先固定的有界验证
+
+- 主案例NX=16、H=32、nu=.1、U=.02、rho0=1，V依次0、+.001、−.001、+.01、−.01；Re_U=6.4，最大Ma约.039。先不铺网格矩阵，也不声称证明二阶收敛。
+- 采样间隔ceil(.5*H²/(pi²*nu))=519步，最多40个间隔=20760步/案例。至少8个间隔后才允许判稳；连续4个间隔的u剖面RMS变化/U≤2e−5、v剖面RMS变化≤2e−7，且每间隔质量相对变化≤2e−6。最后4间隔质量相对跨度≤6e−6。不能把持续质量增长作为gauge freedom接受。
+- H32内部u连续解析剖面相对L2≤1e−3；v最大绝对误差≤2e−6；非零V内部三个独立截面的实测Σrho*v相对rho_bar*V*NX误差≤1e−3，V=0用绝对平均速度≤2e−6。不使用重建节点的赋值验证通量。
+- 全域质量统计仅含y=1..NY−2，不含ghost。末态相对初态质量偏移≤1e−3，另以上述增量/跨度独立约束漂移；记录全部采样质量和剖面残差，不能仅记录最终密度范围。
+- 实际population跨界收支：测试临时CUDA构建在真实SRT调用前记录边界重建后的未知incoming，以及collision前后质量差；结合旧postcollision outgoing，核对16个连续步的ΔM=入−出+collision舍入。纯周期x对消；全局每步预算残差/M≤2e−7，另报告未加collision舍入的物理残差，不将记录器加进生产kernel。
+- helper上下方向、V正/负/零及非平衡已知分布：未知方向外逐值不变，独立质量/动量矩误差≤3e−7（rho O(1)）；平衡保持同容差。
+- 关闭模式：与本包起点源码同参数、同初值的短默认通道结果逐值相同；同时运行受影响配置/恢复回归。不声明全部旧工况或性能已重新验证。
+
+完整执行命令、原始日志、结果和本包增量将在本目录追加；任何门槛变化必须显式记录，当前未运行数值测试。
+
+## 完成记录（以上为运行前冻结记录）
+
+本包限定实现完成，门槛未改。生产代码新增75行、删除5行；配置说明新增15行；测试/验证新增364行。`incremental.diff`相对于本包起点的脏工作树生成，不是相对于HEAD。未提交、推送、安装依赖或修改DynamisLab。新增模式没有额外生产kernel启动；未进行性能基准，因此不声称已证明性能无回退。
+
+CPU针对性回归77 passed、13 subtests passed（1.30秒）；checkpoint GPU回归10 passed、8 deselected（34.31秒）。五个J1案例全部通过，包括独立内部截面通量、末段质量变化与实际population预算。默认关闭模式的7步场和flags与本包起点逐值相同。只读architecture复核通过，没有发现限定范围内必须修复的项。
+
+| V | 收敛步数 | u相对L2 | v最大绝对误差 | 相对初态质量偏移 | 末4间隔质量相对跨度 | 内部通量误差 |
+| --- | ---: | ---: | ---: | ---: | ---: | ---: |
+| 0 | 4152 | 1.66909e-5 | 8.00937e-8 | 2.98475e-7 | 1.33772e-8 | 4.84288e-8（绝对平均速度） |
+| +.001 | 7785 | 7.27898e-4 | 2.53653e-7 | 5.01238e-5 | 3.51193e-7 | 2.53631e-4（相对） |
+| −.001 | 7785 | 6.86307e-4 | 1.72778e-7 | 4.90631e-5 | 2.53997e-9 | 1.61564e-4（相对） |
+| +.01 | 9342 | 1.73175e-4 | 1.63549e-7 | 6.19301e-5 | 2.08842e-9 | 8.44460e-6（相对） |
+| −.01 | 8304 | 2.44096e-4 | 1.76794e-7 | 4.90692e-5 | 4.40262e-9 | 9.94338e-6（相对） |
+
+每例末态再审计16步，审计版与普通版逐值一致。独立记录实际collision舍入后，预算残差均为0；这是用双精度累加已记录FP32 populations所得的离散收支一致性，不代表连续物理误差为0。不扣除collision舍入时，最大相对物理收支残差为7.733e-9。完整内部实测通量、质量历史、剖面及逐步预算见`results.json`。
+
+本包只实现全平面固定速度边界，限定D2Q9/SRT/FP32/unshifted/double_buffer、无对象/体积力/LES。尚不是有限slot Jet；未扩展曲面、多层网格、AMR，也未证明网格收敛阶。
+
+## 执行与原始证据
+
+所有命令工作目录均为`/home/frank14f/CelerisLab`；解释器、Python导入和CUDA源码位置已校验，见`baseline.json`与`results.json`。每次GPU运行前检查物理GPU0/1空闲；实际仅用GPU0。执行命令如下：
+
+```bash
+env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_planar_velocity.py tests/unit/test_build_contracts.py tests/unit/test_state_regressions.py tests/unit/test_simulation_lifecycle.py -q --tb=short -p no:cacheprovider > research/j1-2026-10-12/cpu.log 2>&1
+env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_j1.py --output research/j1-2026-10-12/results.json --baseline-kernels /tmp/celeris-j1-before/src/CelerisLab/lbm/kernels > research/j1-2026-10-12/gpu-validation.log 2>&1
+env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/integration/test_state_gpu.py -k checkpoint -q --tb=short -p no:cacheprovider > research/j1-2026-10-12/checkpoint-gpu.log 2>&1
+```
+
+第一次J1执行在V=0数值计算后因NumPy bool不能序列化JSON而退出，原始记录保留为`gpu.log`。只将输出的steady转为Python bool后，按同一门槛完整重跑；成功记录为`gpu-validation.log`。完成数值验证后将`--baseline-kernels`改为可选，便于日后只重跑五例；省略时旧模式比较明确记录为null，不视为已通过该比较。此CLI变动通过`--help`检查，数值路径未改动。
+
+## 保存与清理
+
+所有起点manifest文件仍存在，只有diff列出的9个已有文件发生本包修改，另新增4个实现/测试文件。四份config头文件及`tests/postproc/experiment.ipynb`均与起点SHA256一致。`git diff --check`通过，增量补丁反向适用检查通过。保留本目录原始成功/失败日志；临时审计构建自动清除。起点副本可由当前源码和增量补丁反向重建，临时重复备份在完成核验后清除。停在此步，等待主线程复核。
diff --git a/research/j1-2026-10-12/baseline-status.txt b/research/j1-2026-10-12/baseline-status.txt
new file mode 100644
index 0000000..64ca05a
--- /dev/null
+++ b/research/j1-2026-10-12/baseline-status.txt
@@ -0,0 +1,62 @@
+ M pyproject.toml
+ M setup.py
+ M src/CelerisLab/__init__.py
+ M src/CelerisLab/body/__init__.py
+ M src/CelerisLab/body/ddf_patch.py
+ M src/CelerisLab/body/manager.py
+ M src/CelerisLab/body/preprocess/flag_overlay.py
+ M src/CelerisLab/common/__init__.py
+ M src/CelerisLab/common/checkpoint.py
+ M src/CelerisLab/config.py
+ M src/CelerisLab/configs/CONFIG.md
+ M src/CelerisLab/cuda/__init__.py
+ M src/CelerisLab/cuda/compiler_v2.py
+ M src/CelerisLab/cuda/context.py
+ M src/CelerisLab/lbm/__init__.py
+ M src/CelerisLab/lbm/curved_links.py
+ M src/CelerisLab/lbm/field.py
+ M src/CelerisLab/lbm/initializers.py
+ M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh
+ M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh
+ M src/CelerisLab/lbm/kernels/config/config_grid.h
+ M src/CelerisLab/lbm/kernels/config/config_method.h
+ M src/CelerisLab/lbm/kernels/config/config_objects.h
+ M src/CelerisLab/lbm/kernels/config/config_physics.h
+ M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh
+ M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh
+ M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh
+ M src/CelerisLab/lbm/kernels/step/aux_kernels.cu
+ M src/CelerisLab/lbm/kernels/step/esopull_sync.cu
+ M src/CelerisLab/lbm/kernels/step/init_flow.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu
+ M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh
+ M src/CelerisLab/lbm/stepper.py
+ M src/CelerisLab/simulation.py
+ M tests/integration/test_body_sync_e2e.py
+ M tests/integration/test_ddf_patch.py
+ M tests/integration/test_sync_bodies_skeleton.py
+ M tests/integration/test_unified_obs.py
+ M tests/postproc/experiment.ipynb
+ M tests/validation/run_kan99b_rotating_cylinder.py
+ M tests/validation/run_sah04_st_matrix.py
+ M tests/validation/test_sensor_accuracy.py
+?? docs/design/
+?? docs/multilevel_grid_architecture_analysis.md
+?? research/
+?? "tests/audit/body\345\210\240\345\207\217\345\212\237\350\203\275.md"
+?? tests/integration/_cases.py
+?? tests/integration/test_numerical_gpu.py
+?? tests/integration/test_runtime_contracts_gpu.py
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new file mode 100644
index 0000000..ab5852b
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+    "src/CelerisLab/lbm/kernels/boundary/inlet/channel_stabilized.cuh": "efe077afcbb6b731256a987c2fd79a1dbc470c902f87070d60421ea6cb13d4e2",
+    "src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh": "f3cec54c8873c65b3dca4375605d2c89a8727765884d3954c235242fdff9c6ba",
+    "src/CelerisLab/lbm/kernels/boundary/inlet/equilibrium.cuh": "f0964c811b2c41a5aaa1c6d99c490b06e850c634eb8749f1f05ef61f93c2de1d",
+    "src/CelerisLab/lbm/kernels/boundary/inlet/regularized.cuh": "943d4a571818bacb89c70bccfaac202691121e3e385803ce6309123a0a03ddaf",
+    "src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh": "e73e66b853b1e4e0e30d8f4185d832aa414ce670a1813ce2b5459f2887f71f89",
+    "src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh": "de8b213a6da42c2e5e9f8966199fc66ea4541b85144a90f3f5dbad3c6ab63b97",
+    "src/CelerisLab/lbm/kernels/boundary/outlet/pressure_neq.cuh": "c8b2adc66d12fe602076ddc9693c5c208711fcaddb58aa9a31401a269f51c4c4",
+    "src/CelerisLab/lbm/kernels/config.h": "7d1124125e0b354558297934460e64c760fb68cdd7bf6d01a1238bb2eaab8c37",
+    "src/CelerisLab/lbm/kernels/config/config_grid.h": "8be3a7cf74ba30d7fd3074fed79e63dbda7311c4d03b454ea641bf298ffeaa8d",
+    "src/CelerisLab/lbm/kernels/config/config_method.h": "3db4e16ef2c6b22349d04e6aa8ab04bdfe0eb784f9f3a98277e15dbed1835d81",
+    "src/CelerisLab/lbm/kernels/config/config_objects.h": "dbb93c063586da278c15d95e23f84c12e728f4f5f1bbc3980fe9cedaa6fff90e",
+    "src/CelerisLab/lbm/kernels/config/config_obs.h": "c11e2249359145b5c4cbaaf0487506fa77c1f4b82c7c169ddc574aa0babcd727",
+    "src/CelerisLab/lbm/kernels/config/config_physics.h": "26df33c2960ba36f3283e19b55b4ea92e50e4efda705f9ebfbf3f875a4092c59",
+    "src/CelerisLab/lbm/kernels/core/descriptors.cuh": "8440bc14857da9007982650f828a23608eec9f7cc4bf772e8c8dc1239cb45356",
+    "src/CelerisLab/lbm/kernels/core/flags.cuh": "0025705f24710330d9d9195f713879bfb650a85a3449baef0e196b831af104ab",
+    "src/CelerisLab/lbm/kernels/core/layout.cuh": "1fbd820021c89ac3efcde24145996cb0147769e607e498e61f308ed3e0b13706",
+    "src/CelerisLab/lbm/kernels/core/obs.cuh": "b742b77c9f61e1f020fe9922c3838ae9d855e17b381154958b58f10a22938922",
+    "src/CelerisLab/lbm/kernels/core/params.cuh": "6e18bf730d936d940e3d85452f0714a2eaae31bf41002f9fd520ec5b372878dd",
+    "src/CelerisLab/lbm/kernels/core/precision.cuh": "849df14b4cce50af52399e4b8f3e997196f3ae5f1163f68e28df3e6b2507a8c4",
+    "src/CelerisLab/lbm/kernels/kernel_v2.cu": "5bcc192e2c38371d4b24b6725f75fec7d00364557c4b4536b064edf2ec9c75c5",
+    "src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh": "aee444eb60c47a3fd518dca975d1af05425a0818a0ec6c3fb3f6150f60c2cb44",
+    "src/CelerisLab/lbm/kernels/operators/collision_srt.cuh": "6b7ff842f392c8f853d2d1a97cc69bfe50f21283f73e659404da07cf6c95f5e1",
+    "src/CelerisLab/lbm/kernels/operators/collision_trt.cuh": "9725b9840b9ad8b4ec7be61ff5d06d3151e86d1a87585c13f2fbf934d0d2c5f6",
+    "src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh": "969a430c1af03f32e3bd0df95d805e64f56334717c44dd4ba208ba503062a24b",
+    "src/CelerisLab/lbm/kernels/operators/helpers.cuh": "0b3a4d95d7d19f5fec09e5423b8f4cc99f8a226b541967425967330da5a051ec",
+    "src/CelerisLab/lbm/kernels/operators/macro.cuh": "e27c1c410dc857be98da4596568e405eeaf88701d291ac0e398aa9cd23dee740",
+    "src/CelerisLab/lbm/kernels/operators/turbulence_smag.cuh": "ff7f000297ee0817e255ad9fcb6a13b647e3ddd5b206518d35f38d2895a9f501",
+    "src/CelerisLab/lbm/kernels/step/aux_kernels.cu": "bb7f07d898f0d5151e5bd0f45e6bd819c5e83a345a265b73204906ac3cc29db4",
+    "src/CelerisLab/lbm/kernels/step/esopull_macro.cu": "c73116020ca217ede1e4de27c8269c31f9d91e33433ac8252a21e9b14187c50f",
+    "src/CelerisLab/lbm/kernels/step/esopull_sync.cu": "c0ff3e72900c3ab89a05dd03684e96d3b740cf1672d565727fc2af165933d087",
+    "src/CelerisLab/lbm/kernels/step/init_flow.cu": "b1139addaf8c2fa8532c167b4324b38ddd5b931cc499152c7c287710746eeaa6",
+    "src/CelerisLab/lbm/kernels/step/one_step_double.cu": "9bbf48e0c907dc5e0bf9e8fb653acd09f49ebed7208dd595c802d07f7439e289",
+    "src/CelerisLab/lbm/kernels/step/one_step_esopull.cu": "aa223b2744ae6c9125673df311a96ce588032c1ba58bebb11fd33ecb990f8ed4",
+    "src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh": "dd5a9091628b079efd97e53fd49e52d09dcee88529235db77a5648e02937af6e",
+    "src/CelerisLab/lbm/kernels/streaming/esopull_single_buffer.cuh": "77ed4ab9a0ebc5ff62a91a7c39066ef395391ae36e9040a69fb2bd8b1626dc79",
+    "src/CelerisLab/lbm/kernels/streaming/pull_double_buffer.cuh": "b65d741ed78b7b62f99531ba0c0ce1936663d8dc9640e7d7d16c707f1baf6549",
+    "src/CelerisLab/lbm/stepper.py": "e9e51e3a902fbda086d4707c0487e7b1dea6246fab290a24d82bd52d4296410e",
+    "src/CelerisLab/simulation.py": "f701d60981d73df688e1284a85f4e42e732416253a631fb81d063490890490f6",
+    "tests/audit/Force_region.md": "3092080afe4a30665fe1b721803621ba9d0dd5d20ad17826984d94efc160fdac",
+    "tests/audit/Force_region_validation.md": "279a4484d1bfca0fd67aed4de3282d547aa048f89389420d8e5f2fd86db54fc2",
+    "tests/conftest.py": "fa0ec26667872c9c1011d608310d2551fd24719b5d216f06d923ff4c74c73237",
+    "tests/integration/__init__.py": "c354e43ba09b55a8013a2df2069438740b5f48b5917d855e52e33ab5d7da5a6c",
+    "tests/integration/test_body_sync_e2e.py": "d29f01771f3512a4b3ad06fae4ee952327d7fd9f0476942402fe92e9e327fcec",
+    "tests/integration/test_ddf_patch.py": "dda2abba32ca13e17098232f2831a0b1b66439c35f8931d9997a0257250c1281",
+    "tests/integration/test_sync_bodies_skeleton.py": "65f55a0980659b49ae0027f0642a27e2ebaead226ef083f233e878150884b07c",
+    "tests/integration/test_unified_obs.py": "4a681536099741d92bdc258525fe3374cbdbeba0d49996e53808381a1b6a13fa",
+    "tests/postproc/experiment.ipynb": "c6b45db1c57200f0777213ef8d44cb4996c1aa7a5fb42b968b77e56f51b4fca4",
+    "tests/postproc/run_exp_ctrl_matrix_streakline.py": "529d5f31a3862080f890c65177502b589710b2d960ddf131abaf7dc2f9e2a96f",
+    "tests/postproc/run_exp_ctrl_matrix_vorticity.py": "b7e0c4113111b9b677f321750c0055656ccfa4f45c25fe7846f3ed22f30d1467",
+    "tests/postproc/run_kan99b_streakline.py": "a2bbf3fc629ea170d2d4879317dbf2b81c43378a328100ac1f2ee8d9895666cb",
+    "tests/postproc/run_stealth_steady_sweep.py": "3c32c4dede7da77fd6cfbd3f7b1ff43bb11390aaba621883ec96c6c7fdad5af7",
+    "tests/postproc/streakline_triangle_clean.png": "aa6669de7af6f82e98af25698a15f494e9cea20cb911ad9a30fe52597d33bb79",
+    "tests/postproc/vorticity_triangle_clean.png": "f831b8143b50f038d5920a0658469622655f34176d30cf7216feff108aa2ecaf",
+    "tests/screening/run_config_sweep.py": "5030c99923815ed6ad39110cb56f748c579ff4c66c7c1a368ad1a6008017e2ff",
+    "tests/specs/Kan99b_validation.md": "0d8bf74f2361f863809af1979bf8807adaa423f98321e1104a3d86d8c7a863cf",
+    "tests/specs/Sah04_validation.md": "1d122d29e281b7f50801b148f3314a0e35fdc27ee7d757c0a661243aa6185fb0",
+    "tests/specs/exp_ctrl_matrix.md": "5d9dd2e703582572eb68afe3a7096ea43ec82aa03418d20ed283c5365031e433",
+    "tests/specs/kan99b.md": "b7e0669f0a6b677d902204f3427d1b3ac254bfe70c37d9cf995fb3e8f1fedfb1",
+    "tests/specs/sah04.md": "33dbe5e0fd63738abd055c4aa403c191b6de04e6efdbc568f1942c6d23c7459f",
+    "tests/specs/streakline_notes.md": "cd342d214c07eb608ac2e5b8697322c44c31dbf4d27dfdb5409de46ef474df4b",
+    "tests/unit/__init__.py": "17f57920d9c1ff46096ceb2af008eb38c4b98dc81ffa3c3d310e758e80ca1cd4",
+    "tests/unit/test_body_flags.py": "ac6409157924e15a13a3d2cc2f1a09014b8b0198ba17c824f412ff20b19e2aac",
+    "tests/unit/test_equilibrium.py": "1ecbcc4547b1c846b75320463d828d6a36b6aae73208084fae476b1001c1bb50",
+    "tests/unit/test_pending_edits.py": "905a0dff23b123e8e38aaf364984c810fe51c39acd64aa271e343a4701d3d024",
+    "tests/unit/test_sync_plan.py": "983313ef783143231fa5a392f85f3bac011184773ccaf5d946504c206cabb721",
+    "tests/validation/run_kan99b_rotating_cylinder.py": "323186429a100f36b41ab9b81ade2da6a47e93be3ccb7034a3a6b97f4ee8eb00",
+    "tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
+    "tests/validation/run_sah04_st_matrix.py": "9b9c0ce063e07a316846635ee769b837ed26be6bf039f78f4219c10b516f8006",
+    "tests/validation/test_sensor_accuracy.py": "c6038a9e7a597a1738814bd15e6ecf357cfd271cdc2a132d47943c5280ac0ef9"
+  }
+}
\ No newline at end of file
diff --git a/research/j1-2026-10-12/incremental.diff b/research/j1-2026-10-12/incremental.diff
new file mode 100644
index 0000000..dd9c4e6
--- /dev/null
+++ b/research/j1-2026-10-12/incremental.diff
@@ -0,0 +1,629 @@
+--- a/src/CelerisLab/common/checkpoint.py
++++ b/src/CelerisLab/common/checkpoint.py
+@@ -214,6 +214,10 @@
+ 
+         # Config compatibility check
+         saved_cfg = json.loads(hf.attrs["config_json"])
++        if "on_site_velocity" in (saved_cfg.get("y_wall_bc"), lbm_cfg.y_wall_bc):
++            for key in ("y_wall_bc", "velocity", "wall_normal_velocity"):
++                if saved_cfg.get(key) != getattr(lbm_cfg, key):
++                    raise ValueError(f"Checkpoint on-site boundary mismatch on '{key}'")
+         for key in ("lattice_model", "nx", "ny", "nz", "store_precision",
+                      "streaming", "ddf_shifting"):
+             saved_val = saved_cfg.get(key)
+@@ -279,6 +283,9 @@
+                   if key in raw_params}
+         if not all(np.isfinite(value) for value in params.values()):
+             raise ValueError("Checkpoint runtime parameters must be finite")
++        if lbm_cfg.y_wall_bc == "on_site_velocity" and (
++                bodies.count or any(params.get(k, 0.0) != 0 for k in ("fx", "fy", "fz"))):
++            raise ValueError("on_site_velocity does not support body forces or objects")
+         obs_accum_steps = int(hf.attrs.get("obs_accum_steps", 0))
+         if obs_accum_steps < 0:
+             raise ValueError("Checkpoint obs_accum_steps must be nonnegative")
+--- a/src/CelerisLab/config.py
++++ b/src/CelerisLab/config.py
+@@ -34,7 +34,7 @@
+     "regularized": 3,
+ }
+ OUTLET_MAP = {"neq_extrap": 0, "zero_gradient": 1, "blended": 2}
+-Y_WALL_BC_MAP = {"bounce_back": 0, "free_slip": 1}
++Y_WALL_BC_MAP = {"bounce_back": 0, "free_slip": 1, "on_site_velocity": 2}
+ DTYPE_MAP = {"FP32": "float", "FP64": "double"}
+ 
+ 
+@@ -86,6 +86,7 @@
+     inlet_regularized_neq_damp: float = 0.5
+     outlet_srt_neq_damp: float = 0.5
+     y_wall_bc: str = "bounce_back"
++    wall_normal_velocity: float = 0.0
+     omega_min: float = 0.01
+     omega_max: float = 1.99
+ 
+@@ -127,7 +128,7 @@
+         for name in ("viscosity", "velocity", "rho", "les_cs", "trt_magic_param",
+                      "outlet_blend_alpha", "inlet_trt_neq_damp",
+                      "inlet_regularized_neq_damp", "outlet_srt_neq_damp",
+-                     "omega_min", "omega_max"):
++                     "omega_min", "omega_max", "wall_normal_velocity"):
+             if not math.isfinite(getattr(self, name)):
+                 raise ValueError(f"{name} must be finite.")
+         if self.viscosity <= 0 or self.rho <= 0:
+@@ -150,6 +151,13 @@
+             )
+         if self.dim == 2 and self.nz != 1:
+             raise ValueError("nz must be 1 for 2D")
++        if self.y_wall_bc == "on_site_velocity":
++            if (not self.is_d2q9 or self.collision != "SRT"
++                    or self.streaming != "double_buffer" or self.store_precision != "FP32"
++                    or self.ddf_shifting or self.les_enabled):
++                raise ValueError("on_site_velocity requires D2Q9/SRT/FP32/unshifted/double_buffer without LES")
++            if abs(self.wall_normal_velocity) >= 1:
++                raise ValueError("on_site_velocity requires abs(wall_normal_velocity) < 1")
+         if not (0.0 <= self.inlet_trt_neq_damp <= 1.0):
+             raise ValueError("method.inlet.trt_neq_damp must lie in [0, 1].")
+         if not (0.0 <= self.inlet_regularized_neq_damp <= 1.0):
+@@ -187,7 +195,9 @@
+         """Parameters that cannot change while field allocations/state are retained."""
+         self.validate()
+         return (self.lattice_model, self.nx, self.ny, self.nz, self.data_type,
+-                self.store_precision, bool(self.ddf_shifting), self.streaming)
++                self.store_precision, bool(self.ddf_shifting), self.streaming,
++                (self.velocity, self.wall_normal_velocity)
++                if self.y_wall_bc == "on_site_velocity" else None)
+ 
+     def to_macros(self) -> Dict[str, Any]:
+         """Return flat dict of macro_name → value for header generation."""
+@@ -216,6 +226,7 @@
+             "OUTLET_BLEND_ALPHA": _float_literal(self.outlet_blend_alpha),
+             "OUTLET_BACKFLOW_CLAMP": int(self.outlet_backflow_clamp),
+             "Y_WALL_BC": Y_WALL_BC_MAP[self.y_wall_bc],
++            "WALL_NORMAL_VELOCITY": _float_literal(self.wall_normal_velocity),
+             "OMEGA_COLLISION_MIN": _float_literal(self.omega_min),
+             "OMEGA_COLLISION_MAX": _float_literal(self.omega_max),
+             "TRT_MAGIC_PARAM": _float_literal(self.trt_magic_param),
+@@ -284,6 +295,7 @@
+         inlet_regularized_neq_damp=m["inlet"].get("regularized_neq_damp", 0.5),
+         outlet_srt_neq_damp=m["outlet"].get("srt_neq_damp", 0.5),
+         y_wall_bc=m.get("y_wall_bc", "bounce_back"),
++        wall_normal_velocity=m.get("wall_normal_velocity", 0.0),
+         omega_min=m["omega_guard"]["min"],
+         omega_max=m["omega_guard"]["max"],
+         threads_per_block=c["threads_per_block"],
+--- a/src/CelerisLab/configs/CONFIG.md
++++ b/src/CelerisLab/configs/CONFIG.md
+@@ -101,3 +101,18 @@
+ D2Q9/D3Q19 的 flag 扩展位 `0x0800` 定义为 `FRC_REGION`，用于标记 force_region 类型物体的格子。
+ - ForceRegionKernel 不依赖 flag 位执行，flag 只用于后处理可视化。
+ - `merge_flag_masks` 会正确合并 force_region 的 `FLUID | FRC_REGION` 标记。
++# J1 on-site velocity planes (limited reference case)
++
++Set `method.y_wall_bc` to `"on_site_velocity"` and
++`method.wall_normal_velocity` to V (default 0). This selects an x-periodic
++domain with physical planes through fluid rows y=1 and y=NY−2, H=NY−3.
++The bottom velocity is (0,V); the top is (`physics.velocity`,V).
++These are constant **Cartesian** velocities: positive V injects through the
++bottom and leaves through the top. The selected rows do not also receive
++halfway reflection. Initialization uses a linear tangential profile and V.
++
++Supported only for D2Q9/SRT/FP32/unshifted/double_buffer without LES, objects
++or body forces. Boundary targets and the mode are fixed at construction;
++checkpoint restart requires matching targets. This is an entire-plane
++Couette-throughflow reference, not a finite slot or curved jet API. The default
++`bounce_back` mode and existing configurations retain their previous path.
+--- a/src/CelerisLab/cuda/compiler_v2.py
++++ b/src/CelerisLab/cuda/compiler_v2.py
+@@ -65,6 +65,8 @@
+     macros = cfg.to_macros()
+     if isinstance(n_objects, bool) or not isinstance(n_objects, int) or n_objects < 0:
+         raise ValueError("n_objects must be a nonnegative integer")
++    if cfg.y_wall_bc == "on_site_velocity" and n_objects:
++        raise ValueError("on_site_velocity currently requires an object-free domain")
+     build_dir = tempfile.mkdtemp(prefix="celeris-build-", dir=build_root)
+     try:
+         shutil.copytree(_KERNEL_DIR, build_dir, dirs_exist_ok=True,
+@@ -173,6 +175,7 @@
+ #define OUTLET_BLEND_ALPHA   {m['OUTLET_BLEND_ALPHA']}
+ #define OUTLET_BACKFLOW_CLAMP {m['OUTLET_BACKFLOW_CLAMP']}
+ #define Y_WALL_BC            {m['Y_WALL_BC']}
++#define WALL_NORMAL_VELOCITY {m['WALL_NORMAL_VELOCITY']}
+ 
+ #define OMEGA_COLLISION_MIN {m['OMEGA_COLLISION_MIN']}
+ #define OMEGA_COLLISION_MAX {m['OMEGA_COLLISION_MAX']}
+--- a/src/CelerisLab/lbm/field.py
++++ b/src/CelerisLab/lbm/field.py
+@@ -123,6 +123,8 @@
+         if self.cfg.is_d2q9:
+             flag[0:self.nx] = SOLID | BC_WALL
+             flag[(self.ny - 1) * self.nx:self.ny * self.nx] = SOLID | BC_WALL
++            if self.cfg.y_wall_bc == "on_site_velocity":
++                return flag  # x periodic; physical y planes are the adjacent fluid rows.
+             flag[::self.nx] = SOLID | BC_INLET
+             flag[self.nx - 1::self.nx] = SOLID | BC_OUTLET
+             flag[0] = SOLID | BC_WALL
+@@ -231,6 +233,10 @@
+ 
+         Accepted keys: omega, fx, fy, fz, n_objects.
+         """
++        if self.cfg.y_wall_bc == "on_site_velocity" and (
++                any(float(kwargs.get(k, 0.0)) != 0 for k in ("fx", "fy", "fz"))
++                or int(kwargs.get("n_objects", 0)) != 0):
++            raise ValueError("on_site_velocity does not support body forces or objects")
+         self._runtime_params.update({
+             "omega": float(kwargs.get("omega", self._runtime_params["omega"])),
+             "fx": float(kwargs.get("fx", self._runtime_params["fx"])),
+--- /dev/null
++++ b/src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
+@@ -0,0 +1,22 @@
++// On-site D2Q9 Zou-He velocity closure, paired lattice ordering.
++// Input is poststream f at the arrival time. Only unknown populations change;
++// the caller owns collision/store. No force, shifting or off-lattice walls.
++#ifndef CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
++#define CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
++
++__device__ __forceinline__ void reconstruct_bottom_velocity(float* f, float u, float v)
++{
++    const float rho = (f[0] + f[1] + f[2] + 2.0f*(f[4] + f[6] + f[7])) / (1.0f-v);
++    f[3] = f[4] + (2.0f/3.0f)*rho*v;
++    f[5] = f[6] + 0.5f*(f[2]-f[1]) + 0.5f*rho*u + (1.0f/6.0f)*rho*v;
++    f[8] = f[7] + 0.5f*(f[1]-f[2]) - 0.5f*rho*u + (1.0f/6.0f)*rho*v;
++}
++
++__device__ __forceinline__ void reconstruct_top_velocity(float* f, float u, float v)
++{
++    const float rho = (f[0] + f[1] + f[2] + 2.0f*(f[3] + f[5] + f[8])) / (1.0f+v);
++    f[4] = f[3] - (2.0f/3.0f)*rho*v;
++    f[6] = f[5] + 0.5f*(f[1]-f[2]) - 0.5f*rho*u - (1.0f/6.0f)*rho*v;
++    f[7] = f[8] + 0.5f*(f[2]-f[1]) + 0.5f*rho*u - (1.0f/6.0f)*rho*v;
++}
++#endif
+--- a/src/CelerisLab/lbm/kernels/kernel_v2.cu
++++ b/src/CelerisLab/lbm/kernels/kernel_v2.cu
+@@ -56,6 +56,9 @@
+ #include "boundary/bounce_back.cuh"
+ #include "boundary/curved_boundary.cuh"
+ #include "boundary/inlet_outlet.cuh"
++#if Y_WALL_BC == 2
++#include "boundary/planar_velocity.cuh"
++#endif
+ #include "boundary/ibm_kernels.cuh"
+ 
+ // ============================================================================
+--- a/src/CelerisLab/lbm/kernels/step/init_flow.cu
++++ b/src/CelerisLab/lbm/kernels/step/init_flow.cu
+@@ -49,10 +49,12 @@
+ {
+     if (y == 0u || y == (unsigned int)(NY - 1))
+         return (uint16_t)(FLAG_SOLID | FLAG_BC_WALL);
++#if Y_WALL_BC != 2
+     if (x == 0u)
+         return (uint16_t)(FLAG_SOLID | FLAG_BC_INLET);
+     if (x == (unsigned int)(NX - 1))
+         return (uint16_t)(FLAG_SOLID | FLAG_BC_OUTLET);
++#endif
+     return FLAG_FLUID;
+ }
+ 
+@@ -85,7 +87,15 @@
+     if (is_solid(fl)) {
+         write_rest_equilibrium(fi, k);
+     } else {
++#if Y_WALL_BC == 2
++        // Initial g(0)=feq: both boundary velocities are already satisfied.
++        // Start from linear Couette, not the sought exponential steady profile.
++        float f[NQ];
++        compute_feq(RHO, U0*(float)(y-1u)/(float)(NY-3), WALL_NORMAL_VELOCITY, f);
++        stream_pull_store(k, f, fi);
++#else
+         write_equilibrium(fi, k, inlet_target_u((float)y));
++#endif
+     }
+ #elif DIM == 3
+     unsigned int x, y, z; unsigned long k;
+@@ -138,4 +148,4 @@
+ #endif
+ }
+ 
+-#endif // CELERIS_STEP_INIT_FLOW_CU
+\ No newline at end of file
++#endif // CELERIS_STEP_INIT_FLOW_CU
+--- a/src/CelerisLab/lbm/kernels/step/one_step_double.cu
++++ b/src/CelerisLab/lbm/kernels/step/one_step_double.cu
+@@ -88,7 +88,12 @@
+         bounce_back_swap(f);
+ 
+     if (is_fluid(fl) && (y == 1u || y == (unsigned int)(NY - 2))) {
+-#if Y_WALL_BC == 1
++#if Y_WALL_BC == 2
++        // Reconstruct f(t+dt) on the physical plane, then collide below.
++        // This replaces, rather than compounds, the halfway wall correction.
++        if (y == 1u) reconstruct_bottom_velocity(f, 0.0f, WALL_NORMAL_VELOCITY);
++        else reconstruct_top_velocity(f, U0, WALL_NORMAL_VELOCITY);
++#elif Y_WALL_BC == 1
+         apply_wall_freeslip_d2q9_y_pull(y, f, fi_in, k);
+ #else
+         apply_wall_bb_d2q9_y_pull(y, f, fi_in, k);
+--- a/src/CelerisLab/simulation.py
++++ b/src/CelerisLab/simulation.py
+@@ -115,6 +115,8 @@
+         Returns:
+             int body_id (formal id before initialize; -1 if staged).
+         """
++        if self.lbm_cfg.y_wall_bc == "on_site_velocity":
++            raise ValueError("on_site_velocity currently requires an object-free domain")
+         type_lower = str(type).strip().lower()
+ 
+         if type_lower == "circle":
+--- /dev/null
++++ b/tests/unit/cpp/planar_velocity.cpp
+@@ -0,0 +1,30 @@
++#include <cstdio>
++#include <initializer_list>
++#define __device__
++#define __forceinline__ inline
++#include "boundary/planar_velocity.cuh"
++
++int main() {
++    const int cx[9]={0,1,-1,0,0,1,-1,1,-1};
++    const int cy[9]={0,0,0,1,-1,1,-1,-1,1};
++    const float w[9]={4.f/9,1.f/9,1.f/9,1.f/9,1.f/9,1.f/36,1.f/36,1.f/36,1.f/36};
++    for (int top : {0,1}) for (float rho : {1.f,1.04f})
++    for (float u : {-.02f,0.f,.02f}) for (float v : {-.01f,-.001f,0.f,.001f,.01f})
++    for (int neq : {0,1}) {
++        float f[9];
++        printf("%d %.9g %.9g %.9g %d\n",top,rho,u,v,neq);
++        for (int i=0;i<9;++i) {
++            float cu=cx[i]*u+cy[i]*v;
++            f[i]=w[i]*rho*(1+3*cu+4.5f*cu*cu-1.5f*(u*u+v*v));
++            f[i]+=neq*.0001f*(i-4);
++            // Unknown inputs must be completely overwritten, never consumed.
++            if (cy[i]==(top?-1:1)) f[i]=-7.f-i;
++            printf("%.9g ",f[i]);
++        }
++        puts("");
++        if (top) reconstruct_top_velocity(f,u,v);
++        else reconstruct_bottom_velocity(f,u,v);
++        for (float value : f) printf("%.9g ",value);
++        puts("");
++    }
++}
+--- /dev/null
++++ b/tests/unit/test_planar_velocity.py
+@@ -0,0 +1,95 @@
++"""J1 actual-header moments and bounded host capability contracts."""
++import json
++from pathlib import Path
++from types import SimpleNamespace
++
++import h5py
++import numpy as np
++import pytest
++
++import CelerisLab
++from CelerisLab.config import LBMConfig, load_lbm_config
++from CelerisLab.cuda import compiler_v2 as compiler
++from CelerisLab.common.checkpoint import save_checkpoint, load_checkpoint
++from .test_numerical_operators import compile_run
++from .test_state_regressions import device, make_field, manager
++
++
++def test_planar_helper_moments_and_known_populations(tmp_path):
++    root = Path(__file__).resolve().parents[2]
++    assert Path(CelerisLab.__file__).resolve() == root/'src/CelerisLab/__init__.py'
++    assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == root/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
++    lines = compile_run(tmp_path, 'planar_velocity.cpp', {})
++    cx = np.array([0,1,-1,0,0,1,-1,1,-1])
++    cy = np.array([0,0,0,1,-1,1,-1,-1,1])
++    w = np.array([4/9]+[1/9]*4+[1/36]*4)
++    for start in range(0, len(lines), 3):
++        top, rho, u, v, neq = np.fromstring(lines[start], sep=' ')
++        before, after = [np.fromstring(s, sep=' ') for s in lines[start+1:start+3]]
++        known = cy != (-1 if top else 1)
++        np.testing.assert_array_equal(after[known], before[known])
++        density = after.sum()
++        np.testing.assert_allclose([after@cx, after@cy], density*np.array([u,v]), atol=3e-7, rtol=0)
++        if not neq:
++            cu = cx*u+cy*v
++            expected = w*rho*(1+3*cu+4.5*cu**2-1.5*(u*u+v*v))
++            np.testing.assert_allclose(after, expected, atol=3e-7, rtol=0)
++            assert abs(density-rho) <= 3e-7
++
++
++@pytest.mark.parametrize('override', [
++    dict(collision='TRT'), dict(collision='MRT'), dict(streaming='esopull'),
++    dict(store_precision='FP16S'), dict(ddf_shifting=True), dict(les_enabled=True),
++    dict(lattice_model='D3Q19'), dict(wall_normal_velocity=1.),
++    dict(wall_normal_velocity=float('nan')),
++])
++def test_planar_unsupported_configuration(override):
++    with pytest.raises(ValueError):
++        LBMConfig(y_wall_bc='on_site_velocity', **override).validate_runtime()
++
++
++def test_planar_config_roundtrip_and_fixed_targets(tmp_path):
++    path = Path(__file__).resolve().parents[2]/'src/CelerisLab/configs/config_lbm.json'
++    data = json.loads(path.read_text())
++    data['method'].update(y_wall_bc='on_site_velocity', wall_normal_velocity=-.01,
++                          collision='SRT', streaming='double_buffer',
++                          store_precision='FP32', ddf_shifting=False)
++    data['method']['les']['enabled'] = False
++    path = tmp_path/'config.json'
++    path.write_text(json.dumps(data))
++    cfg = load_lbm_config(str(path))
++    assert float(cfg.to_macros()['WALL_NORMAL_VELOCITY'][:-1]) == -.01
++    with pytest.raises(ValueError, match='object-free'):
++        compiler.generate_config(cfg, n_objects=1, build_root=tmp_path)
++    before = cfg.allocation_signature()
++    cfg.wall_normal_velocity = .01
++    assert cfg.allocation_signature() != before
++
++
++def test_planar_force_rejected_before_state_change(device):
++    field = make_field(device, y_wall_bc='on_site_velocity')
++    before, writes = field._runtime_params.copy(), device.writes
++    with pytest.raises(ValueError, match='body forces'):
++        field.update_params(fx=.001)
++    assert field._runtime_params == before and device.writes == writes
++
++
++@pytest.mark.parametrize('damage', ['target', 'mode', 'force'])
++def test_planar_checkpoint_contract_before_writes(device, tmp_path, damage):
++    field = make_field(device, y_wall_bc='on_site_velocity')
++    bodies = manager(field)
++    bodies.sync_to_gpu(field)
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg, bodies,
++                           str(tmp_path/'plane.h5'))
++    with h5py.File(path, 'a') as hf:
++        if damage == 'force':
++            hf.attrs['runtime_params_json'] = '{"fx":0.001}'
++        else:
++            cfg = json.loads(hf.attrs['config_json'])
++            cfg['wall_normal_velocity' if damage == 'target' else 'y_wall_bc'] = (
++                .01 if damage == 'target' else 'bounce_back')
++            hf.attrs['config_json'] = json.dumps(cfg)
++    writes = device.writes
++    with pytest.raises(ValueError):
++        load_checkpoint(path, field, SimpleNamespace(_step_count=0), field.cfg, bodies)
++    assert device.writes == writes
+--- /dev/null
++++ b/tests/validation/run_j1.py
+@@ -0,0 +1,239 @@
++"""Bounded J1 Couette-throughflow validation; gates fixed before first run.
++
++See research/j1-2026-10-12/REVIEW.md. No production audit kernel or extra launch
++is added: a temporary test build records actual incoming populations and the
++roundoff of the real collision, then is compared with uninstrumented stepping.
++"""
++import argparse
++import hashlib
++import json
++import os
++from pathlib import Path
++import sys
++from tempfile import TemporaryDirectory
++from unittest.mock import patch
++
++import numpy as np
++import pycuda.driver as cuda
++
++import CelerisLab
++from CelerisLab.cuda import compiler_v2 as compiler
++from CelerisLab.simulation import Simulation
++
++ROOT = Path(__file__).resolve().parents[2]
++CX = np.array([0,1,-1,0,0,1,-1,1,-1])
++CY = np.array([0,0,0,1,-1,1,-1,-1,1])
++GATES = dict(u_relative_l2=1e-3, v_max_error=2e-6, flux_relative_error=1e-3,
++             mass_offset=1e-3, mass_window_span=6e-6, mass_chunk_change=2e-6,
++             u_change=2e-5, v_change=2e-7, budget_relative_residual=2e-7)
++
++
++def make_sim(v, mode='on_site_velocity'):
++    config = json.loads((ROOT/'src/CelerisLab/configs/config_lbm.json').read_text())
++    config['grid'].update(nx=16, ny=35, nz=1, lattice_model='D2Q9')
++    config['physics'].update(viscosity=.1, velocity=.02, rho=1.)
++    config['method'].update(collision='SRT', streaming='double_buffer',
++                            store_precision='FP32', ddf_shifting=False,
++                            y_wall_bc=mode, wall_normal_velocity=v)
++    config['method']['les']['enabled'] = False
++    with TemporaryDirectory(prefix='celeris-j1-config-') as folder:
++        lbm, body = Path(folder)/'lbm.json', Path(folder)/'body.json'
++        lbm.write_text(json.dumps(config))
++        body.write_text('{"objects":[]}')
++        return Simulation(str(lbm), str(body), device_id=0)
++
++
++def populations(sim):
++    return sim.get_ddf().reshape(9, sim.field.ny, sim.field.nx).astype(np.float64)
++
++
++def observables(f):
++    interior = f[:, 1:-1, :]
++    rho = interior.sum(axis=0)
++    ux = np.einsum('q,qyx->yx', CX, interior)/rho
++    uy = np.einsum('q,qyx->yx', CY, interior)/rho
++    return rho, ux, uy
++
++
++AUDIT = r'''
++__device__ double j1_incoming[2*NX];
++__device__ double j1_collision[NX*NY];
++__device__ void j1_collide_audit(float* f, float rho, float ux, float uy) {
++    const unsigned x=threadIdx.x+blockIdx.x*blockDim.x, y=blockIdx.y;
++    double before=0.0;
++    for(int i=0;i<NQ;++i) before+=(double)f[i];
++    if(y==1) j1_incoming[x]=(double)f[3]+f[5]+f[8];
++    if(y==NY-2) j1_incoming[NX+x]=(double)f[4]+f[6]+f[7];
++    collide_dispatch(f,rho,ux,uy);
++    double after=0.0;
++    for(int i=0;i<NQ;++i) after+=(double)f[i];
++    j1_collision[y*NX+x]=after-before;
++}
++'''
++
++
++def population_budget(sim):
++    """16 real steps, separate incoming/outgoing/collision records, no targets."""
++    saved = sim.get_ddf().copy()
++    count = sim.stepper.step_count
++    sim.run(16)
++    plain = sim.get_ddf().copy()
++    sim.field.ddf[:] = saved
++    sim.field.upload_ddf()
++    sim.stepper._step_count = count
++    build = compiler.generate_config(sim.lbm_cfg)
++    original_step = sim.stepper.step_fn
++    try:
++        source = Path(build)/'step/one_step_double.cu'
++        code = source.read_text().replace('collide_dispatch(f, rho_n, ux, uy);',
++                                         'j1_collide_audit(f, rho_n, ux, uy);')
++        marker = '__global__ __launch_bounds__(NT, 2)'
++        assert code.count(marker) == 1
++        source.write_text(code.replace(marker, AUDIT+'\n'+marker))
++        audit_hash = hashlib.sha256(source.read_bytes()).hexdigest()
++        ptx = compiler.compile_kernel(build_dir=build)
++        rows = []
++        with sim.ctx.activate():
++            module = compiler.load_module(ptx)
++            params, size = module.get_global('d_params')
++            cuda.memcpy_dtod(params, sim.field.module.get_global('d_params')[0], size)
++            incoming_ptr, _ = module.get_global('j1_incoming')
++            collision_ptr, size = module.get_global('j1_collision')
++            cuda.memset_d8(collision_ptr, 0, size)
++            incoming = np.empty(2*sim.field.nx, dtype=np.float64)
++            collision = np.empty(sim.field.n, dtype=np.float64)
++            sim.stepper.step_fn = module.get_function('OneStep')
++            for _ in range(16):
++                before = populations(sim)
++                mass = before[:, 1:-1].sum()
++                outgoing_bottom = before[[4,6,7], 1, :].sum()
++                outgoing_top = before[[3,5,8], -2, :].sum()
++                sim.run(1)
++                after = populations(sim)
++                cuda.memcpy_dtoh(incoming, incoming_ptr)
++                cuda.memcpy_dtoh(collision, collision_ptr)
++                delta = after[:, 1:-1].sum()-mass
++                bottom = incoming[:sim.field.nx].sum()-outgoing_bottom
++                top = incoming[sim.field.nx:].sum()-outgoing_top
++                physical_residual = delta-bottom-top
++                residual = physical_residual-collision.sum()
++                rows.append(dict(step=sim.stepper.step_count, mass=mass, delta_mass=delta,
++                                 bottom_net_in=bottom, top_net_in=top,
++                                 collision_roundoff=float(collision.sum()),
++                                 physical_residual=physical_residual,
++                                 budget_residual=residual))
++        identical = np.array_equal(sim.get_ddf(), plain)
++        return dict(steps=rows, instrumented_matches_plain=identical,
++                    audit_source_sha256=audit_hash,
++                    max_relative_residual=max(abs(r['budget_residual'])/r['mass'] for r in rows),
++                    max_physical_relative_residual=max(abs(r['physical_residual'])/r['mass'] for r in rows))
++    finally:
++        sim.stepper.step_fn = original_step
++        compiler.cleanup_build_dir(build)
++
++
++def run_case(v):
++    height, nu, speed, nx = 32, .1, .02, 16
++    chunk = int(np.ceil(.5*height**2/(np.pi**2*nu)))
++    with make_sim(v) as sim:
++        sim.initialize()
++        # Reject unsupported entrypoints before observing the reference flow.
++        try:
++            sim.add_body('circle', center=(8,16), radius=2)
++        except ValueError:
++            pass
++        else:
++            raise AssertionError('J1 accepted an object')
++        rho, ux, uy = observables(populations(sim))
++        initial_mass = rho.sum()
++        previous_u, previous_v, previous_mass = ux.mean(axis=1), uy.mean(axis=1), initial_mass
++        history = [dict(step=0, mass=float(initial_mass))]
++        steady = False
++        for sample in range(1, 41):
++            sim.run(chunk)
++            f = populations(sim)
++            if not np.isfinite(f).all():
++                raise AssertionError('Nonfinite J1 populations')
++            rho, ux, uy = observables(f)
++            u, normal, mass = ux.mean(axis=1), uy.mean(axis=1), rho.sum()
++            item = dict(step=sim.stepper.step_count, mass=float(mass),
++                        u_change=float(np.sqrt(np.mean((u-previous_u)**2))/speed),
++                        v_change=float(np.sqrt(np.mean((normal-previous_v)**2))),
++                        mass_change=float(abs(mass-previous_mass)/initial_mass))
++            history.append(item)
++            previous_u, previous_v, previous_mass = u.copy(), normal.copy(), mass
++            tail = history[-4:]
++            steady = sample >= 8 and all(
++                r['u_change'] <= GATES['u_change'] and r['v_change'] <= GATES['v_change']
++                and r['mass_change'] <= GATES['mass_chunk_change'] for r in tail)
++            steady = steady and np.ptp([r['mass'] for r in history[-5:]])/initial_mass <= GATES['mass_window_span']
++            if steady:
++                break
++        y = np.arange(height+1)
++        exact = speed*y/height if v == 0 else speed*np.expm1(v*y/nu)/np.expm1(v*height/nu)
++        relative_l2 = float(np.linalg.norm(u[1:-1]-exact[1:-1])/np.linalg.norm(exact[1:-1]))
++        v_error = float(np.max(np.abs(uy-v)))
++        sections = [8,16,24]  # Distances above physical bottom; none is a BC row.
++        flux = [float(np.sum(rho[s]*uy[s])) for s in sections]
++        target_flux = float(rho.mean()*v*nx)
++        flux_error = max(abs(q-target_flux)/abs(target_flux) for q in flux) if v else max(abs(q)/nx for q in flux)
++        mass_span = float(np.ptp([r['mass'] for r in history[-5:]])/initial_mass)
++        offset = float(abs(mass-initial_mass)/initial_mass)
++        result = dict(v=v, height=height, nx=nx, nu=nu, top_u=speed,
++                      pe=v*height/nu, re=speed*height/nu,
++                      ma=float(np.hypot(speed,v)*np.sqrt(3)),
++                      steps=sim.stepper.step_count, max_steps=40*chunk, steady=bool(steady),
++                      relative_l2=relative_l2, v_max_error=v_error,
++                      mass_offset=offset, mass_window_span=mass_span,
++                      rho_range=[float(rho.min()),float(rho.max())],
++                      section_y=sections, measured_flux=flux, reference_flux=target_flux,
++                      flux_error=flux_error, profile_u=u.tolist(), profile_v=normal.tolist(),
++                      analytic_u=exact.tolist(), history=history)
++        budget = population_budget(sim)
++        result['population_budget'] = budget
++        result['passed'] = bool(steady and relative_l2 <= GATES['u_relative_l2']
++                                and v_error <= GATES['v_max_error']
++                                and flux_error <= (GATES['flux_relative_error'] if v else GATES['v_max_error'])
++                                and offset <= GATES['mass_offset'] and mass_span <= GATES['mass_window_span']
++                                and budget['instrumented_matches_plain']
++                                and budget['max_relative_residual'] <= GATES['budget_relative_residual'])
++        return result
++
++
++def off_path_check(baseline):
++    outcomes = []
++    for kernel_root in (baseline, Path(compiler.kernel_path(''))):
++        with patch.object(compiler, '_KERNEL_DIR', str(kernel_root)):
++            with make_sim(0., mode='bounce_back') as sim:
++                sim.initialize()
++                sim.run(7)
++                outcomes.append((sim.get_ddf().copy(), sim.get_flags().copy()))
++    return bool(all(np.array_equal(a,b) for a,b in zip(*outcomes)))
++
++
++def main():
++    parser = argparse.ArgumentParser(description=__doc__)
++    parser.add_argument('--output', type=Path, required=True)
++    parser.add_argument('--baseline-kernels', type=Path,
++                        help='Optional pre-change CUDA source for the off-mode comparison')
++    args = parser.parse_args()
++    assert Path.cwd() == ROOT == Path('/home/frank14f/CelerisLab')
++    assert Path(CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
++    assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == ROOT/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
++    assert os.environ.get('CUDA_VISIBLE_DEVICES') in ('0','1')
++    report = dict(python=sys.executable, package=CelerisLab.__file__,
++                  cuda_source=compiler.kernel_path('kernel_v2.cu'),
++                  physical_gpu=os.environ['CUDA_VISIBLE_DEVICES'], gates=GATES, cases=[])
++    report['off_path_bitwise_equal'] = (off_path_check(args.baseline_kernels)
++                                        if args.baseline_kernels else None)
++    for v in (0., .001, -.001, .01, -.01):
++        case = run_case(v)
++        report['cases'].append(case)
++        args.output.write_text(json.dumps(report, indent=2)+'\n')
++        print(json.dumps({k:case[k] for k in ('v','steps','steady','relative_l2','v_max_error',
++                                             'mass_offset','mass_window_span','flux_error','passed')}), flush=True)
++    return 0 if report['off_path_bitwise_equal'] is not False and all(c['passed'] for c in report['cases']) else 1
++
++
++if __name__ == '__main__':
++    raise SystemExit(main())
diff --git a/research/j1-2026-10-12/results.json b/research/j1-2026-10-12/results.json
new file mode 100644
index 0000000..56547aa
--- /dev/null
+++ b/research/j1-2026-10-12/results.json
@@ -0,0 +1,2089 @@
+{
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diff --git a/research/j2-slot-2026-10-12/REVIEW.md b/research/j2-slot-2026-10-12/REVIEW.md
new file mode 100644
index 0000000..69fa4d3
--- /dev/null
+++ b/research/j2-slot-2026-10-12/REVIEW.md
@@ -0,0 +1,119 @@
+# J2 静态有限平壁 slot：运行前冻结约定
+
+2026-10-12。root唯一写入，沿用J1能力范围。起点HEAD和208个现有文件的准确SHA256见baseline.json；src/tests副本仅为制作本包增量和旧路径对照。保留此前脏树、checkpoint v3、四个配置头和notebook。不提交推送，不修改其他项目或环境。
+
+## 参考和修改范围（代码修改前记录）
+
+沿用本地lbm-ref-architecture-guard。已搜索并核对ref/OpenLB/src/boundary/zouHeDynamics.hh:67–118，以及research/design-2026-10-09/jet-study.md中Zou–He Eq14–18、Ho scheme A的本地阅读记录。
+
+1. 只重建poststream未知populations；已有paired-D2Q9 helper负责对应方向、密度分母和切向矩修正，不改公式。
+2. reconstruction后在同一节点collision/store。slot与零速flanks共用y=1物理平面，均不额外halfway反射。
+3. 空间目标profile只改变传给helper的局部速度，不改变分布阶段或引入launch。静态幅值不需要时间插值。
+4. profile与离散求和是本包公开的设计约定，不声称由参考文献证明其数值精度；实际流量、对称与收支须实测。
+
+修改范围：config参数/宏/静态签名→compiler生成临时头→planar_velocity目标函数→现有init/step；checkpoint仅增加静态宽度比较（旧v3缺省为0）；CONFIG说明、针对性单测和复用J1审计的J2验证器。没有注册框架或新生产kernel。
+
+## 参数、符号与初始化
+
+新增整数method.wall_slot_width=W，默认0保留J1整平面路径；非零时要求2≤W≤NX、on_site_velocity且physics.velocity=0。中心c=(NX−1)/2，x=0..NX−1，单元面积权重均为1。
+
+有限宽W<NX时s=2(x−c)/W，w(x)=(1−s²)²（|s|<1），其余为0。底部Cartesian v_b=A*w，A=wall_normal_velocity是连续profile中心峰值，离散中心不一定取到A，不重新归一峰值。公开请求Q=A*Σ_x w(x)，上部Cartesian v_t=Q/NX。W=NX明确使用w=1而不是保留边缘shape；W=0仍是J1的均匀A。CPU双精度求和生成top速度宏，实际CUDA目标为FP32，容许对应舍入；这只是请求体积配平，不是实际密度加权质量精确配平。
+
+正A：底部向流体法向+n_y注入，上壁向流体法向−n_y故排出；负A两端反转。平面y=1与NY−2，H=NY−3。有限slot初态rho=1、u=0，v在底部profile与均匀top之间按y/H线性插值，写局部feq作为g(0)；初态满足目标但不是已求得的稳态/散度自由场。之后pull g(t)→到达时刻f(t+dt)→未知重建→SRT→g(t+dt)。全宽/禁用沿原J1初始化。
+
+## 冻结有界验收（首次测试前）
+
+- NX48，NY35，H32，nu=.1，U=0，rho0=1。有限宽W16，A=0,+.002,−.002；峰值尺度Re=A_abs*H/nu=.64，Ma≈.00347。不做端点或网格sweep。
+- 采样间隔519步，每例最多40间隔=20760步，至少8间隔后才判稳。连续4间隔完整u/v场各自RMS变化/速度尺度≤5e−5；速度尺度固定max(|A|,.002)，不是用近零观测值作分母。每间隔相对初始质量变化≤2e−6，最后4间隔质量相对跨度≤6e−6，初末相对质量偏移≤1e−3。记录完整历史，不将持续增长解释为gauge freedom。
+- 所有populations有限，rho最大偏离1≤.005，实际最大速度≤.01。零幅值时所有流体节点最大速度≤2e−6。
+- 有限正/负：内部距离底平面8、16、24处实测Σrho*v，对rho_bar*Q的相对误差≤.005，三个截面流量跨度/|rho_bar*Q|≤.002；这是带弱可压缩/离散误差的诊断参照，不以请求量自证。另记录所有边界和内部宏观体积流量Σv、质量流量Σrho*v。底部/上部宏观目标最大速度误差≤2e−6。
+- x镜像x↔NX−1−x：rho、v偶对称，u奇对称。max|rho−mirror(rho)|/rho0≤2e−5；max|v−mirror(v)|/速度尺度、max|u+mirror(u)|/速度尺度≤.002。容差为FP32温和低速案例诊断值，不宣称误差阶。实际内部中心v须与A同号，且max|u|>1e−5，防止只有均匀伪解通过流量。
+- 全宽W=NX、A=.002：同网格/U=0/初值，与本包起点原J1均匀路径比较初始化和64步DDF/flags逐值相同。默认关闭的旧bounce_back短通道也与起点逐值相同。
+- 每例再核对16步实际全平面population预算：包含全部底部slot、零目标flanks和整个上壁的真实incoming/outgoing；独立记录实际collision舍入。预算残差/M≤2e−7，另报不扣collision的物理残差；审计版与普通版逐值相同。必要时复用J1测试审计并细分slot/flank账，生产不加记录器。
+- 配置错误、静态参数改变、checkpoint宽度/幅值不一致必须在写状态前拒绝；同参数slot恢复后续短轨迹逐值相同；兼容旧v3缺少宽度字段时默认0。实际profile节点值/请求Q独立验算（CPUshim与GPU场），保持已有J1矩测试。
+
+全部运行固定cwd=/home/frank14f/CelerisLab、解释器=/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python、进程PYTHONPATH=/home/frank14f/CelerisLab/src。每次Python/编译/测试核对来源；每次GPU执行先查获准GPU0/1空闲。原始失败/成功日志保留；门槛变动必须显式记录。当前尚未执行本包测试。
+
+## 完成状态：实现完成，有限 slot 未通过质量稳态验收
+
+以上为运行前冻结记录。门槛未改，未追加长期计算或更换参数以求通过。正/负有限slot均达到20760步上限，末段速度变化达标，但质量仍增长；不能称为稳态质量验收通过，也不能以压力基准自由度接受。生产模式默认关闭，CONFIG中已标注本轮实测限制。
+
+| 案例 | 步数 | 质量相对初态偏移 | 末4间隔质量相对跨度 | 内部质量流量最大相对误差 | 判定 |
+| --- | ---: | ---: | ---: | ---: | --- |
+| A=0，W16 | 4152 | 6.70552e-8 | 0 | 内部实测0 | 通过 |
+| A=+.002，W16 | 20760 | 9.44271e-5 | **9.10981e-6** | 2.41774e-4 | **质量/稳态失败** |
+| A=−.002，W16 | 20760 | 8.50923e-5 | **8.50902e-6** | 3.34474e-4 | **质量/稳态失败** |
+
+有限案例末4间隔的质量增量分别约2.18–2.33e-6与2.01–2.20e-6/间隔，超过2e-6；窗口跨度超过6e-6。总偏移仍小于1e-3，不能用这一点替代末段漂移门槛。零幅值最终整个流体域u=v=0。
+
+### 请求与真实流量
+
+W16、NX48时Σw=8.533447265625，Q=±0.01706689453125，top v=±0.000355560302734375。离散峰值略小于A。原始实际rho/u/v二维场、全部纵向截面的宏观Σv和Σrho*v、质量采样与真实population账均见results.json。
+
+| A | 内部y距8处Σrho*v | 距16处 | 距24处 | 底平面Σrho*v | 顶平面Σrho*v |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| +.002 | .01706983335 | .01707181893 | .01707263291 | .01707108133 | .01706793159 |
+| −.002 | −.01706487872 | −.01706400141 | −.01706263795 | −.01706563681 | −.01706770062 |
+
+内部截面跨度相对参照为1.64019e-4和1.31282e-4，均通过.002门槛。边界最大速度误差为3.59193e-8和3.30522e-8；最大实际速度约.0019844，密度最大偏差分别3.41552e-4和2.47041e-4。
+
+### 对称与独立质量预算
+
+rho偶对称误差/rho0：正5.01052e-7、负4.99189e-7。u奇对称误差/固定.002：正9.03279e-5、负9.03303e-5；v偶对称误差/固定.002：正1.00537e-4、负9.03337e-5。均低于冻结门槛。内部中心v方向和非零横向u检查通过。
+
+每例末态16步的实际全平面预算残差均为0，审计版与普通版逐值相同。这只证明已记录FP32分布的离散收支相符，不代表质量恒定或物理误差为0。
+
+| A | 每步平均ΔM | 全边界平均净流入 | 平均collision舍入 |
+| --- | ---: | ---: | ---: |
+| 0 | 0 | 0 | 0 |
+| +.002 | 8.10414e-6 | 3.89630e-6 | 4.20783e-6 |
+| −.002 | 6.77782e-6 | 2.62831e-6 | 4.14951e-6 |
+
+未扣collision的最大相对物理预算残差为正4.94425e-9、负8.18954e-9。正case底slot/flanks/top平均净交换为.01706407918、7.56886e-6、−.01706775173；负case为−.01705836912、−7.00448e-6、.01706800191。完整incoming/outgoing均已存储，没有忽略零目标flanks。这种按节点索引的population分账包括时间变化和斜向分布重分配，flanks分账净值不能直接解释为该处宏观穿壁速度。
+
+结论限于实测：请求体积配平没有给出实际质量精确配平，且FP32碰撞舍入也贡献了增长。只读复核未发现本包profile、Zou–He未知方向、符号、阶段或checkpoint方面的必改编码错误。若后续要改变质量控制/出口条件，应先重新明确物理契约；本包未加入动态top、质量修正或密度钳制。
+
+## 回归与只读复核
+
+- CPU：98 passed、13 subtests passed，4.34秒，见cpu.log。包括实际CUDA helper CPUshim的9种profile/幅值组合、离散Q、配置/静态签名、checkpoint宽度不一致在写状态前拒绝、旧v3缺宽度按0、同宽度恢复，以及已有J1矩/力/对象限制与状态测试。
+- 全宽W48与起点原J1 W0，U0=0/A=.002，初态与64步DDF/flags逐值相同。默认关闭旧通道7步DDF/flags与起点逐值相同。
+- 正slot checkpoint载入新Simulation后7步DDF/flags/step_count逐值相同。
+- architecture只读复核：未发现生产编码必改项；发现验证器原先允许省略baseline使两项比较跳过。现已要求该参数，并用CLI检查确认省略时在访问CUDA前退出2。本次GPU调用始终带baseline，因此不影响数值结果；未重跑物理路径。
+- 本轮最终数值验证进程退出1，真实反映两例失败，不报告成全通过。
+
+## 实际执行与失败记录
+
+首次沙箱内nvidia-smi无法连接驱动；获准设备访问后只读检查成功：GPU0为0%、9MiB且无计算进程，GPU1已有其他Python进程占约362MiB。每次GPU运行前重复核对，只用物理GPU0；未干扰GPU1。未安装依赖或修改环境设置。
+
+CPU实际命令（cwd固定为本项目）：
+
+```bash
+env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python - <<'PY' > research/j2-slot-2026-10-12/cpu.log 2>&1
+from pathlib import Path
+import sys, pytest, CelerisLab
+from CelerisLab.cuda import compiler_v2 as compiler
+root=Path('/home/frank14f/CelerisLab')
+assert Path.cwd()==root
+assert sys.executable=='/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
+assert Path(CelerisLab.__file__).resolve()==root/'src/CelerisLab/__init__.py'
+assert Path(compiler.kernel_path('kernel_v2.cu')).resolve()==root/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
+print(sys.executable, CelerisLab.__file__, compiler.kernel_path('kernel_v2.cu'))
+raise SystemExit(pytest.main(['tests/unit/test_slot_velocity.py','tests/unit/test_planar_velocity.py','tests/unit/test_build_contracts.py','tests/unit/test_state_regressions.py','tests/unit/test_simulation_lifecycle.py','-q','--tb=short','-p','no:cacheprovider']))
+PY
+```
+
+数值验证实际命令（执行两次；两次前均核对GPU0空闲）：
+
+```bash
+env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_j2_slot.py --output research/j2-slot-2026-10-12/results.json --baseline-kernels /tmp/celeris-j2-before/src/CelerisLab/lbm/kernels > research/j2-slot-2026-10-12/gpu-validation.log 2>&1
+```
+
+第一次在零幅值计算完成后，输出JSON时因NumPy bool失败，日志原样移为gpu-serialization-failure.log；没有生成完整结果。将checks显式转为Python bool后完整重跑，模型/参数/门槛未改。第二次数值失败记录保留为gpu-validation.log，逐项指标在results.json。
+
+CLI缺baseline检查使用同一解释器/进程PYTHONPATH和来源断言，通过runpy运行run_j2_slot.py，argv为`['run_j2_slot.py','--output','unused.json']`，断言SystemExit.code==2；原始stderr与确认在cli.log。未访问GPU、未创建unused.json。
+
+## 增量与保存
+
+incremental.diff仅包含相对本包起点的12个文件：生产代码6个文件+43/−3行，CONFIG说明+29/−2行，测试与验证5个文件+256/−6行，总计+328/−11行。没有新增生产文件或kernel launch。为避免混入此前同文件中的修改，不提交；没有推送。四个配置头和notebook的SHA256与起点相同，其余原文件均保留。git diff --check和增量补丁反向校验通过，反向应用后逐字节匹配起点哈希。
+
+保留全部原始成功/失败日志。临时CUDA审计构建自动清理，重复起点副本在补丁反向核验后删除。日后复跑需先在临时副本中用本包diff反向重建起点src，再提供其kernels目录作为必需的baseline；不要在当前脏工作树直接反向应用。停在此包交复审；尚未覆盖长期质量稳定、端点/网格阶/性能、其他碰撞/精度/streaming、曲面slot或AMR。
diff --git a/research/j2-slot-2026-10-12/baseline-status.txt b/research/j2-slot-2026-10-12/baseline-status.txt
new file mode 100644
index 0000000..e711afb
--- /dev/null
+++ b/research/j2-slot-2026-10-12/baseline-status.txt
@@ -0,0 +1,67 @@
+ M pyproject.toml
+ M setup.py
+ M src/CelerisLab/__init__.py
+ M src/CelerisLab/body/__init__.py
+ M src/CelerisLab/body/ddf_patch.py
+ M src/CelerisLab/body/manager.py
+ M src/CelerisLab/body/preprocess/flag_overlay.py
+ M src/CelerisLab/common/__init__.py
+ M src/CelerisLab/common/checkpoint.py
+ M src/CelerisLab/config.py
+ M src/CelerisLab/configs/CONFIG.md
+ M src/CelerisLab/cuda/__init__.py
+ M src/CelerisLab/cuda/compiler_v2.py
+ M src/CelerisLab/cuda/context.py
+ M src/CelerisLab/lbm/__init__.py
+ M src/CelerisLab/lbm/curved_links.py
+ M src/CelerisLab/lbm/field.py
+ M src/CelerisLab/lbm/initializers.py
+ M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh
+ M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh
+ M src/CelerisLab/lbm/kernels/config/config_grid.h
+ M src/CelerisLab/lbm/kernels/config/config_method.h
+ M src/CelerisLab/lbm/kernels/config/config_objects.h
+ M src/CelerisLab/lbm/kernels/config/config_physics.h
+ M src/CelerisLab/lbm/kernels/kernel_v2.cu
+ M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh
+ M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh
+ M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh
+ M src/CelerisLab/lbm/kernels/step/aux_kernels.cu
+ M src/CelerisLab/lbm/kernels/step/esopull_sync.cu
+ M src/CelerisLab/lbm/kernels/step/init_flow.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_double.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu
+ M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh
+ M src/CelerisLab/lbm/stepper.py
+ M src/CelerisLab/simulation.py
+ M tests/integration/test_body_sync_e2e.py
+ M tests/integration/test_ddf_patch.py
+ M tests/integration/test_sync_bodies_skeleton.py
+ M tests/integration/test_unified_obs.py
+ M tests/postproc/experiment.ipynb
+ M tests/validation/run_kan99b_rotating_cylinder.py
+ M tests/validation/run_sah04_st_matrix.py
+ M tests/validation/test_sensor_accuracy.py
+?? docs/design/
+?? docs/multilevel_grid_architecture_analysis.md
+?? research/
+?? src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
+?? "tests/audit/body\345\210\240\345\207\217\345\212\237\350\203\275.md"
+?? tests/integration/_cases.py
+?? tests/integration/test_numerical_gpu.py
+?? tests/integration/test_runtime_contracts_gpu.py
+?? tests/integration/test_state_gpu.py
+?? tests/unit/cpp/
+?? tests/unit/test_build_contracts.py
+?? tests/unit/test_context_ownership.py
+?? tests/unit/test_initializers.py
+?? tests/unit/test_numerical_operators.py
+?? tests/unit/test_planar_velocity.py
+?? tests/unit/test_simulation_lifecycle.py
+?? tests/unit/test_state_regressions.py
+?? tests/validation/multigrid/
+?? tests/validation/run_j1.py
+?? tests/validation/run_poiseuille.py
diff --git a/research/j2-slot-2026-10-12/baseline.json b/research/j2-slot-2026-10-12/baseline.json
new file mode 100644
index 0000000..286e023
--- /dev/null
+++ b/research/j2-slot-2026-10-12/baseline.json
@@ -0,0 +1,216 @@
+{
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
+  "cuda_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
+  "hashes": {
+    "docs/design/README.md": "98242c6960866d9b75aaf363f703edf02c4210bc38da1a340e9f6add49c6a3ce",
+    "docs/design/integrated_architecture.md": "c26b0d301321fe4b86d83d11c7e0b8d0c0545ee2995afa563966f004e9788132",
+    "docs/design/multi_level_grid_architecture.md": "e56a67d9129f2e3c311342e21a3fb2ed14bd492dd881949b251d5d9ac577bdee",
+    "docs/design/multi_level_summary.md": "eebf23e0bec9b154e5ce2128e2806e7558a7d4824b2c700cfd16afd1158b2354",
+    "docs/design/multi_level_visual_reference.md": "cad4bfbd561e5650ec297334529334b662a1ed35f7373c61f34ee22ecf1f66bd",
+    "docs/design/spatial_coupling_refinement.md": "36c878c7afad524999d89fa842297a98a0433e0283e78b36ca734ddbf8723ed8",
+    "docs/multilevel_grid_architecture_analysis.md": "90309730b1759d63531cb258c30db990ab71ca1b56ae47d0bbe2f4e2ae52012c",
+    "research/audit-2026-10-09/REVIEW.zh-CN.md": "2841fd3aa7a6baedbe1079d90915c8b05212b133824ed6abccaa1f09656eaefe",
+    "research/audit-2026-10-09/architecture-cpu-results.json": "e1b809210005c8765b13fddbb5ed710d15f6fcbb4c5788a4064f3e88808433ef",
+    "research/audit-2026-10-09/architecture-report.md": "861079dc3f4ced9fdc41bfb22002d32e190c0d630d3ba2f138f9dc7a949b8371",
+    "research/audit-2026-10-09/numerical-report.md": "970330b3a593f79f09866ce6ae82bc0ddd81226230d0a6ff06ae8ae756ee80da",
+    "research/audit-2026-10-09/numerical_collision_results.json": "51e5c263bb8cde82cedef2ccfdbf5ef657742a80218d7896b1ff877516e59693",
+    "research/audit-2026-10-09/numerical_compile_results.json": "c3b0ae02072a2ec408ada7513b542ec255f6855cb743a3ed7f91bd8f31504f44",
+    "research/audit-2026-10-09/numerical_semantics_results.json": "b95b065b594aa2911740dab216f87936c9bf7f7fa25acfda93b5738443564035",
+    "research/audit-2026-10-09/root-initializers-report.md": "ca448457c444949d5d0e1e10fa7121064510b77fc4c3512580900f0299219867",
+    "research/audit-2026-10-09/state-report.md": "f8708807efc2e109810c5955f7c1884a932668c0b3cb2963c2df3b09f2a3d5c4",
+    "research/audit-2026-10-09/state_results.json": "da9170df3e11231c73f20e5e79ed68e08966673d1dd52004ea6b6a279afc0dcd",
+    "research/design-2026-10-09/Contracts.lean": "2442d9a778ef20e8af3fecf23be6fea6d73c6299ff744c9664b652bc5ee3f034",
+    "research/design-2026-10-09/PLAN.zh-CN.md": "0341dd7ee306a040340c8e5dedb07a109e931c27dbf3c994d072aa78e3b6bc67",
+    "research/design-2026-10-09/api-architecture-study.md": "d6fb45ec784f0e1db55fb9f34e137b9f551db0b9b39fd4f0ef247a78fc34eedf",
+    "research/design-2026-10-09/grid-study.md": "4435dc1275ec5e15b118becc6ac391f306195d1e5beaa58037b1aff3bb2465c7",
+    "research/design-2026-10-09/jet-study.md": "a362142ef04a5ad5dbb4c9db9d221b1199dccec53780c8f2da49a15201cfe529",
+    "research/design-2026-10-09/jet_closure_check.py": "fde45d0f8518740ef5c0bf0fe7635d6adaf9a2e789927dd4e68e991c138ddc30",
+    "research/design-2026-10-09/jet_closure_results.json": "12cf7d400a206f9f9ec9ea6ad251fe6bb0232e27bcbed22fbc1ead2c0fc7d249",
+    "research/design-2026-10-09/math-and-history.md": "64f8c82e4949d6f58b46faa09800958714859c36cad20bbeeae8b449ae7a6099",
+    "research/design-2026-10-09/math-checks.json": "94750381954317cde8d649db26beaed8ea945666572a05030ca2b4d97d384011",
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+    "research/j1-2026-10-12/incremental.diff": "a454c23da7b0011645949c0fbf64d0c41ecfdab5642b1b7c5119868005d3c721",
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+    "src/CelerisLab/lbm/kernels/operators/turbulence_smag.cuh": "ff7f000297ee0817e255ad9fcb6a13b647e3ddd5b206518d35f38d2895a9f501",
+    "src/CelerisLab/lbm/kernels/step/aux_kernels.cu": "bb7f07d898f0d5151e5bd0f45e6bd819c5e83a345a265b73204906ac3cc29db4",
+    "src/CelerisLab/lbm/kernels/step/esopull_macro.cu": "c73116020ca217ede1e4de27c8269c31f9d91e33433ac8252a21e9b14187c50f",
+    "src/CelerisLab/lbm/kernels/step/esopull_sync.cu": "c0ff3e72900c3ab89a05dd03684e96d3b740cf1672d565727fc2af165933d087",
+    "src/CelerisLab/lbm/kernels/step/init_flow.cu": "53eeb8052beff29e36a0584528862b33633196fa32273121b7dcdd1cae7f1433",
+    "src/CelerisLab/lbm/kernels/step/one_step_double.cu": "4f49c3e97255fa7686a00954b091387861f0ef11e314147eaadc5f836238f62c",
+    "src/CelerisLab/lbm/kernels/step/one_step_esopull.cu": "aa223b2744ae6c9125673df311a96ce588032c1ba58bebb11fd33ecb990f8ed4",
+    "src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh": "dd5a9091628b079efd97e53fd49e52d09dcee88529235db77a5648e02937af6e",
+    "src/CelerisLab/lbm/kernels/streaming/esopull_single_buffer.cuh": "77ed4ab9a0ebc5ff62a91a7c39066ef395391ae36e9040a69fb2bd8b1626dc79",
+    "src/CelerisLab/lbm/kernels/streaming/pull_double_buffer.cuh": "b65d741ed78b7b62f99531ba0c0ce1936663d8dc9640e7d7d16c707f1baf6549",
+    "src/CelerisLab/lbm/stepper.py": "e9e51e3a902fbda086d4707c0487e7b1dea6246fab290a24d82bd52d4296410e",
+    "src/CelerisLab/simulation.py": "34d69e71844f553790c5a2bed0f8fbfb912a9498e95b500d1ef2ad41cae3b424",
+    "tests/audit/Force_region.md": "3092080afe4a30665fe1b721803621ba9d0dd5d20ad17826984d94efc160fdac",
+    "tests/audit/Force_region_validation.md": "279a4484d1bfca0fd67aed4de3282d547aa048f89389420d8e5f2fd86db54fc2",
+    "tests/audit/body\u91cd\u6784\u7b14\u8bb0.md": "8f978d7b01c9f49dca9eeaff0d163cec6da085e2f99ee5a5e803d72306e7a72f",
+    "tests/audit/\u517c\u5bb9\u6027\u6d4b\u8bd5.md": "9c1721a33b381b9c3810545772b022913da06617711b5ba13a3c2c991b81a7f7",
+    "tests/audit/\u5ba1\u8ba1.md": "0f14ad073a0725134e6391f961c324fd0013c7791fd410713e94ed1ad40b7385",
+    "tests/audit/\u5ba1\u8ba1\u62a5\u544a_kernel_layer.md": "89893c98ed7c2699157bf728ec0e79b0dd6aff4008ee5c7b77eb052de24033f1",
+    "tests/conftest.py": "fa0ec26667872c9c1011d608310d2551fd24719b5d216f06d923ff4c74c73237",
+    "tests/integration/__init__.py": "c354e43ba09b55a8013a2df2069438740b5f48b5917d855e52e33ab5d7da5a6c",
+    "tests/integration/test_body_sync_e2e.py": "d29f01771f3512a4b3ad06fae4ee952327d7fd9f0476942402fe92e9e327fcec",
+    "tests/integration/test_ddf_patch.py": "dda2abba32ca13e17098232f2831a0b1b66439c35f8931d9997a0257250c1281",
+    "tests/integration/test_sync_bodies_skeleton.py": "65f55a0980659b49ae0027f0642a27e2ebaead226ef083f233e878150884b07c",
+    "tests/integration/test_unified_obs.py": "4a681536099741d92bdc258525fe3374cbdbeba0d49996e53808381a1b6a13fa",
+    "tests/postproc/experiment.ipynb": "c6b45db1c57200f0777213ef8d44cb4996c1aa7a5fb42b968b77e56f51b4fca4",
+    "tests/postproc/run_exp_ctrl_matrix_streakline.py": "529d5f31a3862080f890c65177502b589710b2d960ddf131abaf7dc2f9e2a96f",
+    "tests/postproc/run_exp_ctrl_matrix_vorticity.py": "b7e0c4113111b9b677f321750c0055656ccfa4f45c25fe7846f3ed22f30d1467",
+    "tests/postproc/run_kan99b_streakline.py": "a2bbf3fc629ea170d2d4879317dbf2b81c43378a328100ac1f2ee8d9895666cb",
+    "tests/postproc/run_stealth_steady_sweep.py": "3c32c4dede7da77fd6cfbd3f7b1ff43bb11390aaba621883ec96c6c7fdad5af7",
+    "tests/postproc/streakline_triangle_clean.png": "aa6669de7af6f82e98af25698a15f494e9cea20cb911ad9a30fe52597d33bb79",
+    "tests/postproc/vorticity_triangle_clean.png": "f831b8143b50f038d5920a0658469622655f34176d30cf7216feff108aa2ecaf",
+    "tests/screening/run_config_sweep.py": "5030c99923815ed6ad39110cb56f748c579ff4c66c7c1a368ad1a6008017e2ff",
+    "tests/specs/Kan99b_validation.md": "0d8bf74f2361f863809af1979bf8807adaa423f98321e1104a3d86d8c7a863cf",
+    "tests/specs/Sah04_validation.md": "1d122d29e281b7f50801b148f3314a0e35fdc27ee7d757c0a661243aa6185fb0",
+    "tests/specs/exp_ctrl_matrix.md": "5d9dd2e703582572eb68afe3a7096ea43ec82aa03418d20ed283c5365031e433",
+    "tests/specs/kan99b.md": "b7e0669f0a6b677d902204f3427d1b3ac254bfe70c37d9cf995fb3e8f1fedfb1",
+    "tests/specs/sah04.md": "33dbe5e0fd63738abd055c4aa403c191b6de04e6efdbc568f1942c6d23c7459f",
+    "tests/specs/streakline_notes.md": "cd342d214c07eb608ac2e5b8697322c44c31dbf4d27dfdb5409de46ef474df4b",
+    "tests/unit/__init__.py": "17f57920d9c1ff46096ceb2af008eb38c4b98dc81ffa3c3d310e758e80ca1cd4",
+    "tests/unit/test_body_flags.py": "ac6409157924e15a13a3d2cc2f1a09014b8b0198ba17c824f412ff20b19e2aac",
+    "tests/unit/test_equilibrium.py": "1ecbcc4547b1c846b75320463d828d6a36b6aae73208084fae476b1001c1bb50",
+    "tests/unit/test_pending_edits.py": "905a0dff23b123e8e38aaf364984c810fe51c39acd64aa271e343a4701d3d024",
+    "tests/unit/test_sync_plan.py": "983313ef783143231fa5a392f85f3bac011184773ccaf5d946504c206cabb721",
+    "tests/validation/run_kan99b_rotating_cylinder.py": "323186429a100f36b41ab9b81ade2da6a47e93be3ccb7034a3a6b97f4ee8eb00",
+    "tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
+    "tests/validation/run_sah04_st_matrix.py": "9b9c0ce063e07a316846635ee769b837ed26be6bf039f78f4219c10b516f8006",
+    "tests/validation/test_sensor_accuracy.py": "c6038a9e7a597a1738814bd15e6ecf357cfd271cdc2a132d47943c5280ac0ef9"
+  }
+}
diff --git a/research/j2-slot-2026-10-12/incremental.diff b/research/j2-slot-2026-10-12/incremental.diff
new file mode 100644
index 0000000..649f3b5
--- /dev/null
+++ b/research/j2-slot-2026-10-12/incremental.diff
@@ -0,0 +1,474 @@
+--- a/src/CelerisLab/common/checkpoint.py
++++ b/src/CelerisLab/common/checkpoint.py
+@@ -218,6 +218,8 @@
+             for key in ("y_wall_bc", "velocity", "wall_normal_velocity"):
+                 if saved_cfg.get(key) != getattr(lbm_cfg, key):
+                     raise ValueError(f"Checkpoint on-site boundary mismatch on '{key}'")
++            if saved_cfg.get("wall_slot_width", 0) != lbm_cfg.wall_slot_width:
++                raise ValueError("Checkpoint on-site boundary mismatch on 'wall_slot_width'")
+         for key in ("lattice_model", "nx", "ny", "nz", "store_precision",
+                      "streaming", "ddf_shifting"):
+             saved_val = saved_cfg.get(key)
+--- a/src/CelerisLab/config.py
++++ b/src/CelerisLab/config.py
+@@ -87,6 +87,7 @@
+     outlet_srt_neq_damp: float = 0.5
+     y_wall_bc: str = "bounce_back"
+     wall_normal_velocity: float = 0.0
++    wall_slot_width: int = 0
+     omega_min: float = 0.01
+     omega_max: float = 1.99
+ 
+@@ -151,6 +152,11 @@
+             )
+         if self.dim == 2 and self.nz != 1:
+             raise ValueError("nz must be 1 for 2D")
++        if (isinstance(self.wall_slot_width, bool) or not isinstance(self.wall_slot_width, int)
++                or self.wall_slot_width != 0 and not 2 <= self.wall_slot_width <= self.nx):
++            raise ValueError("wall_slot_width must be 0 (disabled) or an integer in [2, nx]")
++        if self.wall_slot_width and (self.y_wall_bc != "on_site_velocity" or self.velocity != 0):
++            raise ValueError("wall_slot_width requires on_site_velocity and velocity=0")
+         if self.y_wall_bc == "on_site_velocity":
+             if (not self.is_d2q9 or self.collision != "SRT"
+                     or self.streaming != "double_buffer" or self.store_precision != "FP32"
+@@ -196,8 +202,17 @@
+         self.validate()
+         return (self.lattice_model, self.nx, self.ny, self.nz, self.data_type,
+                 self.store_precision, bool(self.ddf_shifting), self.streaming,
+-                (self.velocity, self.wall_normal_velocity)
++                (self.velocity, self.wall_normal_velocity, self.wall_slot_width)
+                 if self.y_wall_bc == "on_site_velocity" else None)
++
++    @property
++    def top_wall_normal_velocity(self) -> float:
++        """Uniform top target balancing the bottom's discrete requested volume."""
++        if self.wall_slot_width in (0, self.nx):
++            return self.wall_normal_velocity
++        weights = (max(0.0, 1.0-((2*x-(self.nx-1))/self.wall_slot_width)**2)**2
++                   for x in range(self.nx))
++        return self.wall_normal_velocity * math.fsum(weights) / self.nx
+ 
+     def to_macros(self) -> Dict[str, Any]:
+         """Return flat dict of macro_name → value for header generation."""
+@@ -227,6 +242,8 @@
+             "OUTLET_BACKFLOW_CLAMP": int(self.outlet_backflow_clamp),
+             "Y_WALL_BC": Y_WALL_BC_MAP[self.y_wall_bc],
+             "WALL_NORMAL_VELOCITY": _float_literal(self.wall_normal_velocity),
++            "WALL_SLOT_WIDTH": self.wall_slot_width,
++            "TOP_WALL_NORMAL_VELOCITY": _float_literal(self.top_wall_normal_velocity),
+             "OMEGA_COLLISION_MIN": _float_literal(self.omega_min),
+             "OMEGA_COLLISION_MAX": _float_literal(self.omega_max),
+             "TRT_MAGIC_PARAM": _float_literal(self.trt_magic_param),
+@@ -296,6 +313,7 @@
+         outlet_srt_neq_damp=m["outlet"].get("srt_neq_damp", 0.5),
+         y_wall_bc=m.get("y_wall_bc", "bounce_back"),
+         wall_normal_velocity=m.get("wall_normal_velocity", 0.0),
++        wall_slot_width=m.get("wall_slot_width", 0),
+         omega_min=m["omega_guard"]["min"],
+         omega_max=m["omega_guard"]["max"],
+         threads_per_block=c["threads_per_block"],
+--- a/src/CelerisLab/configs/CONFIG.md
++++ b/src/CelerisLab/configs/CONFIG.md
+@@ -113,6 +113,33 @@
+ 
+ Supported only for D2Q9/SRT/FP32/unshifted/double_buffer without LES, objects
+ or body forces. Boundary targets and the mode are fixed at construction;
+-checkpoint restart requires matching targets. This is an entire-plane
+-Couette-throughflow reference, not a finite slot or curved jet API. The default
++checkpoint restart requires matching targets. With the slot disabled this is an
++entire-plane Couette-throughflow reference. The default
+ `bounce_back` mode and existing configurations retain their previous path.
++
++### Static centered bottom slot
++
++Optional `method.wall_slot_width` is an integer W: 0 (default) keeps the above
++uniform planes; 2≤W≤NX enables a centered bottom slot and requires
++`physics.velocity=0`. The same support restrictions apply. Width and amplitude
++are fixed at construction and must match on checkpoint restart; older v3
++checkpoints without this field mean W=0.
++
++For W<NX, let c=(NX−1)/2, s=2(x−c)/W at integer x=0..NX−1. The bottom target is
++`v=A*max(0,1-s*s)^2`, where A=`wall_normal_velocity` is the continuous peak,
++not a renormalized discrete peak. This profile and its first derivative vanish
++at the edges. W=NX explicitly means uniform v=A, not this shaped profile.
++With equal unit area per node, requested Q is the sum of these bottom targets;
++the top target is uniform Q/NX (`cfg.top_wall_normal_velocity`). The sum is
++computed in host double precision; device targets are FP32. This balances
++requested volume, not actual density-weighted mass exactly.
++
++Positive A injects from the bottom and exits through the top; negative A reverses
++both roles. Both are Cartesian y velocities; inward-normal velocity has the
++opposite sign at the top. The slot and its zero-velocity flanks share the same
++on-site y=1 plane. Initialization sets rho0, u=0 and linearly interpolates v
++between the two planes; it is not an assumed steady solution. This mode is
++static, single-level and flat; it does not support moving/curved slots.
++The finite-slot mode is experimental: the bounded W=16, A=±0.002 checks in
++`research/j2-slot-2026-10-12/REVIEW.md` exceeded the fixed late-time mass-drift
++tolerance. It is not yet validated for steady mass balance or long runs.
+--- a/src/CelerisLab/cuda/compiler_v2.py
++++ b/src/CelerisLab/cuda/compiler_v2.py
+@@ -176,6 +176,8 @@
+ #define OUTLET_BACKFLOW_CLAMP {m['OUTLET_BACKFLOW_CLAMP']}
+ #define Y_WALL_BC            {m['Y_WALL_BC']}
+ #define WALL_NORMAL_VELOCITY {m['WALL_NORMAL_VELOCITY']}
++#define WALL_SLOT_WIDTH      {m['WALL_SLOT_WIDTH']}
++#define TOP_WALL_NORMAL_VELOCITY {m['TOP_WALL_NORMAL_VELOCITY']}
+ 
+ #define OMEGA_COLLISION_MIN {m['OMEGA_COLLISION_MIN']}
+ #define OMEGA_COLLISION_MAX {m['OMEGA_COLLISION_MAX']}
+--- a/src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
++++ b/src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
+@@ -3,6 +3,18 @@
+ // the caller owns collision/store. No force, shifting or off-lattice walls.
+ #ifndef CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
+ #define CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
++
++__device__ __forceinline__ float bottom_wall_normal_velocity(unsigned int x)
++{
++#if WALL_SLOT_WIDTH > 0 && WALL_SLOT_WIDTH < NX
++    // C1 compact profile centered at (NX-1)/2; amplitude is its continuous peak.
++    const float s = (2.0f*(float)x-(float)(NX-1))/(float)WALL_SLOT_WIDTH;
++    const float w = fmaxf(0.0f, 1.0f-s*s);
++    return WALL_NORMAL_VELOCITY*w*w;
++#else
++    return WALL_NORMAL_VELOCITY; // Disabled or explicitly uniform full width.
++#endif
++}
+ 
+ __device__ __forceinline__ void reconstruct_bottom_velocity(float* f, float u, float v)
+ {
+--- a/src/CelerisLab/lbm/kernels/step/init_flow.cu
++++ b/src/CelerisLab/lbm/kernels/step/init_flow.cu
+@@ -91,7 +91,13 @@
+         // Initial g(0)=feq: both boundary velocities are already satisfied.
+         // Start from linear Couette, not the sought exponential steady profile.
+         float f[NQ];
++#if WALL_SLOT_WIDTH > 0 && WALL_SLOT_WIDTH < NX
++        const float t = (float)(y-1u)/(float)(NY-3);
++        const float v = (1.0f-t)*bottom_wall_normal_velocity(x)+t*TOP_WALL_NORMAL_VELOCITY;
++        compute_feq(RHO, 0.0f, v, f);
++#else
+         compute_feq(RHO, U0*(float)(y-1u)/(float)(NY-3), WALL_NORMAL_VELOCITY, f);
++#endif
+         stream_pull_store(k, f, fi);
+ #else
+         write_equilibrium(fi, k, inlet_target_u((float)y));
+--- a/src/CelerisLab/lbm/kernels/step/one_step_double.cu
++++ b/src/CelerisLab/lbm/kernels/step/one_step_double.cu
+@@ -91,8 +91,8 @@
+ #if Y_WALL_BC == 2
+         // Reconstruct f(t+dt) on the physical plane, then collide below.
+         // This replaces, rather than compounds, the halfway wall correction.
+-        if (y == 1u) reconstruct_bottom_velocity(f, 0.0f, WALL_NORMAL_VELOCITY);
+-        else reconstruct_top_velocity(f, U0, WALL_NORMAL_VELOCITY);
++        if (y == 1u) reconstruct_bottom_velocity(f, 0.0f, bottom_wall_normal_velocity(x));
++        else reconstruct_top_velocity(f, U0, TOP_WALL_NORMAL_VELOCITY);
+ #elif Y_WALL_BC == 1
+         apply_wall_freeslip_d2q9_y_pull(y, f, fi_in, k);
+ #else
+--- /dev/null
++++ b/tests/unit/cpp/slot_profile.cpp
+@@ -0,0 +1,10 @@
++#include <cmath>
++#include <cstdio>
++#define __device__
++#define __forceinline__ inline
++#include "boundary/planar_velocity.cuh"
++
++int main() {
++    for (unsigned x=0; x<NX; ++x)
++        printf("%.9g\n", bottom_wall_normal_velocity(x));
++}
+--- a/tests/unit/test_planar_velocity.py
++++ b/tests/unit/test_planar_velocity.py
+@@ -19,7 +19,7 @@
+     root = Path(__file__).resolve().parents[2]
+     assert Path(CelerisLab.__file__).resolve() == root/'src/CelerisLab/__init__.py'
+     assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == root/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
+-    lines = compile_run(tmp_path, 'planar_velocity.cpp', {})
++    lines = compile_run(tmp_path, 'planar_velocity.cpp', dict(WALL_NORMAL_VELOCITY='0.0f'))
+     cx = np.array([0,1,-1,0,0,1,-1,1,-1])
+     cy = np.array([0,0,0,1,-1,1,-1,-1,1])
+     w = np.array([4/9]+[1/9]*4+[1/36]*4)
+--- /dev/null
++++ b/tests/unit/test_slot_velocity.py
+@@ -0,0 +1,81 @@
++"""Static slot targets and checkpoint compatibility, using the actual CUDA helper."""
++import json
++from types import SimpleNamespace
++
++import h5py
++import numpy as np
++import pytest
++
++from CelerisLab.config import LBMConfig, load_lbm_config
++from CelerisLab.common.checkpoint import save_checkpoint, load_checkpoint
++from .test_numerical_operators import compile_run, ROOT
++from .test_state_regressions import device, make_field, manager
++
++
++@pytest.mark.parametrize('width', [0, 16, 48])
++@pytest.mark.parametrize('amplitude', [0., .002, -.002])
++def test_actual_slot_targets_and_requested_volume(tmp_path, width, amplitude):
++    cfg = LBMConfig(nx=48, velocity=0., y_wall_bc='on_site_velocity',
++                    wall_slot_width=width, wall_normal_velocity=amplitude)
++    macros = cfg.to_macros()
++    values = np.array(compile_run(tmp_path, 'slot_profile.cpp', {
++        k: macros[k] for k in ('NX', 'WALL_SLOT_WIDTH', 'WALL_NORMAL_VELOCITY')}), dtype=float)
++    # Independent node quadrature; includes both zero flanks and the full-width exception.
++    x = np.arange(48)-23.5
++    expected = amplitude*np.clip(1-(x/8)**2, 0, None)**2 if width == 16 else np.full(48, amplitude)
++    np.testing.assert_allclose(values, expected, atol=5e-10, rtol=0)
++    np.testing.assert_array_equal(values, values[::-1])
++    assert abs(values.sum()-48*cfg.top_wall_normal_velocity) <= 1e-8
++    assert abs(float(macros['TOP_WALL_NORMAL_VELOCITY'][:-1])-expected.mean()) < 1e-16
++
++
++@pytest.mark.parametrize('change', [dict(wall_slot_width=w) for w in (-1, 1, 49, 2.5, True)]
++                         + [dict(y_wall_bc='bounce_back'), dict(velocity=.01)])
++def test_slot_invalid_configuration(change):
++    values = dict(nx=48, velocity=0., y_wall_bc='on_site_velocity', wall_slot_width=16)
++    values.update(change)
++    with pytest.raises(ValueError, match='wall_slot_width'):
++        LBMConfig(**values).validate_runtime()
++
++
++def test_slot_json_and_static_signature(tmp_path):
++    data = json.loads((ROOT/'src/CelerisLab/configs/config_lbm.json').read_text())
++    data['physics']['velocity'] = 0.
++    data['method'].update(y_wall_bc='on_site_velocity', wall_slot_width=16,
++                          collision='SRT', streaming='double_buffer', store_precision='FP32',
++                          ddf_shifting=False)
++    data['method']['les']['enabled'] = False
++    path = tmp_path/'config.json'
++    path.write_text(json.dumps(data))
++    cfg = load_lbm_config(path)
++    assert cfg.wall_slot_width == 16
++    before = cfg.allocation_signature()
++    cfg.wall_slot_width = 18
++    assert before != cfg.allocation_signature()
++
++
++@pytest.mark.parametrize('width, saved_width, accepted', [(6, 4, False), (6, None, False),
++                                                        (0, None, True), (6, 6, True)])
++def test_slot_checkpoint_width_before_device_writes(device, tmp_path, width, saved_width, accepted):
++    field = make_field(device, velocity=0., y_wall_bc='on_site_velocity', wall_slot_width=width)
++    bodies = manager(field)
++    bodies.sync_to_gpu(field)
++    stepper = SimpleNamespace(_step_count=0)
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg, bodies,
++                           str(tmp_path/'slot.h5'))
++    with h5py.File(path, 'a') as hf:
++        assert hf.attrs['ckpt_version'] == 3
++        config = json.loads(hf.attrs['config_json'])
++        config.pop('wall_slot_width')
++        if saved_width is not None:
++            config['wall_slot_width'] = saved_width
++        hf.attrs['config_json'] = json.dumps(config)
++    before, writes = field.ddf.copy(), device.writes
++    if accepted:
++        load_checkpoint(path, field, stepper, field.cfg, bodies)
++        np.testing.assert_array_equal(field.ddf, before)
++        assert stepper._step_count == 3
++    else:
++        with pytest.raises(ValueError, match='wall_slot_width'):
++            load_checkpoint(path, field, stepper, field.cfg, bodies)
++        assert device.writes == writes and stepper._step_count == 0
+--- a/tests/validation/run_j1.py
++++ b/tests/validation/run_j1.py
+@@ -28,13 +28,13 @@
+              u_change=2e-5, v_change=2e-7, budget_relative_residual=2e-7)
+ 
+ 
+-def make_sim(v, mode='on_site_velocity'):
++def make_sim(v, mode='on_site_velocity', nx=16, top_u=.02, slot_width=0):
+     config = json.loads((ROOT/'src/CelerisLab/configs/config_lbm.json').read_text())
+-    config['grid'].update(nx=16, ny=35, nz=1, lattice_model='D2Q9')
+-    config['physics'].update(viscosity=.1, velocity=.02, rho=1.)
++    config['grid'].update(nx=nx, ny=35, nz=1, lattice_model='D2Q9')
++    config['physics'].update(viscosity=.1, velocity=top_u, rho=1.)
+     config['method'].update(collision='SRT', streaming='double_buffer',
+                             store_precision='FP32', ddf_shifting=False,
+-                            y_wall_bc=mode, wall_normal_velocity=v)
++                            y_wall_bc=mode, wall_normal_velocity=v, wall_slot_width=slot_width)
+     config['method']['les']['enabled'] = False
+     with TemporaryDirectory(prefix='celeris-j1-config-') as folder:
+         lbm, body = Path(folder)/'lbm.json', Path(folder)/'body.json'
+@@ -72,7 +72,7 @@
+ '''
+ 
+ 
+-def population_budget(sim):
++def population_budget(sim, bottom_slot=None):
+     """16 real steps, separate incoming/outgoing/collision records, no targets."""
+     saved = sim.get_ddf().copy()
+     count = sim.stepper.step_count
+@@ -122,6 +122,14 @@
+                                  collision_roundoff=float(collision.sum()),
+                                  physical_residual=physical_residual,
+                                  budget_residual=residual))
++                if bottom_slot is not None:
++                    outgoing = before[[4,6,7], 1, :].sum(axis=0)
++                    rows[-1]['exchange'] = {
++                        name: dict(incoming=float(incoming[:sim.field.nx][mask].sum()),
++                                   outgoing=float(outgoing[mask].sum()))
++                        for name, mask in (('slot', bottom_slot), ('flanks', ~bottom_slot))}
++                    rows[-1]['exchange']['top'] = dict(
++                        incoming=float(incoming[sim.field.nx:].sum()), outgoing=float(outgoing_top))
+         identical = np.array_equal(sim.get_ddf(), plain)
+         return dict(steps=rows, instrumented_matches_plain=identical,
+                     audit_source_sha256=audit_hash,
+--- /dev/null
++++ b/tests/validation/run_j2_slot.py
+@@ -0,0 +1,151 @@
++"""Bounded static-slot validation; frozen gates in research/j2-slot-2026-10-12/REVIEW.md."""
++import argparse
++import json
++import os
++from pathlib import Path
++import sys
++from tempfile import TemporaryDirectory
++from unittest.mock import patch
++
++import numpy as np
++import CelerisLab
++from CelerisLab.cuda import compiler_v2 as compiler
++from run_j1 import ROOT, make_sim, populations, observables, population_budget, off_path_check
++
++NX, WIDTH, CHUNK = 48, 16, 519
++GATES = dict(velocity_change=5e-5, mass_change=2e-6, mass_window_span=6e-6,
++             mass_offset=1e-3, rho_error=.005, speed=.01, zero_speed=2e-6,
++             flux_error=.005, flux_span=.002, boundary_error=2e-6,
++             rho_symmetry=2e-5, velocity_symmetry=.002, budget_residual=2e-7)
++
++
++def targets(amplitude):
++    # Independent discrete quadrature, including the zero-target flanks.
++    x = np.arange(NX)-(NX-1)/2
++    bottom = amplitude*np.clip(1-(x/(WIDTH/2))**2, 0, None)**2
++    return bottom, bottom.mean(), np.abs(x) < WIDTH/2
++
++
++def full_width_check(baseline):
++    snapshots = []
++    for source, width in ((baseline, 0), (Path(compiler.kernel_path('')), NX)):
++        with patch.object(compiler, '_KERNEL_DIR', str(source)):
++            with make_sim(.002, nx=NX, top_u=0., slot_width=width) as sim:
++                sim.initialize()
++                initial = sim.get_ddf().copy()
++                sim.run(64)
++                snapshots.append((initial, sim.get_ddf().copy(), sim.get_flags().copy()))
++    return bool(all(np.array_equal(a, b) for a, b in zip(*snapshots)))
++
++
++def restart_check(sim, amplitude):
++    with TemporaryDirectory(prefix='celeris-j2-checkpoint-') as folder:
++        path = sim.save_checkpoint(str(Path(folder)/'slot.h5'))
++        sim.run(7)
++        expected, flags, count = sim.get_ddf().copy(), sim.get_flags().copy(), sim.stepper.step_count
++        with make_sim(amplitude, nx=NX, top_u=0., slot_width=WIDTH) as target:
++            target.load_checkpoint(path)
++            target.run(7)
++            equal = (np.array_equal(expected, target.get_ddf())
++                     and np.array_equal(flags, target.get_flags()) and count == target.stepper.step_count)
++        sim.load_checkpoint(path)
++        return bool(equal)
++
++
++def run_case(amplitude):
++    bottom, top, slot = targets(amplitude)
++    scale = max(abs(amplitude), .002)
++    with make_sim(amplitude, nx=NX, top_u=0., slot_width=WIDTH) as sim:
++        sim.initialize()
++        rho, ux, uy = observables(populations(sim))
++        initial_mass = float(rho.sum())
++        initial_error = float(max(np.abs(uy[0]-bottom).max(), np.abs(uy[-1]-top).max(), np.abs(ux).max()))
++        old_u, old_v, old_mass = ux.copy(), uy.copy(), initial_mass
++        history = [dict(step=0, mass=initial_mass)]
++        steady = False
++        for sample in range(1, 41):
++            sim.run(CHUNK)
++            f = populations(sim)
++            assert np.isfinite(f).all(), 'Nonfinite slot populations'
++            rho, ux, uy = observables(f)
++            mass = float(rho.sum())
++            history.append(dict(step=sim.stepper.step_count, mass=mass,
++                                u_change=float(np.sqrt(np.mean((ux-old_u)**2))/scale),
++                                v_change=float(np.sqrt(np.mean((uy-old_v)**2))/scale),
++                                mass_change=abs(mass-old_mass)/initial_mass))
++            old_u, old_v, old_mass = ux.copy(), uy.copy(), mass
++            span = float(np.ptp([r['mass'] for r in history[-5:]])/initial_mass)
++            steady = bool(sample >= 8 and span <= GATES['mass_window_span'] and all(
++                r['u_change'] <= GATES['velocity_change'] and r['v_change'] <= GATES['velocity_change']
++                and r['mass_change'] <= GATES['mass_change'] for r in history[-4:]))
++            if steady:
++                break
++        sections = [8, 16, 24]
++        actual_mass_flux = (rho*uy).sum(axis=1)
++        actual_volume_flux = uy.sum(axis=1)
++        request_q = float(bottom.sum())
++        reference = float(rho.mean()*request_q)
++        flux_error = float(np.max(np.abs(actual_mass_flux[sections]-reference))/abs(reference)) if amplitude else 0.
++        flux_span = float(np.ptp(actual_mass_flux[sections])/abs(reference)) if amplitude else 0.
++        symmetry = dict(rho=float(np.max(np.abs(rho-rho[:, ::-1]))),
++                        u=float(np.max(np.abs(ux+ux[:, ::-1]))/scale),
++                        v=float(np.max(np.abs(uy-uy[:, ::-1]))/scale))
++        boundary_error = float(max(np.abs(uy[0]-bottom).max(), np.abs(uy[-1]-top).max(),
++                                   np.abs(ux[[0, -1]]).max()))
++        offset = abs(mass-initial_mass)/initial_mass
++        speed = float(np.hypot(ux, uy).max())
++        density_error = float(np.abs(rho-1).max())
++        nonuniform = bool(uy[8, NX//2]*amplitude > 0 and np.abs(ux).max() > 1e-5) if amplitude else True
++        restart = restart_check(sim, amplitude) if amplitude > 0 else None
++        budget = population_budget(sim, bottom_slot=slot)
++        checks = dict(steady=steady, initialization=initial_error <= GATES['boundary_error'],
++                      boundary=boundary_error <= GATES['boundary_error'],
++                      mass=offset <= GATES['mass_offset'] and span <= GATES['mass_window_span'],
++                      bounded=density_error <= GATES['rho_error'] and speed <= GATES['speed'],
++                      flux=flux_error <= GATES['flux_error'] and flux_span <= GATES['flux_span'],
++                      symmetry=symmetry['rho'] <= GATES['rho_symmetry'] and
++                      max(symmetry['u'], symmetry['v']) <= GATES['velocity_symmetry'],
++                      zero=bool(amplitude or speed <= GATES['zero_speed']), nonuniform=nonuniform,
++                      restart=restart is not False, audit=budget['instrumented_matches_plain'] and
++                      budget['max_relative_residual'] <= GATES['budget_residual'])
++        checks = {name: bool(passed) for name, passed in checks.items()}
++        return dict(amplitude=amplitude, width=WIDTH, nx=NX, height=32, viscosity=.1, top_u=0.,
++                    steps=sim.stepper.step_count-16, max_steps=40*CHUNK, checks=checks, passed=all(checks.values()),
++                    requested_volume=request_q, top_target=top, bottom_targets=bottom.tolist(),
++                    velocity_scale=scale, rho_scale=1., initial_boundary_error=initial_error,
++                    boundary_error=boundary_error, mass_offset=offset, mass_window_span=span,
++                    flux_error=flux_error, flux_span=flux_span, section_y=sections,
++                    mass_flux_by_y=actual_mass_flux.tolist(), volume_flux_by_y=actual_volume_flux.tolist(),
++                    symmetry=symmetry, max_speed=speed, rho_error=density_error,
++                    rho=rho.tolist(), u=ux.tolist(), v=uy.tolist(), history=history,
++                    checkpoint_bitwise_equal=restart, population_budget=budget)
++
++
++def main():
++    parser = argparse.ArgumentParser(description=__doc__)
++    parser.add_argument('--output', type=Path, required=True)
++    parser.add_argument('--baseline-kernels', type=Path, required=True,
++                        help='Pre-J2 source for the required full-width and default-mode comparisons')
++    args = parser.parse_args()
++    assert Path.cwd() == ROOT == Path('/home/frank14f/CelerisLab')
++    assert sys.executable == '/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
++    assert Path(CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
++    assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == ROOT/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
++    assert os.environ.get('CUDA_VISIBLE_DEVICES') in ('0', '1')
++    report = dict(python=sys.executable, package=CelerisLab.__file__,
++                  cuda_source=compiler.kernel_path('kernel_v2.cu'), physical_gpu=os.environ['CUDA_VISIBLE_DEVICES'],
++                  gates=GATES, full_width_bitwise_equal=None, off_path_bitwise_equal=None, cases=[])
++    report['full_width_bitwise_equal'] = full_width_check(args.baseline_kernels)
++    report['off_path_bitwise_equal'] = off_path_check(args.baseline_kernels)
++    for amplitude in (0., .002, -.002):
++        case = run_case(amplitude)
++        report['cases'].append(case)
++        args.output.write_text(json.dumps(report, indent=2)+'\n')
++        print(json.dumps({k: case[k] for k in ('amplitude', 'steps', 'checks', 'mass_offset',
++                                             'mass_window_span', 'flux_error', 'symmetry')}), flush=True)
++    return 0 if (report['full_width_bitwise_equal'] is True and report['off_path_bitwise_equal'] is True
++                 and all(c['passed'] for c in report['cases'])) else 1
++
++
++if __name__ == '__main__':
++    raise SystemExit(main())
diff --git a/research/j2-slot-2026-10-12/results.json b/research/j2-slot-2026-10-12/results.json
new file mode 100644
index 0000000..b4272e2
--- /dev/null
+++ b/research/j2-slot-2026-10-12/results.json
@@ -0,0 +1,17204 @@
+{
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
+  "cuda_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
+  "physical_gpu": "0",
+  "gates": {
+    "velocity_change": 5e-05,
+    "mass_change": 2e-06,
+    "mass_window_span": 6e-06,
+    "mass_offset": 0.001,
+    "rho_error": 0.005,
+    "speed": 0.01,
+    "zero_speed": 2e-06,
+    "flux_error": 0.005,
+    "flux_span": 0.002,
+    "boundary_error": 2e-06,
+    "rho_symmetry": 2e-05,
+    "velocity_symmetry": 0.002,
+    "budget_residual": 2e-07
+  },
+  "full_width_bitwise_equal": true,
+  "off_path_bitwise_equal": true,
+  "cases": [
+    {
+      "amplitude": 0.0,
+      "width": 16,
+      "nx": 48,
+      "height": 32,
+      "viscosity": 0.1,
+      "top_u": 0.0,
+      "steps": 4152,
+      "max_steps": 20760,
+      "checks": {
+        "steady": true,
+        "initialization": true,
+        "boundary": true,
+        "mass": true,
+        "bounded": true,
+        "flux": true,
+        "symmetry": true,
+        "zero": true,
+        "nonuniform": true,
+        "restart": true,
+        "audit": true
+      },
+      "passed": true,
+      "requested_volume": 0.0,
+      "top_target": 0.0,
+      "bottom_targets": [
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+      "velocity_scale": 0.002,
+      "rho_scale": 1.0,
+      "initial_boundary_error": 0.0,
+      "boundary_error": 0.0,
+      "mass_offset": 6.705522487271409e-08,
+      "mass_window_span": 0.0,
+      "flux_error": 0.0,
+      "flux_span": 0.0,
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+          {
+            "step": 20773,
+            "mass": 1584.1348618399352,
+            "delta_mass": 1.0035932064056396e-05,
+            "bottom_net_in": -0.01706465147435665,
+            "top_net_in": 0.01706821843981743,
+            "collision_roundoff": 6.468966603279114e-06,
+            "physical_residual": 6.468966603279114e-06,
+            "budget_residual": 0.0,
+            "exchange": {
+              "slot": {
+                "incoming": 2.6582145150750875,
+                "outgoing": 2.6752727441489697
+              },
+              "flanks": {
+                "incoming": 5.3339387364685535,
+                "outgoing": 5.333945158869028
+              },
+              "top": {
+                "incoming": 8.009221967309713,
+                "outgoing": 7.992153748869896
+              }
+            }
+          },
+          {
+            "step": 20774,
+            "mass": 1584.1348718758672,
+            "delta_mass": 1.635029911994934e-05,
+            "bottom_net_in": -0.017064783722162247,
+            "top_net_in": 0.017068160697817802,
+            "collision_roundoff": 1.2973323464393616e-05,
+            "physical_residual": 1.2973323464393616e-05,
+            "budget_residual": 0.0,
+            "exchange": {
+              "slot": {
+                "incoming": 2.6582145486027002,
+                "outgoing": 2.675272708758712
+              },
+              "flanks": {
+                "incoming": 5.333938712254167,
+                "outgoing": 5.333945335820317
+              },
+              "top": {
+                "incoming": 8.009221961721778,
+                "outgoing": 7.99215380102396
+              }
+            }
+          },
+          {
+            "step": 20775,
+            "mass": 1584.1348882261664,
+            "delta_mass": 7.238239049911499e-06,
+            "bottom_net_in": -0.017065266147255898,
+            "top_net_in": 0.01706811413168907,
+            "collision_roundoff": 4.390254616737366e-06,
+            "physical_residual": 4.390254616737366e-06,
+            "budget_residual": 0.0,
+            "exchange": {
+              "slot": {
+                "incoming": 2.658214535564184,
+                "outgoing": 2.675272883847356
+              },
+              "flanks": {
+                "incoming": 5.333938669413328,
+                "outgoing": 5.333945587277412
+              },
+              "top": {
+                "incoming": 8.009222030639648,
+                "outgoing": 7.992153916507959
+              }
+            }
+          },
+          {
+            "step": 20776,
+            "mass": 1584.1348954644054,
+            "delta_mass": 6.327405571937561e-06,
+            "bottom_net_in": -0.01706523261964321,
+            "top_net_in": 0.017068319022655487,
+            "collision_roundoff": 3.2410025596618652e-06,
+            "physical_residual": 3.2410025596618652e-06,
+            "budget_residual": 0.0,
+            "exchange": {
+              "slot": {
+                "incoming": 2.6582146901637316,
+                "outgoing": 2.6752729639410973
+              },
+              "flanks": {
+                "incoming": 5.333938727155328,
+                "outgoing": 5.333945685997605
+              },
+              "top": {
+                "incoming": 8.009222108870745,
+                "outgoing": 7.992153789848089
+              }
+            }
+          }
+        ],
+        "instrumented_matches_plain": true,
+        "audit_source_sha256": "3018b449a088ae6d16a3f13ea99abc9decf1bbe074d543109fc130e54171536a",
+        "max_relative_residual": 0.0,
+        "max_physical_relative_residual": 8.189532150776494e-09
+      }
+    }
+  ]
+}
diff --git a/research/j3-coverage-2026-10-12/REVIEW.md b/research/j3-coverage-2026-10-12/REVIEW.md
new file mode 100644
index 0000000..5887cf7
--- /dev/null
+++ b/research/j3-coverage-2026-10-12/REVIEW.md
@@ -0,0 +1,94 @@
+# J3 最小功能覆盖：运行前冻结
+
+本轮唯一写入/执行者 root；仅新增独立验证脚本和本目录。257 个现有文件的 SHA256 已冻结于 baseline.json，含源码、旧测试、报告、日志、数据及真实 checkpoint；旧正例失败不改。固定已有 pycuda_3_10 解释器、当前仓库及进程 PYTHONPATH；每次科研命令核对 Python 包及 CUDA 源码来源。不安装依赖、不改生产公式、不提交推送、不访问其他项目、不联系外部评审。
+
+GPU 只选空闲的 0。初查 GPU0 为 0%/9 MiB，无计算进程；GPU1 有 362 MiB Python 作业，本轮不使用。正式命令前再查。48×35×9×4×2=120960 字节双缓冲，加 flags 3360 字节、宏观缓存约 20 KiB/实例；顺序实例及小型审计模块，预算显存低于 1 GiB、CPU RSS 低于 512 MiB、输出低于 10 MiB。系统当前可用内存约 56 GiB，GPU0 总显存 16 GiB。临时编译目录使用现有编译器的独立构建和清理；不改 PyCUDA 环境。
+
+## 固定顺序与判据
+
+1. 从既有 end-21280.h5 恢复，SHA256 `19a94e9e8db6dd9ac981effe06032c351992250b58768d9c090409193893d588`。校验配置、运行参数及 postcollision g(t) 分布阶段。A 在未推进时另存本轮 checkpoint，再推进 16 步到 21296；关闭 A 后新建 B，从本轮 checkpoint 独立恢复并推进 16 步。逐字节比 DDF/temp/flags，比较 step_count、config/runtime；不声称拥有历史不间断参照。失败或非有限即停，不继续零/负例。
+2. 同 48×35/W16、rho1、nu.1、U0、top reservoir，A=0，固定 64 步。每步检查有限性、rho/speed/质量界；记录初始化及 64 步的质量、速度、边界和密度。zero_speed≤2e-6；零参考相对通量为 N/A；不宣称完整稳态通过，不额外做预算推进。
+3. 唯一负例 A=−.002，同原参数，固定最多 40×519=20760 主轨迹步，不提前以某个短窗口改判。每步检查有限性、rho_error≤.005、speed≤.01、mass_offset≤1e-3；每 519 步检查 mass_change≤2e-6、最近最多五采样点质量跨度≤6e-6。任一硬界越界立即停止，保留失败统计及 checkpoint。每采样记录实际质量、u/v 带符号均值、完整场 RMS 差/.002、边界、通量、镜像和非均匀流向；速度稳态不通过可继续到固定上限一次。
+
+原全部 GATES 保留：velocity_change 5e-5（至少8间隔、末4间隔 u/v 同时满足）、mass_change 2e-6、mass_window_span 6e-6、mass_offset 1e-3、rho_error .005、speed .01、zero_speed 2e-6、flux_error .005、flux_span .002、boundary_error 2e-6、top_density_error 5e-7、rho_symmetry 2e-5、velocity_symmetry .002、budget_residual 2e-7，非零内部中心 v 与 A 同号且 max|u|>1e-5。未测/null 不计为通过；不改 gate、不选择偶数 lag。
+
+负例如能运行到上限，在20744保存实际checkpoint，普通路径推进最后16步到20760作参照；独立审计路径加载20744状态，仅推进同一窗口16步，不产生20760之后轨迹。复用已验证 AUDIT 记录真实 incoming/outgoing/collision，覆盖slot/flanks/top；保留临时源码 SHA、逐步真实账及与普通末态 DDF/temp/flags/config/runtime/count 逐值比较。主路径20760步、重叠审计16步分别计数。硬界失败则预算标未测，不继续。
+
+有限幅波动仅报告新轨迹每个519步窗口的在线时间方差 RMS、最大节点峰峰差和场差；不保留逐步全场、不追成因。短恢复/零例也逐步做安全检查。只保留聚合统计、日志和必要小checkpoint。正例只引用既有 J3/lag/offline 结果并明确窗口不同。完成后补一页功能范围/限制/下一里程碑，立即停止。
+
+## 完成摘要：恢复与零例通过，负例速度稳态失败
+
+本轮命令只执行一次，退出码 **1**，来自负例原稳态门槛失败；没有异常、越界或重跑。真实状态短恢复通过；零幅值短例通过。负例达到固定上限，除速度稳态外其余原验收项通过，不能将整体改判通过。正例沿用旧失败。
+
+| 项目 | 实际运行与结果 |
+| --- | --- |
+| 真实 checkpoint 续跑 | A 从旧 end-21280 恢复并另存，推进16步；关闭A后B从本轮另存文件恢复，推进16步；均到21296 |
+| 恢复比较 | 起点及终点 DDF/temp/flags 逐字节一致，step_count/config/runtime 一致；恢复检查通过 |
+| 零幅值 | 初始化+64步的65个状态，最大速度严格为0；质量相对跨度/最大偏移6.70552e-8；最大rho偏差7.45058e-8 |
+| 负幅值 | 普通路径20760步；独立审计仅重叠20744→20760的16步，未产生20760以后的负例轨迹 |
+| 资源/保留 | CPU峰值RSS 211.20 MiB；输出约0.7 MiB；257个旧文件哈希全部保持；未修改生产或旧测试 |
+
+总新执行求解步数为 **20872**：正态恢复两条路径各16步、零例64步、负例普通20760步、独立重叠审计16步；其中正态仅从21280推进至21296，没有正例20760步重放。本次没有测量显存峰值，显存大小在启动前估算并确认有足够余量；不能将估算写成实测。
+
+零例所有逐步数据在 results.json。边界指定速度误差0，顶密度最大误差7.45058e-8≤5e-7，质量跨度低于6e-6、偏移低于1e-3，每步质量变化低于2e-6，零速低于2e-6。相对流量误差/跨度为 null 并明确标 N/A（零参考）；没有将其计作通过，也没有声称64步满足至少8间隔的完整稳态要求。零例没有单独的population预算或恢复测试。
+
+### 正负实测与原门槛
+
+正例数值直接引用 j3-reservoir-2026-10-12/results.json，不重新运行；下表为各自20760末态，质量跨度和速度收敛取各自原末四间隔。
+
+| 量 | 原正例 +.002 | 本轮负例 −.002 | 原门槛 / 判定 |
+| --- | ---: | ---: | --- |
+| u场RMS变化/.002，末4 | 2.6381/2.6857/3.0247/2.9349 e-5 | 4.4394/4.3232/4.4663/4.4558 e-5 | ≤5e-5，均通过 |
+| v场RMS变化/.002，末4 | 7.3296/6.9940/6.4742/6.0220 e-5 | 6.0193/6.1294/6.3192/6.4750 e-5 | ≤5e-5，均失败 |
+| 初末质量相对偏移 | 1.93463e-7 | 3.08173e-7 | ≤1e-3，通过 |
+| 末四间隔质量跨度 | 2.97376e-8 | 3.64015e-8 | ≤6e-6，通过 |
+| 末间隔质量相对变化 | 2.17732e-8 | 6.19118e-9 | ≤2e-6，通过 |
+| rho最大偏差 | 2.45519e-4 | 2.53472e-4 | ≤.005，通过 |
+| 最大速度 | .00198440335 | .00198443044 | ≤.01，通过 |
+| 指定边界速度最大误差 | 3.66935e-8 | 3.56677e-8 | ≤2e-6，通过 |
+| 顶密度最大误差 | 2.06754e-7 | 1.97440e-7 | ≤5e-7，通过 |
+| 截面质量流量相对误差 | .0010008493 | .0007190498 | ≤.005，通过 |
+| 截面流量相对跨度 | .0005283367 | .0004005362 | ≤.002，通过 |
+| rho镜像误差 | 4.95464e-7 | 6.22123e-7 | ≤2e-5，通过 |
+| u/v镜像误差/.002 | .000202076/.000137884 | .000124795/.000216072 | 各≤.002，通过 |
+| 内部非均匀流向 | 通过（旧记录） | 中心v=−.001084366，max\|u\|=.000432660 | 中心v与A同号且max\|u\|>1e-5，通过 |
+| 初始化边界误差 | 通过（旧记录） | 1.78962e-8 | ≤2e-6，通过 |
+| 实际population预算 | 通过（旧末态后16步） | 通过（20744→20760） | 残差/M≤2e-7且逐值一致 |
+
+负例每步有限，逐步观测到的全程最大rho偏差 .000602724、最大速度 .001984436、最大质量偏移8.14183e-7；40个采样间隔的最大质量变化6.43070e-7、最大滚动跨度7.00168e-7，均低于对应硬界。各采样原始值保留，没有删掉早期瞬态。
+
+负例底请求体积流量−.01706689453125；20760末态距底8/16/24处实际质量流量分别−.01706145331、−.01705793291、−.01705461740。顶v范围[−.00045778788,−.00025554935]，没有强制等于初始均匀猜测。全域有符号速度均值u=1.29822e-9、v=−.000355422879；末519步有符号空间平均变化分别−1.11917e-10、−5.99107e-9。各y宏观质量/体积流量、顶底所有节点宏观量及每次采样的镜像/流向均保存。
+
+有限幅波动：负例最后 **20242–20760的519帧** 在线时间方差RMS为u=5.06547e-8、v=6.80326e-8；最大节点峰峰差为4.35901e-7、8.38259e-7。旧正例离线窗口为 **20760–21280的521帧**，RMS为3.36455e-8、7.37527e-8（引用旧文件）。时间窗口不同，不能宣称正负同窗口等价；不继续分析成因。
+
+### 重叠16步实际账
+
+临时审计 one_step_double.cu SHA256：`d6532c48ea0bf972bce6ec3809989e9f2ec52eb1440d58f8945eb59d67dcf1b5`。审计与普通末态DDF/temp/flags逐字节相同，配置/运行参数/步数相同。每步 ΔM−实际边界净交换−实际碰撞舍入残差为0，最大相对残差0≤2e-7；未扣舍入的最大相对残差7.51761e-9。
+
+| 16步平均实际量 | incoming | outgoing | 净进入 |
+| --- | ---: | ---: | ---: |
+| 底slot | 2.65799031034 | 2.67504728318 | −.01705697284 |
+| 底flanks | 5.33348024054 | 5.33348734328 | −7.10273e-6 |
+| 全顶部 | 8.00853079371 | 7.99147556582 | +.01705522789 |
+
+全边界平均净进入−8.84768e-6，碰撞舍入+8.26980e-6，实际ΔM=−5.77886e-7。预算闭合不代表速度稳态通过，也不等同于宏观截面流量。逐步原始账在results.json。
+
+## 可复核清单与后续边界
+
+唯一新增代码：tests/validation/run_j3_coverage.py；复用旧make_sim/observables/AUDIT及原GATES，未改旧脚本。新脚本SHA256 `329869519b7078e854d96241a7aad8ef93f35ac9be83f0be502c3a93523c3b13`。运行前同一解释器做语法、静止平衡分布宏观量/零参考N/A及状态步数比较的主机检查，均通过，没有初始化CUDA；没有跑无关矩阵。
+
+实际GPU命令（工作目录为 /home/frank14f/CelerisLab）：
+
+```bash
+env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_j3_coverage.py > research/j3-coverage-2026-10-12/gpu-validation.log 2>&1
+```
+
+脚本在创建CUDA上下文前复核GPU0无计算进程、显存小于100 MiB且利用率为0；记录包与kernel实际来源，并核对全部基线哈希。入口拒绝覆盖已有results.json，不能无意重跑。必要checkpoint四个均持久保存，本轮checkpoint路径、SHA及步数在results.json；原始日志、基线清单、独立新增脚本补丁保留，编译目录由现有编译器清理。
+
+**当前功能范围：** 在D2Q9/SRT/FP32/unshifted/double-buffer、无物体/力/LES、固定小网格上，有限平壁slot与顶部reservoir支持正向喷入、负向抽吸和短时零驱动；真实保存/加载后的短续跑一致。正负质量、边界、宏观流量、镜像及population账在上述窗口内通过。
+
+**尚不能保证：** 正负完整速度稳态均失败；未验证长期精度、网格收敛/精度阶、性能、多种碰撞/streaming组合、动态喷口、物体交互、曲面或AMR；零例仅64步，恢复一致只覆盖此次固定配置。量级小不构成精度保证。
+
+**下一真正功能里程碑建议：** 整理一个精简、可外部调用的平壁Jet案例入口，复用现有Simulation及参数，提供正/零/负幅值、喷口宽度和持久恢复用法，明确边界含义并如实显示未收敛状态；不要为此新增求解器抽象或启动AMR重构。这只是建议，本轮不实施。
+
+本轮完成并停止复审，不追加求解或波动诊断。
diff --git a/research/j3-coverage-2026-10-12/baseline-status.txt b/research/j3-coverage-2026-10-12/baseline-status.txt
new file mode 100644
index 0000000..78e8835
--- /dev/null
+++ b/research/j3-coverage-2026-10-12/baseline-status.txt
@@ -0,0 +1,73 @@
+ M pyproject.toml
+ M setup.py
+ M src/CelerisLab/__init__.py
+ M src/CelerisLab/body/__init__.py
+ M src/CelerisLab/body/ddf_patch.py
+ M src/CelerisLab/body/manager.py
+ M src/CelerisLab/body/preprocess/flag_overlay.py
+ M src/CelerisLab/common/__init__.py
+ M src/CelerisLab/common/checkpoint.py
+ M src/CelerisLab/config.py
+ M src/CelerisLab/configs/CONFIG.md
+ M src/CelerisLab/cuda/__init__.py
+ M src/CelerisLab/cuda/compiler_v2.py
+ M src/CelerisLab/cuda/context.py
+ M src/CelerisLab/lbm/__init__.py
+ M src/CelerisLab/lbm/curved_links.py
+ M src/CelerisLab/lbm/field.py
+ M src/CelerisLab/lbm/initializers.py
+ M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh
+ M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh
+ M src/CelerisLab/lbm/kernels/config/config_grid.h
+ M src/CelerisLab/lbm/kernels/config/config_method.h
+ M src/CelerisLab/lbm/kernels/config/config_objects.h
+ M src/CelerisLab/lbm/kernels/config/config_physics.h
+ M src/CelerisLab/lbm/kernels/kernel_v2.cu
+ M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh
+ M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh
+ M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh
+ M src/CelerisLab/lbm/kernels/step/aux_kernels.cu
+ M src/CelerisLab/lbm/kernels/step/esopull_sync.cu
+ M src/CelerisLab/lbm/kernels/step/init_flow.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_double.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu
+ M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh
+ M src/CelerisLab/lbm/stepper.py
+ M src/CelerisLab/simulation.py
+ M tests/integration/test_body_sync_e2e.py
+ M tests/integration/test_ddf_patch.py
+ M tests/integration/test_sync_bodies_skeleton.py
+ M tests/integration/test_unified_obs.py
+ M tests/postproc/experiment.ipynb
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+ M tests/validation/run_sah04_st_matrix.py
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+?? tests/unit/cpp/
+?? tests/unit/test_build_contracts.py
+?? tests/unit/test_context_ownership.py
+?? tests/unit/test_initializers.py
+?? tests/unit/test_numerical_operators.py
+?? tests/unit/test_planar_velocity.py
+?? tests/unit/test_reservoir.py
+?? tests/unit/test_simulation_lifecycle.py
+?? tests/unit/test_slot_velocity.py
+?? tests/unit/test_state_regressions.py
+?? tests/validation/analyze_j3_saved_frames.py
+?? tests/validation/diagnose_j3_lags.py
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+?? tests/validation/run_j2_slot.py
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diff --git a/research/j3-coverage-2026-10-12/baseline.json b/research/j3-coverage-2026-10-12/baseline.json
new file mode 100644
index 0000000..0959725
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+    "tests/unit/test_sync_plan.py": "983313ef783143231fa5a392f85f3bac011184773ccaf5d946504c206cabb721",
+    "tests/validation/analyze_j3_saved_frames.py": "438f67dac682b94c4950626f8de4fdcde48c3a4e9ecf8fdf1b0ada4b6e0e781a",
+    "tests/validation/diagnose_j3_lags.py": "286fcd65b3261667a847b9b26e213d0af92cf459faa6bbd774f78c8479ce31d7",
+    "tests/validation/multigrid/MULTIGRID_VERIFICATION_STRATEGY.md": "d4f3473da44abee6031a0e1bd4d0ca589077a18f15d2461836e4d2ebb98e458a",
+    "tests/validation/run_j1.py": "51b758a271ff358f931b3140a80082294a67e66c2fec0f8c19319e37f92aadc4",
+    "tests/validation/run_j2_slot.py": "b7d2d3aa06fcafc3ac62ed4a50892afbdb7f86e5720ce75a39ce317b6f571dad",
+    "tests/validation/run_j3_reservoir.py": "47535bc3569ce68c888d38978bc4f9077fd763a17829c20c081be52bb18a2903",
+    "tests/validation/run_kan99b_rotating_cylinder.py": "323186429a100f36b41ab9b81ade2da6a47e93be3ccb7034a3a6b97f4ee8eb00",
+    "tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
+    "tests/validation/run_poiseuille.py": "e529288e2ffa8e00d281a9006723954d60a96ae4d025e8f28656c09287d4ff46",
+    "tests/validation/run_sah04_st_matrix.py": "9b9c0ce063e07a316846635ee769b837ed26be6bf039f78f4219c10b516f8006",
+    "tests/validation/test_sensor_accuracy.py": "c6038a9e7a597a1738814bd15e6ecf357cfd271cdc2a132d47943c5280ac0ef9"
+  }
+}
diff --git a/research/j3-coverage-2026-10-12/incremental.diff b/research/j3-coverage-2026-10-12/incremental.diff
new file mode 100644
index 0000000..f0d502d
--- /dev/null
+++ b/research/j3-coverage-2026-10-12/incremental.diff
@@ -0,0 +1,348 @@
+diff --git a/tests/validation/run_j3_coverage.py b/tests/validation/run_j3_coverage.py
+new file mode 100644
+index 0000000..d66c299
+--- /dev/null
++++ b/tests/validation/run_j3_coverage.py
+@@ -0,0 +1,342 @@
++"""One bounded J3 restart/zero/negative run; frozen plan in research/j3-coverage-2026-10-12."""
++from dataclasses import asdict
++import hashlib
++import json
++import os
++from pathlib import Path
++import resource
++import subprocess
++import sys
++import traceback
++
++import h5py
++import numpy as np
++import pycuda.driver as cuda
++import CelerisLab
++from CelerisLab.cuda import compiler_v2 as compiler
++from run_j1 import ROOT, AUDIT, make_sim, populations, observables
++from run_j2_slot import GATES, targets
++
++OUT = ROOT/'research/j3-coverage-2026-10-12'
++SOURCE = ROOT/'research/j3-lag-2026-10-12/end-21280.h5'
++SOURCE_SHA = '19a94e9e8db6dd9ac981effe06032c351992250b58768d9c090409193893d588'
++SCALE, CHUNK, LIMIT = .002, 519, 20760
++
++
++def sha(path):
++    digest = hashlib.sha256()
++    with Path(path).open('rb') as stream:
++        for chunk in iter(lambda: stream.read(1024*1024), b''):
++            digest.update(chunk)
++    return digest.hexdigest()
++
++
++def create(amplitude):
++    return make_sim(amplitude, nx=48, top_u=0., slot_width=16, top_mode='reservoir')
++
++
++def state(sim):
++    arrays = dict(ddf=np.empty(sim.field.n*9, dtype=np.float32),
++                  temp=np.empty(sim.field.n*9, dtype=np.float32),
++                  flag=np.empty(sim.field.n, dtype=np.uint16))
++    with sim.ctx.activate():
++        for name, array in arrays.items():
++            cuda.memcpy_dtoh(array, getattr(sim.field, name+'_gpu'))
++    return dict(arrays=arrays, step=sim.stepper.step_count,
++                config=asdict(sim.lbm_cfg), runtime=sim.field._runtime_params.copy())
++
++
++def compare(a, b):
++    checks = {name: a['arrays'][name].tobytes() == b['arrays'][name].tobytes()
++              for name in a['arrays']}
++    checks.update({name: a[name] == b[name] for name in ('step', 'config', 'runtime')})
++    return checks
++
++
++def persist(sim, name):
++    path = OUT/name
++    assert not path.exists(), path
++    sim.save_checkpoint(str(path))
++    return dict(path=str(path), sha256=sha(path), step=sim.stepper.step_count)
++
++
++def measure(f, amplitude, initial_mass, previous=None):
++    rho, u, v = observables(f)
++    bottom, top, _ = targets(amplitude)
++    mass = float(rho.sum())
++    flux = (rho*v).sum(axis=1)
++    reference = float(rho.mean()*bottom.sum())
++    row = dict(mass=mass, mass_offset=abs(mass-initial_mass)/initial_mass,
++               rho_range=[float(rho.min()), float(rho.max())], rho_error=float(np.abs(rho-1).max()),
++               max_speed=float(np.hypot(u, v).max()), u_mean=float(u.mean()), v_mean=float(v.mean()),
++               boundary_error=float(max(np.abs(v[0]-bottom).max(), np.abs(u[[0, -1]]).max())),
++               top_density_error=float(np.abs(rho[-1]-1).max()),
++               top_velocity_range=[float(v[-1].min()), float(v[-1].max())],
++               mass_flux_by_y=flux.tolist(), volume_flux_by_y=v.sum(axis=1).tolist(),
++               flux_error=float(np.max(np.abs(flux[[8, 16, 24]]-reference))/abs(reference)) if amplitude else None,
++               flux_span=float(np.ptp(flux[[8, 16, 24]])/abs(reference)) if amplitude else None,
++               symmetry=dict(rho=float(np.max(np.abs(rho-rho[:, ::-1]))),
++                             u=float(np.max(np.abs(u+u[:, ::-1]))/SCALE),
++                             v=float(np.max(np.abs(v-v[:, ::-1]))/SCALE)),
++               center_v=float(v[8, 24]), max_abs_u=float(np.abs(u).max()),
++               nonuniform=bool(v[8, 24]*amplitude > 0 and np.abs(u).max() > 1e-5) if amplitude else None,
++               finite=bool(np.isfinite(f).all() and np.isfinite(rho).all() and
++                           np.isfinite(u).all() and np.isfinite(v).all()))
++    if previous is not None:
++        row.update(u_change=float(np.sqrt(np.mean((u-previous[0])**2))/SCALE),
++                   v_change=float(np.sqrt(np.mean((v-previous[1])**2))/SCALE),
++                   u_signed_change=float((u-previous[0]).mean()),
++                   v_signed_change=float((v-previous[1]).mean()))
++    return row, (rho, u, v)
++
++
++def check_step(sim, mass0, extrema):
++    f = populations(sim)
++    rho, u, v = observables(f)
++    values = dict(rho_error=float(np.abs(rho-1).max()), speed=float(np.hypot(u, v).max()),
++                  mass_offset=abs(float(rho.sum())-mass0)/mass0)
++    finite = bool(np.isfinite(f).all() and all(np.isfinite(a).all() for a in (rho, u, v)))
++    for key, value in values.items():
++        extrema[key] = max(extrema.get(key, 0.), value)
++    if not finite or any(value > GATES[key] for key, value in values.items()):
++        raise RuntimeError(f'Hard stop at step {sim.stepper.step_count}: finite={finite}, {values}')
++    return f, (rho, u, v)
++
++
++def restart(report, save):
++    with h5py.File(SOURCE, 'r') as hf:
++        assert int(hf.attrs['step_count']) == 21280
++        assert str(hf.attrs['distribution_phase']).startswith('postcollision g(t)')
++        config, runtime = json.loads(hf.attrs['config_json']), json.loads(hf.attrs['runtime_params_json'])
++        saved = {name: hf[name][:] for name in ('ddf', 'temp', 'flag')}
++    row = report['restart'] = dict(status='running', source=str(SOURCE), source_sha256=sha(SOURCE),
++                                    start=21280, end=21296, a_steps=0, b_steps=0, extrema={})
++    for label in ('a', 'b'):
++        with create(.002) as sim:
++            sim.load_checkpoint(str(SOURCE if label == 'a' else OUT/'restart-21280.h5'))
++            before = state(sim)
++            assert before['config'] == config and before['runtime'] == runtime
++            checks = compare(dict(arrays=saved, step=21280, config=config, runtime=runtime), before)
++            row[label+'_initial_equal'] = checks
++            assert all(checks.values()), checks
++            mass0 = float(observables(populations(sim))[0].sum())
++            check_step(sim, mass0, row['extrema'])
++            if label == 'a':
++                row['checkpoint'] = persist(sim, 'restart-21280.h5')
++            for _ in range(16):
++                sim.run(1)
++                row[label+'_steps'] += 1
++                check_step(sim, mass0, row['extrema'])
++            if label == 'a':
++                expected = state(sim)
++                row['reference_end'] = persist(sim, 'restart-reference-21296.h5')
++            else:
++                row['continued_equal'] = compare(expected, state(sim))
++    row['status'] = 'passed' if all(row['continued_equal'].values()) else 'failed'
++    save()
++    assert row['status'] == 'passed', row['continued_equal']
++    print('RESTART', json.dumps(row), flush=True)
++
++
++def zero(report, save):
++    row = report['zero'] = dict(status='running', steps=0, history=[], extrema={},
++                                steady='not_tested_short_case', flux_relative='not_applicable_zero_reference')
++    with create(0.) as sim:
++        sim.initialize()
++        mass0 = float(observables(populations(sim))[0].sum())
++        for step in range(65):
++            if step:
++                sim.run(1)
++            row['steps'] = step
++            f, fields = check_step(sim, mass0, row['extrema'])
++            sample, _ = measure(f, 0., mass0)
++            sample['step'] = step
++            row['history'].append(sample)
++            if sample['max_speed'] > GATES['zero_speed']:
++                raise RuntimeError(f'Zero speed exceeds gate at {step}')
++            if np.ptp([s['mass'] for s in row['history']])/mass0 > GATES['mass_window_span']:
++                raise RuntimeError(f'Zero mass span exceeds gate at {step}')
++            if step and abs(sample['mass']-row['history'][-2]['mass'])/mass0 > GATES['mass_change']:
++                raise RuntimeError(f'Zero mass change exceeds gate at {step}')
++        row['mass_span'] = float(np.ptp([s['mass'] for s in row['history']])/mass0)
++        row['checks'] = dict(zero_speed=row['extrema']['speed'] <= GATES['zero_speed'],
++                            mass_offset=row['extrema']['mass_offset'] <= GATES['mass_offset'],
++                            mass_span=row['mass_span'] <= GATES['mass_window_span'],
++                            mass_change=max(abs(s['mass']-p['mass'])/mass0 for p,s in zip(row['history'],row['history'][1:])) <= GATES['mass_change'],
++                            boundary=max(s['boundary_error'] for s in row['history']) <= GATES['boundary_error'],
++                            top_density=max(s['top_density_error'] for s in row['history']) <= 5e-7,
++                            finite=all(s['finite'] for s in row['history']))
++        row['status'] = 'passed' if all(row['checks'].values()) else 'failed'
++        save()
++        assert row['status'] == 'passed', row['checks']
++    print('ZERO', json.dumps({k:v for k,v in row.items() if k != 'history'}), flush=True)
++
++
++def audit(reference, mass0, report):
++    result = dict(status='running', start=LIMIT-16, end=LIMIT, plain_steps=16, audit_steps=0, steps=[])
++    report['negative']['population_budget'] = result
++    with create(-.002) as sim:
++        sim.load_checkpoint(str(OUT/'negative-budget-20744.h5'))
++        build = compiler.generate_config(sim.lbm_cfg)
++        original = sim.stepper.step_fn
++        try:
++            source = Path(build)/'step/one_step_double.cu'
++            code = source.read_text()
++            call, marker = 'collide_dispatch(f, rho_n, ux, uy);', '__global__ __launch_bounds__(NT, 2)'
++            assert code.count(call) == code.count(marker) == 1
++            source.write_text(code.replace(call, 'j1_collide_audit(f, rho_n, ux, uy);').replace(marker, AUDIT+'\n'+marker))
++            result['audit_source_sha256'] = sha(source)
++            ptx = compiler.compile_kernel(build_dir=build)
++            with sim.ctx.activate():
++                module = compiler.load_module(ptx)
++                ptr, size = module.get_global('d_params')
++                cuda.memcpy_dtod(ptr, sim.field.module.get_global('d_params')[0], size)
++                iptr, _ = module.get_global('j1_incoming')
++                cptr, size = module.get_global('j1_collision')
++                cuda.memset_d8(cptr, 0, size)
++                incoming, collision = np.empty((2,48)), np.empty((35,48))
++                sim.stepper.step_fn = module.get_function('OneStep')
++                slot = targets(-.002)[2]
++                for _ in range(16):
++                    before = populations(sim)
++                    outgoing = np.stack((before[[4,6,7],1].sum(axis=0), before[[3,5,8],-2].sum(axis=0)))
++                    mass = float(before[:,1:-1].sum())
++                    sim.run(1)
++                    result['audit_steps'] += 1
++                    after, _ = check_step(sim, mass0, report['negative']['extrema'])
++                    cuda.memcpy_dtoh(incoming, iptr)
++                    cuda.memcpy_dtoh(collision, cptr)
++                    delta = float(after[:,1:-1].sum()-mass)
++                    net = float(incoming.sum()-outgoing.sum())
++                    rounding = float(collision.sum())
++                    entry = dict(step=sim.stepper.step_count, mass=mass, delta_mass=delta,
++                                 net_boundary=net, collision_roundoff=rounding,
++                                 physical_residual=delta-net, budget_residual=delta-net-rounding,
++                                 exchange={name:dict(incoming=float(i.sum()), outgoing=float(o.sum()))
++                                           for name,i,o in [('slot',incoming[0,slot],outgoing[0,slot]),
++                                                            ('flanks',incoming[0,~slot],outgoing[0,~slot]),
++                                                            ('top',incoming[1],outgoing[1])]})
++                    result['steps'].append(entry)
++                    if abs(entry['budget_residual'])/mass > GATES['budget_residual']:
++                        raise RuntimeError('Population budget gate exceeded')
++            result['continued_equal'] = compare(reference, state(sim))
++            result['max_relative_residual'] = max(abs(s['budget_residual'])/s['mass'] for s in result['steps'])
++            result['max_physical_relative_residual'] = max(abs(s['physical_residual'])/s['mass'] for s in result['steps'])
++            result['status'] = 'passed' if all(result['continued_equal'].values()) else 'failed'
++        finally:
++            sim.stepper.step_fn = original
++            compiler.cleanup_build_dir(build)
++    return result
++
++
++def negative(report, save):
++    row = report['negative'] = dict(status='running', amplitude=-.002, steps=0, main_steps=0,
++                                    history=[], extrema={}, population_budget=dict(status='not_tested'))
++    with create(-.002) as sim:
++        sim.initialize()
++        initial = populations(sim)
++        mass0 = float(observables(initial)[0].sum())
++        first, fields = measure(initial, -.002, mass0)
++        first.update(step=0)
++        row['history'].append(first)
++        bottom, top, _ = targets(-.002)
++        row['initial_error'] = float(max(np.abs(fields[2][0]-bottom).max(), np.abs(fields[2][-1]-top).max(), np.abs(fields[1]).max()))
++        previous, mass_previous = fields[1:], mass0
++        check_step(sim, mass0, row['extrema'])
++        try:
++            for interval in range(1,41):
++                mean = np.zeros((2,33,48)); m2 = np.zeros_like(mean)
++                low, high = np.full_like(mean, np.inf), np.full_like(mean, -np.inf)
++                for n in range(1,CHUNK+1):
++                    if sim.stepper.step_count == LIMIT-16:
++                        row['budget_start'] = persist(sim, 'negative-budget-20744.h5')
++                    sim.run(1)
++                    row['steps'] = row['main_steps'] = sim.stepper.step_count
++                    f, fields = check_step(sim, mass0, row['extrema'])
++                    uv = np.stack(fields[1:])
++                    delta = uv-mean
++                    mean += delta/n
++                    m2 += delta*(uv-mean)
++                    low, high = np.minimum(low,uv), np.maximum(high,uv)
++                sample, fields = measure(f, -.002, mass0, previous)
++                sample.update(step=sim.stepper.step_count, mass_change=abs(sample['mass']-mass_previous)/mass0,
++                              fluctuation=dict(samples=CHUNK, first_step=sim.stepper.step_count-CHUNK+1,
++                                               rms=np.sqrt(np.mean(m2/CHUNK,axis=(1,2))).tolist(),
++                                               max_node_peak_to_peak=np.max(high-low,axis=(1,2)).tolist()))
++                row['history'].append(sample)
++                sample['mass_window_span'] = float(np.ptp([s['mass'] for s in row['history'][-5:]])/mass0)
++                previous, mass_previous = fields[1:], sample['mass']
++                save()
++                print('NEGATIVE', json.dumps({k:sample[k] for k in ('step','mass_offset','mass_change','mass_window_span','u_change','v_change','flux_error','boundary_error')}), flush=True)
++                if sample['mass_change'] > GATES['mass_change'] or sample['mass_window_span'] > GATES['mass_window_span']:
++                    raise RuntimeError('Negative sampled mass hard gate exceeded')
++                assert resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024 < 512
++            reference = state(sim)
++            row['end_checkpoint'] = persist(sim, 'negative-end-20760.h5')
++            row['final_boundary'] = dict(bottom_rho=fields[0][0].tolist(), bottom_u=fields[1][0].tolist(),
++                                         bottom_v=fields[2][0].tolist(), top_rho=fields[0][-1].tolist(),
++                                         top_u=fields[1][-1].tolist(), top_v=fields[2][-1].tolist())
++        except Exception:
++            row['failure_checkpoint'] = persist(sim, 'negative-failure.h5')
++            raise
++    budget = audit(reference, mass0, report)
++    last, tail = row['history'][-1], row['history'][-4:]
++    checks = dict(steady=len(row['history']) >= 9 and all(s['u_change'] <= GATES['velocity_change'] and s['v_change'] <= GATES['velocity_change'] and s['mass_change'] <= GATES['mass_change'] for s in tail) and last['mass_window_span'] <= GATES['mass_window_span'],
++                  initialization=row['initial_error'] <= GATES['boundary_error'],
++                  boundary=last['boundary_error'] <= GATES['boundary_error'],
++                  top_density=last['top_density_error'] <= 5e-7,
++                  mass=last['mass_offset'] <= GATES['mass_offset'] and last['mass_window_span'] <= GATES['mass_window_span'],
++                  bounded=last['rho_error'] <= GATES['rho_error'] and last['max_speed'] <= GATES['speed'],
++                  flux=last['flux_error'] <= GATES['flux_error'] and last['flux_span'] <= GATES['flux_span'],
++                  symmetry=last['symmetry']['rho'] <= GATES['rho_symmetry'] and max(last['symmetry']['u'],last['symmetry']['v']) <= GATES['velocity_symmetry'],
++                  nonuniform=last['nonuniform'], audit=budget['status'] == 'passed' and budget['max_relative_residual'] <= GATES['budget_residual'])
++    row['checks'] = {k:bool(v) for k,v in checks.items()}
++    row['status'] = 'passed' if all(checks.values()) else 'failed'
++    save()
++    print('NEGATIVE RESULT',json.dumps(row['checks']),flush=True)
++
++
++def main():
++    assert Path.cwd() == ROOT == Path('/home/frank14f/CelerisLab')
++    assert sys.executable == '/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
++    assert Path(CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
++    assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == ROOT/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
++    assert os.environ.get('CUDA_VISIBLE_DEVICES') == '0'
++    assert not (OUT/'results.json').exists(), 'Do not repeat this run'
++    baseline = json.loads((OUT/'baseline.json').read_text())
++    assert all(sha(ROOT/name) == digest for name,digest in baseline['hashes'].items())
++    assert sha(SOURCE) == SOURCE_SHA
++    gpu = subprocess.check_output(['nvidia-smi','-i','0','--query-gpu=memory.used,utilization.gpu','--format=csv,noheader,nounits'],text=True)
++    used, utilization = map(int,gpu.strip().split(','))
++    apps = subprocess.check_output(['nvidia-smi','-i','0','--query-compute-apps=pid','--format=csv,noheader'],text=True)
++    assert not apps.strip() and used < 100 and utilization == 0, (gpu,apps)
++    report = dict(python=sys.executable, package=CelerisLab.__file__, cuda_source=compiler.kernel_path('kernel_v2.cu'),
++                  script_sha256=sha(__file__), gpu='0', gpu_before=gpu, gates=dict(GATES,top_density_error=5e-7),
++                  restart=dict(status='not_tested'),zero=dict(status='not_tested'),negative=dict(status='not_tested'))
++
++    def save():
++        report['peak_rss_mib'] = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024
++        (OUT/'results.json').write_text(json.dumps(report,indent=2)+'\n')
++
++    print('SOURCES',report['python'],report['package'],report['cuda_source'],flush=True)
++    save()
++    try:
++        restart(report,save)
++        zero(report,save)
++        negative(report,save)
++    except Exception as error:
++        report['error'] = repr(error)
++        for name in ('restart','zero','negative'):
++            if report[name]['status'] == 'running': report[name]['status'] = 'failed'
++        budget = report['negative'].get('population_budget', {})
++        if budget.get('status') == 'running': budget['status'] = 'failed'
++        traceback.print_exc()
++    finally:
++        report['old_files_unchanged'] = all(sha(ROOT/name) == digest for name,digest in baseline['hashes'].items())
++        save()
++    print('FINAL',json.dumps({name:report[name]['status'] for name in ('restart','zero','negative')}),flush=True)
++    return 0 if report['old_files_unchanged'] and all(report[n]['status']=='passed' for n in ('restart','zero','negative')) else 1
++
++
++if __name__ == '__main__':
++    raise SystemExit(main())
diff --git a/research/j3-coverage-2026-10-12/negative-budget-20744.h5 b/research/j3-coverage-2026-10-12/negative-budget-20744.h5
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diff --git a/research/j3-coverage-2026-10-12/negative-end-20760.h5 b/research/j3-coverage-2026-10-12/negative-end-20760.h5
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diff --git a/research/j3-coverage-2026-10-12/restart-21280.h5 b/research/j3-coverage-2026-10-12/restart-21280.h5
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+    },
+    "checks": {
+      "steady": false,
+      "initialization": true,
+      "boundary": true,
+      "top_density": true,
+      "mass": true,
+      "bounded": true,
+      "flux": true,
+      "symmetry": true,
+      "nonuniform": true,
+      "audit": true
+    }
+  },
+  "peak_rss_mib": 211.19921875,
+  "old_files_unchanged": true
+}
diff --git a/research/j3-coverage-2026-10-12/verification.json b/research/j3-coverage-2026-10-12/verification.json
new file mode 100644
index 0000000..78a07c4
--- /dev/null
+++ b/research/j3-coverage-2026-10-12/verification.json
@@ -0,0 +1,31 @@
+{
+  "old_files_verified": 257,
+  "changed_old_files": [],
+  "new_code_files": [
+    "tests/validation/run_j3_coverage.py"
+  ],
+  "production_changes": 0,
+  "script_sha256": "329869519b7078e854d96241a7aad8ef93f35ac9be83f0be502c3a93523c3b13",
+  "checkpoint_hashes_verified": 4,
+  "solver_advances": {
+    "restart_a": 16,
+    "restart_b": 16,
+    "zero": 64,
+    "negative_plain": 20760,
+    "negative_overlapping_audit": 16
+  },
+  "gpu_after": "GPU0: 5 MiB, 0%, no compute process",
+  "git_diff_check": "passed",
+  "artifacts": {
+    "REVIEW.md": "7293f3f3442855c8521698605aab504e026915a7bf1e77f5a24710d89a812443",
+    "baseline-status.txt": "31c949b11b20d7cd4202dba16882b5712aa1653da0cb2da2f0ebd69bf488040e",
+    "baseline.json": "d8844104f2665a25bfc417ee29becf89ab3955fac9105b5ddb12cfb1fe2a55b0",
+    "gpu-validation.log": "505cd5a5db46d7984aefb2a614151c25c4ace0e7d2a52e02c3e4f9792fd8eb95",
+    "incremental.diff": "98aa7855d5d6b91b4509a924c8a5aabab4339ba29c7e7dc2d91262c48e3848ca",
+    "negative-budget-20744.h5": "c09d75fc4a2cff68039a0956bd9d32b79b9cd3a6b386c72b4db54c214b110cd8",
+    "negative-end-20760.h5": "bd0bd063579d625e358762b1fdde5ac11bfcf739646a847fb77a4a2031011b9b",
+    "restart-21280.h5": "3e89c12c16f91f76ca9acd909e0fa7d42df6fbb5e870b299aa08ca42bc3e3dc9",
+    "restart-reference-21296.h5": "7192f510dd7820675aa1de130f55514136fba782cf77f92545189918a7e0c328",
+    "results.json": "02460981ad49c9cc13b4246abad1d8afd2599c61bfb545a6e32da9bbcd5c0db1"
+  }
+}
diff --git a/research/j3-lag-2026-10-12/REVIEW.md b/research/j3-lag-2026-10-12/REVIEW.md
new file mode 100644
index 0000000..34fe5db
--- /dev/null
+++ b/research/j3-lag-2026-10-12/REVIEW.md
@@ -0,0 +1,107 @@
+# J3 单轨迹 lag 诊断：运行前冻结计划
+
+2026-10-12。重新核对当前工作树并记录baseline.json准确哈希。仅新增独立诊断脚本和本目录证据，root唯一写入/计算者；不改任何生产公式、旧脚本、旧结果或环境。J3原验收失败保持。本次不是新验收，不调整任何门槛。
+
+## 固定状态与步数
+
+同NX48/NY35/H32/W16、nu=.1、U=0、rho0=1、A=+.002、D2Q9/SRT/FP32/unshifted/double-buffer、top_wall_bc=reservoir，无物体/力/LES。同make_sim、初始化g(0)=局部feq、pull→arrival重建→collision→postcollision g(t)。仅此正例。
+
+先40次各519步，到t0=20760；复用原完整场计算，保存重放40间隔历史并与原J3终态macros/history比较，不从macros重建DDF。不跑J1/J2/default回归。立即持久保存start-20760.h5，包含真实DDF、temp、flags/domain_flags、step_count、config、runtime_params及分布阶段说明。用新Simulation无时间推进load，按字节比较DDF/temp/flags，比较count、配置和运行参数；失败立即停止，不进入诊断。文件记录SHA256。
+
+然后只沿一个轨迹推进520步，记录n=0..520共521帧（t=20760..21280）。结束保存end-21280.h5及SHA256，同样无时间推进核验恢复。不删除这些唯一状态。所有统计覆盖固定完整窗口，不事后挑选窗口。
+
+## 场与统计定义
+
+统计格点为所有流体平面节点x=0..47、y=1..33，共1584点，含底slot、零速flanks和top，不含ghost y=0/34。用实际FP32 postcollision DDF在CPU float64求rho/u/v，分析精度不等于新增FP64运行支持。速度归一固定.002，密度归一rho0=1。
+
+- lag L=1/16/519：起点n=0..520−L，共520/505/**2**个合法起点；绝对起点t0+n。逐起点记录du=u[n+L]−u[n]、dv同理的空间RMS、max绝对值、空间有符号均值；向量记录sqrt(mean(du²+dv²))及max sqrt(du²+dv²)，同时保留两个有符号分量。汇总每种lag的均值/最小/最大，并给/.002归一结果。样本相互重叠；尤其519只有两个起点，不能声称大量独立样本。
+- 时间均值：521帧等权平均（含两端），保存完整平均rho/u/v场。记录每帧偏离时间均值的分量RMS/max、有符号空间均值、向量指标，以及全时间/空间汇总。
+- 有符号漂移：保存完整首末差u[520]−u[0]、v同理；平均每步漂移场=首末差/520（等于逐步差的时间均值）。报告每个分量的空间有符号均值、最小/最大，以及双分量向量均值；不只报非负RMS或范数。各lag另报告有符号空间均值/L，不能用u的对称抵消掩盖局部变化。
+- 每帧记录总质量M、全部y截面的实际宏观Σrho*v与Σv、顶rho/u/v和完整rho/u/v场。以单个压缩trajectory.h5保留原始完整场、逐步账和汇总数组，results.json保存可读摘要及文件哈希，不拆多份场文本。
+
+## 同一520步的真实population账
+
+不能调用原population_budget（会额外跑普通/审计轨迹）。只复用它已验证的AUDIT源码与临时构建注入方式，520步全部使用这一审计OneStep，不另跑普通轨迹。记录器仅用FP64累加已计算的FP32 populations，无生产公式改动。
+
+逐步保存所有底/顶节点实际incoming、由前一g(t)计算的outgoing，以及每个节点真实collision前后质量差。分账覆盖slot、全部零目标flanks和整个top，核对ΔM=边界净交换+collision舍入。另列未扣舍入的物理残差。目标Q仅作为记录，不用于填补预算。
+
+该临时源码SHA须匹配原J3已通过普通/审计逐值对照的源码SHA；同一诊断轨迹的前16步真实账与原J3既有16步记录比较，不增加步数。不会声称新做了520步普通/审计双轨迹对照。若源码或恢复状态不一致、发现明确阻塞，停止解释。
+
+RMS对lag的形状只提供相关性/漂移线索，既不证明噪声，也不证明FP32平台；不以约1e−7量级改判J3。保留其原40间隔非单调变化及末段下降。压力库下仍独立记录collision舍入，不推论其消失。
+
+固定cwd=/home/frank14f/CelerisLab、解释器/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python、进程PYTHONPATH=/home/frank14f/CelerisLab/src；执行时核对解释器、Python/CUDA实际来源及所有起点源哈希。GPU先核对获准0/1空闲；不杀其他作业，不改网络/全局环境/依赖，不提交推送。完成后停止。当前尚未执行重放或诊断。
+
+## 完成结果
+
+以上为运行前冻结计划。实际仅重放20760步一次，然后沿同一轨迹推进**520步**，末步21280，程序退出0。没有第二条520步轨迹或其他案例。重放40间隔历史及20760末态完整rho/u/v与原J3逐值一致；原非单调历史、末段下降及失败结论均保留，没有改判。
+
+两个真实checkpoint均通过无推进恢复：分别从GPU直接下载DDF/temp/flags，与HDF5数据按字节核对，再加载到新Simulation核对三块缓冲、步数、配置和运行参数。未由macros重建平衡分布。临时审计源码SHA与原J3一致，同一轨迹前16步的质量/边界/舍入账与原J3记录完全匹配；未另跑普通轨迹。
+
+### 多lag变化与有符号漂移
+
+下表RMS为各合法起点的空间RMS再作算术平均；max为所有起点/格点中的最大绝对分量差。数值均为未归一绝对速度；归一结果除以.002，逐起点数据与全部mean/min/max见trajectory.h5及results.json。
+
+| lag | 合法起点数 | u平均RMS | v平均RMS | u最大绝对差 | v最大绝对差 |
+| ---: | ---: | ---: | ---: | ---: | ---: |
+| 1 | 520 | 4.02775e−8 | 1.34694e−7 | 2.19793e−7 | 8.40133e−7 |
+| 16 | 505 | 4.25738e−8 | 4.92469e−8 | 2.10493e−7 | 5.14083e−7 |
+| 519 | **2** | 5.32746e−8 | 1.32336e−7 | 2.23534e−7 | 5.84936e−7 |
+
+lag519两个实际起点为20760、20761，对应v RMS为1.32748121e−7与1.31923248e−7；不能当作大量独立样本。u/v平均RMS除以.002分别为：lag1 (2.01388e−5,6.73470e−5)，lag16 (2.12869e−5,2.46235e−5)，lag519 (2.66373e−5,6.61678e−5)。向量RMS均值分别1.40599e−7、6.51399e−8、1.42657e−7；其双分量有符号均值在下表。
+
+| 量 | u分量 | v分量 |
+| --- | ---: | ---: |
+| lag1平均有符号空间变化 | +1.56269e−12 | −7.51472e−12 |
+| lag16平均有符号空间变化 | −1.43409e−11 | −2.77115e−10 |
+| lag519平均有符号空间变化 | +8.47311e−10 | −5.50534e−9 |
+| 首末变化的空间有符号均值 | +8.12599e−10 | −3.90766e−9 |
+| 平均每步有符号漂移 | +1.56269e−12 | −7.51472e−12 |
+| 首末局部变化最小值 | −1.62008e−7 | −2.55195e−7 |
+| 首末局部变化最大值 | +1.34117e−7 | +2.57095e−7 |
+
+完整首末变化与每步平均漂移向量场分别保存在end_minus_start_uv、mean_drift_per_step_uv，分量顺序u/v。不能因全域平均很小而忽略局部变化。相对521帧等权时间均值的全时空RMS为u=3.36455e−8、v=7.37527e−8，最大绝对偏差为u=1.79551e−7、v=4.99302e−7；完整均值场和逐帧偏差统计均保留。
+
+解释限度：v在lag16下的差异小于lag1与lag519，提示时间相关/相位结构的线索，不支持仅凭量级宣布独立噪声或FP32平台。不能排除更慢漂移或离散波动。lag519的新两个样本没有延续原J3末段单调下降的简单外推；原40间隔的非单调变化仍须一起看。本包既不修改原519间隔收敛判据，也不把选择较小的lag16当成通过依据。
+
+### 质量、宏观流量与真实账
+
+M从1583.999700639397变为1583.9996760860085，净变化−2.45534e−5，相对净变化−1.55009e−8；521帧相对质量跨度6.43318e−8。逐帧M及每步有符号ΔM完整保留，没有只报非负变化。
+
+| 实际520步平均账 | 每步数值 |
+| --- | ---: |
+| 底slot incoming / outgoing | 2.67535507278 / 2.65829271536 |
+| 底flanks incoming / outgoing | 5.33318304943 / 5.33317602280 |
+| 顶全平面 incoming / outgoing | 7.99146266776 / 8.00854370598 |
+| 全边界净交换 | −1.16541802597e−5 |
+| collision舍入 | +1.16069622051e−5 |
+| 全域ΔM | −4.72180545330e−8 |
+
+逐步预算残差最大值为0；未扣collision时最大相对物理预算残差1.15957e−8。压力库净排出与正collision舍入在这段轨迹中大部分抵消，舍入没有消失。slot/flanks/top的incoming/outgoing全节点数组及每节点collision差均保留，未遗漏零目标flanks；分段population账不直接等于该段宏观穿壁通量。
+
+底请求Q仍为.01706689453125。521帧平均宏观底/顶质量流量为.01706952701/.01708118459，平均宏观体积流量为.01706692824/.01708118487。顶rho全窗口范围[.9999996405094862,1.0000003930181265]，顶Cartesian v范围[.0002521053106847591,.0004627742200818292]。请求量、宏观面流量和分布交换分别记录，不互相自证。
+
+## 持久可恢复状态与数据
+
+所有文件均位于本目录，不在TemporaryDirectory中：
+
+- start-20760.h5，SHA256 `6c4cba5928c77566c2afc32231311a3986831c18fea766faadebb101243399e2`。
+- end-21280.h5，SHA256 `19a94e9e8db6dd9ac981effe06032c351992250b58768d9c090409193893d588`。
+- trajectory.h5（约17MiB），SHA256 `2b51f8ec5e0cc8ca72c73ac1b51dd611158368e6d6de791d85150fa111ea1986`。
+
+checkpoint版本仍为3，额外diagnostic属性只记录分布阶段和诊断脚本SHA。两块分布缓冲均为真实FP32状态；当前ddf是postcollision g(t)，不是到达态f，也不是由均值场生成的feq。配置与运行参数保存在原checkpoint属性中。未来使用同一make_sim参数后load_checkpoint即可恢复；继续推进需要另行明确下一工作包，不能以本次诊断授权追加计算。
+
+trajectory.h5存储521×33×48的rho/u/v、逐帧全y截面宏观流量、520×2×48边界incoming/outgoing、520×35×48实际collision差、完整逐步预算和lag/均值/漂移汇总。step数组给出绝对步数，recorded_samples=521；字段first_16_match_j3为true。results.json记录可读统计、重放历史、源/数据哈希和两个checkpoint核验结果。
+
+## 执行、检查与文件保留
+
+GPU启动前`nvidia-smi -i 0,1`显示两卡无计算任务（各5MiB，只有Xorg）；原始输出在gpu-availability.log。仅使用GPU0。科研命令只运行一次，实际命令为：
+
+```bash
+env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/diagnose_j3_lags.py --output-dir research/j3-lag-2026-10-12 > research/j3-lag-2026-10-12/gpu-diagnostic.log 2>&1
+```
+
+cwd为/home/frank14f/CelerisLab。脚本启动核对sys.executable、CelerisLab.__file__、kernel_v2.cu路径以及全部224个起点文件SHA。正式运行前用同一解释器和PYTHONPATH做了两次无CUDA初始化的主机解析fixture检查：u(n)=n×1e−8、v(n)=−2n×1e−8、n=0..520，独立核对lag起点数、RMS、带符号漂移、521帧时间均值偏差和归一化汇总；日志保存在host-check.log。fixture临时文件已自动清理。
+
+只读复核指出的两项主机侧完善均在GPU前完成：三块缓冲直接GPU下载；各lag全部指标的mean/min/max及/.002汇总完整保存。没有生产更改、额外GPU验收矩阵或重复轨迹。
+
+所有224个原有文件哈希保持不变，包括J1/J2/J3原结果、旧脚本、四个配置头及notebook。仅新增diagnose_j3_lags.py和本目录资料；incremental.diff为该独立脚本补丁。git diff --check及新增脚本补丁反向校验通过，唯一checkpoint和原始数据全部保留；无提交、推送或依赖/环境修改。任务到此停止，J3原失败结论不变。
diff --git a/research/j3-lag-2026-10-12/baseline-status.txt b/research/j3-lag-2026-10-12/baseline-status.txt
new file mode 100644
index 0000000..6ae6094
--- /dev/null
+++ b/research/j3-lag-2026-10-12/baseline-status.txt
@@ -0,0 +1,71 @@
+ M pyproject.toml
+ M setup.py
+ M src/CelerisLab/__init__.py
+ M src/CelerisLab/body/__init__.py
+ M src/CelerisLab/body/ddf_patch.py
+ M src/CelerisLab/body/manager.py
+ M src/CelerisLab/body/preprocess/flag_overlay.py
+ M src/CelerisLab/common/__init__.py
+ M src/CelerisLab/common/checkpoint.py
+ M src/CelerisLab/config.py
+ M src/CelerisLab/configs/CONFIG.md
+ M src/CelerisLab/cuda/__init__.py
+ M src/CelerisLab/cuda/compiler_v2.py
+ M src/CelerisLab/cuda/context.py
+ M src/CelerisLab/lbm/__init__.py
+ M src/CelerisLab/lbm/curved_links.py
+ M src/CelerisLab/lbm/field.py
+ M src/CelerisLab/lbm/initializers.py
+ M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh
+ M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh
+ M src/CelerisLab/lbm/kernels/config/config_grid.h
+ M src/CelerisLab/lbm/kernels/config/config_method.h
+ M src/CelerisLab/lbm/kernels/config/config_objects.h
+ M src/CelerisLab/lbm/kernels/config/config_physics.h
+ M src/CelerisLab/lbm/kernels/kernel_v2.cu
+ M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh
+ M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh
+ M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh
+ M src/CelerisLab/lbm/kernels/step/aux_kernels.cu
+ M src/CelerisLab/lbm/kernels/step/esopull_sync.cu
+ M src/CelerisLab/lbm/kernels/step/init_flow.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_double.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu
+ M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh
+ M src/CelerisLab/lbm/stepper.py
+ M src/CelerisLab/simulation.py
+ M tests/integration/test_body_sync_e2e.py
+ M tests/integration/test_ddf_patch.py
+ M tests/integration/test_sync_bodies_skeleton.py
+ M tests/integration/test_unified_obs.py
+ M tests/postproc/experiment.ipynb
+ M tests/validation/run_kan99b_rotating_cylinder.py
+ M tests/validation/run_sah04_st_matrix.py
+ M tests/validation/test_sensor_accuracy.py
+?? docs/design/
+?? docs/multilevel_grid_architecture_analysis.md
+?? research/
+?? src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
+?? "tests/audit/body\345\210\240\345\207\217\345\212\237\350\203\275.md"
+?? tests/integration/_cases.py
+?? tests/integration/test_numerical_gpu.py
+?? tests/integration/test_runtime_contracts_gpu.py
+?? tests/integration/test_state_gpu.py
+?? tests/unit/cpp/
+?? tests/unit/test_build_contracts.py
+?? tests/unit/test_context_ownership.py
+?? tests/unit/test_initializers.py
+?? tests/unit/test_numerical_operators.py
+?? tests/unit/test_planar_velocity.py
+?? tests/unit/test_reservoir.py
+?? tests/unit/test_simulation_lifecycle.py
+?? tests/unit/test_slot_velocity.py
+?? tests/unit/test_state_regressions.py
+?? tests/validation/multigrid/
+?? tests/validation/run_j1.py
+?? tests/validation/run_j2_slot.py
+?? tests/validation/run_j3_reservoir.py
+?? tests/validation/run_poiseuille.py
diff --git a/research/j3-lag-2026-10-12/baseline.json b/research/j3-lag-2026-10-12/baseline.json
new file mode 100644
index 0000000..5c289d1
--- /dev/null
+++ b/research/j3-lag-2026-10-12/baseline.json
@@ -0,0 +1,232 @@
+{
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
+  "cuda_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
+  "hashes": {
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+    "tests/postproc/run_exp_ctrl_matrix_vorticity.py": "b7e0c4113111b9b677f321750c0055656ccfa4f45c25fe7846f3ed22f30d1467",
+    "tests/postproc/run_kan99b_streakline.py": "a2bbf3fc629ea170d2d4879317dbf2b81c43378a328100ac1f2ee8d9895666cb",
+    "tests/postproc/run_stealth_steady_sweep.py": "3c32c4dede7da77fd6cfbd3f7b1ff43bb11390aaba621883ec96c6c7fdad5af7",
+    "tests/postproc/streakline_triangle_clean.png": "aa6669de7af6f82e98af25698a15f494e9cea20cb911ad9a30fe52597d33bb79",
+    "tests/postproc/vorticity_triangle_clean.png": "f831b8143b50f038d5920a0658469622655f34176d30cf7216feff108aa2ecaf",
+    "tests/screening/run_config_sweep.py": "5030c99923815ed6ad39110cb56f748c579ff4c66c7c1a368ad1a6008017e2ff",
+    "tests/specs/Kan99b_validation.md": "0d8bf74f2361f863809af1979bf8807adaa423f98321e1104a3d86d8c7a863cf",
+    "tests/specs/Sah04_validation.md": "1d122d29e281b7f50801b148f3314a0e35fdc27ee7d757c0a661243aa6185fb0",
+    "tests/specs/exp_ctrl_matrix.md": "5d9dd2e703582572eb68afe3a7096ea43ec82aa03418d20ed283c5365031e433",
+    "tests/specs/kan99b.md": "b7e0669f0a6b677d902204f3427d1b3ac254bfe70c37d9cf995fb3e8f1fedfb1",
+    "tests/specs/sah04.md": "33dbe5e0fd63738abd055c4aa403c191b6de04e6efdbc568f1942c6d23c7459f",
+    "tests/specs/streakline_notes.md": "cd342d214c07eb608ac2e5b8697322c44c31dbf4d27dfdb5409de46ef474df4b",
+    "tests/unit/__init__.py": "17f57920d9c1ff46096ceb2af008eb38c4b98dc81ffa3c3d310e758e80ca1cd4",
+    "tests/unit/test_body_flags.py": "ac6409157924e15a13a3d2cc2f1a09014b8b0198ba17c824f412ff20b19e2aac",
+    "tests/unit/test_equilibrium.py": "1ecbcc4547b1c846b75320463d828d6a36b6aae73208084fae476b1001c1bb50",
+    "tests/unit/test_pending_edits.py": "905a0dff23b123e8e38aaf364984c810fe51c39acd64aa271e343a4701d3d024",
+    "tests/unit/test_sync_plan.py": "983313ef783143231fa5a392f85f3bac011184773ccaf5d946504c206cabb721",
+    "tests/validation/run_kan99b_rotating_cylinder.py": "323186429a100f36b41ab9b81ade2da6a47e93be3ccb7034a3a6b97f4ee8eb00",
+    "tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
+    "tests/validation/run_sah04_st_matrix.py": "9b9c0ce063e07a316846635ee769b837ed26be6bf039f78f4219c10b516f8006",
+    "tests/validation/test_sensor_accuracy.py": "c6038a9e7a597a1738814bd15e6ecf357cfd271cdc2a132d47943c5280ac0ef9"
+  }
+}
diff --git a/research/j3-lag-2026-10-12/end-21280.h5 b/research/j3-lag-2026-10-12/end-21280.h5
new file mode 100644
index 0000000..f30b209
Binary files /dev/null and b/research/j3-lag-2026-10-12/end-21280.h5 differ
diff --git a/research/j3-lag-2026-10-12/incremental.diff b/research/j3-lag-2026-10-12/incremental.diff
new file mode 100644
index 0000000..5c6c485
--- /dev/null
+++ b/research/j3-lag-2026-10-12/incremental.diff
@@ -0,0 +1,279 @@
+--- /dev/null
++++ b/tests/validation/diagnose_j3_lags.py
+@@ -0,0 +1,276 @@
++"""One exact J3 replay and one 520-step audit trajectory; no production edits."""
++import argparse
++from dataclasses import asdict
++import hashlib
++import json
++import os
++from pathlib import Path
++import sys
++
++import h5py
++import numpy as np
++import pycuda.driver as cuda
++import CelerisLab
++from CelerisLab.cuda import compiler_v2 as compiler
++from run_j1 import ROOT, AUDIT, make_sim, populations, observables
++from run_j2_slot import targets
++
++START, LENGTH, SCALE = 20760, 520, .002
++PHASE = 'postcollision g(t); D2Q9 paired ordering; unshifted FP32 double_buffer; q,y,x'
++
++
++def sha(path):
++    return hashlib.sha256(Path(path).read_bytes()).hexdigest()
++
++
++def buffers(sim):
++    arrays = dict(ddf=np.empty(sim.field.n*sim.field.nq, dtype=np.float32),
++                  temp=np.empty(sim.field.n*sim.field.nq, dtype=np.float32),
++                  flag=np.empty(sim.field.n, dtype=np.uint16))
++    with sim.ctx.activate():
++        for name, array in arrays.items():
++            cuda.memcpy_dtoh(array, getattr(sim.field, name+'_gpu'))
++    return arrays
++
++
++def save_verified(sim, path):
++    """Persist both real buffers, then restore into a new case without advancing."""
++    assert not path.exists(), f'Refusing to overwrite {path}'
++    before, config = buffers(sim), asdict(sim.lbm_cfg)
++    params, count = sim.field._runtime_params.copy(), sim.stepper.step_count
++    sim.save_checkpoint(str(path))
++    with h5py.File(path, 'a') as hf:
++        hf.attrs['distribution_phase'] = PHASE
++        hf.attrs['diagnostic_script_sha256'] = sha(__file__)
++        for name, array in before.items():
++            assert hf[name][:].tobytes() == array.tobytes(), name
++        assert json.loads(hf.attrs['config_json']) == config
++        assert json.loads(hf.attrs['runtime_params_json']) == params
++        assert int(hf.attrs['step_count']) == count
++    with make_sim(.002, nx=48, top_u=0., slot_width=16, top_mode='reservoir') as restored:
++        restored.load_checkpoint(str(path))
++        after = buffers(restored)
++        assert all(before[k].tobytes() == after[k].tobytes() for k in before)
++        assert asdict(restored.lbm_cfg) == config
++        assert restored.field._runtime_params == params
++        assert restored.stepper.step_count == count
++    return dict(path=str(path), sha256=sha(path), step=count, phase=PHASE,
++                no_advance_restore='passed', buffers=['ddf', 'temp', 'flag'])
++
++
++def replay(sim):
++    sim.initialize()
++    rho, old_u, old_v = observables(populations(sim))
++    initial_mass = old_mass = float(rho.sum())
++    history = [dict(step=0, mass=initial_mass)]
++    for _ in range(40):
++        sim.run(519)
++        rho, u, v = observables(populations(sim))
++        mass = float(rho.sum())
++        history.append(dict(step=sim.stepper.step_count, mass=mass,
++                            u_change=float(np.sqrt(np.mean((u-old_u)**2))/SCALE),
++                            v_change=float(np.sqrt(np.mean((v-old_v)**2))/SCALE),
++                            mass_change=abs(mass-old_mass)/initial_mass))
++        old_u, old_v, old_mass = u, v, mass
++    assert sim.stepper.step_count == START
++    return history, (rho, u, v)
++
++
++def record_trajectory(sim, path, reference):
++    """Exactly LENGTH advances. Reuses J3's already validated audit source."""
++    build = compiler.generate_config(sim.lbm_cfg)
++    original_step = sim.stepper.step_fn
++    try:
++        source = Path(build)/'step/one_step_double.cu'
++        code = source.read_text()
++        call, marker = 'collide_dispatch(f, rho_n, ux, uy);', '__global__ __launch_bounds__(NT, 2)'
++        assert code.count(call) == 1 and code.count(marker) == 1
++        source.write_text(code.replace(call, 'j1_collide_audit(f, rho_n, ux, uy);')
++                         .replace(marker, AUDIT+'\n'+marker))
++        audit_hash = sha(source)
++        assert audit_hash == reference['audit_source_sha256'], 'Audit source changed; stop'
++        ptx = compiler.compile_kernel(build_dir=build)
++        with sim.ctx.activate(), h5py.File(path, 'x') as hf:
++            module = compiler.load_module(ptx)
++            params, size = module.get_global('d_params')
++            cuda.memcpy_dtod(params, sim.field.module.get_global('d_params')[0], size)
++            incoming_ptr, _ = module.get_global('j1_incoming')
++            collision_ptr, size = module.get_global('j1_collision')
++            cuda.memset_d8(collision_ptr, 0, size)
++            incoming = np.empty((2, 48), dtype=np.float64)
++            collision = np.empty((35, 48), dtype=np.float64)
++            hf.attrs.update(phase=PHASE, first_step=START, last_step=START+LENGTH,
++                            first_fluid_y=1, velocity_scale=SCALE, rho_scale=1.,
++                            recorded_samples=0, audit_source_sha256=audit_hash)
++            hf.create_dataset('step', data=np.arange(START, START+LENGTH+1))
++            for name in ('rho', 'u', 'v'):
++                hf.create_dataset(name, (LENGTH+1, 33, 48), dtype='f8', chunks=(1, 33, 48),
++                                  compression='gzip')
++            for name in ('mass_flux_by_y', 'volume_flux_by_y'):
++                hf.create_dataset(name, (LENGTH+1, 33), dtype='f8')
++            hf.create_dataset('mass', (LENGTH+1,), dtype='f8')
++            for name in ('incoming', 'outgoing'):
++                hf.create_dataset(name, (LENGTH, 2, 48), dtype='f8', compression='gzip')
++            hf.create_dataset('collision', (LENGTH, 35, 48), dtype='f8', compression='gzip')
++            hf.attrs['boundary_order'] = 'bottom,top; all x including zero-target flanks'
++            bottom, top_guess, slot = targets(.002)
++            hf.create_dataset('bottom_slot_mask', data=slot)
++            hf.create_dataset('bottom_requested_velocity', data=bottom)
++            hf.attrs.update(requested_bottom_volume=float(bottom.sum()), top_initial_guess=float(top_guess))
++
++            def store_frame(n, f):
++                rho, u, v = observables(f)
++                for name, array in zip(('rho', 'u', 'v'), (rho, u, v)):
++                    hf[name][n] = array
++                hf['mass'][n] = rho.sum()
++                hf['mass_flux_by_y'][n] = (rho*v).sum(axis=1)
++                hf['volume_flux_by_y'][n] = v.sum(axis=1)
++                hf.attrs['recorded_samples'] = n+1
++
++            before = populations(sim)
++            store_frame(0, before)
++            sim.stepper.step_fn = module.get_function('OneStep')
++            for n in range(LENGTH):
++                outgoing = np.stack((before[[4,6,7], 1].sum(axis=0), before[[3,5,8], -2].sum(axis=0)))
++                mass = before[:, 1:-1].sum()
++                sim.run(1)
++                after = populations(sim)
++                assert np.isfinite(after).all()
++                cuda.memcpy_dtoh(incoming, incoming_ptr)
++                cuda.memcpy_dtoh(collision, collision_ptr)
++                hf['incoming'][n], hf['outgoing'][n], hf['collision'][n] = incoming, outgoing, collision
++                store_frame(n+1, after)
++                if n < 16:
++                    row = reference['steps'][n]
++                    measured = dict(mass=mass, delta_mass=after[:, 1:-1].sum()-mass,
++                                    bottom_net_in=incoming[0].sum()-outgoing[0].sum(),
++                                    top_net_in=incoming[1].sum()-outgoing[1].sum(),
++                                    collision_roundoff=collision.sum())
++                    assert all(measured[k] == row[k] for k in measured), 'Prior J3 audit not reproduced'
++                before = after
++            assert sim.stepper.step_count == START+LENGTH
++            hf.attrs['first_16_match_j3'] = True
++        return audit_hash
++    finally:
++        sim.stepper.step_fn = original_step
++        compiler.cleanup_build_dir(build)
++
++
++def variation(u, v):
++    """Per-time/per-origin spatial metrics; no assumption of independent samples."""
++    delta = np.stack((u, v), axis=1)
++    return dict(rms=np.sqrt(np.mean(delta**2, axis=(2, 3))),
++                max_abs=np.max(np.abs(delta), axis=(2, 3)),
++                signed_mean=np.mean(delta, axis=(2, 3)),
++                vector_rms=np.sqrt(np.mean(u*u+v*v, axis=(1, 2))),
++                vector_max=np.sqrt(np.max(u*u+v*v, axis=(1, 2))))
++
++
++def summarize(path):
++    summary = dict(lags={})
++    with h5py.File(path, 'a') as hf:
++        assert hf.attrs['recorded_samples'] == LENGTH+1
++        u, v, mass = hf['u'][:], hf['v'][:], hf['mass'][:]
++        for lag in (1, 16, 519):
++            group = hf.create_group(f'lag/{lag}')
++            group.create_dataset('origin_step', data=np.arange(START, START+LENGTH-lag+1))
++            values = variation(u[lag:]-u[:-lag], v[lag:]-v[:-lag])
++            for name, array in values.items(): group.create_dataset(name, data=array)
++            summary['lags'][str(lag)] = dict(origins=LENGTH+1-lag,
++                rms_mean=values['rms'].mean(axis=0).tolist(), rms_min=values['rms'].min(axis=0).tolist(),
++                rms_max=values['rms'].max(axis=0).tolist(), max_abs=values['max_abs'].max(axis=0).tolist(),
++                rms_mean_scaled=(values['rms'].mean(axis=0)/SCALE).tolist(),
++                signed_mean_change=values['signed_mean'].mean(axis=0).tolist(),
++                signed_mean_change_per_step=(values['signed_mean'].mean(axis=0)/lag).tolist(),
++                vector_rms_mean=float(values['vector_rms'].mean()),
++                vector_max=float(values['vector_max'].max()))
++            summary['lags'][str(lag)]['metrics'] = {
++                name: {label: func(array, axis=0).tolist()
++                       for label, func in (('mean', np.mean), ('minimum', np.min), ('maximum', np.max))}
++                for name, array in values.items()}
++            summary['lags'][str(lag)]['metrics_scaled'] = {
++                name: {label: (np.asarray(value)/SCALE).tolist() for label, value in metrics.items()}
++                for name, metrics in summary['lags'][str(lag)]['metrics'].items()}
++        means = hf.create_group('time_mean')
++        for name in ('rho', 'u', 'v'): means.create_dataset(name, data=hf[name][:].mean(axis=0))
++        deviation = variation(u-u.mean(axis=0), v-v.mean(axis=0))
++        group = hf.create_group('deviation')
++        for name, array in deviation.items(): group.create_dataset(name, data=array)
++        summary['time_mean_deviation'] = dict(rms=np.sqrt(np.mean(deviation['rms']**2, axis=0)).tolist(),
++                                             max_abs=deviation['max_abs'].max(axis=0).tolist())
++        end_delta = np.stack((u[-1]-u[0], v[-1]-v[0]))
++        hf.create_dataset('end_minus_start_uv', data=end_delta)
++        hf.create_dataset('mean_drift_per_step_uv', data=end_delta/LENGTH)
++        summary['signed_end_change'] = dict(mean=end_delta.mean(axis=(1, 2)).tolist(),
++                                           minimum=end_delta.min(axis=(1, 2)).tolist(),
++                                           maximum=end_delta.max(axis=(1, 2)).tolist(),
++                                           mean_per_step=(end_delta.mean(axis=(1, 2))/LENGTH).tolist())
++        incoming, outgoing, collision = hf['incoming'][:], hf['outgoing'][:], hf['collision'][:]
++        slot = hf['bottom_slot_mask'][:]
++        groups = hf.create_group('budget')
++        net = incoming.sum(axis=(1, 2))-outgoing.sum(axis=(1, 2))
++        roundoff, delta = collision.sum(axis=(1, 2)), np.diff(mass)
++        residual = delta-net-roundoff
++        for name, array in dict(delta_mass=delta, net_boundary=net, collision_roundoff=roundoff,
++                                physical_residual=delta-net, residual=residual).items():
++            groups.create_dataset(name, data=array)
++        summary['budget'] = dict(mean_delta_mass=float(delta.mean()), net_boundary=float(net.mean()),
++            collision_roundoff=float(roundoff.mean()), max_residual=float(np.abs(residual).max()),
++            max_relative_residual=float(np.max(np.abs(residual)/mass[:-1])),
++            max_physical_relative_residual=float(np.max(np.abs(delta-net)/mass[:-1])),
++            groups={name:dict(incoming=float(i.mean()), outgoing=float(o.mean()), net=float((i-o).mean()))
++                    for name, i, o in (
++                        ('slot', incoming[:, 0, slot].sum(axis=1), outgoing[:, 0, slot].sum(axis=1)),
++                        ('flanks', incoming[:, 0, ~slot].sum(axis=1), outgoing[:, 0, ~slot].sum(axis=1)),
++                        ('top', incoming[:, 1].sum(axis=1), outgoing[:, 1].sum(axis=1)))})
++        summary['mass'] = dict(start=float(mass[0]), end=float(mass[-1]), delta=float(mass[-1]-mass[0]),
++                               relative_span=float(np.ptp(mass)/mass[0]),
++                               relative_delta=float((mass[-1]-mass[0])/mass[0]))
++    return summary
++
++
++def main():
++    parser = argparse.ArgumentParser(description=__doc__)
++    parser.add_argument('--output-dir', type=Path, required=True)
++    args = parser.parse_args()
++    assert Path.cwd() == ROOT == Path('/home/frank14f/CelerisLab')
++    assert sys.executable == '/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
++    assert Path(CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
++    assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == ROOT/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
++    assert os.environ.get('CUDA_VISIBLE_DEVICES') in ('0', '1')
++    out = args.output_dir.resolve()
++    assert out == ROOT/'research/j3-lag-2026-10-12'
++    baseline = json.loads((out/'baseline.json').read_text())
++    assert all(sha(ROOT/name) == digest for name, digest in baseline['hashes'].items())
++    for name in ('results.json', 'trajectory.h5', 'start-20760.h5', 'end-21280.h5'):
++        assert not (out/name).exists(), f'Refusing to overwrite {name}'
++    original = json.loads((ROOT/'research/j3-reservoir-2026-10-12/results.json').read_text())['cases'][0]
++    report = dict(python=sys.executable, package=CelerisLab.__file__,
++                  cuda_source=compiler.kernel_path('kernel_v2.cu'), physical_gpu=os.environ['CUDA_VISIBLE_DEVICES'],
++                  script_sha256=sha(__file__), phase=PHASE, velocity_scale=SCALE,
++                  replay_steps=START, planned_diagnostic_steps=LENGTH, diagnostic_steps=0,
++                  j3_acceptance='failed_unchanged')
++    def save_report(): (out/'results.json').write_text(json.dumps(report, indent=2)+'\n')
++    with make_sim(.002, nx=48, top_u=0., slot_width=16, top_mode='reservoir') as sim:
++        history, fields = replay(sim)
++        report['start_checkpoint'] = save_verified(sim, out/'start-20760.h5')
++        report['replay_history'] = history
++        report['replay_matches_j3'] = bool(history == original['history'] and all(
++            np.array_equal(array, original[name]) for array, name in zip(fields, ('rho', 'u', 'v'))))
++        save_report()
++        assert report['replay_matches_j3'], 'Replay differs from J3; saved real checkpoint, stopping'
++        print('20760 replay and no-advance checkpoint restore passed; matches J3.', flush=True)
++        try:
++            report['audit_source_sha256'] = record_trajectory(sim, out/'trajectory.h5', original['population_budget'])
++        finally:
++            report['diagnostic_steps'] = sim.stepper.step_count-START
++            save_report()
++        report['end_checkpoint'] = save_verified(sim, out/'end-21280.h5')
++    report.update(summarize(out/'trajectory.h5'))
++    report['trajectory_sha256'] = sha(out/'trajectory.h5')
++    save_report()
++    print(json.dumps({k:report[k] for k in ('lags','signed_end_change','mass','budget')}), flush=True)
++
++
++if __name__ == '__main__':
++    main()
diff --git a/research/j3-lag-2026-10-12/results.json b/research/j3-lag-2026-10-12/results.json
new file mode 100644
index 0000000..2bf5893
--- /dev/null
+++ b/research/j3-lag-2026-10-12/results.json
@@ -0,0 +1,811 @@
+{
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
+  "cuda_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
+  "physical_gpu": "0",
+  "script_sha256": "286fcd65b3261667a847b9b26e213d0af92cf459faa6bbd774f78c8479ce31d7",
+  "phase": "postcollision g(t); D2Q9 paired ordering; unshifted FP32 double_buffer; q,y,x",
+  "velocity_scale": 0.002,
+  "replay_steps": 20760,
+  "planned_diagnostic_steps": 520,
+  "diagnostic_steps": 520,
+  "j3_acceptance": "failed_unchanged",
+  "start_checkpoint": {
+    "path": "/home/frank14f/CelerisLab/research/j3-lag-2026-10-12/start-20760.h5",
+    "sha256": "6c4cba5928c77566c2afc32231311a3986831c18fea766faadebb101243399e2",
+    "step": 20760,
+    "phase": "postcollision g(t); D2Q9 paired ordering; unshifted FP32 double_buffer; q,y,x",
+    "no_advance_restore": "passed",
+    "buffers": [
+      "ddf",
+      "temp",
+      "flag"
+    ]
+  },
+  "replay_history": [
+    {
+      "step": 0,
+      "mass": 1584.0000070855021
+    },
+    {
+      "step": 519,
+      "mass": 1583.9996469337493,
+      "u_change": 0.06561534459555829,
+      "v_change": 0.07563101850446771,
+      "mass_change": 2.2736852980967897e-07
+    },
+    {
+      "step": 1038,
+      "mass": 1583.9992240704596,
+      "u_change": 0.004091811464502968,
+      "v_change": 0.007100371573204822,
+      "mass_change": 2.6695914635247474e-07
+    },
+    {
+      "step": 1557,
+      "mass": 1583.9999501202255,
+      "u_change": 0.0012989347029755969,
+      "v_change": 0.001350033141922646,
+      "mass_change": 4.5836474917723265e-07
+    },
+    {
+      "step": 2076,
+      "mass": 1584.0001382622868,
+      "u_change": 0.00018204402469040087,
+      "v_change": 0.0005895349237683154,
+      "mass_change": 1.1877655327773294e-07
+    },
+    {
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+            2.663732363573536e-05,
+            6.61678421824938e-05
+          ],
+          "minimum": [
+            2.631254847653036e-05,
+            6.596162402701275e-05
+          ],
+          "maximum": [
+            2.6962098794940355e-05,
+            6.637406033797485e-05
+          ]
+        },
+        "max_abs": {
+          "mean": [
+            0.00010710577410929031,
+            0.0002924672692490945
+          ],
+          "minimum": [
+            0.00010244450501166962,
+            0.00029246632741894386
+          ],
+          "maximum": [
+            0.000111767043206911,
+            0.00029246821107924517
+          ]
+        },
+        "signed_mean": {
+          "mean": [
+            4.2365565793278105e-07,
+            -2.7526716990508278e-06
+          ],
+          "minimum": [
+            3.8876104137043325e-07,
+            -3.905446776610783e-06
+          ],
+          "maximum": [
+            4.5855027449512885e-07,
+            -1.5998966214908728e-06
+          ]
+        },
+        "vector_rms": {
+          "mean": 7.132868038944822e-05,
+          "minimum": 7.10160971302334e-05,
+          "maximum": 7.164126364866306e-05
+        },
+        "vector_max": {
+          "mean": 0.00029247023490032523,
+          "minimum": 0.00029246821107924517,
+          "maximum": 0.00029247225872140525
+        }
+      }
+    }
+  },
+  "time_mean_deviation": {
+    "rms": [
+      3.3645527747009295e-08,
+      7.375265969331026e-08
+    ],
+    "max_abs": [
+      1.795506866009199e-07,
+      4.993013225343033e-07
+    ]
+  },
+  "signed_end_change": {
+    "mean": [
+      8.125987639708831e-10,
+      -3.907655138166418e-09
+    ],
+    "minimum": [
+      -1.620077327329681e-07,
+      -2.551944334978971e-07
+    ],
+    "maximum": [
+      1.3411614495364922e-07,
+      2.570943159573144e-07
+    ],
+    "mean_per_step": [
+      1.5626899307132368e-12,
+      -7.514721419550803e-12
+    ]
+  },
+  "budget": {
+    "mean_delta_mass": -4.7218054533004763e-08,
+    "net_boundary": -1.165418025965874e-05,
+    "collision_roundoff": 1.1606962205125735e-05,
+    "max_residual": 0.0,
+    "max_relative_residual": 0.0,
+    "max_physical_relative_residual": 1.159567383649822e-08,
+    "groups": {
+      "slot": {
+        "incoming": 2.6753550727780047,
+        "outgoing": 2.6582927153624882,
+        "net": 0.017062357415516788
+      },
+      "flanks": {
+        "incoming": 5.3331830494284915,
+        "outgoing": 5.3331760228038405,
+        "net": 7.02662465090935e-06
+      },
+      "top": {
+        "incoming": 7.9914626677556395,
+        "outgoing": 8.008543705976066,
+        "net": -0.017081038220427357
+      }
+    }
+  },
+  "mass": {
+    "start": 1583.999700639397,
+    "end": 1583.9996760860085,
+    "delta": -2.4553388357162476e-05,
+    "relative_span": 6.433182454705871e-08,
+    "relative_delta": -1.550087941762316e-08
+  },
+  "trajectory_sha256": "2b51f8ec5e0cc8ca72c73ac1b51dd611158368e6d6de791d85150fa111ea1986"
+}
diff --git a/research/j3-lag-2026-10-12/start-20760.h5 b/research/j3-lag-2026-10-12/start-20760.h5
new file mode 100644
index 0000000..ae0abd0
Binary files /dev/null and b/research/j3-lag-2026-10-12/start-20760.h5 differ
diff --git a/research/j3-offline-2026-10-12/REVIEW.md b/research/j3-offline-2026-10-12/REVIEW.md
new file mode 100644
index 0000000..a76e1b4
--- /dev/null
+++ b/research/j3-offline-2026-10-12/REVIEW.md
@@ -0,0 +1,68 @@
+# J3 已存轨迹的 CPU 空间/奇偶分析
+
+2026-10-12。运行前固定定义；只读输入为`research/j3-lag-2026-10-12/trajectory.h5`，SHA256 `2b51f8ec5e0cc8ca72c73ac1b51dd611158368e6d6de791d85150fa111ea1986`。已有numpy 1.26.4、h5py 3.15.1，matplotlib可发现；不安装依赖、不导入CelerisLab/run_j1/pycuda、不初始化CUDA、不增加求解轨迹。只新增独立脚本、本目录小输出和一张图，原数据/checkpoint/报告/生产文件只读。
+
+## 固定统计定义
+
+输入521帧，绝对step=20760..21280；每帧1584节点，x=0..47、y=1..33。u/v各约6.30MiB，逐组件统计，CPU峰值内存控制远低于1GiB。不复制轨迹或写逐步全场；速度尺度固定.002。
+
+1. lag2/4/8合法起点为n=0..520−L，分别519/517/513个。逐起点计算完整空间分量RMS，再对起点取算术均值；最大绝对差取所有起点/节点最大值；同时记录带符号空间均值的起点均值和/.002归一结果。沿用原lag1/16/519定义，仅诊断，不改验收。
+2. 偶/奇按绝对step分组，ne=261、no=260。每节点delta=mean_even−mean_odd。报告每区delta空间RMS、最大绝对值、带符号空间均值。总方差var=mean_t((a−mean_all)^2)，分母521；奇偶组间解释方差B=(ne/521)*(no/521)*delta²，等价于按实际帧数加权的两组均值偏差平方。区内解释比例为sum(B)/sum(var)，不用不平衡的简单半半权重，不假设独立随机样本。
+3. 固定区域：bottom y=1（48点）、top y=33（48点）、interior y=2..32（1488点），三者构成不交叠全域；另列top4 y=30..33（192点），作为重叠补充而非第四个分区。每区分量RMS=sqrt(mean_region(var))；波动能量份额=sum_region(var)/sum_all(var)；集中度=份额/节点比例；另报区域奇偶解释比例。
+4. 比较delta的空间有符号均值与RMS，均匀空间分量占delta能量比例为mean(delta)²/mean(delta²)。同时给内部和边界数值；不能将空间平均抵消解释成没有局部波动。
+5. 一张4panel图：u/v每节点时间波动RMS和u/v奇偶delta，坐标为上述格点位置，标出物理top/bottom、底slot及top4范围，颜色单位明确。仅输出小JSON/CSV/报告/原始CPU日志和图，不写新的全场序列。
+
+分析前已核对输入SHA、形状及step范围。原J3归一5e−5稳态门槛失败保持，不能选择偶数lag改判；本轮只量化空间集中度/奇偶结构并给下一轮最小功能建议，不继续推导或追加诊断。
+
+## 完成结果
+
+CPU 分析退出码 0，新增求解步数 0；峰值 RSS 112.63 MiB。脚本末尾检查输入 SHA 未变，且未导入 CelerisLab、run_j1 或 pycuda。本次仅增加独立分析脚本和本目录输出，没有修改生产代码或旧报告。绘图缓存分析后删除。
+
+| lag | 合法起点数 | u 平均空间 RMS 差 | v 平均空间 RMS 差 |
+| --- | ---: | ---: | ---: |
+| 2 | 519 | 2.649281e-8 | 3.051287e-8 |
+| 4 | 517 | 3.455162e-8 | 3.931383e-8 |
+| 8 | 513 | 4.079962e-8 | 4.646402e-8 |
+
+下面能量指时间波动方差之和，不是流动总动能；集中度以均匀分布为 1。
+
+| 分量/区域 | 节点比例 | 时间波动 RMS | 波动能量份额 | 集中度 | 区内奇偶解释比例 |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| u 全域 | 100% | 3.364553e-8 | 100% | 1.000 | 18.9417% |
+| u 底行 | 3.0303% | 3.283614e-9 | 0.0289% | 0.010 | 0.1648% |
+| u 顶行 | 3.0303% | 3.297410e-9 | 0.0291% | 0.010 | 2.0618% |
+| u 内部 | 93.9394% | 3.470384e-8 | 99.9420% | 1.064 | 18.9520% |
+| u 顶部四行 | 12.1212% | 2.603805e-8 | 7.2595% | 0.599 | 7.8382% |
+| v 全域 | 100% | 7.375266e-8 | 100% | 1.000 | 75.6536% |
+| v 底行 | 3.0303% | 5.133726e-9 | 0.0147% | 0.005 | 0.1861% |
+| v 顶行 | 3.0303% | 1.365301e-7 | 10.3845% | 3.427 | 59.0306% |
+| v 内部 | 93.9394% | 7.202938e-8 | 89.6008% | 0.954 | 77.5926% |
+| v 顶部四行 | 12.1212% | 1.146411e-7 | 29.2867% | 2.416 | 73.8537% |
+
+顶部四行与内部、顶行重叠，不能与其他行相加。完整精度、带符号均值、最大差和归一值保留在 results.json、lags.csv、regions.csv。
+
+v 的奇偶差空间均值为 2.494708e-9，空间 RMS 为 1.282990e-7；均匀空间分量仅占奇偶差能量的 0.03781%。u 对应比例为 0.00004371%。图中可见延伸到内部的交替空间结构，v 顶部较集中，但内部仍贡献大部分波动能量。这些结果说明奇偶步关联明显，不能据此认定随机噪声、FP32 平台或唯一成因。
+
+![时间波动和奇偶差定位](localization.png)
+
+## 实际建议与停止点
+
+全域 v 时间波动 RMS 为喷口幅值 0.002 的 0.00369%。在当前小网格、正幅值案例和这段短窗口内，量级较小，初步判断可用于 Jet 形态演示；这不构成长时间载荷、精度、AMR 或稳态验收证据。原归一 5e-5 稳态门槛仍失败，不以偶数 lag 更小为由改判。
+
+建议下一轮依次补以下最小验证，本轮均未执行：
+
+1. 真实 checkpoint 短续跑一致性：从现有保存点比较连续运行与保存/加载后续跑 8–16 步的状态；不重放前 20760 步。已有无推进恢复检查不足以替代此项。
+2. 零幅值对照：按原有有界判据检查静止态、伪速度和质量，确认无喷流驱动时的行为。
+3. 负幅值：同案例、原判据验证反向流动及边界行为。
+
+本轮至此停止，不追加轨迹、频谱诊断或理论推导。
+
+## 可复核运行记录
+
+工作目录 /home/frank14f/CelerisLab；实际命令如下，仅设置当前进程环境：
+
+```bash
+env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 MPLCONFIGDIR=/home/frank14f/CelerisLab/research/j3-offline-2026-10-12/.plot-cache /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/analyze_j3_saved_frames.py > research/j3-offline-2026-10-12/cpu-analysis.log 2>&1
+```
+
+脚本为 tests/validation/analyze_j3_saved_frames.py；为了保护已存结果，发现 results.json 存在时会拒绝重跑。原始日志保留在 cpu-analysis.log。输入 SHA256 为本文开头值，脚本 SHA256 为 `438f67dac682b94c4950626f8de4fdcde48c3a4e9ecf8fdf1b0ada4b6e0e781a`，图 SHA256 为 `a72907638e32b0ecfc2205bea438e7b408f40aad86217ce6ad9b4877840c9cfc`。
diff --git a/research/j3-offline-2026-10-12/lags.csv b/research/j3-offline-2026-10-12/lags.csv
new file mode 100644
index 0000000..dd3136d
--- /dev/null
+++ b/research/j3-offline-2026-10-12/lags.csv
@@ -0,0 +1,7 @@
+lag,component,origins,rms_mean,rms_min,rms_max,max_abs,signed_mean,rms_mean_scaled,max_abs_scaled
+2,u,519,2.6492813766059202e-08,2.461473146352545e-08,2.849795388522512e-08,1.5646287510131553e-07,3.2651688472661407e-12,1.3246406883029602e-05,7.823143755065776e-05
+2,v,519,3.051287081372935e-08,2.6733954889534246e-08,3.4557659268310575e-08,3.5202851902612926e-07,-2.1215196139120067e-11,1.5256435406864672e-05,0.00017601425951306463
+4,u,517,3.455162307490817e-08,3.1139903958591546e-08,3.8731579489526506e-08,1.862494269723366e-07,4.2339688862416314e-12,1.7275811537454086e-05,9.31247134861683e-05
+4,v,517,3.931382797274759e-08,3.518804854267616e-08,4.3704653032862594e-08,3.856267414668207e-07,-4.5696832926109425e-11,1.9656913986373794e-05,0.00019281337073341035
+8,u,513,4.0799615492729046e-08,3.58750914226038e-08,4.645758928474569e-08,2.0675658076344802e-07,-6.173440695051871e-13,2.039980774636452e-05,0.00010337829038172401
+8,v,513,4.6464023529891876e-08,4.016596966119118e-08,5.2970822734053424e-08,4.918158945044432e-07,-1.0991623042421445e-10,2.3232011764945938e-05,0.0002459079472522216
diff --git a/research/j3-offline-2026-10-12/localization.png b/research/j3-offline-2026-10-12/localization.png
new file mode 100644
index 0000000..74b56f3
Binary files /dev/null and b/research/j3-offline-2026-10-12/localization.png differ
diff --git a/research/j3-offline-2026-10-12/regions.csv b/research/j3-offline-2026-10-12/regions.csv
new file mode 100644
index 0000000..5d361e6
--- /dev/null
+++ b/research/j3-offline-2026-10-12/regions.csv
@@ -0,0 +1,11 @@
+component,region,nodes,node_fraction,rms,energy_fraction,parity_explained,parity_delta_rms,parity_delta_max_abs,parity_delta_signed_mean,parity_uniform_fraction,concentration
+u,all,1584,1.0,3.3645527747009295e-08,1.0,0.18941666843569935,2.928648412875517e-08,1.1364717707667638e-07,1.9361569921058942e-11,4.370656374404785e-07,1.0
+u,bottom,48,0.030303030303030304,3.2836139139761437e-09,0.0002886260627445179,0.0016480981248000494,2.666087603426525e-10,6.239022467490977e-10,4.799999647026949e-11,0.032414071054183105,0.009524660070569091
+u,top,48,0.030303030303030304,3.297410394391444e-09,0.00029105654902664954,0.02061832468099129,9.469574942246273e-10,4.0992742945658574e-09,6.302827376952781e-11,0.004430062513537537,0.009604866117879435
+u,interior,1488,0.9393939393939394,3.470384179612395e-08,0.9994203173882289,0.1895200531325811,3.021592788038922e-08,1.1364717707667638e-07,1.702914635984348e-11,3.176244205344496e-07,1.063899047542308
+u,top4,192,0.12121212121212122,2.6038049997535274e-08,0.07259526166671483,0.07838237637537482,1.4579695888283803e-08,5.303218823276258e-08,1.5730564306331736e-10,0.00011641037125501579,0.5989109087503973
+v,all,1584,1.0,7.375265969331029e-08,1.0,0.7565362482274425,1.2829902409872445e-07,4.3636847679365395e-07,2.494707772114959e-09,0.00037808779156073426,1.0
+v,bottom,48,0.030303030303030304,5.133726212434883e-09,0.0001468236762463292,0.0018614171322371767,4.429812584321041e-10,1.7038371124145774e-09,5.0775072192602695e-11,0.013138034379758643,0.004845181316128863
+v,top,48,0.030303030303030304,1.3653007708562323e-07,0.10384542253646012,0.5903064517918953,2.0979633448367352e-07,4.3636847679365395e-07,1.6728744722203665e-07,0.6358152143065777,3.426898943703184
+v,interior,1488,0.9393939393939394,7.202938282547825e-08,0.8960077537872935,0.7759255978269721,1.26896758658549e-07,4.062152502893766e-07,-2.7423505101430838e-09,0.0004670300956762181,0.9538147056445382
+v,top4,192,0.12121212121212122,1.1464105051433141e-07,0.2928673734979531,0.7385371810756743,1.9704124137161008e-07,4.3636847679365395e-07,9.974706602856202e-10,2.562630498444098e-05,2.4161558313581133
diff --git a/research/j3-offline-2026-10-12/results.json b/research/j3-offline-2026-10-12/results.json
new file mode 100644
index 0000000..bf77b0f
--- /dev/null
+++ b/research/j3-offline-2026-10-12/results.json
@@ -0,0 +1,253 @@
+{
+  "input": "/home/frank14f/CelerisLab/research/j3-lag-2026-10-12/trajectory.h5",
+  "input_sha256": "2b51f8ec5e0cc8ca72c73ac1b51dd611158368e6d6de791d85150fa111ea1986",
+  "script_sha256": "438f67dac682b94c4950626f8de4fdcde48c3a4e9ecf8fdf1b0ada4b6e0e781a",
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "velocity_scale": 0.002,
+  "even_frames": 261,
+  "odd_frames": 260,
+  "lags": {
+    "2": {
+      "u": {
+        "origins": 519,
+        "rms_mean": 2.6492813766059202e-08,
+        "rms_min": 2.461473146352545e-08,
+        "rms_max": 2.849795388522512e-08,
+        "max_abs": 1.5646287510131553e-07,
+        "signed_mean": 3.2651688472661407e-12,
+        "rms_mean_scaled": 1.3246406883029602e-05,
+        "max_abs_scaled": 7.823143755065776e-05
+      },
+      "v": {
+        "origins": 519,
+        "rms_mean": 3.051287081372935e-08,
+        "rms_min": 2.6733954889534246e-08,
+        "rms_max": 3.4557659268310575e-08,
+        "max_abs": 3.5202851902612926e-07,
+        "signed_mean": -2.1215196139120067e-11,
+        "rms_mean_scaled": 1.5256435406864672e-05,
+        "max_abs_scaled": 0.00017601425951306463
+      }
+    },
+    "4": {
+      "u": {
+        "origins": 517,
+        "rms_mean": 3.455162307490817e-08,
+        "rms_min": 3.1139903958591546e-08,
+        "rms_max": 3.8731579489526506e-08,
+        "max_abs": 1.862494269723366e-07,
+        "signed_mean": 4.2339688862416314e-12,
+        "rms_mean_scaled": 1.7275811537454086e-05,
+        "max_abs_scaled": 9.31247134861683e-05
+      },
+      "v": {
+        "origins": 517,
+        "rms_mean": 3.931382797274759e-08,
+        "rms_min": 3.518804854267616e-08,
+        "rms_max": 4.3704653032862594e-08,
+        "max_abs": 3.856267414668207e-07,
+        "signed_mean": -4.5696832926109425e-11,
+        "rms_mean_scaled": 1.9656913986373794e-05,
+        "max_abs_scaled": 0.00019281337073341035
+      }
+    },
+    "8": {
+      "u": {
+        "origins": 513,
+        "rms_mean": 4.0799615492729046e-08,
+        "rms_min": 3.58750914226038e-08,
+        "rms_max": 4.645758928474569e-08,
+        "max_abs": 2.0675658076344802e-07,
+        "signed_mean": -6.173440695051871e-13,
+        "rms_mean_scaled": 2.039980774636452e-05,
+        "max_abs_scaled": 0.00010337829038172401
+      },
+      "v": {
+        "origins": 513,
+        "rms_mean": 4.6464023529891876e-08,
+        "rms_min": 4.016596966119118e-08,
+        "rms_max": 5.2970822734053424e-08,
+        "max_abs": 4.918158945044432e-07,
+        "signed_mean": -1.0991623042421445e-10,
+        "rms_mean_scaled": 2.3232011764945938e-05,
+        "max_abs_scaled": 0.0002459079472522216
+      }
+    }
+  },
+  "regions": [
+    {
+      "component": "u",
+      "region": "all",
+      "nodes": 1584,
+      "node_fraction": 1.0,
+      "rms": 3.3645527747009295e-08,
+      "energy_fraction": 1.0,
+      "parity_explained": 0.18941666843569935,
+      "parity_delta_rms": 2.928648412875517e-08,
+      "parity_delta_max_abs": 1.1364717707667638e-07,
+      "parity_delta_signed_mean": 1.9361569921058942e-11,
+      "parity_uniform_fraction": 4.370656374404785e-07,
+      "concentration": 1.0
+    },
+    {
+      "component": "u",
+      "region": "bottom",
+      "nodes": 48,
+      "node_fraction": 0.030303030303030304,
+      "rms": 3.2836139139761437e-09,
+      "energy_fraction": 0.0002886260627445179,
+      "parity_explained": 0.0016480981248000494,
+      "parity_delta_rms": 2.666087603426525e-10,
+      "parity_delta_max_abs": 6.239022467490977e-10,
+      "parity_delta_signed_mean": 4.799999647026949e-11,
+      "parity_uniform_fraction": 0.032414071054183105,
+      "concentration": 0.009524660070569091
+    },
+    {
+      "component": "u",
+      "region": "top",
+      "nodes": 48,
+      "node_fraction": 0.030303030303030304,
+      "rms": 3.297410394391444e-09,
+      "energy_fraction": 0.00029105654902664954,
+      "parity_explained": 0.02061832468099129,
+      "parity_delta_rms": 9.469574942246273e-10,
+      "parity_delta_max_abs": 4.0992742945658574e-09,
+      "parity_delta_signed_mean": 6.302827376952781e-11,
+      "parity_uniform_fraction": 0.004430062513537537,
+      "concentration": 0.009604866117879435
+    },
+    {
+      "component": "u",
+      "region": "interior",
+      "nodes": 1488,
+      "node_fraction": 0.9393939393939394,
+      "rms": 3.470384179612395e-08,
+      "energy_fraction": 0.9994203173882289,
+      "parity_explained": 0.1895200531325811,
+      "parity_delta_rms": 3.021592788038922e-08,
+      "parity_delta_max_abs": 1.1364717707667638e-07,
+      "parity_delta_signed_mean": 1.702914635984348e-11,
+      "parity_uniform_fraction": 3.176244205344496e-07,
+      "concentration": 1.063899047542308
+    },
+    {
+      "component": "u",
+      "region": "top4",
+      "nodes": 192,
+      "node_fraction": 0.12121212121212122,
+      "rms": 2.6038049997535274e-08,
+      "energy_fraction": 0.07259526166671483,
+      "parity_explained": 0.07838237637537482,
+      "parity_delta_rms": 1.4579695888283803e-08,
+      "parity_delta_max_abs": 5.303218823276258e-08,
+      "parity_delta_signed_mean": 1.5730564306331736e-10,
+      "parity_uniform_fraction": 0.00011641037125501579,
+      "concentration": 0.5989109087503973
+    },
+    {
+      "component": "v",
+      "region": "all",
+      "nodes": 1584,
+      "node_fraction": 1.0,
+      "rms": 7.375265969331029e-08,
+      "energy_fraction": 1.0,
+      "parity_explained": 0.7565362482274425,
+      "parity_delta_rms": 1.2829902409872445e-07,
+      "parity_delta_max_abs": 4.3636847679365395e-07,
+      "parity_delta_signed_mean": 2.494707772114959e-09,
+      "parity_uniform_fraction": 0.00037808779156073426,
+      "concentration": 1.0
+    },
+    {
+      "component": "v",
+      "region": "bottom",
+      "nodes": 48,
+      "node_fraction": 0.030303030303030304,
+      "rms": 5.133726212434883e-09,
+      "energy_fraction": 0.0001468236762463292,
+      "parity_explained": 0.0018614171322371767,
+      "parity_delta_rms": 4.429812584321041e-10,
+      "parity_delta_max_abs": 1.7038371124145774e-09,
+      "parity_delta_signed_mean": 5.0775072192602695e-11,
+      "parity_uniform_fraction": 0.013138034379758643,
+      "concentration": 0.004845181316128863
+    },
+    {
+      "component": "v",
+      "region": "top",
+      "nodes": 48,
+      "node_fraction": 0.030303030303030304,
+      "rms": 1.3653007708562323e-07,
+      "energy_fraction": 0.10384542253646012,
+      "parity_explained": 0.5903064517918953,
+      "parity_delta_rms": 2.0979633448367352e-07,
+      "parity_delta_max_abs": 4.3636847679365395e-07,
+      "parity_delta_signed_mean": 1.6728744722203665e-07,
+      "parity_uniform_fraction": 0.6358152143065777,
+      "concentration": 3.426898943703184
+    },
+    {
+      "component": "v",
+      "region": "interior",
+      "nodes": 1488,
+      "node_fraction": 0.9393939393939394,
+      "rms": 7.202938282547825e-08,
+      "energy_fraction": 0.8960077537872935,
+      "parity_explained": 0.7759255978269721,
+      "parity_delta_rms": 1.26896758658549e-07,
+      "parity_delta_max_abs": 4.062152502893766e-07,
+      "parity_delta_signed_mean": -2.7423505101430838e-09,
+      "parity_uniform_fraction": 0.0004670300956762181,
+      "concentration": 0.9538147056445382
+    },
+    {
+      "component": "v",
+      "region": "top4",
+      "nodes": 192,
+      "node_fraction": 0.12121212121212122,
+      "rms": 1.1464105051433141e-07,
+      "energy_fraction": 0.2928673734979531,
+      "parity_explained": 0.7385371810756743,
+      "parity_delta_rms": 1.9704124137161008e-07,
+      "parity_delta_max_abs": 4.3636847679365395e-07,
+      "parity_delta_signed_mean": 9.974706602856202e-10,
+      "parity_uniform_fraction": 2.562630498444098e-05,
+      "concentration": 2.4161558313581133
+    }
+  ],
+  "parity": {
+    "u": {
+      "component": "u",
+      "region": "all",
+      "nodes": 1584,
+      "node_fraction": 1.0,
+      "rms": 3.3645527747009295e-08,
+      "energy_fraction": 1.0,
+      "parity_explained": 0.18941666843569935,
+      "parity_delta_rms": 2.928648412875517e-08,
+      "parity_delta_max_abs": 1.1364717707667638e-07,
+      "parity_delta_signed_mean": 1.9361569921058942e-11,
+      "parity_uniform_fraction": 4.370656374404785e-07,
+      "concentration": 1.0
+    },
+    "v": {
+      "component": "v",
+      "region": "all",
+      "nodes": 1584,
+      "node_fraction": 1.0,
+      "rms": 7.375265969331029e-08,
+      "energy_fraction": 1.0,
+      "parity_explained": 0.7565362482274425,
+      "parity_delta_rms": 1.2829902409872445e-07,
+      "parity_delta_max_abs": 4.3636847679365395e-07,
+      "parity_delta_signed_mean": 2.494707772114959e-09,
+      "parity_uniform_fraction": 0.00037808779156073426,
+      "concentration": 1.0
+    }
+  },
+  "solver_steps": 0,
+  "j3_acceptance": "failed_unchanged",
+  "peak_rss_mib": 112.62890625,
+  "figure_sha256": "a72907638e32b0ecfc2205bea438e7b408f40aad86217ce6ad9b4877840c9cfc"
+}
diff --git a/research/j3-reservoir-2026-10-12/REVIEW.md b/research/j3-reservoir-2026-10-12/REVIEW.md
new file mode 100644
index 0000000..a74b67a
--- /dev/null
+++ b/research/j3-reservoir-2026-10-12/REVIEW.md
@@ -0,0 +1,126 @@
+# J3 顶部压力库：实现前物理契约与冻结门槛
+
+2026-10-12。本次是已授权试验的单次恢复。重新读取仓库，HEAD与当前216个文件哈希记录在baseline.json，不沿用历史核对代替现状。root唯一代码写入与测试者。`.agents`为空且无`.agents/skills`；使用现有`.github/skills/lbm-ref-architecture-guard/SKILL.md`。保留J1、J2原始结果/失败和所有旧修改；不提交推送、改环境、访问其他项目或安装依赖。
+
+## 参考、推导、范围
+
+已读取主源[Zou–He §3与§3.1](https://arxiv.org/html/comp-gas/9611001)，并搜索核对本地`ref/OpenLB/src/boundary/zouHeDynamics.hh:67–118`的未知分布重建/切向矩修正，及本库`core/descriptors.cuh:24–25`方向表。参考要点：给定密度及沿边界速度可解法向速度；non-equilibrium法向反射补闭合；边界到达态重建后仍碰撞；方向必须按本库重新编号。仅普通D2Q9：sum(f)=rho、sum(c*f)=rho*u，不采用§3.3 d2q9i的动量定义。论文双精度测试不覆盖本FP32案例。
+
+顶部在y=NY−2，未知{4,6,7}，已知{0,1,2,3,5,8}。令P=f3+f5+f8、Z=f0+f1+f2、S=Z+2P。已知rho=rho0与切向u=0，由质量与y动量得J_y=S−rho0、v=J_y/rho0。正v沿+y流出，负v流入。闭合为：
+
+```
+f4 = f3 − (2/3)*J_y
+f6 = f5 + (f1−f2)/2 − J_y/6
+f7 = f8 + (f2−f1)/2 − J_y/6
+```
+
+独立代回：sum(f)=Z+2P−J_y=rho0；sum(cx*f)=0；sum(cy*f)=J_y。实现直接用J_y避免不必要的v除法再乘rho；不以旧velocity helper重算指定密度。helper只改三个未知方向，无碰撞/存储/全局质量反馈。
+
+新增唯一opt-in配置`method.top_wall_bc="reservoir"`，默认`"velocity"`保持J1/J2。仅允许现有on_site_velocity受限组合且physics.velocity=0；固定顶rho使用已有physics.rho，不新增重复密度参数。顶模式、固定rho（仅reservoir）和现有固定切向速度纳入状态签名与checkpoint匹配；旧checkpoint缺top_wall_bc按velocity。checkpoint v3结构不变。
+
+底部quartic slot/零速flanks、幅值/归一与y物理面不变。仍是pull g(t)→arrival f(t+dt)→重建未知→SRT→g(t+dt)。仅step顶部选择新helper，无新增生产launch。修改边界限定config、compiler临时宏、planar helper、已有one_step_double、checkpoint、CONFIG及针对性测试/验证器。旧helper公式和初始化数值路径不改。
+
+初始化沿J2：rho=rho0、u=0，v由底profile线性插值到顶的均匀Q/NX。这个顶v只是初始猜测；从第一步起由已知populations和rho0局部求v，可随x变化，不同时强制Q/NX。
+
+## 冻结验收（任何本包测试运行前）
+
+- D2Q9/SRT/FP32/unshifted/double-buffer、无物体/力/LES、单GPU单层；NX48/NY35/H32/W16、nu=.1、U=0、rho0=1、先A=+.002。Q=.01706689453125，仅为底部请求体积；top初始猜测.000355560302734375，不作后续目标。
+- 采样519步，至少8间隔，最多40间隔=20760步。沿J2完整u/v场各RMS变化/固定速度尺度max(|A|,.002)≤5e−5，连续末4间隔。每间隔相对初始质量变化≤2e−6；末4间隔质量跨度≤6e−6；初末相对质量偏移≤1e−3。门槛、步数不放宽。
+- 实际新CUDA helper CPUshim：rho0=1/1.04，顶部法向v=0/±.001/±.01，平衡及扰动已知输入；三个未知输入毒化。已知方向逐值保持；独立质量rho0、切向动量0、法向动量S−rho0误差各≤3e−7；平衡保持≤3e−7。不能仅对照helper自身计算值。
+- 新边界GPU宏观检查：底profile法向及底/顶切向最大速度误差≤2e−6；顶部max|rho−rho0|/rho0≤5e−7（明确为本FP32规模容差）；顶u=0包含在上述2e−6中。独立记录所有顶节点rho/u/v，不要求顶v均匀或等于旧Q/NX。
+- 内部距底8/16/24处实际Σrho*v，相对rho_bar*Q误差≤.005，三个截面跨度/|rho_bar*Q|≤.002；同时记录各y实际Σv与Σrho*v。所有populations有限，rho最大偏差≤.005、max速度≤.01。零幅值max速度≤2e−6。
+- x镜像rho/v偶、u奇：rho误差/rho0≤2e−5；u/v误差/固定.002≤.002。非零案例内部中心v与A同号，max|u|>1e−5。保留完整实际场、质量历史，不以目标自证实际通量。
+- 每例末态另16步：包括slot、零目标flanks、整个顶部的实际population incoming/outgoing；实际collision舍入单列；独立ΔM预算残差/M≤2e−7；审计版与普通版逐值相同。预算闭合不能替代稳态质量通过。
+- 先CPU和旧路径短回归：原J1全平面与原J2有限slot旧velocity-top同初态64步DDF/flags与本包起点逐值相同；默认关闭7步对照亦逐值相同。新顶模式/固定rho不一致、静态签名改变及旧缺省字段的配置/checkpoint契约在CPU核对。
+- 然后仅跑正例；若正例失败即停止，不运行负例/零幅值/新模式GPU恢复，分别标未测。正例全部通过后才补同参数A=−.002、A=0及正例短checkpoint恢复延续；每项必须有明确通过/失败/未测，null不得算通过。
+
+这是新的顶部物理条件；即使通过，压力库可能带走数值舍入新增质量，不能说collision舍入消失，或旧失败全部来自连续模型，也不推论所有2D双速度边界无稳态。未增加clipping、renormalization、动态反馈、FP64、曲面或AMR。
+
+运行固定cwd=/home/frank14f/CelerisLab、既有解释器/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python、进程PYTHONPATH=/home/frank14f/CelerisLab/src；核对真实Python/CUDA来源。GPU只在空闲获准0/1中选取，每次启动前检查。保留原始日志、命令和本轮增量，完成后停止。当前尚未执行本包测试。
+
+## 结果：正例未通过速度收敛，按约定停止
+
+以上为运行前冻结记录。所有模型参数、门槛和最大步数均未调整。新顶部压力库实现完成，但正例在20760步上限内没有满足完整速度场的连续四间隔收敛判据，进程明确退出1。负例、零幅值和新模式GPU checkpoint延续均为 **not_tested**，没有将跳过项计作通过。
+
+| 检查 | 结果 | 证据 |
+| --- | --- | --- |
+| CPU helper/配置/状态/checkpoint契约 | 通过 | 111 passed、13 subtests passed，4.58秒 |
+| 原J1 velocity-top，初始化及64步 | 通过 | 与本轮起点DDF/flags逐值相同 |
+| 原J2有限slot velocity-top，初始化及64步 | 通过 | 与本轮起点DDF/flags逐值相同 |
+| 默认关闭短通道，7步 | 通过 | 与本轮起点DDF/flags逐值相同 |
+| reservoir正例完整场稳态 | **失败** | 末4间隔v变化均超过5e−5 |
+| 正例质量、流量、范围、边界矩、镜像 | 通过 | 下面列出数值，完整场和历史见results.json |
+| 实际16步population预算 | 通过 | 审计/普通版逐值一致，预算残差0 |
+| reservoir负例/零幅值/GPU恢复 | **未测** | 正例失败触发预定停止条件 |
+
+CPU新helper覆盖20组：rho=1/1.04、法向v=0/±.001/±.01、平衡/非平衡。独立检查rho、两个动量矩及已知方向保持；未知输入毒化。配置/checkpoint测试覆盖非法模式、错误边界组合、非零顶切向速度、非法密度、模式/rho/u不一致在写状态前拒绝、旧缺省字段仅对应velocity、同模式host恢复。新模式GPU恢复未运行，不能用host测试代替它。
+
+### 实际速度与质量历史
+
+底部请求Q=.01706689453125；顶部初猜.000355560302734375。末态顶Cartesian v范围[.0002525877428643851, .00046274994794326185]，平均.00035590787330683823，随x变化，未强制旧Q/NX。顶rho范围[.9999998677521944, 1.0000002067536116]，最大相对误差2.06754e−7≤5e−7；顶切向max|u|=9.31323e−9。底/顶已指定速度最大误差3.66936e−8≤2e−6。
+
+| 最后间隔结束步数 | u场RMS变化/.002 | v场RMS变化/.002 | 质量相对初始增量 |
+| ---: | ---: | ---: | ---: |
+| 19203 | 2.63806e−5 | **7.32955e−5** | 2.20613e−8 |
+| 19722 | 2.68569e−5 | **6.99404e−5** | 2.71953e−8 |
+| 20241 | 3.02468e−5 | **6.47420e−5** | 2.54232e−9 |
+| 20760 | 2.93488e−5 | **6.02197e−5** | 2.17732e−8 |
+
+u通过5e−5门槛，v未通过。v的绝对RMS变化约1.20–1.47e−7，仍超过既定1e−7对应阈值。本包没有证明这是纯FP32噪声，也没有区分更慢收敛或离散波动，因此不能将其改判通过。
+
+末态M=1583.999700639397；初末相对质量偏移1.93463e−7≤1e−3；末4间隔跨度2.97376e−8≤6e−6；每间隔质量变化也通过2e−6。全部流体rho最大偏差2.45519e−4≤.005，实际最大速度.00198440335≤.01。
+
+内部距底8/16/24处实测Σrho*v分别.01707495563、.01707951725、.01708397269；相对rho_bar*Q最大误差.00100084933≤.005，截面跨度相对参照.000528336708≤.002。底/顶宏观质量流量分别.01706953719/.01708357781；底/顶宏观体积流量分别.01706693722/.01708357792。请求、宏观实际流量和population收支分别记录，没有互相替代。
+
+镜像误差：rho偶对称/rho0=4.95464e−7≤2e−5，u奇对称/.002=.000202076431≤.002，v偶对称/.002=.000137883793≤.002。内部中心v符号和非零横向u检查通过。全部rho/u/v节点和各y截面流量保留在results.json。
+
+### 16步全平面实际收支
+
+审计从20760步末态开始，不用于延长稳态搜索。平均每步：
+
+| 实际量 | 数值 |
+| --- | ---: |
+| 底slot population净交换 | .01706229161937 |
+| 底零目标flanks净交换 | 7.03462865204e−6 |
+| 顶全平面净交换 | −.01708168501500 |
+| 全边界净交换 | −1.23587669805e−5 |
+| collision实际舍入 | +1.20385084301e−5 |
+| 全域ΔM | −3.20258550346e−7 |
+
+每步独立ΔM减去边界真实净交换和collision舍入后残差为0；审计版/普通版DDF逐值相同。未扣collision的最大相对物理预算残差1.15158e−8，说明碰撞舍入仍在。压力库下的净排出与正舍入项在该16步窗口大部分抵消；这不证明舍入消失，也不能反推旧J2失败全部由连续模型造成。slot/flanks分账按节点索引，包含斜向分布与时间变化，不直接等同于各段宏观穿壁通量。
+
+## 实际执行与原始证据
+
+CPU实际命令：
+
+```bash
+env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python - <<'PY' > research/j3-reservoir-2026-10-12/cpu.log 2>&1
+from pathlib import Path
+import sys, pytest, CelerisLab
+from CelerisLab.cuda import compiler_v2 as compiler
+root=Path('/home/frank14f/CelerisLab')
+assert Path.cwd()==root and sys.executable=='/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
+assert Path(CelerisLab.__file__).resolve()==root/'src/CelerisLab/__init__.py'
+assert Path(compiler.kernel_path('kernel_v2.cu')).resolve()==root/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
+print(sys.executable, CelerisLab.__file__, compiler.kernel_path('kernel_v2.cu'))
+raise SystemExit(pytest.main(['tests/unit/test_reservoir.py','tests/unit/test_slot_velocity.py','tests/unit/test_planar_velocity.py','tests/unit/test_build_contracts.py','tests/unit/test_state_regressions.py','tests/unit/test_simulation_lifecycle.py','-q','--tb=short','-p','no:cacheprovider']))
+PY
+```
+
+GPU前的沙箱nvidia-smi驱动访问失败，原始stderr见gpu-availability-sandbox.log。设备读取的首次自动审批超时，按工具允许仅重试一次成功；不是403，也未更改网络/驱动/环境设置。成功的`nvidia-smi -i 0,1`在21:35香港时间显示两卡均0%/5MiB，仅Xorg约4MiB，无计算任务。本轮选GPU0，只运行下列科研命令一次：
+
+```bash
+env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_j3_reservoir.py --output research/j3-reservoir-2026-10-12/results.json --baseline-kernels /tmp/celeris-j3-before/src/CelerisLab/lbm/kernels > research/j3-reservoir-2026-10-12/gpu-validation.log 2>&1
+```
+
+验证器内部再次核对sys.executable、cwd、CelerisLab.__file__与kernel_v2.cu绝对来源。原始CPU成功/GPU失败日志及完整数值结果均保留。不存在JSON序列化失败或物理重跑；未安装依赖。
+
+## 复核、增量与清理
+
+architecture只读复核未发现公式、符号、时序、静态配置/checkpoint或验证停止条件的阻塞项，未编辑或运行计算。验收依据实际GPU结果，不能由代码复核替代。
+
+incremental.diff相对本轮当前脏树起点：生产5文件+29/−2行，CONFIG说明+20行，测试/验证5文件+222/−11行；共11文件+271/−13行。没有新增生产文件或kernel launch。复用J2场/预算验证，未执行的恢复检查不再计为通过；新模式顶v记录为初猜而非目标。旧物理路径及旧research结果不改。
+
+全部原文件仍在；J1/J2 research材料、四个配置头和notebook与本轮起点哈希一致。git diff --check及增量反向校验通过，反向重建逐字节匹配起点；临时重复src/tests备份在验证后清除，审计构建自动清理。保留所有原始结果和日志。因与旧脏树同文件交叠，没有提交或推送。
+
+本轮停止交复审。后续复跑需要在临时副本中由本包diff反向重建起点CUDA目录，再作为必需baseline传入，不能在当前脏树直接反向应用。未覆盖负例/零幅值/新模式GPU恢复、长期稳定、精度阶、性能、其他支持组合或曲面/AMR；不得把旧J2失败或本J3正例改称通过。
diff --git a/research/j3-reservoir-2026-10-12/baseline-status.txt b/research/j3-reservoir-2026-10-12/baseline-status.txt
new file mode 100644
index 0000000..a318e07
--- /dev/null
+++ b/research/j3-reservoir-2026-10-12/baseline-status.txt
@@ -0,0 +1,69 @@
+ M pyproject.toml
+ M setup.py
+ M src/CelerisLab/__init__.py
+ M src/CelerisLab/body/__init__.py
+ M src/CelerisLab/body/ddf_patch.py
+ M src/CelerisLab/body/manager.py
+ M src/CelerisLab/body/preprocess/flag_overlay.py
+ M src/CelerisLab/common/__init__.py
+ M src/CelerisLab/common/checkpoint.py
+ M src/CelerisLab/config.py
+ M src/CelerisLab/configs/CONFIG.md
+ M src/CelerisLab/cuda/__init__.py
+ M src/CelerisLab/cuda/compiler_v2.py
+ M src/CelerisLab/cuda/context.py
+ M src/CelerisLab/lbm/__init__.py
+ M src/CelerisLab/lbm/curved_links.py
+ M src/CelerisLab/lbm/field.py
+ M src/CelerisLab/lbm/initializers.py
+ M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh
+ M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh
+ M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh
+ M src/CelerisLab/lbm/kernels/config/config_grid.h
+ M src/CelerisLab/lbm/kernels/config/config_method.h
+ M src/CelerisLab/lbm/kernels/config/config_objects.h
+ M src/CelerisLab/lbm/kernels/config/config_physics.h
+ M src/CelerisLab/lbm/kernels/kernel_v2.cu
+ M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh
+ M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh
+ M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh
+ M src/CelerisLab/lbm/kernels/step/aux_kernels.cu
+ M src/CelerisLab/lbm/kernels/step/esopull_sync.cu
+ M src/CelerisLab/lbm/kernels/step/init_flow.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_double.cu
+ M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu
+ M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh
+ M src/CelerisLab/lbm/stepper.py
+ M src/CelerisLab/simulation.py
+ M tests/integration/test_body_sync_e2e.py
+ M tests/integration/test_ddf_patch.py
+ M tests/integration/test_sync_bodies_skeleton.py
+ M tests/integration/test_unified_obs.py
+ M tests/postproc/experiment.ipynb
+ M tests/validation/run_kan99b_rotating_cylinder.py
+ M tests/validation/run_sah04_st_matrix.py
+ M tests/validation/test_sensor_accuracy.py
+?? docs/design/
+?? docs/multilevel_grid_architecture_analysis.md
+?? research/
+?? src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
+?? "tests/audit/body\345\210\240\345\207\217\345\212\237\350\203\275.md"
+?? tests/integration/_cases.py
+?? tests/integration/test_numerical_gpu.py
+?? tests/integration/test_runtime_contracts_gpu.py
+?? tests/integration/test_state_gpu.py
+?? tests/unit/cpp/
+?? tests/unit/test_build_contracts.py
+?? tests/unit/test_context_ownership.py
+?? tests/unit/test_initializers.py
+?? tests/unit/test_numerical_operators.py
+?? tests/unit/test_planar_velocity.py
+?? tests/unit/test_simulation_lifecycle.py
+?? tests/unit/test_slot_velocity.py
+?? tests/unit/test_state_regressions.py
+?? tests/validation/multigrid/
+?? tests/validation/run_j1.py
+?? tests/validation/run_j2_slot.py
+?? tests/validation/run_poiseuille.py
diff --git a/research/j3-reservoir-2026-10-12/baseline.json b/research/j3-reservoir-2026-10-12/baseline.json
new file mode 100644
index 0000000..060502e
--- /dev/null
+++ b/research/j3-reservoir-2026-10-12/baseline.json
@@ -0,0 +1,224 @@
+{
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
+  "cuda_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
+  "hashes": {
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+    "research/j2-slot-2026-10-12/incremental.diff": "c9e391bc91438cd912c1ed5a419705d4388522f672c67a066cfc055e814e699f",
+    "research/j2-slot-2026-10-12/results.json": "7d35ca7989aed5380e0a45de7f583972566fc516a051da63c53b35514e267494",
+    "research/repair-2026-10-10/TRON_HANDOFF.md": "f8aaa3d99cd133c2055d4adf396a0a57d14f6006aea19e87611bd1c2c1b53a88",
+    "research/repair-2026-10-10/baseline-hashes.json": "d6a7d5f9ec5bceb0e7927d55603d9c5e70105982cd945723454659b19ab476e6",
+    "research/repair-2026-10-10/baseline-status.txt": "074088d793014e3b8154c58718058c7d300fb45595f5129fa957ef1e4cec38e2",
+    "research/repair-2026-10-10/checkpoint-domain-2026-10-12.diff": "292b4bafe7a62d4fbbf7c165eb99929336edfcaa16b15f34f72ab71fcd928391",
+    "research/repair-2026-10-10/classic-results.json": "a5d15305f516fd378b54cf9029102be58a83a55a7bad4b8e058fcfe0cc9898f4",
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+    "research/repair-2026-10-10/repair-numerical.md": "0272ebfa8c519aad161c520542cf53156574661609b91fd5ccad7955fdf2bd7b",
+    "research/repair-2026-10-10/repair-state.md": "4d4aa1ec0c11a87d2c8380912e7ed74cf5c910ae42e5cc529effde36c9020969",
+    "src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh": "e093248d4060f075d89c97c49438cfbf331ae61820889115688fc5ffab969dd6",
+    "tests/audit/body\u5220\u51cf\u529f\u80fd.md": "e9f308a8cd0f0e7df5441c32a15f84c0bae50bc0e56b8728f6c6f2cf78596673",
+    "tests/integration/_cases.py": "ab76ca1096d2d10fb05b3539aa8ed3c7e549619bae6900ac98723f6c3c908f2d",
+    "tests/integration/test_numerical_gpu.py": "002a6745929bd5ee86a9491ea9bc3f97602fb825ea17262ea190c9311881100e",
+    "tests/integration/test_runtime_contracts_gpu.py": "775e578e2e8072af32fc740b2698abbb79454235a0f3ee929ac4c75d747f8db5",
+    "tests/integration/test_state_gpu.py": "dde0948941e8abbc5ea10a3acb3a35abbaea576f36ecee0f1120fbcf7454d60b",
+    "tests/unit/cpp/collision_regression.cpp": "f17acdff74ab82a62dc5402b42e3f6a149c262e89b140494164d6ebd630f5e14",
+    "tests/unit/cpp/planar_velocity.cpp": "8dea266984edc69d4e0e68007e038d7a587e99f84e33478d6656a66a56680933",
+    "tests/unit/cpp/semantic_regression.cpp": "99dba074c0c0a32ea76026e7d54fc60af8e6d3dc5315c8900c470b4518878f39",
+    "tests/unit/cpp/slot_profile.cpp": "31ac58ccab175bf79fa59fc46d4c0842df18ab0a5e5916be84760d9da2b75788",
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+    "tests/unit/test_slot_velocity.py": "6a9494de9a32c350389ccbed58af48951f6b25a21a258537d2e8b73eb67cb11d",
+    "tests/unit/test_state_regressions.py": "0f69cfeb83428192f95688c76abcae7e5b9cf5f27c52bca4ac20c7f320044374",
+    "tests/validation/multigrid/MULTIGRID_VERIFICATION_STRATEGY.md": "d4f3473da44abee6031a0e1bd4d0ca589077a18f15d2461836e4d2ebb98e458a",
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+    "tests/specs/Sah04_validation.md": "1d122d29e281b7f50801b148f3314a0e35fdc27ee7d757c0a661243aa6185fb0",
+    "tests/specs/exp_ctrl_matrix.md": "5d9dd2e703582572eb68afe3a7096ea43ec82aa03418d20ed283c5365031e433",
+    "tests/specs/kan99b.md": "b7e0669f0a6b677d902204f3427d1b3ac254bfe70c37d9cf995fb3e8f1fedfb1",
+    "tests/specs/sah04.md": "33dbe5e0fd63738abd055c4aa403c191b6de04e6efdbc568f1942c6d23c7459f",
+    "tests/specs/streakline_notes.md": "cd342d214c07eb608ac2e5b8697322c44c31dbf4d27dfdb5409de46ef474df4b",
+    "tests/unit/__init__.py": "17f57920d9c1ff46096ceb2af008eb38c4b98dc81ffa3c3d310e758e80ca1cd4",
+    "tests/unit/test_body_flags.py": "ac6409157924e15a13a3d2cc2f1a09014b8b0198ba17c824f412ff20b19e2aac",
+    "tests/unit/test_equilibrium.py": "1ecbcc4547b1c846b75320463d828d6a36b6aae73208084fae476b1001c1bb50",
+    "tests/unit/test_pending_edits.py": "905a0dff23b123e8e38aaf364984c810fe51c39acd64aa271e343a4701d3d024",
+    "tests/unit/test_sync_plan.py": "983313ef783143231fa5a392f85f3bac011184773ccaf5d946504c206cabb721",
+    "tests/validation/run_kan99b_rotating_cylinder.py": "323186429a100f36b41ab9b81ade2da6a47e93be3ccb7034a3a6b97f4ee8eb00",
+    "tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
+    "tests/validation/run_sah04_st_matrix.py": "9b9c0ce063e07a316846635ee769b837ed26be6bf039f78f4219c10b516f8006",
+    "tests/validation/test_sensor_accuracy.py": "c6038a9e7a597a1738814bd15e6ecf357cfd271cdc2a132d47943c5280ac0ef9"
+  }
+}
diff --git a/research/j3-reservoir-2026-10-12/incremental.diff b/research/j3-reservoir-2026-10-12/incremental.diff
new file mode 100644
index 0000000..8e2c79a
--- /dev/null
+++ b/research/j3-reservoir-2026-10-12/incremental.diff
@@ -0,0 +1,449 @@
+--- a/src/CelerisLab/common/checkpoint.py
++++ b/src/CelerisLab/common/checkpoint.py
+@@ -220,6 +220,10 @@
+                     raise ValueError(f"Checkpoint on-site boundary mismatch on '{key}'")
+             if saved_cfg.get("wall_slot_width", 0) != lbm_cfg.wall_slot_width:
+                 raise ValueError("Checkpoint on-site boundary mismatch on 'wall_slot_width'")
++            if saved_cfg.get("top_wall_bc", "velocity") != lbm_cfg.top_wall_bc:
++                raise ValueError("Checkpoint on-site boundary mismatch on 'top_wall_bc'")
++            if lbm_cfg.top_wall_bc == "reservoir" and saved_cfg.get("rho") != lbm_cfg.rho:
++                raise ValueError("Checkpoint reservoir boundary mismatch on 'rho'")
+         for key in ("lattice_model", "nx", "ny", "nz", "store_precision",
+                      "streaming", "ddf_shifting"):
+             saved_val = saved_cfg.get(key)
+--- a/src/CelerisLab/config.py
++++ b/src/CelerisLab/config.py
+@@ -35,6 +35,7 @@
+ }
+ OUTLET_MAP = {"neq_extrap": 0, "zero_gradient": 1, "blended": 2}
+ Y_WALL_BC_MAP = {"bounce_back": 0, "free_slip": 1, "on_site_velocity": 2}
++TOP_WALL_BC_MAP = {"velocity": 0, "reservoir": 1}
+ DTYPE_MAP = {"FP32": "float", "FP64": "double"}
+ 
+ 
+@@ -88,6 +89,7 @@
+     y_wall_bc: str = "bounce_back"
+     wall_normal_velocity: float = 0.0
+     wall_slot_width: int = 0
++    top_wall_bc: str = "velocity"
+     omega_min: float = 0.01
+     omega_max: float = 1.99
+ 
+@@ -112,6 +114,7 @@
+         for name, allowed in (
+             ("lattice_model", LATTICE_MODEL_MAP), ("collision", COLLISION_MAP),
+             ("streaming", STREAMING_MAP), ("y_wall_bc", Y_WALL_BC_MAP),
++            ("top_wall_bc", TOP_WALL_BC_MAP),
+             ("data_type", DTYPE_MAP), ("store_precision", PRECISION_MAP),
+             ("inlet_profile", INLET_MAP), ("inlet_scheme", INLET_SCHEME_MAP),
+             ("outlet_mode", OUTLET_MAP),
+@@ -157,6 +160,8 @@
+             raise ValueError("wall_slot_width must be 0 (disabled) or an integer in [2, nx]")
+         if self.wall_slot_width and (self.y_wall_bc != "on_site_velocity" or self.velocity != 0):
+             raise ValueError("wall_slot_width requires on_site_velocity and velocity=0")
++        if self.top_wall_bc == "reservoir" and (self.y_wall_bc != "on_site_velocity" or self.velocity != 0):
++            raise ValueError("reservoir requires on_site_velocity and velocity=0")
+         if self.y_wall_bc == "on_site_velocity":
+             if (not self.is_d2q9 or self.collision != "SRT"
+                     or self.streaming != "double_buffer" or self.store_precision != "FP32"
+@@ -202,12 +207,13 @@
+         self.validate()
+         return (self.lattice_model, self.nx, self.ny, self.nz, self.data_type,
+                 self.store_precision, bool(self.ddf_shifting), self.streaming,
+-                (self.velocity, self.wall_normal_velocity, self.wall_slot_width)
++                (self.velocity, self.wall_normal_velocity, self.wall_slot_width,
++                 self.top_wall_bc, self.rho if self.top_wall_bc == "reservoir" else None)
+                 if self.y_wall_bc == "on_site_velocity" else None)
+ 
+     @property
+     def top_wall_normal_velocity(self) -> float:
+-        """Uniform top target balancing the bottom's discrete requested volume."""
++        """Volume-balanced top velocity target, or reservoir initialization guess."""
+         if self.wall_slot_width in (0, self.nx):
+             return self.wall_normal_velocity
+         weights = (max(0.0, 1.0-((2*x-(self.nx-1))/self.wall_slot_width)**2)**2
+@@ -244,6 +250,7 @@
+             "WALL_NORMAL_VELOCITY": _float_literal(self.wall_normal_velocity),
+             "WALL_SLOT_WIDTH": self.wall_slot_width,
+             "TOP_WALL_NORMAL_VELOCITY": _float_literal(self.top_wall_normal_velocity),
++            "TOP_WALL_BC": TOP_WALL_BC_MAP[self.top_wall_bc],
+             "OMEGA_COLLISION_MIN": _float_literal(self.omega_min),
+             "OMEGA_COLLISION_MAX": _float_literal(self.omega_max),
+             "TRT_MAGIC_PARAM": _float_literal(self.trt_magic_param),
+@@ -314,6 +321,7 @@
+         y_wall_bc=m.get("y_wall_bc", "bounce_back"),
+         wall_normal_velocity=m.get("wall_normal_velocity", 0.0),
+         wall_slot_width=m.get("wall_slot_width", 0),
++        top_wall_bc=m.get("top_wall_bc", "velocity"),
+         omega_min=m["omega_guard"]["min"],
+         omega_max=m["omega_guard"]["max"],
+         threads_per_block=c["threads_per_block"],
+--- a/src/CelerisLab/configs/CONFIG.md
++++ b/src/CelerisLab/configs/CONFIG.md
+@@ -143,3 +143,23 @@
+ The finite-slot mode is experimental: the bounded W=16, A=±0.002 checks in
+ `research/j2-slot-2026-10-12/REVIEW.md` exceeded the fixed late-time mass-drift
+ tolerance. It is not yet validated for steady mass balance or long runs.
++
++### Opt-in top reservoir
++
++Set `method.top_wall_bc="reservoir"` with `on_site_velocity` and
++`physics.velocity=0` to fix the top density to `physics.rho` and tangential
++velocity to zero. The top Cartesian normal velocity is solved locally from
++known poststream populations; positive means outflow, negative means inflow.
++It may vary along x and is **not** constrained to the bottom requested Q/NX.
++The bottom slot/flanks and the supported lattice/collision/storage scope stay
++the same. This changes the physical top boundary condition.
++
++The initializer still uses uniform Q/NX at the top as an initial guess, then
++the density reconstruction applies from the first step. Mode, reservoir density
++and tangential velocity are fixed at construction and checked on restart.
++Missing `top_wall_bc` in older configs/checkpoints means `"velocity"`, which
++remains the default and preserves the previous two-velocity-boundary path.
++This reservoir mode is experimental. The bounded positive-slot test in
++`research/j3-reservoir-2026-10-12/REVIEW.md` passed its mass thresholds but failed
++the frozen full-field velocity convergence criterion; negative/zero cases and
++GPU restart validation were therefore not run. Long-run stability is unverified.
+--- a/src/CelerisLab/cuda/compiler_v2.py
++++ b/src/CelerisLab/cuda/compiler_v2.py
+@@ -178,6 +178,7 @@
+ #define WALL_NORMAL_VELOCITY {m['WALL_NORMAL_VELOCITY']}
+ #define WALL_SLOT_WIDTH      {m['WALL_SLOT_WIDTH']}
+ #define TOP_WALL_NORMAL_VELOCITY {m['TOP_WALL_NORMAL_VELOCITY']}
++#define TOP_WALL_BC          {m['TOP_WALL_BC']}
+ 
+ #define OMEGA_COLLISION_MIN {m['OMEGA_COLLISION_MIN']}
+ #define OMEGA_COLLISION_MAX {m['OMEGA_COLLISION_MAX']}
+--- a/src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
++++ b/src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
+@@ -31,4 +31,14 @@
+     f[6] = f[5] + 0.5f*(f[1]-f[2]) - 0.5f*rho*u - (1.0f/6.0f)*rho*v;
+     f[7] = f[8] + 0.5f*(f[2]-f[1]) + 0.5f*rho*u - (1.0f/6.0f)*rho*v;
+ }
++
++// Fixed top density and tangential u=0; positive Cartesian v exits upward.
++// J_y=rho*v follows from known poststream populations (ordinary D2Q9).
++__device__ __forceinline__ void reconstruct_top_reservoir(float* f, float rho)
++{
++    const float jy = f[0]+f[1]+f[2]+2.0f*(f[3]+f[5]+f[8])-rho;
++    f[4] = f[3] - (2.0f/3.0f)*jy;
++    f[6] = f[5] + 0.5f*(f[1]-f[2]) - (1.0f/6.0f)*jy;
++    f[7] = f[8] + 0.5f*(f[2]-f[1]) - (1.0f/6.0f)*jy;
++}
+ #endif
+--- a/src/CelerisLab/lbm/kernels/step/one_step_double.cu
++++ b/src/CelerisLab/lbm/kernels/step/one_step_double.cu
+@@ -92,7 +92,11 @@
+         // Reconstruct f(t+dt) on the physical plane, then collide below.
+         // This replaces, rather than compounds, the halfway wall correction.
+         if (y == 1u) reconstruct_bottom_velocity(f, 0.0f, bottom_wall_normal_velocity(x));
++#if TOP_WALL_BC == 1
++        else reconstruct_top_reservoir(f, RHO);
++#else
+         else reconstruct_top_velocity(f, U0, TOP_WALL_NORMAL_VELOCITY);
++#endif
+ #elif Y_WALL_BC == 1
+         apply_wall_freeslip_d2q9_y_pull(y, f, fi_in, k);
+ #else
+--- /dev/null
++++ b/tests/unit/cpp/reservoir.cpp
+@@ -0,0 +1,26 @@
++#include <cstdio>
++#include <initializer_list>
++#define __device__
++#define __forceinline__ inline
++#define WALL_NORMAL_VELOCITY 0.0f
++#include "boundary/planar_velocity.cuh"
++
++int main() {
++    const int cy[9]={0,0,0,1,-1,1,-1,-1,1};
++    const float w[9]={4.f/9,1.f/9,1.f/9,1.f/9,1.f/9,1.f/36,1.f/36,1.f/36,1.f/36};
++    for (float rho : {1.f,1.04f}) for (float v : {-.01f,-.001f,0.f,.001f,.01f})
++    for (int neq : {0,1}) {
++        float f[9];
++        printf("%.9g %.9g %d\n",rho,v,neq);
++        for (int i=0;i<9;++i) {
++            float cu=cy[i]*v;
++            f[i]=w[i]*rho*(1+3*cu+4.5f*cu*cu-1.5f*v*v)+neq*.0001f*(i-4);
++            if (cy[i]==-1) f[i]=-7.f-i;
++            printf("%.9g ",f[i]);
++        }
++        puts("");
++        reconstruct_top_reservoir(f,rho);
++        for (float value : f) printf("%.9g ",value);
++        puts("");
++    }
++}
+--- /dev/null
++++ b/tests/unit/test_reservoir.py
+@@ -0,0 +1,90 @@
++"""Actual reservoir helper moments and static boundary restart contracts."""
++import json
++from types import SimpleNamespace
++
++import h5py
++import numpy as np
++import pytest
++
++from CelerisLab.config import LBMConfig, load_lbm_config
++from CelerisLab.common.checkpoint import save_checkpoint, load_checkpoint
++from .test_numerical_operators import compile_run, ROOT
++from .test_state_regressions import device, make_field, manager
++
++
++def test_reservoir_moments_and_known_populations(tmp_path):
++    lines = compile_run(tmp_path, 'reservoir.cpp', {})
++    cx = np.array([0,1,-1,0,0,1,-1,1,-1])
++    cy = np.array([0,0,0,1,-1,1,-1,-1,1])
++    weights = np.array([4/9]+[1/9]*4+[1/36]*4)
++    for start in range(0, len(lines), 3):
++        rho, v, neq = np.fromstring(lines[start], sep=' ')
++        before, after = [np.fromstring(s, sep=' ') for s in lines[start+1:start+3]]
++        known = cy >= 0
++        np.testing.assert_array_equal(after[known], before[known])
++        # The normal momentum reference uses ONLY prescribed rho and original known values.
++        jy = before[cy == 0].sum()+2*before[cy == 1].sum()-rho
++        np.testing.assert_allclose([after.sum(), after@cx, after@cy], [rho, 0., jy], atol=3e-7, rtol=0)
++        if not neq:
++            cu = cy*v
++            expected = weights*rho*(1+3*cu+4.5*cu**2-1.5*v*v)
++            np.testing.assert_allclose(after, expected, atol=3e-7, rtol=0)
++            assert abs(after@cy/rho-v) < 3e-7
++
++
++@pytest.mark.parametrize('override', [dict(top_wall_bc='unknown'), dict(y_wall_bc='bounce_back'),
++                                    dict(velocity=.01), dict(rho=0.)])
++def test_reservoir_invalid_configuration(override):
++    cfg = dict(y_wall_bc='on_site_velocity', top_wall_bc='reservoir', velocity=0.)
++    cfg.update(override)
++    with pytest.raises(ValueError):
++        LBMConfig(**cfg).validate_runtime()
++
++
++def test_reservoir_json_and_static_signature(tmp_path):
++    data = json.loads((ROOT/'src/CelerisLab/configs/config_lbm.json').read_text())
++    data['physics']['velocity'] = 0.
++    data['method'].update(y_wall_bc='on_site_velocity', top_wall_bc='reservoir',
++                          collision='SRT', streaming='double_buffer', store_precision='FP32', ddf_shifting=False)
++    data['method']['les']['enabled'] = False
++    path = tmp_path/'config.json'
++    path.write_text(json.dumps(data))
++    cfg = load_lbm_config(path)
++    assert cfg.to_macros()['TOP_WALL_BC'] == 1
++    before = cfg.allocation_signature()
++    cfg.rho *= 1.01
++    assert before != cfg.allocation_signature()
++    cfg.rho /= 1.01
++    cfg.top_wall_bc = 'velocity'
++    assert before != cfg.allocation_signature()
++
++
++@pytest.mark.parametrize('mode, damage, accepted', [
++    ('reservoir', 'mode', False), ('reservoir', 'missing', False),
++    ('reservoir', 'rho', False), ('reservoir', 'u', False),
++    ('reservoir', None, True), ('velocity', 'missing', True), ('velocity', 'mode', False),
++])
++def test_reservoir_checkpoint_contract(device, tmp_path, mode, damage, accepted):
++    field = make_field(device, velocity=0., y_wall_bc='on_site_velocity', top_wall_bc=mode)
++    bodies = manager(field)
++    bodies.sync_to_gpu(field)
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg, bodies,
++                           str(tmp_path/'reservoir.h5'))
++    with h5py.File(path, 'a') as hf:
++        assert hf.attrs['ckpt_version'] == 3
++        cfg = json.loads(hf.attrs['config_json'])
++        if damage == 'missing': cfg.pop('top_wall_bc')
++        elif damage == 'mode': cfg['top_wall_bc'] = 'velocity' if mode == 'reservoir' else 'reservoir'
++        elif damage == 'rho': cfg['rho'] = 1.01
++        elif damage == 'u': cfg['velocity'] = .01
++        hf.attrs['config_json'] = json.dumps(cfg)
++    writes, before = device.writes, field.ddf.copy()
++    stepper = SimpleNamespace(_step_count=0)
++    if accepted:
++        load_checkpoint(path, field, stepper, field.cfg, bodies)
++        np.testing.assert_array_equal(field.ddf, before)
++        assert stepper._step_count == 3
++    else:
++        with pytest.raises(ValueError, match='boundary mismatch'):
++            load_checkpoint(path, field, stepper, field.cfg, bodies)
++        assert device.writes == writes and stepper._step_count == 0
+--- a/tests/validation/run_j1.py
++++ b/tests/validation/run_j1.py
+@@ -28,13 +28,14 @@
+              u_change=2e-5, v_change=2e-7, budget_relative_residual=2e-7)
+ 
+ 
+-def make_sim(v, mode='on_site_velocity', nx=16, top_u=.02, slot_width=0):
++def make_sim(v, mode='on_site_velocity', nx=16, top_u=.02, slot_width=0, top_mode='velocity'):
+     config = json.loads((ROOT/'src/CelerisLab/configs/config_lbm.json').read_text())
+     config['grid'].update(nx=nx, ny=35, nz=1, lattice_model='D2Q9')
+     config['physics'].update(viscosity=.1, velocity=top_u, rho=1.)
+     config['method'].update(collision='SRT', streaming='double_buffer',
+                             store_precision='FP32', ddf_shifting=False,
+-                            y_wall_bc=mode, wall_normal_velocity=v, wall_slot_width=slot_width)
++                            y_wall_bc=mode, wall_normal_velocity=v, wall_slot_width=slot_width,
++                            top_wall_bc=top_mode)
+     config['method']['les']['enabled'] = False
+     with TemporaryDirectory(prefix='celeris-j1-config-') as folder:
+         lbm, body = Path(folder)/'lbm.json', Path(folder)/'body.json'
+--- a/tests/validation/run_j2_slot.py
++++ b/tests/validation/run_j2_slot.py
+@@ -38,12 +38,12 @@
+     return bool(all(np.array_equal(a, b) for a, b in zip(*snapshots)))
+ 
+ 
+-def restart_check(sim, amplitude):
++def restart_check(sim, amplitude, top_mode='velocity'):
+     with TemporaryDirectory(prefix='celeris-j2-checkpoint-') as folder:
+         path = sim.save_checkpoint(str(Path(folder)/'slot.h5'))
+         sim.run(7)
+         expected, flags, count = sim.get_ddf().copy(), sim.get_flags().copy(), sim.stepper.step_count
+-        with make_sim(amplitude, nx=NX, top_u=0., slot_width=WIDTH) as target:
++        with make_sim(amplitude, nx=NX, top_u=0., slot_width=WIDTH, top_mode=top_mode) as target:
+             target.load_checkpoint(path)
+             target.run(7)
+             equal = (np.array_equal(expected, target.get_ddf())
+@@ -52,10 +52,10 @@
+         return bool(equal)
+ 
+ 
+-def run_case(amplitude):
++def run_case(amplitude, top_mode='velocity', check_restart=True):
+     bottom, top, slot = targets(amplitude)
+     scale = max(abs(amplitude), .002)
+-    with make_sim(amplitude, nx=NX, top_u=0., slot_width=WIDTH) as sim:
++    with make_sim(amplitude, nx=NX, top_u=0., slot_width=WIDTH, top_mode=top_mode) as sim:
+         sim.initialize()
+         rho, ux, uy = observables(populations(sim))
+         initial_mass = float(rho.sum())
+@@ -90,13 +90,15 @@
+         symmetry = dict(rho=float(np.max(np.abs(rho-rho[:, ::-1]))),
+                         u=float(np.max(np.abs(ux+ux[:, ::-1]))/scale),
+                         v=float(np.max(np.abs(uy-uy[:, ::-1]))/scale))
+-        boundary_error = float(max(np.abs(uy[0]-bottom).max(), np.abs(uy[-1]-top).max(),
++        boundary_error = float(max(np.abs(uy[0]-bottom).max(),
++                                   np.abs(uy[-1]-top).max() if top_mode == 'velocity' else 0.,
+                                    np.abs(ux[[0, -1]]).max()))
++        top_density_error = float(np.abs(rho[-1]-sim.lbm_cfg.rho).max()/sim.lbm_cfg.rho)
+         offset = abs(mass-initial_mass)/initial_mass
+         speed = float(np.hypot(ux, uy).max())
+         density_error = float(np.abs(rho-1).max())
+         nonuniform = bool(uy[8, NX//2]*amplitude > 0 and np.abs(ux).max() > 1e-5) if amplitude else True
+-        restart = restart_check(sim, amplitude) if amplitude > 0 else None
++        restart = restart_check(sim, amplitude, top_mode) if check_restart and amplitude > 0 else None
+         budget = population_budget(sim, bottom_slot=slot)
+         checks = dict(steady=steady, initialization=initial_error <= GATES['boundary_error'],
+                       boundary=boundary_error <= GATES['boundary_error'],
+@@ -105,14 +107,25 @@
+                       flux=flux_error <= GATES['flux_error'] and flux_span <= GATES['flux_span'],
+                       symmetry=symmetry['rho'] <= GATES['rho_symmetry'] and
+                       max(symmetry['u'], symmetry['v']) <= GATES['velocity_symmetry'],
+-                      zero=bool(amplitude or speed <= GATES['zero_speed']), nonuniform=nonuniform,
+-                      restart=restart is not False, audit=budget['instrumented_matches_plain'] and
++                      audit=budget['instrumented_matches_plain'] and
+                       budget['max_relative_residual'] <= GATES['budget_residual'])
++        if amplitude:
++            checks['nonuniform'] = nonuniform
++        else:
++            checks.pop('flux')  # Relative flux error has no nonzero reference here.
++            checks['zero_speed'] = speed <= GATES['zero_speed']
++        if restart is not None:
++            checks['restart'] = restart
++        if top_mode == 'reservoir':
++            checks['top_density'] = top_density_error <= 5e-7
+         checks = {name: bool(passed) for name, passed in checks.items()}
+         return dict(amplitude=amplitude, width=WIDTH, nx=NX, height=32, viscosity=.1, top_u=0.,
+                     steps=sim.stepper.step_count-16, max_steps=40*CHUNK, checks=checks, passed=all(checks.values()),
+-                    requested_volume=request_q, top_target=top, bottom_targets=bottom.tolist(),
++                    requested_volume=request_q, top_initial_guess=top,
++                    top_target=top if top_mode == 'velocity' else None, bottom_targets=bottom.tolist(),
+                     velocity_scale=scale, rho_scale=1., initial_boundary_error=initial_error,
++                    top_mode=top_mode, top_density_error=top_density_error,
++                    top_velocity_range=[float(uy[-1].min()), float(uy[-1].max())],
+                     boundary_error=boundary_error, mass_offset=offset, mass_window_span=span,
+                     flux_error=flux_error, flux_span=flux_span, section_y=sections,
+                     mass_flux_by_y=actual_mass_flux.tolist(), volume_flux_by_y=actual_volume_flux.tolist(),
+--- /dev/null
++++ b/tests/validation/run_j3_reservoir.py
+@@ -0,0 +1,81 @@
++"""Sequential reservoir experiment: stop after a failed positive case."""
++import argparse
++import json
++import os
++from pathlib import Path
++import sys
++from unittest.mock import patch
++
++import numpy as np
++import CelerisLab
++from CelerisLab.cuda import compiler_v2 as compiler
++from run_j1 import ROOT, make_sim, off_path_check
++from run_j2_slot import NX, WIDTH, GATES, run_case, restart_check
++
++
++def old_velocity_check(baseline, width, top_u):
++    states = []
++    for source in (baseline, Path(compiler.kernel_path(''))):
++        with patch.object(compiler, '_KERNEL_DIR', str(source)):
++            with make_sim(.002, nx=NX, slot_width=width, top_u=top_u) as sim:
++                sim.initialize()
++                initial = sim.get_ddf().copy()
++                sim.run(64)
++                states.append((initial, sim.get_ddf().copy(), sim.get_flags().copy()))
++    return bool(all(np.array_equal(a, b) for a, b in zip(*states)))
++
++
++def checkpoint_check():
++    with make_sim(.002, nx=NX, top_u=0., slot_width=WIDTH, top_mode='reservoir') as sim:
++        sim.initialize()
++        sim.run(11)
++        return restart_check(sim, .002, top_mode='reservoir')
++
++
++def main():
++    parser = argparse.ArgumentParser(description=__doc__)
++    parser.add_argument('--output', type=Path, required=True)
++    parser.add_argument('--baseline-kernels', type=Path, required=True)
++    args = parser.parse_args()
++    assert Path.cwd() == ROOT == Path('/home/frank14f/CelerisLab')
++    assert sys.executable == '/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python'
++    assert Path(CelerisLab.__file__).resolve() == ROOT/'src/CelerisLab/__init__.py'
++    assert Path(compiler.kernel_path('kernel_v2.cu')).resolve() == ROOT/'src/CelerisLab/lbm/kernels/kernel_v2.cu'
++    assert os.environ.get('CUDA_VISIBLE_DEVICES') in ('0', '1')
++    report = dict(python=sys.executable, package=CelerisLab.__file__,
++                  cuda_source=compiler.kernel_path('kernel_v2.cu'), physical_gpu=os.environ['CUDA_VISIBLE_DEVICES'],
++                  gates=dict(GATES, top_density_error=5e-7), regressions={}, cases=[],
++                  status=dict(positive='not_tested', negative='not_tested', zero='not_tested',
++                              checkpoint='not_tested'))
++
++    def save():
++        args.output.write_text(json.dumps(report, indent=2)+'\n')
++
++    for name, result in (
++        ('j1_velocity_top', old_velocity_check(args.baseline_kernels, 0, .02)),
++        ('j2_velocity_top', old_velocity_check(args.baseline_kernels, WIDTH, 0.)),
++        ('default_off', off_path_check(args.baseline_kernels)),
++    ):
++        report['regressions'][name] = 'passed' if result else 'failed'
++    save()
++    print(json.dumps(report['regressions']), flush=True)
++    if 'failed' in report['regressions'].values():
++        return 1
++    for name, amplitude in (('positive', .002), ('negative', -.002), ('zero', 0.)):
++        case = run_case(amplitude, top_mode='reservoir', check_restart=False)
++        report['cases'].append(case)
++        report['status'][name] = 'passed' if case['passed'] else 'failed'
++        save()
++        print(json.dumps({k: case[k] for k in ('amplitude', 'steps', 'checks', 'mass_offset',
++                                             'mass_window_span', 'flux_error', 'top_density_error',
++                                             'top_velocity_range', 'symmetry')}), flush=True)
++        if not case['passed']:
++            return 1
++    report['status']['checkpoint'] = 'passed' if checkpoint_check() else 'failed'
++    save()
++    print(json.dumps(report['status']), flush=True)
++    return 0 if all(status == 'passed' for status in report['status'].values()) else 1
++
++
++if __name__ == '__main__':
++    raise SystemExit(main())
diff --git a/research/j3-reservoir-2026-10-12/results.json b/research/j3-reservoir-2026-10-12/results.json
new file mode 100644
index 0000000..7fd5e51
--- /dev/null
+++ b/research/j3-reservoir-2026-10-12/results.json
@@ -0,0 +1,5842 @@
+{
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
+  "cuda_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
+  "physical_gpu": "0",
+  "gates": {
+    "velocity_change": 5e-05,
+    "mass_change": 2e-06,
+    "mass_window_span": 6e-06,
+    "mass_offset": 0.001,
+    "rho_error": 0.005,
+    "speed": 0.01,
+    "zero_speed": 2e-06,
+    "flux_error": 0.005,
+    "flux_span": 0.002,
+    "boundary_error": 2e-06,
+    "rho_symmetry": 2e-05,
+    "velocity_symmetry": 0.002,
+    "budget_residual": 2e-07,
+    "top_density_error": 5e-07
+  },
+  "regressions": {
+    "j1_velocity_top": "passed",
+    "j2_velocity_top": "passed",
+    "default_off": "passed"
+  },
+  "cases": [
+    {
+      "amplitude": 0.002,
+      "width": 16,
+      "nx": 48,
+      "height": 32,
+      "viscosity": 0.1,
+      "top_u": 0.0,
+      "steps": 20760,
+      "max_steps": 20760,
+      "checks": {
+        "steady": false,
+        "initialization": true,
+        "boundary": true,
+        "mass": true,
+        "bounded": true,
+        "flux": true,
+        "symmetry": true,
+        "audit": true,
+        "nonuniform": true,
+        "top_density": true
+      },
+      "passed": false,
+      "requested_volume": 0.01706689453125,
+      "top_initial_guess": 0.00035556030273437505,
+      "top_target": null,
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+                "outgoing": 8.008542202413082
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+            }
+          }
+        ],
+        "instrumented_matches_plain": true,
+        "audit_source_sha256": "d6532c48ea0bf972bce6ec3809989e9f2ec52eb1440d58f8945eb59d67dcf1b5",
+        "max_relative_residual": 0.0,
+        "max_physical_relative_residual": 1.1515711777869235e-08
+      }
+    }
+  ],
+  "status": {
+    "positive": "failed",
+    "negative": "not_tested",
+    "zero": "not_tested",
+    "checkpoint": "not_tested"
+  }
+}
diff --git a/research/refinement_example_20261013/baseline.json b/research/refinement_example_20261013/baseline.json
new file mode 100644
index 0000000..5914781
--- /dev/null
+++ b/research/refinement_example_20261013/baseline.json
@@ -0,0 +1,44 @@
+{
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "git_status": " M pyproject.toml\n M setup.py\n M src/CelerisLab/__init__.py\n M src/CelerisLab/body/__init__.py\n M src/CelerisLab/body/ddf_patch.py\n M src/CelerisLab/body/manager.py\n M src/CelerisLab/body/preprocess/flag_overlay.py\n M src/CelerisLab/common/__init__.py\n M src/CelerisLab/common/checkpoint.py\n M src/CelerisLab/config.py\n M src/CelerisLab/configs/CONFIG.md\n M src/CelerisLab/cuda/__init__.py\n M src/CelerisLab/cuda/compiler_v2.py\n M src/CelerisLab/cuda/context.py\n M src/CelerisLab/lbm/__init__.py\n M src/CelerisLab/lbm/curved_links.py\n M src/CelerisLab/lbm/field.py\n M src/CelerisLab/lbm/initializers.py\n M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh\n M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh\n M src/CelerisLab/lbm/kernels/config/config_grid.h\n M src/CelerisLab/lbm/kernels/config/config_method.h\n M src/CelerisLab/lbm/kernels/config/config_objects.h\n M src/CelerisLab/lbm/kernels/config/config_physics.h\n M src/CelerisLab/lbm/kernels/kernel_v2.cu\n M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh\n M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh\n M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh\n M src/CelerisLab/lbm/kernels/step/aux_kernels.cu\n M src/CelerisLab/lbm/kernels/step/esopull_sync.cu\n M src/CelerisLab/lbm/kernels/step/init_flow.cu\n M src/CelerisLab/lbm/kernels/step/one_step_double.cu\n M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu\n M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh\n M src/CelerisLab/lbm/stepper.py\n M src/CelerisLab/simulation.py\n M tests/integration/test_body_sync_e2e.py\n M tests/integration/test_ddf_patch.py\n M tests/integration/test_sync_bodies_skeleton.py\n M tests/integration/test_unified_obs.py\n M tests/postproc/experiment.ipynb\n M tests/validation/run_kan99b_rotating_cylinder.py\n M tests/validation/run_sah04_st_matrix.py\n M tests/validation/test_sensor_accuracy.py\n?? docs/design/\n?? docs/multilevel_grid_architecture_analysis.md\n?? research/\n?? src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh\n?? src/CelerisLab/lbm/kernels/refinement.cu\n?? src/CelerisLab/lbm/refinement.py\n?? src/CelerisLab/lbm/refinement_stepper.py\n?? \"tests/audit/body\\345\\210\\240\\345\\207\\217\\345\\212\\237\\350\\203\\275.md\"\n?? tests/integration/_cases.py\n?? tests/integration/test_numerical_gpu.py\n?? tests/integration/test_runtime_contracts_gpu.py\n?? tests/integration/test_state_gpu.py\n?? tests/unit/cpp/\n?? tests/unit/test_build_contracts.py\n?? tests/unit/test_context_ownership.py\n?? tests/unit/test_initializers.py\n?? tests/unit/test_numerical_operators.py\n?? tests/unit/test_planar_velocity.py\n?? tests/unit/test_refinement.py\n?? tests/unit/test_reservoir.py\n?? tests/unit/test_simulation_lifecycle.py\n?? tests/unit/test_slot_velocity.py\n?? tests/unit/test_state_regressions.py\n?? tests/validation/analyze_j3_saved_frames.py\n?? tests/validation/diagnose_j3_lags.py\n?? tests/validation/multigrid/\n?? tests/validation/run_j1.py\n?? tests/validation/run_j2_slot.py\n?? tests/validation/run_j3_coverage.py\n?? tests/validation/run_j3_reservoir.py\n?? tests/validation/run_poiseuille.py\n",
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+    "research/refinement_step_20261013/cpu_validation.json": "cf7200fc4b763f5a2133d8affeea306578a247179bb82ce2f5ae0d8e244c576b",
+    "research/refinement_step_20261013/incremental.patch": "c3d2d813b64f8a2305f54153508d71b546d86af7be1005cff96e0ef8c91297bb",
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+    "research/refinement_step_20261013/gpu_validation.json": "2f0218854a2a307dd15a891a781fa3c2b7e865c201630a36ca180134b1ee6436",
+    "research/refinement_step_20261013/gpu_validation.txt": "1714ee85e6235528bf29dac85bca1298a673bdb9bf0c9c364961bf364a83f0d2",
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+    "research/refinement_followup_20261013/gpu_rectangle_before.json": "aeab9314117b7eaa0950566094d20ecb5a304cc55b85887b6281694d3a6b8660",
+    "research/refinement_followup_20261013/gpu_before.json": "236cc69740cb40640cf4cd96cd94ff80644c2cf07c471b276092303edd3003e1",
+    "research/refinement_followup_20261013/gpu_rectangle_before_no_launch_1791886104981638567.json": "831b08511b78e8e631a17a638212b1c511e6f3fdb86019d7a77cc0f44d4015d2",
+    "research/refinement_followup_20261013/gpu_stdout.txt": "3147d3ab0b58ac9aa67c495491979ebb455db0fc2e89e7004facbd8c55c67b4e",
+    "research/refinement_followup_20261013/cpu_results_attempt1.json": "a91976e3ff92f7fe458a4432dae31d6b751bee92450d9a07e1dd5ee1cf5e915a",
+    "research/refinement_followup_20261013/incremental.patch": "b638544a02cbf7dd7acfcad545fcac50dc9640e193a9672f27916275c134253f",
+    "research/refinement_followup_20261013/baseline.json": "77694a29bbea2e61eb69eb5fe37eca7a8d5e82114bd59c7ff23e89d3db53a019",
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+    "research/refinement_followup_20261013/cleanup.json": "ce1fb34fcbf2fadf7786234a8dd5dd9d0e520d9353a08b5df4c6777a35beed88",
+    "research/refinement_followup_20261013/manifest.json": "5f4c3b56a9ff8dfb422c37e0777af90536e94585ae7573caa05410e3cea294f5",
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+    "research/refinement_followup_20261013/gpu_before_no_launch.json": "396664d587d2e7791e972def03c7199845f7a162ab4626733fae1e54e1262da5",
+    "research/refinement_followup_20261013/gpu_rectangle_results.json": "9a06af9ec07de80d049889f321b7ea5f03036f4e461af2a43cdfb76d02ee1d6a",
+    "research/refinement_followup_20261013/gpu_rectangle_stdout.txt": "fea29f48685d84966b51d41b33e59bc01bef7d9dbc5e75b3d7c316de761f5bd5",
+    "research/refinement_followup_20261013/gpu_seed1_results.json": "ac54f5071b6e6095437078d4f8ed1cbc851a4b727ce6336281c1f27472f3dbe4",
+    "research/refinement_followup_20261013/run_gpu.py": "16b1520adbfee1651539f04dd694f5f02e9dc8ae4f4fc55d374a0ac06b50b4b8",
+    "research/refinement_followup_20261013/cpu_results.json": "a1a57b35c0839a82a7b653a062e852edf693d2c318da77dc1cb79373661bc780",
+    "research/refinement_followup_20261013/gpu_results.json": "be369bb072139b3fbfac4cbb3ab5eade7d2fb1ab67549ae2e4e0d0f48f640dfc",
+    "research/refinement_followup_20261013/cpu_stdout_attempt1.txt": "6ac5f889a9f6b6ecfa8abb74e98b07deaadc71c7f5488112eca26e4ed255e7ba"
+  }
+}
diff --git a/research/refinement_example_20261013/before.json b/research/refinement_example_20261013/before.json
new file mode 100644
index 0000000..7ab0962
--- /dev/null
+++ b/research/refinement_example_20261013/before.json
@@ -0,0 +1,9 @@
+{
+  "utc": "2026-10-13T10:31:33.159924+00:00",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "gpus": "index, uuid, name, memory.total [MiB], memory.used [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 16384 MiB, 5 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 16384 MiB, 5 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 16384 MiB, 5 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 16384 MiB, 5 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
+  "ram_available_bytes": 64107540480,
+  "resource_policy": "2026-10-13 relaxed RAM: maintain headroom; reconstructible temporary files combined <=2000000000 bytes"
+}
diff --git a/research/refinement_example_20261013/incremental.patch b/research/refinement_example_20261013/incremental.patch
new file mode 100644
index 0000000..7ad8719
--- /dev/null
+++ b/research/refinement_example_20261013/incremental.patch
@@ -0,0 +1,177 @@
+diff --git a/tests/validation/multigrid/test_refinement_gpu.py b/tests/validation/multigrid/test_refinement_gpu.py
+--- a/tests/validation/multigrid/test_refinement_gpu.py
++++ b/tests/validation/multigrid/test_refinement_gpu.py
+@@ -214,7 +214,6 @@
+                     np.testing.assert_allclose(got, expected, rtol=0, atol=POP_ATOL, equal_nan=True)
+                 print("normal-build rest: steps=1 PASS; source/kernel paths pinned", flush=True)
+         rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
+-        self.assertLess(rss, 256)
+         print(f"host_peak_rss={rss:.3f} MiB", flush=True)
+ 
+ 
+diff --git a/tests/validation/multigrid/test_refinement_followup.py b/tests/validation/multigrid/test_refinement_followup.py
+--- a/tests/validation/multigrid/test_refinement_followup.py
++++ b/tests/validation/multigrid/test_refinement_followup.py
+@@ -3,9 +3,8 @@
+ Use the existing bounded runner/environment; no audit-build rerun. The scalar
+ rectangle oracle covers one interval, not a second general-purpose reference.
+ """
+-from contextlib import contextmanager, nullcontext
++from contextlib import nullcontext
+ from dataclasses import replace
+-import json
+ from pathlib import Path
+ import resource
+ from threading import RLock
+@@ -20,43 +19,6 @@
+ from test_refinement_gpu import (ROOT, POP_ATOL, MOMENT_ATOL, ref, postcollision,
+                                  totals, LBMConfig, CudaContext, compiler,
+                                  PeriodicPatchStepper)
+-
+-
+-@contextmanager
+-def normal_backend(cfg, bounds):
+-    """Compile before creating a CUDA context to keep combined RSS below 256MiB.
+-
+-    The normal entry/flags are unchanged. Backend requests must match the exact
+-    generated source digest; only redundant compilation is replaced by reuse.
+-    Run each GPU case in a fresh process (driver mappings can outlive a context).
+-    """
+-    p = implementation.FixedPatch2D.from_config(cfg, bounds)
+-    cuda.init()
+-    cc = cuda.Device(0).compute_capability()
+-    arch = f"sm_{cc[0]}{cc[1]}"
+-    builds, prepared = [], {}
+-    try:
+-        for config in (replace(cfg), replace(cfg, nx=p.fine_shape[1], ny=p.fine_shape[0],
+-                                            viscosity=2*cfg.viscosity)):
+-            config.validate()
+-            build = compiler.generate_config(config, n_objects=0)
+-            builds.append(build)
+-            digest = json.loads((Path(build)/".celeris-build").read_text())["source_sha256"]
+-            prepared[digest] = compiler.compile_kernel(arch, source="refinement.cu", build_dir=build)
+-
+-        def reuse(request_arch, *, source, build_dir):
+-            assert request_arch == arch and source == "refinement.cu"
+-            digest = json.loads((Path(build_dir)/".celeris-build").read_text())["source_sha256"]
+-            return prepared[digest]
+-
+-        with CudaContext(0) as context:
+-            with patch.object(compiler, "compile_kernel", side_effect=reuse):
+-                backend = PeriodicPatchStepper(cfg, bounds, context=context)
+-            with backend:
+-                yield backend
+-    finally:
+-        for build in builds:
+-            compiler.cleanup_build_dir(build)
+ 
+ 
+ def scalar_interval(coarse, fine, bounds):
+@@ -182,7 +144,6 @@
+ 
+     def tearDown(self):
+         rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
+-        self.assertLessEqual(rss, 256)
+         print(f"host_peak_rss={rss:.3f} MiB", flush=True)
+ 
+     def test_nonequilibrium_seed1_eight_steps(self):
+@@ -193,7 +154,8 @@
+         state = ref.State(*(a * (1 + 1e-3*rng.standard_normal(a.shape))
+                             for a in (initial.coarse_f, initial.fine_f)))
+         max_pop = max_drift = max_moment = 0.0
+-        with normal_backend(LBMConfig(nx=16, ny=16, viscosity=.1), (4, 4, 12, 12)) as backend:
++        with CudaContext(0) as context, PeriodicPatchStepper(
++                LBMConfig(nx=16, ny=16, viscosity=.1), (4, 4, 12, 12), context=context) as backend:
+             backend.initialize(*postcollision(state, spec, maps))
+             before = totals(backend.download(), maps)
+             for step in range(1, 9):
+@@ -224,7 +186,7 @@
+         fine_mask[4:-4, 4:-4] = True
+         initial[1][:, ~fine_mask] = np.nan
+         expected = scalar_interval(*[a.astype(np.float64) for a in initial], bounds)
+-        with normal_backend(cfg, bounds) as backend:
++        with CudaContext(0) as context, PeriodicPatchStepper(cfg, bounds, context=context) as backend:
+             self.assertEqual(backend.patch.fine_shape, (14, 16))
+             p = backend.patch
+             allocated = 2 * 9 * (17*13+16*14) * 4 + sum(a.nbytes for a in
+diff --git a/examples/fixed_periodic_patch.py b/examples/fixed_periodic_patch.py
+new file mode 100644
+--- /dev/null
++++ b/examples/fixed_periodic_patch.py
+@@ -0,0 +1,76 @@
++"""Public API demo: small periodic shear, one fixed 2:1 patch, eight coarse steps.
++
++From this checkout, after checking the selected physical GPU is idle:
++    PYTHONPATH="$PWD/src" CUDA_VISIBLE_DEVICES=0 python examples/fixed_periodic_patch.py
++
++This demonstrates initialization/stepping/leaf output, not interface accuracy.
++There are no walls, objects, forces, checkpoint files or plots.
++"""
++from dataclasses import replace
++from pathlib import Path
++
++import numpy as np
++
++import CelerisLab
++from CelerisLab.config import load_lbm_config
++from CelerisLab.cuda.context import CudaContext
++from CelerisLab.lbm.equilibrium import compute_feq_d2q9, compute_macro_from_ddf
++from CelerisLab.lbm.refinement import ACTIVE
++from CelerisLab.lbm.refinement_stepper import PeriodicPatchStepper
++
++
++def shear_equilibrium(shape, origin, dx, period):
++    """Sample ux(y)=1e-3*sin(2*pi*y/period) at physical cell centers.
++
++    Centers are origin + dx*(index+.5); this shear is independent of x.
++    Fine origin includes patch offset AND the four-cell halo, with dx=.5.
++    Equilibrium is already postcollision G, so no initial collision is needed.
++    """
++    y = origin[1] + dx * (np.arange(shape[0]) + .5)
++    ux = 1e-3 * np.sin(2*np.pi*y/period)
++    rows = np.stack([compute_feq_d2q9(1.0, float(u), 0.0) for u in ux], axis=1)
++    return np.repeat(rows[:, :, None], shape[1], axis=2)
++
++
++def leaf_summary(coarse, fine, coarse_leaf, fine_leaf):
++    """Use the same leaf masks/areas for initial and final mass."""
++    c, f = coarse[:, coarse_leaf], fine[:, fine_leaf]
++    mass = c.sum(dtype=np.float64) + .25*f.sum(dtype=np.float64)
++    macros = np.array([compute_macro_from_ddf(v) for v in np.concatenate((c, f), axis=1).T])
++    return mass, macros.min(axis=0), macros.max(axis=0)
++
++
++def main():
++    root = Path(__file__).resolve().parents[1]
++    if Path(CelerisLab.__file__).resolve() != root / "src/CelerisLab/__init__.py":
++        raise RuntimeError(f"Set PYTHONPATH to {root / 'src'}")
++    cfg = replace(load_lbm_config(str(root / "src/CelerisLab/configs/config_lbm.json")),
++                  nx=16, ny=16, viscosity=.1, velocity=1e-3, rho=1.0,
++                  lattice_model="D2Q9", collision="SRT", streaming="double_buffer",
++                  store_precision="FP32", ddf_shifting=False, les_enabled=False)
++    with CudaContext(0) as context, PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context) as run:
++        p = run.patch
++        coarse = shear_equilibrium(p.coarse_shape, (0, 0), 1.0, cfg.ny)
++        fine = shear_equilibrium(p.fine_shape, p.fine_origin, .5, cfg.ny)
++        coarse_leaf = np.ones(p.coarse_shape, dtype=bool)
++        x0, y0, x1, y1 = p.bounds
++        coarse_leaf[y0:y1, x0:x1] = False
++        fine_leaf = p.fine_kind == ACTIVE
++        coarse[:, ~coarse_leaf] = np.nan
++        fine[:, ~fine_leaf] = np.nan
++        run.initialize(coarse, fine)
++        initial_mass, _, _ = leaf_summary(*run.download(), coarse_leaf, fine_leaf)
++        run.step(8)
++        coarse, fine = run.download()  # Both levels synchronized, stored postcollision G.
++        assert np.isnan(coarse[:, ~coarse_leaf]).all() and np.isnan(fine[:, ~fine_leaf]).all()
++        assert np.isfinite(coarse[:, coarse_leaf]).all() and np.isfinite(fine[:, fine_leaf]).all()
++        mass, low, high = leaf_summary(coarse, fine, coarse_leaf, fine_leaf)
++        print(f"periodic patch API demo: synchronized coarse_steps={run.step_count}, fine_steps={2*run.step_count}")
++        print(f"leaf mass: initial={initial_mass:.12g} final={mass:.12g} drift={mass-initial_mass:+.6e}")
++        for name, lo, hi in zip(("rho", "ux", "uy"), low, high):
++            print(f"leaf {name}: [{lo:.9g}, {hi:.9g}]")
++        print("covered coarse / fine halo: NaN; functional demonstration only")
++
++
++if __name__ == "__main__":
++    main()
diff --git a/research/refinement_example_20261013/manifest.json b/research/refinement_example_20261013/manifest.json
new file mode 100644
index 0000000..bf1eee8
--- /dev/null
+++ b/research/refinement_example_20261013/manifest.json
@@ -0,0 +1,47 @@
+{
+  "baseline_files_checked": 37,
+  "required_files_unchanged": 35,
+  "changed_files": [
+    "tests/validation/multigrid/test_refinement_gpu.py",
+    "tests/validation/multigrid/test_refinement_followup.py"
+  ],
+  "new_file": "examples/fixed_periodic_patch.py",
+  "files": {
+    "examples/fixed_periodic_patch.py": {
+      "bytes": 3776,
+      "sha256": "6732e440a47c237ea341703f2d80717903d34c68fd061bdc97189e5d877be46c"
+    },
+    "research/refinement_example_20261013/baseline.json": {
+      "bytes": 8286,
+      "sha256": "ae0af15ddb40709d1e348655a665264984a240ded1e28af816a8000d08e784be"
+    },
+    "research/refinement_example_20261013/before.json": {
+      "bytes": 818,
+      "sha256": "d95cd518f080eab92af5e53e1e9b6b6fad626eae51990e510d2d2f2ae9d0ec7b"
+    },
+    "research/refinement_example_20261013/incremental.patch": {
+      "bytes": 8682,
+      "sha256": "6acd05df6669ccdcf234ac1680c6e76c75a2587974adb6728f7edda6fd625b69"
+    },
+    "research/refinement_example_20261013/notes.txt": {
+      "bytes": 1185,
+      "sha256": "f111f8cba94b43d1127945fa41615037e1740efcfc529e802338dd8c4ff02795"
+    },
+    "research/refinement_example_20261013/results.json": {
+      "bytes": 1118,
+      "sha256": "8ab13bbc022f2a66898aa07ed94f43cb6716570e7a360a809b7fcd097316db7e"
+    },
+    "research/refinement_example_20261013/stdout.txt": {
+      "bytes": 325,
+      "sha256": "9c59fb315a5552cce4ceab171003e425bf64d747137c89bd86d8779a34adcbd1"
+    },
+    "tests/validation/multigrid/test_refinement_followup.py": {
+      "bytes": 10660,
+      "sha256": "d2df924dfd5267e732036c6df27bb8809f59f1d371da75f506c67aad5997f322"
+    },
+    "tests/validation/multigrid/test_refinement_gpu.py": {
+      "bytes": 12460,
+      "sha256": "0021a39b3a131347196845cff6507c90c387b46b772fe1319d634178c5e13354"
+    }
+  }
+}
diff --git a/research/refinement_example_20261013/notes.txt b/research/refinement_example_20261013/notes.txt
new file mode 100644
index 0000000..7ff019a
--- /dev/null
+++ b/research/refinement_example_20261013/notes.txt
@@ -0,0 +1,4 @@
+Public API demonstration only: U=1e-3 equilibrium periodic shear, 16x16 coarse, fixed [4,12)^2 2:1 patch, tau .8/1.1, 8 coarse/16 fine steps. Existing equilibrium and macro helpers; correct cell-center/halo-offset sampling; leaf area weights 1/.25. No test oracle, plots, dumps, physical accuracy acceptance or production solver modifications.
+Removed obsolete RSS256 assertions and test-only precompilation shim; GPU tests now use the real production constructor/compiler/load path. Tests were syntax checked, not rerun. Example executed ONCE, exit0, through that same production path.
+New user resource policy applied: available RAM/VRAM headroom, combined rebuildable temporary files <=2GB; no fixed RSS cap. before.json records immediate physical GPU/RAM checks. results.json records command, settings, resources and source hash; stdout.txt is actual unedited output. Sampling is not an OS hard resource limit. Only own temporary directories removed.
+Read-only independent review found no example coordinate, phase or leaf-mass blocker. All historical validation records and existing production files preserved; no environment/system/dependency/DynamisLab changes, commit or push.
diff --git a/research/refinement_example_20261013/results.json b/research/refinement_example_20261013/results.json
new file mode 100644
index 0000000..94697b0
--- /dev/null
+++ b/research/refinement_example_20261013/results.json
@@ -0,0 +1,33 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/examples/fixed_periodic_patch.py"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "TMPDIR": "/tmp/celeris-example-run-95_6vilr"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 2.402957883954514,
+  "peak_sampled_group_rss_bytes": 280485888,
+  "min_ram_available_bytes": 63806234624,
+  "min_gpu_free_mib": 15826,
+  "ram_reserve_bytes": 6410754048,
+  "vram_reserve_mib": 1637,
+  "peak_combined_temporary_bytes": 1589248,
+  "temporary_budget_bytes": 2000000000,
+  "termination_reason": null,
+  "monitor": "RSS recorded, not capped; RAM/VRAM headroom and combined temp bytes sampled; not OS memory/disk hard limits",
+  "source_sha256": "6732e440a47c237ea341703f2d80717903d34c68fd061bdc97189e5d877be46c",
+  "stdout_bytes": 325
+}
diff --git a/research/refinement_example_20261013/stdout.txt b/research/refinement_example_20261013/stdout.txt
new file mode 100644
index 0000000..501446f
--- /dev/null
+++ b/research/refinement_example_20261013/stdout.txt
@@ -0,0 +1,6 @@
+periodic patch API demo: synchronized coarse_steps=8, fine_steps=16
+leaf mass: initial=256.000002444 final=256.000005753 drift=+3.308989e-06
+leaf rho: [0.999951661, 1.00004828]
+leaf ux: [-0.000877841114, 0.000877885922]
+leaf uy: [-1.7034624e-05, 1.70215859e-05]
+covered coarse / fine halo: NaN; functional demonstration only
diff --git a/research/refinement_followup_20261013/README.txt b/research/refinement_followup_20261013/README.txt
new file mode 100644
index 0000000..af65e88
--- /dev/null
+++ b/research/refinement_followup_20261013/README.txt
@@ -0,0 +1,72 @@
+Joint-review followup — 2026-10-13
+
+Completed only the requested gaps. No transport kernel, pinned reference,
+geometric module, algorithm, tau pair or tolerance changes. No audit rerun,
+32-step/Jet/dynamic-AMR run, dependency/environment change or Git push/commit.
+
+Code: download device-read exceptions mark the backend failed; close activation
+failure preserves references in failed state and permits a second close attempt.
+Explicit checks (also effective under python -O) enforce HALO=4, each validated
+omega=1/tau, and d_params size=struct.calcsize('=ffffI') before upload.
+The existing GPU test's RSS assertion is now 256MiB, not 512MiB.
+
+Executed checks (real stdout retained):
+  cpu_stdout.txt: three new CPU fault/contract tests plus the original mock
+    cleanup test pass. Both coarse and fine read failure are injected; close
+    context-manager entry failure is followed by a successful cleanup retry.
+    CPU parent/children use 256MiB RLIMIT_AS, 2MiB RLIMIT_FSIZE, core=0.
+    Peak child RSS 46,380KiB. First CPU attempt exposed an incorrectly configured
+    test Mock, corrected before rerunning; that failed stdout is also retained.
+  gpu_seed1_stdout.txt: ordinary non-instrumented build, identical seed1 initial
+    state, eight coarse steps, FP32 G versus pinned FP64 C(F_ref):
+    maximum population error 1.67235548e-7 (limit 3e-6)
+    maximum leaf mass/momentum drift 2.23806128e-5 (limit 2e-4)
+    maximum leaf reference discrepancy 2.20813948e-5 (limit 2e-4).
+    These match the preceding audit-build observations. No audit was rerun.
+  gpu_rectangle_stdout.txt: ordinary build, ONE coarse step on 17x13 coarse,
+    bounds=(2,2,6,5), fine=16x14 including halo. Offcenter/non-square, x/y margin2,
+    distinct layer dimensions. Asymmetric nonequilibrium G0, compared with a
+    small independent scalar G-to-G oracle using closed-midpoint geometry and
+    no production exchange tables. Maximum population error 1.14050047e-7;
+    full raw fine halo NaN/valid mask and public leaf mask match. Device arrays
+    35,288 bytes. This adds bounded rectangle coverage, not a general accuracy
+    or arbitrary-grid certification.
+
+Resource handling, including unsuccessful starts:
+  Every actual job has its own immediately preceding gpu_*_before.json with
+  physical UUID, utilization, memory and compute-apps. Only physical GPU0 used:
+  GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c. Successful starts: 0%, 5MiB, no apps.
+  Initial launcher stopped before starting on a units-parsing mistake; snapshot
+  retained. After correction, original compile-inside-context test was killed by
+  our monitor at 268,984,320 bytes summed process-group RSS (256.52MiB), while
+  compiling the second module: no flow steps had run. gpu_results.json records
+  the -9 exit and contributing Python/nvcc/cicc processes. Its residual build
+  was identified by exact source/config metadata plus in-job timestamp and
+  removed; cleanup.json records that check.
+  No budget increase: test-only normal_backend now compiles normal refinement.cu
+  before creating a context, then matches exact generated source digest and
+  architecture when loading. Each case runs in a fresh process. Ordinary compiler
+  flags, kernel and production loading/transport behavior remain unchanged.
+  Successful seed1/rectangle sampled process-group peaks: 194,113,536 and
+  194,244,608 bytes (~185MiB), including any live compiler children. Device arrays
+  remain below 128KiB. One rectangle launch was refused at utilization 6% despite
+  no listed apps; a new idle snapshot preceded the later successful launch.
+  RSS polling at 20ms is a monitoring threshold, NOT an OS hard memory limit;
+  summing RSS conservatively double-counts shared pages. CUDA virtual address
+  mappings are not limited with RLIMIT_AS. Output/core use OS limits, combined
+  raw stdout is also watched against 2MiB, and elapsed time against 120s.
+  Only the test's own new process group is terminated on a threshold violation.
+  The runner itself is outside that group. All new per-job temporary directories
+  were cleaned. run_gpu.py records the exact reproducible harness and skips
+  already successful cases when resuming these evidence files.
+
+Existing pycuda_3_10 Python and explicit /home/frank14f/CelerisLab/src used;
+package/kernel/source paths asserted. Full commands, process-only settings,
+snapshots, times and RSS are in the JSON records; no DynamisLab access.
+
+incremental.patch is relative to THIS round's frozen start: two small existing
+file changes and one new followup test. Baseline verification is limited to the
+15 relevant source/reference/prior-evidence files, preserving unrelated dirty
+work; the 13 outside the intended two edits remain byte-identical. Prior-round
+validation files are untouched. Independent read-only agent review found no
+remaining blocker. No long-time interface/stress accuracy claim is added.
diff --git a/research/refinement_followup_20261013/baseline.json b/research/refinement_followup_20261013/baseline.json
new file mode 100644
index 0000000..7c60ad8
--- /dev/null
+++ b/research/refinement_followup_20261013/baseline.json
@@ -0,0 +1,22 @@
+{
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "git_status": " M pyproject.toml\n M setup.py\n M src/CelerisLab/__init__.py\n M src/CelerisLab/body/__init__.py\n M src/CelerisLab/body/ddf_patch.py\n M src/CelerisLab/body/manager.py\n M src/CelerisLab/body/preprocess/flag_overlay.py\n M src/CelerisLab/common/__init__.py\n M src/CelerisLab/common/checkpoint.py\n M src/CelerisLab/config.py\n M src/CelerisLab/configs/CONFIG.md\n M src/CelerisLab/cuda/__init__.py\n M src/CelerisLab/cuda/compiler_v2.py\n M src/CelerisLab/cuda/context.py\n M src/CelerisLab/lbm/__init__.py\n M src/CelerisLab/lbm/curved_links.py\n M src/CelerisLab/lbm/field.py\n M src/CelerisLab/lbm/initializers.py\n M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh\n M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh\n M src/CelerisLab/lbm/kernels/config/config_grid.h\n M src/CelerisLab/lbm/kernels/config/config_method.h\n M src/CelerisLab/lbm/kernels/config/config_objects.h\n M src/CelerisLab/lbm/kernels/config/config_physics.h\n M src/CelerisLab/lbm/kernels/kernel_v2.cu\n M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh\n M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh\n M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh\n M src/CelerisLab/lbm/kernels/step/aux_kernels.cu\n M src/CelerisLab/lbm/kernels/step/esopull_sync.cu\n M src/CelerisLab/lbm/kernels/step/init_flow.cu\n M src/CelerisLab/lbm/kernels/step/one_step_double.cu\n M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu\n M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh\n M src/CelerisLab/lbm/stepper.py\n M src/CelerisLab/simulation.py\n M tests/integration/test_body_sync_e2e.py\n M tests/integration/test_ddf_patch.py\n M tests/integration/test_sync_bodies_skeleton.py\n M tests/integration/test_unified_obs.py\n M tests/postproc/experiment.ipynb\n M tests/validation/run_kan99b_rotating_cylinder.py\n M tests/validation/run_sah04_st_matrix.py\n M tests/validation/test_sensor_accuracy.py\n?? docs/design/\n?? docs/multilevel_grid_architecture_analysis.md\n?? research/\n?? src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh\n?? src/CelerisLab/lbm/kernels/refinement.cu\n?? src/CelerisLab/lbm/refinement.py\n?? src/CelerisLab/lbm/refinement_stepper.py\n?? \"tests/audit/body\\345\\210\\240\\345\\207\\217\\345\\212\\237\\350\\203\\275.md\"\n?? tests/integration/_cases.py\n?? tests/integration/test_numerical_gpu.py\n?? tests/integration/test_runtime_contracts_gpu.py\n?? tests/integration/test_state_gpu.py\n?? tests/unit/cpp/\n?? tests/unit/test_build_contracts.py\n?? tests/unit/test_context_ownership.py\n?? tests/unit/test_initializers.py\n?? tests/unit/test_numerical_operators.py\n?? tests/unit/test_planar_velocity.py\n?? tests/unit/test_refinement.py\n?? tests/unit/test_reservoir.py\n?? tests/unit/test_simulation_lifecycle.py\n?? tests/unit/test_slot_velocity.py\n?? tests/unit/test_state_regressions.py\n?? tests/validation/analyze_j3_saved_frames.py\n?? tests/validation/diagnose_j3_lags.py\n?? tests/validation/multigrid/\n?? tests/validation/run_j1.py\n?? tests/validation/run_j2_slot.py\n?? tests/validation/run_j3_coverage.py\n?? tests/validation/run_j3_reservoir.py\n?? tests/validation/run_poiseuille.py\n",
+  "before_copy_dir": "/tmp/celeris-followup-baseline-4muj_3na",
+  "hashes": {
+    "src/CelerisLab/lbm/refinement_stepper.py": "51a0582f048ba76752b32aa5134b2caeaa39d659d2807ee6a70c3af202a9def3",
+    "src/CelerisLab/lbm/kernels/refinement.cu": "e8e769b7c6a61190675eafee99369ce9d8f4836f6ec74bed2d45f9077cbb3407",
+    "src/CelerisLab/lbm/refinement.py": "554735c5613129eb29f339c6aeeb4f3a3bbc5aba67558be51fbf7c2fb6ac442a",
+    "tests/validation/multigrid/test_refinement_gpu.py": "6c25bb0ce7a0dc3e9d11b56dd4a583524893b47b90c31ba9745829c2f39ad2ff",
+    "tests/validation/multigrid/cpu_reference.py": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+    "tests/unit/test_refinement.py": "90751142f920f1c5e988577a45afa94871a6617009cdc78323a87fc7795f4634",
+    "research/refinement_step_20261013/gpu_failure_validation.txt": "d6ec00e0e8c69015565135a67fac6de47701e9eebc3cbacc379abf8166ac61be",
+    "research/refinement_step_20261013/cpu_validation.json": "cf7200fc4b763f5a2133d8affeea306578a247179bb82ce2f5ae0d8e244c576b",
+    "research/refinement_step_20261013/incremental.patch": "c3d2d813b64f8a2305f54153508d71b546d86af7be1005cff96e0ef8c91297bb",
+    "research/refinement_step_20261013/baseline.json": "68bd37982acb433bea235a94f211c907be483e905742f98166235929f79ba95d",
+    "research/refinement_step_20261013/manifest.json": "a60a40ffa9073a8047f3b9f5af3c1256179603641083c3a20dda6cfa6e050146",
+    "research/refinement_step_20261013/README.txt": "922d6fc6c742203f69e174a12cac6b19e8ae15be74257134c08d72990b16d517",
+    "research/refinement_step_20261013/gpu_validation.json": "2f0218854a2a307dd15a891a781fa3c2b7e865c201630a36ca180134b1ee6436",
+    "research/refinement_step_20261013/gpu_validation.txt": "1714ee85e6235528bf29dac85bca1298a673bdb9bf0c9c364961bf364a83f0d2",
+    "research/refinement_step_20261013/gpu_failure_validation.json": "5e7d58863659af3c29f10aac11ff43516fedd39a30a40e5ead62732ba80fcbd3"
+  }
+}
diff --git a/research/refinement_followup_20261013/cleanup.json b/research/refinement_followup_20261013/cleanup.json
new file mode 100644
index 0000000..15cf342
--- /dev/null
+++ b/research/refinement_followup_20261013/cleanup.json
@@ -0,0 +1,42 @@
+{
+  "removed": "/tmp/celeris-build-98r2eru2",
+  "matched_source_sha256": "4b3f3dcaac0b42fc1675eec3df8517a8a39591c67dc28be3d1870d0be07f33f7",
+  "matched_config": {
+    "collision": "SRT",
+    "compute_capability": "auto",
+    "data_type": "FP32",
+    "ddf_shifting": false,
+    "dim": 2,
+    "inlet_profile": "parabolic",
+    "inlet_regularized_neq_damp": 0.5,
+    "inlet_scheme": "zou_he_local",
+    "inlet_trt_neq_damp": 0.5,
+    "lattice_model": "D2Q9",
+    "les_closed_form": true,
+    "les_cs": 0.16,
+    "les_enabled": false,
+    "nq": 9,
+    "nx": 24,
+    "ny": 24,
+    "nz": 1,
+    "omega": 0.9090909090909091,
+    "omega_max": 1.99,
+    "omega_min": 0.01,
+    "outlet_backflow_clamp": true,
+    "outlet_blend_alpha": 0.7,
+    "outlet_mode": "neq_extrap",
+    "outlet_srt_neq_damp": 0.5,
+    "rho": 1.0,
+    "store_precision": "FP32",
+    "streaming": "double_buffer",
+    "threads_per_block": 256,
+    "top_wall_bc": "velocity",
+    "trt_magic_param": 0.1875,
+    "velocity": 0.03,
+    "viscosity": 0.2,
+    "wall_normal_velocity": 0.0,
+    "wall_slot_width": 0,
+    "y_wall_bc": "bounce_back"
+  },
+  "reason": "Only residual build created during killed job: fine 24x24 module, identical source/config metadata and timestamp within that job."
+}
diff --git a/research/refinement_followup_20261013/cpu_results.json b/research/refinement_followup_20261013/cpu_results.json
new file mode 100644
index 0000000..1166dff
--- /dev/null
+++ b/research/refinement_followup_20261013/cpu_results.json
@@ -0,0 +1,42 @@
+{
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src"
+  },
+  "runs": [
+    {
+      "command": [
+        "/usr/bin/prlimit",
+        "--as=268435456",
+        "--fsize=2097152",
+        "--core=0",
+        "--",
+        "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+        "-B",
+        "tests/validation/multigrid/test_refinement_followup.py",
+        "FaultGuardsCPU"
+      ],
+      "exit_code": 0,
+      "elapsed": 0.2821588449878618
+    },
+    {
+      "command": [
+        "/usr/bin/prlimit",
+        "--as=268435456",
+        "--fsize=2097152",
+        "--core=0",
+        "--",
+        "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+        "-B",
+        "tests/validation/multigrid/test_refinement_gpu.py",
+        "CoupledGPU.test_cleanup_attempts_every_allocation"
+      ],
+      "exit_code": 0,
+      "elapsed": 0.2626215670024976
+    }
+  ],
+  "peak_child_rss_kib": 46380
+}
diff --git a/research/refinement_followup_20261013/cpu_results_attempt1.json b/research/refinement_followup_20261013/cpu_results_attempt1.json
new file mode 100644
index 0000000..d139d55
--- /dev/null
+++ b/research/refinement_followup_20261013/cpu_results_attempt1.json
@@ -0,0 +1,27 @@
+{
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src"
+  },
+  "runs": [
+    {
+      "command": [
+        "/usr/bin/prlimit",
+        "--as=268435456",
+        "--fsize=2097152",
+        "--core=0",
+        "--",
+        "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+        "-B",
+        "tests/validation/multigrid/test_refinement_followup.py",
+        "FaultGuardsCPU"
+      ],
+      "exit_code": 1,
+      "elapsed": 0.284473450970836
+    }
+  ],
+  "peak_child_rss_kib": 46444
+}
diff --git a/research/refinement_followup_20261013/cpu_stdout.txt b/research/refinement_followup_20261013/cpu_stdout.txt
new file mode 100644
index 0000000..d1b33ea
--- /dev/null
+++ b/research/refinement_followup_20261013/cpu_stdout.txt
@@ -0,0 +1,14 @@
+test_activation_failure_retains_resources_for_retry (__main__.FaultGuardsCPU) ... ok
+test_failed_download_blocks_read_and_step (__main__.FaultGuardsCPU) ... ok
+test_kernel_contracts_reject_before_upload (__main__.FaultGuardsCPU) ... ok
+
+----------------------------------------------------------------------
+Ran 3 tests in 0.017s
+
+OK
+test_cleanup_attempts_every_allocation (__main__.CoupledGPU) ... ok
+
+----------------------------------------------------------------------
+Ran 1 test in 0.002s
+
+OK
diff --git a/research/refinement_followup_20261013/cpu_stdout_attempt1.txt b/research/refinement_followup_20261013/cpu_stdout_attempt1.txt
new file mode 100644
index 0000000..6a9fe7f
--- /dev/null
+++ b/research/refinement_followup_20261013/cpu_stdout_attempt1.txt
@@ -0,0 +1,16 @@
+test_activation_failure_retains_resources_for_retry (__main__.FaultGuardsCPU) ... FAIL
+test_failed_download_blocks_read_and_step (__main__.FaultGuardsCPU) ... ok
+test_kernel_contracts_reject_before_upload (__main__.FaultGuardsCPU) ... ok
+
+======================================================================
+FAIL: test_activation_failure_retains_resources_for_retry (__main__.FaultGuardsCPU)
+----------------------------------------------------------------------
+Traceback (most recent call last):
+  File "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_followup.py", line 101, in test_activation_failure_retains_resources_for_retry
+    with self.assertRaisesRegex(RuntimeError, "activation failed"):
+AssertionError: RuntimeError not raised
+
+----------------------------------------------------------------------
+Ran 3 tests in 0.016s
+
+FAILED (failures=1)
diff --git a/research/refinement_followup_20261013/gpu_before.json b/research/refinement_followup_20261013/gpu_before.json
new file mode 100644
index 0000000..46762a0
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_before.json
@@ -0,0 +1,7 @@
+{
+  "utc": "2026-10-13T10:03:05.128000+00:00",
+  "gpus": "index, uuid, name, memory.used [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c"
+}
diff --git a/research/refinement_followup_20261013/gpu_before_no_launch.json b/research/refinement_followup_20261013/gpu_before_no_launch.json
new file mode 100644
index 0000000..074982d
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_before_no_launch.json
@@ -0,0 +1,7 @@
+{
+  "utc": "2026-10-13T10:02:13.061965+00:00",
+  "gpus": "index, uuid, name, memory.used [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c"
+}
diff --git a/research/refinement_followup_20261013/gpu_rectangle_before.json b/research/refinement_followup_20261013/gpu_rectangle_before.json
new file mode 100644
index 0000000..831e379
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_rectangle_before.json
@@ -0,0 +1,7 @@
+{
+  "utc": "2026-10-13T10:08:24.981497+00:00",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "gpus": "index, uuid, name, memory.used [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n"
+}
diff --git a/research/refinement_followup_20261013/gpu_rectangle_before_no_launch_1791886104981638567.json b/research/refinement_followup_20261013/gpu_rectangle_before_no_launch_1791886104981638567.json
new file mode 100644
index 0000000..c33885d
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_rectangle_before_no_launch_1791886104981638567.json
@@ -0,0 +1,7 @@
+{
+  "utc": "2026-10-13T10:07:15.648180+00:00",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "gpus": "index, uuid, name, memory.used [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 6 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n"
+}
diff --git a/research/refinement_followup_20261013/gpu_rectangle_results.json b/research/refinement_followup_20261013/gpu_rectangle_results.json
new file mode 100644
index 0000000..9c6da21
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_rectangle_results.json
@@ -0,0 +1,34 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_followup.py",
+    "NormalBuildGPU.test_offcenter_rectangle_margin_two_one_step"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "TMPDIR": "/tmp/celeris-followup-gpu-e24mokhk"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 2.0801221019937657,
+  "peak_sampled_gpu_rss_bytes": 194244608,
+  "peak_sampled_group_rss_bytes": 194244608,
+  "peak_group_members": {
+    "475514": {
+      "rss": 194244608,
+      "name": "python"
+    }
+  },
+  "termination_reason": null,
+  "monitor": "20ms RSS sum polling of own process group, NOT an OS hard limit"
+}
diff --git a/research/refinement_followup_20261013/gpu_rectangle_stdout.txt b/research/refinement_followup_20261013/gpu_rectangle_stdout.txt
new file mode 100644
index 0000000..9185bf3
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_rectangle_stdout.txt
@@ -0,0 +1,8 @@
+test_offcenter_rectangle_margin_two_one_step (__main__.NormalBuildGPU) ... normal rectangle 17x13 bounds=(2, 2, 6, 5) fine=16x14 steps=1: max_population=1.14050047e-07 device_arrays=35288; halo/stride PASS
+host_peak_rss=185.004 MiB
+ok
+
+----------------------------------------------------------------------
+Ran 1 test in 1.756s
+
+OK
diff --git a/research/refinement_followup_20261013/gpu_results.json b/research/refinement_followup_20261013/gpu_results.json
new file mode 100644
index 0000000..53e4f1c
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_results.json
@@ -0,0 +1,46 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_followup.py",
+    "NormalBuildGPU"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1"
+  },
+  "exit_code": -9,
+  "elapsed_seconds": 1.8715177840203978,
+  "peak_sampled_gpu_rss_bytes": 192253952,
+  "peak_sampled_group_rss_bytes": 268984320,
+  "peak_group_members": {
+    "475223": {
+      "rss": 192253952,
+      "name": "python"
+    },
+    "475238": {
+      "rss": 3534848,
+      "name": "nvcc"
+    },
+    "475244": {
+      "rss": 1810432,
+      "name": "sh"
+    },
+    "475245": {
+      "rss": 71385088,
+      "name": "cicc"
+    }
+  },
+  "termination_reason": "sampled process-group RSS >256MiB or walltime >120s",
+  "monitor": "20ms polling of RSS sum in our new process group; not an OS memory hard limit",
+  "output_bytes": 68
+}
diff --git a/research/refinement_followup_20261013/gpu_seed1_before.json b/research/refinement_followup_20261013/gpu_seed1_before.json
new file mode 100644
index 0000000..c77ea34
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_seed1_before.json
@@ -0,0 +1,7 @@
+{
+  "utc": "2026-10-13T10:07:12.985447+00:00",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "gpus": "index, uuid, name, memory.used [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n"
+}
diff --git a/research/refinement_followup_20261013/gpu_seed1_results.json b/research/refinement_followup_20261013/gpu_seed1_results.json
new file mode 100644
index 0000000..b718e8a
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_seed1_results.json
@@ -0,0 +1,34 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_followup.py",
+    "NormalBuildGPU.test_nonequilibrium_seed1_eight_steps"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "TMPDIR": "/tmp/celeris-followup-gpu-m0poob97"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 2.3270061850198545,
+  "peak_sampled_gpu_rss_bytes": 194113536,
+  "peak_sampled_group_rss_bytes": 194113536,
+  "peak_group_members": {
+    "475401": {
+      "rss": 194113536,
+      "name": "python"
+    }
+  },
+  "termination_reason": null,
+  "monitor": "20ms RSS sum polling of own process group, NOT an OS hard limit"
+}
diff --git a/research/refinement_followup_20261013/gpu_seed1_stdout.txt b/research/refinement_followup_20261013/gpu_seed1_stdout.txt
new file mode 100644
index 0000000..4d7de08
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_seed1_stdout.txt
@@ -0,0 +1,8 @@
+test_nonequilibrium_seed1_eight_steps (__main__.NormalBuildGPU) ... normal seed1 steps=8: max_population=1.67235548e-07 max_leaf_drift=2.23806128e-05 max_leaf_error=2.20813948e-05
+host_peak_rss=184.527 MiB
+ok
+
+----------------------------------------------------------------------
+Ran 1 test in 2.028s
+
+OK
diff --git a/research/refinement_followup_20261013/gpu_stdout.txt b/research/refinement_followup_20261013/gpu_stdout.txt
new file mode 100644
index 0000000..b0956fe
--- /dev/null
+++ b/research/refinement_followup_20261013/gpu_stdout.txt
@@ -0,0 +1 @@
+test_nonequilibrium_seed1_eight_steps (__main__.NormalBuildGPU) ... 
\ No newline at end of file
diff --git a/research/refinement_followup_20261013/incremental.patch b/research/refinement_followup_20261013/incremental.patch
new file mode 100644
index 0000000..9df25d8
--- /dev/null
+++ b/research/refinement_followup_20261013/incremental.patch
@@ -0,0 +1,340 @@
+diff --git a/src/CelerisLab/lbm/refinement_stepper.py b/src/CelerisLab/lbm/refinement_stepper.py
+--- a/src/CelerisLab/lbm/refinement_stepper.py
++++ b/src/CelerisLab/lbm/refinement_stepper.py
+@@ -14,7 +14,7 @@
+ import pycuda.driver as cuda
+ 
+ from ..cuda import compiler_v2 as compiler
+-from .refinement import ACTIVE, FixedPatch2D
++from .refinement import ACTIVE, HALO, FixedPatch2D
+ 
+ 
+ @dataclass
+@@ -37,6 +37,8 @@
+     it, rather than pretending the partially advanced fine buffer rolled back.
+     """
+     def __init__(self, cfg, bounds, *, context):
++        if HALO != 4:
++            raise RuntimeError("refinement.cu requires a four-cell fine halo")
+         self.patch = FixedPatch2D.from_config(cfg, bounds)
+         self.ctx = context
+         self._lock = RLock()
+@@ -51,9 +53,11 @@
+         with self.ctx.activate():
+             try:
+                 self._stream = cuda.Stream()
+-                for config, name in ((replace(cfg), "PatchCoarseStep"),
+-                                     (fine_cfg, "PatchFineStep")):
++                for config, name, tau in ((replace(cfg), "PatchCoarseStep", self.patch.tau_coarse),
++                                          (fine_cfg, "PatchFineStep", self.patch.tau_fine)):
+                     config.validate()
++                    if not np.isclose(config.omega, 1 / tau, rtol=1e-14, atol=0):
++                        raise RuntimeError("level omega/tau mismatch")
+                     build = compiler.generate_config(config, n_objects=0)
+                     try:
+                         ptx = compiler.compile_kernel(self.ctx.sm_arch, source="refinement.cu",
+@@ -61,7 +65,9 @@
+                         module = compiler.load_module(ptx)
+                     finally:
+                         compiler.cleanup_build_dir(build)
+-                    ptr, _ = module.get_global("d_params")
++                    ptr, size = module.get_global("d_params")
++                    if size != struct.calcsize("=ffffI"):
++                        raise RuntimeError("LBMParams host/device layout mismatch")
+                     cuda.memcpy_htod(ptr, struct.pack("=ffffI", config.omega, 0, 0, 0, 0))
+                     shape = (9, config.ny, config.nx)
+                     size = int(np.prod(shape)) * 4
+@@ -166,18 +172,23 @@
+         with self._lock, self.ctx.activate():
+             self._require("ready")
+             arrays = [np.empty(level.shape, np.float32) for level in self._levels]
+-            for level, array in zip(self._levels, arrays):
+-                cuda.memcpy_dtoh(array, level.current)
++            try:
++                for level, array in zip(self._levels, arrays):
++                    cuda.memcpy_dtoh(array, level.current)
++            except BaseException:
++                self._status = "failed"
++                raise
+             self._mask_nonleaves(*arrays)
+             return tuple(arrays)
+ 
+     def close(self):
+-        """Release owned allocations/modules; the caller's context stays open."""
++        """Release owned resources; retain them for retry if context activation fails."""
+         with self._lock:
+             if self._status == "closed":
+                 return
+-            self._status = "closed"
++            self._status = "failed"
+             with self.ctx.activate():
++                self._status = "closed"
+                 error = None
+                 try:
+                     if self._stream is not None:
+diff --git a/tests/validation/multigrid/test_refinement_gpu.py b/tests/validation/multigrid/test_refinement_gpu.py
+--- a/tests/validation/multigrid/test_refinement_gpu.py
++++ b/tests/validation/multigrid/test_refinement_gpu.py
+@@ -214,7 +214,7 @@
+                     np.testing.assert_allclose(got, expected, rtol=0, atol=POP_ATOL, equal_nan=True)
+                 print("normal-build rest: steps=1 PASS; source/kernel paths pinned", flush=True)
+         rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
+-        self.assertLess(rss, 512)
++        self.assertLess(rss, 256)
+         print(f"host_peak_rss={rss:.3f} MiB", flush=True)
+ 
+ 
+diff --git a/tests/validation/multigrid/test_refinement_followup.py b/tests/validation/multigrid/test_refinement_followup.py
+new file mode 100644
+--- /dev/null
++++ b/tests/validation/multigrid/test_refinement_followup.py
+@@ -0,0 +1,249 @@
++"""Only review gaps: CPU fault guards, normal-build seed1/8 and rectangle/1.
++
++Use the existing bounded runner/environment; no audit-build rerun. The scalar
++rectangle oracle covers one interval, not a second general-purpose reference.
++"""
++from contextlib import contextmanager, nullcontext
++from dataclasses import replace
++import json
++from pathlib import Path
++import resource
++from threading import RLock
++import unittest
++from unittest.mock import MagicMock, Mock, patch
++
++import numpy as np
++import pycuda.driver as cuda
++
++import CelerisLab
++from CelerisLab.lbm import refinement_stepper as implementation
++from test_refinement_gpu import (ROOT, POP_ATOL, MOMENT_ATOL, ref, postcollision,
++                                 totals, LBMConfig, CudaContext, compiler,
++                                 PeriodicPatchStepper)
++
++
++@contextmanager
++def normal_backend(cfg, bounds):
++    """Compile before creating a CUDA context to keep combined RSS below 256MiB.
++
++    The normal entry/flags are unchanged. Backend requests must match the exact
++    generated source digest; only redundant compilation is replaced by reuse.
++    Run each GPU case in a fresh process (driver mappings can outlive a context).
++    """
++    p = implementation.FixedPatch2D.from_config(cfg, bounds)
++    cuda.init()
++    cc = cuda.Device(0).compute_capability()
++    arch = f"sm_{cc[0]}{cc[1]}"
++    builds, prepared = [], {}
++    try:
++        for config in (replace(cfg), replace(cfg, nx=p.fine_shape[1], ny=p.fine_shape[0],
++                                            viscosity=2*cfg.viscosity)):
++            config.validate()
++            build = compiler.generate_config(config, n_objects=0)
++            builds.append(build)
++            digest = json.loads((Path(build)/".celeris-build").read_text())["source_sha256"]
++            prepared[digest] = compiler.compile_kernel(arch, source="refinement.cu", build_dir=build)
++
++        def reuse(request_arch, *, source, build_dir):
++            assert request_arch == arch and source == "refinement.cu"
++            digest = json.loads((Path(build_dir)/".celeris-build").read_text())["source_sha256"]
++            return prepared[digest]
++
++        with CudaContext(0) as context:
++            with patch.object(compiler, "compile_kernel", side_effect=reuse):
++                backend = PeriodicPatchStepper(cfg, bounds, context=context)
++            with backend:
++                yield backend
++    finally:
++        for build in builds:
++            compiler.cleanup_build_dir(build)
++
++
++def scalar_interval(coarse, fine, bounds):
++    """Independent G→G single interval, geometric links, no production tables."""
++    _, ny, nx = coarse.shape
++    _, fy, fx = fine.shape
++    x0, y0, x1, y1 = bounds
++    cx, cy = (0, 1, -1, 0, 0, 1, -1, 1, -1), (0, 0, 0, 1, -1, 1, -1, -1, 1)
++    weights = (4/9, 1/9, 1/9, 1/9, 1/9, 1/36, 1/36, 1/36, 1/36)
++
++    def collide(values, tau):
++        rho = sum(values)
++        ux = sum(c * v for c, v in zip(cx, values)) / rho
++        uy = sum(c * v for c, v in zip(cy, values)) / rho
++        equilibrium = [w * rho * (1 + 3*(a*ux+b*uy) + 4.5*(a*ux+b*uy)**2
++                                   - 1.5*(ux*ux+uy*uy)) for w, a, b in zip(weights, cx, cy)]
++        return [v - (v-e)/tau for v, e in zip(values, equilibrium)]
++
++    current = fine.astype(np.float64).copy()
++    for y in range(fy):
++        for x in range(fx):
++            if not (4 <= x < fx-4 and 4 <= y < fy-4):
++                current[:, y, x] = coarse[:, y0+(y-4)//2, x0+(x-4)//2]
++    for _ in range(2):
++        out = np.full_like(current, np.nan)
++        for y in range(2, fy-2):
++            for x in range(2, fx-2):
++                values = [current[q, y-cy[q], x-cx[q]] for q in range(9)]
++                out[:, y, x] = (collide(values, 1.1)
++                               if 4 <= x < fx-4 and 4 <= y < fy-4 else values)
++        current = out
++    result = np.full(coarse.shape, np.nan)
++    for y in range(ny):
++        for x in range(nx):
++            if x0 <= x < x1 and y0 <= y < y1:
++                continue
++            values = []
++            for q in range(9):
++                mx, my = x+.5-cx[q]/2, y+.5-cy[q]/2
++                if x0 <= mx <= x1 and y0 <= my <= y1:
++                    a, b = 4+2*(x-x0), 4+2*(y-y0)
++                    value = sum(current[q, b+dy, a+dx] for dy in (0, 1) for dx in (0, 1))/4
++                else:
++                    value = coarse[q, (y-cy[q]) % ny, (x-cx[q]) % nx]
++                values.append(value)
++            result[:, y, x] = collide(values, .8)
++    return result, current
++
++
++class FaultGuardsCPU(unittest.TestCase):
++    def fake_backend(self):
++        backend = PeriodicPatchStepper.__new__(PeriodicPatchStepper)
++        backend.ctx = Mock(activate=nullcontext)
++        backend._lock = RLock()
++        backend._status = "ready"
++        backend._stream = Mock()
++        backend._levels = [Mock(shape=(9, 1, 1)), Mock(shape=(9, 1, 1))]
++        backend._allocations = [Mock(), Mock()]
++        return backend
++
++    def test_failed_download_blocks_read_and_step(self):
++        # Fail on each level separately, including after coarse data was read.
++        for failed_read in (0, 1):
++            backend = self.fake_backend()
++            reads = [None] * failed_read + [RuntimeError("device read failed")]
++            with patch.object(cuda, "memcpy_dtoh", side_effect=reads) as read:
++                with self.assertRaisesRegex(RuntimeError, "device read failed"):
++                    backend.download()
++                calls = read.call_count
++                for operation in (backend.download, backend.step):
++                    with self.assertRaisesRegex(RuntimeError, "failed"):
++                        operation()
++                self.assertEqual(read.call_count, calls)
++            backend.close()
++
++    def test_activation_failure_retains_resources_for_retry(self):
++        backend = self.fake_backend()
++        levels, allocations, stream = backend._levels[:], backend._allocations[:], backend._stream
++        unavailable = MagicMock()
++        unavailable.__enter__.side_effect = RuntimeError("activation failed")
++        backend.ctx.activate = Mock(side_effect=[unavailable, nullcontext()])
++        with self.assertRaisesRegex(RuntimeError, "activation failed"):
++            backend.close()
++        self.assertEqual(backend._status, "failed")
++        self.assertEqual(backend._levels, levels)
++        self.assertEqual(backend._allocations, allocations)
++        self.assertIs(backend._stream, stream)
++        for allocation in allocations:
++            allocation.free.assert_not_called()
++        backend.close()
++        self.assertEqual(backend._status, "closed")
++        for allocation in allocations:
++            allocation.free.assert_called_once()
++
++    def test_kernel_contracts_reject_before_upload(self):
++        cfg = LBMConfig(nx=16, ny=16, viscosity=.1)
++        context = Mock(activate=nullcontext, sm_arch="sm_70")
++        with patch.object(implementation, "HALO", 2):
++            with self.assertRaisesRegex(RuntimeError, "four-cell"):
++                PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context)
++        p = implementation.FixedPatch2D.from_config(cfg, (4, 4, 12, 12))
++        with patch.object(cuda, "Stream"), patch.object(implementation.FixedPatch2D, "from_config",
++                                                       return_value=replace(p, tau_coarse=.9)):
++            with self.assertRaisesRegex(RuntimeError, "omega/tau"):
++                PeriodicPatchStepper(cfg, p.bounds, context=context)
++        module = Mock()
++        module.get_global.return_value = (Mock(), 16)
++        with patch.object(cuda, "Stream"), patch.object(compiler, "generate_config"), \
++                patch.object(compiler, "compile_kernel"), patch.object(compiler, "cleanup_build_dir"), \
++                patch.object(compiler, "load_module", return_value=module), \
++                patch.object(cuda, "memcpy_htod") as upload:
++            with self.assertRaisesRegex(RuntimeError, "layout mismatch"):
++                PeriodicPatchStepper(cfg, p.bounds, context=context)
++            upload.assert_not_called()
++
++
++class NormalBuildGPU(unittest.TestCase):
++    def setUp(self):
++        self.assertEqual(Path(CelerisLab.__file__).resolve(), ROOT / "src/CelerisLab/__init__.py")
++        self.assertEqual(Path(compiler._KERNEL_DIR).resolve(), ROOT / "src/CelerisLab/lbm/kernels")
++        self.assertEqual(Path(implementation.__file__).resolve(),
++                         ROOT / "src/CelerisLab/lbm/refinement_stepper.py")
++
++    def tearDown(self):
++        rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
++        self.assertLessEqual(rss, 256)
++        print(f"host_peak_rss={rss:.3f} MiB", flush=True)
++
++    def test_nonequilibrium_seed1_eight_steps(self):
++        spec = ref.make_spec(collision="srt")
++        maps = ref.build_maps(spec)
++        initial = ref.make_state(spec, velocity=(.03, -.02))
++        rng = np.random.default_rng(1)
++        state = ref.State(*(a * (1 + 1e-3*rng.standard_normal(a.shape))
++                            for a in (initial.coarse_f, initial.fine_f)))
++        max_pop = max_drift = max_moment = 0.0
++        with normal_backend(LBMConfig(nx=16, ny=16, viscosity=.1), (4, 4, 12, 12)) as backend:
++            backend.initialize(*postcollision(state, spec, maps))
++            before = totals(backend.download(), maps)
++            for step in range(1, 9):
++                state, _ = ref.advance_coarse_once(spec, maps, state)
++                backend.step()
++                actual, expected = backend.download(), postcollision(state, spec, maps)
++                self.assertEqual(backend.step_count, step)
++                for got, want in zip(actual, expected):
++                    np.testing.assert_array_equal(np.isnan(got), np.isnan(want))
++                    max_pop = max(max_pop, float(np.nanmax(np.abs(got-want))))
++                max_drift = max(max_drift, float(np.max(np.abs(totals(actual, maps)-before))))
++                max_moment = max(max_moment, float(np.max(np.abs(totals(actual, maps)-totals(expected, maps)))))
++                self.assertLessEqual(max_pop, POP_ATOL)
++                self.assertLessEqual(max_drift, MOMENT_ATOL)
++                self.assertLessEqual(max_moment, MOMENT_ATOL)
++        print(f"normal seed1 steps=8: max_population={max_pop:.9g} "
++              f"max_leaf_drift={max_drift:.9g} max_leaf_error={max_moment:.9g}", flush=True)
++
++    def test_offcenter_rectangle_margin_two_one_step(self):
++        cfg, bounds = LBMConfig(nx=17, ny=13, viscosity=.1), (2, 2, 6, 5)
++        rng = np.random.default_rng(7)
++        # Explicit asymmetric, nonequilibrium G0, not an arrival array to collide again.
++        initial = [ref.W[:, None, None] * (1+1e-3*rng.standard_normal((9, ny, nx)))
++                   for ny, nx in ((13, 17), (14, 16))]
++        initial = [np.array(a, dtype=np.float32) for a in initial]
++        initial[0][:, 2:5, 2:6] = np.nan
++        fine_mask = np.zeros((14, 16), bool)
++        fine_mask[4:-4, 4:-4] = True
++        initial[1][:, ~fine_mask] = np.nan
++        expected = scalar_interval(*[a.astype(np.float64) for a in initial], bounds)
++        with normal_backend(cfg, bounds) as backend:
++            self.assertEqual(backend.patch.fine_shape, (14, 16))
++            p = backend.patch
++            allocated = 2 * 9 * (17*13+16*14) * 4 + sum(a.nbytes for a in
++                        (p.ghost_fine, p.ghost_coarse, p.coalesce_coarse, p.coalesce_fine))
++            self.assertLess(allocated, 128*1024)
++            backend.initialize(*initial)
++            backend.step()
++            coarse, fine = backend.download()
++            raw_fine = np.empty((9, 14, 16), np.float32)
++            cuda.memcpy_dtoh(raw_fine, backend._levels[1].current)
++            max_error = 0.0
++            for got, want in zip((coarse, raw_fine), expected):
++                np.testing.assert_array_equal(np.isnan(got), np.isnan(want))
++                max_error = max(max_error, float(np.nanmax(np.abs(got-want))))
++                self.assertLessEqual(max_error, POP_ATOL)
++            self.assertTrue(np.isnan(fine[:, ~fine_mask]).all())
++        print(f"normal rectangle 17x13 bounds={bounds} fine=16x14 steps=1: "
++              f"max_population={max_error:.9g} device_arrays={allocated}; halo/stride PASS", flush=True)
++
++
++if __name__ == "__main__":
++    unittest.main(verbosity=2)
diff --git a/research/refinement_followup_20261013/manifest.json b/research/refinement_followup_20261013/manifest.json
new file mode 100644
index 0000000..177704d
--- /dev/null
+++ b/research/refinement_followup_20261013/manifest.json
@@ -0,0 +1,104 @@
+{
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+  "unchanged_required_files": 13,
+  "intended_modified_files": [
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+  ],
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+  "raw_stdout_bytes": 2084,
+  "files": {
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diff --git a/research/refinement_followup_20261013/run_gpu.py b/research/refinement_followup_20261013/run_gpu.py
new file mode 100644
index 0000000..b5af3f0
--- /dev/null
+++ b/research/refinement_followup_20261013/run_gpu.py
@@ -0,0 +1,97 @@
+"""Two missing ordinary-build checks, each in its own monitored process group.
+
+RSS polling is not an OS hard limit. prlimit enforces output/core limits only.
+No driver/context address-space limit is imposed. Never kill another job.
+"""
+import csv
+import datetime
+import io
+import json
+import os
+from pathlib import Path
+import shutil
+import signal
+import subprocess
+import tempfile
+import time
+
+OUT = Path(__file__).resolve().parent
+ROOT = OUT.parents[1]
+PYTHON = "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python"
+TEST = ROOT / "tests/validation/multigrid/test_refinement_followup.py"
+
+for name, selector in (("seed1", "test_nonequilibrium_seed1_eight_steps"),
+                       ("rectangle", "test_offcenter_rectangle_margin_two_one_step")):
+    previous = OUT / f"gpu_{name}_results.json"
+    if previous.exists() and json.loads(previous.read_text())["exit_code"] == 0:
+        continue  # Resume missing cases without repeating completed flow runs.
+    gpus = subprocess.check_output(["nvidia-smi", "--query-gpu=index,uuid,name,memory.used,utilization.gpu",
+                                    "--format=csv"], text=True)
+    apps = subprocess.check_output(["nvidia-smi", "--query-compute-apps=gpu_uuid,pid,process_name,used_memory",
+                                    "--format=csv"], text=True)
+    gpu = next(r for r in csv.DictReader(io.StringIO(gpus), skipinitialspace=True) if r["index"] == "0")
+    before = dict(utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),
+                  physical_device=0, uuid=gpu["uuid"], gpus=gpus, compute_apps=apps)
+    before_path = OUT / f"gpu_{name}_before.json"
+    if before_path.exists():
+        before_path.rename(OUT / f"gpu_{name}_before_no_launch_{time.time_ns()}.json")
+    before_path.write_text(json.dumps(before, indent=2) + "\n")
+    if (gpu["uuid"] in apps or int(gpu["utilization.gpu [%]"].split()[0]) != 0
+            or int(gpu["memory.used [MiB]"].split()[0]) > 16):
+        raise SystemExit("Physical GPU 0 occupied; no job launched")
+    command = ["/usr/bin/prlimit", "--fsize=2097152", "--core=0", "--", PYTHON,
+               "-B", str(TEST), "NormalBuildGPU." + selector]
+    scratch = tempfile.mkdtemp(prefix="celeris-followup-gpu-")
+    settings = dict(PYTHONPATH=str(ROOT / "src"), CUDA_VISIBLE_DEVICES="0", CUDA_CACHE_DISABLE="1",
+                    OPENBLAS_NUM_THREADS="1", PYTHONDONTWRITEBYTECODE="1", PYTHONNOUSERSITE="1",
+                    TMPDIR=scratch)
+    env = dict(os.environ, **settings)
+    start = time.monotonic()
+    peak_group = peak_gpu = 0
+    peak_members = {}
+    reason = None
+    process = None
+    try:
+        with (OUT / f"gpu_{name}_stdout.txt").open("w") as log:
+            process = subprocess.Popen(command, cwd=ROOT, env=env, stdout=log,
+                                       stderr=subprocess.STDOUT, start_new_session=True)
+            while process.poll() is None:
+                group = {}
+                for proc in Path("/proc").iterdir():
+                    if not proc.name.isdigit():
+                        continue
+                    try:
+                        fields = (proc / "stat").read_text().rsplit(") ", 1)[1].split()
+                        if int(fields[2]) != process.pid:
+                            continue
+                        status = (proc / "status").read_text()
+                        rss = next(int(v.split()[1])*1024 for v in status.splitlines() if v.startswith("VmRSS:"))
+                        group[int(proc.name)] = dict(rss=rss, name=(proc / "comm").read_text().strip())
+                    except (OSError, StopIteration, ValueError, IndexError):
+                        pass
+                total = sum(v["rss"] for v in group.values())
+                peak_gpu = max(peak_gpu, group.get(process.pid, {}).get("rss", 0))
+                if total > peak_group:
+                    peak_group, peak_members = total, group
+                output_bytes = sum(p.stat().st_size for p in OUT.glob("*stdout*.txt"))
+                if total > 256*1024**2 or time.monotonic()-start > 120 or output_bytes > 2*1024**2:
+                    reason = "process-group RSS >256MiB, 120s or combined stdout >2MiB"
+                    os.killpg(process.pid, signal.SIGKILL)
+                    process.wait()
+                    break
+                time.sleep(.02)
+        result = dict(command=command, cwd=str(ROOT), environment=settings,
+                      exit_code=process.returncode, elapsed_seconds=time.monotonic()-start,
+                      peak_sampled_gpu_rss_bytes=peak_gpu, peak_sampled_group_rss_bytes=peak_group,
+                      peak_group_members=peak_members, termination_reason=reason,
+                      monitor="20ms RSS sum polling of own process group, NOT an OS hard limit")
+        (OUT / f"gpu_{name}_results.json").write_text(json.dumps(result, indent=2) + "\n")
+        print((OUT / f"gpu_{name}_stdout.txt").read_text(), flush=True)
+        print(json.dumps(result), flush=True)
+    finally:
+        if process is not None and process.poll() is None:
+            os.killpg(process.pid, signal.SIGKILL)
+            process.wait()
+        shutil.rmtree(scratch)
+    if process.returncode:
+        raise SystemExit(process.returncode)
diff --git a/research/refinement_prepare_20261013/README.txt b/research/refinement_prepare_20261013/README.txt
new file mode 100644
index 0000000..8e210c2
--- /dev/null
+++ b/research/refinement_prepare_20261013/README.txt
@@ -0,0 +1,137 @@
+Fixed 2:1 patch preparation — implementation handoff, 2026-10-13
+
+Delivered: one production module, src/CelerisLab/lbm/refinement.py (138 lines),
+and tests/unit/test_refinement.py (167 lines). No existing code was modified.
+The API produces real layer geometry and compact exchange tables. It does not
+advance a coupled simulation; numerical coupling remains a joint review item.
+
+Usage (existing config, no CUDA required):
+  from CelerisLab.config import load_lbm_config
+  from CelerisLab.lbm.refinement import FixedPatch2D
+  cfg = load_lbm_config()
+  patch = FixedPatch2D.from_config(cfg, (4, 4, 12, 12))
+  patch.check_synchronization(0, 0, phase="postcollision_g")
+The supplied configuration must satisfy the documented initial backend subset.
+Bounds are (x0,y0,x1,y1), half-open, in coarse cells. Shapes are (ny,nx).
+
+Current architecture and data path
+  Simulation
+    -> LBMConfig -> compiler_v2 -> generated per-domain module
+    -> LBMField: Q-major GPU DDF buffers, flags, host mirror, macro buffers
+    -> LBMStepper: OneStep + buffer swap, completed coarse-step count
+        -> pull -> physical BC -> collision -> stored postcollision_g
+
+  New opt-in preparation path (no change to the above path):
+    LBMConfig -> FixedPatch2D.from_config
+      -> copied/validated config; coarse/fine tau and layer dimensions
+      -> fine_kind: active / inner halo / outer halo (uint8)
+      -> paired ghost_fine/ghost_coarse cell indices (uint32)
+      -> coalesce_coarse + four coalesce_fine population slots (uint64)
+      -> future transfer/step kernels (not implemented in this increment)
+
+Choices and actual implementation
+The initial contract is D2Q9/SRT/FP32/unshifted/double_buffer, without LES.
+Existing Python lattice descriptors and CUDA Q-major index conventions are
+reused. Existing configuration is copied before validation; both layers must
+respect its omega guards. Fixed 2:1 acoustic scaling gives tau_f=.5+2*(tau_c-.5).
+Fine coordinates use the patch's physical offset, dx=dt=.5 and a four-cell halo.
+Only the outer coarse ring is searched for closed-midpoint coalescence targets;
+all eight corner-pass links are included. No coarse-domain-sized masks or DDF
+arrays are allocated. Standard [4,12)^2 patch tables total 7136 bytes; enlarging
+only the coarse grid leaves table size unchanged. Arrays are contiguous/read-only.
+An explicit import enables the API; no eager package imports or default-path
+branches were added. No tree, dynamic AMR framework, new solver, field hierarchy,
+fake stepper, fine LBMField allocation or premature config/runtime switches.
+
+The synchronization method checks count/phase metadata only. It does not inspect
+populations or prove that a caller's buffer really holds g. Two coarse cells of
+geometric margin certify donor indices, not fluid ownership or physical BC safety.
+Runtime forcing, objects and domain BCs still need explicit coupling validation.
+
+Numerical coupling proposal for Claude/Grok joint review — NOT implemented
+Let F_n be the reference arrival state and G_n=C(F_n) the production state.
+Start from stored G_n, without re-colliding it:
+  1. Explode coarse G_n into fine halo once (unscaled, as in pinned CPUREF).
+  2. Fine hop 1 -> arrival F_(n+1/2); collide fine active cells once.
+  3. Fine hop 2 -> arrival F_(n+1); fine halo ghosts never collide.
+  4. Coarse pull -> provisional arrival; replace incoming interface populations
+     with the four-child fine-halo average, including corner-pass links.
+  5. Collide coarse active cells once and fine active cells a second time,
+     publishing synchronized G_(n+1). Equivalent fusion may preserve this order.
+Thus each coarse interval has one coarse collision and two fine collisions.
+Initialization must establish G_0 consistently; no extra per-step collision may
+be added to match a reference plot. Comparing C(F_ref) to production G is a test
+observation conversion, not a production step. Do not overwrite postcollision
+coarse slots with uncollided coalescence after ordinary OneStep has finished.
+The current fused kernel therefore needs a reviewed insertion point before its
+collision, with masks preserving covered/halo semantics. Its normal inlet ghost
+collision behavior is separate from the fine-halo rule above.
+
+First numerical scope proposed: fixed, unforced, object-free doubly periodic
+patch, same baseline tau pair; <=8-step same-phase CPU/GPU comparison after
+the coupling design is jointly reviewed. Reuse existing collision/layout
+helpers rather than reproduce a solver. Simulation currently constructs channel
+flags/wall corrections, so reusing its default initializer does NOT create this
+periodic fixture. Boundary selection and level-module ownership must be agreed
+before attaching a coupled backend to Simulation. No GPU budget was requested
+or consumed in this architecture-only increment; any later GPU run needs an
+occupancy check and a specific allocation budget before execution.
+
+The observed ~2.9% excess shear decay does not block topology preparation or a
+bounded equivalence implementation, but remains an interface-accuracy concern.
+Neither a future <=8-step comparison nor this geometry test establishes 32-step
+accuracy, convergence or a stress-transfer mechanism. No nonequilibrium scaling
+or time-interpolated ghosts were mixed into the pinned route. Claude's previous
+local_stress implementation-code review remains incomplete.
+
+Reference/architecture guard traceability
+Read .github/skills/lbm-ref-architecture-guard/SKILL.md; no applicable AGENTS.md
+was found in the project/source/test ancestor paths. Concrete source findings:
+  - src/CelerisLab/lbm/descriptors.py and kernels/core/layout.cuh define paired
+    D2Q9 and q*N+y*nx+x; maps use them rather than a second direction convention.
+  - src/CelerisLab/lbm/kernels/step/one_step_double.cu fuses pull/BC/collision;
+    src/CelerisLab/lbm/stepper.py swaps the stored g buffers afterward.
+  - src/CelerisLab/lbm/field.py builds channel topology and allocates full field
+    resources: unsuitable as an implicit fine-patch initializer.
+  - ref/lbmpy/src/lbmpy/relaxationrates.py: relaxation_rate_scaling agrees with
+    tau_f=.5+2*(tau_c-.5); no population rescaling is inferred from this formula.
+  - ref/palabos/src/multiGrid/multiGridGenerator2D.hh: two fine substeps and
+    separate interface processors support keeping topology separate from steps.
+    Its interpolation/rescaling is a different scheme and was NOT adopted.
+  - Pinned CPUREF-0.3 supplies the reviewed closed-corner volumetric geometry.
+    Its SHA remains bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e.
+
+Review and validation
+Independent local subagent /root/refinement_review read the production module
+and related sources and found no blocking issue. Its two suggestions were
+adopted: explicitly distinguish fine halo ghosts from inlet ghosts, and cover
+the smallest 1x1 patch at the two-coarse-cell margin. This is not a completed
+Claude/Grok review of the new coupling proposal.
+Ran only tests/unit/test_refinement.py: 9/9 passed, no numerical advance.
+Coverage: all exchange maps against pinned reference, eight corner passes,
+400 unique fine-slot reads, translated rectangle geometry/child centers,
+minimal halo edges, tau/config isolation, compact read-only arrays, index
+overflow rejection before allocation, unsupported backend/omega guards,
+phase/count rejection, exact source provenance and no CUDA/Simulation imports.
+No old diagnostics, physical matrix, Jet replay or GPU tests were rerun.
+Python 3.10.13 / NumPy 1.26.4 from existing pycuda_3_10 environment.
+PYTHONPATH=/home/frank14f/CelerisLab/src; process-only BLAS thread=1, bytecode
+disabled, user site disabled, assertions enabled. Parent and child limited by
+prlimit to 256 MiB address space, 2 MiB output file and core=0.
+Peak child RSS 36.00390625 MiB, parent 18.5 MiB; child elapsed .274485 s;
+combined test stdout/stderr 873 bytes. Full commands, times and source hash
+are in validation.json; actual unittest output is validation.txt.
+
+Audit artifacts
+baseline.json freezes HEAD, full dirty status and 303 old-file hashes, including
+all preceding validation materials. Scope excludes read-only ref, symlinks and
+bytecode, as stated in the baseline. incremental.patch is only the two new code
+files, relative to the preserved starting tree. manifest.json records final old
+file checks and new paths/sizes/SHA. No staging, commit, push or DynamisLab work.
+Stopped at the numerical coupling joint-review point.
+
+Authorization, verbatim as relayed by the coordinating thread
+<transcript_evidence>
+user（Sentinel_ed1ee5edd5e88191a1aaa4d710ce523f）: 推进吧，～/CelerisLab就是开发环境，可以改动，只要符合架构风格。遇到问题可以用undermind看文献，也可以让grok搜索互联网信息，还可以参考开源项目。
+user（Sentinel_d0d3a42b2c088191aa8aebc105fb1b27）: 允许，你用GPU验证都行
+</transcript_evidence>
diff --git a/research/refinement_prepare_20261013/baseline.json b/research/refinement_prepare_20261013/baseline.json
new file mode 100644
index 0000000..d5f2572
--- /dev/null
+++ b/research/refinement_prepare_20261013/baseline.json
@@ -0,0 +1,311 @@
+{
+  "created_utc": "2026-10-13T07:06:32.791804+00:00",
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "git_status": " M pyproject.toml\n M setup.py\n M src/CelerisLab/__init__.py\n M src/CelerisLab/body/__init__.py\n M src/CelerisLab/body/ddf_patch.py\n M src/CelerisLab/body/manager.py\n M src/CelerisLab/body/preprocess/flag_overlay.py\n M src/CelerisLab/common/__init__.py\n M src/CelerisLab/common/checkpoint.py\n M src/CelerisLab/config.py\n M src/CelerisLab/configs/CONFIG.md\n M src/CelerisLab/cuda/__init__.py\n M src/CelerisLab/cuda/compiler_v2.py\n M src/CelerisLab/cuda/context.py\n M src/CelerisLab/lbm/__init__.py\n M src/CelerisLab/lbm/curved_links.py\n M src/CelerisLab/lbm/field.py\n M src/CelerisLab/lbm/initializers.py\n M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh\n M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh\n M src/CelerisLab/lbm/kernels/config/config_grid.h\n M src/CelerisLab/lbm/kernels/config/config_method.h\n M src/CelerisLab/lbm/kernels/config/config_objects.h\n M src/CelerisLab/lbm/kernels/config/config_physics.h\n M src/CelerisLab/lbm/kernels/kernel_v2.cu\n M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh\n M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh\n M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh\n M src/CelerisLab/lbm/kernels/step/aux_kernels.cu\n M src/CelerisLab/lbm/kernels/step/esopull_sync.cu\n M src/CelerisLab/lbm/kernels/step/init_flow.cu\n M src/CelerisLab/lbm/kernels/step/one_step_double.cu\n M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu\n M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh\n M src/CelerisLab/lbm/stepper.py\n M src/CelerisLab/simulation.py\n M tests/integration/test_body_sync_e2e.py\n M tests/integration/test_ddf_patch.py\n M tests/integration/test_sync_bodies_skeleton.py\n M tests/integration/test_unified_obs.py\n M tests/postproc/experiment.ipynb\n M tests/validation/run_kan99b_rotating_cylinder.py\n M tests/validation/run_sah04_st_matrix.py\n M tests/validation/test_sensor_accuracy.py\n?? docs/design/README.md\n?? docs/design/integrated_architecture.md\n?? docs/design/multi_level_grid_architecture.md\n?? docs/design/multi_level_summary.md\n?? docs/design/multi_level_visual_reference.md\n?? docs/design/spatial_coupling_refinement.md\n?? docs/multilevel_grid_architecture_analysis.md\n?? research/audit-2026-10-09/REVIEW.zh-CN.md\n?? research/audit-2026-10-09/architecture-cpu-results.json\n?? research/audit-2026-10-09/architecture-report.md\n?? research/audit-2026-10-09/numerical-report.md\n?? research/audit-2026-10-09/numerical_collision_results.json\n?? research/audit-2026-10-09/numerical_compile_results.json\n?? research/audit-2026-10-09/numerical_semantics_results.json\n?? research/audit-2026-10-09/root-initializers-report.md\n?? research/audit-2026-10-09/state-report.md\n?? research/audit-2026-10-09/state_results.json\n?? research/design-2026-10-09/Contracts.lean\n?? research/design-2026-10-09/PLAN.zh-CN.md\n?? research/design-2026-10-09/api-architecture-study.md\n?? research/design-2026-10-09/grid-study.md\n?? research/design-2026-10-09/jet-study.md\n?? research/design-2026-10-09/jet_closure_check.py\n?? research/design-2026-10-09/jet_closure_results.json\n?? research/design-2026-10-09/math-and-history.md\n?? research/design-2026-10-09/math-checks.json\n?? research/design-2026-10-09/math_checks.py\n?? research/j1-2026-10-12/REVIEW.md\n?? research/j1-2026-10-12/baseline-status.txt\n?? research/j1-2026-10-12/baseline.json\n?? research/j1-2026-10-12/incremental.diff\n?? research/j1-2026-10-12/results.json\n?? research/j2-slot-2026-10-12/REVIEW.md\n?? research/j2-slot-2026-10-12/baseline-status.txt\n?? research/j2-slot-2026-10-12/baseline.json\n?? research/j2-slot-2026-10-12/incremental.diff\n?? research/j2-slot-2026-10-12/results.json\n?? research/j3-coverage-2026-10-12/REVIEW.md\n?? research/j3-coverage-2026-10-12/baseline-status.txt\n?? research/j3-coverage-2026-10-12/baseline.json\n?? research/j3-coverage-2026-10-12/incremental.diff\n?? research/j3-coverage-2026-10-12/negative-budget-20744.h5\n?? research/j3-coverage-2026-10-12/negative-end-20760.h5\n?? research/j3-coverage-2026-10-12/restart-21280.h5\n?? research/j3-coverage-2026-10-12/restart-reference-21296.h5\n?? research/j3-coverage-2026-10-12/results.json\n?? research/j3-coverage-2026-10-12/verification.json\n?? research/j3-lag-2026-10-12/REVIEW.md\n?? research/j3-lag-2026-10-12/baseline-status.txt\n?? research/j3-lag-2026-10-12/baseline.json\n?? research/j3-lag-2026-10-12/end-21280.h5\n?? research/j3-lag-2026-10-12/incremental.diff\n?? research/j3-lag-2026-10-12/results.json\n?? research/j3-lag-2026-10-12/start-20760.h5\n?? research/j3-lag-2026-10-12/trajectory.h5\n?? research/j3-offline-2026-10-12/REVIEW.md\n?? research/j3-offline-2026-10-12/lags.csv\n?? research/j3-offline-2026-10-12/localization.png\n?? research/j3-offline-2026-10-12/regions.csv\n?? research/j3-offline-2026-10-12/results.json\n?? research/j3-reservoir-2026-10-12/REVIEW.md\n?? research/j3-reservoir-2026-10-12/baseline-status.txt\n?? research/j3-reservoir-2026-10-12/baseline.json\n?? research/j3-reservoir-2026-10-12/incremental.diff\n?? research/j3-reservoir-2026-10-12/results.json\n?? research/repair-2026-10-10/TRON_HANDOFF.md\n?? research/repair-2026-10-10/baseline-hashes.json\n?? research/repair-2026-10-10/baseline-status.txt\n?? research/repair-2026-10-10/checkpoint-domain-2026-10-12.diff\n?? research/repair-2026-10-10/classic-results.json\n?? research/repair-2026-10-10/classic-signals.npz\n?? research/repair-2026-10-10/original-user-files/src/CelerisLab/lbm/kernels/config/config_grid.h\n?? research/repair-2026-10-10/original-user-files/src/CelerisLab/lbm/kernels/config/config_method.h\n?? research/repair-2026-10-10/original-user-files/src/CelerisLab/lbm/kernels/config/config_objects.h\n?? research/repair-2026-10-10/original-user-files/src/CelerisLab/lbm/kernels/config/config_physics.h\n?? research/repair-2026-10-10/original-user-files/tests/postproc/experiment.ipynb\n?? research/repair-2026-10-10/provenance.json\n?? research/repair-2026-10-10/repair-architecture.md\n?? 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+  }
+}
diff --git a/research/refinement_prepare_20261013/incremental.patch b/research/refinement_prepare_20261013/incremental.patch
new file mode 100644
index 0000000..0ddb325
--- /dev/null
+++ b/research/refinement_prepare_20261013/incremental.patch
@@ -0,0 +1,317 @@
+diff --git a/src/CelerisLab/lbm/refinement.py b/src/CelerisLab/lbm/refinement.py
+new file mode 100644
+index 0000000..0a6f563
+--- /dev/null
++++ b/src/CelerisLab/lbm/refinement.py
+@@ -0,0 +1,138 @@
++"""CPU preparation for one fixed D2Q9 2:1 patch; no coupled stepper yet.
++
++Cell indices use y*nx+x; population slots use q*(nx*ny)+cell, matching
++core/layout.cuh. Bounds are half-open (x0, y0, x1, y1) in coarse cells.
++The four fine halo cells implement the pinned CPUREF volumetric geometry.
++Topology does not encode physical boundary conditions or obstacle safety.
++"""
++from dataclasses import dataclass, replace
++from numbers import Integral
++
++import numpy as np
++
++from ..config import LBMConfig
++from .descriptors import D2Q9_EX, D2Q9_EY
++
++ACTIVE, INNER_GHOST, OUTER_GHOST = 0, 1, 2
++HALO = 4
++
++
++def _readonly(values, dtype):
++    array = np.ascontiguousarray(values, dtype=dtype)
++    array.setflags(write=False)
++    return array
++
++
++@dataclass(frozen=True, eq=False)
++class FixedPatch2D:
++    """Layer metadata and compact exchange tables, constructed by from_config.
++
++    Shapes are (ny, nx), including the fine halo. ``fine_origin`` is its lower
++    cell edge in coarse physical units, with coarse dx=dt=1 and fine dx=dt=.5.
++    ``ghost_fine`` and ``ghost_coarse`` pair fine cells with coarse donors.
++    ``coalesce_coarse`` contains incoming population slots; each corresponding
++    row of ``coalesce_fine`` contains four fine slots in (dy, dx) row order.
++    Weights are all 1/4. Closed corner links are included even when the coarse
++    donor is uncovered. These tables contain no DDF data and allocate no GPU.
++
++    This is preparation, not permission to advance these levels with OneStep:
++    its channel boundaries and fused collision do not implement patch coupling.
++    """
++    coarse_shape: tuple[int, int]
++    bounds: tuple[int, int, int, int]
++    tau_coarse: float
++    tau_fine: float
++    fine_kind: np.ndarray
++    ghost_fine: np.ndarray
++    ghost_coarse: np.ndarray
++    coalesce_coarse: np.ndarray
++    coalesce_fine: np.ndarray
++
++    @classmethod
++    def from_config(cls, cfg: LBMConfig, bounds) -> "FixedPatch2D":
++        """Prepare maps without changing cfg or allocating coarse-sized tables.
++
++        The initial backend contract is D2Q9/SRT/FP32/unshifted/double_buffer,
++        without LES. Two coarse cells of margin keep all halo donors in bounds;
++        this does NOT certify that those donors are fluid or periodic.
++        """
++        checked = replace(cfg)
++        checked.validate()
++        if (not checked.is_d2q9 or checked.collision != "SRT"
++                or checked.streaming != "double_buffer"
++                or checked.store_precision != "FP32"
++                or checked.ddf_shifting or checked.les_enabled):
++            raise ValueError("FixedPatch2D requires D2Q9/SRT/FP32/unshifted/double_buffer without LES")
++        bounds = tuple(bounds)
++        if len(bounds) != 4 or any(isinstance(v, (bool, np.bool_))
++                                   or not isinstance(v, Integral) for v in bounds):
++            raise ValueError("bounds must be four integers: (x0, y0, x1, y1)")
++        x0, y0, x1, y1 = bounds = tuple(map(int, bounds))
++        nx, ny = checked.nx, checked.ny
++        if not (2 <= x0 < x1 <= nx - 2 and 2 <= y0 < y1 <= ny - 2):
++            raise ValueError("patch must be nonempty with a two-coarse-cell margin")
++        fx, fy = 2 * (x1 - x0) + 2 * HALO, 2 * (y1 - y0) + 2 * HALO
++        if max(nx * ny, fx * fy) > np.iinfo(np.uint32).max:
++            raise ValueError("layer cell counts exceed uint32 indexing")
++        tau_c = 3.0 * checked.viscosity + 0.5
++        tau_f = 6.0 * checked.viscosity + 0.5
++        if not checked.omega_min <= 1.0 / tau_f <= checked.omega_max:
++            raise ValueError("fine relaxation rate lies outside configured omega guards")
++
++        kind = np.full((fy, fx), OUTER_GHOST, dtype=np.uint8)
++        kind[2:-2, 2:-2] = INNER_GHOST
++        kind[HALO:-HALO, HALO:-HALO] = ACTIVE
++        gy, gx = np.nonzero(kind != ACTIVE)
++        ghost_fine = gy * fx + gx
++        ghost_coarse = (y0 + (gy - HALO) // 2) * nx + x0 + (gx - HALO) // 2
++
++        targets, sources = [], []
++        # Only the outside ring can receive fine-to-coarse populations.
++        # Integer doubled midpoints include all eight diagonal corner passes.
++        for y in range(y0 - 1, y1 + 1):
++            xs = range(x0 - 1, x1 + 1) if y in (y0 - 1, y1) else (x0 - 1, x1)
++            for x in xs:
++                for q in range(1, 9):
++                    mx, my = 2 * x + 1 - D2Q9_EX[q], 2 * y + 1 - D2Q9_EY[q]
++                    if 2 * x0 <= mx <= 2 * x1 and 2 * y0 <= my <= 2 * y1:
++                        targets.append(q * nx * ny + y * nx + x)
++                        a, b = HALO + 2 * (x - x0), HALO + 2 * (y - y0)
++                        sources.append([q * fx * fy + (b + dy) * fx + a + dx
++                                        for dy in (0, 1) for dx in (0, 1)])
++        return cls((ny, nx), bounds, tau_c, tau_f,
++                   _readonly(kind, np.uint8),
++                   _readonly(ghost_fine, np.uint32),
++                   _readonly(ghost_coarse, np.uint32),
++                   _readonly(targets, np.uint64),
++                   _readonly(sources, np.uint64).reshape(-1, 4))
++
++    @property
++    def fine_shape(self) -> tuple[int, int]:
++        return self.fine_kind.shape
++
++    @property
++    def fine_origin(self) -> tuple[float, float]:
++        return self.bounds[0] - HALO / 2, self.bounds[1] - HALO / 2
++
++    @property
++    def table_bytes(self) -> int:
++        return sum(a.nbytes for a in (self.fine_kind, self.ghost_fine,
++                                     self.ghost_coarse, self.coalesce_coarse,
++                                     self.coalesce_fine))
++
++    def check_synchronization(self, coarse_steps: int, fine_steps: int, *, phase: str) -> None:
++        """Check a proposed backend handoff; does not convert or collide data.
++
++        Production storage is g=C(f), while CPUREF returns arrival_f. A future
++        g-to-g coarse step must collide coarse cells once and fine cells twice;
++        fine halo ghosts never collide. Coalescence must precede coarse collision.
++        Converting reference f to g for comparison is an observation operation,
++        not an additional production collision. Counts here are completed steps.
++        """
++        if phase != "postcollision_g":
++            raise ValueError("patch backend handoff requires postcollision_g")
++        for value in (coarse_steps, fine_steps):
++            if isinstance(value, (bool, np.bool_)) or not isinstance(value, Integral) or value < 0:
++                raise ValueError("step counts must be nonnegative integers")
++        if fine_steps != 2 * coarse_steps:
++            raise ValueError("levels are not synchronized: fine_steps must equal 2*coarse_steps")
+diff --git a/tests/unit/test_refinement.py b/tests/unit/test_refinement.py
+new file mode 100644
+index 0000000..bfe8e74
+--- /dev/null
++++ b/tests/unit/test_refinement.py
+@@ -0,0 +1,167 @@
++"""CPU geometry/contracts only: no time stepping, CUDA or reference edits."""
++import hashlib
++import importlib.util
++from pathlib import Path
++import sys
++import unittest
++
++import numpy as np
++
++from CelerisLab.config import LBMConfig
++from CelerisLab.lbm import refinement
++from CelerisLab.lbm.descriptors import D2Q9_EX, D2Q9_EY
++from CelerisLab.lbm.refinement import ACTIVE, INNER_GHOST, OUTER_GHOST, FixedPatch2D
++
++ROOT = Path(__file__).resolve().parents[2]
++
++
++def config(**kwargs):
++    return LBMConfig(**dict(nx=16, ny=16, viscosity=.1, **kwargs))
++
++
++class FixedPatchTests(unittest.TestCase):
++    def test_source_and_cpu_import_boundary(self):
++        self.assertEqual(Path(refinement.__file__).resolve(),
++                         ROOT / "src/CelerisLab/lbm/refinement.py")
++        self.assertFalse(any(name == "pycuda" or name.startswith("pycuda.") for name in sys.modules))
++        self.assertNotIn("CelerisLab.simulation", sys.modules)
++        self.assertNotIn("CelerisLab.lbm.field", sys.modules)
++
++    def test_all_tables_match_pinned_reference_without_advancing(self):
++        path = ROOT / "tests/validation/multigrid/cpu_reference.py"
++        self.assertEqual(hashlib.sha256(path.read_bytes()).hexdigest(),
++                         "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e")
++        spec = importlib.util.spec_from_file_location("refinement_geometry_reference", path)
++        ref = importlib.util.module_from_spec(spec)
++        sys.modules[spec.name] = ref
++        spec.loader.exec_module(ref)
++        maps = ref.build_maps(ref.make_spec(collision="srt"))
++        p = FixedPatch2D.from_config(config(), (4, 4, 12, 12))
++        np.testing.assert_array_equal(p.fine_kind, maps.fine_class)
++        gy, gx = np.nonzero(~maps.fine_active)
++        np.testing.assert_array_equal(p.ghost_fine, gy * 24 + gx)
++        np.testing.assert_array_equal(p.ghost_coarse,
++                                      maps.fine_parent[gy] * 16 + maps.fine_parent[gx])
++        targets = [q * 256 + y * 16 + x for q, y, x in maps.coalesce]
++        sources = [[q * 576 + b * 24 + a
++                    for b in (4 + 2 * (y - 4), 5 + 2 * (y - 4))
++                    for a in (4 + 2 * (x - 4), 5 + 2 * (x - 4))]
++                   for q, y, x in maps.coalesce]
++        np.testing.assert_array_equal(p.coalesce_coarse, targets)
++        np.testing.assert_array_equal(p.coalesce_fine, sources)
++        self.assertEqual(len(targets), 100)
++        self.assertEqual(len(set(p.coalesce_fine.ravel().tolist())), 400)
++        self.assertEqual(np.count_nonzero(p.fine_kind == ACTIVE), 256)
++        self.assertEqual(len(p.ghost_fine), 320)
++        self.assertEqual(self.corner_pass_count(p), 8)
++
++    @staticmethod
++    def corner_pass_count(p):
++        ny, nx = p.coarse_shape
++        x0, y0, x1, y1 = p.bounds
++        count = 0
++        for slot in p.coalesce_coarse.tolist():
++            q, cell = divmod(slot, nx * ny)
++            y, x = divmod(cell, nx)
++            sx, sy = x - D2Q9_EX[q], y - D2Q9_EY[q]
++            count += not (x0 <= sx < x1 and y0 <= sy < y1)
++        return count
++
++    def test_rectangular_shifted_patch_against_geometric_definition(self):
++        p = FixedPatch2D.from_config(LBMConfig(nx=22, ny=18, viscosity=.1), (7, 6, 13, 10))
++        expected = set()
++        for y in range(18):
++            for x in range(22):
++                if 7 <= x < 13 and 6 <= y < 10:
++                    continue
++                for q, (cx, cy) in enumerate(zip(D2Q9_EX, D2Q9_EY)):
++                    if q and 7 <= x + .5 - cx / 2 <= 13 and 6 <= y + .5 - cy / 2 <= 10:
++                        expected.add(q * 22 * 18 + y * 22 + x)
++        self.assertEqual(set(p.coalesce_coarse.tolist()), expected)
++        self.assertEqual(p.fine_shape, (16, 20))
++        self.assertEqual(p.fine_origin, (5., 4.))
++        fy, fx = p.fine_shape
++        for coarse_slot, children in zip(p.coalesce_coarse.tolist(), p.coalesce_fine.tolist()):
++            q, cell = divmod(coarse_slot, 22 * 18)
++            y, x = divmod(cell, 22)
++            centers = []
++            for slot in children:
++                fq, fine_cell = divmod(slot, fy * fx)
++                b, a = divmod(fine_cell, fx)
++                self.assertEqual(fq, q)
++                self.assertEqual(p.fine_kind[b, a], INNER_GHOST)
++                centers.append((p.fine_origin[0] + (a + .5) / 2,
++                                p.fine_origin[1] + (b + .5) / 2))
++            np.testing.assert_array_equal(np.mean(centers, axis=0), (x + .5, y + .5))
++        self.assertEqual(self.corner_pass_count(p), 8)
++
++    def test_smallest_patch_and_extreme_halo_margin(self):
++        p = FixedPatch2D.from_config(LBMConfig(nx=5, ny=5, viscosity=.1), (2, 2, 3, 3))
++        self.assertEqual(p.fine_shape, (10, 10))
++        self.assertEqual(p.fine_origin, (0., 0.))
++        self.assertEqual((int(p.ghost_coarse.min()), int(p.ghost_coarse.max())), (0, 24))
++        self.assertEqual(np.count_nonzero(p.fine_kind == ACTIVE), 4)
++        self.assertEqual(self.corner_pass_count(p), 8)
++        self.assertTrue(np.all(p.fine_kind.ravel()[p.coalesce_fine % 100] == INNER_GHOST))
++
++    def test_config_and_level_scaling_are_isolated(self):
++        cfg = config()
++        before = vars(cfg).copy()
++        p = FixedPatch2D.from_config(cfg, (4, 4, 12, 12))
++        self.assertEqual(vars(cfg), before)
++        self.assertAlmostEqual(p.tau_coarse, .8)
++        self.assertAlmostEqual(p.tau_fine, 1.1)
++        self.assertAlmostEqual((p.tau_coarse - .5) / 3,
++                               (p.tau_fine - .5) / 3 * .5)
++        cfg.nx = 999
++        self.assertEqual(p.coarse_shape, (16, 16))
++
++    def test_tables_are_compact_contiguous_and_readonly(self):
++        small = FixedPatch2D.from_config(config(), (4, 4, 12, 12))
++        large = FixedPatch2D.from_config(LBMConfig(nx=512, ny=256, viscosity=.1), (4, 4, 12, 12))
++        self.assertEqual(small.table_bytes, large.table_bytes)
++        self.assertEqual(small.table_bytes, 7136)
++        for name, dtype in (("fine_kind", np.uint8), ("ghost_fine", np.uint32),
++                            ("ghost_coarse", np.uint32), ("coalesce_coarse", np.uint64),
++                            ("coalesce_fine", np.uint64)):
++            array = getattr(small, name)
++            self.assertEqual(array.dtype, dtype)
++            self.assertTrue(array.flags.c_contiguous)
++            with self.assertRaises(ValueError):
++                array.flat[0] = 0
++
++    def test_invalid_geometry_and_index_overflow_rejected_before_allocation(self):
++        for bounds in ((4, 4, 4, 12), (12, 4, 4, 12), (1, 4, 12, 12),
++                       (4, 4, 15, 12), (4., 4, 12, 12), (True, 4, 12, 12),
++                       (np.bool_(True), 4, 12, 12), (4, 4, 12)):
++            with self.subTest(bounds=bounds), self.assertRaises(ValueError):
++                FixedPatch2D.from_config(config(), bounds)
++        for nx, ny, bounds in ((2**32, 10, (2, 2, 3, 3)),
++                               (50000, 50000, (2, 2, 49998, 49998))):
++            with self.assertRaisesRegex(ValueError, "uint32"):
++                FixedPatch2D.from_config(LBMConfig(nx=nx, ny=ny, viscosity=.1), bounds)
++
++    def test_unsupported_backend_and_fine_relaxation_rejected(self):
++        for kwargs in ({"collision": "TRT"}, {"collision": "MRT"}, {"streaming": "esopull"},
++                       {"ddf_shifting": True}, {"les_enabled": True},
++                       {"store_precision": "FP16S"}, {"lattice_model": "D3Q19"},
++                       {"data_type": "FP64"}, {"omega_min": 1.0}):
++            cfg = config(**kwargs)
++            before = vars(cfg).copy()
++            with self.subTest(kwargs=kwargs), self.assertRaises(ValueError):
++                FixedPatch2D.from_config(cfg, (4, 4, 12, 12))
++            self.assertEqual(vars(cfg), before)
++
++    def test_handoff_rejects_wrong_phase_and_unsynchronized_counts(self):
++        p = FixedPatch2D.from_config(config(), (4, 4, 12, 12))
++        p.check_synchronization(0, 0, phase="postcollision_g")
++        p.check_synchronization(8, 16, phase="postcollision_g")
++        for c, f, phase in ((8, 16, "arrival_f"), (8, 15, "postcollision_g"),
++                             (-1, -2, "postcollision_g"), (1., 2, "postcollision_g"),
++                             (True, 2, "postcollision_g"), (1, np.bool_(True), "postcollision_g")):
++            with self.subTest(c=c, f=f, phase=phase), self.assertRaises(ValueError):
++                p.check_synchronization(c, f, phase=phase)
++
++
++if __name__ == "__main__":
++    unittest.main(verbosity=2)
diff --git a/research/refinement_prepare_20261013/manifest.json b/research/refinement_prepare_20261013/manifest.json
new file mode 100644
index 0000000..9fd94cc
--- /dev/null
+++ b/research/refinement_prepare_20261013/manifest.json
@@ -0,0 +1,59 @@
+{
+  "verified_utc": "2026-10-13T07:17:04.249396+00:00",
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "old_files_checked": 303,
+  "old_files_changed": [],
+  "old_git_status_entries_removed": [],
+  "only_authorized_new_paths": true,
+  "reference_sha256": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+  "tests_passed": 9,
+  "numerical_steps": 0,
+  "gpu_used": false,
+  "numerical_coupling_implemented": false,
+  "single_grid_path_modified": false,
+  "review": "Independent local subagent review completed; numerical coupling proposal awaits coordinating Claude/Grok joint review. Prior Claude local_stress code review remains incomplete.",
+  "new_files_except_this_manifest": [
+    {
+      "path": "research/refinement_prepare_20261013/README.txt",
+      "bytes": 8939,
+      "lines": 137,
+      "sha256": "eee46f01add6ed7a5da76da76c98da628e13b930cfc49785399d7afbedbfd95f"
+    },
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+      "path": "research/refinement_prepare_20261013/baseline.json",
+      "bytes": 46348,
+      "lines": 311,
+      "sha256": "5cc3c35faac9bb43a0017d83ddfca330d7da93f1e6407391da56b2e9df3b28b6"
+    },
+    {
+      "path": "research/refinement_prepare_20261013/incremental.patch",
+      "bytes": 15751,
+      "lines": 317,
+      "sha256": "df01345b8e2c33ebf6cdcbbb5104f02c4d7c239a6e6cafab1833228791bfa9a7"
+    },
+    {
+      "path": "research/refinement_prepare_20261013/validation.json",
+      "bytes": 3567,
+      "lines": 55,
+      "sha256": "945f4c3604ae0eae91c29741a39588207cfff3e05646e03a12d074a299956c2f"
+    },
+    {
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+      "bytes": 873,
+      "lines": 14,
+      "sha256": "5b5a8e9d455d37064c6709dcfd14e89ba66f51f09a11a9863b5cab67ac651d42"
+    },
+    {
+      "path": "src/CelerisLab/lbm/refinement.py",
+      "bytes": 6593,
+      "lines": 138,
+      "sha256": "554735c5613129eb29f339c6aeeb4f3a3bbc5aba67558be51fbf7c2fb6ac442a"
+    },
+    {
+      "path": "tests/unit/test_refinement.py",
+      "bytes": 8470,
+      "lines": 167,
+      "sha256": "90751142f920f1c5e988577a45afa94871a6617009cdc78323a87fc7795f4634"
+    }
+  ]
+}
diff --git a/research/refinement_prepare_20261013/validation.json b/research/refinement_prepare_20261013/validation.json
new file mode 100644
index 0000000..f057e7c
--- /dev/null
+++ b/research/refinement_prepare_20261013/validation.json
@@ -0,0 +1,55 @@
+{
+  "started_utc": "2026-10-13T07:13:02.579165+00:00",
+  "parent_command": [
+    "env",
+    "PYTHONPATH=/home/frank14f/CelerisLab/src",
+    "OPENBLAS_NUM_THREADS=1",
+    "PYTHONDONTWRITEBYTECODE=1",
+    "PYTHONNOUSERSITE=1",
+    "PYTHONOPTIMIZE=0",
+    "/usr/bin/prlimit",
+    "--as=268435456",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "-c",
+    "\nimport datetime,hashlib,importlib.metadata,json,os,resource,subprocess,sys,time\nfrom pathlib import Path\nroot=Path('/home/frank14f/CelerisLab'); e=root/'research/refinement_prepare_20261013'\nlimits=['/usr/bin/prlimit','--as=268435456','--fsize=2097152','--core=0','--']\nenv={k:os.environ[k] for k in ('PYTHONPATH','OPENBLAS_NUM_THREADS','PYTHONDONTWRITEBYTECODE','PYTHONNOUSERSITE','PYTHONOPTIMIZE')}\nassert env['PYTHONPATH']==str(root/'src')\nassert resource.getrlimit(resource.RLIMIT_AS)==(268435456,268435456)\nassert resource.getrlimit(resource.RLIMIT_FSIZE)==(2097152,2097152)\ncommand=limits+[sys.executable,'-B',str(root/'tests/unit/test_refinement.py')]\nresult={'started_utc':datetime.datetime.now(datetime.timezone.utc).isoformat(),'parent_command':['env']+[k+'='+v for k,v in env.items()]+limits+sys.orig_argv,'command':command,'cwd':str(root),'environment':env,'python':sys.version,'numpy':importlib.metadata.version('numpy'),'limits':{'address_space_bytes':268435456,'file_bytes':2097152,'core_bytes':0},'numerical_steps':0,'GPU_used':False,'kernel_source_read_only':str(root/'src/CelerisLab/lbm/kernels'),'source_sha256':hashlib.sha256((root/'src/CelerisLab/lbm/refinement.py').read_bytes()).hexdigest()}\nwith (e/'validation.txt').open('xb',buffering=0) as log:\n    start=time.monotonic()\n    run=subprocess.run(command,cwd=root,stdout=log,stderr=subprocess.STDOUT,check=False)\n    result.update(returncode=run.returncode,elapsed_seconds=time.monotonic()-start,child_peak_rss_MiB=resource.getrusage(resource.RUSAGE_CHILDREN).ru_maxrss/1024,parent_peak_rss_MiB=resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024,completed_utc=datetime.datetime.now(datetime.timezone.utc).isoformat())\nresult['stdout_bytes']=(e/'validation.txt').stat().st_size\nwith (e/'validation.json').open('x') as f:json.dump(result,f,indent=2);f.write('\\n')\nprint(json.dumps({k:v for k,v in result.items() if k not in ('parent_command','environment')},indent=2))\nassert result['stdout_bytes']<2097152\nsys.exit(run.returncode)\n"
+  ],
+  "command": [
+    "/usr/bin/prlimit",
+    "--as=268435456",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/unit/test_refinement.py"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONOPTIMIZE": "0"
+  },
+  "python": "3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]",
+  "numpy": "1.26.4",
+  "limits": {
+    "address_space_bytes": 268435456,
+    "file_bytes": 2097152,
+    "core_bytes": 0
+  },
+  "numerical_steps": 0,
+  "GPU_used": false,
+  "kernel_source_read_only": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels",
+  "source_sha256": "554735c5613129eb29f339c6aeeb4f3a3bbc5aba67558be51fbf7c2fb6ac442a",
+  "returncode": 0,
+  "elapsed_seconds": 0.2744845859706402,
+  "child_peak_rss_MiB": 36.00390625,
+  "parent_peak_rss_MiB": 18.5,
+  "completed_utc": "2026-10-13T07:13:02.866335+00:00",
+  "stdout_bytes": 873
+}
diff --git a/research/refinement_prepare_20261013/validation.txt b/research/refinement_prepare_20261013/validation.txt
new file mode 100644
index 0000000..594daa4
--- /dev/null
+++ b/research/refinement_prepare_20261013/validation.txt
@@ -0,0 +1,14 @@
+test_all_tables_match_pinned_reference_without_advancing (__main__.FixedPatchTests) ... ok
+test_config_and_level_scaling_are_isolated (__main__.FixedPatchTests) ... ok
+test_handoff_rejects_wrong_phase_and_unsynchronized_counts (__main__.FixedPatchTests) ... ok
+test_invalid_geometry_and_index_overflow_rejected_before_allocation (__main__.FixedPatchTests) ... ok
+test_rectangular_shifted_patch_against_geometric_definition (__main__.FixedPatchTests) ... ok
+test_smallest_patch_and_extreme_halo_margin (__main__.FixedPatchTests) ... ok
+test_source_and_cpu_import_boundary (__main__.FixedPatchTests) ... ok
+test_tables_are_compact_contiguous_and_readonly (__main__.FixedPatchTests) ... ok
+test_unsupported_backend_and_fine_relaxation_rejected (__main__.FixedPatchTests) ... ok
+
+----------------------------------------------------------------------
+Ran 9 tests in 0.072s
+
+OK
diff --git a/research/refinement_slot_20261013/baseline.json b/research/refinement_slot_20261013/baseline.json
new file mode 100644
index 0000000..d498081
--- /dev/null
+++ b/research/refinement_slot_20261013/baseline.json
@@ -0,0 +1,521 @@
+{
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "copy_dir": "/tmp/celeris-slot-baseline-008mfgni",
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+    "research/refinement_example_20261013/results.json": "8ab13bbc022f2a66898aa07ed94f43cb6716570e7a360a809b7fcd097316db7e",
+    "research/j3-reservoir-2026-10-12/gpu-availability-sandbox.log": "1d58470512e583a0acfabf6896ee5f31e5b493b8231aed54b864f64eb275b02c",
+    "research/j3-reservoir-2026-10-12/REVIEW.md": "1ea5f860728584ea6cbe40ba3994e40471102d8e2cf6d93e28fe47222cba0cab",
+    "research/j3-reservoir-2026-10-12/baseline-status.txt": "0ef1a8c9878c4053ebc1a7d4bace6d4ec38bf27ace167b4239ddbb1c6c897e20",
+    "research/j3-reservoir-2026-10-12/baseline.json": "847fefd1eae971985d34d04d89ee6d6f1c91f6940c54fe351d112faba7bc6838",
+    "research/j3-reservoir-2026-10-12/cpu.log": "b33f6c1a1b0ee67968c4cff85d491e46e30e0d6c796b552629714ab8b5dcead0",
+    "research/j3-reservoir-2026-10-12/gpu-validation.log": "ff04024db197e332f37c912a96413e3251fd0186947348ffbc33af6f4a899f2c",
+    "research/j3-reservoir-2026-10-12/results.json": "49685de7679a14860258abf1753aaa6d116ad709b868d907ddb40e74c9b845ea",
+    "research/j3-reservoir-2026-10-12/incremental.diff": "fae312831d71e46dd477a640b06ed927853a9e735d26bf9f5868927fa31cfa56"
+  },
+  "test_baseline_note": "Previous round manifest pins original test; delegate began edits before this snapshot."
+}
diff --git a/research/refinement_slot_20261013/before.json b/research/refinement_slot_20261013/before.json
new file mode 100644
index 0000000..430e76b
--- /dev/null
+++ b/research/refinement_slot_20261013/before.json
@@ -0,0 +1,8 @@
+{
+  "utc": "2026-10-13T11:02:08.062659+00:00",
+  "physical_device": 0,
+  "uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "gpus": "index, uuid, name, memory.used [MiB], memory.free [MiB], utilization.gpu [%]\n0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5 MiB, 16140 MiB, 0 %\n",
+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
+  "ram_available_bytes": 64039014400
+}
diff --git a/research/refinement_slot_20261013/cpu_results.json b/research/refinement_slot_20261013/cpu_results.json
new file mode 100644
index 0000000..4f6bc4d
--- /dev/null
+++ b/research/refinement_slot_20261013/cpu_results.json
@@ -0,0 +1,32 @@
+{
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "OPENBLAS_NUM_THREADS": "1"
+  },
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "commands": [
+    [
+      "-m",
+      "unittest",
+      "discover",
+      "-s",
+      "tests/unit",
+      "-p",
+      "test_refinement.py",
+      "-v"
+    ],
+    [
+      "tests/validation/multigrid/test_refinement_followup.py",
+      "FaultGuardsCPU",
+      "-v"
+    ]
+  ],
+  "exit_codes": [
+    0,
+    0
+  ],
+  "passed": 13,
+  "tool_output_summary": "Geometry tests: test_all_tables_match_pinned_reference_without_advancing, test_config_and_level_scaling_are_isolated, test_handoff_rejects_wrong_phase_and_unsynchronized_counts, test_invalid_geometry_and_index_overflow_rejected_before_allocation, test_rectangular_shifted_patch_against_geometric_definition, test_smallest_patch_and_extreme_halo_margin, test_source_and_cpu_import_boundary, test_tables_are_compact_contiguous_and_readonly, test_unsupported_backend_and_fine_relaxation_rejected: all OK. Ran 9 tests in 0.072s. Exit 0.\nFaultGuardsCPU: test_activation_failure_retains_resources_for_retry, test_boundary_mode_and_margin_contract, test_failed_download_blocks_read_and_step, test_kernel_contracts_reject_before_upload: all OK. Ran 4 tests in 0.020s. Exit 0.\nRecorded from tool output, not a second test run.\n"
+}
diff --git a/research/refinement_slot_20261013/incremental.patch b/research/refinement_slot_20261013/incremental.patch
new file mode 100644
index 0000000..67a3e8c
--- /dev/null
+++ b/research/refinement_slot_20261013/incremental.patch
@@ -0,0 +1,359 @@
+--- a/src/CelerisLab/lbm/refinement_stepper.py
++++ b/src/CelerisLab/lbm/refinement_stepper.py
+@@ -1,5 +1,5 @@
+ # CelerisLab/lbm/refinement_stepper.py
+-"""Opt-in fixed periodic patch backend; no Simulation/channel/objects adapter.
++"""Opt-in fixed patch backend; no Simulation/objects adapter.
+ 
+ The caller owns the CudaContext and must close this backend before that context.
+ Only synchronized postcollision_g leaf populations are public. No checkpoint,
+@@ -27,8 +27,12 @@
+     grid: tuple
+ 
+ 
+-class PeriodicPatchStepper:
+-    """D2Q9/SRT/FP32, one unforced 2:1 patch in a doubly periodic coarse box.
++class FixedPatchStepper:
++    """D2Q9/SRT/FP32, one unforced internal 2:1 patch in an x-periodic box.
++
++    ``coarse_boundary`` is ``periodic`` (default) or ``slot_reservoir``:
++    a bottom on-site slot and top fixed-density reservoir from ``cfg``.
++    Physical walls remain coarse; fine halo donors must be ordinary fluid.
+ 
+     ``initialize(coarse_g, fine_g)`` accepts physical Q-major (9,ny,nx) arrays
+     already in postcollision phase. It does not collide or build channel flags.
+@@ -36,10 +40,20 @@
+     On a device/launch failure the instance becomes unusable: close and recreate
+     it, rather than pretending the partially advanced fine buffer rolled back.
+     """
+-    def __init__(self, cfg, bounds, *, context):
++    def __init__(self, cfg, bounds, *, context, coarse_boundary="periodic"):
+         if HALO != 4:
+             raise RuntimeError("refinement.cu requires a four-cell fine halo")
++        if coarse_boundary not in ("periodic", "slot_reservoir"):
++            raise ValueError("coarse_boundary must be periodic or slot_reservoir")
+         self.patch = FixedPatch2D.from_config(cfg, bounds)
++        self._wall_aware = coarse_boundary == "slot_reservoir"
++        if self._wall_aware:
++            if (cfg.y_wall_bc != "on_site_velocity" or cfg.top_wall_bc != "reservoir"
++                    or cfg.velocity != 0 or not 2 <= cfg.wall_slot_width < cfg.nx):
++                raise ValueError("slot_reservoir requires on_site_velocity, reservoir, "
++                                 "velocity=0 and 2 <= wall_slot_width < nx")
++            if self.patch.bounds[1] < 4 or self.patch.bounds[3] > cfg.ny - 4:
++                raise ValueError("slot_reservoir requires y0 >= 4 and y1 <= ny-4")
+         self.ctx = context
+         self._lock = RLock()
+         self._status = "new"
+@@ -50,6 +64,9 @@
+         self._block = (cfg.threads_per_block, 1, 1)
+         fine_cfg = replace(cfg, nx=self.patch.fine_shape[1], ny=self.patch.fine_shape[0],
+                            viscosity=2 * cfg.viscosity)
++        if self._wall_aware:
++            fine_cfg = replace(fine_cfg, y_wall_bc="bounce_back", top_wall_bc="velocity",
++                               wall_slot_width=0, wall_normal_velocity=0.0, velocity=0.0)
+         with self.ctx.activate():
+             try:
+                 self._stream = cuda.Stream()
+@@ -102,7 +119,7 @@
+ 
+     def _require(self, *states):
+         if self._status not in states:
+-            raise RuntimeError(f"Periodic patch is {self._status}; expected {' or '.join(states)}")
++            raise RuntimeError(f"Fixed patch is {self._status}; expected {' or '.join(states)}")
+ 
+     @property
+     def step_count(self):
+@@ -111,10 +128,12 @@
+     def _mask_nonleaves(self, coarse, fine):
+         x0, y0, x1, y1 = self.patch.bounds
+         coarse[:, y0:y1, x0:x1] = np.nan
++        if self._wall_aware:
++            coarse[:, (0, -1), :] = np.nan
+         fine[:, self.patch.fine_kind != ACTIVE] = np.nan
+ 
+     def initialize(self, coarse_g, fine_g):
+-        """Upload an explicit periodic G_0; invalid non-leaves are discarded."""
++        """Upload an explicit G_0; invalid non-leaves are discarded."""
+         with self._lock, self.ctx.activate():
+             self._require("new", "ready")
+             arrays = [np.array(a, dtype=np.float32, order="C", copy=True)
+@@ -124,6 +143,8 @@
+             x0, y0, x1, y1 = self.patch.bounds
+             leaf = np.ones(self.patch.coarse_shape, dtype=bool)
+             leaf[y0:y1, x0:x1] = False
++            if self._wall_aware:
++                leaf[[0, -1]] = False
+             for array, mask in zip(arrays, (leaf, self.patch.fine_kind == ACTIVE)):
+                 if not np.isfinite(array[:, mask]).all() or (array[:, mask].sum(axis=0) <= 0).any():
+                     raise ValueError("Leaf populations must be finite with positive density")
+@@ -158,7 +179,8 @@
+                     f.kernel(f.spare, f.current, grid=f.grid, **kw)
+                     c.kernel(c.current, c.spare, f.current, self._targets, self._children,
+                              np.uint32(len(p.coalesce_coarse)),
+-                             *(np.uint32(v) for v in p.bounds), grid=c.grid, **kw)
++                             *(np.uint32(v) for v in p.bounds), np.uint32(self._wall_aware),
++                             grid=c.grid, **kw)
+                     self._stream.synchronize()
+                     c.current, c.spare = c.spare, c.current
+                     self._step_count += 1
+@@ -216,3 +238,7 @@
+         except Exception:
+             if exc[0] is None:
+                 raise
++
++
++# Preserve the original entry point and its periodic default.
++PeriodicPatchStepper = FixedPatchStepper
+--- a/src/CelerisLab/lbm/kernels/refinement.cu
++++ b/src/CelerisLab/lbm/kernels/refinement.cu
+@@ -1,4 +1,4 @@
+-// Fixed, unforced, doubly periodic 2:1 patch. Separate compilation entry;
++// Fixed, unforced internal 2:1 patch. Separate compilation entry;
+ // default OneStep/channel kernels are deliberately not included.
+ #include <stdint.h>
+ #include <math.h>
+@@ -10,6 +10,7 @@
+ #include "operators/macro.cuh"
+ #include "operators/collision_srt.cuh"
+ #include "streaming/pull_double_buffer.cuh"
++#include "boundary/planar_velocity.cuh"
+ 
+ #if DIM != 2 || NQ != 9 || COLLISION_MODEL != 0 || STORE_PRECISION != 0 || USE_DDF_SHIFTING || USE_LES || STREAMING_MODEL != 0
+ #error "Refinement requires unshifted FP32 D2Q9 SRT double buffers without LES"
+@@ -69,13 +70,15 @@
+ extern "C" __global__ void PatchCoarseStep(
+     const float* in, float* out, const float* fine,
+     const uint64_t* targets, const uint64_t* children, unsigned int count,
+-    unsigned int x0, unsigned int y0, unsigned int x1, unsigned int y1)
++    unsigned int x0, unsigned int y0, unsigned int x1, unsigned int y1,
++    unsigned int wall_aware)
+ {
+     unsigned int x, y; unsigned long k;
+     index_from_thread(x, y, k);
+     if (x >= NX || y >= NY) return;
+     // Both buffers were poisoned at initialization; covered cells stay invalid.
+     if (x >= x0 && x < x1 && y >= y0 && y < y1) return;
++    if (wall_aware && (y == 0 || y == NY - 1)) return;
+     unsigned long j[NQ];
+     compute_neighbors(x, y, j);
+     float f[NQ];
+@@ -100,6 +103,10 @@
+     }
+     // Includes the eight grazing-corner links with UNCOVERED coarse donors.
+     // All replacement arrivals must be in place before computing rho/u.
++    if (wall_aware) {
++        if (y == 1) reconstruct_bottom_velocity(f, 0.0f, bottom_wall_normal_velocity(x));
++        else if (y == NY - 2) reconstruct_top_reservoir(f, RHO);
++    }
+     patch_collide(f, k);
+     stream_pull_store(k, f, out);
+ }
+--- a/tests/validation/multigrid/test_refinement_followup.py
++++ b/tests/validation/multigrid/test_refinement_followup.py
+@@ -1,10 +1,11 @@
+-"""Only review gaps: CPU fault guards, normal-build seed1/8 and rectangle/1.
++"""Bounded fixed-patch checks: fault guards, periodic geometry and coarse slot BC.
+ 
+ Use the existing bounded runner/environment; no audit-build rerun. The scalar
+-rectangle oracle covers one interval, not a second general-purpose reference.
++oracle covers the fixed tau pair and two boundary modes used by these cases.
+ """
+ from contextlib import nullcontext
+ from dataclasses import replace
++import json
+ from pathlib import Path
+ import resource
+ from threading import RLock
+@@ -21,8 +22,8 @@
+                                  PeriodicPatchStepper)
+ 
+ 
+-def scalar_interval(coarse, fine, bounds):
+-    """Independent G→G single interval, geometric links, no production tables."""
++def scalar_interval(coarse, fine, bounds, slot=None):
++    """Independent G→G interval; optional (amplitude, width) bottom slot/top rho=1."""
+     _, ny, nx = coarse.shape
+     _, fy, fx = fine.shape
+     x0, y0, x1, y1 = bounds
+@@ -53,7 +54,7 @@
+     result = np.full(coarse.shape, np.nan)
+     for y in range(ny):
+         for x in range(nx):
+-            if x0 <= x < x1 and y0 <= y < y1:
++            if (x0 <= x < x1 and y0 <= y < y1) or (slot is not None and y in (0, ny-1)):
+                 continue
+             values = []
+             for q in range(9):
+@@ -64,11 +65,45 @@
+                 else:
+                     value = coarse[q, (y-cy[q]) % ny, (x-cx[q]) % nx]
+                 values.append(value)
++            if slot is not None and y == 1:
++                amplitude, width = slot
++                s = 2*((x+.5)-nx/2)/width
++                v = amplitude * max(0.0, 1-s*s)**2
++                rho = (values[0]+values[1]+values[2]
++                       + 2*(values[4]+values[6]+values[7]))/(1-v)
++                values[3] = values[4] + 2*rho*v/3
++                values[5] = values[6] + (values[2]-values[1])/2 + rho*v/6
++                values[8] = values[7] + (values[1]-values[2])/2 + rho*v/6
++            elif slot is not None and y == ny-2:
++                jy = values[0]+values[1]+values[2]+2*(values[3]+values[5]+values[8])-1
++                values[4] = values[3] - 2*jy/3
++                values[6] = values[5] + (values[1]-values[2])/2 - jy/6
++                values[7] = values[8] + (values[2]-values[1])/2 - jy/6
+             result[:, y, x] = collide(values, .8)
+     return result, current
+ 
+ 
+ class FaultGuardsCPU(unittest.TestCase):
++    def test_boundary_mode_and_margin_contract(self):
++        cfg = LBMConfig(nx=32, ny=24, viscosity=.1, velocity=0, wall_normal_velocity=.001,
++                        wall_slot_width=8, y_wall_bc="on_site_velocity", top_wall_bc="reservoir")
++        context = Mock()
++        context.activate.side_effect = RuntimeError("validated before CUDA")
++        for mode, bounds in (("unknown", (12, 4, 20, 10)),
++                             ("slot_reservoir", (12, 3, 20, 10)),
++                             ("slot_reservoir", (12, 4, 20, 21))):
++            with self.subTest(mode=mode, bounds=bounds):
++                with self.assertRaises(ValueError):
++                    implementation.FixedPatchStepper(cfg, bounds, context=context, coarse_boundary=mode)
++                context.activate.assert_not_called()
++        # Both exact channel limits and the original periodic two-cell margin
++        # must reach context activation, with no allocation or device required.
++        for mode, bounds in (("slot_reservoir", (12, 4, 20, 20)),
++                             ("periodic", (2, 2, 6, 5))):
++            with self.subTest(mode=mode, bounds=bounds):
++                with self.assertRaisesRegex(RuntimeError, "validated before CUDA"):
++                    implementation.FixedPatchStepper(cfg, bounds, context=context, coarse_boundary=mode)
++
+     def fake_backend(self):
+         backend = PeriodicPatchStepper.__new__(PeriodicPatchStepper)
+         backend.ctx = Mock(activate=nullcontext)
+@@ -145,6 +180,126 @@
+     def tearDown(self):
+         rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
+         print(f"host_peak_rss={rss:.3f} MiB", flush=True)
++
++    def test_slot_reservoir_eight_steps(self):
++        nx, ny, bounds, amplitude, width = 32, 24, (12, 4, 20, 10), .001, 8
++        x0, y0, x1, y1 = bounds
++        fx, fy = 2*(x1-x0)+8, 2*(y1-y0)+8
++        cfg = LBMConfig(nx=nx, ny=ny, viscosity=.1, velocity=0, rho=1,
++                        wall_normal_velocity=amplitude, wall_slot_width=width,
++                        y_wall_bc="on_site_velocity", top_wall_bc="reservoir")
++        cx = np.array((0, 1, -1, 0, 0, 1, -1, 1, -1))
++        cy = np.array((0, 0, 0, 1, -1, 1, -1, -1, 1))
++        weights = np.array((4/9, 1/9, 1/9, 1/9, 1/9, 1/36, 1/36, 1/36, 1/36))
++
++        def slot_velocity(x):
++            return amplitude * np.maximum(0, 1-(2*(x-nx/2)/width)**2)**2
++
++        def equilibrium(shape, origin, dx):
++            ys = origin[1] + dx*(np.arange(shape[0])+.5)
++            xs = origin[0] + dx*(np.arange(shape[1])+.5)
++            v = slot_velocity(xs)[None, :] * (1-(ys[:, None]-1.5)/(ny-3))
++            cu = cy[:, None, None] * v
++            return np.array(weights[:, None, None]*(1+3*cu+4.5*cu*cu-1.5*v*v), np.float32)
++
++        coarse_leaf = np.ones((ny, nx), bool)
++        coarse_leaf[[0, -1]] = False
++        coarse_leaf[y0:y1, x0:x1] = False
++        fine_leaf = np.zeros((fy, fx), bool)
++        fine_leaf[4:-4, 4:-4] = True
++        initial = [equilibrium((ny, nx), (0, 0), 1),
++                   equilibrium((fy, fx), (x0-2, y0-2), .5)]
++        initial[0][:, ~coarse_leaf] = np.nan
++        initial[1][:, ~fine_leaf] = np.nan
++        # A postcollision zero-mass/zero-momentum perturbation at a grazing
++        # source distinguishes closed-corner coupling from ordinary coarse pull.
++        initial[0][[5, 6], y0-1, x0] += 1e-5
++        initial[0][[7, 8], y0-1, x0] -= 1e-5
++        expected = tuple(a.astype(np.float64) for a in initial)
++
++        def discrete_mass(arrays):
++            return (arrays[0][:, coarse_leaf].sum(dtype=np.float64)
++                    + .25*arrays[1][:, fine_leaf].sum(dtype=np.float64))
++
++        # Observe the actual generated headers, without changing generation or
++        # compilation. In particular the fine module must have slot BC disabled.
++        generated = []
++        generate = compiler.generate_config
++
++        def record_config(*args, **kwargs):
++            build = generate(*args, **kwargs)
++            metadata = json.loads((Path(build)/".celeris-build").read_text())
++            definitions = {}
++            for line in (Path(build)/"config/config_method.h").read_text().splitlines():
++                parts = line.split()
++                if len(parts) == 3 and parts[0] == "#define":
++                    definitions[parts[1]] = parts[2]
++            generated.append((metadata["config"], definitions))
++            return build
++
++        max_error = max_bc_error = 0.0
++        with CudaContext(0) as context:
++            with patch.object(compiler, "generate_config", side_effect=record_config):
++                backend = implementation.FixedPatchStepper(cfg, bounds, context=context,
++                                                            coarse_boundary="slot_reservoir")
++            with backend:
++                self.assertEqual(len(generated), 2)
++                fine_config, fine_defines = generated[1]
++                self.assertEqual((fine_config["nx"], fine_config["ny"]), (fx, fy))
++                for name in ("Y_WALL_BC", "TOP_WALL_BC", "WALL_SLOT_WIDTH",
++                             "WALL_NORMAL_VELOCITY", "TOP_WALL_NORMAL_VELOCITY"):
++                    self.assertEqual(float(fine_defines[name].removesuffix("f")), 0, name)
++                self.assertEqual(int(generated[0][1]["Y_WALL_BC"]), 2)
++                self.assertEqual(int(generated[0][1]["TOP_WALL_BC"]), 1)
++                # Independently derive all target links, including the eight
++                # whose coarse sources are uncovered, from physical midpoints.
++                targets, corners = set(), set()
++                for y, x in np.argwhere(coarse_leaf):
++                    for q in range(1, 9):
++                        if x0 <= x+.5-cx[q]/2 <= x1 and y0 <= y+.5-cy[q]/2 <= y1:
++                            target = q*nx*ny+y*nx+x
++                            targets.add(target)
++                            sx, sy = x-cx[q], y-cy[q]
++                            if not (x0 <= sx < x1 and y0 <= sy < y1):
++                                corners.add(target)
++                self.assertEqual(len(corners), 8)
++                self.assertEqual(set(backend.patch.coalesce_coarse.tolist()), targets)
++                backend.initialize(*initial)
++                before = discrete_mass(initial)
++                for step in range(1, 9):
++                    expected = scalar_interval(*expected, bounds, slot=(amplitude, width))
++                    backend.step()
++                    self.assertEqual(backend.step_count, step)
++                    raw = [np.empty(a.shape, np.float32) for a in initial]
++                    for level, array in zip(backend._levels, raw):
++                        cuda.memcpy_dtoh(array, level.current)
++                    # Read raw storage before masking: active NaNs cannot be
++                    # hidden by the public download's non-leaf cleanup.
++                    self.assertTrue(np.isfinite(raw[0][:, coarse_leaf]).all())
++                    self.assertTrue(np.isfinite(raw[1][:, fine_leaf]).all())
++                    self.assertTrue(np.isnan(raw[0][:, ~coarse_leaf]).all())
++                    for got, want in zip(raw, expected):
++                        np.testing.assert_array_equal(np.isnan(got), np.isnan(want))
++                        max_error = max(max_error, float(np.nanmax(np.abs(got-want))))
++                    self.assertLessEqual(max_error, POP_ATOL)
++                    public = backend.download()
++                    np.testing.assert_array_equal(public[0], raw[0])
++                    np.testing.assert_array_equal(public[1][:, fine_leaf], raw[1][:, fine_leaf])
++                    self.assertTrue(np.isnan(public[1][:, ~fine_leaf]).all())
++                    walls = raw[0][:, [1, ny-2], :].astype(np.float64)
++                    rho = walls.sum(axis=0)
++                    ux = np.einsum("q,qyx->yx", cx, walls)/rho
++                    vy = np.einsum("q,qyx->yx", cy, walls)/rho
++                    max_bc_error = max(max_bc_error, float(np.abs(ux).max()),
++                                       float(np.abs(vy[0]-slot_velocity(np.arange(nx)+.5)).max()),
++                                       float(np.abs(rho[1]-1).max()))
++                    self.assertLessEqual(max_bc_error, 2e-6)
++                change = discrete_mass(raw)-before
++                bottom_flux, top_flux = (rho*vy).sum(axis=1)
++        print(f"slot/reservoir steps=8 max_population={max_error:.9g} "
++              f"max_BC_error={max_bc_error:.9g} discrete_leaf_mass_change={change:+.9g} "
++              f"final_sum_rho_v_bottom={bottom_flux:.9g} top={top_flux:.9g}; "
++              "raw halos/corners/fine BC isolation PASS", flush=True)
+ 
+     def test_nonequilibrium_seed1_eight_steps(self):
+         spec = ref.make_spec(collision="srt")
diff --git a/research/refinement_slot_20261013/manifest.json b/research/refinement_slot_20261013/manifest.json
new file mode 100644
index 0000000..6515458
--- /dev/null
+++ b/research/refinement_slot_20261013/manifest.json
@@ -0,0 +1,65 @@
+{
+  "baseline_files_checked": 514,
+  "required_files_unchanged": 511,
+  "changed_files": [
+    "src/CelerisLab/lbm/refinement_stepper.py",
+    "src/CelerisLab/lbm/kernels/refinement.cu",
+    "tests/validation/multigrid/test_refinement_followup.py"
+  ],
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diff --git a/research/refinement_slot_20261013/notes.txt b/research/refinement_slot_20261013/notes.txt
new file mode 100644
index 0000000..08a713b
--- /dev/null
+++ b/research/refinement_slot_20261013/notes.txt
@@ -0,0 +1,10 @@
+Scope: approved A, coarse slot/reservoir with an internal fixed patch. Only the three files in incremental.patch changed; all other baseline files retain their hashes. No dependencies installed, no DynamisLab access, no commit/push.
+API: FixedPatchStepper(cfg, bounds, context=ctx, coarse_boundary="slot_reservoir"). PeriodicPatchStepper remains an alias with periodic default.
+Order: coarse pull -> coalescence -> existing planar BC -> collision. Fine retains four-cell halo and no physical BC. Fine coarse-only settings are neutralized. Wall-aware patch requires y0>=4, y1<=ny-4; periodic margin2 unchanged. Covered coarse, outside-wall rows and fine halo are not public leaves.
+References consulted before implementation/design: ref/lbmpy/src/lbmpy/relaxationrates.py:61 (acoustic tau scaling); ref/palabos/src/multiGrid/multiGridGenerator2D.hh:190 (two fine substeps); existing boundary/planar_velocity.cuh closures reused unchanged.
+Validation: 13 CPU tests; prescribed 32x24, bounds(12,4,20,10), W8/A1e-3, tau0.8/1.1, 8 coarse/16 fine steps against independent scalar FP64 G-to-G reference; one existing 17x13 margin2 rectangular periodic step. No old eight-step matrix rerun. Both GPU cases in one job after fresh GPU0 UUID/occupancy/RAM precheck, exact command and resource monitor in results.json.
+Population tolerance fixed in advance 3e-6, BC tolerance 2e-6; measured maxima 1.78241457e-7 and 2.21654773e-7. Periodic max error 1.14050047e-7. Raw arrays/NaN masks, eight corner links, actual fine generated macros and public leaves checked. No active NaN hidden by masks.
+Open-domain discrete leaf mass change +0.0309633738; final summed bottom/top rho*v 0.00426894613/0.000960694626. This is reporting, not an assertion of constant mass or proof of global discrete flux balance. Coarse owns the nozzle; no wall-touching fine patch, steady jet or convergence claim.
+Two read-only agent reviews found no blocker; oracle uses independent scalar transport/collision and the same analytic BC model, plus independent macro checks.
+Baseline provenance: production snapshots taken before edits. Test edits began before snapshot; test baseline reconstructed from delegate's exact edits and matches prior example manifest SHA256 d2df924dfd5267e732036c6df27bb8809f59f1d371da75f506c67aad5997f322. Prior evidence retained unchanged.
+Resources: live RAM/VRAM reserves, no fixed 256MiB RSS cap; combined temporary budget 2,000,000,000 bytes. Peak monitored temporary bytes 1,548,161; GPU job exit0. All task-owned compilation scratch and baseline copies removed after diff; monitor is sampled, not an OS hard limit.
diff --git a/research/refinement_slot_20261013/results.json b/research/refinement_slot_20261013/results.json
new file mode 100644
index 0000000..03e6830
--- /dev/null
+++ b/research/refinement_slot_20261013/results.json
@@ -0,0 +1,34 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_followup.py",
+    "NormalBuildGPU.test_slot_reservoir_eight_steps",
+    "NormalBuildGPU.test_offcenter_rectangle_margin_two_one_step",
+    "-v"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "TMPDIR": "/tmp/celeris-slot-run-w08ggv2y"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 4.192506395978853,
+  "peak_sampled_group_rss_bytes": 292327424,
+  "min_ram_available_bytes": 63762022400,
+  "min_gpu_free_mib": 15826,
+  "ram_reserve_bytes": 6403901440,
+  "vram_reserve_mib": 1614,
+  "peak_combined_temporary_bytes": 1548161,
+  "temporary_budget_bytes": 2000000000,
+  "termination_reason": null,
+  "monitor": "Own process group RSS recorded, not capped; live RAM/VRAM headroom and temp bytes sampled, not OS hard limits"
+}
diff --git a/research/refinement_slot_20261013/stdout.txt b/research/refinement_slot_20261013/stdout.txt
new file mode 100644
index 0000000..d57b917
--- /dev/null
+++ b/research/refinement_slot_20261013/stdout.txt
@@ -0,0 +1,11 @@
+test_slot_reservoir_eight_steps (__main__.NormalBuildGPU) ... slot/reservoir steps=8 max_population=1.78241457e-07 max_BC_error=2.21654773e-07 discrete_leaf_mass_change=+0.0309633738 final_sum_rho_v_bottom=0.00426894613 top=0.000960694626; raw halos/corners/fine BC isolation PASS
+host_peak_rss=184.383 MiB
+ok
+test_offcenter_rectangle_margin_two_one_step (__main__.NormalBuildGPU) ... normal rectangle 17x13 bounds=(2, 2, 6, 5) fine=16x14 steps=1: max_population=1.14050047e-07 device_arrays=35288; halo/stride PASS
+host_peak_rss=190.262 MiB
+ok
+
+----------------------------------------------------------------------
+Ran 2 tests in 3.892s
+
+OK
diff --git a/research/refinement_slot_followup_20261013/baseline.json b/research/refinement_slot_followup_20261013/baseline.json
new file mode 100644
index 0000000..89a26ce
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/baseline.json
@@ -0,0 +1,527 @@
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diff --git a/research/refinement_slot_followup_20261013/before.json b/research/refinement_slot_followup_20261013/before.json
new file mode 100644
index 0000000..e707df1
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/before.json
@@ -0,0 +1,8 @@
+{
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+  "compute_apps": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
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+}
diff --git a/research/refinement_slot_followup_20261013/incremental.patch b/research/refinement_slot_followup_20261013/incremental.patch
new file mode 100644
index 0000000..c6f6fa1
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/incremental.patch
@@ -0,0 +1,10 @@
+--- a/src/CelerisLab/lbm/refinement_stepper.py
++++ b/src/CelerisLab/lbm/refinement_stepper.py
+@@ -32,6 +32,7 @@
+ 
+     ``coarse_boundary`` is ``periodic`` (default) or ``slot_reservoir``:
+     a bottom on-site slot and top fixed-density reservoir from ``cfg``.
++    Periodic mode does not apply the wall/slot boundary fields in ``cfg``.
+     Physical walls remain coarse; fine halo donors must be ordinary fluid.
+ 
+     ``initialize(coarse_g, fine_g)`` accepts physical Q-major (9,ny,nx) arrays
diff --git a/research/refinement_slot_followup_20261013/manifest.json b/research/refinement_slot_followup_20261013/manifest.json
new file mode 100644
index 0000000..4840243
--- /dev/null
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+  "exit_code": 0,
+  "helper_sha256": "0b2f9e0bd483c199637e5672dc0ffc460bc383dd1804805befbeb4c5d8c708d1",
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+      "sha256": "0b2f9e0bd483c199637e5672dc0ffc460bc383dd1804805befbeb4c5d8c708d1"
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+    },
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+      "bytes": 1549,
+      "sha256": "c04644a287aa936c9c6de0ca9d8bd83cee2d80aab9544ca284c9f7c029bfeff9"
+    },
+    "research/refinement_slot_followup_20261013/stdout.txt": {
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+      "sha256": "acb72f2b14e1abfe750330d84a38afe9bbe944bf028dde9700a291d5edff4be4"
+    },
+    "research/refinement_slot_followup_20261013/results.json": {
+      "bytes": 1050,
+      "sha256": "dc38c3f5f88fac2ebf49be11df84e9f3da9d25504d400b6a506240a91735e4e1"
+    }
+  }
+}
diff --git a/research/refinement_slot_followup_20261013/notes.txt b/research/refinement_slot_followup_20261013/notes.txt
new file mode 100644
index 0000000..4b77583
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/notes.txt
@@ -0,0 +1,7 @@
+Final followup closure: only one documentation line added, explicitly stating that periodic mode does not apply wall/slot boundary fields. Numerical code, helper, defaults, tolerances and tests are unchanged.
+Full test_refinement_followup.py invoked once without selectors, via real production compilation. 7 tests passed (4 CPU guards, 3 GPU cases), exit0. stdout.txt is the unmodified merged stdout/stderr stream directly redirected from the test process, not reconstructed text.
+GPU cases: periodic nonequilibrium seed1 eight steps max_population=1.67235548e-7; rectangular one step=1.14050047e-7; slot/reservoir eight steps=1.78241457e-7 and max_BC_error=2.21654773e-7. No other numerical cases/matrices rerun.
+Fresh device UUID, utilization, VRAM, compute-apps and available RAM captured before launch in before.json. Command/environment/exit/resource samples in results.json; no fixed RSS cap or precompilation bypass. PYTHONPATH explicitly selects /home/frank14f/CelerisLab/src.
+Unmodified actual helper copied byte-for-byte to planar_velocity.cuh; hashes in planar_velocity.sha256. No BC source edits.
+Combined temporary files plus existing refinement evidence peaked at 1,864,916 bytes (below 2,000,000,000). Own temporary compilation tree, baseline copy and runner removed after final diff. Prior dirty tree and historical evidence retained. No DynamisLab, dependency/environment/system edits, commit or push.
+Short correctness coverage only: nozzle remains coarse; no new steady jet, convergence or open-domain global flux balance claim.
diff --git a/research/refinement_slot_followup_20261013/planar_velocity.cuh b/research/refinement_slot_followup_20261013/planar_velocity.cuh
new file mode 100644
index 0000000..87db746
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/planar_velocity.cuh
@@ -0,0 +1,44 @@
+// On-site D2Q9 Zou-He velocity closure, paired lattice ordering.
+// Input is poststream f at the arrival time. Only unknown populations change;
+// the caller owns collision/store. No force, shifting or off-lattice walls.
+#ifndef CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
+#define CELERIS_BOUNDARY_PLANAR_VELOCITY_CUH
+
+__device__ __forceinline__ float bottom_wall_normal_velocity(unsigned int x)
+{
+#if WALL_SLOT_WIDTH > 0 && WALL_SLOT_WIDTH < NX
+    // C1 compact profile centered at (NX-1)/2; amplitude is its continuous peak.
+    const float s = (2.0f*(float)x-(float)(NX-1))/(float)WALL_SLOT_WIDTH;
+    const float w = fmaxf(0.0f, 1.0f-s*s);
+    return WALL_NORMAL_VELOCITY*w*w;
+#else
+    return WALL_NORMAL_VELOCITY; // Disabled or explicitly uniform full width.
+#endif
+}
+
+__device__ __forceinline__ void reconstruct_bottom_velocity(float* f, float u, float v)
+{
+    const float rho = (f[0] + f[1] + f[2] + 2.0f*(f[4] + f[6] + f[7])) / (1.0f-v);
+    f[3] = f[4] + (2.0f/3.0f)*rho*v;
+    f[5] = f[6] + 0.5f*(f[2]-f[1]) + 0.5f*rho*u + (1.0f/6.0f)*rho*v;
+    f[8] = f[7] + 0.5f*(f[1]-f[2]) - 0.5f*rho*u + (1.0f/6.0f)*rho*v;
+}
+
+__device__ __forceinline__ void reconstruct_top_velocity(float* f, float u, float v)
+{
+    const float rho = (f[0] + f[1] + f[2] + 2.0f*(f[3] + f[5] + f[8])) / (1.0f+v);
+    f[4] = f[3] - (2.0f/3.0f)*rho*v;
+    f[6] = f[5] + 0.5f*(f[1]-f[2]) - 0.5f*rho*u - (1.0f/6.0f)*rho*v;
+    f[7] = f[8] + 0.5f*(f[2]-f[1]) + 0.5f*rho*u - (1.0f/6.0f)*rho*v;
+}
+
+// Fixed top density and tangential u=0; positive Cartesian v exits upward.
+// J_y=rho*v follows from known poststream populations (ordinary D2Q9).
+__device__ __forceinline__ void reconstruct_top_reservoir(float* f, float rho)
+{
+    const float jy = f[0]+f[1]+f[2]+2.0f*(f[3]+f[5]+f[8])-rho;
+    f[4] = f[3] - (2.0f/3.0f)*jy;
+    f[6] = f[5] + 0.5f*(f[1]-f[2]) - (1.0f/6.0f)*jy;
+    f[7] = f[8] + 0.5f*(f[2]-f[1]) - (1.0f/6.0f)*jy;
+}
+#endif
diff --git a/research/refinement_slot_followup_20261013/planar_velocity.sha256 b/research/refinement_slot_followup_20261013/planar_velocity.sha256
new file mode 100644
index 0000000..6694c4a
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/planar_velocity.sha256
@@ -0,0 +1,2 @@
+0b2f9e0bd483c199637e5672dc0ffc460bc383dd1804805befbeb4c5d8c708d1  src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh
+0b2f9e0bd483c199637e5672dc0ffc460bc383dd1804805befbeb4c5d8c708d1  research/refinement_slot_followup_20261013/planar_velocity.cuh
diff --git a/research/refinement_slot_followup_20261013/results.json b/research/refinement_slot_followup_20261013/results.json
new file mode 100644
index 0000000..6ef6eda
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/results.json
@@ -0,0 +1,31 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_followup.py"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "TMPDIR": "/tmp/celeris-slot-final-run-e1k5hxjw"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 6.951829997007735,
+  "peak_sampled_group_rss_bytes": 293773312,
+  "min_ram_available_bytes": 63788609536,
+  "min_gpu_free_mib": 15826,
+  "ram_reserve_bytes": 6405336678,
+  "vram_reserve_mib": 1614,
+  "peak_combined_temporary_and_refinement_evidence_bytes": 1864916,
+  "temporary_budget_bytes": 2000000000,
+  "termination_reason": null,
+  "monitor": "Own process group RSS recorded, not capped; live RAM/VRAM and temp bytes sampled, not OS hard limits"
+}
diff --git a/research/refinement_slot_followup_20261013/stdout.txt b/research/refinement_slot_followup_20261013/stdout.txt
new file mode 100644
index 0000000..4618603
--- /dev/null
+++ b/research/refinement_slot_followup_20261013/stdout.txt
@@ -0,0 +1,18 @@
+test_activation_failure_retains_resources_for_retry (__main__.FaultGuardsCPU) ... ok
+test_boundary_mode_and_margin_contract (__main__.FaultGuardsCPU) ... ok
+test_failed_download_blocks_read_and_step (__main__.FaultGuardsCPU) ... ok
+test_kernel_contracts_reject_before_upload (__main__.FaultGuardsCPU) ... ok
+test_nonequilibrium_seed1_eight_steps (__main__.NormalBuildGPU) ... normal seed1 steps=8: max_population=1.67235548e-07 max_leaf_drift=2.23806128e-05 max_leaf_error=2.20813948e-05
+host_peak_rss=185.887 MiB
+ok
+test_offcenter_rectangle_margin_two_one_step (__main__.NormalBuildGPU) ... normal rectangle 17x13 bounds=(2, 2, 6, 5) fine=16x14 steps=1: max_population=1.14050047e-07 device_arrays=35288; halo/stride PASS
+host_peak_rss=190.754 MiB
+ok
+test_slot_reservoir_eight_steps (__main__.NormalBuildGPU) ... slot/reservoir steps=8 max_population=1.78241457e-07 max_BC_error=2.21654773e-07 discrete_leaf_mass_change=+0.0309633738 final_sum_rho_v_bottom=0.00426894613 top=0.000960694626; raw halos/corners/fine BC isolation PASS
+host_peak_rss=191.754 MiB
+ok
+
+----------------------------------------------------------------------
+Ran 7 tests in 6.591s
+
+OK
diff --git a/research/refinement_step_20261013/README.txt b/research/refinement_step_20261013/README.txt
new file mode 100644
index 0000000..88d6f24
--- /dev/null
+++ b/research/refinement_step_20261013/README.txt
@@ -0,0 +1,162 @@
+Fixed periodic 2:1 coupled backend — bounded implementation, 2026-10-13
+
+Decision: A, directional arrival override between coarse pull and collision.
+Implemented and locally checked; no Simulation/Jet/general-AMR integration.
+Default single-grid source files, existing geometry and all prior evidence are
+unchanged. This increment adds 312 production lines and 222 test lines only.
+
+A/B comparison against the active tree
+  OneStep currently pulls, applies channel BC, computes moments, collides, and
+  stores. LBMStepper runs Curved before OneStep, immediately swaps after launch,
+  then runs force/sensor readers. LBMField macros/snapshot read current data;
+  checkpoint saves BOTH current and spare buffers without a phase guard.
+  All-FLUID flags do not remove OneStep's y=1/NY-2 wall correction. InitTubeFlow
+  reconstructs channel flags. Reserved bits in active core/flags.cuh are only
+  reservations: is_fluid does not exclude AMR and no skip-collision contract
+  exists in init, body overlays or checkpoint. No old clone behavior was assumed.
+
+  A keeps coarse source G immutable and replaces local incoming components.
+  It needs the existing compact target/children tables (sorted together at
+  upload), no source backup or full coarse override array. Only boundary-ring
+  targets binary-search this table; performance optimization is not claimed.
+
+  B could map incoming (q,K) to source (q,K-cq) because periodic pull is a
+  bijection for each q. It is algebraically valid even for the eight corner-pass
+  links, whose sources are UNCOVERED. But these overwritten source vectors no
+  longer form consistent postcollision G. A safe B needs sparse backups (100
+  floats for this patch), source-slot indices, exclusion of all macro, donor,
+  snapshot, checkpoint and BC readers, same-stream scatter AFTER Curved and
+  before OneStep, restoration to the captured old allocation before reuse or
+  publication, and a failed-state policy if asynchronous errors prevent restore.
+  Swapping pointers does not remove contamination from checkpoint's spare read.
+  B also still needs true periodic and covered-cell behavior. A is clearer here.
+
+Implementation and ownership
+  src/CelerisLab/lbm/refinement_stepper.py: PeriodicPatchStepper(cfg, bounds,
+      context=caller_owned_CudaContext), initialize(coarse_g,fine_g), step(n),
+      download(), close(). Use its context-manager scope before closing context.
+  src/CelerisLab/lbm/kernels/refinement.cu: separate compile entry, reusing active
+      layout, pull, macro/equilibrium and unforced SRT operators. No channel
+      kernels, physical flags, Curved, body, force or sensor dispatch.
+
+  Each level owns two FP32 Q-major (9,ny,nx) arrays and its own module with fixed
+  dimensions and omega. Both d_params force vectors and n_objects are zero.
+  Coarse/fine viscosity gives tau .8/1.1 here; configs are copied, modules are
+  separate, so async parameter mutation is unnecessary. One caller-owned CUDA
+  context, one backend-owned stream; private compiler directories are removed
+  after module loading. Allocations and modules are released on close; partial
+  construction preserves the original exception while attempting cleanup.
+
+  Explicit initial G arrays define the periodic state. initialize does NOT
+  collide, invent channel flags, or run a channel initializer. The test constructs
+  G0=C(F0) once. Each interval is:
+    explode original coarse G into ALL fine halo once;
+    fine pull + ACTIVE collision; inner halo only pulls, outer becomes NaN;
+    fine pull + ACTIVE collision again; same halo policy;
+    coarse periodic pull + ALL specified arrival overrides + ACTIVE collision;
+    synchronize, publish coarse buffer swap and completed step count.
+  The backend alone updates ghosts. At the second fine output, active cells hold
+  G while inner ghosts retain F2 for coalescence. Some inner-ghost directions
+  are legitimately invalid; all actual coalescence reads must be valid. Public
+  downloads mask every halo cell back to NaN and return synchronized leaf G.
+  No time-interpolated ghosts or nonequilibrium transfer scaling were added.
+
+  Covered coarse cells are skipped and permanently NaN in BOTH buffers.
+  Every uncovered arrival whose donor was covered is overridden before moments;
+  the closed map also replaces eight grazing-corner links with uncovered donors.
+  Explosion parents lie outside the patch. No BC/donor reader accesses covered
+  values; this backend exposes no old LBMField macro/cache/checkpoint interface.
+  Public arrays mark non-leaves NaN. There is no claim of complete multilevel
+  restart, snapshot, object coupling or a ready Simulation adapter.
+
+  Methods serialize via a lock. A failed interval can have overwritten fine G:
+  no transactional rollback is claimed. The instance becomes failed, rejects
+  download/step/initialize, and must be closed/recreated. Publishing happens only
+  after stream synchronization. Cleanup tries all allocations even after an
+  earlier free fails and does not replace a preexisting operation exception.
+
+Reference basis
+  Pinned CPUREF-0.3, tests/validation/multigrid/cpu_reference.py:
+    SHA256 bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e.
+    Its stored phase is arrival_f. Test-only C(F_ref) is compared to production G;
+    that observation conversion is not an additional production collision.
+  ref/lbmpy/src/lbmpy/relaxationrates.py:61 confirms acoustic tau scaling.
+  ref/palabos/src/multiGrid/multiGridGenerator2D.hh:190 uses two fine substeps
+    and distinct interface processing. Its interpolation/rescaling is a different
+    method and was not imported into the pinned volumetric algorithm.
+  Applied local .github/skills/lbm-ref-architecture-guard/SKILL.md: reference
+    search, actual data-path map and scope were completed before editing.
+  Independent local agent /root/coupling_review found no numerical-path blocker.
+    Its cleanup and partial-failure test suggestions were implemented. This does
+    not replace Claude/Grok/TRON review; Claude's earlier local_stress code review
+    remains incomplete.
+
+Validation plan fixed before running
+  No force/objects, double periodic 16x16 coarse, [4,12)^2 patch, 24x24 fine
+  including halo4, SRT tau .8/1.1. FP32 GPU (existing fast_math/FMA) versus FP64
+  pinned reference. Rest and seed1 nonequilibrium (u=.03,-.02, relative random
+  perturbation amplitude 1e-3) each <=8 coarse steps. Populations/corner packets
+  max absolute tolerance 3e-6, leaf mass/momentum absolute drift AND reference
+  discrepancy 2e-4. No tolerance was changed after results.
+  Actual device-write instrumentation checks collision count per leaf, zero
+  halo/covered collision, explosion per ghost and per-slot coalescence ownership.
+  The audit entry defines one diagnostic macro in a PRIVATE build and includes
+  the real refinement.cu; ordinary compile entry is separately smoke-tested.
+  No old 7x32 matrix, Jet replay, physical stability sweep or large datasets.
+
+Observed results
+  CPU geometry: 9/9 pass under 256MiB address-space/2MiB file/core0 limits.
+  CPU cleanup fault-injection: 1/1 pass under the same limits.
+  GPU audit, rest 8 steps:
+    max population error 2.11927626e-7
+    max leaf drift 4.43765894e-5; max leaf reference error 4.62839387e-5
+    max corner packet error 7.65754117e-9
+  GPU audit, nonequilibrium seed1 8 steps:
+    max population error 1.67235548e-7
+    max leaf drift 2.23806128e-5; max leaf reference error 2.20813948e-5
+    max corner packet error 1.09677929e-8
+  At every step: coarse leaf count=step, fine leaf count=2*step, halo/covered
+    count=0, explosion writes/ghost=step, coalescence writes/slot=step; PASS.
+    Hop2 finite mask, all coalescence reads and all eight corner packets PASS.
+  Normal entry: rest 1 step PASS. Eight-step equivalence evidence comes from
+    the audit build of the same kernel, not an eight-step normal-entry run.
+  Failure after explosion+two fine hops actually completed: 0 coarse steps
+    published, download/step rejected, close passed. Separate targeted test;
+    eight-step cases were not rerun to add this failure test.
+
+Budgets and provenance
+  Before each GPU run: physical GPU 0/1 idle (0%, 5MiB, no compute processes).
+  Used only physical GPU0, UUID GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c.
+  Exact Python /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python; runtime asserts
+  CelerisLab package and kernel root are from /home/frank14f/CelerisLab/src.
+  PYTHONPATH explicit, no user site/bytecode, BLAS one thread, CUDA cache disabled.
+  Production arrays 66,464 bytes, audit-only arrays 36,608 bytes: total 103,072
+  (<128KiB). This excludes CUDA context/module overhead, not measured as arrays.
+  GPU child watched at 50ms intervals, killed if sampled RSS exceeds 512MiB or
+  120s. CUDA virtual address space was NOT restricted to 256MiB; driver mapping
+  needs more. Largest sampled RSS 194,355,200 bytes (~185.35MiB); child getrusage
+  184.902MiB. Full first run 3.77s; partial-failure check 2.29s. GPU logs total
+  880 bytes (<2MiB); no data dumps, plots, dependency installs or system changes.
+  CPU logs summarized from tool executions in cpu_validation.json. Exact GPU
+  commands, environment, exit status, wall time and RSS are in gpu*.json; actual
+  stdout/stderr in gpu*.txt. Compiler scratch cleaned on every build.
+
+Audit and next boundary
+  baseline.json contains the pre-edit tree and 311 preserved old-file hashes
+  (including the prior evidence hash scope). incremental.patch contains only the
+  THREE new code/test files; existing dirty changes are not folded into it.
+  manifest.json records unchanged-baseline verification and artifact hashes.
+  No commit/staging/push, DynamisLab or old file cleanup/modification occurred.
+
+  This validates bounded implementation equivalence, NOT interface accuracy,
+  stress transfer, long-time stability or 32-step production performance. The
+  prior ~2.9% excess shear decay remains a research concern. Next joint decisions
+  are whether/how to expose this narrow periodic backend through Simulation and
+  when to implement an explicit two-level restart schema; neither is silently
+  included here. No generic hierarchy or minimal flat-wall Jet work was started.
+
+Authorization, verbatim as relayed by the coordinating thread
+<transcript_evidence>
+user（Sentinel_ed1ee5edd5e88191a1aaa4d710ce523f）: 推进吧，～/CelerisLab就是开发环境，可以改动，只要符合架构风格。遇到问题可以用undermind看文献，也可以让grok搜索互联网信息，还可以参考开源项目。
+user（Sentinel_d0d3a42b2c088191aa8aebc105fb1b27）: 允许，你用GPU验证都行
+</transcript_evidence>
diff --git a/research/refinement_step_20261013/baseline.json b/research/refinement_step_20261013/baseline.json
new file mode 100644
index 0000000..20f6155
--- /dev/null
+++ b/research/refinement_step_20261013/baseline.json
@@ -0,0 +1,317 @@
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+}
diff --git a/research/refinement_step_20261013/cpu_validation.json b/research/refinement_step_20261013/cpu_validation.json
new file mode 100644
index 0000000..7999fd3
--- /dev/null
+++ b/research/refinement_step_20261013/cpu_validation.json
@@ -0,0 +1,46 @@
+{
+  "note": "Results captured from successful tool executions; no solver steps in either CPU test.",
+  "commands": [
+    {
+      "command": [
+        "env",
+        "OPENBLAS_NUM_THREADS=1",
+        "PYTHONDONTWRITEBYTECODE=1",
+        "PYTHONNOUSERSITE=1",
+        "PYTHONPATH=/home/frank14f/CelerisLab/src",
+        "/usr/bin/prlimit",
+        "--as=268435456",
+        "--fsize=2097152",
+        "--core=0",
+        "--",
+        "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+        "-B",
+        "tests/unit/test_refinement.py"
+      ],
+      "tests": 9,
+      "exit_code": 0,
+      "unittest_seconds": 0.073
+    },
+    {
+      "command": [
+        "env",
+        "OPENBLAS_NUM_THREADS=1",
+        "PYTHONDONTWRITEBYTECODE=1",
+        "PYTHONNOUSERSITE=1",
+        "PYTHONPATH=/home/frank14f/CelerisLab/src",
+        "/usr/bin/prlimit",
+        "--as=268435456",
+        "--fsize=2097152",
+        "--core=0",
+        "--",
+        "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+        "-B",
+        "tests/validation/multigrid/test_refinement_gpu.py",
+        "CoupledGPU.test_cleanup_attempts_every_allocation"
+      ],
+      "tests": 1,
+      "exit_code": 0,
+      "unittest_seconds": 0.002
+    }
+  ]
+}
diff --git a/research/refinement_step_20261013/gpu_failure_validation.json b/research/refinement_step_20261013/gpu_failure_validation.json
new file mode 100644
index 0000000..5f6db65
--- /dev/null
+++ b/research/refinement_step_20261013/gpu_failure_validation.json
@@ -0,0 +1,28 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_gpu.py",
+    "CoupledGPU.test_partial_advance_cannot_be_published"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 2.289288223022595,
+  "peak_sampled_rss_bytes": 192962560,
+  "termination_reason": null,
+  "gpu_process_query": "gpu_uuid, pid, process_name, used_gpu_memory [MiB]\n",
+  "gpu_uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "output_bytes": 248
+}
diff --git a/research/refinement_step_20261013/gpu_failure_validation.txt b/research/refinement_step_20261013/gpu_failure_validation.txt
new file mode 100644
index 0000000..d9a570a
--- /dev/null
+++ b/research/refinement_step_20261013/gpu_failure_validation.txt
@@ -0,0 +1,7 @@
+test_partial_advance_cannot_be_published (__main__.CoupledGPU) ... partial failure: two fine hops completed, no coarse step published; cleanup PASS
+ok
+
+----------------------------------------------------------------------
+Ran 1 test in 1.995s
+
+OK
diff --git a/research/refinement_step_20261013/gpu_validation.json b/research/refinement_step_20261013/gpu_validation.json
new file mode 100644
index 0000000..2028f59
--- /dev/null
+++ b/research/refinement_step_20261013/gpu_validation.json
@@ -0,0 +1,25 @@
+{
+  "command": [
+    "/usr/bin/prlimit",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/test_refinement_gpu.py"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "environment": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "CUDA_VISIBLE_DEVICES": "0",
+    "CUDA_CACHE_DISABLE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1"
+  },
+  "exit_code": 0,
+  "elapsed_seconds": 3.773645655019209,
+  "peak_sampled_rss_bytes": 194355200,
+  "termination_reason": null,
+  "output_bytes": 632
+}
diff --git a/research/refinement_step_20261013/gpu_validation.txt b/research/refinement_step_20261013/gpu_validation.txt
new file mode 100644
index 0000000..9699918
--- /dev/null
+++ b/research/refinement_step_20261013/gpu_validation.txt
@@ -0,0 +1,11 @@
+test_bounded_equivalence_and_ownership (__main__.CoupledGPU) ... device_arrays=66464 audit_arrays=36608 bytes
+rest: steps=8 max_population=2.11927626e-07 max_leaf_drift=4.43765894e-05 max_leaf_error=4.62839387e-05 max_corner_packet=7.65754117e-09; ownership/counts PASS
+nonequilibrium_seed1: steps=8 max_population=1.67235548e-07 max_leaf_drift=2.23806128e-05 max_leaf_error=2.20813948e-05 max_corner_packet=1.09677929e-08; ownership/counts PASS
+normal-build rest: steps=1 PASS; source/kernel paths pinned
+host_peak_rss=184.902 MiB
+ok
+
+----------------------------------------------------------------------
+Ran 1 test in 3.454s
+
+OK
diff --git a/research/refinement_step_20261013/incremental.patch b/research/refinement_step_20261013/incremental.patch
new file mode 100644
index 0000000..d95f934
--- /dev/null
+++ b/research/refinement_step_20261013/incremental.patch
@@ -0,0 +1,549 @@
+diff --git a/src/CelerisLab/lbm/refinement_stepper.py b/src/CelerisLab/lbm/refinement_stepper.py
+new file mode 100644
+--- /dev/null
++++ b/src/CelerisLab/lbm/refinement_stepper.py
+@@ -0,0 +1,207 @@
++# CelerisLab/lbm/refinement_stepper.py
++"""Opt-in fixed periodic patch backend; no Simulation/channel/objects adapter.
++
++The caller owns the CudaContext and must close this backend before that context.
++Only synchronized postcollision_g leaf populations are public. No checkpoint,
++snapshot, forcing, runtime parameter mutation or dynamic refinement is offered.
++"""
++from dataclasses import dataclass, replace
++from numbers import Integral
++import struct
++from threading import RLock
++
++import numpy as np
++import pycuda.driver as cuda
++
++from ..cuda import compiler_v2 as compiler
++from .refinement import ACTIVE, FixedPatch2D
++
++
++@dataclass
++class _Level:
++    shape: tuple
++    module: object
++    current: object
++    spare: object
++    kernel: object
++    grid: tuple
++
++
++class PeriodicPatchStepper:
++    """D2Q9/SRT/FP32, one unforced 2:1 patch in a doubly periodic coarse box.
++
++    ``initialize(coarse_g, fine_g)`` accepts physical Q-major (9,ny,nx) arrays
++    already in postcollision phase. It does not collide or build channel flags.
++    Every ``step()`` publishes only after both levels complete on one stream.
++    On a device/launch failure the instance becomes unusable: close and recreate
++    it, rather than pretending the partially advanced fine buffer rolled back.
++    """
++    def __init__(self, cfg, bounds, *, context):
++        self.patch = FixedPatch2D.from_config(cfg, bounds)
++        self.ctx = context
++        self._lock = RLock()
++        self._status = "new"
++        self._step_count = 0
++        self._allocations = []
++        self._levels = []
++        self._stream = None
++        self._block = (cfg.threads_per_block, 1, 1)
++        fine_cfg = replace(cfg, nx=self.patch.fine_shape[1], ny=self.patch.fine_shape[0],
++                           viscosity=2 * cfg.viscosity)
++        with self.ctx.activate():
++            try:
++                self._stream = cuda.Stream()
++                for config, name in ((replace(cfg), "PatchCoarseStep"),
++                                     (fine_cfg, "PatchFineStep")):
++                    config.validate()
++                    build = compiler.generate_config(config, n_objects=0)
++                    try:
++                        ptx = compiler.compile_kernel(self.ctx.sm_arch, source="refinement.cu",
++                                                      build_dir=build)
++                        module = compiler.load_module(ptx)
++                    finally:
++                        compiler.cleanup_build_dir(build)
++                    ptr, _ = module.get_global("d_params")
++                    cuda.memcpy_htod(ptr, struct.pack("=ffffI", config.omega, 0, 0, 0, 0))
++                    shape = (9, config.ny, config.nx)
++                    size = int(np.prod(shape)) * 4
++                    self._levels.append(_Level(shape, module, self._allocate(size),
++                                              self._allocate(size), module.get_function(name),
++                                              ((config.nx + self._block[0] - 1) // self._block[0],
++                                               config.ny, 1)))
++                p = self.patch
++                order = np.argsort(p.coalesce_coarse)
++                self._ghosts = self._upload(p.ghost_fine)
++                self._donors = self._upload(p.ghost_coarse)
++                self._targets = self._upload(p.coalesce_coarse[order])
++                self._children = self._upload(p.coalesce_fine[order])
++                self._explode = self._levels[1].module.get_function("PatchExplode")
++            except BaseException:
++                try:
++                    self.close()
++                except Exception:
++                    pass  # Preserve the original construction failure.
++                raise
++
++    def _allocate(self, size):
++        pointer = cuda.mem_alloc(size)
++        self._allocations.append(pointer)
++        return pointer
++
++    def _upload(self, array):
++        array = np.ascontiguousarray(array)
++        pointer = self._allocate(array.nbytes)
++        cuda.memcpy_htod(pointer, array)
++        return pointer
++
++    def _require(self, *states):
++        if self._status not in states:
++            raise RuntimeError(f"Periodic patch is {self._status}; expected {' or '.join(states)}")
++
++    @property
++    def step_count(self):
++        return self._step_count
++
++    def _mask_nonleaves(self, coarse, fine):
++        x0, y0, x1, y1 = self.patch.bounds
++        coarse[:, y0:y1, x0:x1] = np.nan
++        fine[:, self.patch.fine_kind != ACTIVE] = np.nan
++
++    def initialize(self, coarse_g, fine_g):
++        """Upload an explicit periodic G_0; invalid non-leaves are discarded."""
++        with self._lock, self.ctx.activate():
++            self._require("new", "ready")
++            arrays = [np.array(a, dtype=np.float32, order="C", copy=True)
++                      for a in (coarse_g, fine_g)]
++            if any(a.shape != level.shape for a, level in zip(arrays, self._levels)):
++                raise ValueError("Expected Q-major (9,ny,nx) arrays for both levels")
++            x0, y0, x1, y1 = self.patch.bounds
++            leaf = np.ones(self.patch.coarse_shape, dtype=bool)
++            leaf[y0:y1, x0:x1] = False
++            for array, mask in zip(arrays, (leaf, self.patch.fine_kind == ACTIVE)):
++                if not np.isfinite(array[:, mask]).all() or (array[:, mask].sum(axis=0) <= 0).any():
++                    raise ValueError("Leaf populations must be finite with positive density")
++            self._mask_nonleaves(*arrays)
++            try:
++                for level, array in zip(self._levels, arrays):
++                    cuda.memcpy_htod(level.current, array)
++                    cuda.memcpy_htod(level.spare, array)
++                self._step_count = 0
++                self._status = "ready"
++            except BaseException:
++                self._status = "failed"
++                raise
++
++    def step(self, n=1):
++        """Advance G→G: one explosion, two fine collisions, one coarse collision."""
++        if isinstance(n, bool) or not isinstance(n, Integral) or n < 0:
++            raise ValueError("n must be a nonnegative integer")
++        with self._lock, self.ctx.activate():
++            self._require("ready")
++            c, f = self._levels
++            p = self.patch
++            kw = dict(block=self._block, stream=self._stream)
++            try:
++                self._status = "advancing"
++                for _ in range(n):
++                    self._explode(c.current, f.current, self._ghosts, self._donors,
++                                  np.uint32(len(p.ghost_fine)), np.uint64(np.prod(p.coarse_shape)),
++                                  grid=((len(p.ghost_fine) + self._block[0] - 1) // self._block[0], 1),
++                                  **kw)
++                    f.kernel(f.current, f.spare, grid=f.grid, **kw)
++                    f.kernel(f.spare, f.current, grid=f.grid, **kw)
++                    c.kernel(c.current, c.spare, f.current, self._targets, self._children,
++                             np.uint32(len(p.coalesce_coarse)),
++                             *(np.uint32(v) for v in p.bounds), grid=c.grid, **kw)
++                    self._stream.synchronize()
++                    c.current, c.spare = c.spare, c.current
++                    self._step_count += 1
++                self._status = "ready"
++            except BaseException:
++                self._status = "failed"
++                raise
++
++    def download(self):
++        """Return two synchronized G arrays, NaN on all non-leaves; no host cache."""
++        with self._lock, self.ctx.activate():
++            self._require("ready")
++            arrays = [np.empty(level.shape, np.float32) for level in self._levels]
++            for level, array in zip(self._levels, arrays):
++                cuda.memcpy_dtoh(array, level.current)
++            self._mask_nonleaves(*arrays)
++            return tuple(arrays)
++
++    def close(self):
++        """Release owned allocations/modules; the caller's context stays open."""
++        with self._lock:
++            if self._status == "closed":
++                return
++            self._status = "closed"
++            with self.ctx.activate():
++                error = None
++                try:
++                    if self._stream is not None:
++                        self._stream.synchronize()
++                except Exception as exc:
++                    error = exc
++                self._levels.clear()
++                self._explode = None
++                for pointer in self._allocations:
++                    try:
++                        pointer.free()
++                    except Exception as exc:
++                        error = error or exc
++                self._allocations.clear()
++                self._stream = None
++                if error is not None:
++                    raise error
++
++    def __enter__(self):
++        return self
++
++    def __exit__(self, *exc):
++        try:
++            self.close()
++        except Exception:
++            if exc[0] is None:
++                raise
+diff --git a/src/CelerisLab/lbm/kernels/refinement.cu b/src/CelerisLab/lbm/kernels/refinement.cu
+new file mode 100644
+--- /dev/null
++++ b/src/CelerisLab/lbm/kernels/refinement.cu
+@@ -0,0 +1,105 @@
++// Fixed, unforced, doubly periodic 2:1 patch. Separate compilation entry;
++// default OneStep/channel kernels are deliberately not included.
++#include <stdint.h>
++#include <math.h>
++#include "config.h"
++#include "core/precision.cuh"
++#include "core/descriptors.cuh"
++#include "core/layout.cuh"
++#include "core/params.cuh"
++#include "operators/macro.cuh"
++#include "operators/collision_srt.cuh"
++#include "streaming/pull_double_buffer.cuh"
++
++#if DIM != 2 || NQ != 9 || COLLISION_MODEL != 0 || STORE_PRECISION != 0 || USE_DDF_SHIFTING || USE_LES || STREAMING_MODEL != 0
++#error "Refinement requires unshifted FP32 D2Q9 SRT double buffers without LES"
++#endif
++
++// Enabled only in the validation build; no diagnostic arrays in normal builds.
++#ifdef CELERIS_REFINEMENT_AUDIT
++extern "C" {
++__device__ unsigned int collision_counts[TOTAL_CELLS];
++__device__ unsigned int explosion_counts[TOTAL_CELLS];
++__device__ unsigned int incoming_counts[NQ * TOTAL_CELLS];
++}
++#endif
++
++__device__ __forceinline__ void patch_collide(float* f, unsigned long k) {
++    float rho, ux, uy, feq[NQ];
++    compute_rho_u(f, rho, ux, uy);
++    compute_feq(rho, ux, uy, feq);
++    collide_srt_no_force(f, feq, d_params.omega);
++#ifdef CELERIS_REFINEMENT_AUDIT
++    ++collision_counts[k];
++#endif
++}
++
++extern "C" __global__ void PatchExplode(
++    const float* coarse, float* fine, const uint32_t* targets,
++    const uint32_t* donors, unsigned int count, unsigned long coarse_cells)
++{
++    unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
++    if (row >= count) return;
++    for (unsigned int q = 0; q < NQ; ++q)
++        fine[index_f(targets[row], q)] = coarse[q * coarse_cells + donors[row]];
++#ifdef CELERIS_REFINEMENT_AUDIT
++    ++explosion_counts[targets[row]];
++#endif
++}
++
++extern "C" __global__ void PatchFineStep(const float* in, float* out) {
++    unsigned int x, y; unsigned long k;
++    index_from_thread(x, y, k);
++    if (x >= NX || y >= NY) return;
++    float f[NQ];
++    // Outer halo is invalid after EACH hop, including when reusing the buffer
++    // that held explosion data. Inner halo only streams; it never collides.
++    if (x < 2 || y < 2 || x >= NX - 2 || y >= NY - 2) {
++        for (int q = 0; q < NQ; ++q) f[q] = NAN;
++    } else {
++        unsigned long j[NQ];
++        compute_neighbors(x, y, j);  // These interior targets never wrap.
++        stream_pull_load(k, f, in, j);
++        if (x >= 4 && y >= 4 && x < NX - 4 && y < NY - 4)
++            patch_collide(f, k);
++    }
++    stream_pull_store(k, f, out);
++}
++
++extern "C" __global__ void PatchCoarseStep(
++    const float* in, float* out, const float* fine,
++    const uint64_t* targets, const uint64_t* children, unsigned int count,
++    unsigned int x0, unsigned int y0, unsigned int x1, unsigned int y1)
++{
++    unsigned int x, y; unsigned long k;
++    index_from_thread(x, y, k);
++    if (x >= NX || y >= NY) return;
++    // Both buffers were poisoned at initialization; covered cells stay invalid.
++    if (x >= x0 && x < x1 && y >= y0 && y < y1) return;
++    unsigned long j[NQ];
++    compute_neighbors(x, y, j);
++    float f[NQ];
++    stream_pull_load(k, f, in, j);
++    if (x >= x0 - 1 && x <= x1 && y >= y0 - 1 && y <= y1) {
++        for (unsigned int q = 1; q < NQ; ++q) {
++            uint64_t slot = index_f(k, q);
++            unsigned int lo = 0, hi = count;
++            while (lo < hi) {
++                unsigned int mid = lo + (hi - lo) / 2;
++                if (targets[mid] < slot) lo = mid + 1;
++                else hi = mid;
++            }
++            if (lo < count && targets[lo] == slot) {
++                const uint64_t* s = children + 4ul * lo;
++                f[q] = 0.25f * (fine[s[0]] + fine[s[1]] + fine[s[2]] + fine[s[3]]);
++#ifdef CELERIS_REFINEMENT_AUDIT
++                ++incoming_counts[slot];
++#endif
++            }
++        }
++    }
++    // Includes the eight grazing-corner links with UNCOVERED coarse donors.
++    // All replacement arrivals must be in place before computing rho/u.
++    patch_collide(f, k);
++    stream_pull_store(k, f, out);
++}
+diff --git a/tests/validation/multigrid/test_refinement_gpu.py b/tests/validation/multigrid/test_refinement_gpu.py
+new file mode 100644
+--- /dev/null
++++ b/tests/validation/multigrid/test_refinement_gpu.py
+@@ -0,0 +1,222 @@
++"""Bounded FP32 GPU / pinned FP64 CPUREF-0.3 equivalence, not accuracy validation.
++
++Run explicitly in pycuda_3_10 with PYTHONPATH=<this repo>/src, one BLAS thread,
++and CUDA_VISIBLE_DEVICES=0 (or 1) only after checking the physical GPU is idle.
++At most eight coarse steps per case. No files, plots or flow arrays are saved.
++"""
++import hashlib
++import importlib.util
++from contextlib import nullcontext
++from pathlib import Path
++import resource
++import sys
++from threading import RLock
++import unittest
++from unittest.mock import Mock, patch
++
++import numpy as np
++import pycuda.driver as cuda
++
++import CelerisLab
++from CelerisLab.config import LBMConfig
++from CelerisLab.cuda import compiler_v2 as compiler
++from CelerisLab.cuda.context import CudaContext
++from CelerisLab.lbm.refinement_stepper import PeriodicPatchStepper
++
++ROOT = Path(__file__).resolve().parents[3]
++POP_ATOL = 3e-6
++MOMENT_ATOL = 2e-4
++REFERENCE_SHA = "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e"
++REF_PATH = Path(__file__).with_name("cpu_reference.py")
++assert hashlib.sha256(REF_PATH.read_bytes()).hexdigest() == REFERENCE_SHA
++loader = importlib.util.spec_from_file_location("pinned_patch_reference", REF_PATH)
++ref = importlib.util.module_from_spec(loader)
++sys.modules[loader.name] = ref
++loader.loader.exec_module(ref)
++
++
++def postcollision(state, spec, maps):
++    # Observation conversion only. Never applied to production G.
++    return tuple(ref._collide(spec, a, np.isfinite(a), tau, mask,
++                              np.zeros(mask.shape, dtype=np.int64))
++                 for a, tau, mask in ((state.coarse_f, spec.tau_coarse, maps.coarse_active),
++                                       (state.fine_f, spec.tau_fine, maps.fine_active)))
++
++
++def totals(arrays, maps):
++    # Leaf sum independent of the reference's flux/budget bookkeeping helpers.
++    c, f = arrays
++    populations = c[:, maps.coarse_active].astype(np.float64).sum(axis=1)
++    populations += .25 * f[:, maps.fine_active].astype(np.float64).sum(axis=1)
++    return np.array([populations.sum(), populations @ ref.CX, populations @ ref.CY])
++
++
++def global_array(module, name, shape):
++    out = np.empty(shape, dtype=np.uint32)
++    ptr, size = module.get_global(name)
++    assert size == out.nbytes
++    cuda.memcpy_dtoh(out, ptr)
++    return out
++
++
++class CoupledGPU(unittest.TestCase):
++    def test_cleanup_attempts_every_allocation(self):
++        backend = PeriodicPatchStepper.__new__(PeriodicPatchStepper)
++        backend.ctx = Mock(activate=nullcontext)
++        backend._lock = RLock()
++        backend._status = "failed"
++        backend._stream = Mock()
++        backend._stream.synchronize.side_effect = RuntimeError("original stream failure")
++        first, second = Mock(), Mock()
++        first.free.side_effect = RuntimeError("secondary free failure")
++        backend._allocations = [first, second]
++        backend._levels = [Mock()]
++        with self.assertRaisesRegex(RuntimeError, "original stream failure"):
++            backend.close()
++        first.free.assert_called_once()
++        second.free.assert_called_once()
++        self.assertEqual(backend._allocations, [])
++        self.assertEqual(backend._levels, [])
++        backend.close()
++
++    def test_partial_advance_cannot_be_published(self):
++        spec = ref.make_spec(collision="srt")
++        maps = ref.build_maps(spec)
++        with CudaContext(0) as context:
++            with PeriodicPatchStepper(LBMConfig(nx=16, ny=16, viscosity=.1),
++                                      (4, 4, 12, 12), context=context) as backend:
++                backend.initialize(*postcollision(ref.make_state(spec), spec, maps))
++                coarse, fine = backend._levels
++
++                def fail_after_fine(*args, **kwargs):
++                    # Ensure both queued fine hops actually completed before failing.
++                    backend._stream.synchronize()
++                    raise RuntimeError("coarse launch failed after two fine hops")
++
++                with patch.object(coarse, "kernel", side_effect=fail_after_fine):
++                    with self.assertRaisesRegex(RuntimeError, "after two fine hops"):
++                        backend.step()
++                self.assertEqual(backend.step_count, 0)
++                for operation in (backend.download, backend.step):
++                    with self.assertRaisesRegex(RuntimeError, "failed"):
++                        operation()
++                raw = np.empty(fine.shape, np.float32)
++                cuda.memcpy_dtoh(raw, fine.current)
++                self.assertTrue(np.isfinite(raw.ravel()[backend.patch.coalesce_fine]).all())
++            self.assertFalse(context.is_closed)
++        print("partial failure: two fine hops completed, no coarse step published; cleanup PASS", flush=True)
++
++    def test_bounded_equivalence_and_ownership(self):
++        self.assertEqual(Path(CelerisLab.__file__).resolve(), ROOT / "src/CelerisLab/__init__.py")
++        self.assertEqual(Path(compiler._KERNEL_DIR).resolve(), ROOT / "src/CelerisLab/lbm/kernels")
++        spec = ref.make_spec(collision="srt")
++        maps = ref.build_maps(spec)
++        cfg = LBMConfig(nx=16, ny=16, viscosity=.1)
++        compile_original = compiler.compile_kernel
++
++        def audit_compile(*args, **kwargs):
++            # Only this private build's entry differs. Production source unchanged.
++            entry = Path(kwargs["build_dir"]) / "refinement_audit.cu"
++            entry.write_text('#define CELERIS_REFINEMENT_AUDIT\n#include "refinement.cu"\n')
++            kwargs["source"] = entry.name
++            return compile_original(*args, **kwargs)
++
++        with CudaContext(0) as context:
++            with patch.object(compiler, "compile_kernel", audit_compile):
++                backend = PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context)
++            with backend:
++                # Production allocations: four DDF arrays and four compact tables.
++                device_bytes = 2 * 9 * (16**2 + 24**2) * 4
++                p = backend.patch
++                device_bytes += sum(a.nbytes for a in (p.ghost_fine, p.ghost_coarse,
++                                                       p.coalesce_coarse, p.coalesce_fine))
++                audit_bytes = sum((2 + 9) * np.prod(level.shape[1:]) * 4
++                                  for level in backend._levels)
++                self.assertLess(device_bytes + audit_bytes, 128 * 1024)
++                print(f"device_arrays={device_bytes} audit_arrays={audit_bytes} bytes", flush=True)
++                for case in ("rest", "nonequilibrium_seed1"):
++                    with self.subTest(case=case):
++                        state = ref.make_state(spec, velocity=(0, 0) if case == "rest" else (.03, -.02))
++                        if case != "rest":
++                            rng = np.random.default_rng(1)
++                            state = ref.State(*(a * (1 + 1e-3 * rng.standard_normal(a.shape))
++                                                for a in (state.coarse_f, state.fine_f)))
++                        initial = postcollision(state, spec, maps)
++                        backend.initialize(*initial)
++                        for level in backend._levels:
++                            for name in ("collision_counts", "explosion_counts", "incoming_counts"):
++                                ptr, size = level.module.get_global(name)
++                                cuda.memset_d8(ptr, 0, size)
++                        before = totals(backend.download(), maps)
++                        max_error = max_drift = max_moment_error = max_corner = 0.0
++                        for step in range(1, 9):
++                            state, diagnostic = ref.advance_coarse_once(spec, maps, state)
++                            backend.step()
++                            actual = backend.download()
++                            expected = postcollision(state, spec, maps)
++                            self.assertEqual(backend.step_count, step)
++                            p.check_synchronization(step, state.tick, phase="postcollision_g")
++                            for got, want in zip(actual, expected):
++                                np.testing.assert_array_equal(np.isnan(got), np.isnan(want))
++                                error = float(np.nanmax(np.abs(got - want)))
++                                self.assertLessEqual(error, POP_ATOL)
++                                max_error = max(max_error, error)
++                            drift = float(np.max(np.abs(totals(actual, maps) - before)))
++                            moment_error = float(np.max(np.abs(totals(actual, maps) - totals(expected, maps))))
++                            self.assertLessEqual(drift, MOMENT_ATOL)
++                            self.assertLessEqual(moment_error, MOMENT_ATOL)
++                            max_drift, max_moment_error = max(max_drift, drift), max(max_moment_error, moment_error)
++                            c, f = backend._levels
++                            np.testing.assert_array_equal(global_array(c.module, "collision_counts", (16, 16)),
++                                                          step * maps.coarse_active)
++                            np.testing.assert_array_equal(global_array(f.module, "collision_counts", (24, 24)),
++                                                          2 * step * maps.fine_active)
++                            np.testing.assert_array_equal(global_array(f.module, "explosion_counts", (24, 24)),
++                                                          step * ~maps.fine_active)
++                            owners = np.zeros((9, 16, 16), np.uint32)
++                            owners.ravel()[p.coalesce_coarse] = step
++                            np.testing.assert_array_equal(global_array(c.module, "incoming_counts", owners.shape), owners)
++                            raw = np.empty(f.shape, np.float32)
++                            cuda.memcpy_dtoh(raw, f.current)
++                            np.testing.assert_array_equal(np.isfinite(raw), diagnostic["hop2_valid"])
++                            self.assertTrue(np.isfinite(raw.ravel()[p.coalesce_fine]).all())
++                            self.assertEqual(len(diagnostic["corner_packets"]), 8)
++                            for packet in diagnostic["corner_packets"].values():
++                                sx, sy = packet["source_coarse_xy"]
++                                self.assertTrue(maps.coarse_active[sy, sx])
++                                values = [raw[packet["direction"], y, x]
++                                          for y, x in packet["children_fine_yx"]]
++                                error = float(np.max(np.abs(np.array(values) - packet["packets"])))
++                                self.assertLessEqual(error, POP_ATOL)
++                                max_corner = max(max_corner, error)
++                        print(f"{case}: steps=8 max_population={max_error:.9g} "
++                              f"max_leaf_drift={max_drift:.9g} max_leaf_error={max_moment_error:.9g} "
++                              f"max_corner_packet={max_corner:.9g}; ownership/counts PASS", flush=True)
++
++                # Fail before any additional time step; no stale synchronized export.
++                with patch.object(backend, "_explode", side_effect=RuntimeError("injected launch failure")):
++                    with self.assertRaisesRegex(RuntimeError, "injected"):
++                        backend.step()
++                with self.assertRaisesRegex(RuntimeError, "failed"):
++                    backend.download()
++                with self.assertRaisesRegex(RuntimeError, "failed"):
++                    backend.step()
++            self.assertFalse(context.is_closed)
++            with self.assertRaisesRegex(RuntimeError, "closed"):
++                backend.download()
++
++            # Compile and execute the actual non-audited entry as well: one step.
++            with PeriodicPatchStepper(cfg, (4, 4, 12, 12), context=context) as plain:
++                rest = postcollision(ref.make_state(spec), spec, maps)
++                plain.initialize(*rest)
++                plain.step()
++                for got, expected in zip(plain.download(), rest):
++                    np.testing.assert_allclose(got, expected, rtol=0, atol=POP_ATOL, equal_nan=True)
++                print("normal-build rest: steps=1 PASS; source/kernel paths pinned", flush=True)
++        rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024
++        self.assertLess(rss, 512)
++        print(f"host_peak_rss={rss:.3f} MiB", flush=True)
++
++
++if __name__ == "__main__":
++    unittest.main(verbosity=2)
diff --git a/research/refinement_step_20261013/manifest.json b/research/refinement_step_20261013/manifest.json
new file mode 100644
index 0000000..32a7f1a
--- /dev/null
+++ b/research/refinement_step_20261013/manifest.json
@@ -0,0 +1,52 @@
+{
+  "prior_files_checked": 311,
+  "prior_files_changed": [],
+  "reference_sha256": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+  "new_code_lines": 534,
+  "files": {
+    "research/refinement_step_20261013/README.txt": {
+      "bytes": 10671,
+      "sha256": "922d6fc6c742203f69e174a12cac6b19e8ae15be74257134c08d72990b16d517"
+    },
+    "research/refinement_step_20261013/baseline.json": {
+      "bytes": 40620,
+      "sha256": "68bd37982acb433bea235a94f211c907be483e905742f98166235929f79ba95d"
+    },
+    "research/refinement_step_20261013/cpu_validation.json": {
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+}
diff --git a/research/repair-2026-10-10/TRON_HANDOFF.md b/research/repair-2026-10-10/TRON_HANDOFF.md
new file mode 100644
index 0000000..a339786
--- /dev/null
+++ b/research/repair-2026-10-10/TRON_HANDOFF.md
@@ -0,0 +1,193 @@
+# CelerisLab 修复交接：供 TRON 独立复核
+
+2026-10-10。用户授权本轮修复现有错误、组织 subagents 并实际运行检查。没有实现壁面 jet、AMR/多层网格，也没有开展全面重构。保持当前模块边界和主要公共接口。
+
+## 工作树与来源
+
+基线为 `main` 的 `6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0`，没有提交或推送。修复前已有用户改动，见 `baseline-status.txt`、`baseline-hashes.json`。四个生成配置头和 `tests/postproc/experiment.ipynb` 是原有改动，**不是本轮补丁**；修复后逐字节哈希与本轮开始时一致。原副本保存在 `original-user-files/`。
+
+唯一运行来源为 `/home/frank14f/CelerisLab/src`，解释器为 `/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python`（Python 3.10.13）。包、compiler 和 CUDA 源文件的实测路径见 `provenance.json`，永久 GPU 测试也断言源码来源。未修改 DynamisLab 下的副本、全局安装或环境配置。
+
+运行采用 Tesla V100-SXM2-16GB；物理 GPU 限定0、1，进程内映射为 device 0。编译使用临时独立源码副本和配置头，Simulation 关闭时清理；测试没有覆盖仓库内生成头或 PTX。
+
+## 分工与独立复核
+
+- numerical：CUDA 算子、边界、EsoPull 映射与 stepper；报告 `repair-numerical.md`。
+- state：对象、局部流场修补、传输、快照和检查点；报告 `repair-state.md`。
+- architecture：配置、隔离编译、上下文与资源、CPU 导入和包声明；报告 `repair-architecture.md`。
+- root：Simulation 集成、涡初始化修复、现有测试门槛、实际 GPU 验证和交接。仅就 close/constructor 异常清理授权 architecture 协助修改 Simulation 对应区域。
+
+实施时共享任务说明明确物理与兼容约束（完成后已清理过程文件），接口变更先互通。state/numerical 相互核查同时间 EsoPull 映射与恢复阶段，并独立运行对方测试。architecture 对检查点进行交叉审查，发现定期保存时 obs 计数落后；root 修正为逐批累计，保存前等待对应 stream 完成。
+
+## 实施的修复
+
+| 范围 | 修复结果 | 核查重点 |
+|---|---|---|
+| 全局外力 | TRT 按偶/奇松弛率修正源项；MRT 使用各矩对应的修正 | 除质量、动量外，D2 全分布与独立矩阵公式对照 |
+| 稀疏 force_region | 保留原来的步后独立冲量；用中点速度源项消除错误碰撞系数 | 单步 Δj=F；二次平衡下等价于局部平衡分布差，不声称与全局 Guo 在所有阶数等价 |
+| EsoPull | 同一 completed count 的编码成为解码逆；同步不再隐含碰撞；壁面供体在原地写之前统一读取 | 首步、后续奇偶步、非均匀场、闭域与双缓冲同空间阶段比较 |
+| 移动壁和入口 | Bouzidi 反射修正符号及可压缩密度因子；shifted 入口密度常数修正 | 各方向、q 两分支和 fallback；不改既有入口方法 |
+| 物体增删 | Q-major 访问、精度/shift 编码与字节偏移一致；补丁外数据保持；立即删除也维持 dense IDs | FP32/FP16S，奇偶步、cache、增删后继续运行 |
+| 对象控制与叠加 | 控制不被其他对象刷新覆盖；sensor/force 标记不改变 solid occupancy；过滤无效采样点 | 多个 force_region 的实际流体 footprint 重叠提前拒绝，避免同 cell 并行写 |
+| 快照与检查点 | field-only 快照跨 EsoPull 奇偶恢复；v2 检查几何/投影并恢复控制、设备已应用 action、runtime params、obs 和缓存 | 保存 host 待上传目标与 device 已应用 action 的区别，保留 upload_act=False；相同 count 不代表同几何 |
+| CUDA 传输与资源 | 异步 host 缓冲使用 pinned memory 并保持生命周期；操作作用域绑定所属 context；多实例非逆序关闭 | 构造失败保留原始异常；关闭失败可重试；外部 stream 必须在对应实例 context 下创建 |
+| 配置与构建 | 独立临时编译目录；浮点宏不再按展示精度截断；显式路径缺失报错；分配结构变化拒绝；重编译同步新黏性 omega | 编译失败不读取旧隐式 PTX；CPU 工具可独立导入；Python 最低版本声明 3.10 |
+| 涡初始化 | 复用标准可压缩平衡分布，补齐 rho；Oseen 中心使用解析极限及近中心稳定展开 | rho≠1 的零强度不变；中心/近中心有限、远处保持原公式；没有时间信息的 EsoPull 初始化明确拒绝 |
+| 检查本身 | 集成测试固定小网格、显式空对象配置；传感器数值比较成为 pytest assert | 原来只返回结果的 validation 不能再静默通过 |
+
+## 经复核保留的设计
+
+1. `snapshot()/restore()` 只保存/恢复流场，不回退时钟和控制。EsoPull 保存 next-pull 物理分布，并按恢复时的 count 重编码。需要精确续跑用 checkpoint。
+2. `run()` 仍丢弃未 `sync_bodies()` 的暂存编辑；runtime sync 仍重编号。立即删除现也明确会压紧 IDs，调用者需重新取得剩余 ID。
+3. 公共 `recompile()` 仍禁止初始化后调用；运行中拓扑改变经 `sync_bodies()`。root 新测试曾误期望公开入口能越过此限制，修正了测试而没有改变 API。
+4. checkpoint 仍允许 collision/LES 等参数研究；改变黏性时使用新配置 omega。v1 内置 circle/sensor 的匹配几何可以安全读回；无法恢复真实控制的 v1 force_region 及未知自定义几何明确拒绝。
+5. force_region 仍是稀疏步后冲量；LES 原有模型选择、BFS 新流体填充策略没有替换。
+6. EsoPull `get_ddf()` 仍返回已解码精度/shift 的 backing 排列，不冒充物理节点分布。EsoPull 宏观诊断是当前 count 的 next-pull 阶段；双缓冲诊断是空间 postcollision 阶段。已移除文档中不适用于这些阶段的历史“bit-identical”断言。
+
+## 复现检查
+
+从 `/home/frank14f/CelerisLab` 执行：
+
+```bash
+env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 \
+  /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit -q -p no:cacheprovider
+
+env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 \
+  /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/integration tests/validation/test_sensor_accuracy.py -q -p no:cacheprovider
+```
+
+数值 unit suite 包含真实头文件/辅助 kernel 的 CPU shim 和 12 个独立 nvcc 编译组合；状态 unit suite 用真实 Python 方法与 HDF5，driver double 检查地址边界和 pinned 约束。两者不能替代 GPU。GPU suite 使用真实编译入口与设备，覆盖守恒、奇偶步、双布局、FP16S 状态修补、bitwise checkpoint 续跑、多实例上下文，以及约 1000 步后的 sensor 与宏观采样直接对比。
+
+最终结果以同目录 `final-unit.log` 和 `final-gpu.log` 为准，汇总在本文件尾部。
+
+## 尚未证明或未实现的边界
+
+- **D3Q19 完整求解器仍未实现。** 全入口仍有维度不完整的 aux/sync 调用；Simulation 在分配/编译前明确拒绝。D3 局部 collision/shift 修复与测试不代表三维求解器可运行。
+- 未做长时间高 Re、生产工况、LES 全组合、曲壁力/力矩网格收敛验证。小算例有限值、守恒和续跑一致性不能证明这些性质。
+- EsoPull 入口/出口已在后续轮统一为预暂存 spatial postcollision 供体；原始失败与后续验证分开保留，见末节。仍不将有限回归扩大为所有边界组合的正确性证明。
+- 壁面正确性引入每步一次小规模 prepass 和 `4*(6*nx+2*ny*nq)` 字节 scratch（已合并入口/出口准备）；没有进行性能基准，不能宣称绝无性能变化。可后续基于性能实测合并兼容的边界准备工作。
+- 编译成功后若发生设备 OOM/重绑定失败，runtime topology sync 尚不是通用事务回滚机制；不要将正常路径测试描述成所有设备故障下的原子恢复。
+- 动态拓扑仍使用现有 BFS/equilibrium 初始化，未新增严格守恒移动边界算法。jet/网格方向需以后单独设计与验证。
+
+建议 TRON 顺序：检查本轮与基线的差异归属 → 同 count/空间阶段映射与移动壁符号 → 力源项全向量 → checkpoint host/device 控制时序与兼容性 → 独立复现 GPU 测试 → 原地入口/出口读写与性能复核。
+
+## 最终实测结果
+
+合并所有修复后重新运行，两个进程均 exit 0：
+
+- `tests/unit`：**124 passed，8 subtests passed**，26.72 秒。日志 `final-unit.log`。
+- `tests/integration` + `tests/validation/test_sensor_accuracy.py`：**66 passed**，190.25 秒，真实 V100 GPU。日志 `final-gpu.log`。
+- `git diff --check`：通过。
+- 原有四个配置头和 notebook：最终哈希与修复开始时一致。见 `provenance.json`。
+
+这些结果是本轮受测范围的证据；TRON 的独立复核仍有必要，尤其是上面列明的数值阶段、入口/出口并发与性能边界。
+
+## 整理与精简（稳定性验证轮）
+
+删除了 17 个由本轮研究/修复产生的旧复现脚本、调度记录、重复哈希和重复 baseline diff，共 3718875 字节。保留原始失败结果、正式研究、永久测试与当前交接。用户原文件未修改，`original-user-files/` 备份与哈希保护链保留；没有清理 `ref/`、用户原有研究文档或实验结果。旧报告中的复现命令是历史记录，现行命令以本交接及永久测试为准。
+
+生产代码消除了重复参数打包、独立构建目录内多余的临时文件写入，以及手写配置字段清单；没有新增插件、注册器或通用框架。经典验证复用原有圆柱脚本，补齐作用域 context 和临时目录清理；Poiseuille 只有一个独立验证脚本。
+
+## 经典案例与稳定性：后续修复前的基线（2026-10-10）
+
+本轮只用物理 GPU **0、1**；进程内均为映射后的 device 0，固定前述独立源码和解释器。结果集中在 `classic-results.json`，可复算频率/受力的时序集中在 `classic-signals.npz`。不保存重复的整场快照与多套 CSV/报告。
+
+| 案例与范围 | 实际运行 | 结果 |
+|---|---|---|
+| Sah04 S2，MRT/双缓冲，Re_nom=200，β=.5，2402×62 | 120000 步，burn 45000 | St=.3566902，对 .3513 误差 **1.534%**，通过原 5% 门槛；Re_real=204.881，ρ范围 .9820–1.0512 |
+| Kan99b K2，MRT/双缓冲，Re=100，α=1，1351×601 | 280000 步（burn 80000 + 200000） | 五项均通过原有门槛：St=.169641（2.502%），mean Cl=−2.57953（3.675%），mean Cd=1.14603（3.807%），Cl振幅=.355069（2.212%），Cd振幅=.098919（.384%） |
+| 相同 K2，EsoPull | 同样 280000 步，无 NaN/Inf | **五项均未通过**：St=.138851（16.102%），mean Cl=−2.32464，mean Cd=.823321；不应把“没发散”算作精度合格 |
+| 解析 Poiseuille，SRT/TRT/MRT×两布局×H16/32/64，FP32+shift | 共 18 个基准组合、299754 步，Re=4.8，Ma≤.052 | **16/18 通过**预设误差/质量/稳态门槛；各碰撞模型的双布局剖面逐值一致。H64 弱力 MRT 两布局误差 .6977%，超过 .15% 门槛 |
+
+Poiseuille 采用 x 周期、半程无滑移壁，解析式 `u(s)=F*s*(H-s)/(2*rho*nu)`；参考 `ref/lbmpy/src/lbmpy/analytical_solutions.py::poiseuille_flow` 及 `ref/lbmpy/tests/poiseuille.py`。公开宏观读取阶段不同，本验证统一回到 spatial postcollision 分布并按该阶段减去半力动量；没有把两种阶段的速度直接比较。原门槛为 H16/32/64 相对 L2≤1%/.3%/.15%，质量漂移≤5e−4，稳态相对残差≤2e−5，横向速度≤1e−5。H64 MRT 将外力提高4倍、仍保持 Ma≈.052 后误差降到 .00776%；这是另一参数诊断，**没有替换失败的原案例**。它提示弱力/FP32敏感性，未证明具体误差机制；TRT 误差也非单调下降，不能概括为所有组合已验证二阶收敛。
+
+Sah04 的现有提取器带目标频段筛选，因此另用全部非零频率中的全局主峰复算，得到完全相同 St=.3566902，排除了本次结果因目标加权挑峰而“通过”。K2 保留原文升力符号，没有取绝对值或翻转观测量来通过门槛。参考全文已在 `tests/specs/sah04.md`、`tests/specs/kan99b.md`，阈值来自既有对应 validation spec，没有事后放宽。历史记忆中的 K2 升力符号问题在**当前双缓冲配置**不再出现；不能据此替旧结果重新定性。
+
+### EsoPull 新发现的边界限制
+
+64×32 小域、共同 spatial count=1 初态、圆柱 omega=0/.002，运行20步：x 周期时两布局分布逐值相同（力仅有原子归约舍入差）；regularized/uniform/free-slip 开放边界时，首步误差出现在入口/出口（约6.8e−5），20步最大约 .0068，初期圆柱附近无差异。额外只读 CPU 检查在没有并发的情况下也产生边界输出差异。
+
+源码原因：`boundary/inlet_outlet.cuh` 的 EsoPull regularized/channel/outlet 从邻居读 `load_f_esopull(...,t)` 的 next-pull 状态，双缓冲却读 spatial postcollision 供体。阶段不一致已经复现；原地核同时读取邻居多方向值还存在并发风险，但本次实验没有单独测定其贡献。这是两个实现尚未统一离散边界语义的证据，不能简单把不同公式都归为存储差别。
+
+在已有 `tests/integration/test_numerical_gpu.py` 增加了周期曲壁的2项通过回归，以及开放边界的2项 **strict xfail（已知未修，不能算通过）**；root 在 GPU0 独立复跑得到 `2 passed, 2 xfailed`。后续修复应在原地推进前取同一明确阶段的供体，并统一入口、出口和自由滑移交角读取；优先考虑复用现有边界准备过程。仅换一个 load helper 不能解决读写时序。上述为修复前基线；后续实施与结果见末节。
+
+### D3 支持边界的准确解释
+
+当前绕过 runtime 检查、对无对象 D3Q19/SRT/双缓冲进行隔离 nvcc 编译，仍有 **18 个错误**，来自 `aux_kernels.cu` 和 `esopull_sync.cu` 的二维 `coordinates/compute_neighbors` 调用；统一入口无条件 include 这些文件，所以即使不使用 EsoPull 或对象也被阻断。原审计为20个错误；提前报错没有撤掉原本能运行的三维功能。
+
+已有 D3 descriptors、局部碰撞、双缓冲主步、部分初始化和双缓冲 host 宏观诊断。缺的是完整链：对象 mask/links/sensor 仍按 nx×ny 构建（16×8×4 的 CPU 实测产生512/128长度错误）；D3 EsoPull 初始化布局、墙面处理和宏观诊断未闭合；对象控制及局部补值仍偏二维。最小扩展可先做“无对象、双缓冲、明确 z 周期边界”的受限 D3，再验证均匀态、剪切波、平行板流与重启；不必以一次实现所有三维功能为前提，也没有在本轮开启这项实现。
+
+### 精简后的复查与复现
+
+本轮生产逻辑共去掉约37行重复；相对最初 HEAD、扣除原有用户修改后，生产代码/元数据净增约384行，主要用于已复现的恢复、所有权和配置缺陷。不能把新增测试与生产路径混算，也不能用净行数代替可读性审查。没有新增生产模块、注册器或抽象层。
+
+精简后的检查：`tests/unit` 加状态/配置 GPU 回归，**141 passed，8 subtests passed**；日志 `simplification-checks.log`。经典 runner 使用作用域 context 和 TemporaryDirectory；其原本不论验收结果都返回0的行为也已修正：非 smoke 模式验收失败返回非零。利用本次已保存的真实结果重放 CLI 报告路径，验证好/坏结果分别返回0/1；这是报告层检查，没有伪称重跑物理。
+
+经典运行命令（同样设置固定 PYTHONPATH 与 PYTHONDONTWRITEBYTECODE）：
+
+```bash
+CUDA_VISIBLE_DEVICES=0 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_sah04_st_matrix.py --case S2 --json-out /tmp/sah04.json --dump-npz-dir /tmp/sah04
+CUDA_VISIBLE_DEVICES=0 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_kan99b_rotating_cylinder.py --case K2 --no-k2-control --domain M --out-dir /tmp/k2-double
+CUDA_VISIBLE_DEVICES=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_kan99b_rotating_cylinder.py --case K2 --no-k2-control --domain M --streaming esopull --out-dir /tmp/k2-esopull
+CUDA_VISIBLE_DEVICES=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python tests/validation/run_poiseuille.py --output /tmp/poiseuille.json
+```
+
+上述基线中的 EsoPull 开放边界与弱力 MRT 问题已进入后续修复；最新状态见末节。任何有限案例均不能扩展成全部模型、全部入口和整个稳定性范围已通过。
+
+
+## 二维后续修复：MRT 精度与开放边界（2026-10-10）
+
+此节是最新实现状态；上方经典表格保留修复前结果。继续采用相同模型、Re/Ma、网格、采样长度与门槛。numerical 负责边界和初始化，state 负责 MRT，architecture 独立核对，root 负责公共入口、整体验证和结果整理。
+
+- **EsoPull 开放边界**：原 `PrepareEsoPullWalls` 扩为 `PrepareEsoPullBoundaries`，同时读取 y 壁和 x 入口/出口的供体，仍只有原来的一次准备启动。scratch 为 `[6*nx][2*ny*nq]` 个 float；在曲壁及原地写入前暂存同阶段 spatial postcollision，首步保留初始化语义。入口/出口和 free-slip 已知方向修补均改读这份供体，移除 live-fi、t 参数和重复邻居计算。原两项 strict xfail 已改为正常断言并通过，覆盖静止/旋转圆柱、开放/周期 x 边界；额外覆盖 ny>nx、首步和后续奇偶步、实际边界头文件检查。
+- **D2 shifted MRT**：直接变换 `g=f-w`，以 `M*w=(1,-2,1,0,0,0,0,0,0)` 移除平衡矩背景。保留 LL 矩阵、固定 1.2 松弛率、shear omega、Guo 半前半后源项。旧式在 rho=1、u=F=0 单次碰撞就产生约1e−8的分布漂移；新式精确保持静止。独立 FP64 全九分量 oracle 覆盖54种弱力/密度/非平衡组合。原18项 Poiseuille 全通过，H64 MRT L2 从 .6977% 降为 .02085%，质量漂移从4.927e−4降至3.896e−7；SRT/TRT原数值不变，9对双布局剖面逐值一致。这是精度修复，不是最优 MRT 或所有参数收敛性证明。
+- **初始化与入口契约**：初始化复用 `compute_feq` 和现有同时间 EsoPull 编码，删去重复公式；shifted u=1e−9不再归零。成功重新初始化后 step_count 归0，再以0解码；不新增重复 obs 清零（既有流程已完成）。两布局各先跑3/4步后重初始化，与新实例的初态及下一步逐值一致，host/device obs与累计窗口均清零。`run` 在修改状态前拒绝负数/非整数步数及 checkpoint_interval，保留 run(0) 与整数协议。runtime 拒绝 nx<3、ny<4：否则供体越界或上下壁相邻行重合；局部算子配置仍可独立研究。
+
+参考与复核：`ref/lbmpy/src/lbmpy/moment_transforms/` 的 background_distribution 变换与 `forcemodels.py::Guo` 支持背景矩、松弛和源项推导；`ref/FluidX3D/src/kernel.cpp` 的 paired EsoPull load/store 支持布局映射。边界阶段以本项目双缓冲 ghost scheme 和 `load_physical_dir_pre_streaming` 契约为准，不照搬其他库的入口模型。初始化使用同一标准二次平衡分布。两位非作者独立核对了代数/映射；没有新增生产模块、注册器或通用框架。
+
+最终源码的经典长跑（仅GPU0/1）：
+
+| 案例 | 步数 | 原门槛结果 |
+|---|---:|---|
+| Kan99b K2，MRT、regularized/uniform/free-slip，双缓冲 | 280000 | 五项全过 |
+| 相同 K2，EsoPull | 280000 | 五项全过，修复前五项全败 |
+| Sah04 S2，MRT、channel_stabilized/parabolic，双缓冲 | 120000 | St=.356690202，误差1.53436%，通过5%门槛 |
+| Poiseuille，3碰撞×2布局×3网格，shifted FP32 | 18组合 | 18/18通过；保留修复前16/18结果 |
+
+K2 最终指标（不改升力符号、不放宽阈值）：
+
+| 指标 | 双缓冲 | EsoPull |
+|---|---:|---:|
+| St | 0.169640991 | 0.169640966 |
+| mean_cl | -2.57953058 | -2.57953222 |
+| mean_cd | 1.146032 | 1.14603163 |
+| amp_cl | 0.355069886 | 0.355078089 |
+| amp_cd | 0.0989277137 | 0.0989264594 |
+
+Sah04 另用无目标加权的全局 FFT 主峰复算，St完全一致；St归一化沿用原spec的标称 Umax=.1，同时单独报告实际 Re。K2 两布局长期统计接近，但由于原子归约和诊断阶段，不声称所有时序/宏观字段逐位一致。
+
+后续原始结果已合入 `classic-results.json::d2_followup`；长跑受力/升力时序合入 `classic-signals.npz` 的 `repaired_*` 项。原始失败数据仍保留。没有遍历所有入口/出口模式，未验证 FP16 长期稳定性、全部LES组合或高Re极限，也没有新增性能基准。修复后相对原HEAD生产/元数据为+1008/−685、净+323行（剔除用户原有生成头改动）；比此前净增约384行减少约61行。测试和证据文件不计入生产行数。
+
+最终整体验证：**130 unit passed、13 subtests passed；74 GPU integration/sensor passed**，无 xfail/skip。日志为已更新的 `final-unit.log`（33.12s）和 `final-gpu.log`（242.15s，物理GPU0）。root重新验证当前生产源码哈希与记录一致、git diff --check通过、原有四个配置头与实验notebook哈希未变。临时经典报告、重复CSV与整场快照已清除，仅保留上述合并结果和必要时序；没有提交或推送。
+
+
+## 2026-10-12 小步修复：x 周期 Poiseuille checkpoint
+
+依据用户指定的 [TRON 独立审查](https://drive.google.com/file/d/16VkxhdfJAmv4_4X6EkQjUldXNOdywkZu/view) 中 checkpoint 覆盖缺口；此轮仅修复该问题，不推进 Jet/AMR。起点是10月10日修复后的脏工作树，不是HEAD；本次增量见 `checkpoint-domain-2026-10-12.diff`。生产仅改 `src/CelerisLab/common/checkpoint.py`（+42/−8，净+34行），补充两份既有状态测试（unit +116/−2，GPU +39/−1）。其余既有src/tests/research文件在整理本节前逐文件哈希未变。未改DynamisLab、安装依赖、提交或推送。
+
+复现：新增默认/周期域×有/无对象4个CPU用例，旧实现默认2项通过、周期2项因flags与默认channel不符而拒绝。保存读实际GPU flags；几何计算/加载却重建默认入口出口，是根因。参考 `ref/lbmpy/src/lbmpy/scenarios.py::create_channel` 区分force-driven x周期与velocity-driven入口；本项目 `merge_flag_masks` 与curved donor的domain_flags约定要求几何投影使用真实域。
+
+修复：checkpoint升为v3，保存独立 `domain_flag`。从实际GPU flags去除注册对象overlay，固体覆盖下不可辨识的底域规范为FLUID；重叠加当前对象必须严格等于实际flags，且compact ownership有效，校验完成后才打开目标文件。加载以所存域重建geometry/projection，仍严格比较对象类型、角色、mask/hash及完整flags，另校验domain_flag形状/类型和规范化往返；全部在host/device恢复写入前完成。独立agent只读复核接受。
+
+兼容范围：v3提供固定几何恢复，不是通用base-domain所有权系统。load之后再调用initialize（重新初始化）或sync_bodies，仍可能重建默认域；本补丁不承诺这类后续操作保留周期域。旧v1/v2仍限default-channel并按原规则严格验证，不猜测旧周期文件缺失的base-domain。隐藏underlay规范为FLUID仅是固定几何restart约定，不代表恢复或猜测被遮住的真实墙面。
+
+验证：现有pycuda_3_10环境，固定 `PYTHONPATH=/home/frank14f/CelerisLab/src`、`PYTHONDONTWRITEBYTECODE=1`、`PYTEST_DISABLE_PLUGIN_AUTOLOAD=1`。单元测试 `tests/unit/test_state_regressions.py` **43 passed / 0.87s**。实际GPU测试前两次查询GPU0/1：均0%利用率、5MiB显存、无计算进程；仅使用物理GPU0。`tests/integration/test_state_gpu.py -k checkpoint` **10 passed、8 deselected / 33.41s**。新GPU案例D2Q9 MRT、FP32 shifted、16×18、nu=.1、Umax=.03（周期Poiseuille Re=4.8、Ma约.052），只推进3+4步：同实例/新实例恢复后，默认和周期域在两布局下与未中断续跑逐值相同。保留几何不匹配前写入拒绝、controls及obs恢复回归。CPU另覆盖旧版本、异常domain元数据、额外对象标记、无OBSTACLE的自定义SOLID掩码，以及保存失败不覆盖旧文件。没有重复经典长跑或宣称重新验证整个工程。
+
+复现命令（仓库根目录；GPU命令前须重新确认设备空闲）：
+
+```bash
+env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_state_regressions.py -q -p no:cacheprovider
+env CUDA_VISIBLE_DEVICES=0 PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/integration/test_state_gpu.py -k checkpoint -q -p no:cacheprovider
+```
+
+本轮验收后停在checkpoint修复，最小平壁Jet留待下一步讨论。
diff --git a/research/repair-2026-10-10/baseline-hashes.json b/research/repair-2026-10-10/baseline-hashes.json
new file mode 100644
index 0000000..9b4e24c
--- /dev/null
+++ b/research/repair-2026-10-10/baseline-hashes.json
@@ -0,0 +1,144 @@
+{
+  ".cursor/rules/cuda-style.mdc": "5810cf8cff793a11ba5dedafaa8a4e7d7d3debb728d837ca1903ff6dc8d6fdb9",
+  ".cursor/rules/project-layout.mdc": "aeed1cd9d48447bcfcfb6a77250af7c5a3d500de4c6b2591c5684696fa04c3ec",
+  ".cursor/rules/python-style.mdc": "ece75cb724d7dc46cb8dab7ecf8d710a90b503001da0d506ea4bf772ce395e21",
+  ".cursorignore": "9f072faa815a6c6d4dc791a424201404f0f623338681ae3d2fcbdf86db1bd035",
+  ".gitignore": "de25151f4cfdf29ca64032e509398e1829c7ded2449ccff803b2fd87d859ae6c",
+  "LICENSE": "e98392425e9a0007d0d69f0f7c912c2dc1b59061a6197223962aac45599c76ea",
+  "README.md": "982d0df8b766b1d5017ba702b75e8b3cec8d22f57af8f434be27ea251652596c",
+  "docs/audit/audit_round2.md": "0f14ad073a0725134e6391f961c324fd0013c7791fd410713e94ed1ad40b7385",
+  "docs/audit/body_refactor_notes.md": "8f978d7b01c9f49dca9eeaff0d163cec6da085e2f99ee5a5e803d72306e7a72f",
+  "docs/audit/config_diagnosis.md": "b601652df0cac36a8faf2b317b11853221353716a25184cd9b2dc41373a7f183",
+  "docs/audit/kernel_layer_audit.md": "89893c98ed7c2699157bf728ec0e79b0dd6aff4008ee5c7b77eb052de24033f1",
+  "docs/performance_analysis.md": "ba01aaa4d3c02b61a8dc55fd00518ac291ebbed79b6574190d6b7234a1158fcb",
+  "docs/tests_overview.md": "ffc9591fd7baa4261b2c1ce9cfa7aa13a3554a8d5df712035806266a5eaade3f",
+  "docs/validation_specs/Force_region.md": "3092080afe4a30665fe1b721803621ba9d0dd5d20ad17826984d94efc160fdac",
+  "docs/validation_specs/Force_region_validation.md": "279a4484d1bfca0fd67aed4de3282d547aa048f89389420d8e5f2fd86db54fc2",
+  "docs/validation_specs/Kan99b_validation.md": "0d8bf74f2361f863809af1979bf8807adaa423f98321e1104a3d86d8c7a863cf",
+  "docs/validation_specs/Sah04_validation.md": "1d122d29e281b7f50801b148f3314a0e35fdc27ee7d757c0a661243aa6185fb0",
+  "docs/validation_specs/exp_ctrl_matrix.md": "b7250576c23292988b6ef4bcfd080f611d41edc413c3cebd0eadcc8596049470",
+  "docs/validation_specs/streakline_notes.md": "cd342d214c07eb608ac2e5b8697322c44c31dbf4d27dfdb5409de46ef474df4b",
+  "output/round3_compatibility_summary.md": "319f2e6abde4b34cc4ec90ef461d8ebb85dd5a3ac1736cfa7a3fb110f2a69df9",
+  "pyproject.toml": "5d40e4737f0af7e36b23e73cee9e597db142e7ca90a94f902750fa8e67dc2577",
+  "setup.py": "bfba291a4cff6e421c2fb7b5701fd7955a8890368fb9d782b7440b323c7d2743",
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+  "src/CelerisLab/body/__init__.py": "de683d712fb870a11b899f9bdb0db0460f1e38e179d05f9c751bfda902a69cd2",
+  "src/CelerisLab/body/action_smoother.py": "b1a23ee6bbd4850b172cb8738c5c3546ee465a54189e6af9d8044f023d4687dc",
+  "src/CelerisLab/body/coupling/__init__.py": "c931f7eb318d48408c3e2febcc6917c88c8dcc1697cbf4329b1f340d94c35763",
+  "src/CelerisLab/body/coupling/soa_packer.py": "8ec26fd55ef74801bbd5ab6bd3d0a7dabc750cbd498aaac2ca4c61a0108ad3c9",
+  "src/CelerisLab/body/ddf_patch.py": "98a1fff54b589a1a0f24de93c465befba23240f925f28bfb92ec36c34507e173",
+  "src/CelerisLab/body/geometry/__init__.py": "ada88980ab672959aca9aa3a4c4aade3219524b2ab68110cd2a2f41e3e0ca90a",
+  "src/CelerisLab/body/geometry/base.py": "cceca14361ca2f34d34a3e43730e1a79b8ca81be00f0dd62e884db32b479419f",
+  "src/CelerisLab/body/geometry/circle.py": "7605ca7c21103f1d801ac73ab8dd18dffbdac425b2dee7b8858b283628a9e436",
+  "src/CelerisLab/body/manager.py": "ceab1f8ec7ced8026289bcb48078164899e080097044240827051cf069f9d22b",
+  "src/CelerisLab/body/objects.py": "71692d098ebb5ab2d0e614cb9b7854f048b8b33fbe6707e61fd0e8ac35745017",
+  "src/CelerisLab/body/preprocess/__init__.py": "dfd9d58bc07f626ab23a70053e31b88a6d9165d2e4c76a4e9f48abe674d3d2ec",
+  "src/CelerisLab/body/preprocess/flag_overlay.py": "87a82c94ea4a9695f483f503599d3987ce028c1dca75491b7eb5538268fa813f",
+  "src/CelerisLab/body/registry.py": "fbb7327780adbdc6da15ebdb799980daf32df22ee974af0893d7409f177bbb68",
+  "src/CelerisLab/body/sync_plan.py": "a73ac9ee361b2120d0b7bbebeaa2ccbf924ba27bd95d4dd4b383c10a39b2a409",
+  "src/CelerisLab/common/__init__.py": "3ba9d3aada34502d5b0f214751c83170941a3e37cf8a884b15d5666ef0be65e3",
+  "src/CelerisLab/common/_types.py": "aad2ff1a9033d4fd68783ad7123afb47201ddc58785cb6dc0246947037072a5f",
+  "src/CelerisLab/common/checkpoint.py": "74bceedd843a215a9102254be0c41d31303fa273a286fd620a4a2ffe3d7db8a6",
+  "src/CelerisLab/common/pathline.py": "a1b6efcc0a076d0f1dc8d49a595779426d7d5626b00072a59bac710ff02ad046",
+  "src/CelerisLab/common/preprocess.py": "7fc78a08857cf8e98519500b094a1d896af189b6b15658ff9b388ed51bed4515",
+  "src/CelerisLab/common/render.py": "0e055476257eb2bcd11e733766e52195de02f8fad228f570a3511a7c831bdc29",
+  "src/CelerisLab/common/streakline/__init__.py": "13ff1cfa416fdd721a08a659e76b5a5a99b8d3201add10a83b7b0bc654bc1eec",
+  "src/CelerisLab/common/streakline/_config.py": "a9185ef68e9c7b5d5a1dc0b04a28341e2ad91d13c145a7c106636a878cf0a605",
+  "src/CelerisLab/common/streakline/_integrate.py": "3fbd4368b2c8d0e7fda40dc65aac5df02b085008b4c68acd83cb7ae45d33a13b",
+  "src/CelerisLab/common/streakline/_render.py": "236cd637414ee318c4d66f9aed32110d8dc42a100d65fde06172f7cd0ba62c65",
+  "src/CelerisLab/common/streakline/_streakline.py": "1a3e08daa706b5f83cdeb337e9a945a36ddf7583c40af1d0bb9d825ac954df37",
+  "src/CelerisLab/config.py": "af8006cc06fc882aa5251ed6e0cf17022ffc2401b698a5ce44fbd88ebe732fe9",
+  "src/CelerisLab/configs/CONFIG.md": "551b84600ecd8f1626f008fa343caf4abfad1ec37522422abbd5b4e376e9529a",
+  "src/CelerisLab/configs/config_body.json": "055f261f0828ca1d4f2bb694bd15b72bbcabe31d552326208f28e37f761adab1",
+  "src/CelerisLab/configs/config_lbm.json": "17e4311f1f250c6ece59177a8b6ff856b69a016c7c10267e774b030a0a390865",
+  "src/CelerisLab/configs/config_lbm_flume_mrt_zouhe.json": "8f593321db05a563a42931603a228d61cbcba06dfbe113262d5cd0ad93c0fe79",
+  "src/CelerisLab/configs/config_lbm_flume_trt_regularized.json": "f4bba8e6a4339fc3c4eb14f6e2f57c4b22993c73703c773d853edfbe34736e56",
+  "src/CelerisLab/configs/config_lbm_three_cylinder_triangle.json": "eeb8e7149dbe4aa6b3a9562802735aa950750dfbe2d972a0727e788573afa817",
+  "src/CelerisLab/cuda/__init__.py": "5099f1cc04f940511af76ab5bd329b246d23e69c5560915203a466c03d98e036",
+  "src/CelerisLab/cuda/compiler_v2.py": "3327d58d8155257f30dcc1c1f6baa326e9ae6c512f5ef35a5a746aac7fd0d399",
+  "src/CelerisLab/cuda/context.py": "f5c3dda74668c0f90ac0ab5f8dd652cac882d65d4c42789b19075206ef41be4f",
+  "src/CelerisLab/cuda/obs_layout.py": "5ffb2c3aeeaaaaeb64f2cd8febfbcf4ad9919e5414020ad753cfade0683b21c2",
+  "src/CelerisLab/lbm/__init__.py": "516ac70c821c1af854e0d1c77f081aff78b8945aa57bd7a862c0e9b40816f661",
+  "src/CelerisLab/lbm/curved_links.py": "65453fba581c6c93ef03c88666ad40ddac48fb06e5f196094b65e9bce5fd585b",
+  "src/CelerisLab/lbm/descriptors.py": "c9f025dfc14da43b989047b84cc22bd05d5cc92c9ec695c1da68fdfb788e3f2b",
+  "src/CelerisLab/lbm/equilibrium.py": "2fb2f2bb7ff326d23abce80fc2a4c0907b17740ea3e29fe6ae079c5044783826",
+  "src/CelerisLab/lbm/field.py": "126ddf3e64e456678c6fea4a51c5c4c7daff00aac1ed60da3ff214fef1fea56d",
+  "src/CelerisLab/lbm/initializers.py": "2fd7d26328edb396f2cb968250992b30cf86c2c53d4f4d9c693954452253b23f",
+  "src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh": "f5a3d5961519945131495110955ad03fcae4dcc3e9fbea02a6b176ebe10c0ec8",
+  "src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh": "42ca4b276999a9eaf4986d3437637aa9d6e129333bd930e8d02ff37802b9e7c0",
+  "src/CelerisLab/lbm/kernels/boundary/esopull_curved_helpers.cuh": "b9b474bc4edaff05681c5443235472d04072d0d775fc0eb9c5967faef52b0258",
+  "src/CelerisLab/lbm/kernels/boundary/ibm_kernels.cuh": "e6909b547dc8d64cdd8a76a90660243a8f5fee535caa161b52b4dd8b7c29934b",
+  "src/CelerisLab/lbm/kernels/boundary/inlet/channel_stabilized.cuh": "efe077afcbb6b731256a987c2fd79a1dbc470c902f87070d60421ea6cb13d4e2",
+  "src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh": "c9caf12a7de68fc4ffde1692055e8928df3b4a9012cf778dc9cfca805a143e90",
+  "src/CelerisLab/lbm/kernels/boundary/inlet/equilibrium.cuh": "f0964c811b2c41a5aaa1c6d99c490b06e850c634eb8749f1f05ef61f93c2de1d",
+  "src/CelerisLab/lbm/kernels/boundary/inlet/regularized.cuh": "943d4a571818bacb89c70bccfaac202691121e3e385803ce6309123a0a03ddaf",
+  "src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh": "9386216086ea6499e9a1d0cd8375c3f6d02b18b751eb75f531916f608bc88c61",
+  "src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh": "337398c3a6996aa69a9aa4e56ce072e25ca8bac3bf86e90036fe80d3254b619f",
+  "src/CelerisLab/lbm/kernels/boundary/outlet/pressure_neq.cuh": "c8b2adc66d12fe602076ddc9693c5c208711fcaddb58aa9a31401a269f51c4c4",
+  "src/CelerisLab/lbm/kernels/config.h": "7d1124125e0b354558297934460e64c760fb68cdd7bf6d01a1238bb2eaab8c37",
+  "src/CelerisLab/lbm/kernels/config/config_grid.h": "8be3a7cf74ba30d7fd3074fed79e63dbda7311c4d03b454ea641bf298ffeaa8d",
+  "src/CelerisLab/lbm/kernels/config/config_method.h": "3db4e16ef2c6b22349d04e6aa8ab04bdfe0eb784f9f3a98277e15dbed1835d81",
+  "src/CelerisLab/lbm/kernels/config/config_objects.h": "dbb93c063586da278c15d95e23f84c12e728f4f5f1bbc3980fe9cedaa6fff90e",
+  "src/CelerisLab/lbm/kernels/config/config_obs.h": "c11e2249359145b5c4cbaaf0487506fa77c1f4b82c7c169ddc574aa0babcd727",
+  "src/CelerisLab/lbm/kernels/config/config_physics.h": "26df33c2960ba36f3283e19b55b4ea92e50e4efda705f9ebfbf3f875a4092c59",
+  "src/CelerisLab/lbm/kernels/core/descriptors.cuh": "8440bc14857da9007982650f828a23608eec9f7cc4bf772e8c8dc1239cb45356",
+  "src/CelerisLab/lbm/kernels/core/flags.cuh": "0025705f24710330d9d9195f713879bfb650a85a3449baef0e196b831af104ab",
+  "src/CelerisLab/lbm/kernels/core/layout.cuh": "1fbd820021c89ac3efcde24145996cb0147769e607e498e61f308ed3e0b13706",
+  "src/CelerisLab/lbm/kernels/core/obs.cuh": "b742b77c9f61e1f020fe9922c3838ae9d855e17b381154958b58f10a22938922",
+  "src/CelerisLab/lbm/kernels/core/params.cuh": "6e18bf730d936d940e3d85452f0714a2eaae31bf41002f9fd520ec5b372878dd",
+  "src/CelerisLab/lbm/kernels/core/precision.cuh": "849df14b4cce50af52399e4b8f3e997196f3ae5f1163f68e28df3e6b2507a8c4",
+  "src/CelerisLab/lbm/kernels/kernel_v2.cu": "5bcc192e2c38371d4b24b6725f75fec7d00364557c4b4536b064edf2ec9c75c5",
+  "src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh": "c3330d33cd007575a20ce36971e5a8fc684b76fa7d877d3aa71076b2f8d25fd7",
+  "src/CelerisLab/lbm/kernels/operators/collision_srt.cuh": "6b7ff842f392c8f853d2d1a97cc69bfe50f21283f73e659404da07cf6c95f5e1",
+  "src/CelerisLab/lbm/kernels/operators/collision_trt.cuh": "795f86cc28952eee34084882390b640d0641d0438f6d1ba8d60aeefa6f091051",
+  "src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh": "b57869d4b3db6fab51da25668330729a5c5b3afb0372d495e341a0700916fe3d",
+  "src/CelerisLab/lbm/kernels/operators/helpers.cuh": "0b3a4d95d7d19f5fec09e5423b8f4cc99f8a226b541967425967330da5a051ec",
+  "src/CelerisLab/lbm/kernels/operators/macro.cuh": "e27c1c410dc857be98da4596568e405eeaf88701d291ac0e398aa9cd23dee740",
+  "src/CelerisLab/lbm/kernels/operators/turbulence_smag.cuh": "ff7f000297ee0817e255ad9fcb6a13b647e3ddd5b206518d35f38d2895a9f501",
+  "src/CelerisLab/lbm/kernels/step/aux_kernels.cu": "5084f7f90bdaab9b315aba648229040056029bca41a9ad13fbd0e8c282d81e18",
+  "src/CelerisLab/lbm/kernels/step/esopull_macro.cu": "c73116020ca217ede1e4de27c8269c31f9d91e33433ac8252a21e9b14187c50f",
+  "src/CelerisLab/lbm/kernels/step/esopull_sync.cu": "4d8b35df434f7bd907d4f60d0b1104289c6f566952af653c1a73ce222fe12f87",
+  "src/CelerisLab/lbm/kernels/step/init_flow.cu": "1aedad5549d0ee9e6618967e9e3a1b44a5442180758cf515f8ff1006f4385a4a",
+  "src/CelerisLab/lbm/kernels/step/one_step_double.cu": "9bbf48e0c907dc5e0bf9e8fb653acd09f49ebed7208dd595c802d07f7439e289",
+  "src/CelerisLab/lbm/kernels/step/one_step_esopull.cu": "d17a57ba7d1fac3ba55f6df82d8e5a3e02c563ac742d181b1b31478e8fc6c193",
+  "src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh": "e094dac9e4e713abc29eac59aa0ad74e6a2a44dae4fc224629b561ae41e62065",
+  "src/CelerisLab/lbm/kernels/streaming/esopull_single_buffer.cuh": "77ed4ab9a0ebc5ff62a91a7c39066ef395391ae36e9040a69fb2bd8b1626dc79",
+  "src/CelerisLab/lbm/kernels/streaming/pull_double_buffer.cuh": "b65d741ed78b7b62f99531ba0c0ce1936663d8dc9640e7d7d16c707f1baf6549",
+  "src/CelerisLab/lbm/stepper.py": "9f252d2dae22a2e279b6fba6013005bc51179a4954c87b54430100153ee00e66",
+  "src/CelerisLab/simulation.py": "7162864caceccc94709057962eea23adabed9467f31dbccab9e1fd7bb987e6fc",
+  "tests/audit/Force_region.md": "3092080afe4a30665fe1b721803621ba9d0dd5d20ad17826984d94efc160fdac",
+  "tests/audit/Force_region_validation.md": "279a4484d1bfca0fd67aed4de3282d547aa048f89389420d8e5f2fd86db54fc2",
+  "tests/audit/body\u91cd\u6784\u7b14\u8bb0.md": "8f978d7b01c9f49dca9eeaff0d163cec6da085e2f99ee5a5e803d72306e7a72f",
+  "tests/audit/\u517c\u5bb9\u6027\u6d4b\u8bd5.md": "9c1721a33b381b9c3810545772b022913da06617711b5ba13a3c2c991b81a7f7",
+  "tests/audit/\u5ba1\u8ba1.md": "0f14ad073a0725134e6391f961c324fd0013c7791fd410713e94ed1ad40b7385",
+  "tests/audit/\u5ba1\u8ba1\u62a5\u544a_kernel_layer.md": "89893c98ed7c2699157bf728ec0e79b0dd6aff4008ee5c7b77eb052de24033f1",
+  "tests/conftest.py": "fa0ec26667872c9c1011d608310d2551fd24719b5d216f06d923ff4c74c73237",
+  "tests/integration/__init__.py": "c354e43ba09b55a8013a2df2069438740b5f48b5917d855e52e33ab5d7da5a6c",
+  "tests/integration/test_body_sync_e2e.py": "110b6a01f92809967f1e440c8ace3b30382fac72e9d07e7dc7b526629bd099c6",
+  "tests/integration/test_ddf_patch.py": "bec543c35561cf4dd64657598bf1b75cff5697f93f562a00e866de57d6c1817b",
+  "tests/integration/test_sync_bodies_skeleton.py": "b7b61b52ec411347389dcd8c75b8015a06aeb3caca1df2638a6436a3a1be3d1a",
+  "tests/integration/test_unified_obs.py": "ed27d4f4bdae432c88e90850fa15f8ba4a414ff3595beef647b9a81654047468",
+  "tests/postproc/experiment.ipynb": "c6b45db1c57200f0777213ef8d44cb4996c1aa7a5fb42b968b77e56f51b4fca4",
+  "tests/postproc/run_exp_ctrl_matrix_streakline.py": "529d5f31a3862080f890c65177502b589710b2d960ddf131abaf7dc2f9e2a96f",
+  "tests/postproc/run_exp_ctrl_matrix_vorticity.py": "b7e0c4113111b9b677f321750c0055656ccfa4f45c25fe7846f3ed22f30d1467",
+  "tests/postproc/run_kan99b_streakline.py": "a2bbf3fc629ea170d2d4879317dbf2b81c43378a328100ac1f2ee8d9895666cb",
+  "tests/postproc/run_stealth_steady_sweep.py": "3c32c4dede7da77fd6cfbd3f7b1ff43bb11390aaba621883ec96c6c7fdad5af7",
+  "tests/postproc/streakline_triangle_clean.png": "aa6669de7af6f82e98af25698a15f494e9cea20cb911ad9a30fe52597d33bb79",
+  "tests/postproc/vorticity_triangle_clean.png": "f831b8143b50f038d5920a0658469622655f34176d30cf7216feff108aa2ecaf",
+  "tests/screening/run_config_sweep.py": "5030c99923815ed6ad39110cb56f748c579ff4c66c7c1a368ad1a6008017e2ff",
+  "tests/specs/Kan99b_validation.md": "0d8bf74f2361f863809af1979bf8807adaa423f98321e1104a3d86d8c7a863cf",
+  "tests/specs/Sah04_validation.md": "1d122d29e281b7f50801b148f3314a0e35fdc27ee7d757c0a661243aa6185fb0",
+  "tests/specs/exp_ctrl_matrix.md": "5d9dd2e703582572eb68afe3a7096ea43ec82aa03418d20ed283c5365031e433",
+  "tests/specs/kan99b.md": "b7e0669f0a6b677d902204f3427d1b3ac254bfe70c37d9cf995fb3e8f1fedfb1",
+  "tests/specs/sah04.md": "33dbe5e0fd63738abd055c4aa403c191b6de04e6efdbc568f1942c6d23c7459f",
+  "tests/specs/streakline_notes.md": "cd342d214c07eb608ac2e5b8697322c44c31dbf4d27dfdb5409de46ef474df4b",
+  "tests/unit/__init__.py": "17f57920d9c1ff46096ceb2af008eb38c4b98dc81ffa3c3d310e758e80ca1cd4",
+  "tests/unit/test_body_flags.py": "ac6409157924e15a13a3d2cc2f1a09014b8b0198ba17c824f412ff20b19e2aac",
+  "tests/unit/test_equilibrium.py": "1ecbcc4547b1c846b75320463d828d6a36b6aae73208084fae476b1001c1bb50",
+  "tests/unit/test_pending_edits.py": "905a0dff23b123e8e38aaf364984c810fe51c39acd64aa271e343a4701d3d024",
+  "tests/unit/test_sync_plan.py": "983313ef783143231fa5a392f85f3bac011184773ccaf5d946504c206cabb721",
+  "tests/validation/run_kan99b_rotating_cylinder.py": "0b3591ec17f80e18642fb8bd9f975435410769a071a95667c8a94ff2b4961e5c",
+  "tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
+  "tests/validation/run_sah04_st_matrix.py": "6c995625d34b9bf642f7be32d5ecccfc7bf1f07b632192e7c80520d938e4a5fd",
+  "tests/validation/test_sensor_accuracy.py": "8e091a6a80621ee9d722d0f161389548d55faead1f2b8142f5fc46b26c786ff9"
+}
diff --git a/research/repair-2026-10-10/baseline-status.txt b/research/repair-2026-10-10/baseline-status.txt
new file mode 100644
index 0000000..515be24
--- /dev/null
+++ b/research/repair-2026-10-10/baseline-status.txt
@@ -0,0 +1,10 @@
+ M src/CelerisLab/lbm/kernels/config/config_grid.h
+ M src/CelerisLab/lbm/kernels/config/config_method.h
+ M src/CelerisLab/lbm/kernels/config/config_objects.h
+ M src/CelerisLab/lbm/kernels/config/config_physics.h
+ M tests/postproc/experiment.ipynb
+?? docs/design/
+?? docs/multilevel_grid_architecture_analysis.md
+?? research/
+?? "tests/audit/body\345\210\240\345\207\217\345\212\237\350\203\275.md"
+?? tests/validation/multigrid/
diff --git a/research/repair-2026-10-10/checkpoint-domain-2026-10-12.diff b/research/repair-2026-10-10/checkpoint-domain-2026-10-12.diff
new file mode 100644
index 0000000..035ed63
--- /dev/null
+++ b/research/repair-2026-10-10/checkpoint-domain-2026-10-12.diff
@@ -0,0 +1,308 @@
+--- a/src/CelerisLab/common/checkpoint.py
++++ b/src/CelerisLab/common/checkpoint.py
+@@ -21,8 +21,10 @@
+ import numpy as np
+ import pycuda.driver as cuda
+ 
++from ..lbm.descriptors import FLUID, SOLID, OBSTACLE, SENSOR_FLAG, FRC_REGION
++
+ # File format version — bump on incompatible layout changes.
+-CKPT_VERSION = 2
++CKPT_VERSION = 3
+ _SUPPORTED_STORE_PRECISIONS = ("FP32", "FP16S")
+ 
+ 
+@@ -35,10 +37,25 @@
+         )
+ 
+ 
+-def _geometry_records(field, bodies):
++def _domain_flags(field, bodies, flags):
++    """Keep actual domain boundaries, removing only registered object overlays.
++
++    A solid object's hidden underlay is unknowable from merged flags: use FLUID
++    there canonically. This base is for fixed-geometry restart, not body removal.
++    """
++    base = flags & np.uint16(0xffff ^ (SENSOR_FLAG | FRC_REGION))
++    for obj in bodies.objects:
++        mask = obj.get_flag_mask(field.nx, field.ny, field.nz)
++        base[(mask & SOLID) != 0] = FLUID
++    if np.any(base & OBSTACLE):
++        raise ValueError("Checkpoint flags contain an unregistered obstacle")
++    return base
++
++
++def _geometry_records(field, bodies, base_flags=None):
+     """Describe actual geometry/projection, not just the number of objects."""
+     records = []
+-    flags = bodies.build_flags(field.build_channel_flags())
++    flags = bodies.build_flags(field.build_channel_flags() if base_flags is None else base_flags)
+     for obj in bodies.objects:
+         digest = hashlib.sha256()
+         digest.update(obj.get_flag_mask(field.nx, field.ny, field.nz).tobytes())
+@@ -108,6 +125,11 @@
+     cuda.memcpy_dtoh(tmp_buf, field.temp_gpu)
+     flag_buf = np.empty(field.n, dtype=np.uint16)
+     cuda.memcpy_dtoh(flag_buf, field.flag_gpu)
++    domain_flags = _domain_flags(field, bodies, flag_buf)
++    geometry, expected_flags = _geometry_records(field, bodies, domain_flags)
++    if not np.array_equal(flag_buf, expected_flags):
++        raise ValueError("Checkpoint flags do not match current object/domain geometry")
++    bodies.build_compact_lists_for(bodies.objects, domain_flags=expected_flags)
+ 
+     with h5py.File(path, "w") as hf:
+         # Version and metadata
+@@ -130,8 +152,9 @@
+                           compression_opts=4)
+         hf.create_dataset("flag", data=flag_buf, compression="gzip",
+                           compression_opts=4)
+-
+-        geometry, _ = _geometry_records(field, bodies)
++        hf.create_dataset("domain_flag", data=domain_flags, compression="gzip",
++                          compression_opts=4)
++
+         hf.attrs["geometry_json"] = json.dumps(geometry)
+         hf.attrs["runtime_params_json"] = json.dumps(field._runtime_params)
+         hf.attrs["obs_accum_steps"] = bodies._obs_accum_steps
+@@ -167,6 +190,8 @@
+     The current config's lattice_model, nx, ny, nz, and
+     store_precision must match the checkpoint.  Other parameters
+     (collision, LES, …) may differ for parameter-study restarts.
++    v3 restores the saved domain boundaries; v1/v2 retain their default-channel
++    validation. Object geometry and roles must match in every version.
+ 
+     Args:
+         path: HDF5 checkpoint file path.
+@@ -181,7 +206,7 @@
+     with h5py.File(path, "r") as hf:
+         # Version check
+         ver = hf.attrs.get("ckpt_version", 0)
+-        if ver not in (1, CKPT_VERSION):
++        if ver not in (1, 2, CKPT_VERSION):
+             raise ValueError(
+                 f"Checkpoint version mismatch: file={ver}, "
+                 f"expected={CKPT_VERSION}. "
+@@ -218,7 +243,14 @@
+         if (len(obj_data) != bodies.count
+                 or [od.get("obj_id") for od in obj_data] != list(range(bodies.count))):
+             raise ValueError("Checkpoint object IDs must match the dense current registry")
+-        geometry, expected_flags = _geometry_records(field, bodies)
++        domain_flags = None
++        if ver >= 3:
++            if "domain_flag" not in hf:
++                raise ValueError("Checkpoint is missing domain_flag")
++            domain_flags = hf["domain_flag"][:]
++            if domain_flags.shape != (field.n,) or domain_flags.dtype != np.uint16:
++                raise ValueError("Invalid checkpoint domain_flag shape/dtype")
++        geometry, expected_flags = _geometry_records(field, bodies, domain_flags)
+         if ver == 1:
+             _validate_legacy_objects(obj_data, bodies)
+         elif json.loads(hf.attrs["geometry_json"]) != geometry:
+@@ -236,7 +268,9 @@
+             if array.shape != shape or array.dtype != expected_dtype:
+                 raise ValueError(f"Invalid checkpoint {name} shape/dtype")
+         if not np.array_equal(flag_buf, expected_flags):
+-            raise ValueError("Checkpoint flags do not match current object/channel geometry")
++            raise ValueError("Checkpoint flags do not match current object/domain geometry")
++        if ver >= 3 and not np.array_equal(domain_flags, _domain_flags(field, bodies, flag_buf)):
++            raise ValueError("Checkpoint domain_flag is not a canonical object-free domain")
+         restored_step = int(hf.attrs["step_count"])
+         if restored_step < 0:
+             raise ValueError("Checkpoint step_count must be nonnegative")
+--- a/tests/unit/test_state_regressions.py
++++ b/tests/unit/test_state_regressions.py
+@@ -18,7 +18,7 @@
+ from CelerisLab.body.ddf_patch import patch_ddf_for_body_sync, upload_patched_ddf
+ from CelerisLab.common.checkpoint import save_checkpoint, load_checkpoint
+ from CelerisLab.lbm.field import LBMField
+-from CelerisLab.lbm.descriptors import FLUID, SOLID, SENSOR_FLAG, FRC_REGION
++from CelerisLab.lbm.descriptors import FLUID, SOLID, OBSTACLE, SENSOR_FLAG, FRC_REGION
+ from CelerisLab.lbm.equilibrium import compute_feq_d2q9
+ 
+ W = np.array([4/9] + [1/9]*4 + [1/36]*4, dtype=np.float32)
+@@ -306,11 +306,42 @@
+     assert field._runtime_params['fx'] == .0002
+ 
+ 
++@pytest.mark.parametrize("periodic_x", [False, True])
++@pytest.mark.parametrize("with_objects", [False, True])
++def test_checkpoint_restores_actual_domain(device, tmp_path, periodic_x, with_objects):
++    source = make_field(device)
++    objects = [obj(x=2, r=1), obj(x=10, r=2, is_sensor=True)] if with_objects else []
++    bodies = manager(source, objects)
++    base = source.build_channel_flags()
++    if periodic_x:
++        base.reshape(source.ny, source.nx)[1:-1, [0, -1]] = FLUID
++    source.flag = bodies.build_flags(base)
++    source.upload_flags()
++    bodies.sync_to_gpu(source, rebuild_flags=False)
++    saved_flags = source.flag.copy()
++    # The device, not a possibly stale host mirror, is authoritative at save.
++    source.flag = source.build_channel_flags()
++    path = save_checkpoint(source, SimpleNamespace(step_count=3), source.cfg,
++                           bodies, str(tmp_path / 'domain.h5'))
++    target = make_field(device)
++    target_bodies = manager(target, objects)
++    stepper = SimpleNamespace(_step_count=0)
++    load_checkpoint(path, target, stepper, target.cfg, target_bodies)
++    assert stepper._step_count == 3
++    np.testing.assert_array_equal(target.flag, saved_flags)
++    np.testing.assert_array_equal(np.frombuffer(target.flag_gpu.data, np.uint16), saved_flags)
++    assert target.ddf_gpu.data == source.ddf_gpu.data
++
++
++@pytest.mark.parametrize("periodic_x", [False, True])
+ @pytest.mark.parametrize("change", ["geometry", "role", "ddf_shape"])
+-def test_checkpoint_rejects_before_device_writes(device,tmp_path,change):
++def test_checkpoint_rejects_before_device_writes(device,tmp_path,change,periodic_x):
+     field = make_field(device)
+     bodies = manager(field,[obj()])
+     bodies.sync_to_gpu(field)
++    if periodic_x:
++        field.flag.reshape(field.ny, field.nx)[1:-1, [0, -1]] = FLUID
++        field.upload_flags()
+     path = save_checkpoint(field,SimpleNamespace(step_count=3),field.cfg,bodies,str(tmp_path/'state.h5'))
+     if change == 'geometry':
+         bodies.get(0).geometry = CircleGeometry(6,5,2)
+@@ -335,6 +366,89 @@
+     field.cfg.validate()
+     load_checkpoint(path,field,SimpleNamespace(_step_count=0),field.cfg,bodies)
+     assert field._runtime_params['omega'] == field.cfg.omega
++
++
++@pytest.mark.parametrize('version', [1, 2])
++def test_legacy_checkpoint_default_domain(device, tmp_path, version):
++    field = make_field(device)
++    bodies = manager(field, [obj()])
++    bodies.sync_to_gpu(field)
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg,
++                           bodies, str(tmp_path / 'legacy-domain.h5'))
++    with h5py.File(path, 'a') as hf:
++        hf.attrs['ckpt_version'] = version
++        del hf['domain_flag']
++    load_checkpoint(path, field, SimpleNamespace(_step_count=0), field.cfg, bodies)
++    # Legacy files have no authoritative base-domain record. Keep their check.
++    with h5py.File(path, 'a') as hf:
++        hf['flag'][field.nx] = FLUID
++    writes = device.writes
++    with pytest.raises(ValueError, match='geometry'):
++        load_checkpoint(path, field, SimpleNamespace(_step_count=0), field.cfg, bodies)
++    assert device.writes == writes
++
++
++@pytest.mark.parametrize('damage', ['missing', 'shape', 'dtype', 'boundary', 'hidden', 'annotation'])
++def test_checkpoint_rejects_invalid_domain_before_writes(device, tmp_path, damage):
++    field = make_field(device)
++    bodies = manager(field, [obj()])
++    bodies.sync_to_gpu(field)
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg,
++                           bodies, str(tmp_path / 'invalid-domain.h5'))
++    with h5py.File(path, 'a') as hf:
++        if damage in ('missing', 'shape', 'dtype'):
++            del hf['domain_flag']
++            if damage != 'missing':
++                hf.create_dataset('domain_flag', data=np.ones(
++                    2 if damage == 'shape' else field.n,
++                    dtype=np.uint16 if damage == 'shape' else np.float32))
++        elif damage == 'boundary':
++            hf['domain_flag'][field.nx] = FLUID
++        elif damage == 'hidden':
++            hf['domain_flag'][5 + 5 * field.nx] = SOLID
++        else:
++            # Mutate both records: overlay idempotence alone would accept this.
++            for name in ('domain_flag', 'flag'):
++                hf[name][field.nx + 1] = FLUID | SENSOR_FLAG
++    before = bytes(field.ddf_gpu.data), field.flag.copy()
++    writes = device.writes
++    with pytest.raises(ValueError):
++        load_checkpoint(path, field, SimpleNamespace(_step_count=0), field.cfg, bodies)
++    assert device.writes == writes
++    assert bytes(field.ddf_gpu.data) == before[0]
++    np.testing.assert_array_equal(field.flag, before[1])
++
++
++@pytest.mark.parametrize('extra', [OBSTACLE | SOLID, SENSOR_FLAG, FRC_REGION])
++def test_checkpoint_save_rejects_unregistered_overlay(device, tmp_path, extra):
++    field = make_field(device)
++    bodies = manager(field)
++    field.flag[field.nx + 1] |= extra
++    field.upload_flags()
++    path = tmp_path / 'unchanged.h5'
++    path.write_bytes(b'existing checkpoint')
++    with pytest.raises(ValueError):
++        save_checkpoint(field, SimpleNamespace(step_count=0), field.cfg, bodies, str(path))
++    assert path.read_bytes() == b'existing checkpoint'
++
++
++def test_checkpoint_domain_handles_plain_solid_mask(device, tmp_path):
++    class PlainSolidCircle(CircleGeometry):
++        def build_flag_mask(self, nx, ny):
++            mask = super().build_flag_mask(nx, ny)
++            mask[(mask & SOLID) != 0] = SOLID
++            return mask
++
++    field = make_field(device)
++    body = obj()
++    body.geometry = PlainSolidCircle(5, 5, 2)
++    bodies = manager(field, [body])
++    bodies.sync_to_gpu(field)
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg,
++                           bodies, str(tmp_path / 'plain-solid.h5'))
++    with h5py.File(path) as hf:
++        assert hf['domain_flag'][5 + 5 * field.nx] == FLUID
++    load_checkpoint(path, field, SimpleNamespace(_step_count=0), field.cfg, bodies)
+ 
+ 
+ @pytest.mark.parametrize("kind",['circle','sensor','force_region'])
+--- a/tests/integration/test_state_gpu.py
++++ b/tests/integration/test_state_gpu.py
+@@ -91,10 +91,48 @@
+         np.testing.assert_array_equal(sim.get_ddf(),expected)
+ 
+ 
+-def test_checkpoint_geometry_mismatch_leaves_device_unchanged(tmp_path):
++@pytest.mark.parametrize('streaming', ['double_buffer', 'esopull'])
++@pytest.mark.parametrize('periodic_x', [False, True])
++def test_checkpoint_domain_exact_continuation(streaming, periodic_x, tmp_path):
++    # Same low-Mach forced channel as the Poiseuille runner, bounded to 7 steps.
++    kwargs = dict(nx=16, ny=18, streaming=streaming, collision='MRT',
++                  shifted=True, viscosity=.1, velocity=0.)
++    with make_sim(**kwargs) as source:
++        source.initialize()
++        if periodic_x:
++            source.field.flag.reshape(18, 16)[1:-1, [0, -1]] = FLUID
++            source.field.upload_flags()
++        source.update_runtime_params(fx=8 * .1 * .03 / 16**2)
++        source.run(3)
++        flags = source.get_flags().copy()
++        saved = source.get_ddf().copy()
++        path = source.save_checkpoint(str(tmp_path / 'domain.h5'))
++        source.run(4)
++        expected = source.get_ddf().copy()
++        # Restore into this instance and also a fresh default-domain instance.
++        source.load_checkpoint(path)
++        np.testing.assert_array_equal(source.get_flags(), flags)
++        np.testing.assert_array_equal(source.get_ddf(), saved)
++        source.run(4)
++        np.testing.assert_array_equal(source.get_ddf(), expected)
++    with make_sim(**kwargs) as target:
++        target.initialize()
++        target.load_checkpoint(path)
++        assert target.stepper.step_count == 3
++        np.testing.assert_array_equal(target.get_flags(), flags)
++        np.testing.assert_array_equal(target.get_ddf(), saved)
++        target.run(4)
++        np.testing.assert_array_equal(target.get_ddf(), expected)
++
++
++@pytest.mark.parametrize('periodic_x', [False, True])
++def test_checkpoint_geometry_mismatch_leaves_device_unchanged(tmp_path, periodic_x):
+     with make_sim(nx=48,ny=24) as source:
+         source.add_body('circle',center=(14,12),radius=3)
+         source.initialize()
++        if periodic_x:
++            source.field.flag.reshape(24, 48)[1:-1, [0, -1]] = FLUID
++            source.field.upload_flags()
+         source.run(2)
+         path = source.save_checkpoint(str(tmp_path/'geometry.h5'))
+     with make_sim(nx=48,ny=24) as target:
diff --git a/research/repair-2026-10-10/classic-results.json b/research/repair-2026-10-10/classic-results.json
new file mode 100644
index 0000000..7297aa0
--- /dev/null
+++ b/research/repair-2026-10-10/classic-results.json
@@ -0,0 +1,8169 @@
+{
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+    "device_id": 0,
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+      "src/CelerisLab/lbm/kernels/operators/turbulence_smag.cuh": "ff7f000297ee0817e255ad9fcb6a13b647e3ddd5b206518d35f38d2895a9f501",
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+      "src/CelerisLab/lbm/kernels/step/esopull_macro.cu": "c73116020ca217ede1e4de27c8269c31f9d91e33433ac8252a21e9b14187c50f",
+      "src/CelerisLab/lbm/kernels/step/esopull_sync.cu": "c0ff3e72900c3ab89a05dd03684e96d3b740cf1672d565727fc2af165933d087",
+      "src/CelerisLab/lbm/kernels/step/init_flow.cu": "b1139addaf8c2fa8532c167b4324b38ddd5b931cc499152c7c287710746eeaa6",
+      "src/CelerisLab/lbm/kernels/step/one_step_double.cu": "9bbf48e0c907dc5e0bf9e8fb653acd09f49ebed7208dd595c802d07f7439e289",
+      "src/CelerisLab/lbm/kernels/step/one_step_esopull.cu": "aa223b2744ae6c9125673df311a96ce588032c1ba58bebb11fd33ecb990f8ed4",
+      "src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh": "dd5a9091628b079efd97e53fd49e52d09dcee88529235db77a5648e02937af6e",
+      "src/CelerisLab/lbm/kernels/streaming/esopull_single_buffer.cuh": "77ed4ab9a0ebc5ff62a91a7c39066ef395391ae36e9040a69fb2bd8b1626dc79",
+      "src/CelerisLab/lbm/kernels/streaming/pull_double_buffer.cuh": "b65d741ed78b7b62f99531ba0c0ce1936663d8dc9640e7d7d16c707f1baf6549",
+      "src/CelerisLab/lbm/stepper.py": "e9e51e3a902fbda086d4707c0487e7b1dea6246fab290a24d82bd52d4296410e",
+      "src/CelerisLab/simulation.py": "f701d60981d73df688e1284a85f4e42e732416253a631fb81d063490890490f6"
+    },
+    "production_diff": {
+      "insertions": 1008,
+      "deletions": 685,
+      "net": 323,
+      "baseline": "6e3756c; excludes pre-existing user config headers"
+    },
+    "final_regression": {
+      "unit_passed": 130,
+      "subtests_passed": 13,
+      "unit_seconds": 33.12,
+      "gpu_passed": 74,
+      "gpu_seconds": 242.15,
+      "physical_gpu": 0,
+      "xfail": 0,
+      "source": "/home/frank14f/CelerisLab/src",
+      "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+      "logs": [
+        "final-unit.log",
+        "final-gpu.log"
+      ],
+      "original_user_files_unchanged": true,
+      "git_diff_check": "passed"
+    }
+  }
+}
diff --git a/research/repair-2026-10-10/classic-signals.npz b/research/repair-2026-10-10/classic-signals.npz
new file mode 100644
index 0000000..8cf6d12
Binary files /dev/null and b/research/repair-2026-10-10/classic-signals.npz differ
diff --git a/research/repair-2026-10-10/final-gpu.log b/research/repair-2026-10-10/final-gpu.log
new file mode 100644
index 0000000..a0eec1a
--- /dev/null
+++ b/research/repair-2026-10-10/final-gpu.log
@@ -0,0 +1,3 @@
+........................................................................ [ 97%]
+..                                                                       [100%]
+74 passed in 242.15s (0:04:02)
diff --git a/research/repair-2026-10-10/final-unit.log b/research/repair-2026-10-10/final-unit.log
new file mode 100644
index 0000000..94efba2
--- /dev/null
+++ b/research/repair-2026-10-10/final-unit.log
@@ -0,0 +1,3 @@
+........................................................... [ 45%]
+.......................................................................  [100%]
+130 passed, 13 subtests passed in 33.12s
diff --git a/research/repair-2026-10-10/provenance.json b/research/repair-2026-10-10/provenance.json
new file mode 100644
index 0000000..25e22b4
--- /dev/null
+++ b/research/repair-2026-10-10/provenance.json
@@ -0,0 +1,30 @@
+{
+  "python": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "python_version": "3.10.13",
+  "package": "/home/frank14f/CelerisLab/src/CelerisLab/__init__.py",
+  "compiler": "/home/frank14f/CelerisLab/src/CelerisLab/cuda/compiler_v2.py",
+  "kernel_source": "/home/frank14f/CelerisLab/src/CelerisLab/lbm/kernels/kernel_v2.cu",
+  "git_head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "protected_user_files_unchanged": {
+    "src/CelerisLab/lbm/kernels/config/config_grid.h": true,
+    "src/CelerisLab/lbm/kernels/config/config_method.h": true,
+    "src/CelerisLab/lbm/kernels/config/config_objects.h": true,
+    "src/CelerisLab/lbm/kernels/config/config_physics.h": true,
+    "tests/postproc/experiment.ipynb": true
+  },
+  "final_checks": {
+    "unit": {
+      "passed": 124,
+      "subtests_passed": 8,
+      "exit_code": 0,
+      "seconds": 26.72,
+      "log": "final-unit.log"
+    },
+    "gpu": {
+      "passed": 66,
+      "exit_code": 0,
+      "seconds": 190.25,
+      "log": "final-gpu.log"
+    }
+  }
+}
diff --git a/research/repair-2026-10-10/repair-architecture.md b/research/repair-2026-10-10/repair-architecture.md
new file mode 100644
index 0000000..12051c3
--- /dev/null
+++ b/research/repair-2026-10-10/repair-architecture.md
@@ -0,0 +1,71 @@
+# Architecture repair — 2026-10-10
+
+Scope: config loading/validation, isolated compilation, CUDA ownership, import boundary and package metadata. Parent owns Simulation integration; this agent additionally edited only its constructor exception handler and `close()` with explicit parent authorization. No generated source headers/PTX, default JSON, external repository or environment was edited by this agent. Existing user changes remain.
+
+## Reference and design constraints
+
+Read `.github/skills/lbm-ref-architecture-guard/SKILL.md`, the repair BRIEF and prior audit before editing. These are lifecycle/configuration fixes, not new CFD algorithms: accepted physics are the existing low-Mach D2Q9 paths, with exact configuration preservation, independent instance ownership and no accidental configuration fallback as acceptance conditions.
+
+- `ref/lbmpy_analysis.md` §§10.2, 12.1–12.2 describes a configuration → generated kernel → compiled callable pipeline and configuration-dependent caching. The relevant lesson is to bind inputs and artifacts. Its recommendation to replace JSON is **not** adopted: JSON remains the user configuration authority, existing dataclasses remain the validation bridge.
+- The same reference distinguishes physics, execution and hardware configuration. This repair introduces only an allocation signature to reject incompatible recompilation; it does not import a new configuration hierarchy, plugin framework or disk cache.
+- [PyCUDA Devices and Contexts](https://documen.tician.de/pycuda/driver.html#devices-and-contexts): `make_context()` makes the new context current, `push()`/`pop()` manage current-thread activation, and `detach()` releases ownership. Thus closing A while B is current must not pop B.
+- [Python Context Variables](https://docs.python.org/3/library/contextvars.html) supports context-local legacy build convenience; explicit `build_dir` is the robust contract for interleaving independent builds in one context.
+- Historical constraints from the preceding study remain: keep the public orchestration style, pending-body discard and runtime dense IDs; no universal service framework and no AMR/jet implementation in this repair.
+
+## Disposition
+
+| Finding | Result | Concrete change / remaining limit |
+|---|---|---|
+| ARCH-01 shared generated headers/PTX | Fixed | Every generation creates a private kernel snapshot, writes headers there, and compiles a private PTX. Unique temporary output + atomic replace avoids partially visible PTX. Configuration, source digest, architecture/options and PTX digest accompany artifacts. Context-local defaults preserve sequential legacy calls; Simulation passes explicit paths and owns cleanup. No build cache introduced. |
+| ARCH-02 density truncation | Fixed | Physics and method floats use round-trip literals rather than display precision (`rho=1.04` stays 1.04; 0.04 stays nonzero). |
+| ARCH-03 missing explicit config fallback | Fixed | Missing/empty explicit path raises `FileNotFoundError`; search fallback occurs only for `None`. |
+| ARCH-04 CUDA ownership | Fixed at orchestration boundary | Constructor balances its implicit push. `activate()` balances operation scopes; `close()` detaches its owner without popping another. `context_bound` handles nested calls and permits low-level objects lacking an attached context. Root attaches `field.ctx`, scopes Simulation construction and GPU calls. Same-instance simultaneous caller operations remain outside the contract; this is not a thread-safe solver scheduler. |
+| ARCH-05 incompatible recompilation | Fixed with root integration | Signature covers lattice/dimensions, computational type, storage precision, shifting and streaming. Simulation rejects structural changes while preserving allocations. Collision/block-size changes rebuild the stepper; changed viscosity refreshes runtime omega, unchanged viscosity preserves explicit runtime overrides. A mutable config still requires explicit `recompile()` for compile-time method changes. |
+| ARCH-06 validation assertions/fixtures | Root ownership | No claim from these architecture tests that all validation experiments pass. |
+| ARCH-07 Python floor | Fixed declaration | Existing evaluated union syntax requires Python 3.10; setup/pyproject minimum and classifiers now agree. Package version agrees at 0.5.1. No syntax backport. |
+| Pure CPU import isolation | Fixed | Root/common/lbm/body package initializers load GPU facades lazily; compiler imports driver only when loading PTX. Config, equilibrium, geometry and artifact generation no longer require importing PyCUDA. GPU facade access still requires its dependency. |
+| D3 advertised capability | Explicitly restricted | `validate()` keeps legitimate D3 schema/local-operator research. `validate_runtime()` rejects D3 Simulation before allocation/build because boundary/auxiliary/object paths remain incomplete. Numerical D3 local repairs do not imply a complete runtime. |
+
+Validation now explicitly rejects unknown configuration enums, nonpositive/nonintegral dimensions/block sizes, block sizes above 1024, nonfinite numerical values and invalid density/viscosity/guard/damping values. These checks remain active under optimized Python, unlike assertions. Device-specific limits beyond the CUDA block maximum remain a runtime/compiler concern.
+
+## Minimal API and changed files
+
+```python
+build_dir = compiler.generate_config(cfg, n_objects)
+ptx = compiler.compile_kernel(arch=arch, build_dir=build_dir)
+module = compiler.load_module(ptx)
+# caller later releases resources and their private source/artifact directory
+compiler.cleanup_build_dir(build_dir)
+
+with ctx.activate():
+    # allocate/use/free GPU resources owned by this context
+    ...
+ctx.close()
+```
+
+`generate_config(); compile_kernel(); load_module()` remains available within one Python context. Interleaved callers should use returned paths. A failed compile clears implicit last-PTX selection while preserving an explicitly addressed older artifact; it cannot silently load previous code as the latest result. Cleanup refuses paths without the compiler marker and refuses the package kernel directory.
+
+Files: `config.py`; `cuda/compiler_v2.py`, `cuda/context.py`, `cuda/__init__.py`; package/common/lbm/body `__init__.py`; `pyproject.toml`, `setup.py`; `configs/CONFIG.md`. Parent integrates `simulation.py`; the later explicitly delegated cleanup change adds preflight active-operation rejection, retry after synchronize/detach/directory-cleanup failures, and preservation of the original constructor exception if best-effort cleanup also fails. Constructor rollback cannot guarantee release after a driver failure; it preserves the useful primary error rather than replacing it.
+
+## Verification
+
+Executed with `PYTHONPATH=src` and `/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python`:
+
+```text
+python -m pytest tests/unit/test_build_contracts.py \
+    tests/unit/test_context_ownership.py tests/unit/test_simulation_lifecycle.py -q
+18 passed, 8 subtests passed in 0.37s
+```
+
+- Build tests read actual generated headers and simulate the compiler invocation to prove two simultaneous configurations remain isolated, explicit interleaving retains the intended inputs, source header hashes do not change, output traversal is refused, cleanup is owned/idempotent and failed compilation cannot implicitly select a previous PTX.
+- Config tests cover rho/method literal fidelity, explicit missing paths, invalid values, structural signature and D3 schema/runtime distinction. A subprocess explicitly blocks `pycuda` while importing config/equilibrium/circle/compiler.
+- Context tests execute the real context implementation against a driver-stack model: A/B nesting, non-LIFO close, active close refusal, exception unwinding, repeated close and nested/no-context decorators.
+- Lifecycle tests execute real Simulation cleanup with a CPU owner model: active close preserves resources; synchronize/detach/directory errors are retryable; constructor cleanup does not replace the original failure.
+
+These are bounded CPU tests with explicitly modeled driver/compiler operations, **not** GPU validation or performance qualification. Parent performs isolated NVCC and actual V100 checks across repaired numerical/state paths. Source snapshotting adds construction/recompile I/O; it adds no per-lattice-cell work. Activation adds per-entry Python/driver overhead; its cost is not benchmarked here. Production fused kernels and module layout remain unchanged.
+
+## One cross-review of state integration
+
+Reviewed checkpoint v2 geometry/projection/role validation, v1 limitations, host-control restoration, parameter-study viscosity handling, field snapshot parity, context decorators, pinned scratch ownership and manager action staging. Accepted the actual boundary: low-frequency scratch operations synchronize before freeing their host/device buffers; `run()` synchronizes before action staging can be reused. No blanket claim of arbitrary concurrent manager use.
+
+Sent two actionable issues to owners: (1) parent `run(checkpoint_interval)` must increment the observation normalization count per completed batch before saving, and synchronize the selected stream before saving; (2) checkpoint scalar metadata should be fully coerced/validated before host/device writes, including malformed runtime parameters/observation counts. Owners handle these in their scopes. This is the single requested cross-review, not a new ledger or ongoing architecture expansion.
diff --git a/research/repair-2026-10-10/repair-numerical.md b/research/repair-2026-10-10/repair-numerical.md
new file mode 100644
index 0000000..0c5757f
--- /dev/null
+++ b/research/repair-2026-10-10/repair-numerical.md
@@ -0,0 +1,66 @@
+# Numerical repairs — 2026-10-10
+
+Owner `/root/numerical`. User-authorized repairs, not jet/AMR implementation. Scope: numerical CUDA operator/boundary/step headers, `lbm/stepper.py`, permanent actual-operator regressions. No generated repository config headers, PTX, simulation.py, environment or GPU state modified by this agent. Historical audit scripts/results are retained as evidence, not rewritten to conceal their original failures.
+
+## Reference and design review before edits
+
+Read repository architecture guard. Applicable physics/acceptance: advertised D2Q9/D3Q19 SRT/TRT/MRT local mass/momentum/equilibrium invariants, low-Mach nonuniform closed-channel FP32 reference, same-time storage conversion, moving impermeable wall; no production-Re extrapolation. Code path mapped from `LBMStepper.step` to collision dispatch, force-region postpass, EsoPull sync, curved-wall prepass and in-place step. Historical `b110591` explicitly introduced force_region as an operator-split correction; `6e3756c` introduced initialization-compatible EsoPull semantics. Those intentional choices are retained.
+
+Reference set (local checked-in sources):
+
+1. `ref/lbmpy/src/lbmpy/forcemodels.py`, Guo lines 273–300: source correction is `M^-1 (I-S/2) M Fin`, with half-force equilibrium velocity. A single SRT scalar is not the general MRT/TRT correction.
+2. Same file, EDM lines 493–510: equilibrium difference at `u+F/rho` minus equilibrium at `u`. For the repository's quadratic equilibrium, raw Guo source at midpoint `u+F/(2rho)` is exactly this difference. It preserves the existing post-step force-density interface without claiming equivalence to collision-integrated global Guo at all orders.
+3. `ref/lbmpy/src/lbmpy/boundaries/boundaryconditions.py`, UBB lines 909–935: fluid-to-wall outgoing direction maps to opposite reflected population with **negative** wall-velocity correction; compressible convention multiplies by density. Also inspected NoSlipLinearBouzidi for interpolation branch context.
+4. `ref/FluidX3D/src/kernel.cpp`, load/store around 1333–1343 and streaming section: paired EsoPull layout is a parity-dependent mapping. Same-time conversion must invert the read addresses; advancing store is a different operation. Actual CelerisLab initialization and caller time-count evidence determine which stage is used here.
+5. `ref/LBM_boundary_methods_for_stable_high_Re.md` and current source descriptors informed scope: existing west inlet is a ghost-source scheme; only its algebraic shifted-weight restoration is repaired. No general stability claim or boundary-method replacement.
+
+## Dispositions
+
+| Finding | Status | Repair and preserved design |
+|---|---|---|
+| NUM01 global TRT/MRT force | confirmed / fixed | TRT source split into even/odd rates. MRT adds half source before linear relaxation and half after, exactly implementing the model-specific relaxation matrix. Existing half-force velocity and model rates remain. D2 entire vector checked against independent moment-matrix oracle. |
+| NUM02 force-region underforcing | confirmed / fixed | Keep sparse post-step split impulse and public fx/fy force-density semantics. Remove spurious collision scalar. Midpoint source equals exact equilibrium difference, including second moments. Actual ForceRegionKernel regression checks full vector with non-unit rho, nonzero velocity, opposite signed forces and both layouts/parities. Overlapping actual fluid footprints are rejected by state owner's compact-list validation to avoid duplicate writers. |
+| NUM03 full D3 entrypoint compile | confirmed / runtime capability rejected; implementation deferred | Architecture/root add `validate_runtime()` rejection for D3 Simulation. Legal schema and local D3 operator tests remain possible. Isolated complete D3 entrypoint still fails 18 dimension-mismatch errors in aux/sync. This round does **not** claim D3 solver support or complete dimension-qualified boundaries. |
+| NUM03b shifted D3 MRT | confirmed / local operator fixed | D3 projection uses `g-feq` in the same representation. Removed inconsistent physical-unshift/shift around compile-time shifted equilibrium. Equilibrium/force local regression covers shift on/off. |
+| NUM04 same-t EsoPull write | confirmed / fixed | Store uses exactly `esopull_src_cell` and `esopull_slot`, inverse to read at identical count, never the advancing store mapping. Nonuniform exact-address inverse at t=0,1,2,3. |
+| NUM05 sync collision/shift | confirmed / fixed | Encode only subtracts weights when needed and encodes at same count. No unsolicited collision of patch/halo. Actual decode/encode preserves arbitrary nonequilibrium populations within FP32 conversion roundoff. |
+| NUM06 moving wall | confirmed / fixed | Fluid→solid direction gets negative moving-wall reflection correction. Both paths use local physical density consistent with compressible equilibrium; EsoPull obtains density from pre-streaming donors. q<1/2, q≥1/2 and fallback retained. No omega API sign change. |
+| NUM07 EsoPull y-wall stage/race | confirmed / fixed | New read-only `PrepareEsoPullWalls` snapshots 3 donors × 2 rows before any curved/source/in-place mutation. Main step reads compact scratch. t=0 uses initialization-aware helper; later t uses previous spatial postcollision values. Pure double-buffer helpers no longer use timestep as a storage-mode sentinel. |
+| Shifted inlet density closure | confirmed / fixed | Both descriptor-weight sums equal 1; replace 5/6 and 19/18. Preserve existing west ghost-source boundary schemes, timing and damping. |
+| LES model-family differences | design retained | No unsupported claim that closed-form and iterative LES are interchangeable, no change to LES definition. |
+
+## Phase and interface details
+
+`load_physical_node_esopull(k,t)` reconstructs the next pull state at the completed count. Its spatial meaning is not the same-cell postcollision state reconstructed by `load_physical_dir_pre_streaming`. Decode/encode and snapshot restore retain the existing next-pull interpretation. No clock advancement is hidden in encoding.
+
+`EsoPullStep` now takes `const float* wall_values` immediately before `t`. `LBMStepper` allocates `2*nx*3*sizeof(float)` scratch and launches the prepass on the same stream before `_launch_curved`. This costs one small boundary launch and `24*nx` bytes; no performance-neutrality claim is made. Separating preparation from writes removes the added wall cross-thread read/write hazard; it is not a blanket race proof for all existing inlet/outlet schemes.
+
+Force-region updates remain split and distinct from global collision-integrated Guo. Target momentum per cell per step is F. Macroscopic interpretation with time-dependent forces must respect each scheme's stage; no new global half-force convention or external control semantics is introduced. D2 Guo collision full-vector oracle checks more than momentum rescaling.
+
+## Verification
+
+Permanent tests: `tests/unit/test_numerical_operators.py` and two `tests/unit/cpp/*_regression.cpp` fixtures. All C++ uses actual repository headers/kernels with CPU CUDA-qualifier shims; no copied production arithmetic replaces the invoked operators. Python contains independent D2 matrix/TRT references. Optional nvcc tests copy the kernel tree and edit **only temporary headers**, then emit temporary PTX.
+
+Command:
+
+```text
+PYTHONPATH=/home/frank14f/CelerisLab/src /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_numerical_operators.py -q
+```
+
+Coverage:
+
+- 12 local dispatch cases: both dimensions × shift on/off × SRT/TRT/MRT, each at omega .7/1.25/1.8, non-unit density, nonzero velocity and nonequilibrium. Mass/momentum increments, D2 full-vector relaxation, equilibrium invariance and inlet closure.
+- 12 semantic cases: D2 models × shift × no-slip/free-slip. Same-time nonuniform encoding, actual no-edit sync, actual wall prepass at initialization and both later parities, moving-wall all directions/branches with rho1.17, actual force-region kernel, and four actual closed-channel steps compared at identical postcollision spatial phase between double-buffer and EsoPull. x periodic, no inlet/outlet donors; this is a deterministic CPU schedule check, not GPU concurrency validation.
+- 12 isolated D2 entrypoint compile cases: collision × shift × FP32/FP16S, covering both entrypoints and both wall branches. FP16S is compile coverage only in this agent's work.
+
+Initial 28-test run passed (before expanding semantic cases to all collision models); final expanded result is recorded below. FP32 summation tolerance permits four unit-density epsilons (5e-7) for D3 19-term accumulation; this is separated from per-population vector tolerances. Original bugs exceed tolerances by orders of magnitude.
+
+GPU execution is owned by root, to prevent source/cache/device competition. Add root's observed GPU outcomes separately; no GPU or long-flow claims are inferred from these local tests. High-Re stability, curved-body force/torque convergence, inlet/outlet in-place race audit, LES combinations, complete D3 and performance remain beyond the demonstrated surface.
+
+### Cross-review and GPU handoff
+
+State owner independently accepted same-count inverse addresses, encode-without-collision, and staging before curved/in-place writes on the same stream. I reviewed `field.py` snapshot/restore and `common/checkpoint.py` and reran `tests/unit/test_state_regressions.py`: **21 passed**. Field-only snapshots decode at save count and encode at current count without resetting time. The t=0 initialization special pre-streaming mapping means restoring an initial field at later time promises restored next-pull field, not reproduction of the original initialization step. Full checkpoint restores raw storage plus original count and is the restart mechanism.
+
+Expanded semantic CPU run: **12 passed**, covering all SRT/TRT/MRT, shifted/unshifted, no-slip/free-slip combinations. Together with 12 local-operator cases and 12 isolated compilation cases, all **36** permanent numerical cases have been exercised successfully across the recorded focused runs.
+
+Added `tests/integration/test_numerical_gpu.py` for root's coordinated execution: 18 bounded FP32 cases (4 nonuniform closed-channel layout comparisons over four steps, 4 actual t=0 initialization/staged-wall cases, 6 global-force momentum cases, 4 force-region total impulse cases). Syntax checked; this agent has not run GPU. The layout comparison constructs identical **spatial postcollision** input at completed count 1, rather than incorrectly comparing DB postcollision diagnostics with EsoPull next-pull diagnostics. Actual t=0 initialization is checked separately. No FP16 runtime or quantization tolerance is silently substituted.
diff --git a/research/repair-2026-10-10/repair-state.md b/research/repair-2026-10-10/repair-state.md
new file mode 100644
index 0000000..3c7f2d5
--- /dev/null
+++ b/research/repair-2026-10-10/repair-state.md
@@ -0,0 +1,75 @@
+# 状态与对象修复报告
+
+2026-10-10，state agent。按用户新授权实施局部修复；未实现 jet/AMR，未改外部 DynamisLab、原始生成头或 PTX。Simulation 集成由 root 负责。
+
+## 范围与依据
+
+已读 `BRIEF.md` 与 `.github/skills/lbm-ref-architecture-guard/SKILL.md`，复查当前 public API→ObjectManager→patch/field→checkpoint 链及 git 历史 `987566c`（runtime body sync）、`04c2bc7`（obs interval）。保留已有 runtime pending/discard 和 sync 重编号设计。物理约束为已有 D2Q9 topology patch、FP32/FP16S、两种 streaming 的地址/编码/阶段不变量；不以未知生产 Re/Ma 阻碍修复这些代数错误。
+
+编码与阶段参考：
+
+- `ref/FluidX3D/src/lbm.cpp:409–414`：FP16S 存储乘 32768、读回除 32768；host 局部 patch 也必须走同一编码。
+- `ref/FluidX3D/src/kernel.cpp:1332–1346`：Esoteric Pull 的 load/store 空间映射和时间奇偶不同；推进 store 不是同 count 的读写逆。
+- `ref/FluidX3D/src/kernel.cpp:1141–1154`：新流体邻域只从 fluid donor 构建宏观量；本次保留原 BFS 方案，修正其实际读取布局。
+- `ref/FluidX3D_analysis.md` §2.1/2.2：本地设计背景；核实公式以实际参考代码及本库 descriptors/storage 为准。
+- PyCUDA async H2D/D2H 要求 page-locked host buffer。永久测试以拒绝 pageable async 的 driver double 验证调用契约；实际 GPU 验证由 root 统筹。
+
+## 逐项处置
+
+| 审查项 | 处置 | 具体边界 |
+|---|---|---|
+| STATE-01 Q-major vs AoS | fixed | body patch 全部按 `field.ddf.reshape(nq,n)[:,cell]` 访问。EsoPull compact scratch 仍是 cell-major；root 修正 scatter/gather 转换 |
+| STATE-02 shift/FP16 越界 | fixed | field `_encode_ddf` 是整场/局部编码共用实现；patch 按方向与连续 cell 段上传，用实际 store_bytes，未改 cells 的 GPU 字节保持原样 |
+| STATE-03 force action 丢失 | fixed | set_force 同时更新现有 force-region `state.vx/vy` aliases；set_body_state 同步 omega。全 action refresh、重编号与 checkpoint 不再丢另一对象控制；未新建第三份控制架构 |
+| STATE-04 pre-init ID holes | fixed with explicit ID rule | 立即 remove 后将剩余 registry dense 重编号，刷新 action；已有 runtime sync 重编号不变。之前返回的 numeric IDs 失效，由公开 remove 文档说明 |
+| STATE-05 checkpoint state/geometry/action | fixed, versioned | v2 保存实际 geometry/role/projection 指纹、host state/control、runtime params、已应用 device action 与 obs interval；不同几何先拒绝，匹配几何重建 compact lists/action。相同 count 不再充当 geometry 相等证明 |
+| STATE-06 same-step cache | fixed | load 后始终 invalidate_host_ddf_cache，即使恢复 step 等于缓存 step |
+| STATE-07 field snapshot parity | fixed; field-only design retained | snapshot 不回退 clock/body/control。EsoPull 保存 same-count next-pull 物理分布，restore 按当前 count 编码；direct field EsoPull 调用缺 step_id 报错。精确时间回退用 checkpoint |
+| STATE-08 overlay changes solid | fixed | 先合成 solid occupancy，再只对 fluid 加 sensor/force annotations；compact lists 过滤 solid，sensor count 按有效 footprint 更新；实际 fluid footprint 重叠的多个 force_region 明确拒绝，以免并行同 cell 写竞争 |
+| STATE-09 async pageable buffers | fixed | action 使用持久 pinned staging；EsoPull scratch pinned，encode 完成后才 free；compact SoA stream upload 使用 pinned staging 并在返回前同步。无 stream 路径使用同步复制 |
+
+`field` 的 GPU 入口添加 architecture 提供的 `context_bound`。root 将 `field.ctx` 绑定实例 owner；独立低层 field 未附 ctx 时保留“调用者已使 context current”的原约定，CPU driver-double 方法仍可运行。
+
+## Checkpoint 兼容性与选择
+
+v2 读档在 GPU 写之前检查：lattice/extent/precision/streaming/shifting，dense IDs、geometry/role、实际投影指纹、重建 flags、array shape/dtype 与非负 step。不同几何不自动替换用户 case；调用者需构造匹配 case。匹配状态恢复后重建 host action、compact lists、params 与 obs，缓存失效。已应用 device action 单独保存，以保留 host 新目标尚未上传时的 `run(upload_act=False)` 时序。runtime params、obs interval 与 object state/control 在设备写之前完成转换和有限性检查。
+
+保留有意的 collision/LES 等 parameter-study restart。若 viscosity 改变，使用当前 config 的 omega；不让 saved omega 覆盖用户新黏性。相同黏性可恢复原 runtime omega/forcing。
+
+安全 v1 兼容范围：内置 CircleGeometry 的 circle/sensor，位置/半径/type/flags 必须一致；缺失 obs 明确清零 interval。v1 force_region 未保存真实控制，拒绝该类型并给出具体错误，不虚构恢复值；custom geometry 也不猜测。v1 无法恢复它从未记录的任意 runtime param，未宣称旧档具有 v2 完整性。
+
+snapshot 明确保留 field-only 公共语义：跨奇偶恢复保证所保存的 next-pull 物理 field，不恢复时间与控制，也不声称恢复 t=0 初始化的特殊 wall 分支或整个运行历史。禁止把它描述成完整 checkpoint。
+
+## 改动文件
+
+- `src/CelerisLab/body/ddf_patch.py`
+- `src/CelerisLab/body/manager.py`
+- `src/CelerisLab/body/preprocess/flag_overlay.py`
+- `src/CelerisLab/lbm/field.py`
+- `src/CelerisLab/lbm/curved_links.py`
+- `src/CelerisLab/common/checkpoint.py`
+- `tests/unit/test_state_regressions.py`
+- `tests/integration/test_state_gpu.py`（13 个有界 GPU cases，交 root 运行）
+
+新增测试使用真实 class/method 与真实 h5py HDF5。仅 driver/device allocation/kernel invocation 用隔离 double；不是 AST 摘录、不是另写一份 host 实现。double 对每次复制检查 allocation 边界，async 时检查 pinned 来源；snapshot 的简化 parity 映射只检查 host 阶段协议，真实 EsoPull CUDA 数学由 numerical 的 actual-header 测试和 root GPU 验证负责。
+
+## 实测
+
+导入来源已核对为 `/home/frank14f/CelerisLab/src/CelerisLab/__init__.py`，解释器明确为 `/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python`。
+
+```
+PYTHONPATH=/home/frank14f/CelerisLab/src \
+/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest \
+ tests/unit/test_state_regressions.py tests/unit/test_body_flags.py \
+ tests/unit/test_pending_edits.py tests/unit/test_sync_plan.py -q
+```
+
+**60 passed**（0.38 s，2026-10-10 最终 state 范围）。覆盖四种 precision×shift、Q-major BFS donor、无关 cell 字节、control→remove→sync、双顺序 overlay、有效 sensor counts、force overlap rejection、pinned action/scratch/compact、field-only snapshot parity、checkpoint v2 roundtrip/拒绝前零设备写/同step缓存/黏性参数研究及 v1 兼容范围、malformed metadata 的拒绝前零设备写、host pending/device applied action 分别恢复。
+
+## 交叉复核与剩余验证
+
+已复核 numerical 的 same-time store 使用与 load 相同的 `src_cell + slot`，Encode 不碰撞且先转 shifted 表示；PrepareEsoPullWalls 在 curved apply 和 in-place streaming 之前同 stream 完成，pre-stream donors 不再被后续写入污染。接受其阶段修复。architecture 已独立复核 checkpoint/context/lifetime，接受核心修复；指出的 metadata late coercion 已修复并加入回归。其指出的 interval checkpoint obs 计数与外部 stream 同步由 root 修复。numerical 也独立读 field/checkpoint 并重跑 state 回归通过。
+
+本 agent 独立重跑 `tests/unit/test_numerical_operators.py`：**36 passed**（28.57 s），支持上述跨模块复核。本 agent 未运行 GPU；root 已收到 ready 通知，并负责真实 CUDA、集成、资源关闭与 TRON handoff。D3 geometry topology patch 仍未实现，不在此修复中伪装支持。BFS 仍是已有的新流体初始化策略，本轮未给动态运动边界新增守恒算法或稳定性保证。
+
+GPU 专项测试覆盖：4 个 EsoPull snapshot precision×shift 跨一步 parity；4 个 shifted topology add/remove；2 个两布局 checkpoint bitwise continuation；geometry mismatch 不修改设备；interval checkpoint observation normalization；host pending/device applied controls 的 upload_act=False 续跑。这里记录测试定义，不提前宣称 GPU 通过；实测由 root 最终日志给出。
diff --git a/research/repair-2026-10-10/simplification-checks.log b/research/repair-2026-10-10/simplification-checks.log
new file mode 100644
index 0000000..fa9d464
--- /dev/null
+++ b/research/repair-2026-10-10/simplification-checks.log
@@ -0,0 +1,13 @@
+................................................................ [ 45%]
+........................................................................ [ 96%]
+.....                                                                    [100%]
+141 passed, 8 subtests passed in 77.58s (0:01:17)
+
+Boundary isolation regression on GPU 0:
+..xx                                                                     [100%]
+=========================== short test summary info ============================
+XFAIL tests/integration/test_numerical_gpu.py::test_curved_layout_equivalence_isolates_open_boundary[False-0.0] - Known unfixed EsoPull inlet/outlet donor phase mismatch; live neighbor reads also need staging
+XFAIL tests/integration/test_numerical_gpu.py::test_curved_layout_equivalence_isolates_open_boundary[False-0.002] - Known unfixed EsoPull inlet/outlet donor phase mismatch; live neighbor reads also need staging
+2 passed, 18 deselected, 2 xfailed in 22.30s
+
+CLI reporting exit-status replay, GPU results mocked: Kan99b good/bad=0/1, Sah04 good/bad=0/1.
diff --git a/research/surface_actuation_20261014/baseline.json b/research/surface_actuation_20261014/baseline.json
new file mode 100644
index 0000000..0ad0688
--- /dev/null
+++ b/research/surface_actuation_20261014/baseline.json
@@ -0,0 +1,387 @@
+{
+  "copy_dir": "/tmp/celeris-surface-baseline-i8y0r5qt",
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+}
diff --git a/research/surface_actuation_20261014/cpu_checkpoint_run.json b/research/surface_actuation_20261014/cpu_checkpoint_run.json
new file mode 100644
index 0000000..39681b6
--- /dev/null
+++ b/research/surface_actuation_20261014/cpu_checkpoint_run.json
@@ -0,0 +1,18 @@
+{
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+    "-m",
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+    "tests/unit/test_state_regressions.py",
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+  "cwd": "/home/frank14f/CelerisLab",
+  "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+  "exit_code": 0,
+  "elapsed_seconds": 2.0994309099623933,
+  "peak_child_RSS_KiB": 142300
+}
diff --git a/research/surface_actuation_20261014/cpu_checkpoint_stdout.txt b/research/surface_actuation_20261014/cpu_checkpoint_stdout.txt
new file mode 100644
index 0000000..929e4b8
--- /dev/null
+++ b/research/surface_actuation_20261014/cpu_checkpoint_stdout.txt
@@ -0,0 +1,2 @@
+..............................                                           [100%]
+30 passed, 13 deselected in 0.63s
diff --git a/research/surface_actuation_20261014/cpu_initial.txt b/research/surface_actuation_20261014/cpu_initial.txt
new file mode 100644
index 0000000..29213c5
--- /dev/null
+++ b/research/surface_actuation_20261014/cpu_initial.txt
@@ -0,0 +1,6 @@
+Captured from tool stdout; elapsed below is pytest-reported, no RSS measurement for this first CPU run.
+Command: env PYTHONPATH=/home/frank14f/CelerisLab/src PYTHONDONTWRITEBYTECODE=1 PYTHONNOUSERSITE=1 OPENBLAS_NUM_THREADS=1 /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest -q -p no:cacheprovider tests/unit/test_numerical_operators.py::test_actual_semantic_and_auxiliary_kernels[0-0-0] tests/unit/test_state_regressions.py
+............................................ [100%]
+44 passed in 1.60s
+Exit: 0
+Subsequent checkpoint version edits were rechecked separately in cpu_checkpoint_stdout.txt (30 pass).
diff --git a/research/surface_actuation_20261014/cpu_surface_command.txt b/research/surface_actuation_20261014/cpu_surface_command.txt
new file mode 100644
index 0000000..6d8c615
--- /dev/null
+++ b/research/surface_actuation_20261014/cpu_surface_command.txt
@@ -0,0 +1 @@
+PYTHONPATH=src /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -m pytest tests/unit/test_surface_actuation.py -q
diff --git a/research/surface_actuation_20261014/cpu_surface_exit.txt b/research/surface_actuation_20261014/cpu_surface_exit.txt
new file mode 100644
index 0000000..573541a
--- /dev/null
+++ b/research/surface_actuation_20261014/cpu_surface_exit.txt
@@ -0,0 +1 @@
+0
diff --git a/research/surface_actuation_20261014/cpu_surface_stdout.txt b/research/surface_actuation_20261014/cpu_surface_stdout.txt
new file mode 100644
index 0000000..ee9237f
--- /dev/null
+++ b/research/surface_actuation_20261014/cpu_surface_stdout.txt
@@ -0,0 +1,2 @@
+...............................                                          [100%]
+31 passed in 0.41s
diff --git a/research/surface_actuation_20261014/gpu_run.json b/research/surface_actuation_20261014/gpu_run.json
new file mode 100644
index 0000000..dc8f87e
--- /dev/null
+++ b/research/surface_actuation_20261014/gpu_run.json
@@ -0,0 +1,37 @@
+{
+  "preflight_gpu": "0, GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c, Tesla V100-SXM2-16GB, 5, 16140, 0\n1, GPU-f1c9fd5a-e917-56e0-21fb-24035ba44a36, Tesla V100-SXM2-16GB, 5, 16140, 0\n2, GPU-b8c11c01-c91f-aa0b-abf6-dad35085cc76, Tesla V100-SXM2-16GB, 5, 16140, 0\n3, GPU-8b71b032-1b75-2891-935c-ce106a53034a, Tesla V100-SXM2-16GB, 5, 16140, 0",
+  "preflight_apps": "",
+  "preflight_ram_bytes": 64105783296,
+  "physical_gpu_uuid": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+  "command": [
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-c",
+    "import CelerisLab,pytest; print('SOURCE', CelerisLab.__file__, flush=True); assert CelerisLab.__file__.startswith('/home/frank14f/CelerisLab/src/'); raise SystemExit(pytest.main(['-q','-p','no:cacheprovider','tests/integration/test_surface_actuation_gpu.py']))"
+  ],
+  "cwd": "/home/frank14f/CelerisLab",
+  "env": {
+    "PYTHONPATH": "/home/frank14f/CelerisLab/src",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "OPENBLAS_NUM_THREADS": "1",
+    "CUDA_VISIBLE_DEVICES": "GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c",
+    "CUDA_CACHE_DISABLE": "1",
+    "TMPDIR": "/tmp/celeris-surface-gpu-cds7v5w9"
+  },
+  "preflight_temp_bytes": 1635096,
+  "limits": {
+    "wall_seconds": 120,
+    "temp_bytes": 2000000000,
+    "ram_reserve_bytes": 6410578329,
+    "vram_reserve_MiB": 1614
+  },
+  "note": "Sampled own-process-group resource monitor, no fixed RSS or address-space limit.",
+  "exit_code": 0,
+  "elapsed_seconds": 21.4096016229596,
+  "peak_group_rss_bytes": 397094912,
+  "peak_temp_bytes": 3579568,
+  "min_ram_bytes": 63571013632,
+  "min_vram_free_MiB": 15826,
+  "termination_reason": null,
+  "scratch_removed": true
+}
diff --git a/research/surface_actuation_20261014/gpu_stdout.txt b/research/surface_actuation_20261014/gpu_stdout.txt
new file mode 100644
index 0000000..b262891
--- /dev/null
+++ b/research/surface_actuation_20261014/gpu_stdout.txt
@@ -0,0 +1,3 @@
+SOURCE /home/frank14f/CelerisLab/src/CelerisLab/__init__.py
+......                                                                   [100%]
+6 passed in 19.80s
diff --git a/research/surface_actuation_20261014/incremental.diff b/research/surface_actuation_20261014/incremental.diff
new file mode 100644
index 0000000..43090a1
--- /dev/null
+++ b/research/surface_actuation_20261014/incremental.diff
@@ -0,0 +1,1065 @@
+--- a/src/CelerisLab/body/__init__.py
++++ b/src/CelerisLab/body/__init__.py
+@@ -2,7 +2,7 @@
+ """
+ Body / object management for immersed and rigid objects.
+ """
+-from .objects import SimObject, ObjectState, ObjectControl
++from .objects import SimObject, ObjectState, ObjectControl, SurfaceActuation
+ from importlib import import_module
+ from .registry import BodyRegistry
+ from .sync_plan import BodySyncPlan
+@@ -11,7 +11,7 @@
+ from .coupling.soa_packer import pack_cut_links_to_soa, pack_sensor_to_soa
+ 
+ __all__ = [
+-    "SimObject", "ObjectState", "ObjectControl",
++    "SimObject", "ObjectState", "ObjectControl", "SurfaceActuation",
+     "ObjectManager",
+     "BodyRegistry",
+     "BodySyncPlan",
+--- a/src/CelerisLab/body/manager.py
++++ b/src/CelerisLab/body/manager.py
+@@ -108,6 +108,7 @@
+     # -- Registry delegation -------------------------------------------------
+     def add(self, obj: SimObject) -> int:
+         """Register an object and return its id."""
++        obj.validate_surface_actuation(self.cfg)
+         body_id = self._registry.add(obj)
+         self._resize_buffers()
+         return body_id
+@@ -160,6 +161,7 @@
+         The object is not added to the formal registry until ``commit_pending()``
+         is called.  This implicitly activates the edit window.
+         """
++        obj.validate_surface_actuation(self.cfg)
+         self._edit_active = True
+         self._pending_add.append(obj)
+ 
+@@ -201,7 +203,8 @@
+             new = SimObject(obj_id=oid, geometry=obj.geometry,
+                             center=obj.center, radius=obj.radius,
+                             is_sensor=obj.is_sensor,
+-                            is_force_region=obj.is_force_region)
++                            is_force_region=obj.is_force_region,
++                            surface_actuation=obj.surface_actuation)
+             new.state = obj.state
+             new.control = obj.control
+             return new
+@@ -306,6 +309,7 @@
+ 
+         cl_host = plan.curved_host
+         field.curved.assign_host(*cl_host)
++        field.curved.assign_surface(plan.next_objects, self.cfg, plan.next_flags)
+         s_cells, s_ids = plan.sensor_host
+         field.sensors.assign_host(s_cells, s_ids)
+         fr_cells, fr_ids = plan.force_region_host
+@@ -392,6 +396,7 @@
+             ex, ey = D2Q9_EX, D2Q9_EY
+ 
+         for obj in objects:
++            obj.validate_surface_actuation(self.cfg)
+             if (not obj.is_sensor) and (not obj.is_force_region) and hasattr(obj, 'get_curved_list'):
+                 (
+                     fluid_idx, dirs, q_vals, body_ids,
+@@ -447,6 +452,13 @@
+         r_fr_cells = np.concatenate(fr_cells) if fr_cells else np.zeros(0, dtype=np.uint32)
+         r_fr_ids = np.concatenate(fr_ids) if fr_ids else np.zeros(0, dtype=np.int32)
+ 
++        if any(obj.surface_actuation is not None for obj in objects):
++            # Reject unresolved apertures/ownership before sync or restart mutates state.
++            from ..lbm.curved_links import CurvedLinkSoA
++            links = CurvedLinkSoA()
++            links.assign_host(r_idx, r_dir, r_q, r_bid, r_rx, r_ry, r_rz, r_fallback)
++            links.assign_surface(objects, self.cfg, domain_flags)
++
+         return (
+             r_idx, r_dir, r_q, r_bid,
+             r_rx, r_ry, r_rz, r_fallback,
+@@ -466,21 +478,24 @@
+         """
+         self._telemetry_field = field
+ 
+-        if rebuild_flags:
+-            field.flag = self.build_flags(field.build_channel_flags())
+-            field.upload_flags()
++        next_flags = self.build_flags(field.build_channel_flags()) if rebuild_flags else field.flag
+ 
+         (
+             cl_fluid_idx, cl_dir, cl_q, cl_body_id,
+             cl_rx, cl_ry, cl_rz, cl_fallback_class,
+             sensor_cells, sensor_obj_id,
+             fr_cells, fr_obj_id,
+-        ) = self.build_compact_lists(domain_flags=field.flag)
++        ) = self.build_compact_lists(domain_flags=next_flags)
++
++        if rebuild_flags:
++            field.flag = next_flags
++            field.upload_flags()
+ 
+         field.curved.assign_host(
+             cl_fluid_idx, cl_dir, cl_q, cl_body_id,
+             cl_rx, cl_ry, cl_rz, cl_fallback_class,
+         )
++        field.curved.assign_surface(self.objects, self.cfg, field.flag)
+         field.sensors.assign_host(sensor_cells, sensor_obj_id)
+         field.force_regions.assign_host(fr_cells, fr_obj_id)
+ 
+@@ -595,6 +610,10 @@
+ 
+     def _upload_action_async(self, stream: cuda.Stream) -> None:
+         """Async H2D of host action array to action_gpu."""
++        for obj in self.objects:
++            obj.validate_surface_actuation(self.cfg)
++            if obj.surface_actuation is not None and self.action[(obj.obj_id+1)*3*self.cfg.dim-1] != 0:
++                raise ValueError("Surface actuation cannot share the rotation action")
+         if self.action_gpu is None or self.action.size == 0:
+             return
+         if self._action_pinned is None or self._action_pinned.size != self.action.size:
+@@ -712,6 +731,8 @@
+         The GPU action buffer is updated at the next ``run()`` call.
+         """
+         self._validate_body_id(body_id)
++        obj = self.get(body_id)
++        obj.validate_surface_actuation(self.cfg, dict(vars(obj.state), omega=omega))
+         dim = self.cfg.dim if self.cfg else 2
+         slot = 3 * dim
+         base = body_id * slot
+--- a/src/CelerisLab/body/objects.py
++++ b/src/CelerisLab/body/objects.py
+@@ -15,6 +15,7 @@
+ from __future__ import annotations
+ 
+ from dataclasses import dataclass
++import math
+ from typing import Optional, Tuple
+ 
+ import numpy as np
+@@ -53,6 +54,37 @@
+     mode: int = 0  # 0=force, 1=velocity, 2=displacement
+ 
+ 
++@dataclass(frozen=True)
++class SurfaceActuation:
++    """Fixed circular aperture: angles in radians, velocity in lattice units.
++
++    ``angle`` is measured counterclockwise from +x; ``half_width`` is the arc
++    half-angle. Positive normal_velocity blows from solid into fluid. The C1
++    profile (1-s*s)^2 uses the true hit angle, not a fluid-node aperture mask.
++    This immutable specification is set before initialization; no moving nozzle.
++    """
++    angle: float
++    half_width: float
++    normal_velocity: float
++
++    def __post_init__(self):
++        if not all(math.isfinite(v) for v in (self.angle, self.half_width, self.normal_velocity)):
++            raise ValueError("Surface actuation values must be finite")
++        if not 0 < self.half_width <= math.pi or abs(self.normal_velocity) >= 1:
++            raise ValueError("Require 0 < half_width <= pi and abs(normal_velocity) < 1")
++
++    def project(self, rx, ry):
++        """Project stored true hit-center vectors; returns velocity and aperture mask."""
++        radius = np.hypot(rx, ry)
++        if np.any(radius <= 0):
++            raise ValueError("Surface normal requires nonzero hit-center distance")
++        delta = np.arctan2(np.sin(np.arctan2(ry, rx)-self.angle),
++                           np.cos(np.arctan2(ry, rx)-self.angle))
++        aperture = np.abs(delta) < self.half_width
++        speed = self.normal_velocity*np.maximum(0., 1-(delta/self.half_width)**2)**2
++        return np.stack((speed*rx/radius, speed*ry/radius), axis=-1).astype(np.float32), aperture
++
++
+ # ---------------------------------------------------------------------------
+ # SimObject container
+ # ---------------------------------------------------------------------------
+@@ -77,6 +109,7 @@
+         radius: float = 0.0,
+         is_sensor: bool = False,
+         is_force_region: bool = False,
++        surface_actuation: Optional[SurfaceActuation] = None,
+     ) -> None:
+         self.obj_id = obj_id
+         self.center = center if center is not None else (0.0, 0.0)
+@@ -84,6 +117,10 @@
+         self._geometry = geometry
+         self._is_sensor = is_sensor
+         self._is_force_region = is_force_region
++        self._surface_actuation = (SurfaceActuation(**surface_actuation)
++                                  if isinstance(surface_actuation, dict) else surface_actuation)
++        if self._surface_actuation is not None and not isinstance(self._surface_actuation, SurfaceActuation):
++            raise TypeError("surface_actuation must be a SurfaceActuation or dict")
+ 
+         c = self.center
+         z0 = float(c[2]) if len(c) > 2 else 0.0
+@@ -91,6 +128,22 @@
+             x=float(c[0]), y=float(c[1]), z=z0,
+         )
+         self.control = ObjectControl()
++
++    @property
++    def surface_actuation(self):
++        return self._surface_actuation
++
++    def validate_surface_actuation(self, cfg, state=None):
++        if self.surface_actuation is None:
++            return
++        from .geometry.circle import CircleGeometry
++        if (type(self.geometry) is not CircleGeometry or self.is_sensor or self.is_force_region
++                or cfg is None or not cfg.is_d2q9 or cfg.store_precision != "FP32"
++                or cfg.streaming != "double_buffer" or cfg.ddf_shifting):
++            raise ValueError("Surface actuation requires a circle and D2Q9/FP32/unshifted/double_buffer")
++        values = vars(self.state) if state is None else state
++        if any(values.get(k, 0.) != 0 for k in ("vx", "vy", "omega")):
++            raise ValueError("Surface actuation requires a stationary circle")
+ 
+     @property
+     def geometry(self) -> Geometry:
+--- a/src/CelerisLab/common/checkpoint.py
++++ b/src/CelerisLab/common/checkpoint.py
+@@ -24,7 +24,7 @@
+ from ..lbm.descriptors import FLUID, SOLID, OBSTACLE, SENSOR_FLAG, FRC_REGION
+ 
+ # File format version — bump on incompatible layout changes.
+-CKPT_VERSION = 3
++CKPT_VERSION = 4
+ _SUPPORTED_STORE_PRECISIONS = ("FP32", "FP16S")
+ 
+ 
+@@ -130,10 +130,20 @@
+     if not np.array_equal(flag_buf, expected_flags):
+         raise ValueError("Checkpoint flags do not match current object/domain geometry")
+     bodies.build_compact_lists_for(bodies.objects, domain_flags=expected_flags)
++    applied_action = None
++    if bodies.action_gpu is not None:
++        applied_action = np.empty_like(bodies.action)
++        cuda.memcpy_dtoh(applied_action, bodies.action_gpu)
++        for obj in bodies.objects:
++            if (obj.surface_actuation is not None
++                    and applied_action[(obj.obj_id + 1) * 3 * lbm_cfg.dim - 1] != 0):
++                raise ValueError("Surface actuation requires zero applied omega")
+ 
+     with h5py.File(path, "w") as hf:
+         # Version and metadata
+-        hf.attrs["ckpt_version"] = CKPT_VERSION
++        # Older readers must not silently restart a driven surface as a wall.
++        hf.attrs["ckpt_version"] = (CKPT_VERSION if any(
++            obj.surface_actuation is not None for obj in bodies.objects) else 3)
+         hf.attrs["celerislab_version"] = __import__(
+             "CelerisLab").__version__
+         hf.attrs["timestamp"] = time.strftime("%Y-%m-%dT%H:%M:%S")
+@@ -156,11 +166,13 @@
+                           compression_opts=4)
+ 
+         hf.attrs["geometry_json"] = json.dumps(geometry)
++        hf.attrs["surface_actuation_json"] = json.dumps([
++            asdict(obj.surface_actuation) if obj.surface_actuation is not None else None
++            for obj in bodies.objects
++        ])
+         hf.attrs["runtime_params_json"] = json.dumps(field._runtime_params)
+         hf.attrs["obs_accum_steps"] = bodies._obs_accum_steps
+-        if bodies.action_gpu is not None:
+-            applied_action = np.empty_like(bodies.action)
+-            cuda.memcpy_dtoh(applied_action, bodies.action_gpu)
++        if applied_action is not None:
+             hf.create_dataset("applied_action", data=applied_action)
+         if bodies.obs_gpu is not None:
+             obs = np.empty(bodies.obs_total_floats, dtype=np.float32)
+@@ -191,7 +203,8 @@
+     store_precision must match the checkpoint.  Other parameters
+     (collision, LES, …) may differ for parameter-study restarts.
+     v3 restores the saved domain boundaries; v1/v2 retain their default-channel
+-    validation. Object geometry and roles must match in every version.
++    validation. v4 also requires matching static surface actuation. Object
++    geometry and roles must match in every version.
+ 
+     Args:
+         path: HDF5 checkpoint file path.
+@@ -206,7 +219,7 @@
+     with h5py.File(path, "r") as hf:
+         # Version check
+         ver = hf.attrs.get("ckpt_version", 0)
+-        if ver not in (1, 2, CKPT_VERSION):
++        if ver not in (1, 2, 3, CKPT_VERSION):
+             raise ValueError(
+                 f"Checkpoint version mismatch: file={ver}, "
+                 f"expected={CKPT_VERSION}. "
+@@ -253,6 +266,14 @@
+         if (len(obj_data) != bodies.count
+                 or [od.get("obj_id") for od in obj_data] != list(range(bodies.count))):
+             raise ValueError("Checkpoint object IDs must match the dense current registry")
++        surface_specs = [asdict(obj.surface_actuation) if obj.surface_actuation is not None else None
++                         for obj in bodies.objects]
++        if ver >= 4 and "surface_actuation_json" not in hf.attrs:
++            raise ValueError("Checkpoint is missing surface actuation specification")
++        saved_surface_specs = json.loads(hf.attrs.get(
++            "surface_actuation_json", json.dumps([None] * bodies.count)))
++        if saved_surface_specs != surface_specs:
++            raise ValueError("Checkpoint surface actuation mismatch")
+         domain_flags = None
+         if ver >= 3:
+             if "domain_flag" not in hf:
+@@ -319,6 +340,11 @@
+         modes = [int(od.get("control", {}).get("mode", 0)) for od in obj_data]
+         if not all(np.isfinite(value) for record in states + controls for value in record.values()):
+             raise ValueError("Checkpoint object state/control must be finite")
++        for obj, state in zip(bodies.objects, states):
++            obj.validate_surface_actuation(lbm_cfg, state)
++            if (obj.surface_actuation is not None and applied_action is not None
++                    and applied_action[(obj.obj_id + 1) * 3 * lbm_cfg.dim - 1] != 0):
++                raise ValueError("Checkpoint surface actuation requires zero applied omega")
+ 
+         for obj, state, control, mode in zip(bodies.objects, states, controls, modes):
+             for key, value in state.items():
+--- a/src/CelerisLab/lbm/curved_links.py
++++ b/src/CelerisLab/lbm/curved_links.py
+@@ -74,6 +74,48 @@
+ 
+     count: int = 0
+     capacity: int = 0
++
++    # Optional fixed surface velocity derived from true hit-center columns.
++    surface_velocity: Optional[np.ndarray] = None
++    aperture: Optional[np.ndarray] = None
++    surface_velocity_gpu: Optional[cuda.DeviceAllocation] = None
++    link_exchange_gpu: Optional[cuda.DeviceAllocation] = None
++
++    def assign_surface(self, objects, cfg, flags):
++        """Keep the original eight-column geometry/checkpoint contract unchanged."""
++        enabled = [obj for obj in objects if obj.surface_actuation is not None]
++        self.surface_velocity = self.aperture = None
++        if not enabled:
++            return
++        from .descriptors import FLUID, SOLID
++        if np.any((flags[self.fluid_idx] & FLUID) == 0) or np.any(flags[self.fluid_idx] & SOLID):
++            raise ValueError("Surface cut links must have active fluid receivers")
++        if len(np.unique(self.fluid_idx.astype(np.uint64)*cfg.nq+self.dir)) != len(self.dir):
++            raise ValueError("Surface boundary requires unique cut-link writers")
++        self.surface_velocity = np.zeros((len(self.dir), 2), np.float32)
++        self.aperture = np.zeros(len(self.dir), bool)
++        for obj in enabled:
++            obj.validate_surface_actuation(cfg)
++            selected = self.body_id == obj.obj_id
++            velocity, aperture = obj.surface_actuation.project(self.rx[selected], self.ry[selected])
++            if not aperture.any():
++                raise ValueError("Surface aperture hits no resolved cut links")
++            self.surface_velocity[selected] = velocity
++            self.aperture[selected] = aperture
++
++    def surface_exchange(self, body_id):
++        """Latest boundary step's (Fx,Fy,Tz), split by aperture; not nozzle thrust.
++
++        Caller synchronizes the CUDA stream/context. Rebuild/restart clears this
++        diagnostic; it is not the time-accumulated rigid-body observation.
++        """
++        if self.link_exchange_gpu is None:
++            raise RuntimeError("No surface actuation diagnostic is allocated")
++        values = np.empty((self.count, 3), np.float32)
++        cuda.memcpy_dtoh(values, self.link_exchange_gpu)
++        body = self.body_id == body_id
++        return {name: values[body & mask].sum(axis=0, dtype=np.float64)
++                for name, mask in (("wall", ~self.aperture), ("aperture", self.aperture))}
+ 
+     def assign_host(
+         self,
+@@ -144,6 +186,7 @@
+                 raise ValueError(
+                     "CurvedLinkSoA column 'fallback_class' must use classes {0, 1}"
+                 )
++        self.surface_velocity = self.aperture = None
+ 
+     def upload(self, stream: Optional[cuda.Stream] = None) -> None:
+         """Upload host columns to GPU with capacity-based allocation reuse.
+@@ -155,6 +198,9 @@
+         n = int(len(self.fluid_idx))
+         self.count = n
+         if n == 0:
++            _free_alloc(self.surface_velocity_gpu)
++            _free_alloc(self.link_exchange_gpu)
++            self.surface_velocity_gpu = self.link_exchange_gpu = None
+             return
+ 
+         if n > self.capacity or self.fluid_idx_gpu is None:
+@@ -190,6 +236,14 @@
+             (self.rz_gpu, self.rz),
+             (self.fallback_class_gpu, self.fallback_class),
+         ], stream)
++        _free_alloc(self.surface_velocity_gpu)
++        _free_alloc(self.link_exchange_gpu)
++        self.surface_velocity_gpu = self.link_exchange_gpu = None
++        if self.surface_velocity is not None:
++            self.surface_velocity_gpu = cuda.mem_alloc(self.surface_velocity.nbytes)
++            self.link_exchange_gpu = cuda.mem_alloc(n*3*4)
++            _upload_columns([(self.surface_velocity_gpu, self.surface_velocity),
++                             (self.link_exchange_gpu, np.zeros((n, 3), np.float32))], stream)
+ 
+     def free_gpu_columns(self) -> None:
+         """Release device columns only (host arrays unchanged)."""
+@@ -201,6 +255,9 @@
+         _free_alloc(self.ry_gpu)
+         _free_alloc(self.rz_gpu)
+         _free_alloc(self.fallback_class_gpu)
++        _free_alloc(self.surface_velocity_gpu)
++        _free_alloc(self.link_exchange_gpu)
++        self.surface_velocity_gpu = self.link_exchange_gpu = None
+         self.fluid_idx_gpu = None
+         self.dir_gpu = None
+         self.q_gpu = None
+--- a/src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
++++ b/src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh
+@@ -82,7 +82,7 @@
+     float Uw, float Vw,
+     float rx, float ry,
+     unsigned char fallback_class,
+-    float* __restrict__ obs, int body_id)
++    float* __restrict__ obs, int body_id, float* link_exchange = nullptr)
+ {
+     const unsigned int dir_opp = (unsigned int)opp_dir((int)dir);
+ 
+@@ -120,7 +120,7 @@
+     // corrected incoming population into the adjacent fluid node.
+     store_ddf(fi, index_f(k_s, dir_opp), f_reflected);
+ 
+-    if (obs != nullptr) {
++    if (obs != nullptr || link_exchange != nullptr) {
+ #if USE_DDF_SHIFTING
+         const float w_i = (float)d_w[dir];
+         const float fx = (float)d_cx[dir] * ((f_toward + w_i) + (f_reflected + w_i));
+@@ -129,10 +129,15 @@
+         const float fx = (float)d_cx[dir] * (f_toward + f_reflected);
+         const float fy = (float)d_cy[dir] * (f_toward + f_reflected);
+ #endif
+-        atomicAdd(&obs[obs_force_index(body_id, 0)], fx);
+-        atomicAdd(&obs[obs_force_index(body_id, 1)], fy);
+         const float tz = rx * fy - ry * fx;
+-        atomicAdd(&obs[obs_torque_index(body_id, 0)], tz);
++        if (link_exchange != nullptr) {
++            link_exchange[0] = fx; link_exchange[1] = fy; link_exchange[2] = tz;
++        }
++        if (obs != nullptr) {
++            atomicAdd(&obs[obs_force_index(body_id, 0)], fx);
++            atomicAdd(&obs[obs_force_index(body_id, 1)], fy);
++            atomicAdd(&obs[obs_torque_index(body_id, 0)], tz);
++        }
+     }
+ }
+ #endif // DIM == 2
+--- a/src/CelerisLab/lbm/kernels/step/aux_kernels.cu
++++ b/src/CelerisLab/lbm/kernels/step/aux_kernels.cu
+@@ -43,7 +43,8 @@
+     const int* cl_body_id,
+     const float* action,
+     float* obs,
+-    unsigned int n_curved)
++    unsigned int n_curved,
++    const float* surface_velocity = nullptr, float* link_exchange = nullptr)
+ {
+     unsigned int tid = threadIdx.x + blockIdx.x * blockDim.x;
+     if (tid >= n_curved) return;
+@@ -58,10 +59,16 @@
+     const float omega = action_omega(action, bid);
+ 
+ #if DIM == 2
+-    const float Uw = -omega * ry;
+-    const float Vw =  omega * rx;
++    float Uw = -omega * ry;
++    float Vw =  omega * rx;
++    if (surface_velocity != nullptr) {
++        // Independent prescribed fluid velocity on fixed geometry.
++        const float u = surface_velocity[2*tid], v = surface_velocity[2*tid+1];
++        if (u != 0.0f || v != 0.0f) { Uw += u; Vw += v; }
++    }
+     (void)cl_rz;
+-    apply_bouzidi_link(dir, q, k_f, fi, Uw, Vw, rx, ry, fallback_class, obs, bid);
++    apply_bouzidi_link(dir, q, k_f, fi, Uw, Vw, rx, ry, fallback_class, obs, bid,
++                       link_exchange == nullptr ? nullptr : link_exchange + 3*tid);
+ #elif DIM == 3
+     const float rz = cl_rz[tid];
+     const float Uw = -omega * ry;
+--- a/src/CelerisLab/lbm/stepper.py
++++ b/src/CelerisLab/lbm/stepper.py
+@@ -153,6 +153,7 @@
+                 cl.rx_gpu, cl.ry_gpu, cl.rz_gpu, cl.fallback_class_gpu, cl.body_id_gpu,
+                 action_gpu, obs_gpu,
+                 np.uint32(f.n_curved),
++                cl.surface_velocity_gpu or np.uintp(0), cl.link_exchange_gpu or np.uintp(0),
+                 block=(tpb, 1, 1), grid=grid_c,
+                 **launch_kw,
+             )
+--- a/src/CelerisLab/simulation.py
++++ b/src/CelerisLab/simulation.py
+@@ -98,7 +98,7 @@
+ 
+     # -- Object management ---------------------------------------------------
+     def add_body(self, type: str = "circle", center=None,
+-                 radius: float = 0.0, **kwargs) -> int:
++                 radius: float = 0.0, *, surface_actuation=None, **kwargs) -> int:
+         """Add a simulation body. Returns body_id.
+ 
+         Before ``initialize()`` the object is added to the formal registry
+@@ -110,6 +110,10 @@
+                 (future: ``"polygon"``, ``"mesh"``).
+             center: (x, y) center coordinates (lattice units).
+             radius: body radius (lattice units).
++            surface_actuation: Fixed circle aperture dict/SurfaceActuation:
++                angle, half_width (radians), normal_velocity (positive outward).
++                D2Q9/FP32/unshifted/DB only; set before initialization or stage
++                a new body. No runtime motion or amplitude setter.
+             **kwargs: passed to the geometry constructor.
+ 
+         Returns:
+@@ -118,6 +122,8 @@
+         if self.lbm_cfg.y_wall_bc == "on_site_velocity":
+             raise ValueError("on_site_velocity currently requires an object-free domain")
+         type_lower = str(type).strip().lower()
++        if surface_actuation is not None and type_lower != "circle":
++            raise ValueError("Surface actuation is only supported on circles")
+ 
+         if type_lower == "circle":
+             from .body.geometry.circle import CircleGeometry
+@@ -125,7 +131,7 @@
+             geom = CircleGeometry(cx, cy, radius)
+             obj = SimObject(obj_id=-1, geometry=geom,
+                             center=center, radius=radius,
+-                            is_sensor=False)
++                            is_sensor=False, surface_actuation=surface_actuation)
+         elif type_lower == "sensor":
+             from .body.geometry.circle import CircleGeometry
+             cx, cy = float(center[0]), float(center[1])
+@@ -189,6 +195,8 @@
+             center = tuple(spec.get("center", ()))
+             radius = float(spec.get("radius", 0.0))
+             omega = spec.get("omega", None)
++            if spec.get("surface_actuation") is not None and obj_type != "cylinder":
++                raise ValueError("Surface actuation is only supported on cylinders in body config")
+ 
+             if obj_type == "":
+                 raise ValueError(
+@@ -200,9 +208,10 @@
+                 )
+ 
+             if obj_type == "cylinder":
+-                body_id = self.add_body("circle", center=center, radius=radius)
++                body_id = self.add_body("circle", center=center, radius=radius,
++                                        surface_actuation=spec.get("surface_actuation"))
+                 if omega is not None:
+-                    self.bodies.get(body_id).state.omega = float(omega)
++                    self.bodies.set_body_state(body_id, omega=float(omega))
+             elif obj_type == "sensor":
+                 self.add_body("sensor", center=center, radius=radius)
+             else:
+@@ -225,6 +234,10 @@
+             vy: translation velocity y (future).  ``None`` = no change.
+         """
+         obj = self.bodies.get(id)
++        proposed = dict(vars(obj.state))
++        proposed.update({k: float(v) for k, v in (("omega", omega), ("vx", vx), ("vy", vy))
++                         if v is not None})
++        obj.validate_surface_actuation(self.lbm_cfg, proposed)
+         changed = False
+         if omega is not None:
+             obj.state.omega = float(omega)
+@@ -290,6 +303,18 @@
+         if self.bodies.obs_pinned is None:
+             raise RuntimeError("No obs buffer. Call run() first.")
+         return self.bodies.read_sensor(id, normalize=normalize)
++
++    @context_bound
++    def read_surface_exchange(self, id: int):
++        """Latest step's wall/aperture (Fx,Fy,Tz) exchange, not total nozzle force.
++
++        Unlike read_body this is not accumulated/time-averaged. It resets after
++        geometry sync or checkpoint load; advance before interpreting it.
++        """
++        if self.bodies.get(id).surface_actuation is None:
++            raise ValueError("Body has no surface actuation")
++        self.stream.synchronize()
++        return self.field.curved.surface_exchange(id)
+ 
+     @context_bound
+     def read_body(self, id: int, *,
+--- /dev/null
++++ b/tests/integration/test_surface_actuation_gpu.py
+@@ -0,0 +1,249 @@
++"""Fixed surface actuation: discrete operator/ledger checks, not flux accuracy."""
++from dataclasses import asdict
++import json
++
++import h5py
++import numpy as np
++import pycuda.driver as cuda
++import pytest
++
++from CelerisLab.lbm.descriptors import FLUID, SOLID
++from ._cases import make_sim
++from .test_numerical_gpu import CX, CY, install_spatial_state, spatial_state
++
++
++WEIGHTS = np.array([4/9] + [1/9]*4 + [1/36]*4)
++OPPOSITE = np.array([0, 2, 1, 4, 3, 6, 5, 8, 7])
++GEOMETRY = ("fluid_idx", "dir", "q", "body_id", "rx", "ry", "rz", "fallback_class")
++
++
++def feq(rho, ux, uy):
++    """Independent FP64 polynomial; round only the uploaded populations."""
++    cu = CX[:, None, None]*ux + CY[:, None, None]*uy
++    return WEIGHTS[:, None, None]*rho*(1 + 3*cu + 4.5*cu**2 - 1.5*(ux**2 + uy**2))
++
++
++@pytest.mark.parametrize("speed", [-.01, .01])
++def test_actual_surface_kernel_equilibrium_branches(speed):
++    """Both q branches, q=.5 and donor fallback; non-unit rho and signed normal."""
++    sim = make_sim(nx=24, ny=16, velocity=0)
++    allocations = []
++    try:
++        sim.initialize()
++        normal = np.array([-.6, .8])
++        expected = feq(1.17, *(speed*normal))[:, 0, 0]
++        initial = np.broadcast_to(expected[:, None, None], (9, 16, 24)).astype(np.float32).copy()
++        # Distinct source/destination neighborhoods; no synthetic link race.
++        cells = np.array([4*24+12, 6*24+12, 8*24+12, 10*24+12], np.uint32)
++        directions = np.ones(4, np.uint8)
++        radii = np.tile(5*normal, (4, 1)).astype(np.float32)
++        columns = [cells, directions, np.array([.2, .5, .8, .2], np.float32),
++                   radii[:, 0].copy(), radii[:, 1].copy(), np.zeros(4, np.float32),
++                   np.array([0, 0, 0, 1], np.uint8), np.zeros(4, np.int32)]
++        with sim.ctx.activate():
++            for array in columns + [np.tile(speed*normal, (4, 1)).astype(np.float32),
++                                    np.zeros((4, 3), np.float32)]:
++                allocations.append(cuda.to_device(array))
++            cuda.memcpy_htod(sim.field.ddf_gpu, initial)
++            sim.stepper.curved_fn(sim.field.ddf_gpu, *allocations[:8],
++                                  np.uintp(0), np.uintp(0), np.uint32(4),
++                                  *allocations[8:], block=(32, 1, 1), grid=(1, 1))
++            actual = np.empty_like(initial)
++            exchange = np.empty((4, 3), np.float32)
++            cuda.memcpy_dtoh(actual, sim.field.ddf_gpu)
++            cuda.memcpy_dtoh(exchange, allocations[-1])
++        reflected = actual.reshape(9, -1)[2, cells+1]
++        np.testing.assert_allclose(reflected, expected[2], atol=7e-8, rtol=0)
++        # Equilibrium identity is independent of interpolation implementation.
++        fx = expected[1] + expected[2]
++        wanted = np.column_stack((np.full(4, fx), np.zeros(4), -radii[:, 1]*fx))
++        np.testing.assert_allclose(exchange, wanted, atol=4e-7, rtol=0)
++    finally:
++        with sim.ctx.activate():
++            for allocation in allocations:
++                allocation.free()
++        sim.close()
++
++
++def circle_sim(speed):
++    sim = make_sim(nx=32, ny=24, velocity=0)
++    spec = None if speed is None else dict(angle=.7, half_width=.85, normal_velocity=speed)
++    try:
++        bid = sim.add_body("circle", center=(16, 12), radius=4.3, surface_actuation=spec)
++        sim.initialize()
++        flags = sim.field.flag.copy()
++        flags.reshape(24, 32)[1:-1, [0, -1]] = FLUID  # x periodic, y halfway walls
++        y, x = np.mgrid[:24, :32]
++        initial = feq(1.17+.001*np.cos(.2*x+.3*y),
++                      .003*np.sin(.3*y), .002*np.cos(.4*x)).astype(np.float32)
++        install_spatial_state(sim, initial)
++        sim.field.flag[:] = flags  # installer intentionally resets all flags
++        sim.field.upload_flags()
++        return sim, bid, initial
++    except BaseException:
++        sim.close()
++        raise
++
++
++@pytest.mark.parametrize("speed", [-.01, .01])
++def test_surface_population_ledger_and_public_diagnostics(speed):
++    sim, bid, initial = circle_sim(speed)
++    try:
++        cl = sim.field.curved
++        frozen = {name: getattr(cl, name).copy() for name in GEOMETRY}
++        flags = sim.field.flag.copy()
++        body_state = vars(sim.bodies.get(bid).state).copy()
++        physical = initial.astype(np.float64)
++        flat = physical.reshape(9, -1)
++        cell, direction = cl.fluid_idx.astype(int), cl.dir.astype(int)
++        ex, ey, q = CX[direction], CY[direction], cl.q.astype(float)
++        # Independently project the prescribed arc at true intersections.
++        angle = np.arctan2(cl.ry.astype(float), cl.rx.astype(float))
++        delta = (angle-.7+np.pi) % (2*np.pi)-np.pi
++        aperture = np.abs(delta) < .85
++        radial = np.column_stack((cl.rx, cl.ry)).astype(float)
++        normal = radial / np.linalg.norm(radial, axis=1)[:, None]
++        velocity = speed*np.maximum(0, 1-(delta/.85)**2)[:, None]**2*normal
++        np.testing.assert_array_equal(cl.aperture, aperture)
++        np.testing.assert_allclose(cl.surface_velocity, velocity, atol=1e-8, rtol=0)
++        assert aperture.any() and (~aperture).any()
++        assert (q < .5).any() and (q >= .5).any()
++        a = flat[direction, cell]
++        b = np.empty(len(cell))
++        passive = np.empty(len(cell))
++        for i, (k, d) in enumerate(zip(cell, direction)):
++            rho = flat[:, k].sum()
++            dot = CX[d]*velocity[i, 0] + CY[d]*velocity[i, 1]
++            if cl.fallback_class[i]:
++                passive[i] = a[i]
++                factor = 6
++            elif q[i] < .5:
++                passive[i] = 2*q[i]*a[i] + (1-2*q[i])*flat[d, k-CX[d]-32*CY[d]]
++                factor = 6
++            else:
++                passive[i] = a[i]/(2*q[i]) + (1-1/(2*q[i]))*flat[OPPOSITE[d], k]
++                factor = 3/q[i]
++            b[i] = passive[i]-factor*WEIGHTS[d]*rho*dot
++        force = np.column_stack((ex, ey))*(a+b)[:, None]
++        torque = cl.rx*force[:, 1]-cl.ry*force[:, 0]
++        wanted = np.column_stack((force, torque))
++        # Fluid-node and intersection lever arms differ by q*c: same link torque.
++        fluid_r = radial-q[:, None]*np.column_stack((ex, ey))
++        np.testing.assert_allclose(torque, fluid_r[:, 0]*force[:, 1]-fluid_r[:, 1]*force[:, 0],
++                                   atol=2e-15, rtol=0)
++        with sim.ctx.activate():
++            sim.stepper.curved_fn(sim.field.ddf_gpu,
++                *(getattr(cl, name+"_gpu") for name in GEOMETRY[:3]),
++                cl.rx_gpu, cl.ry_gpu, cl.rz_gpu, cl.fallback_class_gpu, cl.body_id_gpu,
++                np.uintp(0), np.uintp(0), np.uint32(cl.count),
++                cl.surface_velocity_gpu, cl.link_exchange_gpu,
++                block=(64, 1, 1), grid=((cl.count+63)//64, 1))
++            staged = np.empty_like(initial)
++            cuda.memcpy_dtoh(staged, sim.field.ddf_gpu)
++        incoming = staged.reshape(9, -1)[OPPOSITE[direction], cell+ex+32*ey].astype(float)
++        np.testing.assert_allclose(incoming, b, atol=8e-8, rtol=0)
++        # Incoming populations alone respond with the expected signed normal drive.
++        assert np.all((-np.sum(normal[aperture]*np.column_stack((ex, ey))[aperture], axis=1)) > 0)
++        core = aperture & (np.abs(delta) < .5*.85)
++        assert core.any()
++        assert np.all(speed*(incoming-passive)[core] > 0)
++
++        # Independent pull ledger, including all planar-wall links. Use actual
++        # rounded incoming values to isolate bookkeeping from CUDA arithmetic.
++        arrived = np.stack([np.roll(physical[d], (CY[d], CX[d]), (0, 1)) for d in range(9)])
++        arrived.reshape(9, -1)[OPPOSITE[direction], cell] = incoming
++        mass_exchange = float(np.sum(incoming-a))
++        momentum_exchange = -np.sum(np.column_stack((ex, ey))*(a+incoming)[:, None], axis=0)
++        for y, outgoing in ((1, (4, 6, 7)), (22, (3, 5, 8))):
++            for d in outgoing:
++                values = physical[d, y, :]
++                arrived[OPPOSITE[d], y, :] = values
++                momentum_exchange -= 2*values.sum()*np.array([CX[d], CY[d]])
++        fluid = ((flags & FLUID) != 0) & ((flags & SOLID) == 0)
++        change = (arrived-physical).reshape(9, -1)[:, fluid].sum(axis=1)
++        np.testing.assert_allclose([change.sum(), change@CX, change@CY],
++                                   [mass_exchange, *momentum_exchange], atol=3e-13, rtol=0)
++        # Start public run from the original state, not a previously staged field.
++        with sim.ctx.activate():
++            cuda.memcpy_htod(sim.field.ddf_gpu, initial)
++        sim.run(1)
++        actual = spatial_state(sim).astype(float).reshape(9, -1)[:, fluid]
++        expected = arrived.reshape(9, -1)[:, fluid]
++        moments = np.stack((np.ones(9), CX, CY))
++        np.testing.assert_allclose(moments@actual, moments@expected, atol=5e-7, rtol=0)
++        # FP32 collision conserves moments up to rounding, not bitwise globally.
++        change = (actual-physical.reshape(9, -1)[:, fluid]).sum(axis=1)
++        budget = 8*np.finfo(np.float32).eps*np.abs(expected).sum()
++        np.testing.assert_allclose([change.sum(), change@CX, change@CY],
++                                   [mass_exchange, *momentum_exchange], atol=budget, rtol=0)
++        diagnostic = sim.read_surface_exchange(bid)
++        for name, mask in (("wall", ~aperture), ("aperture", aperture)):
++            np.testing.assert_allclose(diagnostic[name], wanted[mask].sum(axis=0),
++                                       atol=4e-6, rtol=0)
++        total = diagnostic["wall"]+diagnostic["aperture"]
++        np.testing.assert_allclose(sim.read_force(bid, normalize=False), total[:2], atol=4e-6, rtol=0)
++        np.testing.assert_allclose(sim.read_torque(bid, normalize=False), total[2:], atol=4e-6, rtol=0)
++        for name, value in frozen.items():
++            np.testing.assert_array_equal(getattr(cl, name), value)
++        np.testing.assert_array_equal(sim.field.flag, flags)
++        assert vars(sim.bodies.get(bid).state) == body_state
++    finally:
++        sim.close()
++
++
++def test_zero_surface_drive_preserves_legacy_populations_and_geometry():
++    records = []
++    for speed in (None, 0.0):
++        sim, bid, _ = circle_sim(speed)
++        try:
++            sim.run(2)
++            records.append((spatial_state(sim), sim.field.flag.copy(),
++                            {name: getattr(sim.field.curved, name).copy() for name in GEOMETRY}))
++        finally:
++            sim.close()
++    np.testing.assert_array_equal(records[0][0], records[1][0])
++    np.testing.assert_array_equal(records[0][1], records[1][1])
++    for name in GEOMETRY:
++        np.testing.assert_array_equal(records[0][2][name], records[1][2][name])
++
++
++def test_surface_checkpoint_continues_and_resets_latest_exchange(tmp_path):
++    sim, bid, _ = circle_sim(.01)
++    try:
++        sim.run(1)
++        saved = spatial_state(sim)
++        count = sim.stepper.step_count
++        spec = asdict(sim.bodies.get(bid).surface_actuation)
++        action = sim.bodies.action.copy()
++        path = sim.save_checkpoint(str(tmp_path / "surface.h5"))
++        with h5py.File(path, "r") as checkpoint:
++            assert checkpoint.attrs["ckpt_version"] == 4
++            geometry = json.loads(checkpoint.attrs["geometry_json"])
++            assert len(geometry[0]["projection_sha256"]) == 64
++            assert json.loads(checkpoint.attrs["surface_actuation_json"]) == [spec]
++            applied = checkpoint["applied_action"][:]
++        sim.run(2)
++        expected = spatial_state(sim)
++        expected_exchange = sim.read_surface_exchange(bid)
++        assert np.linalg.norm(expected_exchange["aperture"]) > 0
++        sim.load_checkpoint(path)
++        assert sim.stepper.step_count == count
++        np.testing.assert_array_equal(spatial_state(sim), saved)
++        np.testing.assert_array_equal(sim.bodies.action, action)
++        actual_action = np.empty_like(applied)
++        with sim.ctx.activate():
++            cuda.memcpy_dtoh(actual_action, sim.bodies.action_gpu)
++        np.testing.assert_array_equal(actual_action, applied)
++        assert asdict(sim.bodies.get(bid).surface_actuation) == spec
++        for values in sim.read_surface_exchange(bid).values():
++            np.testing.assert_array_equal(values, np.zeros(3))
++        restored = sim.save_checkpoint(str(tmp_path / "restored.h5"))
++        with h5py.File(restored, "r") as checkpoint:
++            assert json.loads(checkpoint.attrs["geometry_json"]) == geometry
++            assert json.loads(checkpoint.attrs["surface_actuation_json"]) == [spec]
++        sim.run(2)
++        np.testing.assert_array_equal(spatial_state(sim), expected)
++        for name, values in sim.read_surface_exchange(bid).items():
++            np.testing.assert_array_equal(values, expected_exchange[name])
++    finally:
++        sim.close()
+--- /dev/null
++++ b/tests/unit/test_surface_actuation.py
+@@ -0,0 +1,230 @@
++"""Static circle apertures: real geometry and host/device-memory protocol tests."""
++from dataclasses import FrozenInstanceError, asdict
++import json
++import math
++from types import SimpleNamespace
++
++import h5py
++import numpy as np
++import pytest
++
++from CelerisLab.body.geometry.circle import CircleGeometry
++from CelerisLab.body.manager import ObjectManager
++from CelerisLab.body.objects import SimObject, SurfaceActuation
++from CelerisLab.common.checkpoint import load_checkpoint, save_checkpoint
++from CelerisLab.config import LBMConfig
++from CelerisLab.lbm.curved_links import CurvedLinkSoA
++from CelerisLab.lbm.descriptors import FLUID, SOLID
++from CelerisLab.simulation import Simulation
++from .test_state_regressions import device, make_field, manager
++
++
++def circle(spec=None, *, center=(6., 5.), radius=2.999, **kwargs):
++    return SimObject(0, geometry=CircleGeometry(*center, radius), center=center,
++                     radius=radius, surface_actuation=spec, **kwargs)
++
++
++def projected(obj):
++    cfg = LBMConfig(nx=12, ny=10, viscosity=.1)
++    cfg.validate()
++    flags = ObjectManager.build_flags_for(
++        [obj], np.full(cfg.nx*cfg.ny, FLUID, np.uint16), nx=cfg.nx, ny=cfg.ny, nz=1)
++    cl = CurvedLinkSoA()
++    cl.assign_host(*obj.get_curved_list(cfg.nx, cfg.ny, cfg.nq, domain_flags=flags))
++    cl.assign_surface([obj], cfg, flags)
++    return cl, cfg, flags
++
++
++@pytest.mark.parametrize('speed', [.002, -.002])
++def test_aperture_uses_true_hit_not_fluid_node_or_clamped_q(speed):
++    # Fluid (9,5), direction (-1,+1), circle radius 2.999. Actual t < .01,
++    # whereas the existing Bouzidi q is clipped to .01. The narrow opening
++    # contains the true hit but neither the fluid-node angle nor clipped hit.
++    t = (6-math.sqrt(36-8*(9-2.999**2)))/4
++    angle = math.atan2(t, 3-t)
++    spec = SurfaceActuation(angle, .0001, speed)
++    cl, _, _ = projected(circle(spec))
++    index, = np.flatnonzero((cl.fluid_idx == 9+5*12) & (cl.dir == 8))
++    assert cl.q[index] == np.float32(.01)
++    assert angle > spec.half_width
++    assert math.atan2(.01, 2.99)-angle > spec.half_width
++    assert cl.aperture[index]
++    expected = speed*np.array([3-t, t])/2.999
++    np.testing.assert_allclose(cl.surface_velocity[index], expected, rtol=2e-6, atol=1e-10)
++    np.testing.assert_allclose(np.hypot(cl.rx, cl.ry), 2.999, rtol=0, atol=3e-7)
++    np.testing.assert_array_equal(cl.surface_velocity[~cl.aperture], 0.)
++
++
++def test_surface_zero_preserves_eight_column_geometry_and_mask():
++    plain, zero = circle(), circle(SurfaceActuation(0., .7, 0.))
++    old, new = plain.get_curved_list(12, 10, 9), zero.get_curved_list(12, 10, 9)
++    assert len(old) == len(new) == 8
++    for before, after in zip(old, new):
++        np.testing.assert_array_equal(before, after)
++    np.testing.assert_array_equal(plain.get_flag_mask(12, 10), zero.get_flag_mask(12, 10))
++    cl, _, _ = projected(zero)
++    assert cl.aperture.any()
++    np.testing.assert_array_equal(cl.surface_velocity, 0.)
++    assert projected(plain)[0].surface_velocity is None
++
++
++def test_surface_spec_is_immutable_and_wraps_angles():
++    spec = SurfaceActuation(math.pi, .2, .002)
++    with pytest.raises(FrozenInstanceError):
++        spec.normal_velocity = .003
++    angles = np.array([math.pi-.1, -math.pi+.1, 0.])
++    velocity, mask = spec.project(np.cos(angles), np.sin(angles))
++    np.testing.assert_array_equal(mask, [True, True, False])
++    np.testing.assert_allclose(np.linalg.norm(velocity[:2], axis=1), .002*(1-.5**2)**2,
++                               rtol=1e-6)
++    np.testing.assert_array_equal(velocity[2], 0.)
++
++
++@pytest.mark.parametrize('values', [(0., 0., .002), (0., math.pi+.1, .002),
++                                   (0., .2, 1.), (math.nan, .2, .002),
++                                   (0., math.inf, .002), (0., .2, math.nan)])
++def test_invalid_surface_spec(values):
++    with pytest.raises(ValueError):
++        SurfaceActuation(*values)
++
++
++@pytest.mark.parametrize('override', [dict(streaming='esopull'), dict(store_precision='FP16S'),
++                                     dict(ddf_shifting=True), dict(lattice_model='D3Q19')])
++def test_surface_rejects_unsupported_mode_before_registration(override):
++    cfg = LBMConfig(nx=12, ny=10, **override)
++    cfg.validate()
++    bodies = ObjectManager(cfg.nx, cfg.ny, cfg.nz, cfg.nq, cfg)
++    with pytest.raises(ValueError, match='Surface actuation requires'):
++        bodies.add(circle(SurfaceActuation(0., .7, .002)))
++    assert bodies.count == 0
++
++
++@pytest.mark.parametrize('role', ['is_sensor', 'is_force_region'])
++def test_surface_rejects_nonwall_roles(role):
++    with pytest.raises(ValueError):
++        circle(SurfaceActuation(0., .7, .002), **{role: True}).validate_surface_actuation(LBMConfig())
++
++
++@pytest.mark.parametrize('key', ['omega', 'vx', 'vy'])
++def test_surface_set_body_rejects_motion_before_mutation(key):
++    cfg = LBMConfig(nx=12, ny=10)
++    cfg.validate()
++    bodies = ObjectManager(cfg.nx, cfg.ny, cfg.nz, cfg.nq, cfg)
++    item = circle(SurfaceActuation(0., .7, .002))
++    bodies.add(item)
++    sim = Simulation.__new__(Simulation)
++    sim.lbm_cfg, sim.bodies = cfg, bodies
++    state, action = asdict(item.state), bodies.action.copy()
++    with pytest.raises(ValueError, match='stationary'):
++        sim.set_body(0, **{key: .01})
++    assert asdict(item.state) == state
++    np.testing.assert_array_equal(bodies.action, action)
++
++
++def test_surface_projection_rejects_unresolved_aperture_and_bad_writers():
++    with pytest.raises(ValueError, match='no resolved'):
++        projected(circle(SurfaceActuation(.123456, 1e-9, .002)))
++    item = circle(SurfaceActuation(0., .7, .002))
++    cl, cfg, flags = projected(item)
++    flags[cl.fluid_idx[0]] = SOLID
++    with pytest.raises(ValueError, match='active fluid'):
++        cl.assign_surface([item], cfg, flags)
++    flags[cl.fluid_idx[0]] = FLUID
++    cl.fluid_idx[1], cl.dir[1] = cl.fluid_idx[0], cl.dir[0]
++    with pytest.raises(ValueError, match='unique'):
++        cl.assign_surface([item], cfg, flags)
++
++
++def test_surface_public_dict_entry_and_sync_copy():
++    cfg = LBMConfig(nx=12, ny=10)
++    cfg.validate()
++    sim = Simulation.__new__(Simulation)
++    sim.lbm_cfg, sim._initialized = cfg, False
++    sim.bodies = ObjectManager(cfg.nx, cfg.ny, cfg.nz, cfg.nq, cfg)
++    spec = dict(angle=0., half_width=.7, normal_velocity=.002)
++    oid = sim.add_body('circle', center=(6., 5.), radius=2., surface_actuation=spec)
++    copied, = sim.bodies.build_next_objects()
++    assert asdict(copied.surface_actuation) == spec
++    assert copied.surface_actuation is sim.bodies.get(oid).surface_actuation
++
++
++def case(device, spec):
++    field = make_field(device)
++    bodies = manager(field, [circle(spec, radius=2.)])
++    bodies.sync_to_gpu(field)
++    return field, bodies
++
++
++def test_surface_gpu_buffer_lifecycle_with_memory_double(device):
++    field, bodies = case(device, SurfaceActuation(0., .7, .002))
++    cl = field.curved
++    velocity, exchange = cl.surface_velocity_gpu, cl.link_exchange_gpu
++    np.testing.assert_array_equal(np.frombuffer(velocity.data, np.float32).reshape(-1, 2),
++                                  cl.surface_velocity)
++    np.testing.assert_array_equal(np.frombuffer(exchange.data, np.float32), 0.)
++    cl.assign_surface([], field.cfg, field.flag)
++    cl.upload()
++    assert velocity.freed and exchange.freed
++    assert cl.surface_velocity_gpu is None and cl.link_exchange_gpu is None
++    cl.assign_surface(bodies.objects, field.cfg, field.flag)
++    cl.upload()
++    velocity, exchange = cl.surface_velocity_gpu, cl.link_exchange_gpu
++    cl.free()
++    assert velocity.freed and exchange.freed and cl.count == 0
++
++
++@pytest.mark.parametrize('damage', ['missing_spec', 'legacy_missing_spec', 'different_spec',
++                                   'omega', 'vx', 'vy', 'applied_omega'])
++def test_surface_checkpoint_rejects_mismatch_before_any_write(device, tmp_path, damage):
++    field, bodies = case(device, SurfaceActuation(0., .7, .002))
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg, bodies,
++                           str(tmp_path/'surface.h5'))
++    with h5py.File(path, 'a') as hf:
++        assert hf.attrs['ckpt_version'] == 4
++        if damage in ('missing_spec', 'legacy_missing_spec'):
++            del hf.attrs['surface_actuation_json']
++            if damage == 'legacy_missing_spec':
++                hf.attrs['ckpt_version'] = 3
++        elif damage == 'different_spec':
++            records = json.loads(hf.attrs['surface_actuation_json'])
++            records[0]['normal_velocity'] *= -1
++            hf.attrs['surface_actuation_json'] = json.dumps(records)
++        elif damage == 'applied_omega':
++            action = hf['applied_action'][:]
++            action[-1] = .01
++            hf['applied_action'][:] = action
++        else:
++            records = json.loads(hf.attrs['objects_json'])
++            records[0][damage] = .01
++            hf.attrs['objects_json'] = json.dumps(records)
++    writes, state = device.writes, asdict(bodies.get(0).state)
++    raw = [bytes(ptr.data) for ptr in (field.ddf_gpu, field.temp_gpu, field.flag_gpu)]
++    stepper = SimpleNamespace(_step_count=99)
++    with pytest.raises(ValueError):
++        load_checkpoint(path, field, stepper, field.cfg, bodies)
++    assert device.writes == writes and stepper._step_count == 99
++    assert asdict(bodies.get(0).state) == state
++    assert raw == [bytes(ptr.data) for ptr in (field.ddf_gpu, field.temp_gpu, field.flag_gpu)]
++
++
++@pytest.mark.parametrize('enabled', [False, True])
++def test_surface_checkpoint_rebuild_and_legacy_absence(device, tmp_path, enabled):
++    spec = SurfaceActuation(0., .7, .002) if enabled else None
++    field, bodies = case(device, spec)
++    path = save_checkpoint(field, SimpleNamespace(step_count=3), field.cfg, bodies,
++                           str(tmp_path/'surface.h5'))
++    with h5py.File(path, 'a') as hf:
++        assert hf.attrs['ckpt_version'] == (4 if enabled else 3)
++        if not enabled:
++            del hf.attrs['surface_actuation_json']
++    restored, restored_bodies = case(device, spec)
++    stepper = SimpleNamespace(_step_count=0)
++    load_checkpoint(path, restored, stepper, restored.cfg, restored_bodies)
++    assert stepper._step_count == 3
++    for source, target in ((field.ddf_gpu, restored.ddf_gpu), (field.temp_gpu, restored.temp_gpu),
++                           (field.flag_gpu, restored.flag_gpu)):
++        assert bytes(source.data) == bytes(target.data)
++    if enabled:
++        np.testing.assert_array_equal(field.curved.surface_velocity, restored.curved.surface_velocity)
++    else:
++        assert restored.curved.surface_velocity is None
diff --git a/research/surface_actuation_20261014/manifest.json b/research/surface_actuation_20261014/manifest.json
new file mode 100644
index 0000000..35daa01
--- /dev/null
+++ b/research/surface_actuation_20261014/manifest.json
@@ -0,0 +1,101 @@
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+  "new_test_files": [
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+    "tests/integration/test_surface_actuation_gpu.py"
+  ],
+  "scope": "9 production files + 2 new tests; refinement and prior examples unchanged",
+  "post_status": " M pyproject.toml\n M setup.py\n M src/CelerisLab/__init__.py\n M src/CelerisLab/body/__init__.py\n M src/CelerisLab/body/ddf_patch.py\n M src/CelerisLab/body/manager.py\n M src/CelerisLab/body/objects.py\n M src/CelerisLab/body/preprocess/flag_overlay.py\n M src/CelerisLab/common/__init__.py\n M src/CelerisLab/common/checkpoint.py\n M src/CelerisLab/config.py\n M src/CelerisLab/configs/CONFIG.md\n M src/CelerisLab/cuda/__init__.py\n M src/CelerisLab/cuda/compiler_v2.py\n M src/CelerisLab/cuda/context.py\n M src/CelerisLab/lbm/__init__.py\n M src/CelerisLab/lbm/curved_links.py\n M src/CelerisLab/lbm/field.py\n M src/CelerisLab/lbm/initializers.py\n M src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh\n M src/CelerisLab/lbm/kernels/boundary/curved_boundary.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/common.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet/zou_he_local.cuh\n M src/CelerisLab/lbm/kernels/boundary/inlet_outlet.cuh\n M src/CelerisLab/lbm/kernels/config/config_grid.h\n M src/CelerisLab/lbm/kernels/config/config_method.h\n M src/CelerisLab/lbm/kernels/config/config_objects.h\n M src/CelerisLab/lbm/kernels/config/config_physics.h\n M src/CelerisLab/lbm/kernels/kernel_v2.cu\n M src/CelerisLab/lbm/kernels/operators/collision_mrt.cuh\n M src/CelerisLab/lbm/kernels/operators/collision_trt.cuh\n M src/CelerisLab/lbm/kernels/operators/forcing_guo.cuh\n M src/CelerisLab/lbm/kernels/step/aux_kernels.cu\n M src/CelerisLab/lbm/kernels/step/esopull_sync.cu\n M src/CelerisLab/lbm/kernels/step/init_flow.cu\n M src/CelerisLab/lbm/kernels/step/one_step_double.cu\n M src/CelerisLab/lbm/kernels/step/one_step_esopull.cu\n M src/CelerisLab/lbm/kernels/streaming/esopull_semantic_helpers.cuh\n M src/CelerisLab/lbm/stepper.py\n M src/CelerisLab/simulation.py\n M tests/integration/test_body_sync_e2e.py\n M tests/integration/test_ddf_patch.py\n M tests/integration/test_sync_bodies_skeleton.py\n M tests/integration/test_unified_obs.py\n M tests/postproc/experiment.ipynb\n M tests/validation/run_kan99b_rotating_cylinder.py\n M tests/validation/run_sah04_st_matrix.py\n M tests/validation/test_sensor_accuracy.py\n?? docs/design/\n?? docs/multilevel_grid_architecture_analysis.md\n?? examples/\n?? research/\n?? src/CelerisLab/lbm/kernels/boundary/planar_velocity.cuh\n?? src/CelerisLab/lbm/kernels/refinement.cu\n?? src/CelerisLab/lbm/refinement.py\n?? src/CelerisLab/lbm/refinement_stepper.py\n?? \"tests/audit/body\\345\\210\\240\\345\\207\\217\\345\\212\\237\\350\\203\\275.md\"\n?? tests/integration/_cases.py\n?? tests/integration/test_numerical_gpu.py\n?? tests/integration/test_runtime_contracts_gpu.py\n?? tests/integration/test_state_gpu.py\n?? tests/integration/test_surface_actuation_gpu.py\n?? tests/unit/cpp/\n?? tests/unit/test_build_contracts.py\n?? tests/unit/test_context_ownership.py\n?? tests/unit/test_initializers.py\n?? tests/unit/test_numerical_operators.py\n?? tests/unit/test_planar_velocity.py\n?? tests/unit/test_refinement.py\n?? tests/unit/test_reservoir.py\n?? tests/unit/test_simulation_lifecycle.py\n?? tests/unit/test_slot_velocity.py\n?? tests/unit/test_state_regressions.py\n?? tests/unit/test_surface_actuation.py\n?? tests/validation/analyze_j3_saved_frames.py\n?? tests/validation/diagnose_j3_lags.py\n?? tests/validation/multigrid/\n?? tests/validation/run_j1.py\n?? tests/validation/run_j2_slot.py\n?? tests/validation/run_j3_coverage.py\n?? tests/validation/run_j3_reservoir.py\n?? tests/validation/run_poiseuille.py\n",
+  "diff_sha256": "9511a0f105edd655f08fbbb22b0330729ee6b610b15febfa38403c4ec506c88b",
+  "cleanup": {
+    "baseline_copy_path": "/tmp/celeris-surface-baseline-i8y0r5qt",
+    "baseline_copy_bytes": 1547067,
+    "runner_path": "/tmp/celeris-surface-gpu-run.py",
+    "note": "Own before-copies removed after incremental diff reverse-apply check; baseline hashes and exact incremental patch retained. GPU compile scratch had already been removed by the runner.",
+    "baseline_copy_removed": true,
+    "runner_removed": true
+  },
+  "evidence_hashes": {
+    "report.txt": "128dd731124542be4ba50fe18d24ceb0a5b37f0329bcf32cdda4de3f1514b0c7",
+    "gpu_run.json": "e06268a9acdb3c6ced30e58d684c427aeaaa427b7098da55e60f9a4854a8aa58",
+    "gpu_stdout.txt": "bc882fe06353f12ab2b85bc5c9b7e6a23adf705d9e2ab6a529ca8afa49a5166a",
+    "cpu_surface_command.txt": "7204f2326b37ce0b4bf05e806935974fb91246922f7e3760dbab0627d94f07ef",
+    "baseline.json": "4456d6718db2ad3335c372368e3e1a0a384d78319855a0a9d4cdfca02f28a4c7",
+    "cpu_initial.txt": "2c19cce736bac1da5ccacf06b0c71b0e1affcd385e1346d2ab9a0cab5567842a",
+    "cpu_surface_exit.txt": "9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa",
+    "cpu_surface_stdout.txt": "8e47fbdb3f81736adfbb0df2621df4953cf20f2e49cf63a9518b32e6a524fc20",
+    "incremental.diff": "9511a0f105edd655f08fbbb22b0330729ee6b610b15febfa38403c4ec506c88b",
+    "cpu_checkpoint_stdout.txt": "d740f1038fb46c8c49a0677d9b0d3677ef461bc14cf58f92eb8bd9ad3b1c97f9",
+    "cpu_checkpoint_run.json": "8970cd51e65172d47ed3dd16fd118923708dbb2309b213fb819a4c9e3f2e67d0"
+  }
+}
diff --git a/research/surface_actuation_20261014/report.txt b/research/surface_actuation_20261014/report.txt
new file mode 100644
index 0000000..1162a64
--- /dev/null
+++ b/research/surface_actuation_20261014/report.txt
@@ -0,0 +1,66 @@
+2026-10-14 — 静止圆局部表面吹吸，实施与验证
+
+A 已完成当前受限增量。新增 SurfaceActuation(angle, half_width, normal_velocity)，
+由 Simulation.add_body('circle', ..., surface_actuation={...}) 或 cylinder body config
+设置。角度为弧度，正速度沿 solid→fluid 法向；采用 (1-s²)² 平滑孔口剖面。
+范围：D2Q9 / FP32 / unshifted / double_buffer，圆保持静止。
+
+实现路径与简洁性
+- 不改原八列 cut-link 几何、packer 或 geometry SHA。由已有真实 hit−center
+  得到圆法向及孔口角度；不使用流体节点角度或被截断的 q 重建命中点。
+- 独立 Nx2 表面速度 → CurvedBoundaryKernel → 现有 BFL 两分支/halfway fallback。
+  不占用 omega 控制槽。未开启时不分配两个新 GPU 缓冲；零速度保留原算式路径。
+- read_surface_exchange(id) 返回最后一步 wall/aperture 的 (Fx,Fy,Tz)。这是
+  离散边界动量交换，不是喷嘴总推力，也不输出质量流率；同步/恢复后清零。
+- 规格不可变，禁止非静止状态及不支持的模式；无有效孔口/重复写者/非流体接收
+  节点在同步或恢复写入之前拒绝。同步复制规格，释放/重建相应缓冲。
+- 带规格（包括零振幅）checkpoint 保存为 v4，旧 reader 会拒绝，避免静默按
+  普通固壁恢复；无驱动仍保存 v3。新 loader 接收 v1–v4，严格核对几何和规格，
+  恢复前拒绝非零 saved vx/vy/omega 或 applied omega。
+
+本次相对开始时工作树：9 个生产文件 +222/−27（净 +195），2 个新测试文件
+共 479 行。incremental.diff 仅包含本次变化，不混入历史未提交修改。
+baseline.json 记录 HEAD、当时 status、380 个 src/tests/examples 文件哈希；
+manifest.json 确认除本次 9 个生产文件之外的 371 个基线文件不变。
+未修改 refinement、既有 jet 案例、DynamisLab；未安装依赖、提交或推送。
+
+验证（现有 pycuda_3_10 环境，显式 PYTHONPATH=/home/frank14f/CelerisLab/src）
+- 初始相关回归：44 passed，1.60s，exit 0，见 cpu_initial.txt。
+- 新 CPU 规格/恢复/内存生命周期测试：31 passed，0.41s，exit 0。
+- checkpoint 版本调整后的针对性回归：30 passed，0.63s，exit 0。
+  这 30 项属于此前 44 项的重测，不重复计入不同测试数。
+- 新 GPU 测试：6 passed，19.80s，exit 0。独立 FP64 解析检查正负驱动、
+  q=.2/.5/.8 和 fallback；真实圆的 incoming populations、质量/动量账本、
+  力矩及 wall/aperture 分区；零驱动与旧路径逐元素完全相等；实际 checkpoint
+  恢复后 2 步续算与原运行逐元素完全相等。未声称包括正负零符号的逐字节等同。
+- GPU 前置预检：设备 0 UUID GPU-e8853ae7-a302-6a17-bcfa-aa767e9ed20c，
+  占用 5 MiB、利用率 0、无计算进程；设备 1 未运行任务。
+  进程组峰值 RSS 397094912 bytes，VRAM 最小空闲 15826 MiB，
+  RAM 最小空闲 63571013632 bytes，本次相关临时空间采样峰值 3579568 bytes。
+  无固定 RSS/address-space 上限；按实际余量保留 RAM/VRAM、120s 时间界限、
+  2GB 本次临时空间界限。采样监测不是 OS 硬资源隔离。原始命令/环境见 gpu_run.json。
+- git diff --check 与增量 patch 反向可应用检查通过。
+
+参考依据（算法对照，未复制外部代码）
+OpenLB fb62326f260bf0c5ec2666fc5e055c0813ff50a9：
+1. ref/OpenLB/src/boundary/defineU2D.hh:74–79 在真实 intersection 上取完整速度。
+2. ref/OpenLB/src/boundary/offBoundaryPostProcessors2D.hh:115–127,153–155
+   的两段速度修正与现有 BFL 方向约定对照；本库方向为 fluid→solid，故负号。
+3. 本库沿用自身 rho_wall 约定及 fallback；未直接搬用外部 dynamics 密度约定。
+4. 原 apply_bouzidi_link 的 c_i*(f_toward+f_reflected) 动量交换保持不变；
+   新诊断仅保留逐链接结果后按孔口分区，力矩使用原真实 lever arm。
+OpenLB 为 GPL-2.0-or-later，仅作来源对照。
+
+B 独立分析见 ../wall_seam_pulse_20261014/。
+三个单位 population 脉冲表明，在该脚本明确限定的候选运输假设下，单改 BB/
+coalescence 优先级或排除 solid-source 记录仍产生 ±0.25 权重残差。
+prestream 与 postpull BB 两次 fine hop 等价，且目的 slot 唯一写者并不足以
+保证每个初始 packet 只有一个全局所有者。没有碰撞、GPU 或生产 refinement
+修改，不能称为现存 backend 或外部库的 bug。一次真实执行 exit 0；随后仅
+删除固定 AS 上限且未重跑，执行版/当前版哈希和原始输出保持可追踪。
+
+限制与停点
+GPU 验证使用 SRT；未开展长时稳定性、空间收敛、真实质量流率标定、性能基准，
+也未据此宣称 MRT/TRT 的物理精度或多层网格交界正确。当前只是静止圆的局部
+表面吹吸，没有移动物体/喷嘴内部，也没有将该边界接入 refinement。
+本步已停止扩展，留待独立审查；B 的交界所有权方案仍需重新设计与验证。
diff --git a/research/wall_seam_pulse_20261014/analyze.py b/research/wall_seam_pulse_20261014/analyze.py
new file mode 100644
index 0000000..ed7cf69
--- /dev/null
+++ b/research/wall_seam_pulse_20261014/analyze.py
@@ -0,0 +1,231 @@
+"""One-interval, collision-free population-basis analysis; NOT an LBM solver.
+
+No production imports/maps, CUDA, collision, force, or time-stepping benchmark.
+The hypotheses below extend the current geometric transfer to a wall crossing;
+they are not claims about the shipped backend or any external implementation.
+Run: python research/wall_seam_pulse_20261014/analyze.py
+"""
+from dataclasses import dataclass
+from pathlib import Path
+import csv
+import hashlib
+import json
+import resource
+
+resource.setrlimit(resource.RLIMIT_FSIZE, (2*1024**2, 2*1024**2))
+OUT = Path(__file__).resolve().parent
+ROOT = OUT.parents[1]
+N, NF = 16, 24
+LO, HI, HALO = 4, 12, 4
+CX = (0, 1, -1, 0, 0, 1, -1, 1, -1)
+CY = (0, 0, 0, 1, -1, 1, -1, -1, 1)
+OPP = (0, 2, 1, 4, 3, 6, 5, 8, 7)
+
+
+def covered(x, y):
+    return LO <= x < HI and LO <= y < HI
+
+
+def coarse_fluid(x, y):
+    return 0 <= x < N and 8 <= y < 15
+
+
+def fine_fluid(x, y):
+    return 0 <= x < NF and 0 <= y < NF and 8 < 2+(y+.5)/2 < 15
+
+
+def active(x, y):
+    return HALO <= x < NF-HALO and HALO <= y < NF-HALO and fine_fluid(x, y)
+
+
+def parent(x, y):
+    return LO+(x-HALO)//2, LO+(y-HALO)//2
+
+
+def fine_targets():
+    return [(x, y) for y in range(2, NF-2) for x in range(2, NF-2) if fine_fluid(x, y)]
+
+
+@dataclass(frozen=True)
+class Packet:
+    phase: str
+    slot: tuple  # (q, x, y)
+    value: float
+    operation: str
+    parents: tuple = ()  # (Packet, coefficient); includes zero-valued inputs
+
+
+def derive(phase, slot, operation, parents):
+    return Packet(phase, slot, sum(p.value*w for p, w in parents), operation, tuple(parents))
+
+
+def initialize(pulse):
+    level, q0, x0, y0 = pulse
+    coarse = {(q, x, y): Packet('Gc0', (q, x, y), float(('coarse', q, x, y) == pulse), 'input')
+              for y in range(N) for x in range(N) if coarse_fluid(x, y) and not covered(x, y)
+              for q in range(9)}
+    fine = {}
+    for y in range(NF):
+        for x in range(NF):
+            # Full fine footprint: a shared parent and its four children must
+            # agree, including outer halo and solid cells (which hold no data).
+            px, py = parent(x, y)
+            if fine_fluid(x, y) != coarse_fluid(px, py):
+                raise AssertionError('parent/child physical classifications disagree')
+            if not fine_fluid(x, y):
+                continue
+            for q in range(9):
+                key = q, x, y
+                if active(x, y):
+                    fine[key] = Packet('Gf0', key, float(('fine', q, x, y) == pulse), 'input')
+                else:
+                    fine[key] = derive('Gf0', key, 'explode', [(coarse[q, px, py], 1)])
+    if level == 'coarse':
+        assert sum(p.value for p in coarse.values()) == 1
+    else:
+        assert active(x0, y0) and sum(p.value for p in fine.values() if p.operation == 'input') == 1
+    return coarse, fine
+
+
+def fine_hop(inp, hop, prestream=False):
+    phase = ('pre_' if prestream else '')+f'F{hop}'
+    staged = dict(inp)
+    if prestream:
+        written = set()
+        # Independent prestream form: write the missing solid-source slots.
+        # Each (q,source) has exactly one fluid destination in a pull scheme.
+        for x, y in fine_targets():
+            for q in range(9):
+                sx, sy = x-CX[q], y-CY[q]
+                if not fine_fluid(sx, sy) and (OPP[q], x, y) in inp:
+                    key = q, sx, sy
+                    assert key not in written
+                    written.add(key)
+                    staged[key] = derive(phase+'_BCscratch', key, 'prestream_BB', [(inp[OPP[q], x, y], 1)])
+    out = {}
+    for x, y in fine_targets():
+        for q in range(9):
+            key, source = (q, x, y), (q, x-CX[q], y-CY[q])
+            if prestream or fine_fluid(source[1], source[2]):
+                donor, op = staged.get(source), 'pull'
+            else:
+                donor, op = inp.get((OPP[q], x, y)), 'local_BB'
+            if donor is not None:
+                assert key not in out
+                out[key] = derive(phase, key, op, [(donor, 1)])
+    # Missing slots are explicitly invalid, not zero; outer halo is not output.
+    return out
+
+
+def links():
+    result = {}
+    for y in range(N):
+        for x in range(N):
+            if not coarse_fluid(x, y) or covered(x, y):
+                continue
+            for q in range(1, 9):
+                if LO <= x+.5-CX[q]/2 <= HI and LO <= y+.5-CY[q]/2 <= HI:
+                    a, b = HALO+2*(x-LO), HALO+2*(y-LO)
+                    result[q, x, y] = [(q, a+dx, b+dy) for dy in (0, 1) for dx in (0, 1)]
+    return result
+
+
+LINKS = links()
+HYPOTHESES = ('coarse_BB_then_coalesce', 'coalesce_then_coarse_BB', 'omit_solid_source_links')
+
+
+def coarse_arrivals(gc, f2, hypothesis):
+    out = {}
+    for q, x, y in gc:
+        key = q, x, y
+        sx, sy = (x-CX[q]) % N, (y-CY[q]) % N
+        wall = not coarse_fluid(sx, sy)
+        transfer = key in LINKS
+        if hypothesis == 'omit_solid_source_links' and wall:
+            transfer = False
+        # Functional final assignment models the specified ordered overrides.
+        # Every destination has one final writer; this alone does not prove
+        # that one initial packet has only one physical owner globally.
+        if transfer and (not wall or hypothesis == 'coarse_BB_then_coalesce'):
+            parents = [(f2[child], .25) for child in LINKS[key]]
+            node = derive('Fc1', key, 'coalescence', parents)
+        elif wall:
+            node = derive('Fc1', key, 'coarse_BB', [(gc[OPP[q], x, y], 1)])
+        else:
+            node = derive('Fc1', key, 'coarse_pull', [(gc[q, sx, sy], 1)])
+        assert key not in out
+        out[key] = node
+    return out
+
+
+def trace(p, contribution=1.):
+    return dict(phase=p.phase, slot=list(p.slot), operation=p.operation,
+                value=p.value, downstream_weight=contribution,
+                parents=[trace(parent, contribution*w) for parent, w in p.parents if parent.value])
+
+
+def main():
+    cases = [('outer_coarse_q7', ('coarse', 7, 2, 8)),
+             ('adjacent_coarse_q7', ('coarse', 7, 3, 8)),
+             ('active_fine_q7', ('fine', 7, 4, 12))]
+    rows, results = [], []
+    for name, pulse in cases:
+        gc, gf = initialize(pulse)
+        f1 = fine_hop(gf, 1)
+        f2 = fine_hop(f1, 2)
+        pre1 = fine_hop(gf, 1, prestream=True)
+        pre2 = fine_hop(pre1, 2, prestream=True)
+        assert {k: p.value for k, p in f1.items()} == {k: p.value for k, p in pre1.items()}
+        assert {k: p.value for k, p in f2.items()} == {k: p.value for k, p in pre2.items()}
+        assert all(child in f2 for children in LINKS.values() for child in children)
+        initial = 1. if pulse[0] == 'coarse' else .25
+        fine_mass = .25*sum(p.value for (q, x, y), p in f2.items() if active(x, y))
+        for phase in (gc, gf, f1, f2):
+            for node in phase.values():
+                if node.value:
+                    rows.append((name, 'shared', node.phase, *node.slot, node.operation, node.value,
+                                 ';'.join(f'{p.phase}:{p.slot}*{w}' for p, w in node.parents)))
+        for hypothesis in HYPOTHESES:
+            out = coarse_arrivals(gc, f2, hypothesis)
+            coarse_mass = sum(p.value for p in out.values())
+            selected = out[8, 3, 8]
+            item = dict(case=name, pulse=pulse, hypothesis=hypothesis,
+                        initial_leaf_weight=initial, coarse_leaf_weight=coarse_mass,
+                        fine_leaf_weight=fine_mass, total_leaf_weight=coarse_mass+fine_mass,
+                        residual=coarse_mass+fine_mass-initial,
+                        inspected_slot=[8, 3, 8], selected_writer=selected.operation,
+                        inspected_value=selected.value,
+                        final_nonzero_traces=[trace(p) for p in out.values() if p.value])
+            results.append(item)
+            for node in out.values():
+                if node.value:
+                    rows.append((name, hypothesis, node.phase, *node.slot, node.operation, node.value,
+                                 ';'.join(f'{p.phase}:{p.slot}*{w}' for p, w in node.parents)))
+            print(f'{name:20s} {hypothesis:27s} initial={initial:g} coarse={coarse_mass:g} '
+                  f'fine={fine_mass:g} residual={item["residual"]:+g}; '
+                  f'K(3,8),q8={selected.value:g} ({selected.operation})')
+    sources = ['src/CelerisLab/lbm/refinement.py', 'src/CelerisLab/lbm/refinement_stepper.py',
+               'src/CelerisLab/lbm/kernels/refinement.cu',
+               'src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh']
+    report = dict(scope='Independent single-interval linear packet/basis analysis; no collision or solver execution',
+                  geometry=dict(coarse=[16, 16], patch=[4, 4, 12, 12], fine=[24, 24],
+                                fine_origin=[2, 2], coarse_dx_dt=[1, 1], fine_dx_dt=[.5, .5], walls_Y=[8, 15]),
+                  assumptions=['fluid active populations pass unchanged between fine hops (identity transfer probe)',
+                               'fine fluid inner ghosts reflect, never collide; outer halo output is invalid',
+                               'solid destinations omitted; no filtering by coarse source in geometric LINKS',
+                               'coalescence is equal-weight average of four children of each coarse target',
+                               'results test these proposed extensions, not current production support or external libraries'],
+                  prestream_vs_postpull='Exact values and validity match on both hops for all three probes',
+                  source_files_read_only={p: hashlib.sha256((ROOT/p).read_bytes()).hexdigest() for p in sources},
+                  script_sha256=hashlib.sha256(Path(__file__).read_bytes()).hexdigest(), results=results)
+    (OUT/'results.json').write_text(json.dumps(report, indent=2)+'\n')
+    with (OUT/'sources.csv').open('w', newline='') as stream:
+        writer = csv.writer(stream)
+        writer.writerow(('case', 'hypothesis', 'phase', 'q', 'x', 'y', 'operation', 'value', 'immediate_sources'))
+        writer.writerows(rows)
+    print('Prestream/postpull equivalence, valid coalescence reads, and unique destination writes: PASS')
+    print(f'peak_rss_MiB={resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024:.3f}')
+
+
+if __name__ == '__main__':
+    main()
diff --git a/research/wall_seam_pulse_20261014/interpretation.txt b/research/wall_seam_pulse_20261014/interpretation.txt
new file mode 100644
index 0000000..90935db
--- /dev/null
+++ b/research/wall_seam_pulse_20261014/interpretation.txt
@@ -0,0 +1,59 @@
+Scope and reproduction
+----------------------
+Run the exact command in run.json using the existing Python environment. This
+script uses only the standard library and derives all transfer links from
+literal physical coordinates. Production files are hashed for context only;
+no production solver, exchange map, boundary helper or CUDA code is imported.
+Only this newly created evidence directory was written by this analysis.
+
+The inputs are unit basis coefficients, NOT finite-density physical LBM states.
+Fine active populations pass unchanged between hops. F1/F2 therefore denote
+transport/BB stages of an identity-transfer probe, not an SRT validation. These
+results do not establish a bug in the shipped backend (which does not implement
+this wall-crossing mode) or in any external library.
+
+Fixed geometry
+--------------
+Coarse 16x16, centers (x+.5,y+.5), dx=dt=1. Patch [4,12)x[4,12).
+Fine 24x24 with halo 4, origin (2,2), centers origin+.5*(index+.5), dx=dt=.5.
+Halfway planes Y=8 and Y=15; fluid occupies 8<Y<15, periodic x.
+Parent/child fluid classification is checked over the entire fine footprint.
+Only fluid active cells count as fine leaves; solid targets are absent.
+Every valid fine ghost is exploded once. Inner fluid ghosts stream/reflect but
+never collide; outer halo is absent after each hop. Invalid is distinct from 0.
+Coalescence uses independently derived closed link midpoints and four children
+with weight 1/4, and excludes solid TARGETS, not solid-source directions.
+
+Three proposed extensions, none generally conservative in these probes
+---------------------------------------------------------------------
+1. Coarse BB then coalescence: final writer for intersecting slots is F->C.
+2. Coalescence then coarse BB: final writer for solid-source slots is coarse BB.
+3. Omit solid-source coalescence slots: coincides numerically with option 2 here.
+All alternatives assign each final destination once; source ownership still
+duplicates or loses packets, as the numeric totals in stdout/results show.
+
+Measured packet path for Gc(q7,x2,y8)
+-----------------------------------
+Gc0(7,2,8) --explosion--> Gf0(7,1,13)
+ --hop1 pull--> F1(7,2,12) --hop2 local BB--> F2(8,2,12)
+ --weight .25 coalescence--> Fc1(8,3,8).
+Option 1 also retains the full independent coarse BB at Fc1(8,2,8), producing
+total leaf weight 1.25 from 1. Options 2/3 avoid this particular duplication,
+but the adjacent coarse pulse produces 1.25 from 1, and the fine-active pulse
+loses its entire initial leaf weight .25. Thus neither blanket precedence nor
+blanket solid-source filtering resolves the seam.
+
+Both local postpull BB and an independently implemented prestream solid-slot
+write yield exactly equal values AND validity sets for both fine hops on all
+three probes. This establishes equivalence only for the explicit footprint and
+operations in this script; it is not a reproduction of an external library.
+
+Next inference, not implemented
+------------------------------
+A correct wall/interface transfer needs per-packet geometric ownership beyond
+these unmodified straight-link four-child rules. Preserve this counterexample
+and both controls when proposing that ownership. No scaling fix, interpolation,
+wall-shear solver run, GPU experiment, or production change was attempted.
+sources.csv records all nonzero stages; results.json includes recursive final
+coarse ancestry, weights, parameter scope, and hashes. stdout.txt is the raw
+single-run output. run.json records the observed exit and resource limits.
diff --git a/research/wall_seam_pulse_20261014/results.json b/research/wall_seam_pulse_20261014/results.json
new file mode 100644
index 0000000..678a075
--- /dev/null
+++ b/research/wall_seam_pulse_20261014/results.json
@@ -0,0 +1,621 @@
+{
+  "scope": "Independent single-interval linear packet/basis analysis; no collision or solver execution",
+  "geometry": {
+    "coarse": [
+      16,
+      16
+    ],
+    "patch": [
+      4,
+      4,
+      12,
+      12
+    ],
+    "fine": [
+      24,
+      24
+    ],
+    "fine_origin": [
+      2,
+      2
+    ],
+    "coarse_dx_dt": [
+      1,
+      1
+    ],
+    "fine_dx_dt": [
+      0.5,
+      0.5
+    ],
+    "walls_Y": [
+      8,
+      15
+    ]
+  },
+  "assumptions": [
+    "fluid active populations pass unchanged between fine hops (identity transfer probe)",
+    "fine fluid inner ghosts reflect, never collide; outer halo output is invalid",
+    "solid destinations omitted; no filtering by coarse source in geometric LINKS",
+    "coalescence is equal-weight average of four children of each coarse target",
+    "results test these proposed extensions, not current production support or external libraries"
+  ],
+  "prestream_vs_postpull": "Exact values and validity match on both hops for all three probes",
+  "source_files_read_only": {
+    "src/CelerisLab/lbm/refinement.py": "554735c5613129eb29f339c6aeeb4f3a3bbc5aba67558be51fbf7c2fb6ac442a",
+    "src/CelerisLab/lbm/refinement_stepper.py": "ad57a6a3887b007488b4954b24ff06cd8cde2b12674bdafb97bfda1961ae1da4",
+    "src/CelerisLab/lbm/kernels/refinement.cu": "025c59dc9c207a831e78e1635cb3f14fe60b64c021004a0d66e5d01fda8554b5",
+    "src/CelerisLab/lbm/kernels/boundary/bounce_back.cuh": "aba3748c564ed91b161d268ef8b737b7c7be96a823063d201f3da684dd845233"
+  },
+  "script_sha256": "bb4a8587e95835794ce08be3483d603afb8987a59f6c7cde39cf201395f6f541",
+  "results": [
+    {
+      "case": "outer_coarse_q7",
+      "pulse": [
+        "coarse",
+        7,
+        2,
+        8
+      ],
+      "hypothesis": "coarse_BB_then_coalesce",
+      "initial_leaf_weight": 1.0,
+      "coarse_leaf_weight": 1.25,
+      "fine_leaf_weight": 0.0,
+      "total_leaf_weight": 1.25,
+      "residual": 0.25,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coalescence",
+      "inspected_value": 0.25,
+      "final_nonzero_traces": [
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            2,
+            8
+          ],
+          "operation": "coarse_BB",
+          "value": 1.0,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "Gc0",
+              "slot": [
+                7,
+                2,
+                8
+              ],
+              "operation": "input",
+              "value": 1.0,
+              "downstream_weight": 1.0,
+              "parents": []
+            }
+          ]
+        },
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            3,
+            8
+          ],
+          "operation": "coalescence",
+          "value": 0.25,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "F2",
+              "slot": [
+                8,
+                2,
+                12
+              ],
+              "operation": "local_BB",
+              "value": 1.0,
+              "downstream_weight": 0.25,
+              "parents": [
+                {
+                  "phase": "F1",
+                  "slot": [
+                    7,
+                    2,
+                    12
+                  ],
+                  "operation": "pull",
+                  "value": 1.0,
+                  "downstream_weight": 0.25,
+                  "parents": [
+                    {
+                      "phase": "Gf0",
+                      "slot": [
+                        7,
+                        1,
+                        13
+                      ],
+                      "operation": "explode",
+                      "value": 1.0,
+                      "downstream_weight": 0.25,
+                      "parents": [
+                        {
+                          "phase": "Gc0",
+                          "slot": [
+                            7,
+                            2,
+                            8
+                          ],
+                          "operation": "input",
+                          "value": 1.0,
+                          "downstream_weight": 0.25,
+                          "parents": []
+                        }
+                      ]
+                    }
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "case": "outer_coarse_q7",
+      "pulse": [
+        "coarse",
+        7,
+        2,
+        8
+      ],
+      "hypothesis": "coalesce_then_coarse_BB",
+      "initial_leaf_weight": 1.0,
+      "coarse_leaf_weight": 1.0,
+      "fine_leaf_weight": 0.0,
+      "total_leaf_weight": 1.0,
+      "residual": 0.0,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coarse_BB",
+      "inspected_value": 0.0,
+      "final_nonzero_traces": [
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            2,
+            8
+          ],
+          "operation": "coarse_BB",
+          "value": 1.0,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "Gc0",
+              "slot": [
+                7,
+                2,
+                8
+              ],
+              "operation": "input",
+              "value": 1.0,
+              "downstream_weight": 1.0,
+              "parents": []
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "case": "outer_coarse_q7",
+      "pulse": [
+        "coarse",
+        7,
+        2,
+        8
+      ],
+      "hypothesis": "omit_solid_source_links",
+      "initial_leaf_weight": 1.0,
+      "coarse_leaf_weight": 1.0,
+      "fine_leaf_weight": 0.0,
+      "total_leaf_weight": 1.0,
+      "residual": 0.0,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coarse_BB",
+      "inspected_value": 0.0,
+      "final_nonzero_traces": [
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            2,
+            8
+          ],
+          "operation": "coarse_BB",
+          "value": 1.0,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "Gc0",
+              "slot": [
+                7,
+                2,
+                8
+              ],
+              "operation": "input",
+              "value": 1.0,
+              "downstream_weight": 1.0,
+              "parents": []
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "case": "adjacent_coarse_q7",
+      "pulse": [
+        "coarse",
+        7,
+        3,
+        8
+      ],
+      "hypothesis": "coarse_BB_then_coalesce",
+      "initial_leaf_weight": 1.0,
+      "coarse_leaf_weight": 0.5,
+      "fine_leaf_weight": 0.25,
+      "total_leaf_weight": 0.75,
+      "residual": -0.25,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coalescence",
+      "inspected_value": 0.5,
+      "final_nonzero_traces": [
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            3,
+            8
+          ],
+          "operation": "coalescence",
+          "value": 0.5,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "F2",
+              "slot": [
+                8,
+                3,
+                12
+              ],
+              "operation": "local_BB",
+              "value": 1.0,
+              "downstream_weight": 0.25,
+              "parents": [
+                {
+                  "phase": "F1",
+                  "slot": [
+                    7,
+                    3,
+                    12
+                  ],
+                  "operation": "pull",
+                  "value": 1.0,
+                  "downstream_weight": 0.25,
+                  "parents": [
+                    {
+                      "phase": "Gf0",
+                      "slot": [
+                        7,
+                        2,
+                        13
+                      ],
+                      "operation": "explode",
+                      "value": 1.0,
+                      "downstream_weight": 0.25,
+                      "parents": [
+                        {
+                          "phase": "Gc0",
+                          "slot": [
+                            7,
+                            3,
+                            8
+                          ],
+                          "operation": "input",
+                          "value": 1.0,
+                          "downstream_weight": 0.25,
+                          "parents": []
+                        }
+                      ]
+                    }
+                  ]
+                }
+              ]
+            },
+            {
+              "phase": "F2",
+              "slot": [
+                8,
+                2,
+                13
+              ],
+              "operation": "pull",
+              "value": 1.0,
+              "downstream_weight": 0.25,
+              "parents": [
+                {
+                  "phase": "F1",
+                  "slot": [
+                    8,
+                    3,
+                    12
+                  ],
+                  "operation": "local_BB",
+                  "value": 1.0,
+                  "downstream_weight": 0.25,
+                  "parents": [
+                    {
+                      "phase": "Gf0",
+                      "slot": [
+                        7,
+                        3,
+                        12
+                      ],
+                      "operation": "explode",
+                      "value": 1.0,
+                      "downstream_weight": 0.25,
+                      "parents": [
+                        {
+                          "phase": "Gc0",
+                          "slot": [
+                            7,
+                            3,
+                            8
+                          ],
+                          "operation": "input",
+                          "value": 1.0,
+                          "downstream_weight": 0.25,
+                          "parents": []
+                        }
+                      ]
+                    }
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "case": "adjacent_coarse_q7",
+      "pulse": [
+        "coarse",
+        7,
+        3,
+        8
+      ],
+      "hypothesis": "coalesce_then_coarse_BB",
+      "initial_leaf_weight": 1.0,
+      "coarse_leaf_weight": 1.0,
+      "fine_leaf_weight": 0.25,
+      "total_leaf_weight": 1.25,
+      "residual": 0.25,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coarse_BB",
+      "inspected_value": 1.0,
+      "final_nonzero_traces": [
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            3,
+            8
+          ],
+          "operation": "coarse_BB",
+          "value": 1.0,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "Gc0",
+              "slot": [
+                7,
+                3,
+                8
+              ],
+              "operation": "input",
+              "value": 1.0,
+              "downstream_weight": 1.0,
+              "parents": []
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "case": "adjacent_coarse_q7",
+      "pulse": [
+        "coarse",
+        7,
+        3,
+        8
+      ],
+      "hypothesis": "omit_solid_source_links",
+      "initial_leaf_weight": 1.0,
+      "coarse_leaf_weight": 1.0,
+      "fine_leaf_weight": 0.25,
+      "total_leaf_weight": 1.25,
+      "residual": 0.25,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coarse_BB",
+      "inspected_value": 1.0,
+      "final_nonzero_traces": [
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            3,
+            8
+          ],
+          "operation": "coarse_BB",
+          "value": 1.0,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "Gc0",
+              "slot": [
+                7,
+                3,
+                8
+              ],
+              "operation": "input",
+              "value": 1.0,
+              "downstream_weight": 1.0,
+              "parents": []
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "case": "active_fine_q7",
+      "pulse": [
+        "fine",
+        7,
+        4,
+        12
+      ],
+      "hypothesis": "coarse_BB_then_coalesce",
+      "initial_leaf_weight": 0.25,
+      "coarse_leaf_weight": 0.25,
+      "fine_leaf_weight": 0.0,
+      "total_leaf_weight": 0.25,
+      "residual": 0.0,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coalescence",
+      "inspected_value": 0.25,
+      "final_nonzero_traces": [
+        {
+          "phase": "Fc1",
+          "slot": [
+            8,
+            3,
+            8
+          ],
+          "operation": "coalescence",
+          "value": 0.25,
+          "downstream_weight": 1.0,
+          "parents": [
+            {
+              "phase": "F2",
+              "slot": [
+                8,
+                3,
+                13
+              ],
+              "operation": "pull",
+              "value": 1.0,
+              "downstream_weight": 0.25,
+              "parents": [
+                {
+                  "phase": "F1",
+                  "slot": [
+                    8,
+                    4,
+                    12
+                  ],
+                  "operation": "local_BB",
+                  "value": 1.0,
+                  "downstream_weight": 0.25,
+                  "parents": [
+                    {
+                      "phase": "Gf0",
+                      "slot": [
+                        7,
+                        4,
+                        12
+                      ],
+                      "operation": "input",
+                      "value": 1.0,
+                      "downstream_weight": 0.25,
+                      "parents": []
+                    }
+                  ]
+                }
+              ]
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "case": "active_fine_q7",
+      "pulse": [
+        "fine",
+        7,
+        4,
+        12
+      ],
+      "hypothesis": "coalesce_then_coarse_BB",
+      "initial_leaf_weight": 0.25,
+      "coarse_leaf_weight": 0.0,
+      "fine_leaf_weight": 0.0,
+      "total_leaf_weight": 0.0,
+      "residual": -0.25,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coarse_BB",
+      "inspected_value": 0.0,
+      "final_nonzero_traces": []
+    },
+    {
+      "case": "active_fine_q7",
+      "pulse": [
+        "fine",
+        7,
+        4,
+        12
+      ],
+      "hypothesis": "omit_solid_source_links",
+      "initial_leaf_weight": 0.25,
+      "coarse_leaf_weight": 0.0,
+      "fine_leaf_weight": 0.0,
+      "total_leaf_weight": 0.0,
+      "residual": -0.25,
+      "inspected_slot": [
+        8,
+        3,
+        8
+      ],
+      "selected_writer": "coarse_BB",
+      "inspected_value": 0.0,
+      "final_nonzero_traces": []
+    }
+  ]
+}
diff --git a/research/wall_seam_pulse_20261014/run.json b/research/wall_seam_pulse_20261014/run.json
new file mode 100644
index 0000000..53e303f
--- /dev/null
+++ b/research/wall_seam_pulse_20261014/run.json
@@ -0,0 +1,16 @@
+{
+  "command": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python research/wall_seam_pulse_20261014/analyze.py > research/wall_seam_pulse_20261014/stdout.txt 2>&1",
+  "cwd": "/home/frank14f/CelerisLab",
+  "exit_code": 0,
+  "tool_wall_seconds": 0.159727377,
+  "peak_rss_MiB": 23.0,
+  "address_space_limit_MiB": 256,
+  "executed_script_sha256": "bb4a8587e95835794ce08be3483d603afb8987a59f6c7cde39cf201395f6f541",
+  "current_script_sha256": "2b174826ffaee96c147bd247ef5e322cb51d55ce506f330bac021afd012560f7",
+  "post_run_change": "Only the fixed RLIMIT_AS=256MiB line was removed; numerical algorithm unchanged. No rerun. The recorded address-space limit and exit describe the original execution. stdout.txt and results.json remain unchanged; results.json retains the executed script hash. Future resource checks follow actual available RAM/VRAM, without a fixed address-space cap.",
+  "per_file_output_limit_MiB": 2,
+  "executions": 1,
+  "GPU_used": false,
+  "solver_steps": 0,
+  "analysis": "Three unit-basis population probes; two transport/BB hops per probe, followed by three alternative coarse incoming-ownership rules. No collision or physical flow evolution."
+}
diff --git a/research/wall_seam_pulse_20261014/sources.csv b/research/wall_seam_pulse_20261014/sources.csv
new file mode 100644
index 0000000..40d3736
--- /dev/null
+++ b/research/wall_seam_pulse_20261014/sources.csv
@@ -0,0 +1,31 @@
+case,hypothesis,phase,q,x,y,operation,value,immediate_sources
+outer_coarse_q7,shared,Gc0,7,2,8,input,1.0,
+outer_coarse_q7,shared,Gf0,7,0,12,explode,1.0,"Gc0:(7, 2, 8)*1"
+outer_coarse_q7,shared,Gf0,7,1,12,explode,1.0,"Gc0:(7, 2, 8)*1"
+outer_coarse_q7,shared,Gf0,7,0,13,explode,1.0,"Gc0:(7, 2, 8)*1"
+outer_coarse_q7,shared,Gf0,7,1,13,explode,1.0,"Gc0:(7, 2, 8)*1"
+outer_coarse_q7,shared,F1,7,2,12,pull,1.0,"Gf0:(7, 1, 13)*1"
+outer_coarse_q7,shared,F2,8,2,12,local_BB,1.0,"F1:(7, 2, 12)*1"
+outer_coarse_q7,coarse_BB_then_coalesce,Fc1,8,2,8,coarse_BB,1.0,"Gc0:(7, 2, 8)*1"
+outer_coarse_q7,coarse_BB_then_coalesce,Fc1,8,3,8,coalescence,0.25,"F2:(8, 2, 12)*0.25;F2:(8, 3, 12)*0.25;F2:(8, 2, 13)*0.25;F2:(8, 3, 13)*0.25"
+outer_coarse_q7,coalesce_then_coarse_BB,Fc1,8,2,8,coarse_BB,1.0,"Gc0:(7, 2, 8)*1"
+outer_coarse_q7,omit_solid_source_links,Fc1,8,2,8,coarse_BB,1.0,"Gc0:(7, 2, 8)*1"
+adjacent_coarse_q7,shared,Gc0,7,3,8,input,1.0,
+adjacent_coarse_q7,shared,Gf0,7,2,12,explode,1.0,"Gc0:(7, 3, 8)*1"
+adjacent_coarse_q7,shared,Gf0,7,3,12,explode,1.0,"Gc0:(7, 3, 8)*1"
+adjacent_coarse_q7,shared,Gf0,7,2,13,explode,1.0,"Gc0:(7, 3, 8)*1"
+adjacent_coarse_q7,shared,Gf0,7,3,13,explode,1.0,"Gc0:(7, 3, 8)*1"
+adjacent_coarse_q7,shared,F1,8,2,12,local_BB,1.0,"Gf0:(7, 2, 12)*1"
+adjacent_coarse_q7,shared,F1,7,3,12,pull,1.0,"Gf0:(7, 2, 13)*1"
+adjacent_coarse_q7,shared,F1,8,3,12,local_BB,1.0,"Gf0:(7, 3, 12)*1"
+adjacent_coarse_q7,shared,F1,7,4,12,pull,1.0,"Gf0:(7, 3, 13)*1"
+adjacent_coarse_q7,shared,F2,8,3,12,local_BB,1.0,"F1:(7, 3, 12)*1"
+adjacent_coarse_q7,shared,F2,8,4,12,local_BB,1.0,"F1:(7, 4, 12)*1"
+adjacent_coarse_q7,shared,F2,8,2,13,pull,1.0,"F1:(8, 3, 12)*1"
+adjacent_coarse_q7,coarse_BB_then_coalesce,Fc1,8,3,8,coalescence,0.5,"F2:(8, 2, 12)*0.25;F2:(8, 3, 12)*0.25;F2:(8, 2, 13)*0.25;F2:(8, 3, 13)*0.25"
+adjacent_coarse_q7,coalesce_then_coarse_BB,Fc1,8,3,8,coarse_BB,1.0,"Gc0:(7, 3, 8)*1"
+adjacent_coarse_q7,omit_solid_source_links,Fc1,8,3,8,coarse_BB,1.0,"Gc0:(7, 3, 8)*1"
+active_fine_q7,shared,Gf0,7,4,12,input,1.0,
+active_fine_q7,shared,F1,8,4,12,local_BB,1.0,"Gf0:(7, 4, 12)*1"
+active_fine_q7,shared,F2,8,3,13,pull,1.0,"F1:(8, 4, 12)*1"
+active_fine_q7,coarse_BB_then_coalesce,Fc1,8,3,8,coalescence,0.25,"F2:(8, 2, 12)*0.25;F2:(8, 3, 12)*0.25;F2:(8, 2, 13)*0.25;F2:(8, 3, 13)*0.25"
diff --git a/research/wall_seam_pulse_20261014/stdout.txt b/research/wall_seam_pulse_20261014/stdout.txt
new file mode 100644
index 0000000..756d8c3
--- /dev/null
+++ b/research/wall_seam_pulse_20261014/stdout.txt
@@ -0,0 +1,11 @@
+outer_coarse_q7      coarse_BB_then_coalesce     initial=1 coarse=1.25 fine=0 residual=+0.25; K(3,8),q8=0.25 (coalescence)
+outer_coarse_q7      coalesce_then_coarse_BB     initial=1 coarse=1 fine=0 residual=+0; K(3,8),q8=0 (coarse_BB)
+outer_coarse_q7      omit_solid_source_links     initial=1 coarse=1 fine=0 residual=+0; K(3,8),q8=0 (coarse_BB)
+adjacent_coarse_q7   coarse_BB_then_coalesce     initial=1 coarse=0.5 fine=0.25 residual=-0.25; K(3,8),q8=0.5 (coalescence)
+adjacent_coarse_q7   coalesce_then_coarse_BB     initial=1 coarse=1 fine=0.25 residual=+0.25; K(3,8),q8=1 (coarse_BB)
+adjacent_coarse_q7   omit_solid_source_links     initial=1 coarse=1 fine=0.25 residual=+0.25; K(3,8),q8=1 (coarse_BB)
+active_fine_q7       coarse_BB_then_coalesce     initial=0.25 coarse=0.25 fine=0 residual=+0; K(3,8),q8=0.25 (coalescence)
+active_fine_q7       coalesce_then_coarse_BB     initial=0.25 coarse=0 fine=0 residual=-0.25; K(3,8),q8=0 (coarse_BB)
+active_fine_q7       omit_solid_source_links     initial=0.25 coarse=0 fine=0 residual=-0.25; K(3,8),q8=0 (coarse_BB)
+Prestream/postpull equivalence, valid coalescence reads, and unique destination writes: PASS
+peak_rss_MiB=23.000
diff --git a/tests/validation/multigrid/cpuref_0_3_evidence/README.txt b/tests/validation/multigrid/cpuref_0_3_evidence/README.txt
new file mode 100644
index 0000000..62897bf
--- /dev/null
+++ b/tests/validation/multigrid/cpuref_0_3_evidence/README.txt
@@ -0,0 +1,64 @@
+CPUREF-0.3 local integration and review — 2026-10-13
+
+Result: PASS. First local execution only; no retry or tolerance change.
+15 core tests + 5 supplemental tests passed, plus 1 open-corner negative-control
+method (identity/SRT, seeds 1/2, 1/8 coarse steps). The supplemental suite includes
+the v0.2-to-v0.3 diagnostic-field delta check; this is not physical-field equality.
+
+Scope: fixed doubly periodic 16x16 coarse grid, one static 2:1 patch covering
+[4,12)^2, 16x16 active fine cells with halo 4. Evidence concerns transport,
+corner handling, validity, ownership, conservation and bookkeeping only.
+It does not validate interface accuracy, viscosity/stress transfer, long-time
+stability, production GPU equivalence, dynamic AMR or Jet integration.
+
+Static review completed before execution; no substantive objection within this
+scope. Checked arrival_f phase, even integer tick and +2 advancement, collision
+order, both fine hops, ghost validity/poisoning, eight uniquely keyed corner-pass
+links, coalescence ownership and budget semantics. bookkeeping_check subtracts
+interface_residual and is not independent conservation evidence. Core tests
+provide a separate scalar transport/SRT oracle and active-leaf totals. Negative
+control sums leaves outside the reference helpers, but uses reference masks and
+collision budgets; do not describe every aspect as independent.
+
+Delivery: five Python files were moved from review staging into the parent
+multigrid directory without changing bytes. cpu_reference_v0.2.py is retained
+only as the supplemental diagnostic comparison fixture, loaded explicitly.
+Seven delivered artifact SHA256 values match the supplied originals both before
+and after execution. No reference algorithm, test assertion or tolerance edits.
+Grok's original README and stdout remain unchanged alongside the local evidence.
+
+Local environment: /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python
+Python 3.10.13; NumPy 1.26.4; Linux 6.8.0-138-generic x86_64, glibc 2.35.
+Grok reported Python 3.13.5 / NumPy 2.5.3; both original and local outputs are kept.
+Process-only environment:
+  OPENBLAS_NUM_THREADS=1
+  PYTHONDONTWRITEBYTECODE=1
+  PYTHONNOUSERSITE=1
+  PYTHONPATH=/home/frank14f/CelerisLab/tests/validation/multigrid
+  CPU_REFERENCE_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py
+Working directory: /home/frank14f/CelerisLab/tests/validation/multigrid
+Each script was executed sequentially by the following command, replacing SCRIPT
+with test_cpu_reference.py, test_tron_additions.py, then
+test_open_corner_negative_control.py (absolute paths in results_horsea.json):
+  /usr/bin/prlimit --as=268435456 --fsize=2097152 --core=0 -- /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -B SCRIPT
+The stdlib-only parent runner had the same hard limits. stdout and stderr of all
+three scripts went to one shared stdout_horsea.txt; any nonzero exit would have
+stopped subsequent execution. Per-case step ceiling of 8 was verified statically;
+no grid, seed or step expansion. Peak child RSS across the run: 37.5 MiB.
+Combined local stdout/stderr plus command metadata: 9013 bytes (<2 MiB).
+
+Observed evidence: identity versus scalar oracle max difference 0; SRT max
+2.776e-16. Eight-step SRT mass drift -1.535e-12 passes the unchanged delivered
+mass-scaled 1e-14 tolerance (approximately 2.56e-12 absolute). Open-corner SRT
+maximum drift reaches 2.078e-3; closed negative-control drift stays <=5.684e-14.
+The eight-step mass tolerance is not an absolute 1e-14 bound.
+
+Increment: only new files under tests/validation/multigrid. No src, old test,
+MULTIGRID_VERIFICATION_STRATEGY.md, DynamisLab, dependency, environment or Git
+commit/push changes. No CelerisLab/Simulation/pycuda imports or GPU/solver runs.
+The original 269-file hash baseline and Git status are in baseline.json; final
+verification and new-file sizes/line counts/SHA256 are in manifest.json. Ordinary
+git diff omits these untracked additions; the manifest describes this increment.
+No generated bytecode or duplicate candidate copies were retained.
+
+Stopped after this authorized test-only integration for joint review.
diff --git a/tests/validation/multigrid/cpuref_0_3_evidence/README_grok.md b/tests/validation/multigrid/cpuref_0_3_evidence/README_grok.md
new file mode 100644
index 0000000..2d36e05
--- /dev/null
+++ b/tests/validation/multigrid/cpuref_0_3_evidence/README_grok.md
@@ -0,0 +1,18 @@
+# Grok independent tests for CPUREF-0.3 (2026-10-13)
+
+Runner: Grok's isolated sandbox (not aws-la, not Horsea). Python 3.13.5, NumPy 2.5.3, Linux x86_64. No installs, no Horsea/remote writes.
+Command: `OPENBLAS_NUM_THREADS=1 prlimit --as=268435456 python test_cpu_reference.py` then `test_tron_additions.py` and `test_open_corner_negative_control.py` (reference copied unchanged to `cpu_reference.py`; `CPU_REFERENCE_PATH` accepted).
+Budget: <=8 coarse steps per case, address space capped at 256 MiB, peak RSS ~43 MiB, stdout <2 MiB.
+
+SHA256
+- cpu_reference_v0.3.py (Drive 1G_a5i4ywwAgz20Binl9jI_d_SyXvfCJK): bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+- test_cpu_reference.py: ade5d4827f971aed7174b59d83769e7aa542338e625a9fc8db1e8b1805cb74ca
+- test_tron_additions.py: 8e7a6a90b85e64c7326719e7b8bca2f6d34fb4c80690f0685f7e291ab93bd2a4
+- test_open_corner_negative_control.py: 59a6f8ca80cdd63cb7827fbebf9b4b555c3793f19dd6bca801544ec10b5cbe1b
+- stdout_final.txt (20 unittest OK): 73e4ef01138842981daaa534390f1463839e63833c11f4e8872f94f8eaadc717
+- stdout_open_corner.txt: 927f8233957fe08f671cf3716e810431c40331caa4cf406da2b09793337c7ee8
+- contract still ee8010e763d38937b95c34dadaf97415cdb8b6c23e3c79a9f1f32bd5d4e112f6
+
+Result: 20/20 pass (15 core adapted from v0.2 suite + 5 additions: NaN masks, 8 unique corner keys/packets, coalesce_paths reconstructed test-side, hop2_valid, v0.2↔v0.3 field delta) plus open-corner negative control OK. Reference unchanged.
+
+Adaptations vs v0.2 tests: drop explosion_count; fine_valid_after→hop2_valid; closure_error→bookkeeping_check; corner_packets keyed lower_left_q8 etc. (8 unique); coalesce_paths rebuilt in tests; invalid tick (odd/float/bool/str) rejected; even tick advances by 2.
diff --git a/tests/validation/multigrid/cpuref_0_3_evidence/baseline.json b/tests/validation/multigrid/cpuref_0_3_evidence/baseline.json
new file mode 100644
index 0000000..1884910
--- /dev/null
+++ b/tests/validation/multigrid/cpuref_0_3_evidence/baseline.json
@@ -0,0 +1,278 @@
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+        "--core=0",
+        "--",
+        "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+        "-B",
+        "/home/frank14f/CelerisLab/tests/validation/multigrid/test_open_corner_negative_control.py"
+      ],
+      "returncode": 0,
+      "elapsed_seconds": 0.8977452759863809,
+      "cumulative_child_peak_rss_MiB": 37.5
+    }
+  ],
+  "stdout_bytes": 9013,
+  "completed_utc": "2026-10-13T03:43:02.276695+00:00"
+}
diff --git a/tests/validation/multigrid/cpuref_0_3_evidence/stdout_grok.txt b/tests/validation/multigrid/cpuref_0_3_evidence/stdout_grok.txt
new file mode 100644
index 0000000..5a0c270
--- /dev/null
+++ b/tests/validation/multigrid/cpuref_0_3_evidence/stdout_grok.txt
@@ -0,0 +1,84 @@
+=== CPUREF-0.3 Grok independent suite (15 core + 5 adapted additions) ===
+test_corner_pass_links_identity_marker (test_cpu_reference.TestFourCorners.test_corner_pass_links_identity_marker)
+Identity: a marker in the source's post-collision slot q must arrive exactly at K. ... ok
+test_four_corner_symmetry_srt (test_cpu_reference.TestFourCorners.test_four_corner_symmetry_srt)
+Mirror the lower-left SRT corner case to the other three corners; values must match. ... ok
+test_leaf_mass_momentum_8_steps (test_cpu_reference.TestIdentityTransportConservation.test_leaf_mass_momentum_8_steps) ... ok
+test_matches_independent_implementation (test_cpu_reference.TestIdentityTransportConservation.test_matches_independent_implementation) ... ok
+test_coalescence_slots_reads_owner (test_cpu_reference.TestOwnershipPoison.test_coalescence_slots_reads_owner) ... ok
+test_collision_and_explosion_counts (test_cpu_reference.TestOwnershipPoison.test_collision_and_explosion_counts) ... ok
+test_hop_sources_never_outer (test_cpu_reference.TestOwnershipPoison.test_hop_sources_never_outer) ... ok
+test_inputs_not_mutated_and_maps_readonly (test_cpu_reference.TestOwnershipPoison.test_inputs_not_mutated_and_maps_readonly) ... ok
+test_invalid_input_entries_ignored_and_poisoned (test_cpu_reference.TestOwnershipPoison.test_invalid_input_entries_ignored_and_poisoned) ... ok
+test_make_spec_api (test_cpu_reference.TestOwnershipPoison.test_make_spec_api) ... ok
+test_nonfinite_active_input_rejected (test_cpu_reference.TestOwnershipPoison.test_nonfinite_active_input_rejected) ... ok
+test_leaf_conservation_and_collision_moments_8_steps (test_cpu_reference.TestSRT.test_leaf_conservation_and_collision_moments_8_steps) ... ok
+test_matches_independent_implementation (test_cpu_reference.TestSRT.test_matches_independent_implementation) ... ok
+test_identity_changes_expected_packet (test_cpu_reference.TestSRTCornerOracle.test_identity_changes_expected_packet) ... ok
+test_srt_oracle (test_cpu_reference.TestSRTCornerOracle.test_srt_oracle) ... ok
+test_eight_unique_keys_and_child_packets (test_tron_additions.TestCornerIndividualPackets.test_eight_unique_keys_and_child_packets) ... ok
+test_coalesce_paths_reconstructed_test_side (test_tron_additions.TestRetainedDiagnostics.test_coalesce_paths_reconstructed_test_side) ... ok
+test_hop2_mask_semantics (test_tron_additions.TestRetainedDiagnostics.test_hop2_mask_semantics) ... ok
+test_srt_coarse_and_fine_nan_masks_equal (test_tron_additions.TestSRTNanMask.test_srt_coarse_and_fine_nan_masks_equal) ... ok
+test_diagnostic_field_delta (test_tron_additions.TestV02V03FieldDelta.test_diagnostic_field_delta)
+Compare top-level diagnostic keys and budget keys between v0.2 and v0.3. ... ok
+
+----------------------------------------------------------------------
+Ran 20 tests in 0.480s
+
+OK
+reference: /workspace/amr_tests_v03/cpu_reference_v0.3.py API CPUREF-0.3
+sha256 bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e cpu_reference_v0.3.py
+sha256 ade5d4827f971aed7174b59d83769e7aa542338e625a9fc8db1e8b1805cb74ca test_cpu_reference.py
+sha256 8e7a6a90b85e64c7326719e7b8bca2f6d34fb4c80690f0685f7e291ab93bd2a4 test_tron_additions.py
+python 3.13.5 numpy 2.5.3 Linux-6.12.94+-x86_64-with-glibc2.41
+
+reference corner_links lists 8 uniquely keyed corner-pass links
+
+corner SRT symmetry values: {'LL': np.float64(0.02798201349283891), 'LR': np.float64(0.027982013492838912), 'UL': np.float64(0.02798201349283891), 'UR': np.float64(0.02798201349283891)}
+
+[identity] leaf0=[255.98790565531962, 7.683069168222897, -5.122316610476732] leaf8=[255.98790565532028, 7.683069168222904, -5.122316610476715] drift=[6.536993168992922e-13, 7.105427357601002e-15, 1.687538997430238e-14]
+
+[identity] max |ref - independent| over 3 steps = 0.000e+00
+
+slots=100 (corner-pass 8), unique reads=400, max read multiplicity=1
+
+counts: coarse cells collided once=192, fine twice=256, ghost explosion writes=320; tick validation OK
+
+[srt] leaf0=[256.01002619890596, 7.680601714336587, -5.120130711410963] leaf8=[256.0100261989044, 7.680601714336586, -5.120130711410962] drift=[-1.5347723092418164e-12, -8.881784197001252e-16, 8.881784197001252e-16]
+
+[srt] max |ref - independent| over 3 steps = 2.776e-16
+
+[identity corner] expected=0.026777777777777775 got=np.float64(0.026777777777777775); srt-expected differs by 1.204e-03
+
+[srt corner] expected=0.02798201349283891 got=np.float64(0.02798201349283891) diff=0.000e+00 (uncoalesced g8=0.028027777777777776)
+
+[8 corner keys] ['lower_left_q7', 'lower_left_q8', 'lower_right_q5', 'lower_right_q6', 'upper_left_q5', 'upper_left_q6', 'upper_right_q7', 'upper_right_q8']; packets 3xg8+1xmid8, weights 0.25, avg=0.02798201349283891
+
+[coalesce_paths test-side] 100 rows x 4; hist={('corner_pass', 'A', 'I'): 8, ('corner_pass', 'I', 'I'): 24, ('face_or_diag_from_patch', 'A', 'A'): 180, ('face_or_diag_from_patch', 'I', 'A'): 188}
+
+[hop2_valid] matches independent derivation; valid inner=1060; reads hop2-valid=400
+
+[srt masks] coarse+fine NaN masks equal over 3 steps; max diff 2.776e-16
+
+[v0.2→v0.3 fields] removed=['coalesce_paths', 'explosion_count', 'fine_valid_after'] added=['hop2_valid']; budget rename closure_error→bookkeeping_check; corner_packets 4→8
+peak_rss_MiB 42.6171875
+RESULT OK testsRun 20
+
+=== open-corner negative control ===
+test_open_vs_closed (__main__.OpenCornerNegativeControl.test_open_vs_closed) ... ok
+
+----------------------------------------------------------------------
+Ran 1 test in 0.215s
+
+OK
+[identity] coalesce rows closed=100 open=92 dropped=8
+[identity] seed=1 steps=1 closed: max|leaf drift|=5.551e-17 max|interface_residual|=2.109e-15 | OPEN: max|leaf drift| (mass,mx,my)=(0.000e+00,5.551e-17,2.776e-17) max|interface_residual|=1.776e-15
+[identity] seed=1 steps=8 closed: max|leaf drift|=2.776e-16 max|interface_residual|=2.276e-15 | OPEN: max|leaf drift| (mass,mx,my)=(0.000e+00,2.220e-16,2.776e-16) max|interface_residual|=2.665e-15
+[identity] seed=2 steps=1 closed: max|leaf drift|=3.331e-16 max|interface_residual|=1.971e-15 | OPEN: max|leaf drift| (mass,mx,my)=(0.000e+00,1.665e-16,3.331e-16) max|interface_residual|=2.665e-15
+[identity] seed=2 steps=8 closed: max|leaf drift|=5.684e-14 max|interface_residual|=2.998e-15 | OPEN: max|leaf drift| (mass,mx,my)=(5.684e-14,2.220e-16,3.331e-16) max|interface_residual|=2.665e-15
+[srt] coalesce rows closed=100 open=92 dropped=8
+[srt] seed=1 steps=1 closed: max|leaf drift|=2.269e-14 max|interface_residual|=2.831e-15 | OPEN: max|leaf drift| (mass,mx,my)=(2.078e-03,8.560e-04,2.620e-04) max|interface_residual|=2.078e-03
+[srt] seed=1 steps=8 closed: max|leaf drift|=4.040e-14 max|interface_residual|=4.774e-15 | OPEN: max|leaf drift| (mass,mx,my)=(2.078e-03,8.560e-04,2.620e-04) max|interface_residual|=2.078e-03
+[srt] seed=2 steps=1 closed: max|leaf drift|=4.078e-14 max|interface_residual|=2.331e-15 | OPEN: max|leaf drift| (mass,mx,my)=(5.660e-04,2.359e-04,6.755e-04) max|interface_residual|=6.755e-04
+[srt] seed=2 steps=8 closed: max|leaf drift|=4.078e-14 max|interface_residual|=2.554e-15 | OPEN: max|leaf drift| (mass,mx,my)=(6.526e-04,5.767e-04,1.401e-03) max|interface_residual|=1.401e-03
diff --git a/tests/validation/multigrid/cpuref_0_3_evidence/stdout_horsea.txt b/tests/validation/multigrid/cpuref_0_3_evidence/stdout_horsea.txt
new file mode 100644
index 0000000..adff8bb
--- /dev/null
+++ b/tests/validation/multigrid/cpuref_0_3_evidence/stdout_horsea.txt
@@ -0,0 +1,130 @@
+{
+  "started_utc": "2026-10-13T03:42:59.253863+00:00",
+  "cwd": "/home/frank14f/CelerisLab/tests/validation/multigrid",
+  "python_executable": "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+  "environment": {
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONPATH": "/home/frank14f/CelerisLab/tests/validation/multigrid",
+    "CPU_REFERENCE_PATH": "/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py"
+  },
+  "limits": {
+    "address_space_bytes": [
+      268435456,
+      268435456
+    ],
+    "output_file_bytes": [
+      2097152,
+      2097152
+    ],
+    "core_bytes": [
+      0,
+      0
+    ],
+    "max_coarse_steps_per_case": 8
+  },
+  "runs": []
+}
+
+COMMAND /usr/bin/prlimit --as=268435456 --fsize=2097152 --core=0 -- /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -B /home/frank14f/CelerisLab/tests/validation/multigrid/test_cpu_reference.py
+test_corner_pass_links_identity_marker (__main__.TestFourCorners)
+Identity: a marker in the source's post-collision slot q must arrive exactly at K. ... ok
+test_four_corner_symmetry_srt (__main__.TestFourCorners)
+Mirror the lower-left SRT corner case to the other three corners; values must match. ... ok
+test_leaf_mass_momentum_8_steps (__main__.TestIdentityTransportConservation) ... ok
+test_matches_independent_implementation (__main__.TestIdentityTransportConservation) ... ok
+test_coalescence_slots_reads_owner (__main__.TestOwnershipPoison) ... ok
+test_collision_and_explosion_counts (__main__.TestOwnershipPoison) ... ok
+test_hop_sources_never_outer (__main__.TestOwnershipPoison) ... ok
+test_inputs_not_mutated_and_maps_readonly (__main__.TestOwnershipPoison) ... ok
+test_invalid_input_entries_ignored_and_poisoned (__main__.TestOwnershipPoison) ... ok
+test_make_spec_api (__main__.TestOwnershipPoison) ... ok
+test_nonfinite_active_input_rejected (__main__.TestOwnershipPoison) ... ok
+test_leaf_conservation_and_collision_moments_8_steps (__main__.TestSRT) ... ok
+test_matches_independent_implementation (__main__.TestSRT) ... ok
+test_identity_changes_expected_packet (__main__.TestSRTCornerOracle) ... ok
+test_srt_oracle (__main__.TestSRTCornerOracle) ... ok
+
+----------------------------------------------------------------------
+Ran 15 tests in 1.230s
+
+OK
+reference: /home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py API CPUREF-0.3
+sha256 bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e cpu_reference.py
+sha256 ade5d4827f971aed7174b59d83769e7aa542338e625a9fc8db1e8b1805cb74ca test_cpu_reference.py
+python 3.10.13 numpy 1.26.4 Linux-6.8.0-138-generic-x86_64-with-glibc2.35
+
+reference corner_links lists 8 uniquely keyed corner-pass links
+
+corner SRT symmetry values: {'LL': 0.02798201349283891, 'LR': 0.027982013492838912, 'UL': 0.02798201349283891, 'UR': 0.02798201349283891}
+
+[identity] leaf0=[255.98790565531962, 7.683069168222897, -5.122316610476732] leaf8=[255.98790565532028, 7.683069168222904, -5.122316610476715] drift=[6.536993168992922e-13, 7.105427357601002e-15, 1.687538997430238e-14]
+
+[identity] max |ref - independent| over 3 steps = 0.000e+00
+
+slots=100 (corner-pass 8), unique reads=400, max read multiplicity=1
+
+counts: coarse cells collided once=192, fine twice=256, ghost explosion writes=320; tick validation OK
+
+[srt] leaf0=[256.01002619890596, 7.680601714336587, -5.120130711410963] leaf8=[256.0100261989044, 7.680601714336586, -5.120130711410962] drift=[-1.5347723092418164e-12, -8.881784197001252e-16, 8.881784197001252e-16]
+
+[srt] max |ref - independent| over 3 steps = 2.776e-16
+
+[identity corner] expected=0.026777777777777775 got=0.026777777777777775; srt-expected differs by 1.204e-03
+
+[srt corner] expected=0.027982013492838916 got=0.02798201349283891 diff=-6.939e-18 (uncoalesced g8=0.028027777777777783)
+peak_rss_MiB 37.5
+
+RUN_RESULT {"test_script": "test_cpu_reference.py", "command": ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/test_cpu_reference.py"], "returncode": 0, "elapsed_seconds": 1.4467838869895786, "cumulative_child_peak_rss_MiB": 37.5}
+
+COMMAND /usr/bin/prlimit --as=268435456 --fsize=2097152 --core=0 -- /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -B /home/frank14f/CelerisLab/tests/validation/multigrid/test_tron_additions.py
+test_eight_unique_keys_and_child_packets (__main__.TestCornerIndividualPackets) ... ok
+test_coalesce_paths_reconstructed_test_side (__main__.TestRetainedDiagnostics) ... ok
+test_hop2_mask_semantics (__main__.TestRetainedDiagnostics) ... ok
+test_srt_coarse_and_fine_nan_masks_equal (__main__.TestSRTNanMask) ... ok
+test_diagnostic_field_delta (__main__.TestV02V03FieldDelta)
+Compare top-level diagnostic keys and budget keys between v0.2 and v0.3. ... ok
+
+----------------------------------------------------------------------
+Ran 5 tests in 0.464s
+
+OK
+reference: /home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py API CPUREF-0.3
+sha256 bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e cpu_reference.py
+sha256 ade5d4827f971aed7174b59d83769e7aa542338e625a9fc8db1e8b1805cb74ca test_cpu_reference.py
+sha256 8e7a6a90b85e64c7326719e7b8bca2f6d34fb4c80690f0685f7e291ab93bd2a4 test_tron_additions.py
+python 3.10.13 numpy 1.26.4 Linux-6.8.0-138-generic-x86_64-with-glibc2.35
+
+[8 corner keys] ['lower_left_q7', 'lower_left_q8', 'lower_right_q5', 'lower_right_q6', 'upper_left_q5', 'upper_left_q6', 'upper_right_q7', 'upper_right_q8']; packets 3xg8+1xmid8, weights 0.25, avg=0.027982013492838916
+
+[coalesce_paths test-side] 100 rows x 4; hist={('corner_pass', 'A', 'I'): 8, ('corner_pass', 'I', 'I'): 24, ('face_or_diag_from_patch', 'A', 'A'): 180, ('face_or_diag_from_patch', 'I', 'A'): 188}
+
+[hop2_valid] matches independent derivation; valid inner=1060; reads hop2-valid=400
+
+[srt masks] coarse+fine NaN masks equal over 3 steps; max diff 2.776e-16
+
+[v0.2→v0.3 fields] removed=['coalesce_paths', 'explosion_count', 'fine_valid_after'] added=['hop2_valid']; budget rename closure_error→bookkeeping_check; corner_packets 4→8
+peak_rss_MiB 37.4609375
+
+RUN_RESULT {"test_script": "test_tron_additions.py", "command": ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/test_tron_additions.py"], "returncode": 0, "elapsed_seconds": 0.677576785965357, "cumulative_child_peak_rss_MiB": 37.5}
+
+COMMAND /usr/bin/prlimit --as=268435456 --fsize=2097152 --core=0 -- /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -B /home/frank14f/CelerisLab/tests/validation/multigrid/test_open_corner_negative_control.py
+test_open_vs_closed (__main__.OpenCornerNegativeControl) ... ok
+
+----------------------------------------------------------------------
+Ran 1 test in 0.703s
+
+OK
+[identity] coalesce rows closed=100 open=92 dropped=8
+[identity] seed=1 steps=1 closed: max|leaf drift|=5.551e-17 max|interface_residual|=2.109e-15 | OPEN: max|leaf drift| (mass,mx,my)=(0.000e+00,5.551e-17,2.776e-17) max|interface_residual|=1.776e-15
+[identity] seed=1 steps=8 closed: max|leaf drift|=2.776e-16 max|interface_residual|=2.276e-15 | OPEN: max|leaf drift| (mass,mx,my)=(0.000e+00,2.220e-16,2.776e-16) max|interface_residual|=2.665e-15
+[identity] seed=2 steps=1 closed: max|leaf drift|=3.331e-16 max|interface_residual|=1.971e-15 | OPEN: max|leaf drift| (mass,mx,my)=(0.000e+00,1.665e-16,3.331e-16) max|interface_residual|=2.665e-15
+[identity] seed=2 steps=8 closed: max|leaf drift|=5.684e-14 max|interface_residual|=2.998e-15 | OPEN: max|leaf drift| (mass,mx,my)=(5.684e-14,2.220e-16,3.331e-16) max|interface_residual|=2.665e-15
+[srt] coalesce rows closed=100 open=92 dropped=8
+[srt] seed=1 steps=1 closed: max|leaf drift|=2.269e-14 max|interface_residual|=2.831e-15 | OPEN: max|leaf drift| (mass,mx,my)=(2.078e-03,8.560e-04,2.620e-04) max|interface_residual|=2.078e-03
+[srt] seed=1 steps=8 closed: max|leaf drift|=4.040e-14 max|interface_residual|=4.774e-15 | OPEN: max|leaf drift| (mass,mx,my)=(2.078e-03,8.560e-04,2.620e-04) max|interface_residual|=2.078e-03
+[srt] seed=2 steps=1 closed: max|leaf drift|=4.078e-14 max|interface_residual|=2.331e-15 | OPEN: max|leaf drift| (mass,mx,my)=(5.660e-04,2.359e-04,6.755e-04) max|interface_residual|=6.755e-04
+[srt] seed=2 steps=8 closed: max|leaf drift|=4.078e-14 max|interface_residual|=2.554e-15 | OPEN: max|leaf drift| (mass,mx,my)=(6.526e-04,5.767e-04,1.401e-03) max|interface_residual|=1.401e-03
+
+RUN_RESULT {"test_script": "test_open_corner_negative_control.py", "command": ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/test_open_corner_negative_control.py"], "returncode": 0, "elapsed_seconds": 0.8977452759863809, "cumulative_child_peak_rss_MiB": 37.5}
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/README.txt b/tests/validation/multigrid/local_stress_v1_evidence/README.txt
new file mode 100644
index 0000000..3513fd2
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/README.txt
@@ -0,0 +1,124 @@
+Local-stress observable v1 — Horsea review and single-run handoff
+2026-10-13, Asia/Shanghai. Observation-only; reference unchanged.
+
+Actual result
+Exactly one execution of the delivered script: 7 runs x 32 coarse steps, exit 0.
+Original 22 Boolean hard checks plus 7 stress-finite checks: all 29 pass.
+Both ALL_HARD_CHECKS_PASS_V02 and ALL_HARD_CHECKS_PASS_WITH_STRESS are True.
+No retries, added cases, modified formulas, relaxed tolerances or new R thresholds.
+
+Review status (separate from numerical results)
+Grok authored the implementation and ran it in an independent environment.
+The coordinating root reported an independent static review with no substantive
+issue. Claude's implementation-code review is paused due to an API error and
+has NOT completed. Claude's earlier specification discussion and the table's
+"implicit-definition checks" do not constitute a completed code review.
+Horsea read all 902 script lines, original stdout, table and manifest, reviewed
+the related reference paths and local reference sources below, and found no
+substantive numerical objection blocking this bounded diagnostic rerun.
+
+Scope and static review
+Applied .github/skills/lbm-ref-architecture-guard/SKILL.md and its reference/
+architecture checklists. No applicable ancestor AGENTS.md was found.
+The incoming script is standalone NumPy+stdlib, with no runtime dependency on
+the previous shear script. Its original bytes are preserved. Architecture:
+main -> run_uniform(B/C) / run_composite(A/A_T) -> arrival populations ->
+sigma_xy_cell -> level-specific sigma restriction -> Fourier R and profiles.
+The composite advance uses the existing CPUREF-0.3 API without wrapping or
+changing its algorithm. The external recorder pins the reference before import;
+the diagnostic's printed REF_SHA_MATCH alone would not enforce that pin.
+
+Reference findings (read-only, no imported reference packages)
+1. ref/lbmpy/src/lbmpy/macroscopic_value_kernels.py, strain_rate_tensor_getter:
+   the second moment is formed from f minus equilibrium; S=-3*omega*Pi/(2*rho).
+2. ref/OpenLB/src/functors/lattice/latticePhysStrainRate2D.hh independently uses
+   the negative nonequilibrium-moment sign and omega/(2*rho*cs^2*dt) conversion.
+3. ref/lbmpy/src/lbmpy/relaxationrates.py gives nu=(tau-.5)/3. Combining
+   sigma=2*rho*nu*S yields -(1-1/(2*tau))*Pi_neq in lattice units.
+4. ref/OpenLB/src/core/unitConverter.h converts viscosity by dx^2/dt and
+   pressure/stress by density*(dx/dt)^2. Here dx/dt=1 on both levels and density
+   units match, so no additional scale factor belongs in this observation.
+5. Existing cpu_reference.py: paired D2Q9 ordering, physical patch offset,
+   acoustic tau scaling, arrival_f input/output, tick increment 2, and owned
+   leaf-cell masks. The pinned full reference was reviewed in the prior round;
+   this review reread its maps, collision/explosion, leaf totals and advance path.
+
+Verified definitions
+Initialization remains equilibrium of the exact cell-average sine velocity,
+not exact cell averages of nonlinear f_eq. Fine coordinates include patch offset.
+All final observations use coarse step 32: composite arrival_f tick=64,
+uniform B after 64 collide-stream substeps and C after 32. No extra collision.
+Pi_xy^neq=sum(cx*cy*f)-rho*ux*uy is evaluated per owned cell. Each level applies
+its own tau to obtain sigma BEFORE 2x2 volume averaging. Covered coarse values
+and fine ghosts are excluded. Velocity restriction averages rho/j before u=j/rho.
+R uses a_u=(2/256)*sum(u*sin) from the same run and final arrival state, not an
+analytic decay amplitude. This raw Fourier coefficient includes the cell-average
+sinc factor; the old decay fit amplitude uses its sinc-normalized template.
+The cosine stress projection and velocity projection use a common 16x16 grid.
+Signed horizontal profiles average columns 4:12 and retain all 16 rows; rows
+3,4,11,12 flank the patch faces. The transposed case reports R only, no profile.
+
+Runtime evidence
+Existing Python 3.10.13 / NumPy 1.26.4, CPU only. run_once.py is a standalone
+stdlib recorder derived from the previous recorder; it does not execute or
+import the prior diagnostic. It checks all four delivered file hashes, the tar
+hash and reference hash before launch, and refuses existing logs/results.
+Parent and child both used /usr/bin/prlimit with soft=hard bounds:
+  --as=268435456 --fsize=2097152 --core=0
+Process-only OPENBLAS_NUM_THREADS=1, PYTHONDONTWRITEBYTECODE=1,
+PYTHONNOUSERSITE=1, PYTHONOPTIMIZE=0; PYTHONPATH is only the current multigrid
+directory. CPU_REFERENCE_PATH explicitly selects its cpu_reference.py.
+results_horsea.json and stdout_horsea.txt retain full argv, environment, cwd,
+preflight SHA values, versions, times, exit status and measured RSS.
+UTC start/end: 2026-10-13 06:01:08.222086 / 06:01:10.671541
+Local start/end: 14:01:08 / 14:01:10 Asia/Shanghai.
+Child elapsed 2.435032 s; peak RSS 38.41796875 MiB; parent peak 18.75 MiB.
+Combined stdout/stderr with recorder metadata: 17091 bytes, below 2 MiB.
+
+Grok and prior-result comparison
+comparison.json parses each of the 29 Boolean checks, the original 22 names,
+both all-pass markers, R values, ratios and every profile value. HARD CHECKS,
+STRESS FINITE CHECKS, SUMMARY_LINES and DECAY FITS blocks all match Grok
+exactly at printed precision. All recorded numeric differences are zero.
+The ten profile rows in SUMMARY_LINES contain 160 scalar entries total.
+Six current lambda values also match the prior local shear output at 8 decimal
+places (the precision emitted by this script). Prior 10-decimal values are
+retained in the comparison for provenance, not claimed freshly measured here.
+Full stdout hashes need not match across machines; paths, runtime and recorder
+metadata differ. Printed equality is not full-precision field equality.
+
+R at coarse step 32 (diagnostic only):
+  phi0:    A=1.011774619306 B=.998555854025 C=1.008383635570
+  phiPi/2: A=1.011850480751 B=.998555854025 C=1.008383635570
+  A_T:     1.011850480751
+
+Interpretation limits (separate from pass/fail checks)
+The retained transpose assertion covers u/rho, not stress. R_A_T agreeing with
+R_A at phiPi/2 is a reported observation, NOT a new stress-transpose hard test.
+Seven finite-stress checks do not establish local stress accuracy, convergence,
+interface stress-transfer correctness or any causal mechanism. One resolution,
+tau pair, patch and short window remain in scope. Composite conservation uses
+the reference leaf-total helper; this is not a new independent conservation
+oracle. Time-held ghosts and unscaled nonequilibrium transfer remain candidate,
+non-exhaustive explanations. No time-interpolated ghosts were implemented.
+
+Frozen state and handoff
+baseline.json froze HEAD, Git status and 292 old-file hashes, including all
+previous CPUREF/shear evidence. Its stated hash scope excludes the read-only
+ref tree, symlinks and bytecode. Final manifest.json verifies the frozen files,
+original inputs and reference, and lists new paths/bytes/SHA256; its own SHA is
+reported in the handoff. Only this evidence directory and the delivered
+local_stress_observable_v1.py were added. No production imports, GPU/solver
+runs, installs, environment/SSH/system changes, DynamisLab access, commit or push.
+Stopped here for joint acceptance; Claude code review remains outstanding.
+
+User authorization evidence, verbatim as relayed by the coordinating thread
+<transcript_evidence>
+assistant（Sentinel_65ef50edab8c819194404548b6b8e469）: 新增的局部剪切应力观测已在 Grok 那边跑通，但同步到 Horsea 又被拦住：审查把上次许可限定为那一份文件。
+
+你是否允许本轮 AMR 协作后续的代码、测试、日志和报告，经现有 SSH 同步到 Horsea，并只在 CelerisLab/tests/validation/multigrid 内审阅和运行小型 CPU 验证？包含这次新观测；每次仍限 256 MiB 内存、2 MiB 输出，不改环境或生产代码。
+user（Sentinel_d0d3a42b2c088191aa8aebc105fb1b27）: 允许，你用GPU验证都行
+</transcript_evidence>
+The coordinating instruction narrows this run to CPU observation-only. Future
+GPU work was not performed or specified here; this is not unrestricted remote
+operation authorization. Input transfer was already complete when received.
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/TABLE_local_stress_observable_v1.md b/tests/validation/multigrid/local_stress_v1_evidence/TABLE_local_stress_observable_v1.md
new file mode 100644
index 0000000..6115dcd
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/TABLE_local_stress_observable_v1.md
@@ -0,0 +1,56 @@
+# Local-stress observable v1 — R / ratio / profile table
+
+Spec: `18_local_stress_observable_spec_v1.md`  
+Reference: CPUREF-0.3 sha256 `bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e` (unchanged)  
+Script: `local_stress_observable_v1.py`  
+Stdout: `stdout_local_stress_observable_v1.txt`  
+Arrival: CPUREF `State.coarse_f` / `State.fine_f` at `phase='arrival_f'` tick=64 after 32 `advance_coarse_once`; uniforms use post-stream `f` after collide→stream.  
+Diagnostic values only — no thresholds or mechanism claim. φ probes phase structure only.
+
+## Hashes
+| file | sha256 |
+|------|--------|
+| local_stress_observable_v1.py | 0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456 |
+| stdout_local_stress_observable_v1.txt | 6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4 |
+| cpu_reference_v0.3.py | bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e |
+
+## Hard checks
+- ALL_HARD_CHECKS_PASS_V02 = True (22 Booleans, unchanged from shear v0.2)
+- ALL_HARD_CHECKS_PASS_WITH_STRESS = True (+7 finite stress-array checks)
+- runtime 0.77 s, CPU only, exit 0
+
+## Scalar R at coarse step 32
+
+| φ | R_A | R_B | R_C | R_A/R_B | R_A/R_C |
+|---|-----|-----|-----|--------|--------|
+| 0 | 1.011774619306 | 0.998555854025 | 1.008383635570 | 1.013237882716 | 1.003362791319 |
+| π/2 | 1.011850480751 | 0.998555854025 | 1.008383635570 | 1.013313853874 | 1.003438022057 |
+
+Transposed A (φ=π/2): R_A_T = 1.011850480751 (R only; no profile). Matches R_A at φ=π/2.
+
+## Signed horizontal-face profile s(j) (x-avg over columns [4,12), / ρ0 ν k a_u)
+
+Face rows flagged: j = 3, 4, 11, 12 (patch faces at y=4 and y=12).
+
+### φ = 0 — face rows
+| j | s_A | s_B | s_C | s_A−s_B | s_A−s_C |
+|---|-----|-----|-----|--------|--------|
+| 3 | 1.826885e-01 | 1.948086e-01 | 1.967259e-01 | -1.212007e-02 | -1.403738e-02 |
+| 4 | -2.146875e-01 | -1.948086e-01 | -1.967259e-01 | -1.987891e-02 | -1.796161e-02 |
+| 11 | -2.146875e-01 | -1.948086e-01 | -1.967259e-01 | -1.987891e-02 | -1.796161e-02 |
+| 12 | 1.826885e-01 | 1.948086e-01 | 1.967259e-01 | -1.212007e-02 | -1.403738e-02 |
+
+### φ = π/2 — face rows
+| j | s_A | s_B | s_C | s_A−s_B | s_A−s_C |
+|---|-----|-----|-----|--------|--------|
+| 3 | -1.003712e+00 | -9.793689e-01 | -9.890078e-01 | -2.434262e-02 | -1.470367e-02 |
+| 4 | -9.868392e-01 | -9.793689e-01 | -9.890078e-01 | -7.470343e-03 | 2.168600e-03 |
+| 11 | 9.868392e-01 | 9.793689e-01 | 9.890078e-01 | 7.470343e-03 | -2.168600e-03 |
+| 12 | 1.003712e+00 | 9.793689e-01 | 9.890078e-01 | 2.434262e-02 | 1.470367e-02 |
+
+Full 16-row profiles are in stdout `SUMMARY_LINES` / `PROFILE_*` blocks.
+
+## Implicit-definition checks (Claude's three)
+1. a_u = each run's own projected amplitude from the same arrival state — **yes** (not U0·e^{−νk²t}).
+2. Profile x-average over patch columns x∈[4,12) for A/B/C — **yes**.
+3. Transposed run reports R only, no profile — **yes**; R_A_T = R_A(φ=π/2).
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/baseline.json b/tests/validation/multigrid/local_stress_v1_evidence/baseline.json
new file mode 100644
index 0000000..ab631ea
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/baseline.json
@@ -0,0 +1,300 @@
+{
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+    "tests/validation/run_perf_baseline.py": "93dde2eb1132f45ea69e1e285ff421dc97a83651a22c79571f299c1909650721",
+    "tests/validation/run_poiseuille.py": "e529288e2ffa8e00d281a9006723954d60a96ae4d025e8f28656c09287d4ff46",
+    "tests/validation/run_sah04_st_matrix.py": "9b9c0ce063e07a316846635ee769b837ed26be6bf039f78f4219c10b516f8006",
+    "tests/validation/test_sensor_accuracy.py": "c6038a9e7a597a1738814bd15e6ecf357cfd271cdc2a132d47943c5280ac0ef9"
+  }
+}
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/comparison.json b/tests/validation/multigrid/local_stress_v1_evidence/comparison.json
new file mode 100644
index 0000000..d7d1b36
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/comparison.json
@@ -0,0 +1,560 @@
+{
+  "comparison_scope": "Printed values only; no new numerical tolerances, no rerun, no claim of full-precision field equality. Current script prints lambda to 8dp, so old 10dp values are retained for provenance, not treated as changed results.",
+  "all_29_booleans_match_and_pass": true,
+  "boolean_checks": {
+    "finite_A_phi0.0000": true,
+    "cons_A_phi0.0000": true,
+    "finite_B_phi0.0000": true,
+    "cons_B_phi0.0000": true,
+    "finite_C_phi0.0000": true,
+    "cons_C_phi0.0000": true,
+    "finite_A_phi1.5708": true,
+    "cons_A_phi1.5708": true,
+    "finite_B_phi1.5708": true,
+    "cons_B_phi1.5708": true,
+    "finite_C_phi1.5708": true,
+    "cons_C_phi1.5708": true,
+    "finite_A_T_phi1.5708": true,
+    "cons_A_T_phi1.5708": true,
+    "transpose_ok": true,
+    "t0_AB_patch_ok_phi0.0000": true,
+    "t0_AC_out_ok_phi0.0000": true,
+    "init_mismatch_ok_phi0.0000": true,
+    "t0_AB_patch_ok_phi1.5708": true,
+    "t0_AC_out_ok_phi1.5708": true,
+    "init_mismatch_ok_phi1.5708": true,
+    "init_mismatch_ok_A_T_phi1.5708": true,
+    "stress_finite_C_phi0.0000": true,
+    "stress_finite_B_phi0.0000": true,
+    "stress_finite_A_phi0.0000": true,
+    "stress_finite_C_phi1.5708": true,
+    "stress_finite_B_phi1.5708": true,
+    "stress_finite_A_phi1.5708": true,
+    "stress_finite_A_T_phi1.5708": true
+  },
+  "original_22_boolean_names_match_previous_shear": true,
+  "sections": {
+    "hard_checks": {
+      "identical_at_printed_precision": true,
+      "line_count": 11,
+      "diff": []
+    },
+    "stress_finite_checks": {
+      "identical_at_printed_precision": true,
+      "line_count": 9,
+      "diff": []
+    },
+    "summary_lines": {
+      "identical_at_printed_precision": true,
+      "line_count": 15,
+      "diff": []
+    },
+    "decay_fits": {
+      "identical_at_printed_precision": true,
+      "line_count": 7,
+      "diff": []
+    }
+  },
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+        "A/B": "1.013237882716",
+        "A/C": "1.003362791319"
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+        "B": "0E-12",
+        "C": "0E-12",
+        "A/B": "0E-12",
+        "A/C": "0E-12"
+      }
+    },
+    {
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+        "8.38223110e-01",
+        "5.53937362e-01",
+        "1.82688509e-01",
+        "-2.14687493e-01",
+        "-5.72526539e-01",
+        "-8.48939033e-01",
+        "-9.98789772e-01",
+        "-9.98789772e-01",
+        "-8.48939033e-01",
+        "-5.72526539e-01",
+        "-2.14687493e-01",
+        "1.82688509e-01",
+        "5.53937362e-01",
+        "8.38223110e-01",
+        "9.91559495e-01"
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+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9"
+      ]
+    },
+    {
+      "name": "PROFILE_B phi0.0000",
+      "horsea_values": [
+        "9.79368883e-01",
+        "8.30268849e-01",
+        "5.54767909e-01",
+        "1.94808583e-01",
+        "-1.94808583e-01",
+        "-5.54767909e-01",
+        "-8.30268849e-01",
+        "-9.79368883e-01",
+        "-9.79368883e-01",
+        "-8.30268849e-01",
+        "-5.54767909e-01",
+        "-1.94808583e-01",
+        "1.94808583e-01",
+        "5.54767909e-01",
+        "8.30268849e-01",
+        "9.79368883e-01"
+      ],
+      "horsea_minus_grok": [
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9"
+      ]
+    },
+    {
+      "name": "PROFILE_C phi0.0000",
+      "horsea_values": [
+        "9.89007827e-01",
+        "8.38440351e-01",
+        "5.60227931e-01",
+        "1.96725888e-01",
+        "-1.96725888e-01",
+        "-5.60227931e-01",
+        "-8.38440351e-01",
+        "-9.89007827e-01",
+        "-9.89007827e-01",
+        "-8.38440351e-01",
+        "-5.60227931e-01",
+        "-1.96725888e-01",
+        "1.96725888e-01",
+        "5.60227931e-01",
+        "8.38440351e-01",
+        "9.89007827e-01"
+      ],
+      "horsea_minus_grok": [
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9"
+      ]
+    },
+    {
+      "name": "PROFILE_A-B phi0.0000",
+      "horsea_values": [
+        "1.21906117e-02",
+        "7.95426140e-03",
+        "-8.30546408e-04",
+        "-1.21200743e-02",
+        "-1.98789102e-02",
+        "-1.77586304e-02",
+        "-1.86701838e-02",
+        "-1.94208889e-02",
+        "-1.94208889e-02",
+        "-1.86701838e-02",
+        "-1.77586304e-02",
+        "-1.98789102e-02",
+        "-1.21200743e-02",
+        "-8.30546408e-04",
+        "7.95426140e-03",
+        "1.21906117e-02"
+      ],
+      "horsea_minus_grok": [
+        "0E-10",
+        "0E-11",
+        "0E-12",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-12",
+        "0E-11",
+        "0E-10"
+      ]
+    },
+    {
+      "name": "PROFILE_A-C phi0.0000",
+      "horsea_values": [
+        "2.55166826e-03",
+        "-2.17240307e-04",
+        "-6.29056929e-03",
+        "-1.40373794e-02",
+        "-1.79616052e-02",
+        "-1.22986075e-02",
+        "-1.04986821e-02",
+        "-9.78194544e-03",
+        "-9.78194544e-03",
+        "-1.04986821e-02",
+        "-1.22986075e-02",
+        "-1.79616052e-02",
+        "-1.40373794e-02",
+        "-6.29056929e-03",
+        "-2.17240307e-04",
+        "2.55166826e-03"
+      ],
+      "horsea_minus_grok": [
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+        "0E-12",
+        "0E-11",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-11",
+        "0E-11",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-11",
+        "0E-12",
+        "0E-11"
+      ]
+    },
+    {
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+        "A/B": "1.013313853874",
+        "A/C": "1.003438022057"
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+        "C": "0E-12",
+        "A/B": "0E-12",
+        "A/C": "0E-12"
+      }
+    },
+    {
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+        "-5.68175817e-01",
+        "-8.52874579e-01",
+        "-1.00371150e+00",
+        "-9.86839227e-01",
+        "-8.33347608e-01",
+        "-5.58176761e-01",
+        "-1.96153580e-01",
+        "1.96153580e-01",
+        "5.58176761e-01",
+        "8.33347608e-01",
+        "9.86839227e-01",
+        "1.00371150e+00",
+        "8.52874579e-01",
+        "5.68175817e-01",
+        "1.99435683e-01"
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+        "0E-8",
+        "0E-9",
+        "0E-9",
+        "0E-9"
+      ]
+    },
+    {
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+      "horsea_values": [
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+        "-5.54767909e-01",
+        "-8.30268849e-01",
+        "-9.79368883e-01",
+        "-9.79368883e-01",
+        "-8.30268849e-01",
+        "-5.54767909e-01",
+        "-1.94808583e-01",
+        "1.94808583e-01",
+        "5.54767909e-01",
+        "8.30268849e-01",
+        "9.79368883e-01",
+        "9.79368883e-01",
+        "8.30268849e-01",
+        "5.54767909e-01",
+        "1.94808583e-01"
+      ],
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+        "0E-9",
+        "0E-9",
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+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9"
+      ]
+    },
+    {
+      "name": "PROFILE_C phi1.5708",
+      "horsea_values": [
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+        "-5.60227931e-01",
+        "-8.38440351e-01",
+        "-9.89007827e-01",
+        "-9.89007827e-01",
+        "-8.38440351e-01",
+        "-5.60227931e-01",
+        "-1.96725888e-01",
+        "1.96725888e-01",
+        "5.60227931e-01",
+        "8.38440351e-01",
+        "9.89007827e-01",
+        "9.89007827e-01",
+        "8.38440351e-01",
+        "5.60227931e-01",
+        "1.96725888e-01"
+      ],
+      "horsea_minus_grok": [
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+        "0E-9",
+        "0E-9",
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+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9",
+        "0E-9"
+      ]
+    },
+    {
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+      "horsea_values": [
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+        "-1.34079086e-02",
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+        "-3.07875936e-03",
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+        "-1.34499672e-03",
+        "1.34499672e-03",
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+        "3.07875936e-03",
+        "7.47034346e-03",
+        "2.43426175e-02",
+        "2.26057300e-02",
+        "1.34079086e-02",
+        "4.62709942e-03"
+      ],
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+        "0E-11",
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+        "0E-11",
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+        "0E-11",
+        "0E-11",
+        "0E-10",
+        "0E-10",
+        "0E-10",
+        "0E-11"
+      ]
+    },
+    {
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+        "-1.44342283e-02",
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+        "0E-11",
+        "0E-10",
+        "0E-10",
+        "0E-11",
+        "0E-11"
+      ]
+    },
+    {
+      "name": "R A_T_phi1.5708",
+      "horsea_values": {
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+      },
+      "horsea_minus_grok": {
+        "R": "0E-12"
+      }
+    },
+    {
+      "grok": "TRANSPOSE err=6.661338e-16 ok=True",
+      "horsea": "TRANSPOSE err=6.661338e-16 ok=True",
+      "identical": true
+    },
+    {
+      "grok": "REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+      "horsea": "REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+      "identical": true
+    }
+  ],
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+      "horsea_current_8dp": "0.01585222",
+      "grok_current_8dp": "0.01585222",
+      "horsea_previous_shear_8dp": "0.01585222",
+      "horsea_previous_shear_10dp": "0.0158522189",
+      "current_minus_previous_at_8dp": "0E-8",
+      "current_minus_grok_at_8dp": "0E-8"
+    },
+    {
+      "run": "B_phi0.0000",
+      "horsea_current_8dp": "0.01539917",
+      "grok_current_8dp": "0.01539917",
+      "horsea_previous_shear_8dp": "0.01539917",
+      "horsea_previous_shear_10dp": "0.0153991657",
+      "current_minus_previous_at_8dp": "0E-8",
+      "current_minus_grok_at_8dp": "0E-8"
+    },
+    {
+      "run": "C_phi0.0000",
+      "horsea_current_8dp": "0.01554973",
+      "grok_current_8dp": "0.01554973",
+      "horsea_previous_shear_8dp": "0.01554973",
+      "horsea_previous_shear_10dp": "0.0155497331",
+      "current_minus_previous_at_8dp": "0E-8",
+      "current_minus_grok_at_8dp": "0E-8"
+    },
+    {
+      "run": "A_phi1.5708",
+      "horsea_current_8dp": "0.01584192",
+      "grok_current_8dp": "0.01584192",
+      "horsea_previous_shear_8dp": "0.01584192",
+      "horsea_previous_shear_10dp": "0.0158419175",
+      "current_minus_previous_at_8dp": "0E-8",
+      "current_minus_grok_at_8dp": "0E-8"
+    },
+    {
+      "run": "B_phi1.5708",
+      "horsea_current_8dp": "0.01539917",
+      "grok_current_8dp": "0.01539917",
+      "horsea_previous_shear_8dp": "0.01539917",
+      "horsea_previous_shear_10dp": "0.0153991657",
+      "current_minus_previous_at_8dp": "0E-8",
+      "current_minus_grok_at_8dp": "0E-8"
+    },
+    {
+      "run": "C_phi1.5708",
+      "horsea_current_8dp": "0.01554973",
+      "grok_current_8dp": "0.01554973",
+      "horsea_previous_shear_8dp": "0.01554973",
+      "horsea_previous_shear_10dp": "0.0155497331",
+      "current_minus_previous_at_8dp": "0E-8",
+      "current_minus_grok_at_8dp": "0E-8"
+    }
+  ],
+  "stress_transpose_hard_assertion_present": false
+}
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/manifest.json b/tests/validation/multigrid/local_stress_v1_evidence/manifest.json
new file mode 100644
index 0000000..c6c44d8
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/manifest.json
@@ -0,0 +1,98 @@
+{
+  "verified_utc": "2026-10-13T06:04:36.332815+00:00",
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "old_files_checked": 292,
+  "old_files_changed": [],
+  "old_git_status_entries_removed": [],
+  "only_authorized_new_paths": true,
+  "archive_path": "/tmp/celerislab-local-stress-input-20261013-0e277799.tar",
+  "archive_sha256": "5834b23711496beb152188df5f47ff8175baf7e52543774401bd2c1183433eed",
+  "reference_sha256": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+  "inputs": [
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/TABLE_local_stress_observable_v1.md",
+      "bytes": 2967,
+      "sha256": "d8ff0568d9c473a4bb09396a8948ddc8dc5af2f0f3a23ac84d238814fc779501",
+      "matches_original_tar_bytes": true
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_observable_v1.py",
+      "bytes": 32574,
+      "sha256": "0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456",
+      "matches_original_tar_bytes": true
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/stdout_local_stress_observable_v1.txt",
+      "bytes": 12238,
+      "sha256": "6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4",
+      "matches_original_tar_bytes": true
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/source_manifest.json",
+      "bytes": 622,
+      "sha256": "d2cf90b73458f493c665c9a281d06aef0c190cf0d143639fb77ab838c78f020c",
+      "matches_original_tar_bytes": true
+    }
+  ],
+  "input_bytes_unchanged": true,
+  "blocking_numerical_objections": [],
+  "execution_attempts": 1,
+  "hard_checks_passed": 29,
+  "grok_blocks_identical_at_printed_precision": true,
+  "previous_lambda_matches_at_8dp": true,
+  "claude_implementation_code_review": "Not completed: paused due to API error. Specification discussion is not code review.",
+  "horsea_review": "Completed before single bounded rerun; no substantive objection within diagnostic scope.",
+  "stress_transpose_hard_assertion": false,
+  "new_files_except_this_manifest": [
+    {
+      "path": "tests/validation/multigrid/local_stress_observable_v1.py",
+      "bytes": 32574,
+      "sha256": "0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/README.txt",
+      "bytes": 8239,
+      "sha256": "4f62314876047ee437bb9ecbf84798d2a9f6e85f6a3aef260277b85bcdb35fae"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/TABLE_local_stress_observable_v1.md",
+      "bytes": 2967,
+      "sha256": "d8ff0568d9c473a4bb09396a8948ddc8dc5af2f0f3a23ac84d238814fc779501"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/baseline.json",
+      "bytes": 43991,
+      "sha256": "64f6541447afbd15b1b15d802ad6f1b5042aaf84e7d4d2414e4ed4c52cf70507"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/comparison.json",
+      "bytes": 13248,
+      "sha256": "be236671a501c31c06f7e266f6e0c0c2a89aede321a483452050ff37bf84c84a"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/results_horsea.json",
+      "bytes": 2671,
+      "sha256": "f17b4644d19eb75d55deb7021ab679cb9e7922a2b46f1cacf8b6da6bfb9a2690"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/run_once.py",
+      "bytes": 4313,
+      "sha256": "e629800291ef65ffea8555f66ec80bf15200552540b2a493a677bfb53d0830b3"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/source_manifest.json",
+      "bytes": 622,
+      "sha256": "d2cf90b73458f493c665c9a281d06aef0c190cf0d143639fb77ab838c78f020c"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/stdout_horsea.txt",
+      "bytes": 17091,
+      "sha256": "882f2cfb1dbdf82cce63c011397e7c2e6307bbcfec42a3510648d328cd6ddcfe"
+    },
+    {
+      "path": "tests/validation/multigrid/local_stress_v1_evidence/stdout_local_stress_observable_v1.txt",
+      "bytes": 12238,
+      "sha256": "6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4"
+    }
+  ]
+}
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/results_horsea.json b/tests/validation/multigrid/local_stress_v1_evidence/results_horsea.json
new file mode 100644
index 0000000..79bdf00
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/results_horsea.json
@@ -0,0 +1,73 @@
+{
+  "started_utc": "2026-10-13T06:01:08.222086+00:00",
+  "cwd": "/home/frank14f/CelerisLab/tests/validation/multigrid",
+  "parent_command": [
+    "env",
+    "OPENBLAS_NUM_THREADS=1",
+    "PYTHONDONTWRITEBYTECODE=1",
+    "PYTHONNOUSERSITE=1",
+    "PYTHONOPTIMIZE=0",
+    "PYTHONPATH=/home/frank14f/CelerisLab/tests/validation/multigrid",
+    "CPU_REFERENCE_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py",
+    "/usr/bin/prlimit",
+    "--as=268435456",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/local_stress_v1_evidence/run_once.py"
+  ],
+  "script_command": [
+    "/usr/bin/prlimit",
+    "--as=268435456",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/local_stress_observable_v1.py"
+  ],
+  "environment": {
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONOPTIMIZE": "0",
+    "PYTHONPATH": "/home/frank14f/CelerisLab/tests/validation/multigrid",
+    "CPU_REFERENCE_PATH": "/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py"
+  },
+  "python_version": "3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]",
+  "numpy_version_from_installed_metadata": "1.26.4",
+  "platform": "Linux-6.8.0-138-generic-x86_64-with-glibc2.35",
+  "hard_limits": {
+    "address_space_bytes": [
+      268435456,
+      268435456
+    ],
+    "output_file_bytes": [
+      2097152,
+      2097152
+    ],
+    "core_bytes": [
+      0,
+      0
+    ]
+  },
+  "input_hashes_verified_before_execution": {
+    "local_stress_observable_v1.py": "0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456",
+    "stdout_local_stress_observable_v1.txt": "6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4",
+    "TABLE_local_stress_observable_v1.md": "d8ff0568d9c473a4bb09396a8948ddc8dc5af2f0f3a23ac84d238814fc779501",
+    "source_manifest.json": "d2cf90b73458f493c665c9a281d06aef0c190cf0d143639fb77ab838c78f020c"
+  },
+  "archive_sha256_verified_before_execution": "5834b23711496beb152188df5f47ff8175baf7e52543774401bd2c1183433eed",
+  "reference_sha256_verified_before_execution": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+  "planned_runs": 7,
+  "coarse_steps_per_run": 32,
+  "attempt": 1,
+  "returncode": 0,
+  "elapsed_seconds": 2.435032418987248,
+  "child_peak_rss_MiB": 38.41796875,
+  "parent_peak_rss_MiB": 18.75,
+  "completed_utc": "2026-10-13T06:01:10.671541+00:00",
+  "stdout_bytes": 17091
+}
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/run_once.py b/tests/validation/multigrid/local_stress_v1_evidence/run_once.py
new file mode 100644
index 0000000..fa9c523
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/run_once.py
@@ -0,0 +1,84 @@
+"""Bounded execution recorder; refuses to overwrite evidence or repeat a run."""
+import datetime
+import hashlib
+import importlib.metadata
+import json
+import os
+from pathlib import Path
+import platform
+import resource
+import shlex
+import subprocess
+import sys
+import time
+
+evidence = Path(__file__).resolve().parent
+base = evidence.parent
+script = base / "local_stress_observable_v1.py"
+reference = base / "cpu_reference.py"
+expected_env = {
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONOPTIMIZE": "0",
+    "PYTHONPATH": str(base),
+    "CPU_REFERENCE_PATH": str(reference),
+}
+limits = {
+    "address_space_bytes": (resource.RLIMIT_AS, 268435456),
+    "output_file_bytes": (resource.RLIMIT_FSIZE, 2097152),
+    "core_bytes": (resource.RLIMIT_CORE, 0),
+}
+assert all(os.environ.get(k) == v for k, v in expected_env.items())
+assert all(resource.getrlimit(key) == (value, value) for key, value in limits.values())
+assert sys.executable == "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python"
+assert hashlib.sha256(script.read_bytes()).hexdigest() == "0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456"
+assert hashlib.sha256(reference.read_bytes()).hexdigest() == "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e"
+input_hashes = {'local_stress_observable_v1.py': '0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456', 'stdout_local_stress_observable_v1.txt': '6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4', 'TABLE_local_stress_observable_v1.md': 'd8ff0568d9c473a4bb09396a8948ddc8dc5af2f0f3a23ac84d238814fc779501', 'source_manifest.json': 'd2cf90b73458f493c665c9a281d06aef0c190cf0d143639fb77ab838c78f020c'}
+for name, digest in input_hashes.items():
+    path = (base if name.endswith(".py") else evidence) / name
+    assert hashlib.sha256(path.read_bytes()).hexdigest() == digest, name
+archive_path = Path("/tmp/celerislab-local-stress-input-20261013-0e277799.tar")
+archive_sha = "5834b23711496beb152188df5f47ff8175baf7e52543774401bd2c1183433eed"
+assert hashlib.sha256(archive_path.read_bytes()).hexdigest() == archive_sha
+log_path = evidence / "stdout_horsea.txt"
+result_path = evidence / "results_horsea.json"
+assert not log_path.exists() and not result_path.exists(), "Existing execution evidence; do not rerun"
+prefix = ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", sys.executable, "-B"]
+command = prefix + [str(script)]
+report = {
+    "started_utc": datetime.datetime.now(datetime.timezone.utc).isoformat(),
+    "cwd": str(base),
+    "parent_command": ["env"] + [f"{k}={v}" for k, v in expected_env.items()] + prefix + [str(Path(__file__).resolve())],
+    "script_command": command,
+    "environment": expected_env,
+    "python_version": sys.version,
+    "numpy_version_from_installed_metadata": importlib.metadata.version("numpy"),
+    "platform": platform.platform(),
+    "hard_limits": {name: resource.getrlimit(key) for name, (key, _) in limits.items()},
+    "input_hashes_verified_before_execution": input_hashes,
+    "archive_sha256_verified_before_execution": archive_sha,
+    "reference_sha256_verified_before_execution": hashlib.sha256(reference.read_bytes()).hexdigest(),
+    "planned_runs": 7,
+    "coarse_steps_per_run": 32,
+    "attempt": 1,
+}
+with log_path.open("xb", buffering=0) as log:
+    log.write(("RECORDER " + json.dumps(report) + "\nCOMMAND " + shlex.join(command) + "\n").encode())
+    start = time.monotonic()
+    child = subprocess.run(command, cwd=base, stdout=log, stderr=subprocess.STDOUT, check=False)
+    report.update(
+        returncode=child.returncode,
+        elapsed_seconds=time.monotonic() - start,
+        child_peak_rss_MiB=resource.getrusage(resource.RUSAGE_CHILDREN).ru_maxrss / 1024,
+        parent_peak_rss_MiB=resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024,
+        completed_utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),
+    )
+    log.write(("\nRUN_RESULT " + json.dumps(report) + "\n").encode())
+report["stdout_bytes"] = log_path.stat().st_size
+with result_path.open("x") as result:
+    json.dump(report, result, indent=2)
+    result.write("\n")
+print(json.dumps(report, indent=2))
+assert report["stdout_bytes"] < 2097152
+sys.exit(child.returncode if child.returncode >= 0 else 1)
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/source_manifest.json b/tests/validation/multigrid/local_stress_v1_evidence/source_manifest.json
new file mode 100644
index 0000000..0516f18
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/source_manifest.json
@@ -0,0 +1,20 @@
+[
+  {
+    "id": "1EBdGY3CxGm_uwCZ_L9vv3q6UgDoH01pM",
+    "name": "local_stress_observable_v1.py",
+    "bytes": 32574,
+    "sha256": "0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456"
+  },
+  {
+    "id": "1TpMS9MfWP3gnouHJ95MQ_lozKMPbgTSH",
+    "name": "stdout_local_stress_observable_v1.txt",
+    "bytes": 12238,
+    "sha256": "6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4"
+  },
+  {
+    "id": "1l1HljRJEcCrJNgSGdWSdQ7OOvEjdRXqi",
+    "name": "TABLE_local_stress_observable_v1.md",
+    "bytes": 2967,
+    "sha256": "d8ff0568d9c473a4bb09396a8948ddc8dc5af2f0f3a23ac84d238814fc779501"
+  }
+]
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/stdout_horsea.txt b/tests/validation/multigrid/local_stress_v1_evidence/stdout_horsea.txt
new file mode 100644
index 0000000..a20c554
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/stdout_horsea.txt
@@ -0,0 +1,122 @@
+RECORDER {"started_utc": "2026-10-13T06:01:08.222086+00:00", "cwd": "/home/frank14f/CelerisLab/tests/validation/multigrid", "parent_command": ["env", "OPENBLAS_NUM_THREADS=1", "PYTHONDONTWRITEBYTECODE=1", "PYTHONNOUSERSITE=1", "PYTHONOPTIMIZE=0", "PYTHONPATH=/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py", "/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/local_stress_v1_evidence/run_once.py"], "script_command": ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/local_stress_observable_v1.py"], "environment": {"OPENBLAS_NUM_THREADS": "1", "PYTHONDONTWRITEBYTECODE": "1", "PYTHONNOUSERSITE": "1", "PYTHONOPTIMIZE": "0", "PYTHONPATH": "/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH": "/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py"}, "python_version": "3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]", "numpy_version_from_installed_metadata": "1.26.4", "platform": "Linux-6.8.0-138-generic-x86_64-with-glibc2.35", "hard_limits": {"address_space_bytes": [268435456, 268435456], "output_file_bytes": [2097152, 2097152], "core_bytes": [0, 0]}, "input_hashes_verified_before_execution": {"local_stress_observable_v1.py": "0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456", "stdout_local_stress_observable_v1.txt": "6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4", "TABLE_local_stress_observable_v1.md": "d8ff0568d9c473a4bb09396a8948ddc8dc5af2f0f3a23ac84d238814fc779501", "source_manifest.json": "d2cf90b73458f493c665c9a281d06aef0c190cf0d143639fb77ab838c78f020c"}, "archive_sha256_verified_before_execution": "5834b23711496beb152188df5f47ff8175baf7e52543774401bd2c1183433eed", "reference_sha256_verified_before_execution": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e", "planned_runs": 7, "coarse_steps_per_run": 32, "attempt": 1}
+COMMAND /usr/bin/prlimit --as=268435456 --fsize=2097152 --core=0 -- /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -B /home/frank14f/CelerisLab/tests/validation/multigrid/local_stress_observable_v1.py
+=== local_stress_observable_v1 against CPUREF-0.3 ===
+REF_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py
+REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+REF_SHA_MATCH=True
+API_VERSION=CPUREF-0.3
+U0=0.001 tau_c=0.8 tau_f=1.1 steps=32 nu=0.1 k=0.39269908169872414
+nu*k^2=0.01542126
+ARRIVAL_STATE_POLICY: read CPUREF-0.3 State.coarse_f/fine_f at phase='arrival_f'
+  after N advance_coarse_once calls (tick=2N). That array IS post-stream pre-collision.
+  Uniform B/C use local collide-then-stream; f after 2N (B) or N (C) streams is arrival.
+  If arrival were unreachable without changing the reference, this script would STOP.
+STRESS: Pi_neq=sum(cx*cy*f)-rho*ux*uy; sigma=-(1-1/(2*tau))*Pi_neq; 2x2 vol-avg of sigma.
+  No extra dx/dt factor. a_u=(2/256)sum u sin; P_sigma=(2/256)sum sigma cos; own a_u.
+  Profile s(j)=mean_x[4,12)(sigma)/ (rho0*nu*k*a_u). Transposed: R only, no profile.
+
+-- running C (uniform-coarse) phi0.0000
+  ARRIVAL_ARRAY: uniform_C_f_after_32_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running B (uniform-fine) phi0.0000
+  ARRIVAL_ARRAY: uniform_B_f_after_64_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running A (composite CPUREF) phi0.0000
+  ARRIVAL_ARRAY: State.coarse_f + State.fine_f at phase='arrival_f' tick=64 (after 32 advance_coarse_once; arrival_f = post-stream pre-collision)
+  state.phase=arrival_f state.tick=64
+-- running C (uniform-coarse) phi1.5708
+  ARRIVAL_ARRAY: uniform_C_f_after_32_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running B (uniform-fine) phi1.5708
+  ARRIVAL_ARRAY: uniform_B_f_after_64_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running A (composite CPUREF) phi1.5708
+  ARRIVAL_ARRAY: State.coarse_f + State.fine_f at phase='arrival_f' tick=64 (after 32 advance_coarse_once; arrival_f = post-stream pre-collision)
+  state.phase=arrival_f state.tick=64
+-- running A transpose phi=1.5707963267948966
+  ARRIVAL_ARRAY: State.coarse_f + State.fine_f at phase='arrival_f' tick=64 (after 32 advance_coarse_once; arrival_f = post-stream pre-collision)
+
+=== HARD CHECKS (unchanged v0.2 set) ===
+  finite[A_phi0.0000]=True cons=True mass_drift=5.969e-13 momx_drift=1.690e-13 momy_drift=2.753e-14 tol_abs=2.560e-10 init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi0.0000]=True cons=True mass_drift=7.105e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 
+  finite[C_phi0.0000]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 
+  finite[A_phi1.5708]=True cons=True mass_drift=8.242e-13 momx_drift=1.033e-13 momy_drift=9.015e-14 tol_abs=2.560e-10 init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi1.5708]=True cons=True mass_drift=6.821e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 
+  finite[C_phi1.5708]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 
+  finite[A_T_phi1.5708]=True cons=True mass_drift=7.105e-13 momx_drift=1.843e-14 momy_drift=6.062e-14 tol_abs=2.560e-10 init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  transpose_ok=True max_err=6.661e-16 (tol=1.000e-15)
+  t0 phi0.0000: AB_patch=1.084e-19 ok=True AC_out=2.168e-19 ok=True init_mm=1.110e-16 ok=True
+  t0 phi1.5708: AB_patch=1.084e-19 ok=True AC_out=2.168e-19 ok=True init_mm=1.110e-16 ok=True
+  init_mismatch[A_T]=1.110e-16 ok=True
+
+=== STRESS FINITE CHECKS (addition) ===
+  stress_finite[C_phi0.0000]=True R=1.00838364 a_u=5.991310e-04 P_sigma=2.372507e-05
+  stress_finite[B_phi0.0000]=True R=0.99855585 a_u=6.078606e-04 P_sigma=2.383616e-05
+  stress_finite[A_phi0.0000]=True R=1.01177462 a_u=5.949025e-04 P_sigma=2.363684e-05
+  stress_finite[C_phi1.5708]=True R=1.00838364 a_u=5.991310e-04 P_sigma=2.372507e-05
+  stress_finite[B_phi1.5708]=True R=0.99855585 a_u=6.078606e-04 P_sigma=2.383616e-05
+  stress_finite[A_phi1.5708]=True R=1.01185048 a_u=5.950623e-04 P_sigma=2.364496e-05
+  stress_finite[A_T_phi1.5708]=True R=1.01185048 a_u=5.950623e-04 P_sigma=2.364496e-05
+  N_BOOLEAN_HARD_CHECKS_V02=22: cons_A_T_phi1.5708,cons_A_phi0.0000,cons_A_phi1.5708,cons_B_phi0.0000,cons_B_phi1.5708,cons_C_phi0.0000,cons_C_phi1.5708,finite_A_T_phi1.5708,finite_A_phi0.0000,finite_A_phi1.5708,finite_B_phi0.0000,finite_B_phi1.5708,finite_C_phi0.0000,finite_C_phi1.5708,init_mismatch_ok_A_T_phi1.5708,init_mismatch_ok_phi0.0000,init_mismatch_ok_phi1.5708,t0_AB_patch_ok_phi0.0000,t0_AB_patch_ok_phi1.5708,t0_AC_out_ok_phi0.0000,t0_AC_out_ok_phi1.5708,transpose_ok
+  N_BOOLEAN_HARD_CHECKS_WITH_STRESS=29
+
+=== LOCAL STRESS OBSERVABLE at coarse step 32 ===
+FORMULA: R = P_sigma / (rho0 * nu * k * a_u); a_u from SAME run/tick/arrival
+WORDING: reported diagnostics only; phi probes phase structure only; no mechanism claim
+
+-- phi0.0000 --
+  R_A=1.0117746193  R_B=0.9985558540  R_C=1.0083836356
+  R_A/R_B=1.0132378827  R_A/R_C=1.0033627913
+  a_u A/B/C: 5.94902468e-04 6.07860566e-04 5.99130994e-04
+  P_sigma A/B/C: 2.36368412e-05 2.38361559e-05 2.37250678e-05
+  s_A(j): 9.915595e-01 8.382231e-01 5.539374e-01 1.826885e-01 -2.146875e-01 -5.725265e-01 -8.489390e-01 -9.987898e-01 -9.987898e-01 -8.489390e-01 -5.725265e-01 -2.146875e-01 1.826885e-01 5.539374e-01 8.382231e-01 9.915595e-01
+  s_B(j): 9.793689e-01 8.302688e-01 5.547679e-01 1.948086e-01 -1.948086e-01 -5.547679e-01 -8.302688e-01 -9.793689e-01 -9.793689e-01 -8.302688e-01 -5.547679e-01 -1.948086e-01 1.948086e-01 5.547679e-01 8.302688e-01 9.793689e-01
+  s_C(j): 9.890078e-01 8.384404e-01 5.602279e-01 1.967259e-01 -1.967259e-01 -5.602279e-01 -8.384404e-01 -9.890078e-01 -9.890078e-01 -8.384404e-01 -5.602279e-01 -1.967259e-01 1.967259e-01 5.602279e-01 8.384404e-01 9.890078e-01
+  s_A-s_B: 1.219061e-02 7.954261e-03 -8.305464e-04 -1.212007e-02 -1.987891e-02 -1.775863e-02 -1.867018e-02 -1.942089e-02 -1.942089e-02 -1.867018e-02 -1.775863e-02 -1.987891e-02 -1.212007e-02 -8.305464e-04 7.954261e-03 1.219061e-02
+  s_A-s_C: 2.551668e-03 -2.172403e-04 -6.290569e-03 -1.403738e-02 -1.796161e-02 -1.229861e-02 -1.049868e-02 -9.781945e-03 -9.781945e-03 -1.049868e-02 -1.229861e-02 -1.796161e-02 -1.403738e-02 -6.290569e-03 -2.172403e-04 2.551668e-03
+  FACE_ROWS j=3,4,11,12 flagged: j3:A=1.82689e-01,B=1.94809e-01,C=1.96726e-01,A-B=-1.21201e-02,A-C=-1.40374e-02 j4:A=-2.14687e-01,B=-1.94809e-01,C=-1.96726e-01,A-B=-1.98789e-02,A-C=-1.79616e-02 j11:A=-2.14687e-01,B=-1.94809e-01,C=-1.96726e-01,A-B=-1.98789e-02,A-C=-1.79616e-02 j12:A=1.82689e-01,B=1.94809e-01,C=1.96726e-01,A-B=-1.21201e-02,A-C=-1.40374e-02
+
+-- phi1.5708 --
+  R_A=1.0118504808  R_B=0.9985558540  R_C=1.0083836356
+  R_A/R_B=1.0133138539  R_A/R_C=1.0034380221
+  a_u A/B/C: 5.95062313e-04 6.07860566e-04 5.99130994e-04
+  P_sigma A/B/C: 2.36449649e-05 2.38361559e-05 2.37250678e-05
+  s_A(j): -1.994357e-01 -5.681758e-01 -8.528746e-01 -1.003712e+00 -9.868392e-01 -8.333476e-01 -5.581768e-01 -1.961536e-01 1.961536e-01 5.581768e-01 8.333476e-01 9.868392e-01 1.003712e+00 8.528746e-01 5.681758e-01 1.994357e-01
+  s_B(j): -1.948086e-01 -5.547679e-01 -8.302688e-01 -9.793689e-01 -9.793689e-01 -8.302688e-01 -5.547679e-01 -1.948086e-01 1.948086e-01 5.547679e-01 8.302688e-01 9.793689e-01 9.793689e-01 8.302688e-01 5.547679e-01 1.948086e-01
+  s_C(j): -1.967259e-01 -5.602279e-01 -8.384404e-01 -9.890078e-01 -9.890078e-01 -8.384404e-01 -5.602279e-01 -1.967259e-01 1.967259e-01 5.602279e-01 8.384404e-01 9.890078e-01 9.890078e-01 8.384404e-01 5.602279e-01 1.967259e-01
+  s_A-s_B: -4.627099e-03 -1.340791e-02 -2.260573e-02 -2.434262e-02 -7.470343e-03 -3.078759e-03 -3.408852e-03 -1.344997e-03 1.344997e-03 3.408852e-03 3.078759e-03 7.470343e-03 2.434262e-02 2.260573e-02 1.340791e-02 4.627099e-03
+  s_A-s_C: -2.709794e-03 -7.947886e-03 -1.443423e-02 -1.470367e-02 2.168600e-03 5.092742e-03 2.051171e-03 5.723084e-04 -5.723084e-04 -2.051171e-03 -5.092742e-03 -2.168600e-03 1.470367e-02 1.443423e-02 7.947886e-03 2.709794e-03
+  FACE_ROWS j=3,4,11,12 flagged: j3:A=-1.00371e+00,B=-9.79369e-01,C=-9.89008e-01,A-B=-2.43426e-02,A-C=-1.47037e-02 j4:A=-9.86839e-01,B=-9.79369e-01,C=-9.89008e-01,A-B=-7.47034e-03,A-C=2.16860e-03 j11:A=9.86839e-01,B=9.79369e-01,C=9.89008e-01,A-B=7.47034e-03,A-C=-2.16860e-03 j12:A=1.00371e+00,B=9.79369e-01,C=9.89008e-01,A-B=2.43426e-02,A-C=1.47037e-02
+
+-- A_T phi=1.5708 (R only, no profile) --
+  R_A_T=1.0118504808  a_u=5.95062313e-04  P_sigma=2.36449649e-05
+  profile=None (transpose)
+
+=== DECAY FITS (informational; same as v0.2) ===
+  analytic lambda = 0.01542126
+  A phi0.0000: lambda=0.01585222 stderr=8.572e-08 R2=1.000000 A0=1.000000e-03 A32=5.987423e-04
+  B phi0.0000: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi0.0000: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+  A phi1.5708: lambda=0.01584192 stderr=2.131e-07 R2=1.000000 A0=1.000000e-03 A32=5.989032e-04
+  B phi1.5708: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi1.5708: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+
+=== NUMERIC SUMMARY ===
+ALL_HARD_CHECKS_PASS_V02=True
+ALL_HARD_CHECKS_PASS_WITH_STRESS=True
+runtime_sec=2.26
+SUMMARY_LINES_BEGIN
+R phi0.0000 A=1.011774619306 B=0.998555854025 C=1.008383635570 A/B=1.013237882716 A/C=1.003362791319
+PROFILE_A phi0.0000 9.91559495e-01 8.38223110e-01 5.53937362e-01 1.82688509e-01 -2.14687493e-01 -5.72526539e-01 -8.48939033e-01 -9.98789772e-01 -9.98789772e-01 -8.48939033e-01 -5.72526539e-01 -2.14687493e-01 1.82688509e-01 5.53937362e-01 8.38223110e-01 9.91559495e-01
+PROFILE_B phi0.0000 9.79368883e-01 8.30268849e-01 5.54767909e-01 1.94808583e-01 -1.94808583e-01 -5.54767909e-01 -8.30268849e-01 -9.79368883e-01 -9.79368883e-01 -8.30268849e-01 -5.54767909e-01 -1.94808583e-01 1.94808583e-01 5.54767909e-01 8.30268849e-01 9.79368883e-01
+PROFILE_C phi0.0000 9.89007827e-01 8.38440351e-01 5.60227931e-01 1.96725888e-01 -1.96725888e-01 -5.60227931e-01 -8.38440351e-01 -9.89007827e-01 -9.89007827e-01 -8.38440351e-01 -5.60227931e-01 -1.96725888e-01 1.96725888e-01 5.60227931e-01 8.38440351e-01 9.89007827e-01
+PROFILE_A-B phi0.0000 1.21906117e-02 7.95426140e-03 -8.30546408e-04 -1.21200743e-02 -1.98789102e-02 -1.77586304e-02 -1.86701838e-02 -1.94208889e-02 -1.94208889e-02 -1.86701838e-02 -1.77586304e-02 -1.98789102e-02 -1.21200743e-02 -8.30546408e-04 7.95426140e-03 1.21906117e-02
+PROFILE_A-C phi0.0000 2.55166826e-03 -2.17240307e-04 -6.29056929e-03 -1.40373794e-02 -1.79616052e-02 -1.22986075e-02 -1.04986821e-02 -9.78194544e-03 -9.78194544e-03 -1.04986821e-02 -1.22986075e-02 -1.79616052e-02 -1.40373794e-02 -6.29056929e-03 -2.17240307e-04 2.55166826e-03
+R phi1.5708 A=1.011850480751 B=0.998555854025 C=1.008383635570 A/B=1.013313853874 A/C=1.003438022057
+PROFILE_A phi1.5708 -1.99435683e-01 -5.68175817e-01 -8.52874579e-01 -1.00371150e+00 -9.86839227e-01 -8.33347608e-01 -5.58176761e-01 -1.96153580e-01 1.96153580e-01 5.58176761e-01 8.33347608e-01 9.86839227e-01 1.00371150e+00 8.52874579e-01 5.68175817e-01 1.99435683e-01
+PROFILE_B phi1.5708 -1.94808583e-01 -5.54767909e-01 -8.30268849e-01 -9.79368883e-01 -9.79368883e-01 -8.30268849e-01 -5.54767909e-01 -1.94808583e-01 1.94808583e-01 5.54767909e-01 8.30268849e-01 9.79368883e-01 9.79368883e-01 8.30268849e-01 5.54767909e-01 1.94808583e-01
+PROFILE_C phi1.5708 -1.96725888e-01 -5.60227931e-01 -8.38440351e-01 -9.89007827e-01 -9.89007827e-01 -8.38440351e-01 -5.60227931e-01 -1.96725888e-01 1.96725888e-01 5.60227931e-01 8.38440351e-01 9.89007827e-01 9.89007827e-01 8.38440351e-01 5.60227931e-01 1.96725888e-01
+PROFILE_A-B phi1.5708 -4.62709942e-03 -1.34079086e-02 -2.26057300e-02 -2.43426175e-02 -7.47034346e-03 -3.07875936e-03 -3.40885205e-03 -1.34499672e-03 1.34499672e-03 3.40885205e-03 3.07875936e-03 7.47034346e-03 2.43426175e-02 2.26057300e-02 1.34079086e-02 4.62709942e-03
+PROFILE_A-C phi1.5708 -2.70979435e-03 -7.94788568e-03 -1.44342283e-02 -1.47036740e-02 2.16860001e-03 5.09274236e-03 2.05117083e-03 5.72308350e-04 -5.72308350e-04 -2.05117083e-03 -5.09274236e-03 -2.16860001e-03 1.47036740e-02 1.44342283e-02 7.94788568e-03 2.70979435e-03
+R A_T_phi1.5708 R=1.011850480751
+TRANSPOSE err=6.661338e-16 ok=True
+REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+SUMMARY_LINES_END
+
+RUN_RESULT {"started_utc": "2026-10-13T06:01:08.222086+00:00", "cwd": "/home/frank14f/CelerisLab/tests/validation/multigrid", "parent_command": ["env", "OPENBLAS_NUM_THREADS=1", "PYTHONDONTWRITEBYTECODE=1", "PYTHONNOUSERSITE=1", "PYTHONOPTIMIZE=0", "PYTHONPATH=/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py", "/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/local_stress_v1_evidence/run_once.py"], "script_command": ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/local_stress_observable_v1.py"], "environment": {"OPENBLAS_NUM_THREADS": "1", "PYTHONDONTWRITEBYTECODE": "1", "PYTHONNOUSERSITE": "1", "PYTHONOPTIMIZE": "0", "PYTHONPATH": "/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH": "/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py"}, "python_version": "3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]", "numpy_version_from_installed_metadata": "1.26.4", "platform": "Linux-6.8.0-138-generic-x86_64-with-glibc2.35", "hard_limits": {"address_space_bytes": [268435456, 268435456], "output_file_bytes": [2097152, 2097152], "core_bytes": [0, 0]}, "input_hashes_verified_before_execution": {"local_stress_observable_v1.py": "0e2777990359a7cf2bb29884173b7b01de37c49bcf49e1f29fc59fe83d62b456", "stdout_local_stress_observable_v1.txt": "6a826e5ad729ce45af6879a07a1c659d8b4a21403fde5b9c6d9696cc6a5b09d4", "TABLE_local_stress_observable_v1.md": "d8ff0568d9c473a4bb09396a8948ddc8dc5af2f0f3a23ac84d238814fc779501", "source_manifest.json": "d2cf90b73458f493c665c9a281d06aef0c190cf0d143639fb77ab838c78f020c"}, "archive_sha256_verified_before_execution": "5834b23711496beb152188df5f47ff8175baf7e52543774401bd2c1183433eed", "reference_sha256_verified_before_execution": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e", "planned_runs": 7, "coarse_steps_per_run": 32, "attempt": 1, "returncode": 0, "elapsed_seconds": 2.435032418987248, "child_peak_rss_MiB": 38.41796875, "parent_peak_rss_MiB": 18.75, "completed_utc": "2026-10-13T06:01:10.671541+00:00"}
diff --git a/tests/validation/multigrid/local_stress_v1_evidence/stdout_local_stress_observable_v1.txt b/tests/validation/multigrid/local_stress_v1_evidence/stdout_local_stress_observable_v1.txt
new file mode 100644
index 0000000..692ffe1
--- /dev/null
+++ b/tests/validation/multigrid/local_stress_v1_evidence/stdout_local_stress_observable_v1.txt
@@ -0,0 +1,118 @@
+=== local_stress_observable_v1 against CPUREF-0.3 ===
+REF_PATH=/workspace/shear_diag/cpu_reference_v0.3.py
+REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+REF_SHA_MATCH=True
+API_VERSION=CPUREF-0.3
+U0=0.001 tau_c=0.8 tau_f=1.1 steps=32 nu=0.1 k=0.39269908169872414
+nu*k^2=0.01542126
+ARRIVAL_STATE_POLICY: read CPUREF-0.3 State.coarse_f/fine_f at phase='arrival_f'
+  after N advance_coarse_once calls (tick=2N). That array IS post-stream pre-collision.
+  Uniform B/C use local collide-then-stream; f after 2N (B) or N (C) streams is arrival.
+  If arrival were unreachable without changing the reference, this script would STOP.
+STRESS: Pi_neq=sum(cx*cy*f)-rho*ux*uy; sigma=-(1-1/(2*tau))*Pi_neq; 2x2 vol-avg of sigma.
+  No extra dx/dt factor. a_u=(2/256)sum u sin; P_sigma=(2/256)sum sigma cos; own a_u.
+  Profile s(j)=mean_x[4,12)(sigma)/ (rho0*nu*k*a_u). Transposed: R only, no profile.
+
+-- running C (uniform-coarse) phi0.0000
+  ARRIVAL_ARRAY: uniform_C_f_after_32_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running B (uniform-fine) phi0.0000
+  ARRIVAL_ARRAY: uniform_B_f_after_64_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running A (composite CPUREF) phi0.0000
+  ARRIVAL_ARRAY: State.coarse_f + State.fine_f at phase='arrival_f' tick=64 (after 32 advance_coarse_once; arrival_f = post-stream pre-collision)
+  state.phase=arrival_f state.tick=64
+-- running C (uniform-coarse) phi1.5708
+  ARRIVAL_ARRAY: uniform_C_f_after_32_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running B (uniform-fine) phi1.5708
+  ARRIVAL_ARRAY: uniform_B_f_after_64_stream_steps_(=coarse_step_32_arrival; collide-then-stream loop)
+-- running A (composite CPUREF) phi1.5708
+  ARRIVAL_ARRAY: State.coarse_f + State.fine_f at phase='arrival_f' tick=64 (after 32 advance_coarse_once; arrival_f = post-stream pre-collision)
+  state.phase=arrival_f state.tick=64
+-- running A transpose phi=1.5707963267948966
+  ARRIVAL_ARRAY: State.coarse_f + State.fine_f at phase='arrival_f' tick=64 (after 32 advance_coarse_once; arrival_f = post-stream pre-collision)
+
+=== HARD CHECKS (unchanged v0.2 set) ===
+  finite[A_phi0.0000]=True cons=True mass_drift=5.969e-13 momx_drift=1.690e-13 momy_drift=2.753e-14 tol_abs=2.560e-10 init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi0.0000]=True cons=True mass_drift=7.105e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 
+  finite[C_phi0.0000]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 
+  finite[A_phi1.5708]=True cons=True mass_drift=8.242e-13 momx_drift=1.033e-13 momy_drift=9.015e-14 tol_abs=2.560e-10 init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi1.5708]=True cons=True mass_drift=6.821e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 
+  finite[C_phi1.5708]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 
+  finite[A_T_phi1.5708]=True cons=True mass_drift=7.105e-13 momx_drift=1.843e-14 momy_drift=6.062e-14 tol_abs=2.560e-10 init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  transpose_ok=True max_err=6.661e-16 (tol=1.000e-15)
+  t0 phi0.0000: AB_patch=1.084e-19 ok=True AC_out=2.168e-19 ok=True init_mm=1.110e-16 ok=True
+  t0 phi1.5708: AB_patch=1.084e-19 ok=True AC_out=2.168e-19 ok=True init_mm=1.110e-16 ok=True
+  init_mismatch[A_T]=1.110e-16 ok=True
+
+=== STRESS FINITE CHECKS (addition) ===
+  stress_finite[C_phi0.0000]=True R=1.00838364 a_u=5.991310e-04 P_sigma=2.372507e-05
+  stress_finite[B_phi0.0000]=True R=0.99855585 a_u=6.078606e-04 P_sigma=2.383616e-05
+  stress_finite[A_phi0.0000]=True R=1.01177462 a_u=5.949025e-04 P_sigma=2.363684e-05
+  stress_finite[C_phi1.5708]=True R=1.00838364 a_u=5.991310e-04 P_sigma=2.372507e-05
+  stress_finite[B_phi1.5708]=True R=0.99855585 a_u=6.078606e-04 P_sigma=2.383616e-05
+  stress_finite[A_phi1.5708]=True R=1.01185048 a_u=5.950623e-04 P_sigma=2.364496e-05
+  stress_finite[A_T_phi1.5708]=True R=1.01185048 a_u=5.950623e-04 P_sigma=2.364496e-05
+  N_BOOLEAN_HARD_CHECKS_V02=22: cons_A_T_phi1.5708,cons_A_phi0.0000,cons_A_phi1.5708,cons_B_phi0.0000,cons_B_phi1.5708,cons_C_phi0.0000,cons_C_phi1.5708,finite_A_T_phi1.5708,finite_A_phi0.0000,finite_A_phi1.5708,finite_B_phi0.0000,finite_B_phi1.5708,finite_C_phi0.0000,finite_C_phi1.5708,init_mismatch_ok_A_T_phi1.5708,init_mismatch_ok_phi0.0000,init_mismatch_ok_phi1.5708,t0_AB_patch_ok_phi0.0000,t0_AB_patch_ok_phi1.5708,t0_AC_out_ok_phi0.0000,t0_AC_out_ok_phi1.5708,transpose_ok
+  N_BOOLEAN_HARD_CHECKS_WITH_STRESS=29
+
+=== LOCAL STRESS OBSERVABLE at coarse step 32 ===
+FORMULA: R = P_sigma / (rho0 * nu * k * a_u); a_u from SAME run/tick/arrival
+WORDING: reported diagnostics only; phi probes phase structure only; no mechanism claim
+
+-- phi0.0000 --
+  R_A=1.0117746193  R_B=0.9985558540  R_C=1.0083836356
+  R_A/R_B=1.0132378827  R_A/R_C=1.0033627913
+  a_u A/B/C: 5.94902468e-04 6.07860566e-04 5.99130994e-04
+  P_sigma A/B/C: 2.36368412e-05 2.38361559e-05 2.37250678e-05
+  s_A(j): 9.915595e-01 8.382231e-01 5.539374e-01 1.826885e-01 -2.146875e-01 -5.725265e-01 -8.489390e-01 -9.987898e-01 -9.987898e-01 -8.489390e-01 -5.725265e-01 -2.146875e-01 1.826885e-01 5.539374e-01 8.382231e-01 9.915595e-01
+  s_B(j): 9.793689e-01 8.302688e-01 5.547679e-01 1.948086e-01 -1.948086e-01 -5.547679e-01 -8.302688e-01 -9.793689e-01 -9.793689e-01 -8.302688e-01 -5.547679e-01 -1.948086e-01 1.948086e-01 5.547679e-01 8.302688e-01 9.793689e-01
+  s_C(j): 9.890078e-01 8.384404e-01 5.602279e-01 1.967259e-01 -1.967259e-01 -5.602279e-01 -8.384404e-01 -9.890078e-01 -9.890078e-01 -8.384404e-01 -5.602279e-01 -1.967259e-01 1.967259e-01 5.602279e-01 8.384404e-01 9.890078e-01
+  s_A-s_B: 1.219061e-02 7.954261e-03 -8.305464e-04 -1.212007e-02 -1.987891e-02 -1.775863e-02 -1.867018e-02 -1.942089e-02 -1.942089e-02 -1.867018e-02 -1.775863e-02 -1.987891e-02 -1.212007e-02 -8.305464e-04 7.954261e-03 1.219061e-02
+  s_A-s_C: 2.551668e-03 -2.172403e-04 -6.290569e-03 -1.403738e-02 -1.796161e-02 -1.229861e-02 -1.049868e-02 -9.781945e-03 -9.781945e-03 -1.049868e-02 -1.229861e-02 -1.796161e-02 -1.403738e-02 -6.290569e-03 -2.172403e-04 2.551668e-03
+  FACE_ROWS j=3,4,11,12 flagged: j3:A=1.82689e-01,B=1.94809e-01,C=1.96726e-01,A-B=-1.21201e-02,A-C=-1.40374e-02 j4:A=-2.14687e-01,B=-1.94809e-01,C=-1.96726e-01,A-B=-1.98789e-02,A-C=-1.79616e-02 j11:A=-2.14687e-01,B=-1.94809e-01,C=-1.96726e-01,A-B=-1.98789e-02,A-C=-1.79616e-02 j12:A=1.82689e-01,B=1.94809e-01,C=1.96726e-01,A-B=-1.21201e-02,A-C=-1.40374e-02
+
+-- phi1.5708 --
+  R_A=1.0118504808  R_B=0.9985558540  R_C=1.0083836356
+  R_A/R_B=1.0133138539  R_A/R_C=1.0034380221
+  a_u A/B/C: 5.95062313e-04 6.07860566e-04 5.99130994e-04
+  P_sigma A/B/C: 2.36449649e-05 2.38361559e-05 2.37250678e-05
+  s_A(j): -1.994357e-01 -5.681758e-01 -8.528746e-01 -1.003712e+00 -9.868392e-01 -8.333476e-01 -5.581768e-01 -1.961536e-01 1.961536e-01 5.581768e-01 8.333476e-01 9.868392e-01 1.003712e+00 8.528746e-01 5.681758e-01 1.994357e-01
+  s_B(j): -1.948086e-01 -5.547679e-01 -8.302688e-01 -9.793689e-01 -9.793689e-01 -8.302688e-01 -5.547679e-01 -1.948086e-01 1.948086e-01 5.547679e-01 8.302688e-01 9.793689e-01 9.793689e-01 8.302688e-01 5.547679e-01 1.948086e-01
+  s_C(j): -1.967259e-01 -5.602279e-01 -8.384404e-01 -9.890078e-01 -9.890078e-01 -8.384404e-01 -5.602279e-01 -1.967259e-01 1.967259e-01 5.602279e-01 8.384404e-01 9.890078e-01 9.890078e-01 8.384404e-01 5.602279e-01 1.967259e-01
+  s_A-s_B: -4.627099e-03 -1.340791e-02 -2.260573e-02 -2.434262e-02 -7.470343e-03 -3.078759e-03 -3.408852e-03 -1.344997e-03 1.344997e-03 3.408852e-03 3.078759e-03 7.470343e-03 2.434262e-02 2.260573e-02 1.340791e-02 4.627099e-03
+  s_A-s_C: -2.709794e-03 -7.947886e-03 -1.443423e-02 -1.470367e-02 2.168600e-03 5.092742e-03 2.051171e-03 5.723084e-04 -5.723084e-04 -2.051171e-03 -5.092742e-03 -2.168600e-03 1.470367e-02 1.443423e-02 7.947886e-03 2.709794e-03
+  FACE_ROWS j=3,4,11,12 flagged: j3:A=-1.00371e+00,B=-9.79369e-01,C=-9.89008e-01,A-B=-2.43426e-02,A-C=-1.47037e-02 j4:A=-9.86839e-01,B=-9.79369e-01,C=-9.89008e-01,A-B=-7.47034e-03,A-C=2.16860e-03 j11:A=9.86839e-01,B=9.79369e-01,C=9.89008e-01,A-B=7.47034e-03,A-C=-2.16860e-03 j12:A=1.00371e+00,B=9.79369e-01,C=9.89008e-01,A-B=2.43426e-02,A-C=1.47037e-02
+
+-- A_T phi=1.5708 (R only, no profile) --
+  R_A_T=1.0118504808  a_u=5.95062313e-04  P_sigma=2.36449649e-05
+  profile=None (transpose)
+
+=== DECAY FITS (informational; same as v0.2) ===
+  analytic lambda = 0.01542126
+  A phi0.0000: lambda=0.01585222 stderr=8.572e-08 R2=1.000000 A0=1.000000e-03 A32=5.987423e-04
+  B phi0.0000: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi0.0000: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+  A phi1.5708: lambda=0.01584192 stderr=2.131e-07 R2=1.000000 A0=1.000000e-03 A32=5.989032e-04
+  B phi1.5708: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi1.5708: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+
+=== NUMERIC SUMMARY ===
+ALL_HARD_CHECKS_PASS_V02=True
+ALL_HARD_CHECKS_PASS_WITH_STRESS=True
+runtime_sec=0.77
+SUMMARY_LINES_BEGIN
+R phi0.0000 A=1.011774619306 B=0.998555854025 C=1.008383635570 A/B=1.013237882716 A/C=1.003362791319
+PROFILE_A phi0.0000 9.91559495e-01 8.38223110e-01 5.53937362e-01 1.82688509e-01 -2.14687493e-01 -5.72526539e-01 -8.48939033e-01 -9.98789772e-01 -9.98789772e-01 -8.48939033e-01 -5.72526539e-01 -2.14687493e-01 1.82688509e-01 5.53937362e-01 8.38223110e-01 9.91559495e-01
+PROFILE_B phi0.0000 9.79368883e-01 8.30268849e-01 5.54767909e-01 1.94808583e-01 -1.94808583e-01 -5.54767909e-01 -8.30268849e-01 -9.79368883e-01 -9.79368883e-01 -8.30268849e-01 -5.54767909e-01 -1.94808583e-01 1.94808583e-01 5.54767909e-01 8.30268849e-01 9.79368883e-01
+PROFILE_C phi0.0000 9.89007827e-01 8.38440351e-01 5.60227931e-01 1.96725888e-01 -1.96725888e-01 -5.60227931e-01 -8.38440351e-01 -9.89007827e-01 -9.89007827e-01 -8.38440351e-01 -5.60227931e-01 -1.96725888e-01 1.96725888e-01 5.60227931e-01 8.38440351e-01 9.89007827e-01
+PROFILE_A-B phi0.0000 1.21906117e-02 7.95426140e-03 -8.30546408e-04 -1.21200743e-02 -1.98789102e-02 -1.77586304e-02 -1.86701838e-02 -1.94208889e-02 -1.94208889e-02 -1.86701838e-02 -1.77586304e-02 -1.98789102e-02 -1.21200743e-02 -8.30546408e-04 7.95426140e-03 1.21906117e-02
+PROFILE_A-C phi0.0000 2.55166826e-03 -2.17240307e-04 -6.29056929e-03 -1.40373794e-02 -1.79616052e-02 -1.22986075e-02 -1.04986821e-02 -9.78194544e-03 -9.78194544e-03 -1.04986821e-02 -1.22986075e-02 -1.79616052e-02 -1.40373794e-02 -6.29056929e-03 -2.17240307e-04 2.55166826e-03
+R phi1.5708 A=1.011850480751 B=0.998555854025 C=1.008383635570 A/B=1.013313853874 A/C=1.003438022057
+PROFILE_A phi1.5708 -1.99435683e-01 -5.68175817e-01 -8.52874579e-01 -1.00371150e+00 -9.86839227e-01 -8.33347608e-01 -5.58176761e-01 -1.96153580e-01 1.96153580e-01 5.58176761e-01 8.33347608e-01 9.86839227e-01 1.00371150e+00 8.52874579e-01 5.68175817e-01 1.99435683e-01
+PROFILE_B phi1.5708 -1.94808583e-01 -5.54767909e-01 -8.30268849e-01 -9.79368883e-01 -9.79368883e-01 -8.30268849e-01 -5.54767909e-01 -1.94808583e-01 1.94808583e-01 5.54767909e-01 8.30268849e-01 9.79368883e-01 9.79368883e-01 8.30268849e-01 5.54767909e-01 1.94808583e-01
+PROFILE_C phi1.5708 -1.96725888e-01 -5.60227931e-01 -8.38440351e-01 -9.89007827e-01 -9.89007827e-01 -8.38440351e-01 -5.60227931e-01 -1.96725888e-01 1.96725888e-01 5.60227931e-01 8.38440351e-01 9.89007827e-01 9.89007827e-01 8.38440351e-01 5.60227931e-01 1.96725888e-01
+PROFILE_A-B phi1.5708 -4.62709942e-03 -1.34079086e-02 -2.26057300e-02 -2.43426175e-02 -7.47034346e-03 -3.07875936e-03 -3.40885205e-03 -1.34499672e-03 1.34499672e-03 3.40885205e-03 3.07875936e-03 7.47034346e-03 2.43426175e-02 2.26057300e-02 1.34079086e-02 4.62709942e-03
+PROFILE_A-C phi1.5708 -2.70979435e-03 -7.94788568e-03 -1.44342283e-02 -1.47036740e-02 2.16860001e-03 5.09274236e-03 2.05117083e-03 5.72308350e-04 -5.72308350e-04 -2.05117083e-03 -5.09274236e-03 -2.16860001e-03 1.47036740e-02 1.44342283e-02 7.94788568e-03 2.70979435e-03
+R A_T_phi1.5708 R=1.011850480751
+TRANSPOSE err=6.661338e-16 ok=True
+REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+SUMMARY_LINES_END
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/README.txt b/tests/validation/multigrid/shear_v0_2_evidence/README.txt
new file mode 100644
index 0000000..772f74a
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/README.txt
@@ -0,0 +1,115 @@
+Shear diagnostic v0.2 — Horsea review and single bounded run
+2026-10-13 (Asia/Shanghai); completed 13:02:45 local time.
+
+Result: exit 0; N_BOOLEAN_HARD_CHECKS=22; ALL_HARD_CHECKS_PASS=True.
+The delivered script ran exactly once: 7 runs, 32 coarse steps each. No extra
+cases, tests, retries, algorithm edits or tolerance changes were performed.
+The original script, Grok output, joint report and source manifest are retained
+byte-for-byte. The reference remains the pinned CPUREF-0.3 original.
+
+Review before execution
+Read the complete 790-line script, joint report, Grok output, input manifest
+and existing reference. Followed .github/skills/lbm-ref-architecture-guard/
+SKILL.md and its discovery/architecture checklists. No applicable AGENTS.md
+was found on the workspace/test-directory ancestor chain. No numerical issue
+blocks this fixed-scope rerun; this is Horsea's own review, not the Mac review.
+
+Reference findings (local files read only; no external package execution):
+1. ref/lbmpy/src/lbmpy/relaxationrates.py: lattice nu=(tau-1/2)/3.
+2. ref/OpenLB/src/core/unitConverter.h: physical nu=lattice nu*dx^2/dt.
+   With dx_f=dt_f=1/2, tau_c=.8 and tau_f=1.1 both give physical nu=.1;
+   the lattice velocity conversion is unchanged and B needs two fine steps.
+3. ref/lbmpy/tests/full_scenarios/shear_wave/scenario_shear_wave.py:
+   periodic modes decay as exp(-nu*|k|^2*t); log-amplitude fits estimate
+   decay. This supports the diagnostic, not an accuracy threshold here.
+4. ref/lbmpy/tests/test_shear_flow.py: the second moment needs the convective
+   contribution and relaxation correction considered before stress comparison.
+   The supplied global Pi_xy mean is not used as stress evidence.
+5. Existing cpu_reference.py: arrival_f input/output, tick advances by 2,
+   two fine hops, one coarse ghost explosion, closed-corner coalescence.
+   Reviewed full source and confirmed the unchanged hash before execution.
+
+Architecture/scope: script main -> run_uniform(B/C), run_composite(A/A_T) ->
+reference advance_coarse_once -> existing collision/hops/coalescence. Observation
+restricts rho and j to the same 16x16 coarse cells before dividing to obtain u.
+All observations are arrival_f. Exact cell-average sine velocity includes sinc
+and the patch coordinate offset; equilibrium of that velocity is not the exact
+cell average of nonlinear equilibrium populations. Fit 4..32 means coarse steps
+(reference ticks 8..64), despite the legacy PER-TICK table heading.
+Only the new script and this evidence directory are in scope. No src, existing
+test, strategy document, old evidence, reference or DynamisLab changes.
+
+Nonblocking limits: composite conservation uses the reference's _leaf_totals;
+this diagnostic is not a fresh independent conservation implementation. The
+uniform solver has an unused intermediate equilibrium calculation; it does not
+change its returned values. Retained both without cleanup to preserve delivery
+bytes. The explicit CPU_REFERENCE_PATH is required in this layout because the
+script's default filename is cpu_reference_v0.3.py.
+
+Execution evidence
+results_horsea.json records the exact complete parent/child argv, cwd, process
+environment, versions, timestamps, hard limits, exit code and measured memory.
+run_once.py is the stdlib-only recorder, not another numerical test. It refuses
+existing execution logs/results and checks the script/reference hashes and hard
+limits before launching. Both it and the child ran through existing prlimit:
+  address space 268435456 bytes (soft=hard)
+  file size 2097152 bytes (soft=hard), core 0
+OPENBLAS_NUM_THREADS=1, PYTHONDONTWRITEBYTECODE=1, PYTHONNOUSERSITE=1.
+PYTHONPATH is this exact multigrid directory; CPU_REFERENCE_PATH is its exact
+cpu_reference.py. PYTHONOPTIMIZE=0 keeps assertions enabled. No global changes.
+Existing Python 3.10.13 / NumPy 1.26.4; no dependency installation.
+Start/end UTC: 05:02:42.804589 / 05:02:45.056308 on 2026-10-13.
+Child wall time 2.237032 s; peak child RSS 37.69140625 MiB, parent 18.75 MiB.
+Combined stdout/stderr plus recorder metadata: 11421 bytes, below 2 MiB.
+No CelerisLab, Simulation or pycuda imports; no production/GPU/SSH/system work.
+
+Comparison with Grok
+HARD CHECKS and SUMMARY_LINES blocks match exactly at printed precision.
+All 22 individual Boolean values were parsed and matched, and checked against
+the printed list of 22 names. All 33 summary values match; all printed numeric
+differences in these two blocks are zero. See comparison.json for each value.
+This is not a claim of full-precision field or whole-stdout byte equality;
+reference path, runtime and recorder metadata are environment-specific.
+
+lambda per coarse step:
+  A phi0       0.0158522189
+  A phi(pi/2)  0.0158419175
+  B both       0.0153991657
+  C both       0.0155497331
+  analytic     0.0154212569
+Conservation mass drift <=8.242e-13, momentum drift <=1.690e-13, versus
+unchanged mass-scaled tolerance 2.560e-10. Transpose error 6.661338e-16
+passes 1e-15. Initial matches and all finite-state checks pass unchanged.
+
+Interpretation qualifications to the preserved joint report
+The ~2.94% / ~2.88% excess decay relative to B is a diagnostic observation
+over this fixed window, not a hard-threshold failure. A good exponential fit
+over steps 4..32 does not establish longer-time persistence or exclude all
+initialization effects. Symmetry cancels the global Pi mean; it is not stress
+transfer evidence. Time-held ghost supply and unscaled nonequilibrium copying
+are candidate explanations, not an exhaustive set or an identified mechanism.
+In particular, a negative time-interpolation result would not establish the
+other candidate by elimination. Original joint_report.md remains unchanged.
+
+Next minimal verification — specification only, not implemented or run
+First specify a phase- and unit-matched local shear observation on the same
+7-run/32-step setup: arrival_f Pi_xy^neq=sum(cx*cy*f)-rho*ux*uy, restricted
+with consistent volume weighting and the appropriate relaxation/unit conversion.
+Measure a cosine shear-mode projection and signed profiles on both sides of
+the patch faces, with B/C as controls; avoid cancellation by a domain mean.
+Keep all 22 checks, initialization and fit window fixed. Report differences
+without inventing a pass/fail stress threshold. This can test localization and
+phase structure, but does not alone prove causation.
+Before any later time-interpolated-ghost variant, jointly specify the available
+donor time levels, arrival_f/postcollision_g phase, interpolation order and flux
+accounting. Coarse g(t+1) is unavailable before the present fine hops; silently
+reordering the step or using unspecified future data would confound that test.
+No such variant, new observation code or reference continuation is part of this run.
+
+Audit
+baseline.json freezes HEAD, Git status and 281 existing file hashes before any
+input extraction. Its scope includes tracked/nonignored project files and the
+prior baseline's ignored records; excludes the read-only ref tree and bytecode.
+manifest.json records final old-file/input/reference verification and every new
+file's path, bytes and SHA256, except its own hash reported in the handoff.
+No commit or push. Stopped for joint acceptance.
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/baseline.json b/tests/validation/multigrid/shear_v0_2_evidence/baseline.json
new file mode 100644
index 0000000..70d9c9f
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/baseline.json
@@ -0,0 +1,289 @@
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diff --git a/tests/validation/multigrid/shear_v0_2_evidence/comparison.json b/tests/validation/multigrid/shear_v0_2_evidence/comparison.json
new file mode 100644
index 0000000..0af8736
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/comparison.json
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+    },
+    {
+      "row": "FIT A phi1.5708",
+      "metric": "lambda",
+      "grok": "0.0158419175",
+      "horsea": "0.0158419175",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-10"
+    },
+    {
+      "row": "FIT A phi1.5708",
+      "metric": "stderr",
+      "grok": "2.130663e-07",
+      "horsea": "2.130663e-07",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-13"
+    },
+    {
+      "row": "FIT A phi1.5708",
+      "metric": "R2",
+      "grok": "1.00000000",
+      "horsea": "1.00000000",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-8"
+    },
+    {
+      "row": "FIT A phi1.5708",
+      "metric": "A0",
+      "grok": "1.0000000000e-03",
+      "horsea": "1.0000000000e-03",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-13"
+    },
+    {
+      "row": "FIT A phi1.5708",
+      "metric": "A32",
+      "grok": "5.9890316832e-04",
+      "horsea": "5.9890316832e-04",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-14"
+    },
+    {
+      "row": "FIT B phi1.5708",
+      "metric": "lambda",
+      "grok": "0.0153991657",
+      "horsea": "0.0153991657",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-10"
+    },
+    {
+      "row": "FIT B phi1.5708",
+      "metric": "stderr",
+      "grok": "3.372390e-15",
+      "horsea": "3.372390e-15",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-21"
+    },
+    {
+      "row": "FIT B phi1.5708",
+      "metric": "R2",
+      "grok": "1.00000000",
+      "horsea": "1.00000000",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-8"
+    },
+    {
+      "row": "FIT B phi1.5708",
+      "metric": "A0",
+      "grok": "1.0000000000e-03",
+      "horsea": "1.0000000000e-03",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-13"
+    },
+    {
+      "row": "FIT B phi1.5708",
+      "metric": "A32",
+      "grok": "6.1178402808e-04",
+      "horsea": "6.1178402808e-04",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-14"
+    },
+    {
+      "row": "FIT C phi1.5708",
+      "metric": "lambda",
+      "grok": "0.0155497331",
+      "horsea": "0.0155497331",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-10"
+    },
+    {
+      "row": "FIT C phi1.5708",
+      "metric": "stderr",
+      "grok": "1.906424e-08",
+      "horsea": "1.906424e-08",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-14"
+    },
+    {
+      "row": "FIT C phi1.5708",
+      "metric": "R2",
+      "grok": "1.00000000",
+      "horsea": "1.00000000",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-8"
+    },
+    {
+      "row": "FIT C phi1.5708",
+      "metric": "A0",
+      "grok": "1.0000000000e-03",
+      "horsea": "1.0000000000e-03",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-13"
+    },
+    {
+      "row": "FIT C phi1.5708",
+      "metric": "A32",
+      "grok": "6.0299811110e-04",
+      "horsea": "6.0299811110e-04",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-14"
+    },
+    {
+      "row": "TRANSPOSE",
+      "metric": "err",
+      "grok": "6.661338e-16",
+      "horsea": "6.661338e-16",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-22"
+    },
+    {
+      "row": "TRANSPOSE",
+      "metric": "ok",
+      "grok": "True",
+      "horsea": "True",
+      "identical_printed": true
+    },
+    {
+      "row": "ANALYTIC",
+      "metric": "lambda",
+      "grok": "0.0154212569",
+      "horsea": "0.0154212569",
+      "identical_printed": true,
+      "horsea_minus_grok": "0E-10"
+    }
+  ],
+  "hard_check_numeric_differences": [],
+  "hard_block_identical": true,
+  "summary_block_identical": true
+}
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/joint_report.md b/tests/validation/multigrid/shear_v0_2_evidence/joint_report.md
new file mode 100644
index 0000000..eed8712
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/joint_report.md
@@ -0,0 +1,96 @@
+# Shear interface diagnostic v0: merged FINAL report v2 (ClaudeWorker + Grok, 2026-10-13)
+
+Supersedes 17_shear_diagnostic_v0_merged_report.md (14BeLNaB7M3ALgrDubBeDu3LO7DeR_JYZ), which was
+written before the final pinning. All numbers below were re-checked against the pinned v0.2 stdout.
+Status: diagnostic finding only. Not a solver-failure gate. No stress-transfer mechanism has been identified.
+
+## 0. Pinned artifacts (Drive folder 1v-ptYZ3JyU8mVmiyBizcIuA440FYlMSz)
+- Reference: unchanged CPUREF-0.3, SHA256 bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+- Script: shear_diagnostic_v0_2.py (1_IFVwcgAekq1geeam5jkoUyjXBVXJWRA),
+  SHA256 a8b1cf2f7abd00efc4d068bbd27bb2317144a6ca4c545d9b2e0dcf421eadebc6
+- Stdout (Grok sandbox): stdout_shear_diagnostic_v0_2.txt (10TxZvxweLZXCv_WMzuk6jKzLwlRwOdmg),
+  SHA256 28ddd1267ca91a772f5a6bfc65d949c9a4ea7dac5c9ba3a0bdb168492810b670
+- Horsea confirmation:
+  - Command: CPU_REFERENCE_PATH=<path>/cpu_reference_v0.3.py python3 shear_diagnostic_v0_2.py
+  - Expected: exit 0.
+  - Compare the HARD CHECKS and SUMMARY_LINES blocks, not the whole-file hash: REF_PATH and runtime differ
+    between machines.
+- History:
+  - v0 (1Kf3_99u210n_FyLKRGEMoB40zHzQgHHM) and v0.1 (1pH9q39daAXie4B0IFEicSLYOQOIMz9tW) differ from v0.2
+    only in the checker and reporting code.
+  - The lambda values are bit-identical across v0, v0.1 and v0.2.
+  - Reviews: 16_CLAUDE review (1hhuCAXAURP2qVyptM4pgIlDT_qqaicY9); root's static review via TRON.
+
+## 1. Frozen setup
+- Geometry: 16^2 periodic coarse grid, static 2:1 patch [4,12)^2, D2Q9 SRT, tau_c = 0.8, tau_f = 1.1
+  (nu = 0.1 coarse units). CPU only; runtime 0.55 s.
+- Mode: u_x = U0 sin(2*pi*y/16 + phi), U0 = 1e-3, phi in {0, pi/2}.
+- 7 runs: A composite, B uniform-fine 32^2, C uniform-coarse 16^2 for each phi; plus A transposed at phi = pi/2.
+- Duration: 32 coarse steps. Startup = steps 0-3 (reported). Fit = steps 4-32 (= CPUREF ticks 8..64).
+- Initialisation: equilibrium of the exact cell-average velocity (sinc factor); fine centres include the patch
+  offset. This is not the exact cell average of the nonlinear f_eq.
+- Observation: all grids at arrival_f (post-stream, pre-collision). Restrict rho and j by 2x2 averaging,
+  then u = j/rho. One common 16^2 modal projection.
+
+## 2. Hard checks: 22 Booleans, all True (ALL_HARD_CHECKS_PASS = True)
+- Cross-review corrections:
+  - A_T is now included (Claude B1).
+  - The t0 and init conventions are now Boolean assertions, not just printed values (root).
+- Finite active states: all 7 runs.
+- Conservation drift: mass <= 8.2e-13, momentum <= 1.7e-13 (tolerance 1e-12 x mass ~ 2.56e-10).
+- Transpose: error 6.7e-16 (tolerance 1e-15).
+- t0 restricted u:
+  - A vs B on the patch: 1.1e-19.
+  - A vs C outside the patch: 2.2e-19.
+  - Tolerance: T0_TOL = 1e-15.
+- Init rho/j mismatch: 1.1e-16 for A (both phi) and for A_T (tolerance INIT_TOL = 1e-12).
+
+## 3. Reported numbers (no thresholds)
+Decay rate lambda per coarse step. The analytic value nu*k^2 is 0.0154213.
+
+| run | phi=0 | phi=pi/2 | stderr |
+|---|---|---|---|
+| A composite | 0.0158522 | 0.0158419 | <= 2.1e-7 |
+| B uniform-fine | 0.0153992 | 0.0153992 | ~3e-15 |
+| C uniform-coarse | 0.0155497 | 0.0155497 | 1.9e-8 |
+
+- The composite decays ~2.9% faster than uniform-fine and also faster than uniform-coarse.
+  The fit is exponential, so this is a persistent rate excess, not a startup transient.
+  s = (A-B)/(C-B) = 3.01 / 2.94, with denominator 1.5e-4, well above fit noise.
+- e_IF/e_CB at step 32 = 1.50 / 1.57 (unnormalised L2 over 256 cells).
+- Per-cell RMS of (u_A - u_B) at step 32 (patch = 64 cells, outside = 192):
+  - phi=0: patch 9.92e-6, outside 9.04e-6 (ratio 1.10). The patch holds 28.6% of the error energy on 25% of
+    the area.
+  - phi=pi/2: patch 1.15e-5, outside 9.01e-6 (ratio 1.28). The patch holds 35.2% of the error energy on 25%
+    of the area.
+  - Reference: C-B per-cell RMS is 6.2e-6.
+  Reading: the error is spread over the whole domain, with mild concentration on the patch at phi = pi/2.
+- Profile of the x-averaged (u_A - u_B)(y):
+  - phi=0: mostly modal, with a larger deficit inside the patch.
+  - phi=pi/2: a non-modal kink at y ~ 3.5-4.5, where the horizontal interface sits at maximum shear.
+    The non-modal residual is 5.5e-2 vs 2.2e-2 at phi=0 (L2/U0).
+- Acoustic sensors at step 32: max|u_y|/U0 = 3.7e-3 / 5.0e-3, max|rho-1| ~ 4e-6.
+- Pi_xy: the domain mean cancels by symmetry. It is not a stress-transfer sensor, is still printed in stdout,
+  and is excluded from the conclusions.
+
+## 4. Limitations
+- One resolution, wavenumber, tau pair, patch and duration. No convergence order can be inferred.
+- Approximate equilibrium-only initialisation. The startup transient is excluded from the fit, not modelled.
+- B and C use the script's own uniform SRT. Its formulas were checked against the reference, but it is a
+  separate implementation.
+- Sandbox run only. Bounded Horsea confirmation is pending.
+- Attribution is open. The data are consistent with an interface stress-transfer error but do not show one.
+  The candidates are two stated CPUREF simplifications, neither claimed wrong:
+  (i) post-collision coarse packets are copied into the fine ghosts without rescaling;
+  (ii) the ghosts hold g_c(t) for both fine hops.
+
+## 5. One next discriminating test (not run; write a spec first)
+Same 7-run freeze, changing exactly one simplification: time-interpolated ghosts between the two fine hops,
+with the unrescaled copy kept.
+- If lambda_A - lambda_B shrinks, the ghost hold is implicated.
+- If it does not, the unrescaled copy becomes the remaining suspect, by elimination only.
+- Spec caveat: in the current step order, coarse g_c(t+1) does not exist before the fine hops. The
+  interpolation source (extrapolation or a reordered coarse step) has to be specified first, and the change
+  reviewed as a reference-algorithm change.
+- Static prior (ClaudeWorker, an estimate, not evidence): the ghost-hold lag is about lambda*dt/2 ~ 1% of the
+  local velocity, while the non-equilibrium copy mismatch scales with k*U0. So the result may well be negative.
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/manifest.json b/tests/validation/multigrid/shear_v0_2_evidence/manifest.json
new file mode 100644
index 0000000..b22d03a
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/manifest.json
@@ -0,0 +1,97 @@
+{
+  "verified_utc": "2026-10-13T05:06:08.983097+00:00",
+  "head": "6e3756c587ec08ab6a55c4a1a5f4671822d3f0a0",
+  "old_files_checked": 281,
+  "old_files_changed": [],
+  "old_git_status_entries_removed": [],
+  "only_authorized_new_git_paths": true,
+  "archive_path": "/tmp/celerislab-shear-input-20261013-a8b1cf2.tar",
+  "archive_sha256": "7937bcb6b6962718ce7509fa6e35905cb834e50eb25c72b18087127685d02630",
+  "reference_sha256": "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e",
+  "inputs": [
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/joint_report.md",
+      "bytes": 6110,
+      "sha256": "1860b8082108c8b8a87998af90cd0b81dce1c04e9f6c67b41e0912f9fef6cc9c",
+      "matches_tar_bytes": true
+    },
+    {
+      "path": "tests/validation/multigrid/shear_diagnostic_v0_2.py",
+      "bytes": 30308,
+      "sha256": "a8b1cf2f7abd00efc4d068bbd27bb2317144a6ca4c545d9b2e0dcf421eadebc6",
+      "matches_tar_bytes": true
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/stdout_grok.txt",
+      "bytes": 7950,
+      "sha256": "28ddd1267ca91a772f5a6bfc65d949c9a4ea7dac5c9ba3a0bdb168492810b670",
+      "matches_tar_bytes": true
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/source_manifest.json",
+      "bytes": 574,
+      "sha256": "56fbd0259ff3d4dbd14ace52f64e249a435e9df91732b0e4027def2c344c2e6a",
+      "matches_tar_bytes": true
+    }
+  ],
+  "original_input_bytes_unchanged": true,
+  "delivered_byte_deviations": [],
+  "blocking_numerical_objections": [],
+  "interpretation_qualifications": "See README.txt; report extrapolation/causal-elimination wording is not adopted.",
+  "execution_attempts": 1,
+  "hard_checks_passed": 22,
+  "grok_hard_block_identical": true,
+  "grok_summary_block_identical": true,
+  "new_files_except_this_manifest": [
+    {
+      "path": "tests/validation/multigrid/shear_diagnostic_v0_2.py",
+      "bytes": 30308,
+      "sha256": "a8b1cf2f7abd00efc4d068bbd27bb2317144a6ca4c545d9b2e0dcf421eadebc6"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/README.txt",
+      "bytes": 7220,
+      "sha256": "4306a34b6896bd6e7a5c2ca71d68e18450359239d0c7ad7a67a4e83e7155959a"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/baseline.json",
+      "bytes": 41751,
+      "sha256": "98a7853341ea732762c7506694e3a867a7259bf110e9e461ea84f741fd9ab829"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/comparison.json",
+      "bytes": 7679,
+      "sha256": "41c00372099dd04b6d323785e9eaf4fec09da1753d3d150ffa230800f904142f"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/joint_report.md",
+      "bytes": 6110,
+      "sha256": "1860b8082108c8b8a87998af90cd0b81dce1c04e9f6c67b41e0912f9fef6cc9c"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/results_horsea.json",
+      "bytes": 1957,
+      "sha256": "c2d7ce8d16a0f47baff0788a153353dcf67088da974d9cd3d521b04ecd91ee05"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/run_once.py",
+      "bytes": 3245,
+      "sha256": "6698a2e040c56be949b809387d4518eb0ba82d34cc9d99640da4f8bf3c35c23f"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/source_manifest.json",
+      "bytes": 574,
+      "sha256": "56fbd0259ff3d4dbd14ace52f64e249a435e9df91732b0e4027def2c344c2e6a"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/stdout_grok.txt",
+      "bytes": 7950,
+      "sha256": "28ddd1267ca91a772f5a6bfc65d949c9a4ea7dac5c9ba3a0bdb168492810b670"
+    },
+    {
+      "path": "tests/validation/multigrid/shear_v0_2_evidence/stdout_horsea.txt",
+      "bytes": 11421,
+      "sha256": "0577df5b3f5cb3c7b6e1ef2de71344f8fd3e6d959117487a06cbaf7f2afa3dea"
+    }
+  ]
+}
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/results_horsea.json b/tests/validation/multigrid/shear_v0_2_evidence/results_horsea.json
new file mode 100644
index 0000000..b2cd48a
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/results_horsea.json
@@ -0,0 +1,65 @@
+{
+  "started_utc": "2026-10-13T05:02:42.804589+00:00",
+  "cwd": "/home/frank14f/CelerisLab/tests/validation/multigrid",
+  "parent_command": [
+    "env",
+    "OPENBLAS_NUM_THREADS=1",
+    "PYTHONDONTWRITEBYTECODE=1",
+    "PYTHONNOUSERSITE=1",
+    "PYTHONOPTIMIZE=0",
+    "PYTHONPATH=/home/frank14f/CelerisLab/tests/validation/multigrid",
+    "CPU_REFERENCE_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py",
+    "/usr/bin/prlimit",
+    "--as=268435456",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/shear_v0_2_evidence/run_once.py"
+  ],
+  "script_command": [
+    "/usr/bin/prlimit",
+    "--as=268435456",
+    "--fsize=2097152",
+    "--core=0",
+    "--",
+    "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python",
+    "-B",
+    "/home/frank14f/CelerisLab/tests/validation/multigrid/shear_diagnostic_v0_2.py"
+  ],
+  "environment": {
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONOPTIMIZE": "0",
+    "PYTHONPATH": "/home/frank14f/CelerisLab/tests/validation/multigrid",
+    "CPU_REFERENCE_PATH": "/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py"
+  },
+  "python_version": "3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]",
+  "numpy_version_from_installed_metadata": "1.26.4",
+  "platform": "Linux-6.8.0-138-generic-x86_64-with-glibc2.35",
+  "hard_limits": {
+    "address_space_bytes": [
+      268435456,
+      268435456
+    ],
+    "output_file_bytes": [
+      2097152,
+      2097152
+    ],
+    "core_bytes": [
+      0,
+      0
+    ]
+  },
+  "planned_runs": 7,
+  "coarse_steps_per_run": 32,
+  "attempt": 1,
+  "returncode": 0,
+  "elapsed_seconds": 2.2370318549801596,
+  "child_peak_rss_MiB": 37.69140625,
+  "parent_peak_rss_MiB": 18.75,
+  "completed_utc": "2026-10-13T05:02:45.056308+00:00",
+  "stdout_bytes": 11421
+}
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/run_once.py b/tests/validation/multigrid/shear_v0_2_evidence/run_once.py
new file mode 100644
index 0000000..0b8d5e2
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/run_once.py
@@ -0,0 +1,74 @@
+"""Bounded execution recorder; refuses to overwrite evidence or repeat a run."""
+import datetime
+import hashlib
+import importlib.metadata
+import json
+import os
+from pathlib import Path
+import platform
+import resource
+import shlex
+import subprocess
+import sys
+import time
+
+evidence = Path(__file__).resolve().parent
+base = evidence.parent
+script = base / "shear_diagnostic_v0_2.py"
+reference = base / "cpu_reference.py"
+expected_env = {
+    "OPENBLAS_NUM_THREADS": "1",
+    "PYTHONDONTWRITEBYTECODE": "1",
+    "PYTHONNOUSERSITE": "1",
+    "PYTHONOPTIMIZE": "0",
+    "PYTHONPATH": str(base),
+    "CPU_REFERENCE_PATH": str(reference),
+}
+limits = {
+    "address_space_bytes": (resource.RLIMIT_AS, 268435456),
+    "output_file_bytes": (resource.RLIMIT_FSIZE, 2097152),
+    "core_bytes": (resource.RLIMIT_CORE, 0),
+}
+assert all(os.environ.get(k) == v for k, v in expected_env.items())
+assert all(resource.getrlimit(key) == (value, value) for key, value in limits.values())
+assert sys.executable == "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python"
+assert hashlib.sha256(script.read_bytes()).hexdigest() == "a8b1cf2f7abd00efc4d068bbd27bb2317144a6ca4c545d9b2e0dcf421eadebc6"
+assert hashlib.sha256(reference.read_bytes()).hexdigest() == "bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e"
+log_path = evidence / "stdout_horsea.txt"
+result_path = evidence / "results_horsea.json"
+assert not log_path.exists() and not result_path.exists(), "Existing execution evidence; do not rerun"
+prefix = ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", sys.executable, "-B"]
+command = prefix + [str(script)]
+report = {
+    "started_utc": datetime.datetime.now(datetime.timezone.utc).isoformat(),
+    "cwd": str(base),
+    "parent_command": ["env"] + [f"{k}={v}" for k, v in expected_env.items()] + prefix + [str(Path(__file__).resolve())],
+    "script_command": command,
+    "environment": expected_env,
+    "python_version": sys.version,
+    "numpy_version_from_installed_metadata": importlib.metadata.version("numpy"),
+    "platform": platform.platform(),
+    "hard_limits": {name: resource.getrlimit(key) for name, (key, _) in limits.items()},
+    "planned_runs": 7,
+    "coarse_steps_per_run": 32,
+    "attempt": 1,
+}
+with log_path.open("xb", buffering=0) as log:
+    log.write(("RECORDER " + json.dumps(report) + "\nCOMMAND " + shlex.join(command) + "\n").encode())
+    start = time.monotonic()
+    child = subprocess.run(command, cwd=base, stdout=log, stderr=subprocess.STDOUT, check=False)
+    report.update(
+        returncode=child.returncode,
+        elapsed_seconds=time.monotonic() - start,
+        child_peak_rss_MiB=resource.getrusage(resource.RUSAGE_CHILDREN).ru_maxrss / 1024,
+        parent_peak_rss_MiB=resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024,
+        completed_utc=datetime.datetime.now(datetime.timezone.utc).isoformat(),
+    )
+    log.write(("\nRUN_RESULT " + json.dumps(report) + "\n").encode())
+report["stdout_bytes"] = log_path.stat().st_size
+with result_path.open("x") as result:
+    json.dump(report, result, indent=2)
+    result.write("\n")
+print(json.dumps(report, indent=2))
+assert report["stdout_bytes"] < 2097152
+sys.exit(child.returncode if child.returncode >= 0 else 1)
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/source_manifest.json b/tests/validation/multigrid/shear_v0_2_evidence/source_manifest.json
new file mode 100644
index 0000000..4d1c742
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/source_manifest.json
@@ -0,0 +1,20 @@
+[
+  {
+    "id": "1_IFVwcgAekq1geeam5jkoUyjXBVXJWRA",
+    "name": "shear_diagnostic_v0_2.py",
+    "bytes": 30308,
+    "sha256": "a8b1cf2f7abd00efc4d068bbd27bb2317144a6ca4c545d9b2e0dcf421eadebc6"
+  },
+  {
+    "id": "10TxZvxweLZXCv_WMzuk6jKzLwlRwOdmg",
+    "name": "stdout_grok.txt",
+    "bytes": 7950,
+    "sha256": "28ddd1267ca91a772f5a6bfc65d949c9a4ea7dac5c9ba3a0bdb168492810b670"
+  },
+  {
+    "id": "1u21zTKWxnfjAnBwhlk_XhWJjdQTC_ytb",
+    "name": "joint_report.md",
+    "bytes": 6110,
+    "sha256": "1860b8082108c8b8a87998af90cd0b81dce1c04e9f6c67b41e0912f9fef6cc9c"
+  }
+]
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/stdout_grok.txt b/tests/validation/multigrid/shear_v0_2_evidence/stdout_grok.txt
new file mode 100644
index 0000000..0e80b1a
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/stdout_grok.txt
@@ -0,0 +1,89 @@
+=== shear_diagnostic_v0.2 against CPUREF-0.3 ===
+REF_PATH=/workspace/shear_diag/cpu_reference_v0.3.py
+REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+API_VERSION=CPUREF-0.3
+U0=0.001 tau_c=0.8 tau_f=1.1 steps=32 nu=0.1 k=0.39269908169872414
+nu*k^2=0.01542126  (analytic decay rate)
+INIT: equilibrium of averaged velocity (NOT exact cell-avg of nonlinear feq)
+UNITS: fit/report 'steps' are coarse steps; CPUREF tick = fine step count
+  fit window coarse steps 4..32 = CPUREF ticks 8..64
+  startup coarse steps 0..3 = CPUREF ticks 0..6
+  nonmodal/e_IF/e_CB are unnormalised L2 sums over 256 coarse cells
+  (per-cell RMS = value/16); nonmodal is already /U0
+CONS_TOL=1e-12 relative to mass (~256) => abs ~2.560e-10
+
+-- running C (uniform-coarse) phi0.0000
+-- running B (uniform-fine) phi0.0000
+-- running A (composite CPUREF) phi0.0000
+-- running C (uniform-coarse) phi1.5708
+-- running B (uniform-fine) phi1.5708
+-- running A (composite CPUREF) phi1.5708
+-- running A transpose phi=1.5707963267948966
+
+=== HARD CHECKS ===
+  finite[A_phi0.0000]=True cons=True mass_drift=5.969e-13 momx_drift=1.690e-13 momy_drift=2.753e-14 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi0.0000]=True cons=True mass_drift=7.105e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[C_phi0.0000]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[A_phi1.5708]=True cons=True mass_drift=8.242e-13 momx_drift=1.033e-13 momy_drift=9.015e-14 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi1.5708]=True cons=True mass_drift=6.821e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[C_phi1.5708]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[A_T_phi1.5708]=True cons=True mass_drift=7.105e-13 momx_drift=1.843e-14 momy_drift=6.062e-14 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  transpose_ok=True max_err=6.661e-16 (tol=1.000e-15)
+  t0 amp A/B/C phi0.0000: 1.00000000e-03 1.00000000e-03 1.00000000e-03
+  t0 max|ux A-B| patch=1.084e-19  |A-C| outside=2.168e-19  |B-C| all=6.245e-17
+  t0_AB_patch_ok=True t0_AC_out_ok=True (T0_TOL=1.0e-15)  init_mismatch=1.110e-16 ok=True (INIT_TOL=1.0e-12)
+  t0 amp A/B/C phi1.5708: 1.00000000e-03 1.00000000e-03 1.00000000e-03
+  t0 max|ux A-B| patch=1.084e-19  |A-C| outside=2.168e-19  |B-C| all=6.245e-17
+  t0_AB_patch_ok=True t0_AC_out_ok=True (T0_TOL=1.0e-15)  init_mismatch=1.110e-16 ok=True (INIT_TOL=1.0e-12)
+  init_mismatch[A_T]=1.110e-16 ok=True (INIT_TOL=1.0e-12)
+  N_BOOLEAN_HARD_CHECKS=22: cons_A_T_phi1.5708,cons_A_phi0.0000,cons_A_phi1.5708,cons_B_phi0.0000,cons_B_phi1.5708,cons_C_phi0.0000,cons_C_phi1.5708,finite_A_T_phi1.5708,finite_A_phi0.0000,finite_A_phi1.5708,finite_B_phi0.0000,finite_B_phi1.5708,finite_C_phi0.0000,finite_C_phi1.5708,init_mismatch_ok_A_T_phi1.5708,init_mismatch_ok_phi0.0000,init_mismatch_ok_phi1.5708,t0_AB_patch_ok_phi0.0000,t0_AB_patch_ok_phi1.5708,t0_AC_out_ok_phi0.0000,t0_AC_out_ok_phi1.5708,transpose_ok
+
+=== DECAY FITS (coarse steps 4..32 = CPUREF ticks 8..64) ===
+  analytic lambda = nu*k^2 = 0.01542126
+  A phi0.0000: lambda=0.01585222 stderr=8.572e-08 R2=1.000000 A0=1.000000e-03 A32=5.987423e-04
+  B phi0.0000: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi0.0000: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+  DIAG s=(lambda_A-lambda_B)/(lambda_C-lambda_B) phi0.0000: s=3.0090 (lambda_C-lambda_B)=1.505674e-04
+  DIAG e_IF/e_CB step32 (unnorm L2/256cells): e_IF=1.482978e-04 e_IF_patch=7.933404e-05 e_IF_out=1.252931e-04 e_CB=9.876383e-05 ratio_IF/CB=1.5015
+  DIAG per-cell RMS (uA-uB) step32 phi0.0000: patch=9.9168e-06 (64 cells) outside=9.0422e-06 (192 cells) ratio=1.097 patch_energy_frac=0.2862 (area frac 0.25)
+  DIAG sensors step32: nonmodal(L2/U0)=2.2349e-02 max|uy|/U0=3.6890e-03 max|drho|=3.8401e-06
+  DIAG (uA-uB)_xavg(y) step32 phi0.0000: -2.032e-06 -6.024e-06 -9.820e-06 -1.332e-05 -1.222e-05 -1.167e-05 -8.270e-06 -2.980e-06 2.980e-06 8.270e-06 1.167e-05 1.222e-05 1.332e-05 9.820e-06 6.024e-06 2.032e-06
+  DIAG Pi_xy_mean step32 phi0.0000: B=-1.084202e-19 C=2.168404e-19 (composite=NaN; arrival_f proxy on uniforms)
+  A phi1.5708: lambda=0.01584192 stderr=2.131e-07 R2=1.000000 A0=1.000000e-03 A32=5.989032e-04
+  B phi1.5708: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi1.5708: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+  DIAG s=(lambda_A-lambda_B)/(lambda_C-lambda_B) phi1.5708: s=2.9406 (lambda_C-lambda_B)=1.505674e-04
+  DIAG e_IF/e_CB step32 (unnorm L2/256cells): e_IF=1.550631e-04 e_IF_patch=9.195288e-05 e_IF_out=1.248568e-04 e_CB=9.876383e-05 ratio_IF/CB=1.5700
+  DIAG per-cell RMS (uA-uB) step32 phi1.5708: patch=1.1494e-05 (64 cells) outside=9.0108e-06 (192 cells) ratio=1.276 patch_energy_frac=0.3517 (area frac 0.25)
+  DIAG sensors step32: nonmodal(L2/U0)=5.5487e-02 max|uy|/U0=5.0221e-03 max|drho|=4.3542e-06
+  DIAG (uA-uB)_xavg(y) step32 phi1.5708: -9.119e-06 -8.622e-06 -7.886e-06 -7.167e-06 -2.176e-06 6.314e-06 1.264e-05 1.601e-05 1.601e-05 1.264e-05 6.314e-06 -2.176e-06 -7.167e-06 -7.886e-06 -8.622e-06 -9.119e-06
+  DIAG Pi_xy_mean step32 phi1.5708: B=-1.084202e-19 C=2.168404e-19 (composite=NaN; arrival_f proxy on uniforms)
+
+=== PER-TICK AMPLITUDE (selected) ===
+tick           A_p0           B_p0           C_p0          A_p90          B_p90          C_p90          exact
+   0   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03
+   1   9.773722e-04   9.860853e-04   9.746265e-04   9.774280e-04   9.860853e-04   9.746265e-04   9.846970e-04
+   2   9.636011e-04   9.710270e-04   9.617788e-04   9.635461e-04   9.710270e-04   9.617788e-04   9.696283e-04
+   3   9.481499e-04   9.561886e-04   9.465229e-04   9.481500e-04   9.561886e-04   9.465229e-04   9.547901e-04
+   4   9.332807e-04   9.415768e-04   9.319786e-04   9.332641e-04   9.415768e-04   9.319786e-04   9.401790e-04
+   8   8.759254e-04   8.853290e-04   8.757728e-04   8.759360e-04   8.853290e-04   8.757728e-04   8.839365e-04
+  12   8.221055e-04   8.324412e-04   8.229603e-04   8.221445e-04   8.324412e-04   8.229603e-04   8.310585e-04
+  16   7.715978e-04   7.827129e-04   7.733326e-04   7.716635e-04   7.827129e-04   7.733326e-04   7.813437e-04
+  20   7.241928e-04   7.359552e-04   7.266976e-04   7.242838e-04   7.359552e-04   7.266976e-04   7.346029e-04
+  24   6.796981e-04   6.919908e-04   6.828749e-04   6.798155e-04   6.919908e-04   6.828749e-04   6.906582e-04
+  28   6.379365e-04   6.506527e-04   6.416948e-04   6.380768e-04   6.506527e-04   6.416948e-04   6.493424e-04
+  32   5.987423e-04   6.117840e-04   6.029981e-04   5.989032e-04   6.117840e-04   6.029981e-04   6.104980e-04
+
+=== NUMERIC SUMMARY ===
+ALL_HARD_CHECKS_PASS=True
+runtime_sec=0.55
+SUMMARY_LINES_BEGIN
+FIT A phi0.0000 lambda=0.0158522189 stderr=8.571672e-08 R2=1.00000000 A0=1.0000000000e-03 A32=5.9874229183e-04
+FIT B phi0.0000 lambda=0.0153991657 stderr=3.372428e-15 R2=1.00000000 A0=1.0000000000e-03 A32=6.1178402808e-04
+FIT C phi0.0000 lambda=0.0155497331 stderr=1.906424e-08 R2=1.00000000 A0=1.0000000000e-03 A32=6.0299811110e-04
+FIT A phi1.5708 lambda=0.0158419175 stderr=2.130663e-07 R2=1.00000000 A0=1.0000000000e-03 A32=5.9890316832e-04
+FIT B phi1.5708 lambda=0.0153991657 stderr=3.372390e-15 R2=1.00000000 A0=1.0000000000e-03 A32=6.1178402808e-04
+FIT C phi1.5708 lambda=0.0155497331 stderr=1.906424e-08 R2=1.00000000 A0=1.0000000000e-03 A32=6.0299811110e-04
+TRANSPOSE err=6.661338e-16 ok=True
+ANALYTIC lambda=0.0154212569
+SUMMARY_LINES_END
diff --git a/tests/validation/multigrid/shear_v0_2_evidence/stdout_horsea.txt b/tests/validation/multigrid/shear_v0_2_evidence/stdout_horsea.txt
new file mode 100644
index 0000000..3c867cd
--- /dev/null
+++ b/tests/validation/multigrid/shear_v0_2_evidence/stdout_horsea.txt
@@ -0,0 +1,93 @@
+RECORDER {"started_utc": "2026-10-13T05:02:42.804589+00:00", "cwd": "/home/frank14f/CelerisLab/tests/validation/multigrid", "parent_command": ["env", "OPENBLAS_NUM_THREADS=1", "PYTHONDONTWRITEBYTECODE=1", "PYTHONNOUSERSITE=1", "PYTHONOPTIMIZE=0", "PYTHONPATH=/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py", "/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/shear_v0_2_evidence/run_once.py"], "script_command": ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/shear_diagnostic_v0_2.py"], "environment": {"OPENBLAS_NUM_THREADS": "1", "PYTHONDONTWRITEBYTECODE": "1", "PYTHONNOUSERSITE": "1", "PYTHONOPTIMIZE": "0", "PYTHONPATH": "/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH": "/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py"}, "python_version": "3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]", "numpy_version_from_installed_metadata": "1.26.4", "platform": "Linux-6.8.0-138-generic-x86_64-with-glibc2.35", "hard_limits": {"address_space_bytes": [268435456, 268435456], "output_file_bytes": [2097152, 2097152], "core_bytes": [0, 0]}, "planned_runs": 7, "coarse_steps_per_run": 32, "attempt": 1}
+COMMAND /usr/bin/prlimit --as=268435456 --fsize=2097152 --core=0 -- /home/frank14f/anaconda3/envs/pycuda_3_10/bin/python -B /home/frank14f/CelerisLab/tests/validation/multigrid/shear_diagnostic_v0_2.py
+=== shear_diagnostic_v0.2 against CPUREF-0.3 ===
+REF_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py
+REF_SHA256=bba2a06a9f6517b32079ffff15e4060d8c3b7ed35f16ca134e1877226c9e4e1e
+API_VERSION=CPUREF-0.3
+U0=0.001 tau_c=0.8 tau_f=1.1 steps=32 nu=0.1 k=0.39269908169872414
+nu*k^2=0.01542126  (analytic decay rate)
+INIT: equilibrium of averaged velocity (NOT exact cell-avg of nonlinear feq)
+UNITS: fit/report 'steps' are coarse steps; CPUREF tick = fine step count
+  fit window coarse steps 4..32 = CPUREF ticks 8..64
+  startup coarse steps 0..3 = CPUREF ticks 0..6
+  nonmodal/e_IF/e_CB are unnormalised L2 sums over 256 coarse cells
+  (per-cell RMS = value/16); nonmodal is already /U0
+CONS_TOL=1e-12 relative to mass (~256) => abs ~2.560e-10
+
+-- running C (uniform-coarse) phi0.0000
+-- running B (uniform-fine) phi0.0000
+-- running A (composite CPUREF) phi0.0000
+-- running C (uniform-coarse) phi1.5708
+-- running B (uniform-fine) phi1.5708
+-- running A (composite CPUREF) phi1.5708
+-- running A transpose phi=1.5707963267948966
+
+=== HARD CHECKS ===
+  finite[A_phi0.0000]=True cons=True mass_drift=5.969e-13 momx_drift=1.690e-13 momy_drift=2.753e-14 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi0.0000]=True cons=True mass_drift=7.105e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[C_phi0.0000]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[A_phi1.5708]=True cons=True mass_drift=8.242e-13 momx_drift=1.033e-13 momy_drift=9.015e-14 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  finite[B_phi1.5708]=True cons=True mass_drift=6.821e-13 momx_drift=2.970e-15 momy_drift=3.553e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[C_phi1.5708]=True cons=True mass_drift=4.547e-13 momx_drift=4.607e-15 momy_drift=6.495e-15 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) 
+  finite[A_T_phi1.5708]=True cons=True mass_drift=7.105e-13 momx_drift=1.843e-14 momy_drift=6.062e-14 tol_abs=2.560e-10 (CONS_TOL*mass=1e-12*|256|) init_rho_j_mismatch_vs_coarse_formula=1.110e-16
+  transpose_ok=True max_err=6.661e-16 (tol=1.000e-15)
+  t0 amp A/B/C phi0.0000: 1.00000000e-03 1.00000000e-03 1.00000000e-03
+  t0 max|ux A-B| patch=1.084e-19  |A-C| outside=2.168e-19  |B-C| all=6.245e-17
+  t0_AB_patch_ok=True t0_AC_out_ok=True (T0_TOL=1.0e-15)  init_mismatch=1.110e-16 ok=True (INIT_TOL=1.0e-12)
+  t0 amp A/B/C phi1.5708: 1.00000000e-03 1.00000000e-03 1.00000000e-03
+  t0 max|ux A-B| patch=1.084e-19  |A-C| outside=2.168e-19  |B-C| all=6.245e-17
+  t0_AB_patch_ok=True t0_AC_out_ok=True (T0_TOL=1.0e-15)  init_mismatch=1.110e-16 ok=True (INIT_TOL=1.0e-12)
+  init_mismatch[A_T]=1.110e-16 ok=True (INIT_TOL=1.0e-12)
+  N_BOOLEAN_HARD_CHECKS=22: cons_A_T_phi1.5708,cons_A_phi0.0000,cons_A_phi1.5708,cons_B_phi0.0000,cons_B_phi1.5708,cons_C_phi0.0000,cons_C_phi1.5708,finite_A_T_phi1.5708,finite_A_phi0.0000,finite_A_phi1.5708,finite_B_phi0.0000,finite_B_phi1.5708,finite_C_phi0.0000,finite_C_phi1.5708,init_mismatch_ok_A_T_phi1.5708,init_mismatch_ok_phi0.0000,init_mismatch_ok_phi1.5708,t0_AB_patch_ok_phi0.0000,t0_AB_patch_ok_phi1.5708,t0_AC_out_ok_phi0.0000,t0_AC_out_ok_phi1.5708,transpose_ok
+
+=== DECAY FITS (coarse steps 4..32 = CPUREF ticks 8..64) ===
+  analytic lambda = nu*k^2 = 0.01542126
+  A phi0.0000: lambda=0.01585222 stderr=8.572e-08 R2=1.000000 A0=1.000000e-03 A32=5.987423e-04
+  B phi0.0000: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi0.0000: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+  DIAG s=(lambda_A-lambda_B)/(lambda_C-lambda_B) phi0.0000: s=3.0090 (lambda_C-lambda_B)=1.505674e-04
+  DIAG e_IF/e_CB step32 (unnorm L2/256cells): e_IF=1.482978e-04 e_IF_patch=7.933404e-05 e_IF_out=1.252931e-04 e_CB=9.876383e-05 ratio_IF/CB=1.5015
+  DIAG per-cell RMS (uA-uB) step32 phi0.0000: patch=9.9168e-06 (64 cells) outside=9.0422e-06 (192 cells) ratio=1.097 patch_energy_frac=0.2862 (area frac 0.25)
+  DIAG sensors step32: nonmodal(L2/U0)=2.2349e-02 max|uy|/U0=3.6890e-03 max|drho|=3.8401e-06
+  DIAG (uA-uB)_xavg(y) step32 phi0.0000: -2.032e-06 -6.024e-06 -9.820e-06 -1.332e-05 -1.222e-05 -1.167e-05 -8.270e-06 -2.980e-06 2.980e-06 8.270e-06 1.167e-05 1.222e-05 1.332e-05 9.820e-06 6.024e-06 2.032e-06
+  DIAG Pi_xy_mean step32 phi0.0000: B=-1.084202e-19 C=2.168404e-19 (composite=NaN; arrival_f proxy on uniforms)
+  A phi1.5708: lambda=0.01584192 stderr=2.131e-07 R2=1.000000 A0=1.000000e-03 A32=5.989032e-04
+  B phi1.5708: lambda=0.01539917 stderr=3.372e-15 R2=1.000000 A0=1.000000e-03 A32=6.117840e-04
+  C phi1.5708: lambda=0.01554973 stderr=1.906e-08 R2=1.000000 A0=1.000000e-03 A32=6.029981e-04
+  DIAG s=(lambda_A-lambda_B)/(lambda_C-lambda_B) phi1.5708: s=2.9406 (lambda_C-lambda_B)=1.505674e-04
+  DIAG e_IF/e_CB step32 (unnorm L2/256cells): e_IF=1.550631e-04 e_IF_patch=9.195288e-05 e_IF_out=1.248568e-04 e_CB=9.876383e-05 ratio_IF/CB=1.5700
+  DIAG per-cell RMS (uA-uB) step32 phi1.5708: patch=1.1494e-05 (64 cells) outside=9.0108e-06 (192 cells) ratio=1.276 patch_energy_frac=0.3517 (area frac 0.25)
+  DIAG sensors step32: nonmodal(L2/U0)=5.5487e-02 max|uy|/U0=5.0221e-03 max|drho|=4.3542e-06
+  DIAG (uA-uB)_xavg(y) step32 phi1.5708: -9.119e-06 -8.622e-06 -7.886e-06 -7.167e-06 -2.176e-06 6.314e-06 1.264e-05 1.601e-05 1.601e-05 1.264e-05 6.314e-06 -2.176e-06 -7.167e-06 -7.886e-06 -8.622e-06 -9.119e-06
+  DIAG Pi_xy_mean step32 phi1.5708: B=-1.084202e-19 C=2.168404e-19 (composite=NaN; arrival_f proxy on uniforms)
+
+=== PER-TICK AMPLITUDE (selected) ===
+tick           A_p0           B_p0           C_p0          A_p90          B_p90          C_p90          exact
+   0   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03   1.000000e-03
+   1   9.773722e-04   9.860853e-04   9.746265e-04   9.774280e-04   9.860853e-04   9.746265e-04   9.846970e-04
+   2   9.636011e-04   9.710270e-04   9.617788e-04   9.635461e-04   9.710270e-04   9.617788e-04   9.696283e-04
+   3   9.481499e-04   9.561886e-04   9.465229e-04   9.481500e-04   9.561886e-04   9.465229e-04   9.547901e-04
+   4   9.332807e-04   9.415768e-04   9.319786e-04   9.332641e-04   9.415768e-04   9.319786e-04   9.401790e-04
+   8   8.759254e-04   8.853290e-04   8.757728e-04   8.759360e-04   8.853290e-04   8.757728e-04   8.839365e-04
+  12   8.221055e-04   8.324412e-04   8.229603e-04   8.221445e-04   8.324412e-04   8.229603e-04   8.310585e-04
+  16   7.715978e-04   7.827129e-04   7.733326e-04   7.716635e-04   7.827129e-04   7.733326e-04   7.813437e-04
+  20   7.241928e-04   7.359552e-04   7.266976e-04   7.242838e-04   7.359552e-04   7.266976e-04   7.346029e-04
+  24   6.796981e-04   6.919908e-04   6.828749e-04   6.798155e-04   6.919908e-04   6.828749e-04   6.906582e-04
+  28   6.379365e-04   6.506527e-04   6.416948e-04   6.380768e-04   6.506527e-04   6.416948e-04   6.493424e-04
+  32   5.987423e-04   6.117840e-04   6.029981e-04   5.989032e-04   6.117840e-04   6.029981e-04   6.104980e-04
+
+=== NUMERIC SUMMARY ===
+ALL_HARD_CHECKS_PASS=True
+runtime_sec=2.07
+SUMMARY_LINES_BEGIN
+FIT A phi0.0000 lambda=0.0158522189 stderr=8.571672e-08 R2=1.00000000 A0=1.0000000000e-03 A32=5.9874229183e-04
+FIT B phi0.0000 lambda=0.0153991657 stderr=3.372428e-15 R2=1.00000000 A0=1.0000000000e-03 A32=6.1178402808e-04
+FIT C phi0.0000 lambda=0.0155497331 stderr=1.906424e-08 R2=1.00000000 A0=1.0000000000e-03 A32=6.0299811110e-04
+FIT A phi1.5708 lambda=0.0158419175 stderr=2.130663e-07 R2=1.00000000 A0=1.0000000000e-03 A32=5.9890316832e-04
+FIT B phi1.5708 lambda=0.0153991657 stderr=3.372390e-15 R2=1.00000000 A0=1.0000000000e-03 A32=6.1178402808e-04
+FIT C phi1.5708 lambda=0.0155497331 stderr=1.906424e-08 R2=1.00000000 A0=1.0000000000e-03 A32=6.0299811110e-04
+TRANSPOSE err=6.661338e-16 ok=True
+ANALYTIC lambda=0.0154212569
+SUMMARY_LINES_END
+
+RUN_RESULT {"started_utc": "2026-10-13T05:02:42.804589+00:00", "cwd": "/home/frank14f/CelerisLab/tests/validation/multigrid", "parent_command": ["env", "OPENBLAS_NUM_THREADS=1", "PYTHONDONTWRITEBYTECODE=1", "PYTHONNOUSERSITE=1", "PYTHONOPTIMIZE=0", "PYTHONPATH=/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH=/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py", "/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/shear_v0_2_evidence/run_once.py"], "script_command": ["/usr/bin/prlimit", "--as=268435456", "--fsize=2097152", "--core=0", "--", "/home/frank14f/anaconda3/envs/pycuda_3_10/bin/python", "-B", "/home/frank14f/CelerisLab/tests/validation/multigrid/shear_diagnostic_v0_2.py"], "environment": {"OPENBLAS_NUM_THREADS": "1", "PYTHONDONTWRITEBYTECODE": "1", "PYTHONNOUSERSITE": "1", "PYTHONOPTIMIZE": "0", "PYTHONPATH": "/home/frank14f/CelerisLab/tests/validation/multigrid", "CPU_REFERENCE_PATH": "/home/frank14f/CelerisLab/tests/validation/multigrid/cpu_reference.py"}, "python_version": "3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]", "numpy_version_from_installed_metadata": "1.26.4", "platform": "Linux-6.8.0-138-generic-x86_64-with-glibc2.35", "hard_limits": {"address_space_bytes": [268435456, 268435456], "output_file_bytes": [2097152, 2097152], "core_bytes": [0, 0]}, "planned_runs": 7, "coarse_steps_per_run": 32, "attempt": 1, "returncode": 0, "elapsed_seconds": 2.2370318549801596, "child_peak_rss_MiB": 37.69140625, "parent_peak_rss_MiB": 18.75, "completed_utc": "2026-10-13T05:02:45.056308+00:00"}