test: add bounded square shear orientation diagnostic

Horizontal y=56 and vertical x=38 through box 1, normal coordinates
[12.5..26.125] (root128 physical). Nearest-ACTIVE mapping with
deterministic tie rule (distance, finer level, smaller j, smaller i),
duplicate-cell rejection, stored centers and displacements. Replaces my
earlier offsets, which mapped two target pairs to the same U128 cell.
U512 spacing 128/512 and root step r -> U512 step 4r unchanged.
Tests: 24 unique cells per case, nested 3 L0 + 5 L1 + 4 L2 per transect,
U128 max displacement 0.625.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

docs/validation/taylor_green.md

@@ -159,3 +159,392 @@ theoretical stress-consistency certification or production-kernel change.
 ## Repository integration
 
 The four Python harness files remain together under tests/validation/taylor_green, so runtime provenance hashes precisely this harness directory. Formatting changes produce a new harness identity; preparation and integrated receipts must not be mixed. All analytic definitions, numerical floors, assessment gates, sample times, and source-import assertions are unchanged. Production source is unchanged from the cd3 snapshot; these periodic tests do not waive the separate channel GPU gate.
+
+## Oblique shear wave (test-only diagnostic, not GPU-qualified)
+
+`shear_wave.py` reuses the frozen oracle's constants, cell centers and
+geometry. `oracle.py` is byte-identical, and `test_shear_wave.py` pins its
+eec4677 SHA-256. `run_case.py --flow shear_wave` selects the shear wave;
+the default flow and its receipt are the unchanged Taylor–Green path.
+
+### Convention
+
+Integer mode (2,1) on the L=N periodic root domain:
+- the wavevector `k = (2*pi/L)*(2,1)` points 26.565° from +x;
+- mode (1,2) would point 63.435°, and a wrong-mode test catches a swap.
+
+Polarization is `E = (-1,2)/sqrt(5)`, perpendicular to k:
+
+    u = U*E*sin(k.x + phi)*exp(-nu*|k|^2*t),  phi = 0,  p = const,  rho0 = 1
+
+`nu = U*N/100`, the Taylor–Green Re100 viscosity at the same N. This is an
+exact incompressible Navier–Stokes solution. The initial condition is FP64
+second-order equilibrium at the actual leaf centers, with no
+non-equilibrium part.
+
+### Physical caveats
+
+1. *Scope of the cubic-term argument.* The second-order D2Q9 equilibrium
+   lacks the cubic third moment `rho*u_a*u_b*u_g` of the Maxwellian (Dellar,
+   https://people.maths.ox.ac.uk/dellar/papers/Galilean.pdf, eq. 3). At
+   Navier–Stokes order this produces a stress error proportional to
+   `d_g(rho u_a u_b u_g)`.
+
+   For the ideal constant-density, zero-background transverse wave, k.E = 0
+   makes that contracted derivative vanish. That is the only claim made.
+   It does not remove other discrete or finite-Mach errors. It is not
+   guaranteed once AMR introduces density, longitudinal or higher-mode
+   contamination. The analytic NS field itself is exact.
+2. *Startup.* Equilibrium initialization is not the discrete shear
+   eigenmode (Mei et al., https://doi.org/10.1016/j.compfluid.2005.08.008).
+   - The decay rate is a free-intercept least-squares fit of ln R over the
+     samples with t* >= 0.12, where `R = hypot(a_hat, b_hat)`.
+   - The intercept cancels only a constant amplitude prefactor, and only
+     once a single exponential dominates.
+   - Per-interval rates and the maximum log-fit residual are kept, so a
+     lingering transient stays visible.
+   - Late sampling alone does not show that transients have gone.
+
+### Metrics
+
+Computed on ACTIVE leaf cells, each weighted by its area `4**-level` in
+root-cell units. The partition must cover the domain exactly once, and one
+global pressure gauge is used.
+
+- `a_hat`, `b_hat`: weighted least-squares fit of `u.E` onto sin/cos, using
+  the 2x2 Gram matrix of the actual composite quadrature. A wrong Fourier
+  mode need not project to exactly zero on this quadrature.
+- `amplitude_error = R/A_exact - 1`.
+- `phase_drift = atan2(b_hat, a_hat)`, in radians, reported separately.
+- Rates are positive (minus the fitted slope).
+  - Per root step they are compared with `nu*|k|^2`. Uniform 2N uses its
+    own `nu = 0.0768` at N=256 and doubled step counts.
+  - In t* they are compared with `5*(2*pi)^2/Re = 1.97392088`.
+  - `rate_error = |rate/exact - 1|`.
+- `velocity_l2`, `residual_l2` (velocity left after removing the fitted
+  mode) and `longitudinal_l2` (the `u.k_hat` part), all relative to the
+  exact-field norm. A longitudinal perturbation also raises the
+  full-vector residual and the velocity L2.
+- `spurious_pressure_rms`: the raw gauged rms of `p = (rho-1)/3`.
+- `spurious_pressure_scaled`: that rms divided by `A_exact(t)^2/4`, a
+  continuum reference scale. It is *not* the discrete, globally gauged
+  Taylor–Green norm on the composite grid. Exact pressure is constant, so
+  no relative-to-exact claim is made. Max and per-level values are kept.
+
+### Preregistered screens (`shear_wave.assess`)
+
+Run set: uniform N, uniform 2N, and refined depth-2 runs at root N.
+
+- `eps(N) = (|k| h_root)^2 = 5*(2*pi/N)^2`: dimensionless, coefficient
+  one, 0.01205 at N=128. This is a chosen screen, not a proven error bound.
+- Absolute screens:
+  - rate_error, max |phase_drift| (radians) and max residual_l2 must each
+    be <= eps;
+  - velocity_l2 <= 0.05, mass <= 1e-5, spurious_pressure_scaled <= 0.02.
+- Budgets keep the `assess.py` form, `refined <= max(2*control_N, floor)`:
+  - floors are 0.002 for rate and residual, 0.02 for pressure;
+  - the comparative pressure budget is always redundant:
+    `max(2*control, 0.02)` is never below the 0.02 absolute ceiling;
+  - raw ratios to both the root and finest controls, including raw
+    pressure rms, are always reported.
+- Every record is validated before any screen is applied:
+  - exact scheduled steps and t*, with no duplicates;
+  - every numeric field finite, including list fields and density;
+  - error quantities nonnegative and rho_min > 0;
+  - signed quantities (amplitudes, `amplitude_error`, `phase_drift`,
+    per-interval rate errors) keep their sign.
+- Outcomes are kept distinct:
+  - INVALID_CONTROL: a control or refined run is missing, a control is
+    incomplete or invalid, or the records come from mixed sources;
+  - INVALID_RUN: a refined record fails validation;
+  - CONTROL_SCREEN_FAIL: complete, valid controls fail their own screens.
+    Each refined run's `own_screens_pass` is still reported, but
+    `controlled_pass` is false, so it is never a controlled-comparison pass;
+  - PASS/FAIL: every refined run's `controlled_pass` (own screens and
+    budgets against valid, passing controls).
+  - Finite modal extinction (late R = 0) is a physical failure, not
+    malformed data. The run gets `rate_fit_valid=false` with null fit
+    quantities, and its other metrics are kept. Nothing is clipped and no
+    rate is invented. The result is CONTROL_SCREEN_FAIL for a control, or
+    FAIL for a refined run.
+  - Screens are never retuned.
+
+### Limitations
+
+One flow, one phase and one rectangle, SRT only. The rectangle's vertical
+faces span 0.625 tangential periods and its horizontal faces 1.5, so this
+is not placement robustness. Two resolutions show a trend, not an order.
+
+### Receipt assessment and runner integrity
+
+- Fixed four-case N128 contract:
+  `python assess_shear_wave.py U128.json U256.json R128_constant.json R128_projected.json --output report.json --expected-revision <sha>`.
+  It reuses the shared provenance, build, workload and sample-time checks
+  from `assess_projected_pairs.py`, and adds shear metadata checks (flow,
+  mode, polarization, angle, phase, eps, limits, disabled early trace, and
+  pinned `shear_wave.py` hash).
+  - Missing, extra, duplicate or mixed-source records give `INVALID_SET`,
+    as does any failed shared check.
+  - Otherwise the result comes from `shear_wave.assess`, which separates
+    `INVALID_CONTROL` from `CONTROL_SCREEN_FAIL`.
+- `run_case.verify_source(..., flow="shear_wave")` requires the imported
+  `shear_wave.py` to be the selected harness file with the pinned
+  `SHEAR_WAVE_SHA256`. The default TG flow does not import it.
+- Sample and READY finiteness use `finite_row`, which accepts scalar and
+  list diagnostics. For TG's all-scalar rows it behaves the same as before.
+- Merge note: native 92b8afe adds a `scaled_n256` receipt block. When the
+  two are merged, keep both blocks and make `--flow shear_wave` and
+  `scaled_n256` mutually exclusive. Not merged here.
+
+### Scaled shear diagnostic (opt-in `scaled_shear_n256`)
+
+Runner: `run_case.py --flow shear_wave --diagnostic scaled_shear_n256 --re 100`
+with one of these four cases:
+- `--n 256 --depth 1` (U256)
+- `--n 512 --depth 1` (U512)
+- `--n 256 --depth 2 --explosion constant` (constant R256)
+- `--n 256 --depth 2 --explosion projected_linear` (projected R256)
+
+Everything physical is unchanged from N128:
+- `rectangles(256,2)` covers the same physical box;
+- same t* schedule (16N root steps);
+- `nu = U*N/100`;
+- same `eps(N)`, limits and floors.
+
+`scaled_n256` (Taylor–Green, from native 92b8afe) and `scaled_shear_n256`
+each require their own flow, so they are mutually exclusive. N512 is
+accepted only through one of the two diagnostics. The shear diagnostic
+takes no early-pressure trace.
+
+Assessment:
+
+    python assess_shear_wave.py U256.json U512.json R256_constant.json R256_projected.json \
+        --diagnostic scaled_shear_n256 --reference-files <four de5b0cc N128 receipts> \
+        --output report.json --expected-revision <sha>
+
+- The scaled N256/512 case, build and workload checks come from the
+  92b8afe assessor. Its TG-only diagnostic identity and early-sampling
+  checks are not used. Instead every record must carry
+  `diagnostic=scaled_shear_n256`, and N128 records must carry none.
+- The reference N128 receipts are hash-pinned to the audited de5b0cc
+  evidence (commit cba6bca). They are never relabelled as fresh controls.
+- The report always includes, for each case:
+  - the raw signed rate bias `rate/exact - 1` and the interval errors;
+  - each refined run's signed excess over *each* uniform control (rate
+    bias, residual, raw pressure rms);
+  - the N128→N256 signed changes and ratios. The ratio is null when the
+    N128 value is zero.
+- These are descriptive. Passing or failing another floor-controlled
+  screen is not the conclusion, and a two-resolution ratio is not a
+  convergence order.
+- Portability: the receipt's recomputed `eps = |k|^2` is compared within
+  4 ULPs (`close_ulps`), not by exact equality. A cross-runtime replay
+  differed by one ULP: 0.012047856934923534 on Horsea vs
+  0.012047856934923532 elsewhere. Source and file hashes, case identity,
+  the other metadata and every scientific threshold stay exact.
+
+### Nested shear preset (opt-in `nested_shear_n128`)
+
+A fixed three-level, two-region preset, defined in `shear_nested.py`. The
+wave, phase, Re100/U=0.03, initialization, five sample times, eps(root N),
+limits and floors are the same as before.
+
+- Refinements, given as parent-frame `(x0, y0, x1, y1)` rectangles on
+  level-wide, zero-origin unions:
+  - L0→L1: `(16,16,60,112)`, `(68,24,112,120)`
+  - L1→L2: `(44,44,108,212)`, `(148,60,212,228)`
+- Leaves `[7936, 12288, 86016]`, hops `[2048, 4096, 8192]`, work
+  771227648 per refined case; 3723493376 for all four cases.
+- Level ν `[.0384, .0768, .1536]`, τ `[.6152, .7304, .9608]`.
+
+Cases (`run_case.py --flow shear_wave --diagnostic nested_shear_n128 --re 100`):
+- `--n 128 --depth 1`
+- `--n 512 --depth 1` — the finest control is 4N, not 2N
+- `--n 128 --depth 3`
+- `--n 128 --depth 3 --explosion projected_linear [--final-snapshot]`
+
+`--final-snapshot` is allowed only for the projected depth-3 case. It writes
+`<output>.final_macro.npz`, containing:
+- ACTIVE leaves packed as `level`/`i`/`j`;
+- `rho`, `ux`, `uy` from the FP64 physical populations at the final root
+  synchronization;
+- embedded metadata: exact time, phase, mode and config.
+
+It contains no populations, restart state or time series. Its SHA-256 and
+size go into the receipt. A file over 8 MiB is removed and reported, never
+kept. All old paths stay scalar-only.
+
+Assessment: `assess_shear_wave.py U128.json U512.json R128c.json R128p.json
+--diagnostic nested_shear_n128 --output report.json --expected-revision <sha>`.
+- It reuses the case-agnostic provenance checks from the TG assessor, plus
+  exact nested scales, builds, patch, workload, metadata and the pinned
+  `shear_nested.py` hash.
+- The physics is `shear_wave.assess` generalized only in its depth-3 / 4N
+  shape contract; the metrics are unchanged.
+- `shear_wave.py` is byte-identical (81d5c8ee…), so historical receipt
+  identities and verdicts are untouched.
+- This preset changes placement and refined volume as well as depth. It
+  gives no isolated cost of an extra level and no resolution trend.
+
+### Depth-2 twin of the nested preset (opt-in `twin_shear_n128`)
+
+`shear_twin.py` uses the same two L0→L1 boxes as `shear_nested.py`, with no
+L2. Leaves are `[7936, 33792]`, hops `[2048, 4096]`, and work is 154664960 per
+refined case (611319808 for all four).
+
+The campaign is four fresh runs:
+`run_case.py --flow shear_wave --diagnostic twin_shear_n128 --re 100` with
+- `--n 128 --depth 1`
+- `--n 256 --depth 1` (the finest control is 2N)
+- `--n 128 --depth 2`
+- `--n 128 --depth 2 --explosion projected_linear`
+
+There is no snapshot option. Older exact controls serve only as consistency
+checks; they are not reused as references.
+
+Assessment uses the same preset contract as the nested preset, through
+`assess_shear_wave.py ... --diagnostic twin_shear_n128`:
+- the physics is the unchanged depth-2 / 2N `shear_wave.assess`;
+- receipts must pin `shear_twin.py`, `shear_nested.py` and `shear_wave.py`;
+- `shear_nested.py` stays byte-identical (fa6cfe87…), so the 335624c nested
+  receipts still validate.
+
+Labels:
+- *Twin vs nested* is the effect of adding this nested L2 refinement.
+  Removing L2 also changes the finest spacing and refined volume, so it does
+  not isolate abstract depth.
+- *Twin vs the single-box depth-2 runs* is a placement/geometry contrast at
+  equal depth.
+- Neither contrast is additive by construction.
+- The thin-band/acoustic explanation for the nested L1 pressure is a
+  hypothesis, not established.
+
+### Signed interface-probe traces (opt-in `--probe-trace`, mechanism diagnostic)
+
+`shear_probes.py` (pinned) uses native's validated 24-target layout through
+box 1, in root-128 physical coordinates:
+- a horizontal line y = 56, crossing the vertical faces x = 16 and 22;
+- a vertical line x = 38, crossing the horizontal faces y = 16 and 22;
+- normal coordinates 12.5, 14.5, 15.5, 16.25, 17.25, 19.25, 20.75, 21.75,
+  22.125, 23.125, 24.125, 26.125.
+
+Each target maps to the nearest ACTIVE leaf center. The deterministic tie
+rule is: distance, then finer level, then smaller j, then smaller i. This
+gives 24 unique cells in every case, and nested has 3 L0 + 5 L1 + 4 L2 per
+transect. Maximum displacement from target to center is 0.625 root cells in
+U128 (0.177 in U512).
+
+Allowed cases:
+- nested U128, nested U512, nested projected depth 3;
+- twin projected depth 2.
+
+The option can't be combined with `--final-snapshot`.
+
+Sampling:
+- The receipt stores each probe's leaf level, `i`/`j`, actual cell center
+  and displacement from its target, all in root-physical units (N=128).
+- Grids differ between cases, so centers are *not* collocated. Analytic
+  fields are evaluated at each actual center (`shear_probes.residuals`), and
+  comparisons across cases are between residuals at nearby but distinct
+  centers.
+- Times are root-physical steps 0–128 and 1920–2048. U512 is sampled every 4
+  lattice steps to match.
+- Each sample stores `rho`, `ux`, `uy` from the FP64 physical populations,
+  POST-collision G at root synchronization only. No substep content is
+  observed, and grid-scale alternation can alias.
+
+What's kept and enforced:
+- The five qualification samples stay unchanged.
+- No field dumps. The trace is validated for exact schedule, finiteness and
+  a 600 kB cap. If invalid it is dropped and an error is recorded, keeping
+  the scalar receipt.
+- There are no new pass gates; this is a mechanism diagnostic only.
+
+### Single x-gap-width contrast (`wide_x_shear_n128`)
+
+This opt-in admits only Re100/N128/projected depth3 with `--probe-trace`.
+The outer boxes, three grid spacings, viscosities, initialization, five main
+sample times and trace windows are unchanged. L1→L2 parent-frame rectangles
+are `[(56,44,96,212),(160,60,200,228)]`: both x-normal middle gaps widen from
+6 to 12 root cells, while y gaps remain 6. Active leaves are
+`[7936,20352,53760]`, hops `[2048,4096,8192]`, work 540,016,640 active updates.
+This also moves the L2 x faces and reduces its volume; it is not a pure
+travel-distance experiment. No new qualification matrix, assessor, threshold
+or snapshot is added. Existing scalar screens and all failures stay visible.
+
+The same 24 targets and actual-center metadata are retained. The horizontal
+probes stop before the new inner face x = 28: they do not bracket that interface
+or sample its fine side. The first 8 horizontal L0/L1 probes keep identical
+centers, and the y-normal x = 38 transect is unchanged. Their temporal residuals
+can support a descriptive timing contrast, but cannot establish a crossing
+or reflection coefficient. Changed-level probes must not be treated as
+collocated samples. `rho-1` remains raw density deviation; do not substitute
+the 24-probe mean for the global pressure gauge.
+
+### POST-G initialization counterfactual (`postg_shear_n128`)
+
+Exactly three fresh Re100 cases are admitted: U128, U512, and projected R128
+depth 3 with the original nested rectangles. Each requires `--flow shear_wave
+--diagnostic postg_shear_n128 --probe-trace`; snapshots and early-pressure mode
+are excluded. Geometry, physical velocity/density, viscosities, collisions,
+five main times and the 24 signed probes/windows are unchanged. Total work is
+2,952,265,728 active updates, with 15 main rows, 774 trace rows and five builds.
+
+Only initialization changes. At level spacing h, k_level = h k and
+A_i = 3 w_i U cos(theta) (c_i dot e) (c_i dot k_level). Initialize physical
+FP64 **POST G = feq - (tau - 1) A**, then use the existing shifted FP32 codec.
+This is the first-gradient, low-Mach Chapman-Enskog approximation, not an
+exact discrete eigenstate. The PRE coefficient is -tau; the physical viscous
+stress coefficient tau - 1/2 must not replace the raw POST-G coefficient.
+The correction has zero mass/momentum before encoding; FP32 introduces normal
+roundoff. U512 uses its native k and tau, matching nested L2 physical spacing.
+
+Receipts pin the new initializer module and identify `postg_first_gradient_v1`,
+with `qualification_eligible=false`. Existing scalar screens remain visible
+as descriptive outcomes, including failures; no new pass gate or assessor is
+introduced. Historical assessors reject the new diagnostic and initialization
+identities. Compare raw rows and signed traces with the retained equilibrium
+receipts as a startup-state counterfactual. The host first-interval pressure
+RMS reduction is not a prediction of long-time improvement, and individual
+probe errors can increase. All equilibrium paths and historical verdicts stay
+unchanged.
+
+### Short square orientation diagnostic (`axis_square_shear_n128`)
+
+Four fresh cases only: U128, U256, constant R128 and projected R128 depth 2.
+Use `--flow shear_wave --diagnostic axis_square_shear_n128 --probe-trace`.
+The supported union is `[[(32,32,96,96)]]`; a full-height periodic fine strip
+is not supported by the unchanged production geometry. All four cases use
+POST G = feq - (tau - 1) A, mode (2,0), polarization (0,1), phase pi/4,
+U=.03 and Re100. Root/fine nu are .0384/.0768 and tau are .6152/.7304.
+This first-gradient low-Mach initialization is not an exact discrete mode.
+
+Stop at root step 8: two global rows at 0/8, nine local rows at 0..8;
+U256 advances two native steps per root step. Refined leaves are [12288,16384],
+hops [8,16], work 360,448 per refined case. Four-case work is 1,900,544 ACTIVE
+updates, six build sidecars and 720 native cell-time samples. Existing runtime,
+build/source guards and receipt/trace caps apply. No snapshots or late fit.
+`screening_pass=null`, `qualification_eligible=false`: exit zero means valid
+finite completion, with no physical pass threshold or legacy assessor.
+
+Eight root-unit-cell groups (i,j): inner L/R/B/T = (32,64)/(95,63)/(64,32)/(63,95),
+outer L/R/B/T = (31,64)/(96,63)/(64,31)/(63,96). Refined inner groups contain four
+fine cells, outer groups one coarse cell; U128 uses one and U256 four per group.
+Retain raw rho/ux/uy, native indices, physical centers/areas and parity. Group
+residuals are signed means of rho-1 and rho*u-u_exact, evaluated at each actual
+center; normalization uses that group's mean analytic d(uy)/dx. Only inner
+L/B and R/T pairs have exactly opposite equal-magnitude gradients. Controls
+have their own native quadrature. Probe density is ungauged; global pressure
+RMS uses one domain gauge.
+
+Actual-table local corridors match tangentially extended straight faces beyond
+22.5 root cells. The conservative paired-map radius is 2.5 root cells per root
+step, so these selected groups through step 8 are locally straight-face
+equivalent. This is not a claim about global corner errors. For projected
+explosion with actual missing-normal-gradient fallback, the stationary
+linearized affine reference after the first complete root interval predicts
+zero conserved-moment error on vertical faces. At the
+bottom/top inner fine quartets its mean delta jx / d(uy)/dx is
+-/+ 1/(576*tau_f), with opposite adjacent-coarse redistribution.
+Keep raw values, step-zero rounding and fresh controls: sinusoidal curvature
+and finite-Mach effects prevent treating this coefficient as an exact gate.

tests/validation/taylor_green/assess_projected_pairs.py

@@ -1,6 +1,7 @@
 """New-source four-case repeat of 11901a7; frozen oracle and gates are unchanged."""
 
 import argparse
+import hashlib
 import json
 import math
 from pathlib import Path
@@ -8,16 +9,25 @@ from pathlib import Path
 from assess import BASELINE_FACTOR, FLOORS
 from oracle import LIMITS, TIMES, U, rectangles
 from run_case import (INITIALIZATION, sample_steps, NUMERICAL_REVISION, SOURCE_SHA256,
-                      BUILD_CAPTURE_SHA256, REFERENCE_HARNESS)
+                      BUILD_CAPTURE_SHA256, REFERENCE_HARNESS, SCALED_DIAGNOSTIC)
 
-# Host-generated snapshots of a135252 at the frozen two local configurations.
+# Host-generated snapshots of a135252 at the frozen local configurations.
 # These describe expected inputs; actual sidecars are captured before cleanup.
 BUILD_SOURCES = {
     128: "803177416b7599ab89cc5afd35cf4a28a673b2f4bb8e8a6a1abc0b6d77610873",
     256: "17ec5e60f87b840d3d13b8778bc8a3aecf485469c5a061af46c5cc19b73396cf",
+    512: "4e85e38098858ec95c137d1b1e96846a58d9cf3cc242b349a3ad7c8b8e3ce0aa",
 }
 CASES = ((100, 128, 1, "constant"), (100, 256, 1, "constant"),
          (100, 128, 2, "constant"), (100, 128, 2, "projected_linear"))
+REFERENCE_REVISION = "2cf9853952e52f59bea63cf5c1d3a1cd76e53eed"
+# Audited 2cf9853 scalar receipts, archived at evidence commit 90849a55cad4a0da9b72747da7bfe6eb75962a44.
+REFERENCE_RECEIPTS = {
+    "uniform128": "724efafc267eaa59dcc59e8d4c16177b67f6c6a08fd2732a481833237bb19cee",
+    "uniform256": "3c312a99ebf747a135674dd481b77455a3d2c9a406ca388f30524b37dad9bbe9",
+    "constant128": "2ee28efd1e81b2e28b7902b6c4f95bb2c1ea4e5f0ec484638fa5ae83dca34bba",
+    "projected128": "ee67b1d4d90a048c0d3d1a16447c6eab3d89c94d151f791306e373f96dd8b963",
+}
 NUMERICS = dict(lattice_model="D2Q9", collision="SRT", store_precision="FP32",
                 ddf_shifting=True, streaming="double_buffer", les_enabled=False,
                 boundary="periodic", block_shape=[8, 8],
@@ -73,7 +83,11 @@ def valid_builds(record, n, depth):
     return True
 
 
-def assess(records, expected_revision=None):
+def assess(records, expected_revision=None, *, diagnostic=None):
+    if diagnostic not in (None, SCALED_DIAGNOSTIC):
+        raise ValueError("Unknown diagnostic")
+    base_n = 256 if diagnostic else 128
+    cases = tuple((re, n * base_n // 128, depth, scheme) for re, n, depth, scheme in CASES)
     indexed, duplicates = {}, []
     for record in records:
         key = tuple(record.get(k) for k in ("re_L", "n", "depth", "explosion"))
@@ -81,9 +95,11 @@ def assess(records, expected_revision=None):
             duplicates.append(str(key))
         else:
             indexed[key] = record
-    missing = [str(k) for k in CASES if k not in indexed]
-    checks = dict(complete_matrix=not missing, no_extra_cases=set(indexed) <= set(CASES),
+    missing = [str(k) for k in cases if k not in indexed]
+    checks = dict(complete_matrix=not missing, no_extra_cases=set(indexed) <= set(cases),
                   no_duplicate_cases=not duplicates, finite_receipts=finite_tree(records))
+    if diagnostic or any("diagnostic" in r for r in records):
+        checks["diagnostic_identity"] = all(r.get("diagnostic") == diagnostic for r in records)
     sources = [r.get("source", {}) for r in records]
     checks["same_source_and_harness"] = bool(sources) and len({
         json.dumps(s, sort_keys=True) for s in sources}) == 1
@@ -106,9 +122,11 @@ def assess(records, expected_revision=None):
     ) and len(set(devices)) == 1
     enabled = [r.get("early_pressure", {}).get("enabled") for r in records]
     checks["same_early_sampling"] = bool(enabled) and all(type(v) is bool for v in enabled) and len(set(enabled)) == 1
+    if diagnostic:
+        checks["diagnostic_early_sampling"] = all(v is True for v in enabled)
     shared_valid = all(checks.values())
     complete, case_valid, early = {}, {}, []
-    for key in CASES:
+    for key in cases:
         if key not in indexed:
             continue
         r = indexed[key]
@@ -135,7 +153,7 @@ def assess(records, expected_revision=None):
             (("module", "__init__.py"), ("compiler", "cuda/compiler_v2.py"), ("kernel_root", "lbm/kernels")))
         expected_patch = [] if depth == 1 else rectangles(n, depth)
         checks[label + " patch"] = json.dumps(r.get("refinements")) == json.dumps(expected_patch)
-        cells = [n*n] if depth == 1 else [8704, 30720]
+        cells = [n*n] if depth == 1 else [17*n*n//32, 15*n*n//8]
         hops = [16*n * 2**l for l in range(depth)]
         work = r.get("workload", {})
         checks[label + " workload"] = (
@@ -168,19 +186,22 @@ def assess(records, expected_revision=None):
 
     comparisons, scheme_results = [], {}
     for scheme in ("constant", "projected_linear"):
-        key = (100, 128, 2, scheme)
+        key = (100, base_n, 2, scheme)
         for metric, floor in FLOORS.items():
-            amr, coarse, fine = (worst(k, metric) for k in (key, CASES[0], CASES[1]))
+            amr, coarse, fine = (worst(k, metric) for k in (key, cases[0], cases[1]))
             budget = None if coarse is None else max(BASELINE_FACTOR * coarse, floor)
             budget = budget if finite(budget) else None
             ratio = None if amr is None or fine is None else amr / max(fine, 1e-30)
             passed = amr is not None and budget is not None and amr <= budget
             checks[f"baseline {scheme}/{metric}"] = passed
             comparisons.append(dict(explosion=scheme, metric=metric, amr=amr,
-                                    uniform128=coarse, baseline_budget=budget, passed=passed,
-                                    uniform256=fine, amr_to_uniform256=ratio if finite(ratio) else None))
+                                    baseline_budget=budget, passed=passed,
+                                    **{f"uniform{base_n}": coarse, f"uniform{2*base_n}": fine,
+                                       f"amr_to_uniform{2*base_n}": ratio if finite(ratio) else None}))
+            if diagnostic:
+                comparisons[-1]["floor_dominates"] = None if coarse is None else floor >= BASELINE_FACTOR * coarse
         baseline_passed = all(checks[f"baseline {scheme}/{metric}"] for metric in FLOORS)
-        valid = shared_valid and all(case_valid.get(k, False) for k in (CASES[0], CASES[1], key))
+        valid = shared_valid and all(case_valid.get(k, False) for k in (cases[0], cases[1], key))
         scheme_results[scheme] = dict(passed=valid and baseline_passed,
                                      valid_case_and_controls=valid, baseline_passed=baseline_passed)
     return dict(passed=all(checks.values()), missing=missing, duplicates=duplicates, checks=checks,
@@ -190,19 +211,89 @@ def assess(records, expected_revision=None):
                 floors=FLOORS, baseline_factor=BASELINE_FACTOR,
                 main_statistic="maximum of four post-initial samples at t*=.12,.24,.36,.48",
                 early_statistic="sampled pressure maximum only, t*=k*.001875, k=0..64; not an all-step or continuous maximum",
-                finest_control="uniform256 and AMR/ uniform256 ratios are descriptive, not acceptance gates",
+                finest_control=f"uniform{2*base_n} and AMR/ uniform{2*base_n} ratios are descriptive, not acceptance gates",
                 scope="2D periodic Re100 smooth-decay diagnostic; no new algorithm, convergence-order or general AMR qualification")
 
 
+def load_reference(paths):
+    """Use the four audited historical files verbatim, never relabel them fresh controls."""
+    blobs = [path.read_bytes() for path in paths]
+    hashes = [hashlib.sha256(blob).hexdigest() for blob in blobs]
+    if len(hashes) != 4 or set(hashes) != set(REFERENCE_RECEIPTS.values()):
+        raise ValueError("Historical N128 receipt hashes differ from the audited 2cf9853 evidence")
+    return [json.loads(blob) for blob in blobs]
+
+
+def resolution_trend(records, reference, expected_revision):
+    """Signed changes are descriptive; they never replace the frozen acceptance budgets."""
+    old = assess(reference, REFERENCE_REVISION)
+    new = assess(records, expected_revision, diagnostic=SCALED_DIAGNOSTIC)
+    # Numerical screen failures still have useful raw errors; only malformed inputs block trends.
+    valid = all(v for result in (old, new) for k, v in result["checks"].items()
+                if not k.startswith("baseline ") and not k.endswith(" absolute"))
+    valid = valid and all(maximum(r["rows"], m) is not None for r in reference + records for m in LIMITS)
+    oracle = reference[0]["source"]["harness_sha256"].get("oracle.py") if valid else None
+    valid = valid and bool(oracle) and records[0]["source"]["harness_sha256"].get("oracle.py") == oracle
+    if not valid:
+        return dict(valid=False, per_time=[], worst_post_initial=[], uniform256_bridge=[])
+    key = lambda r: (r["re_L"], r["n"], r["depth"], r["explosion"])
+    before, after = {key(r): r for r in reference}, {key(r): r for r in records}
+
+    def change(role, metric, low, high, **extra):
+        ratio = high / low if low else None
+        percent = 100*(ratio-1) if ratio is not None else None
+        return dict(role=role, metric=metric, n128_campaign_error=low, n256_campaign_error=high,
+                    signed_change=high-low, new_to_old=ratio if finite(ratio) else None,
+                    ratio_unavailable_reason=None if finite(ratio) else "zero historical error" if not low else "overflow",
+                    change_percent=percent if finite(percent) else None, **extra)
+
+    per_time, worst, bridge = [], [], []
+    for old_key, role in zip(CASES, ("uniform_root", "uniform_fine", "constant", "projected_linear")):
+        re, n, depth, scheme = old_key
+        low, high = before[old_key], after[(re, 2*n, depth, scheme)]
+        for metric in LIMITS:
+            per_time.extend(change(role, metric, a[metric], b[metric], tstar=a["tstar"])
+                            for a, b in zip(low["rows"], high["rows"]))
+            worst.append(change(role, metric, maximum(low["rows"][1:], metric),
+                                maximum(high["rows"][1:], metric)))
+    for a, b in zip(before[CASES[1]]["rows"], after[CASES[1]]["rows"]):
+        bridge.extend(dict(metric=m, tstar=a["tstar"], historical=a[m], fresh=b[m], signed_change=b[m]-a[m])
+                      for m in LIMITS)
+    low, high = before[CASES[1]], after[CASES[1]]
+    bridge_identity = dict(main_rows_identical=low["rows"] == high["rows"],
+                           early_pressure_rows_identical=low["early_pressure"]["rows"] == high["early_pressure"]["rows"])
+    same_runtime = reference[0]["runtime_identity"] == records[0]["runtime_identity"]
+    return dict(valid=True, reference_revision=REFERENCE_REVISION, reference_receipt_sha256=REFERENCE_RECEIPTS,
+                reference_scheme_results=old["scheme_results"], per_time=per_time, worst_post_initial=worst,
+                uniform256_bridge=bridge, uniform256_bridge_identity=bridge_identity,
+                same_recorded_runtime=same_runtime,
+                trend_interpretation_ready=all(bridge_identity.values()) and same_runtime,
+                scope="Historical same-production/oracle reference versus fresh controls; same-placement two-resolution trend only, not convergence order or phase robustness")
+
+
 if __name__ == "__main__":
     p = argparse.ArgumentParser(description=__doc__)
     p.add_argument("files", type=Path, nargs="+")
     p.add_argument("--output", type=Path, required=True)
     p.add_argument("--expected-revision", required=True)
+    p.add_argument("--diagnostic", choices=[SCALED_DIAGNOSTIC])
+    p.add_argument("--reference-files", type=Path, nargs=4)
     args = p.parse_args()
     if args.output.exists():
         p.error("Output already exists; choose a new path to retain prior evidence")
-    result = assess([json.loads(path.read_text()) for path in args.files], args.expected_revision)
+    if bool(args.diagnostic) != bool(args.reference_files):
+        p.error("--diagnostic scaled_n256 requires --reference-files; references are diagnostic-only")
+    records = [json.loads(path.read_text()) for path in args.files]
+    result = assess(records, args.expected_revision, diagnostic=args.diagnostic)
+    if args.diagnostic:
+        try:
+            reference = load_reference(args.reference_files)
+        except ValueError as exc:
+            p.error(str(exc))
+        result["diagnostic"] = args.diagnostic
+        result["resolution_trend"] = resolution_trend(records, reference, args.expected_revision)
+        result["checks"]["valid_historical_reference_and_trend"] = result["resolution_trend"]["valid"]
+        result["passed"] = all(result["checks"].values())
     args.output.write_text(json.dumps(result, indent=2, allow_nan=False) + "\n")
     print(json.dumps(result, indent=2, allow_nan=False))
     raise SystemExit(0 if result["passed"] else 1)

tests/validation/taylor_green/assess_shear_wave.py

@@ -0,0 +1,336 @@
+"""Fixed four-case shear-wave contracts.
+
+Default: N128 (U128, U256, constant R128, projected R128). Opt-in
+--diagnostic scaled_shear_n256: N256 (U256, U512, constant R256, projected
+R256), same physical rectangle, t* schedule, nu = U N / 100, eps(N), limits
+and floors, plus a descriptive comparison with the hash-pinned N128 receipts.
+
+Shared provenance, build, workload and sample-time checks are reused from
+assess_projected_pairs (same cases, source pins and geometry); only the
+Taylor-Green-specific checks are replaced by shear-wave metadata and physics.
+"""
+
+import argparse
+import hashlib
+import json
+import math
+from pathlib import Path
+
+import assess_projected_pairs as tg
+import shear_wave as sw
+import shear_nested as nested
+import shear_twin as twin
+from run_case import (NESTED_SHEAR, SCALED_DIAGNOSTIC, SCALED_SHEAR, SHEAR_NESTED_SHA256,
+                      SHEAR_TWIN_SHA256, SHEAR_WAVE_SHA256, TWIN_SHEAR, sample_steps)
+
+# Audited de5b0cc N128 receipts (evidence commit cba6bca, shear-wave-de5b0cc zip).
+REFERENCE_REVISION = "de5b0cc080794d0ce44d37f845aa8e8dbf8c2016"
+REFERENCE_RECEIPTS = {
+    "uniform128": "d4a60fb806d04bfa8098a862cceba51e00b49979a6a250fef17a5fc8e3ea3255",
+    "uniform256": "e0b58e734724be5f82ee5d6df84395e3181b4e96e4246dd5a574ea23a8d12386",
+    "constant128": "c70d7cd14b1257a01cc49f8edfcc7685d430e5301e2f2d60ed426936f8b96c51",
+    "projected128": "980161458b9463af09a8e3178063fea0f4bbeb465329e1d3becdb0f224537b54",
+}
+ROLES = ("uniform_root", "uniform_fine", "constant", "projected_linear")
+
+SHARED = ("complete_matrix", "no_extra_cases", "no_duplicate_cases", "finite_receipts",
+          "same_source_and_harness", "clean_a135252_numerical_source",
+          "same_recorded_runtime", "same_explicit_device", "same_early_sampling")
+PER_CASE = ("complete_times", "scales", "actual_builds", "reference", "runtime_source",
+            "patch", "workload")
+
+
+METADATA_ULPS = 4
+
+
+def close_ulps(recorded, expected, ulps=METADATA_ULPS):
+    """Portable check for recomputed float metadata only (e.g. eps = |k|^2).
+
+    The recorded value comes from another runtime/libm, so exact equality can
+    fail by one ULP (observed: 0.012047856934923534 Horsea vs ...532 here).
+    A few ULPs is far below any meaningful change; hashes, case identity and
+    scientific thresholds stay exact.
+    """
+    return (isinstance(recorded, float) and math.isfinite(recorded)
+            and abs(recorded - expected) <= ulps * math.ulp(max(abs(recorded), abs(expected))))
+
+
+def metadata_ok(record, n):
+    return (record.get("flow") == "shear_wave" and record.get("mode") == list(sw.MODE)
+            and record.get("polarization") == sw.E.tolist()
+            and record.get("angle_deg") == sw.ANGLE_DEG and record.get("phase") == sw.PHI
+            and close_ulps(record.get("eps"), sw.eps(n))
+            and record.get("numerics") == tg.NUMERICS
+            and record.get("initialization") == sw.INITIALIZATION
+            and record.get("limits") == sw.LIMITS
+            and record.get("early_pressure") == dict(enabled=False, rows=[],
+                                                     sampled_max_pressure_l2=None)
+            and (record.get("source") or {}).get("shear_wave_sha256") == SHEAR_WAVE_SHA256)
+
+
+def cases_for(scaled):
+    factor = 2 if scaled else 1
+    return tuple((re, n * factor, depth, scheme) for re, n, depth, scheme in tg.CASES)
+
+
+def assess(records, expected_revision=None, *, scaled=False):
+    if not isinstance(records, list) or not all(isinstance(r, dict) for r in records):
+        raise ValueError("records must be a list of receipt objects")
+    # The scaled TG assessor supplies N256/512 cases, builds and workload; its
+    # TG-only diagnostic identity and early-sampling checks are not used here.
+    base_checks = tg.assess(records, expected_revision,
+                            diagnostic=SCALED_DIAGNOSTIC if scaled else None)["checks"]
+    checks = {name: base_checks.get(name, False) for name in SHARED}
+    checks["shear_diagnostic_identity"] = all(
+        r.get("diagnostic") == (SCALED_SHEAR if scaled else None) for r in records)
+    cases = cases_for(scaled)
+    indexed = {}
+    for r in records:
+        indexed.setdefault(tuple(r.get(k) for k in ("re_L", "n", "depth", "explosion")), r)
+    for key in cases:
+        _, n, depth, scheme = key
+        label = f"{n}/{depth}/{scheme}"
+        for name in PER_CASE:
+            checks[f"{label} {name}"] = base_checks.get(f"{label} {name}", False)
+        checks[f"{label} shear_metadata"] = key in indexed and metadata_ok(indexed[key], n)
+    contract_valid = all(checks.values())
+    result = dict(checks=checks, contract_valid=contract_valid,
+                  cases=[list(k) for k in cases], expected_revision=expected_revision,
+                  diagnostic=SCALED_SHEAR if scaled else None,
+                  scope="2D periodic Re100 oblique (2,1) shear wave; one phase and one "
+                        "rectangle; no placement robustness or convergence order")
+    if not contract_valid:
+        result.update(status="INVALID_SET", passed=False)
+        return result
+    try:
+        physics = sw.assess(indexed[cases[0]], indexed[cases[1]],
+                            [indexed[cases[2]], indexed[cases[3]]])
+    except (KeyError, ValueError) as error:
+        result.update(status="INVALID_SET", passed=False, reason=str(error))
+        return result
+    result.update(physics=physics, status=physics["status"],
+                  passed=physics["status"] == "PASS")
+    try:
+        result["signed"] = signed_summary([indexed[k] for k in cases])
+    except (KeyError, TypeError, ValueError) as error:
+        result["signed_unavailable"] = str(error)
+    return result
+
+
+CASE_AGNOSTIC = ("finite_receipts", "same_source_and_harness", "clean_a135252_numerical_source",
+                 "same_recorded_runtime", "same_explicit_device", "same_early_sampling")
+
+
+# Fixed multi-box presets sharing one contract; only geometry, controls, pins differ.
+PRESETS = {
+    NESTED_SHEAR: dict(
+        module=nested, physics=nested.assess, snapshot=True,
+        pins={"shear_nested_sha256": SHEAR_NESTED_SHA256},
+        finest_control="uniform 4N (U512)",
+        scope="2D periodic Re100 oblique (2,1) shear wave; fixed three-level/two-region "
+              "placement; changes placement and refined volume as well as depth, so no "
+              "isolated-level cost or resolution trend"),
+    TWIN_SHEAR: dict(
+        module=twin, physics=sw.assess, snapshot=False,
+        pins={"shear_nested_sha256": SHEAR_NESTED_SHA256,
+              "shear_twin_sha256": SHEAR_TWIN_SHA256},
+        finest_control="uniform 2N (U256)",
+        scope="2D periodic Re100 oblique (2,1) shear wave; depth-2 twin of the nested "
+              "preset (same two L0->L1 boxes, no L2). Twin vs nested is the effect of adding "
+              "this nested refinement; it also changes finest spacing and refined volume, so it "
+              "does not isolate abstract depth"),
+}
+
+
+def _nested_case_ok(r, n, depth, diagnostic=NESTED_SHEAR):
+    """Per-case identity of a fixed multi-box preset (scales, builds, patch, work, pins)."""
+    preset = PRESETS[diagnostic]
+    geometry = preset["module"]
+    runtime = r.get("runtime_source", {})
+    package = Path(runtime.get("checkout", "")) / "src/CelerisLab"
+    cells = [n * n] if depth == 1 else geometry.LEAVES
+    hops = [16 * n * 2**level for level in range(depth)]
+    work = r.get("workload", {})
+    snapshot = r.get("final_snapshot")
+    expected_patch = [] if depth == 1 else geometry.REFINEMENTS
+    return {
+        "complete_times": r.get("completed") is True and tg.at_steps(
+            r.get("rows", []), sample_steps(n)[0], n),
+        "scales": (r.get("U") == sw.U and tg.finite(r.get("viscosity"))
+                   and abs(r["viscosity"] - sw.U * n / 100) < 1e-15
+                   and r.get("tau_by_level") == [0.5 + 3 * sw.U * n / 100 * 2**l
+                                                 for l in range(depth)]
+                   and r.get("mach") == sw.U * math.sqrt(3)),
+        "actual_builds": tg.valid_builds(r, n, depth),
+        "reference": (r.get("numerical_revision") == tg.NUMERICAL_REVISION
+                      and r.get("reference_harness") == tg.REFERENCE_HARNESS),
+        "runtime_source": bool(runtime.get("checkout")) and all(
+            runtime.get(k) == str(package / tail) for k, tail in
+            (("module", "__init__.py"), ("compiler", "cuda/compiler_v2.py"),
+             ("kernel_root", "lbm/kernels"))),
+        "patch": json.dumps(r.get("refinements")) == json.dumps(expected_patch),
+        "workload": (work.get("active_cells_by_level") == cells and work.get("level_hops") == hops
+                     and work.get("root_intervals") == 16 * n
+                     and work.get("active_collision_updates_by_level") == [
+                         c * h for c, h in zip(cells, hops)]
+                     and work.get("active_collision_updates") == sum(
+                         c * h for c, h in zip(cells, hops))),
+        "shear_metadata": metadata_ok(r, n),
+        "nested_module_pin": all((r.get("source") or {}).get(key) == pin
+                                 for key, pin in preset["pins"].items()),
+        # Optional, nested projected depth-3 only; bounded and hashed when present.
+        "snapshot": snapshot is None or (
+            preset["snapshot"] and depth == nested.DEPTH and r.get("explosion") == "projected_linear"
+            and snapshot.get("kept") is True and isinstance(snapshot.get("sha256"), str)
+            and len(snapshot["sha256"]) == 64
+            and 0 < snapshot.get("bytes", 0) <= nested.SNAPSHOT_MAX_BYTES
+            and snapshot.get("leaf_counts") == nested.LEAVES
+            and snapshot.get("step") == sample_steps(n)[0][-1]),
+    }
+
+
+def assess_nested(records, expected_revision=None, diagnostic=NESTED_SHEAR):
+    """Fixed four-case preset contract: nested_shear_n128 (U128, U512, constant/projected
+    R128 depth 3) or twin_shear_n128 (U128, U256, constant/projected R128 depth 2)."""
+    preset = PRESETS[diagnostic]
+    geometry = preset["module"]
+    if not isinstance(records, list) or not all(isinstance(r, dict) for r in records):
+        raise ValueError("records must be a list of receipt objects")
+    base_checks = tg.assess(records, expected_revision)["checks"]
+    checks = {name: base_checks.get(name, False) for name in CASE_AGNOSTIC}
+    indexed, duplicates = {}, []
+    for r in records:
+        key = tuple(r.get(k) for k in ("re_L", "n", "depth", "explosion"))
+        (duplicates.append(key) if key in indexed else indexed.__setitem__(key, r))
+    checks.update(complete_matrix=all(k in indexed for k in geometry.CASES),
+                  no_extra_cases=set(indexed) <= set(geometry.CASES),
+                  no_duplicate_cases=not duplicates,
+                  shear_diagnostic_identity=all(r.get("diagnostic") == diagnostic
+                                                for r in records))
+    for key in geometry.CASES:
+        _, n, depth, scheme = key
+        label = f"{n}/{depth}/{scheme}"
+        case = _nested_case_ok(indexed[key], n, depth, diagnostic) if key in indexed else {}
+        for name in ("complete_times", "scales", "actual_builds", "reference", "runtime_source",
+                     "patch", "workload", "shear_metadata", "nested_module_pin", "snapshot"):
+            checks[f"{label} {name}"] = bool(case.get(name, False))
+    contract_valid = all(checks.values())
+    result = dict(checks=checks, contract_valid=contract_valid, diagnostic=diagnostic,
+                  cases=[list(k) for k in geometry.CASES], expected_revision=expected_revision,
+                  finest_control=preset["finest_control"], scope=preset["scope"])
+    if not contract_valid:
+        result.update(status="INVALID_SET", passed=False)
+        return result
+    try:
+        cases = geometry.CASES
+        physics = preset["physics"](indexed[cases[0]], indexed[cases[1]],
+                                    [indexed[cases[2]], indexed[cases[3]]])
+    except (KeyError, ValueError) as error:
+        result.update(status="INVALID_SET", passed=False, reason=str(error))
+        return result
+    result.update(physics=physics, status=physics["status"], passed=physics["status"] == "PASS")
+    try:
+        # Role "uniform_fine" is the preset's finest control (4N nested, 2N twin).
+        result["signed"] = signed_summary([indexed[k] for k in geometry.CASES])
+    except (KeyError, TypeError, ValueError) as error:
+        result["signed_unavailable"] = str(error)
+    return result
+
+
+def _signed(record):
+    """Raw signed quantities of one valid record (None when the fit is unavailable)."""
+    s = sw.summarize(record)
+    bias = None if not s["rate_fit_valid"] else s["rate"] / s["exact_rate"] - 1
+    return dict(n=record["n"], depth=record["depth"], explosion=record["explosion"],
+                rate_fit_valid=s["rate_fit_valid"], signed_rate_bias=bias,
+                rate_tstar=s["rate_tstar"], exact_rate_tstar=s["exact_rate_tstar"],
+                interval_rate_errors=s["interval_rate_errors"],
+                residual_l2=s["residual_l2"], spurious_pressure_scaled=s["spurious_pressure_scaled"],
+                spurious_pressure_rms=s["spurious_pressure_rms"],
+                final_amplitude_error=record["rows"][-1]["amplitude_error"])
+
+
+def signed_summary(records):
+    """Signed bias per case and refined excess over each uniform control."""
+    rows = dict(zip(ROLES, (_signed(r) for r in records)))
+
+    def minus(a, b):
+        return None if a is None or b is None else a - b
+
+    for role in ("constant", "projected_linear"):
+        for control in ("uniform_root", "uniform_fine"):
+            rows[role][f"excess_over_{control}"] = {
+                key: minus(rows[role][key], rows[control][key])
+                for key in ("signed_rate_bias", "residual_l2", "spurious_pressure_rms")}
+    return rows
+
+
+def load_reference(paths):
+    """The four audited N128 receipts verbatim; never relabelled as fresh controls."""
+    blobs = [Path(path).read_bytes() for path in paths]
+    hashes = {hashlib.sha256(blob).hexdigest() for blob in blobs}
+    if len(blobs) != 4 or hashes != set(REFERENCE_RECEIPTS.values()):
+        raise ValueError("N128 receipt hashes differ from the audited de5b0cc evidence")
+    return [json.loads(blob) for blob in blobs]
+
+
+def resolution_trend(new_result, reference, reference_revision=REFERENCE_REVISION):
+    """Descriptive N128 -> N256 signed changes; never an acceptance gate or an order."""
+    old_result = assess(reference, reference_revision)
+    if "signed" not in old_result or "signed" not in new_result:
+        return dict(valid=False, reason="N128 reference or N256 set lacks a valid signed summary")
+    out = {}
+    for role in ROLES:
+        old, new = old_result["signed"][role], new_result["signed"][role]
+        out[role] = {}
+        for key in ("signed_rate_bias", "residual_l2", "spurious_pressure_rms",
+                    *(f"excess_over_{c}" for c in ("uniform_root", "uniform_fine"))):
+            if key not in old:
+                continue
+            pairs = old[key].items() if isinstance(old[key], dict) else [(None, old[key])]
+            for sub, low in pairs:
+                high = new[key][sub] if sub else new[key]
+                ok = low is not None and high is not None
+                out[role][key if sub is None else f"{key}.{sub}"] = dict(
+                    n128=low, n256=high, signed_change=high - low if ok else None,
+                    n256_to_n128=high / low if ok and low else None)
+    return dict(valid=True, reference_revision=reference_revision,
+                reference_receipt_sha256=REFERENCE_RECEIPTS,
+                reference_status=old_result["status"], changes=out,
+                scope="same-placement two-resolution trend; not a convergence order, "
+                      "placement robustness or redesign decision")
+
+
+if __name__ == "__main__":
+    p = argparse.ArgumentParser(description=__doc__)
+    p.add_argument("files", type=Path, nargs=4)
+    p.add_argument("--output", type=Path, required=True)
+    p.add_argument("--expected-revision", required=True)
+    p.add_argument("--diagnostic", choices=[SCALED_SHEAR, NESTED_SHEAR, TWIN_SHEAR])
+    p.add_argument("--reference-files", type=Path, nargs=4)
+    args = p.parse_args()
+    if args.output.exists():
+        p.error("Output already exists; choose a new path to retain prior evidence")
+    if args.diagnostic in PRESETS:
+        if args.reference_files:
+            p.error(f"{args.diagnostic} takes no reference files (no resolution trend)")
+        result = assess_nested([json.loads(path.read_text()) for path in args.files],
+                               args.expected_revision, args.diagnostic)
+        text = json.dumps(result, indent=2, allow_nan=False) + "\n"
+        args.output.write_text(text)
+        print(text, end="")
+        raise SystemExit(0 if result["passed"] else 1)
+    if bool(args.diagnostic) != bool(args.reference_files):
+        p.error("--diagnostic scaled_shear_n256 requires --reference-files (N128 receipts)")
+    result = assess([json.loads(path.read_text()) for path in args.files], args.expected_revision,
+                    scaled=bool(args.diagnostic))
+    if args.diagnostic:
+        try:
+            reference = load_reference(args.reference_files)
+        except ValueError as exc:
+            p.error(str(exc))
+        result["resolution_trend"] = resolution_trend(result, reference)
+    text = json.dumps(result, indent=2, allow_nan=False) + "\n"
+    args.output.write_text(text)
+    print(text, end="")
+    raise SystemExit(0 if result["passed"] else 1)

tests/validation/taylor_green/run_case.py

@@ -18,6 +18,43 @@ SOURCE_SHA256 = "a5dbfd804befce868067d79a23e5fd47dce7f505b3f9b1bb2145fb57cb5f217
 BUILD_CAPTURE_SHA256 = "3dbaa6547cb0a4cb1541054f3b64ad8b6e18cc70527ac6166e56b944e9bd464a"
 REFERENCE_HARNESS = "11901a7f77557a901e017a171eeae1758d584fa5"
 INITIALIZATION = "physical FP64 equilibrium G at actual cell centers; rho=1+3p"
+SHEAR_WAVE_SHA256 = "81d5c8ee60864372887cddf9239580c82fb6750d956038f1e3ee9de61aa4e877"
+SCALED_DIAGNOSTIC = "scaled_n256"
+SCALED_SHEAR = "scaled_shear_n256"  # mutually exclusive with scaled_n256 (one flow each)
+NESTED_SHEAR = "nested_shear_n128"  # fixed three-level/two-region shear preset
+SHEAR_NESTED_SHA256 = "fa6cfe87fb4df8c6d732c637c885276833c81973b950c7724d734f8fc350bcb0"
+TWIN_SHEAR = "twin_shear_n128"  # depth-2 twin: nested L0->L1 boxes without L2
+SHEAR_TWIN_SHA256 = "1cbf37f18e89aea577581631c4565f51e68d22a3739b698816ef64acbf2b2bb4"
+WIDE_X_SHEAR = "wide_x_shear_n128"  # one projected x-gap-width contrast
+SHEAR_WIDE_X_SHA256 = "13d16ba355117e2d074edccd9dc5d694c2fc13c673a0abdfca6401f6ed917733"
+AXIS_SQUARE = "axis_square_shear_n128"  # short four-face orientation diagnostic
+SHEAR_AXIS_SQUARE_SHA256 = "0baffa6eb99c268ce998d90300c993d45bb3b7b27c524b636874d75808bd0a8c"
+POSTG_SHEAR = "postg_shear_n128"  # initialization-only three-case counterfactual
+SHEAR_POSTG_SHA256 = "9c909fa013c092490ee21532e3125b2a78a4c5102c7a1bdc0e76986d3f0ef903"
+SHEAR_PROBES_SHA256 = "e2e6490d281cc275f448dc6d6ea7b9b4407cc74a51e9256b86c08c8626b89b76"  # signed interface-probe mechanism diagnostic
+
+
+def flow_functions(flow="taylor_green"):
+    """(initial, metrics, limits, initialization); the default is the frozen TG oracle."""
+    if flow == "taylor_green":
+        return initial, metrics, LIMITS, INITIALIZATION
+    if flow == "shear_wave":
+        import shear_wave
+        return shear_wave.initial, shear_wave.metrics, shear_wave.LIMITS, shear_wave.INITIALIZATION
+    raise ValueError(f"unknown flow {flow!r}")
+
+
+def finite_row(row):
+    """Every scalar or list-valued diagnostic is finite (TG rows are all scalars)."""
+    return all(np.isfinite(np.asarray(value, dtype=float)).all() for value in row.values())
+
+
+def sample(run, masks, step, n, viscosity, initial_mass, metrics, depth, label="sample"):
+    arrays = (run.download(),) if depth == 1 else run.download()
+    row = metrics(arrays, masks, step, n, viscosity, initial_mass)
+    if not finite_row(row):
+        raise FloatingPointError(f"nonfinite {label} diagnostics")
+    return row
 
 
 def sample_steps(n, early_pressure=False):
@@ -64,7 +101,7 @@ def provenance(repo):
     )
 
 
-def verify_source(repo, revision):
+def verify_source(repo, revision, flow="taylor_green", probes=False):
     """Exact clean harness commit, fixed production tree, and reviewed capture helper."""
     import oracle
     from tests.validation.multigrid import check_projected_pairs as gate
@@ -83,6 +120,55 @@ def verify_source(repo, revision):
     if result["source_tree_sha256"] != SOURCE_SHA256:
         raise RuntimeError("Wrong numerical source fingerprint")
     result["build_capture_sha256"] = BUILD_CAPTURE_SHA256
+    if probes:
+        import shear_probes
+        module = harness / "shear_probes.py"
+        if (Path(shear_probes.__file__).resolve() != module
+                or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_PROBES_SHA256):
+            raise RuntimeError("Wrong shear_probes module checkout or content")
+        result["shear_probes_sha256"] = SHEAR_PROBES_SHA256
+    if flow == "shear_axis_square":
+        import shear_axis_square
+        module = harness / "shear_axis_square.py"
+        if (Path(shear_axis_square.__file__).resolve() != module
+                or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_AXIS_SQUARE_SHA256):
+            raise RuntimeError("Wrong shear_axis_square module checkout or content")
+        result["shear_axis_square_sha256"] = SHEAR_AXIS_SQUARE_SHA256
+    if flow == "shear_postg":
+        import shear_postg
+        module = harness / "shear_postg.py"
+        if (Path(shear_postg.__file__).resolve() != module
+                or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_POSTG_SHA256):
+            raise RuntimeError("Wrong shear_postg module checkout or content")
+        result["shear_postg_sha256"] = SHEAR_POSTG_SHA256
+    if flow == "shear_wide_x":
+        import shear_wide_x
+        module = harness / "shear_wide_x.py"
+        if (Path(shear_wide_x.__file__).resolve() != module
+                or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_WIDE_X_SHA256):
+            raise RuntimeError("Wrong shear_wide_x module checkout or content")
+        result["shear_wide_x_sha256"] = SHEAR_WIDE_X_SHA256
+    if flow == "shear_twin":
+        import shear_twin
+        module = harness / "shear_twin.py"
+        if (Path(shear_twin.__file__).resolve() != module
+                or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_TWIN_SHA256):
+            raise RuntimeError("Wrong shear_twin module checkout or content")
+        result["shear_twin_sha256"] = SHEAR_TWIN_SHA256
+    if flow in ("shear_nested", "shear_twin", "shear_wide_x", "shear_postg"):
+        import shear_nested
+        module = harness / "shear_nested.py"
+        if (Path(shear_nested.__file__).resolve() != module
+                or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_NESTED_SHA256):
+            raise RuntimeError("Wrong shear_nested module checkout or content")
+        result["shear_nested_sha256"] = SHEAR_NESTED_SHA256
+    if flow in ("shear_wave", "shear_nested", "shear_twin", "shear_wide_x", "shear_postg", "shear_axis_square"):
+        import shear_wave
+        module = harness / "shear_wave.py"
+        if (Path(shear_wave.__file__).resolve() != module
+                or hashlib.sha256(module.read_bytes()).hexdigest() != SHEAR_WAVE_SHA256):
+            raise RuntimeError("Wrong shear_wave module checkout or content")
+        result["shear_wave_sha256"] = SHEAR_WAVE_SHA256
     return result
 
 
@@ -145,26 +231,107 @@ def main():
     p.add_argument("--run-gpu", action="store_true")
     p.add_argument("--dry-run", action="store_true")
     p.add_argument("--re", type=int, choices=[100, 1000], required=True)
-    p.add_argument("--n", type=int, choices=[32, 64, 128, 256], required=True)
+    p.add_argument("--n", type=int, choices=[32, 64, 128, 256, 512], required=True)
     p.add_argument("--depth", type=int, choices=[1, 2, 3], required=True)
     p.add_argument("--output", type=Path, required=True)
     p.add_argument("--explosion", choices=["constant", "projected_linear"], default="constant")
+    p.add_argument("--diagnostic",
+                   choices=[SCALED_DIAGNOSTIC, SCALED_SHEAR, NESTED_SHEAR, TWIN_SHEAR,
+                            WIDE_X_SHEAR, POSTG_SHEAR, AXIS_SQUARE],
+                   help="explicit four-case N256/fine512 same-placement diagnostic "
+                        "(scaled_n256: Taylor-Green; scaled_shear_n256: shear wave) or the "
+                        "fixed three-level/two-region shear preset (nested_shear_n128) "
+                        "or its depth-2 twin (twin_shear_n128), or the single projected "
+                        "x-gap-width contrast (wide_x_shear_n128), or three-case POST-G "
+                        "initialization counterfactual (postg_shear_n128), or short square "
+                        "orientation diagnostic (axis_square_shear_n128)")
+    p.add_argument("--probe-trace", action="store_true",
+                   help="signed interface-probe trace (nested U128/U512/projected d3, "
+                        "twin projected d2, wide-x projected d3, POST-G three-case set, "
+                        "axis-square four-case set); "
+                        "mechanism diagnostic, no gates")
+    p.add_argument("--final-snapshot", action="store_true",
+                   help="nested_shear_n128 projected depth-3 only: final macro snapshot")
     p.add_argument("--early-pressure", action="store_true",
                    help="also save 65 scalar pressure samples at t*=k*.001875, k=0..64")
+    p.add_argument("--flow", choices=["taylor_green", "shear_wave"], default="taylor_green")
     args = p.parse_args()
+    axis_square = args.diagnostic == AXIS_SQUARE
+    nested = args.diagnostic == NESTED_SHEAR
+    wide_x = args.diagnostic == WIDE_X_SHEAR
+    postg = args.diagnostic == POSTG_SHEAR
+    if (wide_x or postg or axis_square) and not args.probe_trace:
+        p.error(f"{args.diagnostic} requires --probe-trace")
+    if args.flow == "shear_wave" and (args.re != 100 or (args.depth == 3 and not (nested or wide_x or postg))
+                                      or args.early_pressure):
+        p.error("shear_wave requires --re 100, depth 1 or 2 and no --early-pressure")
+    probe_cases = {(NESTED_SHEAR, 128, 1, "constant"), (NESTED_SHEAR, 512, 1, "constant"),
+                   (NESTED_SHEAR, 128, 3, "projected_linear"),
+                   (TWIN_SHEAR, 128, 2, "projected_linear"),
+                   (WIDE_X_SHEAR, 128, 3, "projected_linear"),
+                   (POSTG_SHEAR, 128, 1, "constant"), (POSTG_SHEAR, 512, 1, "constant"),
+                   (POSTG_SHEAR, 128, 3, "projected_linear")}
+    if axis_square:
+        import shear_axis_square
+        probe_cases.update((AXIS_SQUARE, n, depth, scheme)
+                           for _, n, depth, scheme in shear_axis_square.CASES)
+    if args.probe_trace and (args.final_snapshot or (
+            args.diagnostic, args.n, args.depth, args.explosion) not in probe_cases):
+        p.error("--probe-trace requires a fixed nested, twin, wide-x, POST-G or axis-square case, "
+                "without --final-snapshot")
+    if args.final_snapshot and not (nested and args.depth == 3
+                                    and args.explosion == "projected_linear"):
+        p.error("--final-snapshot requires nested_shear_n128 projected depth 3")
+    initial, metrics, limits, initialization = flow_functions(args.flow)
     if args.output.exists():
         p.error("Output already exists; choose a new path to retain prior evidence")
-    if args.explosion != "constant" and args.depth != 2:
+    if args.explosion != "constant" and args.depth != 2 and not (nested or wide_x or postg):
         p.error("projected_linear requires depth 2")
+    twin = args.diagnostic == TWIN_SHEAR
+    if axis_square:
+        preset = shear_axis_square
+        if args.flow != "shear_wave" or (args.re, args.n, args.depth, args.explosion) not in preset.CASES:
+            p.error("axis_square_shear_n128 requires one of its four Re100 shear cases")
+        initial, metrics, limits, initialization = preset.initial, preset.metrics, {}, preset.INITIALIZATION
+    elif nested or twin or wide_x or postg:
+        import shear_nested
+        import shear_twin
+        import shear_wide_x
+        preset = shear_wide_x if wide_x else shear_nested if nested else shear_twin
+        if postg:
+            import shear_postg
+            preset = shear_postg
+            initial, initialization = preset.initial, preset.INITIALIZATION
+        if args.flow != "shear_wave":
+            p.error(f"--diagnostic {args.diagnostic} requires --flow shear_wave")
+        if (args.re, args.n, args.depth, args.explosion) not in preset.CASES:
+            p.error(f"{args.diagnostic} requires one of its fixed Re100 cases")
+    elif args.diagnostic:
+        cases = {(256, 1, "constant"), (512, 1, "constant"),
+                 (256, 2, "constant"), (256, 2, "projected_linear")}
+        flow = "shear_wave" if args.diagnostic == SCALED_SHEAR else "taylor_green"
+        if args.flow != flow:
+            p.error(f"--diagnostic {args.diagnostic} requires --flow {flow}")
+        if args.diagnostic == SCALED_DIAGNOSTIC and (
+                args.re != 100 or (args.n, args.depth, args.explosion) not in cases
+                or not args.early_pressure):
+            p.error("scaled_n256 requires one of its four Re100 cases and --early-pressure")
+        if args.diagnostic == SCALED_SHEAR and (args.n, args.depth, args.explosion) not in cases:
+            p.error("scaled_shear_n256 requires one of its four Re100 cases")
+    elif args.n == 512:
+        p.error("N512 requires --diagnostic scaled_n256, scaled_shear_n256 or nested_shear_n128")
     selected = os.environ.get("CUDA_VISIBLE_DEVICES", "")
     if not args.dry_run and (not args.run_gpu or not selected or "," in selected or selected == "-1"):
         p.error("--run-gpu and exactly one explicit CUDA_VISIBLE_DEVICES are required")
     repo = args.repo.resolve()
     sys.path[:0] = [str(repo / "src"), str(repo)]
-    source = verify_source(repo, args.expected_revision)
+    source_flow = ("shear_axis_square" if axis_square else "shear_postg" if postg else "shear_wide_x" if wide_x else "shear_nested" if nested
+                   else "shear_twin" if twin else args.flow)
+    source = verify_source(repo, args.expected_revision, source_flow, probes=args.probe_trace)
     runtime = runtime_source(repo)
     if args.dry_run:
-        print(json.dumps(dict(source=source, runtime_source=runtime, dry_run=True)))
+        print(json.dumps(dict(source=source, runtime_source=runtime, dry_run=True,
+                              **({"diagnostic": args.diagnostic} if args.diagnostic else {}))))
         return 0
     from CelerisLab.cuda.context import CudaContext
     from CelerisLab.lbm.blocks import BlockLayout2D
@@ -174,11 +341,18 @@ def main():
     from CelerisLab.lbm.hierarchy import build_hierarchy, leaf_partition
 
     cfg = config(args.n, args.re)
-    refinements = [] if args.depth == 1 else rectangles(args.n, args.depth)
+    if args.depth == 1:
+        refinements = []
+    elif nested or twin or wide_x or postg or axis_square:
+        refinements = [list(level) for level in preset.REFINEMENTS]
+    else:
+        refinements = rectangles(args.n, args.depth)
     h = build_hierarchy(cfg, refinements)
     np.testing.assert_array_equal(leaf_partition(h), np.ones((args.n, args.n)))
     masks = [k == ACTIVE for k in h.kinds]
     main_steps, early_steps = sample_steps(args.n, args.early_pressure)
+    if axis_square:
+        main_steps = [0, preset.case_steps(args.n)[-1]]
     report = dict(
         schema=1,
         source=source,
@@ -197,7 +371,7 @@ def main():
         mach=U * np.sqrt(3),
         viscosity=cfg.viscosity,
         tau_by_level=[0.5 + 3 * c.viscosity for c in h.configs],
-        initialization=INITIALIZATION,
+        initialization=initialization,
         numerics=dict(lattice_model=cfg.lattice_model, collision=cfg.collision,
                       store_precision=cfg.store_precision, ddf_shifting=cfg.ddf_shifting,
                       streaming=cfg.streaming, les_enabled=cfg.les_enabled,
@@ -205,13 +379,28 @@ def main():
                       sample_phase="postcollision G at root synchronization"),
         cuda_visible_devices=selected,
         device_id=0,
-        limits=LIMITS,
-        workload=workload(masks, round(TIMES[-1] * args.n / U)),
+        limits=limits,
+        workload=workload(masks, main_steps[-1]),
         rows=[],
         early_pressure=dict(enabled=args.early_pressure, rows=[],
                             sampled_max_pressure_l2=None),
         completed=False,
     )
+    if args.flow != "taylor_green":
+        import shear_wave
+        wave = preset if axis_square else shear_wave
+        report.update(flow=args.flow, mode=list(wave.MODE),
+                      polarization=wave.E.tolist(), angle_deg=wave.ANGLE_DEG,
+                      phase=wave.PHI, eps=wave.eps(args.n))
+    if args.diagnostic:
+        report["diagnostic"] = args.diagnostic
+    if postg:
+        report.update(initialization_id=preset.INITIALIZATION_ID, qualification_eligible=False,
+                      screening_scope="descriptive scalar screens only; no qualification assessor")
+    if axis_square:
+        report.update(initialization_id=preset.INITIALIZATION_ID, qualification_eligible=False,
+                      reference_harness=None, historical_baseline_revision=None,
+                      screening_scope="no numerical gates; short orientation diagnostic")
     args.output.parent.mkdir(parents=True, exist_ok=True)
     def save():
         temporary = args.output.with_suffix(args.output.suffix + ".tmp")
@@ -246,17 +435,46 @@ def main():
                 ]
             )
             initial_mass = None
-            for step in sorted(set(main_steps + early_steps)):
+            probe_steps = set()
+            if args.probe_trace:
+                import shear_probes
+                if axis_square:
+                    shear_probes = preset
+                probe_root = dict(zip(shear_probes.case_steps(args.n), shear_probes.STEPS))
+                probe_steps = set(probe_root)
+                probes = shear_probes.select(masks, args.n)
+                report["probe_trace"] = shear_probes.new_trace(
+                    probes, cfg.viscosity, [args.diagnostic, args.n, args.depth, args.explosion])
+            for step in sorted(set(main_steps + early_steps) | probe_steps):
                 run.step(step - run.step_count)
-                arrays = (run.download(),) if args.depth == 1 else run.download()
-                row = metrics(arrays, masks, step, args.n, cfg.viscosity, initial_mass)
-                if not all(np.isfinite(value) for value in row.values()):
-                    raise FloatingPointError("nonfinite sample diagnostics")
+                if step in probe_steps:
+                    trace = report["probe_trace"]
+                    if "error" not in trace:
+                        arrays = (run.download(),) if args.depth == 1 else run.download()
+                        try:
+                            values = shear_probes.sample(arrays, probes)
+                            shear_probes.validate_row(values, len(probes))
+                        except (ValueError, ZeroDivisionError) as error:
+                            report["probe_trace"] = dict(error=str(error))
+                        else:
+                            trace["steps"].append(probe_root[step])  # root-physical step
+                            trace["values"].append(values)
+                    if step not in main_steps and step not in early_steps:
+                        continue  # probe-only step: no qualification metrics
+                row = sample(run, masks, step, args.n, cfg.viscosity, initial_mass,
+                             metrics, args.depth)
                 row["step"] = step
                 if initial_mass is None:
                     initial_mass = row["mass"]
                 if step in main_steps:
                     report["rows"].append(row)
+                if args.final_snapshot and step == main_steps[-1]:
+                    # Optional macro-only snapshot; scalar receipt stays authoritative.
+                    report["final_snapshot"] = shear_nested.write_snapshot(
+                        args.output.with_name(args.output.stem + ".final_macro.npz"),
+                        run.download(), masks,
+                        shear_nested.snapshot_meta(step, cfg.viscosity, args.explosion,
+                                                   source.get("revision")))
                 if step in early_steps:
                     trace = report["early_pressure"]
                     trace["rows"].append({key: row[key] for key in ("step", "tstar", "pressure_l2")})
@@ -278,10 +496,8 @@ def main():
                     # Exercise real kernels/halos/transfers on every level before READY.
                     # This is the first measured trajectory step, not discarded warmup.
                     run.step(1)
-                    probe = (run.download(),) if args.depth == 1 else run.download()
-                    probe_metrics = metrics(probe, masks, 1, args.n, cfg.viscosity, initial_mass)
-                    if not all(np.isfinite(value) for value in probe_metrics.values()):
-                        raise FloatingPointError("nonfinite READY diagnostics")
+                    sample(run, masks, 1, args.n, cfg.viscosity, initial_mass,
+                           metrics, args.depth, "READY")
                     report["ready_after_step"] = 1
                     save()
                     print(
@@ -297,11 +513,16 @@ def main():
                         ),
                         flush=True,
                     )
+    if args.probe_trace and "error" not in report["probe_trace"]:
+        try:
+            report["probe_trace"]["bytes"] = shear_probes.validate(report["probe_trace"])
+        except ValueError as error:  # keep the scalar receipt; drop an invalid trace
+            report["probe_trace"] = dict(error=str(error))
     report.update(
         completed=True,
         seconds=time.monotonic() - started,
-        screening_pass=all(
-            row[key] <= limit for row in report["rows"] for key, limit in LIMITS.items()
+        screening_pass=None if axis_square else all(
+            row[key] <= limit for row in report["rows"] for key, limit in limits.items()
         ),
     )
     save()
@@ -311,6 +532,8 @@ def main():
         ),
         flush=True,
     )
+    if axis_square:
+        return int("error" in report["probe_trace"])
     return 0 if report["screening_pass"] else 1
 
 

tests/validation/taylor_green/shear_axis_square.py

@@ -0,0 +1,136 @@
+"""Short axis-shear orientation diagnostic; no physical acceptance gates."""
+
+import json
+import numpy as np
+
+import shear_wave as sw
+from shear_probes import sample, validate_row, TRACE_MAX_BYTES
+from oracle import CX, CY, W, U, centers
+
+ROOT_N = 128
+MODE, E, PHI, ANGLE_DEG = (2, 0), np.array([0., 1.]), np.pi / 4, 0.
+REFINEMENTS = [[(32, 32, 96, 96)]]
+CASES = ((100, 128, 1, "constant"), (100, 256, 1, "constant"),
+         (100, 128, 2, "constant"), (100, 128, 2, "projected_linear"))
+STEPS = tuple(range(9))
+INITIALIZATION_ID = "postg_first_gradient_v1"
+INITIALIZATION = "physical FP64 axis-shear POST G=feq-(tau-1)A; first-gradient low-Mach CE"
+GROUPS = dict(inner_left=(32, 64), inner_right=(95, 63),
+              inner_bottom=(64, 32), inner_top=(63, 95),
+              outer_left=(31, 64), outer_right=(96, 63),
+              outer_bottom=(64, 31), outer_top=(63, 96))
+
+
+def eps(n):
+    return (4 * np.pi / n)**2
+
+
+def exact(x, t, length, viscosity):
+    """Transverse velocity and physical x derivative in the supplied length units."""
+    k = 4 * np.pi / length
+    amplitude = U * np.exp(-viscosity * k * k * t)
+    return amplitude * np.sin(k * x + PHI), amplitude * k * np.cos(k * x + PHI)
+
+
+def initial(shape, level, length, viscosity):
+    x, _ = centers(shape, level)
+    uy, gradient = exact(x, 0, length, viscosity)
+    tau = .5 + 3 * viscosity * 2**level
+    a = (3 * W * CX * CY)[:, None, None] * gradient * 2.**-level
+    return sw.equilibrium(np.ones_like(uy), np.zeros_like(uy), uy) - (tau - 1) * a
+
+
+def metrics(arrays, masks, t, length, viscosity, initial_mass=None):
+    rho, ux, uy, x, _, w, _ = sw._leaves(arrays, masks)
+    if not np.isclose(w.sum(), length**2, rtol=0, atol=1e-10):
+        raise ValueError("leaf partition does not cover domain once")
+    ey, _ = exact(x, t, length, viscosity)
+    p = (rho - 1) / 3
+    p -= w @ p / w.sum()  # one domain gauge, never the probe mean
+    mass = float(w @ rho)
+    return dict(tstar=t * U / length, mass=mass,
+                mass_relative=0. if initial_mass is None else abs(mass-initial_mass)/initial_mass,
+                velocity_l2=float(np.sqrt(w @ (ux**2 + (uy-ey)**2) / (w @ ey**2))),
+                spurious_pressure_rms=float(np.sqrt(w @ p**2 / w.sum())),
+                rho_min=float(rho.min()), rho_max=float(rho.max()),
+                max_speed=float(np.hypot(ux, uy).max()), leaf_cells=len(rho))
+
+
+def case_steps(n):
+    return [r * (n // ROOT_N) for r in STEPS]
+
+
+def select(masks, n=ROOT_N):
+    """Exact native cells filling eight unit-area groups; no interpolated samples."""
+    if (n, len(masks)) not in ((128, 1), (256, 1), (128, 2)):
+        raise ValueError("unsupported square probe layout")
+    probes = []
+    for name, (x, y) in GROUPS.items():
+        level = int(len(masks) == 2 and name.startswith("inner"))
+        factor = (n // ROOT_N) * 2**level
+        for dy in range(factor):
+            for dx in range(factor):
+                i, j = factor*x + dx, factor*y + dy
+                if not masks[level][j, i]:
+                    raise ValueError("square probe is not ACTIVE")
+                probes.append(dict(group=name, level=level, i=i, j=j,
+                                   center=[(i+.5)/factor, (j+.5)/factor],
+                                   width=1/factor, area=1/factor**2, parity=[i % 2, j % 2]))
+    if len({(p["level"], p["i"], p["j"]) for p in probes}) != len(probes):
+        raise ValueError("duplicate square probes")
+    return probes
+
+
+def new_trace(probes, case_viscosity, case):
+    return dict(schema=1, kind="axis-square orientation diagnostic; no pass gates", case=case,
+                time_unit="root step (N=128)", sample_phase="postcollision G at root synchronization",
+                root_n=ROOT_N, viscosity_root=U*ROOT_N/100, case_viscosity=case_viscosity,
+                mode=list(MODE), phase=PHI, amplitude=U, fields=["rho", "ux", "uy"],
+                probes=probes, steps=[], values=[])
+
+
+def group_moments(trace):
+    """Signed unit-area means; normalize by each group's mean actual-center derivative.
+
+    Momentum is rho*u. Raw density is ungauged. Per-cell parity stays in the trace.
+    U128 samples one center, whereas U256/refined-inner use four different centers.
+    """
+    out = []
+    for step, row in zip(trace["steps"], trace["values"]):
+        values, groups = np.asarray(row).reshape(-1, 3), {}
+        for name in GROUPS:
+            indices = [i for i, p in enumerate(trace["probes"]) if p["group"] == name]
+            probes = [trace["probes"][i] for i in indices]
+            weights = np.array([p["area"] for p in probes])
+            if weights.sum() != 1:
+                raise ValueError("probe group does not have unit area")
+            rho, ux, uy = values[indices].T
+            ey, gradient = exact(np.array([p["center"][0] for p in probes]), step,
+                                 ROOT_N, trace["viscosity_root"])
+            drho, djx, djy = (float(weights @ v) for v in (rho-1, rho*ux, rho*uy-ey))
+            derivative = float(weights @ gradient)
+            groups[name] = dict(drho=drho, djx=djx, djy=djy, mean_duy_dx=derivative,
+                                djx_over_duy_dx=djx/derivative, djy_over_duy_dx=djy/derivative)
+        out.append(dict(root_step=step, groups=groups))
+    return out
+
+
+def validate(trace):
+    if trace["steps"] != list(STEPS) or len(trace["values"]) != len(STEPS):
+        raise ValueError("square trace schedule mismatch")
+    _, n, depth, scheme = trace["case"]
+    if (100, n, depth, scheme) not in CASES or len(trace["probes"]) != (
+            20 if depth == 2 else 8*(n//ROOT_N)**2):
+        raise ValueError("square trace case/count mismatch")
+    for row in trace["values"]:
+        validate_row(row, len(trace["probes"]))
+    trace["group_moments"] = group_moments(trace)
+    size = 0
+    while True:
+        final = len(json.dumps(dict(trace, bytes=size), allow_nan=False).encode())
+        if final == size:
+            break
+        size = final
+    if size > TRACE_MAX_BYTES:
+        raise ValueError("square trace exceeds byte cap")
+    return size

tests/validation/taylor_green/shear_nested.py

@@ -0,0 +1,174 @@
+"""Fixed three-level/two-region shear preset (opt-in nested_shear_n128).
+
+Four fresh cases: U128, U512 (finest control = 4N), constant R128 depth 3,
+projected R128 depth 3. Same wave, phase, Re100/U=0.03, initialization, five
+sample times, eps(root N), limits and floors as shear_wave. This changes
+placement and refined volume as well as depth: no isolated-level cost or
+resolution-trend label. shear_wave.py is reused unchanged (historical receipt
+identities stay valid); only the depth/finest-control contract is generalized
+here.
+"""
+
+import hashlib
+import json
+from pathlib import Path
+
+import numpy as np
+
+import shear_wave as sw
+from oracle import CX, CY, U, centers
+
+ROOT_N = 128
+DEPTH = 3
+FINEST_FACTOR = 2 ** (DEPTH - 1)  # finest-spacing uniform control is 4N
+# Parent-frame (x0, y0, x1, y1) rectangles; level-wide, zero-origin unions.
+REFINEMENTS = [
+    [(16, 16, 60, 112), (68, 24, 112, 120)],     # L0 -> L1, root coordinates
+    [(44, 44, 108, 212), (148, 60, 212, 228)],   # L1 -> L2, L1 coordinates
+]
+CASES = ((100, ROOT_N, 1, "constant"), (100, FINEST_FACTOR * ROOT_N, 1, "constant"),
+         (100, ROOT_N, DEPTH, "constant"), (100, ROOT_N, DEPTH, "projected_linear"))
+ROOT_STEPS = 16 * ROOT_N
+LEAVES = [7936, 12288, 86016]
+HOPS = [ROOT_STEPS * 2**level for level in range(DEPTH)]  # [2048, 4096, 8192]
+WORK = sum(c * h for c, h in zip(LEAVES, HOPS))           # 771227648 per refined case
+NU = [U * ROOT_N / sw.RE * 2**level for level in range(DEPTH)]  # [.0384, .0768, .1536]
+TAU = [0.5 + 3 * nu for nu in NU]                                # [.6152, .7304, .9608]
+SNAPSHOT_MAX_BYTES = 8 * 1024 * 1024
+SNAPSHOT_KEYS = ("level", "i", "j", "rho", "ux", "uy", "meta")
+
+
+def leaf_masks():
+    """Independent numpy leaf masks of the fixed preset (root, L1, L2 level-wide grids)."""
+    masks, covered = [], None
+    for level in range(DEPTH):
+        size = ROOT_N * 2**level
+        inside = np.ones((size, size), bool) if level == 0 else covered
+        if level < DEPTH - 1:
+            child = np.zeros((size, size), bool)
+            for x0, y0, x1, y1 in REFINEMENTS[level]:
+                child[y0:y1, x0:x1] = True
+            masks.append(inside & ~child)
+            covered = np.kron(child, np.ones((2, 2), bool))
+        else:
+            masks.append(inside)
+    return masks
+
+
+def assess(base_control, finest_control, refined):
+    """shear_wave.assess generalized to depth 3 with a 4N finest control.
+
+    Same summaries, screens, budgets and outcome semantics; only the
+    (depth, finest-control) shape contract differs.
+    """
+    if base_control is None or finest_control is None or not refined:
+        return dict(status="INVALID_CONTROL", reason="missing control or refined run")
+    n = base_control["n"]
+    if (base_control["depth"], finest_control["depth"], finest_control["n"]) != (
+            1, 1, FINEST_FACTOR * n):
+        raise ValueError("controls must be uniform N and uniform 4N")
+    if any(r["depth"] != DEPTH or r["n"] != n for r in refined):
+        raise ValueError("refined runs must be depth 3 at root N")
+    if len({r.get("explosion") for r in refined}) != len(refined):
+        raise ValueError("duplicate refined explosion scheme")
+    sources = {repr(r.get("source")) for r in [base_control, finest_control, *refined]}
+    base, fine = sw._usable(base_control), sw._usable(finest_control)
+    if base is None or fine is None or len(sources) != 1:
+        return dict(status="INVALID_CONTROL", reason="incomplete/invalid control or mixed source")
+    controls_pass = base["own_screens_pass"] and fine["own_screens_pass"]
+    report = dict(base_control=base, finest_control=fine, refined={},
+                  controls_pass=controls_pass)
+    statuses = []
+    for r in refined:
+        try:
+            s = sw.summarize(r)
+        except (KeyError, TypeError, ValueError) as error:
+            report["refined"][r["explosion"]] = dict(valid=False, reason=str(error))
+            statuses.append("INVALID_RUN")
+            continue
+        s["valid"] = True
+        s["budget"] = {
+            key: (None if base[key] is None else max(sw.BASELINE_FACTOR * base[key], floor))
+            for key, floor in sw.FLOORS.items()
+        }
+        s["budget_pass"] = all(
+            s[key] is not None and s["budget"][key] is not None and s[key] <= s["budget"][key]
+            for key in sw.FLOORS)
+        s["control_ratios"] = {
+            name: {key: (s[key] / c[key] if s[key] is not None and c[key] else None)
+                   for key in (*sw.FLOORS, "spurious_pressure_rms")}
+            for name, c in (("root", base), ("finest", fine))
+        }
+        s["controlled_pass"] = controls_pass and s["own_screens_pass"] and s["budget_pass"]
+        report["refined"][r["explosion"]] = s
+        statuses.append("PASS" if s["controlled_pass"] else "FAIL")
+    if "INVALID_RUN" in statuses:
+        report["status"] = "INVALID_RUN"
+    elif not controls_pass:
+        report["status"] = "CONTROL_SCREEN_FAIL"
+    else:
+        report["status"] = "PASS" if all(v == "PASS" for v in statuses) else "FAIL"
+    return report
+
+
+def write_snapshot(path, arrays, masks, meta):
+    """Final macro snapshot: packed ACTIVE leaves (level, i, j), rho, ux, uy only.
+
+    No populations, no restart state, no time series. Returns the receipt block;
+    a file over SNAPSHOT_MAX_BYTES is removed and reported, never kept.
+    """
+    path = Path(path)
+    if path.exists():
+        raise FileExistsError(path)
+    cols = {k: [] for k in ("level", "i", "j", "rho", "ux", "uy")}
+    counts = []
+    for level, (g, mask) in enumerate(zip(arrays, masks)):
+        if g.shape != (9, *mask.shape):
+            raise ValueError("population/mask shape mismatch")
+        values = g[:, mask].astype(float)
+        rho = values.sum(axis=0)
+        j, i = np.nonzero(mask)  # row = y index, column = x index
+        cols["level"].append(np.full(rho.size, level, np.uint8))
+        cols["i"].append(i.astype(np.uint16))
+        cols["j"].append(j.astype(np.uint16))
+        cols["rho"].append(rho)
+        cols["ux"].append(CX @ values / rho)
+        cols["uy"].append(CY @ values / rho)
+        counts.append(int(rho.size))
+    packed = {k: np.concatenate(v) for k, v in cols.items()}
+    if not all(np.isfinite(packed[k]).all() for k in ("rho", "ux", "uy")):
+        raise FloatingPointError("nonfinite snapshot macros")
+    meta = dict(meta, leaf_counts=counts, cell_center="h*(index+0.5), h=2**-level",
+                fields="rho, ux, uy from FP64 physical populations at ACTIVE leaves")
+    with path.open("xb") as handle:
+        np.savez_compressed(handle, meta=np.array(json.dumps(meta, sort_keys=True)), **packed)
+    size = path.stat().st_size
+    block = dict(file=path.name, bytes=size, leaf_counts=counts, max_bytes=SNAPSHOT_MAX_BYTES,
+                 step=meta.get("step"), tstar=meta.get("tstar"))
+    if size > SNAPSHOT_MAX_BYTES:
+        path.unlink()
+        return dict(block, kept=False, sha256=None, reason="exceeds snapshot byte cap")
+    block.update(kept=True, sha256=hashlib.sha256(path.read_bytes()).hexdigest())
+    return block
+
+
+def read_snapshot(path):
+    """Validate a snapshot: exact keys, no populations, consistent packed arrays."""
+    with np.load(path, allow_pickle=False) as data:
+        if tuple(sorted(data.files)) != tuple(sorted(SNAPSHOT_KEYS)):
+            raise ValueError("unexpected snapshot contents")
+        out = {k: data[k] for k in data.files}
+    meta = json.loads(str(out.pop("meta")))
+    n = len(out["rho"])
+    if any(len(v) != n for v in out.values()) or sum(meta["leaf_counts"]) != n:
+        raise ValueError("inconsistent snapshot arrays")
+    return meta, out
+
+
+def snapshot_meta(step, viscosity, explosion, source_revision):
+    """Exact time/phase/config identity stored inside the snapshot."""
+    return dict(step=step, tstar=step * U / ROOT_N, phase=sw.PHI, mode=list(sw.MODE),
+                polarization=sw.E.tolist(), amplitude=U, re_L=sw.RE, n=ROOT_N, depth=DEPTH,
+                explosion=explosion, viscosity=viscosity, tau_by_level=TAU,
+                refinements=REFINEMENTS, source_revision=source_revision,
+                origin="level-wide zero-origin grids", time="root synchronization, postcollision")

tests/validation/taylor_green/shear_postg.py

@@ -0,0 +1,34 @@
+"""First-gradient POST-G initialization counterfactual, not a qualification preset.
+
+PRE F = feq - tau*A; POST G = feq - (tau - 1)*A. This low-Mach,
+first-order Chapman-Enskog approximation is not an exact discrete eigenstate.
+The physical viscous-stress factor tau - 1/2 is not the raw POST-G factor.
+"""
+
+import numpy as np
+
+import shear_nested as nested
+import shear_wave as sw
+from oracle import CX, CY, W, U, centers
+
+REFINEMENTS = nested.REFINEMENTS
+CASES = ((100, 128, 1, "constant"), (100, 512, 1, "constant"),
+         (100, 128, 3, "projected_linear"))
+INITIALIZATION_ID = "postg_first_gradient_v1"
+INITIALIZATION = (
+    "physical FP64 POST G=feq-(tau-1)A at actual cell centers; "
+    "A=3*w*U*cos(theta)*(c.e)*(c.k_level); rho=1; first-gradient low-Mach CE"
+)
+
+
+def initial(shape, level, length, viscosity):
+    """Return physical FP64 G; production initialize owns shifted FP32 encoding."""
+    x, y = centers(shape, level)
+    k = sw.wavevector(length)
+    theta = k[0] * x + k[1] * y + sw.PHI
+    k_level = k * 2.0**-level
+    tau = 0.5 + 3 * viscosity * 2**level
+    ce = CX * sw.E[0] + CY * sw.E[1]
+    ck = CX * k_level[0] + CY * k_level[1]
+    correction = (3 * W * ce * ck)[:, None, None] * U * np.cos(theta)
+    return sw.initial(shape, level, length, viscosity) - (tau - 1) * correction

tests/validation/taylor_green/shear_probes.py

@@ -0,0 +1,134 @@
+"""Signed interface-probe traces for the nested/twin shear presets (mechanism diagnostic).
+
+No pass gates. Native-validated 24-target layout through box 1, in root-128
+physical coordinates, crossing L0->L1 and (nested only) L1->L2 away from corners:
+  horizontal line y = 56 across the vertical faces x = 16 and x = 22;
+  vertical line x = 38 across the horizontal faces y = 16 and y = 22;
+  normal coordinates NORMAL_COORDS on both (nested: 3 L0 + 5 L1 + 4 L2 each).
+Each target maps to the nearest ACTIVE leaf center (tie rule: distance, then
+finer level, then smaller j, then smaller i). Grids differ between cases
+(U128, U512, nested, twin), so actual centers, levels and displacements are
+stored and analytic fields are evaluated at the actual centers.
+Samples are POST-collision G at root synchronization only (root-step units);
+no substep content is observed, and grid-scale alternation can alias.
+"""
+
+import math
+
+import numpy as np
+
+import shear_wave as sw
+from oracle import CX, CY, U
+
+ROOT_N = 128
+NORMAL_COORDS = (12.5, 14.5, 15.5, 16.25, 17.25, 19.25, 20.75, 21.75,
+                 22.125, 23.125, 24.125, 26.125)
+TRANSECTS = {"horizontal_y56": dict(axis=0, other=56.0),   # x varies, y fixed
+             "vertical_x38": dict(axis=1, other=38.0)}     # y varies, x fixed
+STEPS = tuple(range(0, 129)) + tuple(range(1920, 2049))  # root steps, both inclusive
+TRACE_MAX_BYTES = 600_000
+
+
+def points():
+    out = []
+    for name, t in TRANSECTS.items():
+        for along in NORMAL_COORDS:
+            xy = (along, t["other"]) if t["axis"] == 0 else (t["other"], along)
+            out.append((name, along, xy))
+    return out
+
+
+def case_steps(n):
+    """Case lattice steps at the fixed root-physical sample times (U512: 4 per root step)."""
+    return [s * (n // ROOT_N) for s in STEPS]
+
+
+def select(masks, n=ROOT_N):
+    """Nearest ACTIVE leaf center for each target (deterministic tie rule).
+
+    Targets and stored centers are in root-physical units (root cell = 1); a case
+    with root N = n has cell size h = ROOT_N / (n * 2**level) there (U512: 0.25).
+    """
+    if n % ROOT_N:
+        raise ValueError("case root N must be a multiple of 128")
+    probes = []
+    for name, along, (x, y) in points():
+        best = None
+        for level, mask in enumerate(masks):
+            h = ROOT_N / (n * 2 ** level)
+            i0, j0 = int(math.floor(x / h)), int(math.floor(y / h))
+            for j in range(j0 - 2, j0 + 3):
+                for i in range(i0 - 2, i0 + 3):
+                    if 0 <= j < mask.shape[0] and 0 <= i < mask.shape[1] and mask[j, i]:
+                        cx, cy = h * (i + 0.5), h * (j + 0.5)
+                        key = (math.hypot(cx - x, cy - y), -level, j, i)
+                        if best is None or key < best[0]:
+                            best = (key, level, i, j, cx, cy)
+        if best is None:
+            raise ValueError(f"no ACTIVE leaf near target {(x, y)}")
+        _, level, i, j, cx, cy = best
+        probes.append(dict(transect=name, normal=along, point=[x, y], level=level, i=i, j=j,
+                           center=[cx, cy], displacement=[cx - x, cy - y]))
+    if len({(p["level"], p["i"], p["j"]) for p in probes}) != len(probes):
+        raise ValueError("probe targets map to duplicate cells")
+    return probes
+
+
+def sample(arrays, probes):
+    """Flat [rho, ux, uy] per probe from FP64 physical populations."""
+    row = []
+    for p in probes:
+        f = np.asarray(arrays[p["level"]][:, p["j"], p["i"]], dtype=float)
+        rho = float(f.sum())
+        row += [rho, float(CX @ f) / rho, float(CY @ f) / rho]
+    return row
+
+
+def new_trace(probes, case_viscosity, case):
+    """Times/coordinates are root-physical (N=128); nu_root = U*128/Re for all cases."""
+    return dict(schema=1, kind="mechanism diagnostic, no pass gates", case=case,
+                time_unit="root step (N=128)", sample_phase="postcollision G at root synchronization",
+                root_n=ROOT_N, viscosity_root=U * ROOT_N / sw.RE, case_viscosity=case_viscosity,
+                mode=list(sw.MODE), phase=sw.PHI,
+                amplitude=U, fields=["rho", "ux", "uy"], probes=probes, steps=[], values=[])
+
+
+def residuals(trace):
+    """Signed (drho, dux, duy) per step and probe, analytic field at each actual center."""
+    out = []
+    for step, row in zip(trace["steps"], trace["values"]):
+        res = []
+        for n, p in enumerate(trace["probes"]):
+            x, y = p["center"]
+            ux, uy, _ = sw.exact(x, y, step, trace["root_n"], trace["viscosity_root"])
+            rho, vx, vy = row[3 * n: 3 * n + 3]
+            res.append((rho - 1.0, vx - float(ux), vy - float(uy)))
+        out.append(res)
+    return out
+
+
+def validate_row(row, probe_count):
+    """Reject an invalid optional sample before it can enter a scalar receipt."""
+    if len(row) != 3 * probe_count or not all(math.isfinite(v) for v in row):
+        raise ValueError("malformed or nonfinite trace row")
+
+
+def validate(trace):
+    """Exact schedule, finite values, fixed probe count and byte cap."""
+    import json
+    if trace.get("steps") != list(STEPS) or len(trace["values"]) != len(STEPS):
+        raise ValueError("trace steps differ from the fixed schedule")
+    if len(trace["probes"]) != len(NORMAL_COORDS) * len(TRANSECTS):
+        raise ValueError("unexpected probe count")
+    for row in trace["values"]:
+        validate_row(row, len(trace["probes"]))
+    # Include the final byte-count field itself, including its number of digits.
+    size = 0
+    while True:
+        final_size = len(json.dumps(dict(trace, bytes=size), allow_nan=False).encode())
+        if final_size == size:
+            break
+        size = final_size
+    if size > TRACE_MAX_BYTES:
+        raise ValueError(f"trace exceeds {TRACE_MAX_BYTES} bytes ({size})")
+    return size

tests/validation/taylor_green/shear_twin.py

@@ -0,0 +1,36 @@
+"""Depth-2 twin of the nested shear preset (opt-in twin_shear_n128).
+
+Same two L0->L1 boxes as shear_nested, no L2. Four fresh cases: U128, U256
+(finest control = 2N), constant R128 depth 2, projected R128 depth 2; same
+wave, phase, Re100/U=0.03, initialization, times, eps(root N), limits, floors.
+
+Twin vs nested measures the effect of adding this nested L2 refinement.
+Removing L2 also changes the finest spacing and refined volume, so the
+contrast does not isolate abstract depth. Physics is the unchanged depth-2,
+2N-control shear_wave.assess; shear_nested.py stays byte-identical.
+"""
+
+import numpy as np
+
+import shear_nested as nested
+
+ROOT_N = nested.ROOT_N
+DEPTH = 2
+FINEST_FACTOR = 2
+REFINEMENTS = [nested.REFINEMENTS[0]]  # L0 -> L1 only, root coordinates
+CASES = ((100, ROOT_N, 1, "constant"), (100, FINEST_FACTOR * ROOT_N, 1, "constant"),
+         (100, ROOT_N, DEPTH, "constant"), (100, ROOT_N, DEPTH, "projected_linear"))
+ROOT_STEPS = 16 * ROOT_N
+LEAVES = [7936, 33792]
+HOPS = [ROOT_STEPS * 2**level for level in range(DEPTH)]  # [2048, 4096]
+WORK = sum(c * h for c, h in zip(LEAVES, HOPS))           # 154664960 per refined case
+NU = nested.NU[:DEPTH]
+TAU = nested.TAU[:DEPTH]
+
+
+def leaf_masks():
+    """Independent numpy leaf masks (root complement, full L1 boxes)."""
+    child = np.zeros((ROOT_N, ROOT_N), bool)
+    for x0, y0, x1, y1 in REFINEMENTS[0]:
+        child[y0:y1, x0:x1] = True
+    return [~child, np.kron(child, np.ones((2, 2), bool))]

tests/validation/taylor_green/shear_wave.py

@@ -0,0 +1,312 @@
+"""CPU-only oblique shear-wave reference and composite-leaf diagnostics.
+
+Convention: integer mode MODE=(2,1) on the L x L periodic root domain, so the
+wavevector k = (2*pi/L)*(2,1) points 26.565 deg from +x (mode (1,2) would be
+63.435 deg). Velocity is polarized along E = (-1,2)/sqrt(5), perpendicular to k.
+The frozen Taylor-Green oracle is reused for constants and geometry only.
+"""
+
+import math
+
+import numpy as np
+from oracle import CX, CY, W, U, TIMES, centers
+
+MODE = (2, 1)
+PHI = 0.0
+E = np.array([-MODE[1], MODE[0]], dtype=float) / math.hypot(*MODE)
+ANGLE_DEG = math.degrees(math.atan2(MODE[1], MODE[0]))
+RE = 100  # Re = U L / nu, the same nu as Taylor-Green Re100 at equal N
+FIT_FROM_TSTAR = 0.12  # late-time samples only; reduces startup sensitivity
+INITIALIZATION = (
+    "physical FP64 equilibrium G at actual cell centers; rho=1 (exact p const)"
+)
+# Per-row screens. phase_drift_abs, residual_l2 and the run-level rate screen
+# use eps(n) and are preregistered diagnostic choices, not error bounds.
+LIMITS = dict(velocity_l2=0.05, spurious_pressure_scaled=0.02, mass_relative=1e-5)
+# The comparative pressure budget max(2*control, 0.02) is never below the 0.02
+# absolute ceiling, so it is always redundant; raw control ratios are kept.
+FLOORS = dict(rate_error=0.002, residual_l2=0.002, spurious_pressure_scaled=0.02)
+BASELINE_FACTOR = 2.0
+
+
+def wavevector(length):
+    return 2 * np.pi / length * np.array(MODE, dtype=float)
+
+
+def decay_rate(length, viscosity):
+    """Exact amplitude decay rate per root step: nu |k|^2."""
+    k = wavevector(length)
+    return viscosity * float(k @ k)
+
+
+def eps(n):
+    """(|k| h_root)^2 with h_root = 1: dimensionless, coefficient one."""
+    k = wavevector(n)
+    return float(k @ k)
+
+
+def exact(x, y, t, length, viscosity, amplitude=U):
+    k = wavevector(length)
+    a = amplitude * np.exp(-decay_rate(length, viscosity) * t)
+    s = np.sin(k[0] * x + k[1] * y + PHI)
+    p = np.zeros_like(s)
+    return a * E[0] * s, a * E[1] * s, p  # kinematic pressure, constant
+
+
+def equilibrium(rho, ux, uy):
+    # Same second-order D2Q9 equilibrium as oracle.initial.
+    cu = CX[:, None, None] * ux + CY[:, None, None] * uy
+    return (
+        W[:, None, None]
+        * rho
+        * (1 + 3 * cu + 4.5 * cu * cu - 1.5 * (ux * ux + uy * uy))
+    )
+
+
+def initial(shape, level, length, viscosity):
+    x, y = centers(shape, level)
+    ux, uy, p = exact(x, y, 0.0, length, viscosity)
+    return equilibrium(1 + 3 * p, ux, uy)
+
+
+def _leaves(arrays, masks):
+    accum = []
+    for level, (g, mask) in enumerate(zip(arrays, masks)):
+        if g.shape != (9, *mask.shape):
+            raise ValueError("population/mask shape mismatch")
+        values = g[:, mask].astype(float)
+        if not np.isfinite(values).all():
+            raise FloatingPointError("nonfinite leaf populations")
+        rho = values.sum(axis=0)
+        if (rho <= 0).any():
+            raise FloatingPointError("nonpositive leaf density")
+        x, y = centers(mask.shape, level)
+        area = np.full(rho.size, 0.25**level)
+        lev = np.full(rho.size, level)
+        accum.append((rho, CX @ values / rho, CY @ values / rho, x[mask], y[mask], area, lev))
+    return [np.concatenate(v) for v in zip(*accum)]
+
+
+def metrics(arrays, masks, t, length, viscosity, initial_mass=None):
+    rho, ux, uy, x, y, w, lev = _leaves(arrays, masks)
+    volume = w.sum()
+    if not np.isclose(volume, length**2, rtol=0, atol=1e-10):
+        raise ValueError("leaf partition does not cover domain once")
+    k = wavevector(length)
+    theta = k[0] * x + k[1] * y + PHI
+    s, c = np.sin(theta), np.cos(theta)
+    v = ux * E[0] + uy * E[1]
+    # Weighted least squares on the actual composite quadrature (no
+    # continuous-orthogonality assumption).
+    gram = np.array([[w @ (s * s), w @ (s * c)], [w @ (s * c), w @ (c * c)]])
+    a_hat, b_hat = np.linalg.solve(gram, [w @ (v * s), w @ (v * c)])
+    ex, ey, _ = exact(x, y, t, length, viscosity)
+    exact_norm = w @ (ex * ex + ey * ey)
+    fit = a_hat * s + b_hat * c
+    longitudinal = (ux * k[0] + uy * k[1]) / math.sqrt(k @ k)
+    amplitude = U * math.exp(-decay_rate(length, viscosity) * t)
+    scale = amplitude * amplitude / 4  # continuum reference scale, not the TG norm
+    modal = math.hypot(a_hat, b_hat)
+    p = (rho - 1) / 3
+    p = p - w @ p / volume  # one global gauge
+    mass = float(w @ rho)
+    return dict(
+        tstar=t * U / length,
+        mass=mass,
+        mass_relative=(
+            0.0 if initial_mass is None else abs(mass - initial_mass) / initial_mass
+        ),
+        a_hat=float(a_hat),
+        b_hat=float(b_hat),
+        amplitude_exact=amplitude,
+        amplitude_ratio=float(a_hat / amplitude),
+        modal_amplitude=modal,
+        amplitude_error=modal / amplitude - 1,
+        phase_drift=float(math.atan2(b_hat, a_hat)),
+        phase_drift_abs=abs(float(math.atan2(b_hat, a_hat))),
+        velocity_l2=float(
+            np.sqrt(w @ ((ux - ex) ** 2 + (uy - ey) ** 2) / exact_norm)
+        ),
+        residual_l2=float(
+            np.sqrt(w @ ((ux - fit * E[0]) ** 2 + (uy - fit * E[1]) ** 2) / exact_norm)
+        ),
+        longitudinal_l2=float(np.sqrt(w @ (longitudinal**2) / exact_norm)),
+        spurious_pressure_rms=float(np.sqrt(w @ (p * p) / volume)),
+        spurious_pressure_scaled=float(np.sqrt(w @ (p * p) / volume) / scale),
+        spurious_pressure_max_scaled=float(np.max(np.abs(p)) / scale),
+        spurious_pressure_scaled_by_level=[
+            float(np.sqrt(w[lev == i] @ (p[lev == i] ** 2) / w[lev == i].sum()) / scale)
+            for i in range(len(masks))
+        ],
+        rho_min=float(rho.min()),
+        rho_max=float(rho.max()),
+        max_speed=float(np.max(np.hypot(ux, uy))),
+        leaf_cells=int(len(rho)),
+    )
+
+
+def fit_rate(rows, length, viscosity):
+    """Free-intercept least squares of ln R, R = hypot(a_hat, b_hat), late samples.
+
+    The intercept absorbs only a constant amplitude prefactor once a single
+    exponential dominates; per-interval rates and the fit residual are kept so
+    a lingering transient stays visible. Rates are per root step of the record
+    (uniform 2N uses its own nu and doubled step counts).
+    """
+    late = [r for r in rows if r["tstar"] >= FIT_FROM_TSTAR - 1e-12]
+    amp = np.array([math.hypot(r["a_hat"], r["b_hat"]) for r in late])
+    if len(late) < 3 or not np.isfinite(amp).all():
+        raise ValueError("need >= 3 late samples with finite R")
+    exact_rate = decay_rate(length, viscosity)
+    to_tstar = length / U  # root steps per unit t*
+    if not (amp > 0).all():
+        # Finite modal extinction: a physical failure, not malformed data. No
+        # clipping and no invented rate; fit quantities are unavailable.
+        return dict(rate_fit_valid=False, rate=None, exact_rate=exact_rate,
+                    rate_tstar=None, exact_rate_tstar=exact_rate * to_tstar,
+                    rate_error=None, interval_rate_errors=None, log_fit_residual_max=None)
+    t = np.array([r["step"] for r in late], dtype=float)
+    (slope, intercept) = np.polyfit(t, np.log(amp), 1)
+    residual = np.log(amp) - (slope * t + intercept)
+    return dict(
+        rate_fit_valid=True, rate=float(-slope), exact_rate=exact_rate,
+        rate_tstar=float(-slope * to_tstar),
+        exact_rate_tstar=exact_rate * to_tstar,  # = 5 (2 pi)^2 / Re
+        rate_error=abs(-slope / exact_rate - 1),
+        interval_rate_errors=[
+            float(-np.log(amp[i + 1] / amp[i]) / (t[i + 1] - t[i]) / exact_rate - 1)
+            for i in range(len(t) - 1)
+        ],
+        log_fit_residual_max=float(np.max(np.abs(residual))),
+    )
+
+
+NONNEGATIVE = ("tstar", "mass", "mass_relative", "amplitude_exact", "modal_amplitude",
+               "phase_drift_abs", "velocity_l2", "residual_l2", "longitudinal_l2",
+               "spurious_pressure_rms", "spurious_pressure_scaled",
+               "spurious_pressure_max_scaled", "rho_min", "rho_max", "max_speed")
+SIGNED = ("a_hat", "b_hat", "amplitude_ratio", "amplitude_error", "phase_drift")
+
+
+def _number(value):
+    return (isinstance(value, (int, float)) and not isinstance(value, bool)
+            and math.isfinite(value))
+
+
+def validate_rows(record):
+    """Exact schedule, finite numbers (incl. lists) and nonnegative error fields.
+
+    Signed quantities (amplitudes, amplitude/phase errors) keep their sign.
+    Raises ValueError so callers can report an invalid run before any screen.
+    """
+    n, rows = record["n"], record["rows"]
+    steps = [round(tstar * n / U) for tstar in TIMES]
+    if not isinstance(rows, list) or len(rows) != len(steps):
+        raise ValueError("rows do not match the scheduled samples")
+    for row, step in zip(rows, steps):
+        if type(row.get("step")) is not int or row["step"] != step:
+            raise ValueError(f"unscheduled or duplicate step {row.get('step')!r}")
+        if not _number(row.get("tstar")) or abs(row["tstar"] - step * U / n) > 3e-17:
+            raise ValueError(f"wrong sample time at step {step}")
+        if not all(_number(row.get(key)) for key in (*NONNEGATIVE, *SIGNED)):
+            raise ValueError(f"missing or nonfinite diagnostic at step {step}")
+        if any(row[key] < 0 for key in NONNEGATIVE) or row["rho_min"] <= 0:
+            raise ValueError(f"negative error quantity or density at step {step}")
+        levels = row.get("spurious_pressure_scaled_by_level")
+        if (not isinstance(levels, list) or len(levels) != record["depth"]
+                or not all(_number(v) and v >= 0 for v in levels)):
+            raise ValueError(f"invalid per-level pressure at step {step}")
+
+
+def summarize(record):
+    validate_rows(record)
+    rows = record["rows"]
+    n = record["n"]
+    out = fit_rate(rows, n, record["viscosity"])
+    out.update(
+        eps=eps(n),
+        complete=record["completed"] is True,
+        residual_l2=max(r["residual_l2"] for r in rows),
+        phase_drift_abs=max(r["phase_drift_abs"] for r in rows),
+        spurious_pressure_scaled=max(r["spurious_pressure_scaled"] for r in rows),
+        spurious_pressure_rms=max(r["spurious_pressure_rms"] for r in rows),
+        amplitude_error_abs=max(abs(r["amplitude_error"]) for r in rows),
+        velocity_l2=max(r["velocity_l2"] for r in rows),
+        mass_relative=max(r["mass_relative"] for r in rows),
+    )
+    if out["rate_fit_valid"] and not all(
+            _number(v) for v in (out["rate"], out["rate_error"], *out["interval_rate_errors"],
+                                 out["log_fit_residual_max"])):
+        raise ValueError("nonfinite rate fit")
+    out["own_screens_pass"] = out["complete"] and out["rate_fit_valid"] and all(
+        out[key] <= out["eps"] for key in ("rate_error", "phase_drift_abs", "residual_l2")
+    ) and all(out[key] <= limit for key, limit in LIMITS.items())
+    return out
+
+
+def _usable(record):
+    try:
+        out = summarize(record)
+    except (KeyError, TypeError, ValueError):
+        return None
+    return out if out["complete"] else None
+
+
+def assess(base_control, fine_control, refined):
+    """Uniform root-spacing and finest-spacing controls versus refined runs.
+
+    INVALID_CONTROL: missing, incomplete, invalid-row or mixed-source controls.
+    INVALID_RUN: a refined record has invalid rows (schedule, NaN, sign).
+    CONTROL_SCREEN_FAIL: complete valid controls that fail their own screens;
+    refined own-screen results are kept, but no controlled comparison passes.
+    PASS/FAIL: every refined run's controlled_pass (own screens and budgets).
+    """
+    if base_control is None or fine_control is None or not refined:
+        return dict(status="INVALID_CONTROL", reason="missing control or refined run")
+    n = base_control["n"]
+    if (base_control["depth"], fine_control["depth"], fine_control["n"]) != (1, 1, 2 * n):
+        raise ValueError("controls must be uniform N and uniform 2N")
+    if any(r["depth"] != 2 or r["n"] != n for r in refined):
+        raise ValueError("refined runs must be depth 2 at root N")
+    if len({r.get("explosion") for r in refined}) != len(refined):
+        raise ValueError("duplicate refined explosion scheme")
+    sources = {repr(r.get("source")) for r in [base_control, fine_control, *refined]}
+    base, fine = _usable(base_control), _usable(fine_control)
+    if base is None or fine is None or len(sources) != 1:
+        return dict(status="INVALID_CONTROL",
+                    reason="incomplete/invalid control or mixed source")
+    controls_pass = base["own_screens_pass"] and fine["own_screens_pass"]
+    report = dict(base_control=base, fine_control=fine, refined={},
+                  controls_pass=controls_pass)
+    statuses = []
+    for r in refined:
+        try:
+            s = summarize(r)
+        except (KeyError, TypeError, ValueError) as error:
+            report["refined"][r["explosion"]] = dict(valid=False, reason=str(error))
+            statuses.append("INVALID_RUN")
+            continue
+        s["valid"] = True
+        # rate_error is None when a modal fit is unavailable; never a pass.
+        s["budget"] = {
+            key: (None if base[key] is None else max(BASELINE_FACTOR * base[key], floor))
+            for key, floor in FLOORS.items()
+        }
+        s["budget_pass"] = all(
+            s[key] is not None and s["budget"][key] is not None and s[key] <= s["budget"][key]
+            for key in FLOORS)
+        s["control_ratios"] = {
+            name: {key: (s[key] / c[key] if s[key] is not None and c[key] else None)
+                   for key in (*FLOORS, "spurious_pressure_rms")}
+            for name, c in (("root", base), ("finest", fine))
+        }
+        s["controlled_pass"] = controls_pass and s["own_screens_pass"] and s["budget_pass"]
+        report["refined"][r["explosion"]] = s
+        statuses.append("PASS" if s["controlled_pass"] else "FAIL")
+    if "INVALID_RUN" in statuses:
+        report["status"] = "INVALID_RUN"
+    elif not controls_pass:
+        report["status"] = "CONTROL_SCREEN_FAIL"
+    else:
+        report["status"] = "PASS" if all(v == "PASS" for v in statuses) else "FAIL"
+    return report

tests/validation/taylor_green/shear_wide_x.py

@@ -0,0 +1,20 @@
+"""One projected x-gap-width diagnostic (opt-in wide_x_shear_n128).
+
+Keep the nested outer boxes and all three spacings. Shrink only L2 in x,
+so each x-normal middle gap grows from 6 to 12 root cells; y gaps stay 6.
+This also reduces L2 volume and moves its x faces. It is a descriptive
+geometry contrast with no new qualification matrix, assessor or pass gate.
+"""
+
+import shear_nested as nested
+
+ROOT_N = nested.ROOT_N
+DEPTH = nested.DEPTH
+REFINEMENTS = [nested.REFINEMENTS[0],
+               [(56, 44, 96, 212), (160, 60, 200, 228)]]  # parent L1 coordinates
+CASES = ((100, ROOT_N, DEPTH, "projected_linear"),)
+LEAVES = [7936, 20352, 53760]
+HOPS = nested.HOPS
+WORK = sum(c * h for c, h in zip(LEAVES, HOPS))  # 540016640 active updates
+NU = nested.NU
+TAU = nested.TAU

tests/validation/taylor_green/test_axis_square.py

@@ -0,0 +1,172 @@
+"""Fixed square geometry, native sampling, POST phase and runner admission; CPU only."""
+import hashlib
+import io
+import json
+import sys
+import tempfile
+import unittest
+from copy import deepcopy
+from pathlib import Path
+from unittest.mock import patch
+from contextlib import redirect_stdout
+
+import numpy as np
+import run_case as rc
+import shear_axis_square as axis
+import shear_wave as sw
+import test_shear_wave as legacy
+from oracle import CX, CY, W, U, centers
+from CelerisLab.lbm.hierarchy import build_hierarchy, leaf_partition
+from CelerisLab.lbm.refinement import ACTIVE
+
+REPO = Path(__file__).resolve().parents[3]
+
+
+def masks(n, depth):
+    h = build_hierarchy(rc.config(n, 100), [] if depth == 1 else axis.REFINEMENTS)
+    np.testing.assert_array_equal(leaf_partition(h), np.ones((n, n)))
+    return [k == ACTIVE for k in h.kinds]
+
+
+class AxisSquareTests(unittest.TestCase):
+    def test_geometry_native_groups_and_work(self):
+        work = 0
+        for _, n, depth, _ in axis.CASES:
+            m = masks(n, depth)
+            p = axis.select(m, n)
+            self.assertEqual(len(p), 20 if depth == 2 else 8*(n//128)**2)
+            self.assertEqual(len({(v['level'], v['i'], v['j']) for v in p}), len(p))
+            roots = [(32, 64), (95, 63), (64, 32), (63, 95),
+                     (31, 64), (96, 63), (64, 31), (63, 96)]
+            expected = []
+            for group, (x, y) in enumerate(roots):
+                level = 1 if depth == 2 and group < 4 else 0
+                factor = (n//128) * 2**level
+                expected += [(level, factor*x+dx, factor*y+dy,
+                              [x+(dx+.5)/factor, y+(dy+.5)/factor])
+                             for dy in range(factor) for dx in range(factor)]
+            self.assertEqual([(v['level'], v['i'], v['j'], v['center']) for v in p], expected)
+            for name in axis.GROUPS:
+                group = [v for v in p if v['group'] == name]
+                self.assertEqual(sum(v['area'] for v in group), 1)
+                np.testing.assert_array_equal(np.mean([v['center'] for v in group], axis=0),
+                                              np.array(axis.GROUPS[name])+.5)
+                for v in group:
+                    self.assertTrue(m[v['level']][v['j'], v['i']])
+            w = rc.workload(m, axis.case_steps(n)[-1])
+            work += w['active_collision_updates']
+            if depth == 2:
+                self.assertEqual(w['active_cells_by_level'], [12288, 16384])
+                self.assertEqual(w['level_hops'], [8, 16])
+            self.assertEqual(axis.case_steps(n), [r*(n//128) for r in range(9)])
+        self.assertEqual(work, 1900544)
+
+    def test_postg_moments_stress_and_matching_fine_control(self):
+        for level in (0, 1):
+            x, _ = centers((33, 41), level)
+            k, h, tau = 4*np.pi/128, 2.**-level, .5+3*.0384*2**level
+            uy = U*np.sin(k*x+np.pi/4)
+            eq = sw.equilibrium(np.ones_like(x), np.zeros_like(x), uy)
+            g = axis.initial(x.shape, level, 128, .0384)
+            a = 3*W[:, None, None]*CX[:, None, None]*CY[:, None, None]*h*k*U*np.cos(k*x+np.pi/4)
+            np.testing.assert_allclose(g, eq-(tau-1)*a, rtol=0, atol=6e-17)
+            for v in (np.ones(9), CX, CY):
+                np.testing.assert_allclose(np.einsum('q,qyx->yx', v, g-eq), 0, rtol=0, atol=2e-16)
+            np.testing.assert_allclose(np.einsum('q,qyx->yx', CX*CY, g-eq),
+                                       (1-tau)*h*k*U*np.cos(k*x+np.pi/4)/3, atol=6e-17)
+            self.assertGreater(g.min(), 0)
+        np.testing.assert_array_equal(axis.initial((256, 256), 0, 256, .0768),
+                                      axis.initial((256, 256), 1, 128, .0384))
+
+    def test_signed_momentum_and_actual_center_time(self):
+        m = masks(128, 2)
+        probes = axis.select(m)
+        trace = axis.new_trace(probes, .0384, [rc.AXIS_SQUARE, 128, 2, 'projected_linear'])
+        for step in axis.STEPS:
+            arrays = []
+            for level, mask in enumerate(m):
+                x, _ = centers(mask.shape, level)
+                uy, _ = axis.exact(x, step, 128, .0384)
+                arrays.append(sw.equilibrium(np.full_like(x, 1.001), np.zeros_like(x), uy))
+            trace['steps'].append(step)
+            trace['values'].append(axis.sample(arrays, probes))
+        trace['bytes'] = axis.validate(trace)
+        self.assertEqual(trace['bytes'], len(json.dumps(trace, allow_nan=False).encode()))
+        for row in trace['group_moments']:
+            for name, v in row['groups'].items():
+                self.assertAlmostEqual(v['drho'], .001, places=14)
+                x = np.array([p['center'][0] for p in probes if p['group'] == name])
+                uy, gradient = axis.exact(x, row['root_step'], 128, .0384)
+                self.assertAlmostEqual(v['djy'], .001*uy.mean(), places=14)
+                self.assertAlmostEqual(v['mean_duy_dx'], gradient.mean(), places=14)
+            self.assertAlmostEqual(row['groups']['inner_left']['mean_duy_dx'],
+                                   -row['groups']['inner_bottom']['mean_duy_dx'], places=14)
+        with patch.object(axis, 'TRACE_MAX_BYTES', trace['bytes']-1), self.assertRaises(ValueError):
+            axis.validate(trace)
+        for mutate in (lambda t: t['steps'].pop(),
+                       lambda t: t['steps'].__setitem__(1, 0),
+                       lambda t: t['values'][1].__setitem__(0, float('nan')),
+                       lambda t: t['probes'].pop()):
+            bad = deepcopy(trace); mutate(bad)
+            with self.assertRaises(ValueError): axis.validate(bad)
+
+    def test_four_full_mock_schedules_and_old_rejection(self):
+        helper = legacy.ProbeTraceTests()
+        helper.setUp()
+        def arrays(m, n, t):
+            return [axis.initial(v.shape, level, n, U*n/100) for level, v in enumerate(m)]
+        for _, n, depth, scheme in axis.CASES:
+            with patch.object(helper, 'exact_arrays', side_effect=arrays):
+                r, counts, files = helper.run_mocked(n, depth, rc.AXIS_SQUARE, scheme,
+                                                     masks(n, depth), initializer=axis.initial)
+            self.assertEqual(counts[-1], 8*(n//128))
+            self.assertEqual([v['step'] for v in r['rows']], [0, 8*(n//128)])
+            self.assertEqual(r['probe_trace']['steps'], list(range(9)))
+            self.assertEqual(r['probe_trace']['probes'], axis.select(masks(n, depth), n))
+            self.assertEqual(r['mode'], [2, 0])
+            self.assertEqual(r['phase'], np.pi/4)
+            self.assertEqual(r['initialization'], axis.INITIALIZATION)
+            self.assertEqual(r['limits'], {})
+            self.assertIsNone(r['screening_pass'])
+            self.assertFalse(r['qualification_eligible'])
+            self.assertEqual(files, ['probe.json'])
+        old = legacy.NestedPresetTests(); old.setUp()
+        records = old.nested_set(); records[-1]['diagnostic'] = rc.AXIS_SQUARE
+        self.assertEqual(old.mod.assess_nested(records, 'r')['status'], 'INVALID_SET')
+        records = [legacy.receipt(128, 1), legacy.receipt(256, 1), legacy.receipt(128, 2),
+                   legacy.receipt(128, 2, 'projected_linear')]
+        records[-1].update(diagnostic=rc.AXIS_SQUARE, initialization=axis.INITIALIZATION)
+        self.assertEqual(old.mod.assess(records, 'r')['status'], 'INVALID_SET')
+        self.assertNotIn(rc.AXIS_SQUARE, old.mod.PRESETS)
+        with patch.object(axis, 'sample', return_value=[float('nan')]*24):
+            r, _, _ = helper.run_mocked(128, 1, rc.AXIS_SQUARE, 'constant', masks(128, 1),
+                                        initializer=axis.initial)
+        self.assertIn('error', r['probe_trace'])
+        self.assertTrue(r['completed'])
+        self.assertEqual(len(r['rows']), 2)
+
+    def test_admission_and_module_pin(self):
+        from tests.validation.multigrid import check_projected_pairs as gate
+        self.assertEqual(hashlib.sha256(Path(axis.__file__).read_bytes()).hexdigest(), rc.SHEAR_AXIS_SQUARE_SHA256)
+        with tempfile.TemporaryDirectory() as tmp:
+            base = ['run_case.py', '--repo', str(REPO), '--expected-revision', 'f'*40,
+                    '--output', str(Path(tmp)/'case.json'), '--dry-run', '--re', '100',
+                    '--flow', 'shear_wave', '--diagnostic', rc.AXIS_SQUARE, '--probe-trace']
+            for n, depth, scheme, valid in [(n, d, s, True) for _, n, d, s in axis.CASES] + [
+                    (512, 1, 'constant', False), (256, 2, 'projected_linear', False), (128, 3, 'constant', False)]:
+                for extra in ([], ['--final-snapshot'], ['--early-pressure'], ['--flow', 'taylor_green'], ['--re', '1000']):
+                    argv = base + ['--n', str(n), '--depth', str(depth), '--explosion', scheme] + extra
+                    with patch.object(sys, 'argv', argv), redirect_stdout(io.StringIO()), patch('sys.stderr', io.StringIO()), \
+                         patch.object(rc, 'verify_source', return_value={}) as verify, patch.object(rc, 'runtime_source', return_value={}):
+                        if valid and not extra:
+                            self.assertEqual(rc.main(), 0)
+                            verify.assert_called_once_with(REPO, 'f'*40, 'shear_axis_square', probes=True)
+                        else:
+                            with self.assertRaises(SystemExit): rc.main()
+                            verify.assert_not_called()
+        with patch.object(gate, 'preflight', return_value=rc.NUMERICAL_REVISION), \
+             patch.object(rc, 'provenance', return_value=dict(source_tree_sha256=rc.SOURCE_SHA256)):
+            rc.verify_source(REPO, 'r', 'shear_axis_square', probes=True)
+            for module, key, value in ((axis, '__file__', '/wrong/helper.py'), (rc, 'SHEAR_AXIS_SQUARE_SHA256', 'wrong')):
+                with patch.object(module, key, value), self.assertRaisesRegex(RuntimeError, 'shear_axis_square'):
+                    rc.verify_source(REPO, 'r', 'shear_axis_square', probes=True)

tests/validation/taylor_green/test_projected_pairs.py

@@ -17,6 +17,7 @@ from unittest.mock import patch
 import numpy as np
 
 import run_case
+import assess_projected_pairs as assessor
 from assess_projected_pairs import (BUILD_SOURCES, CASES, NUMERICS, NUMERICAL_REVISION,
                                     SOURCE_SHA256, assess)
 from oracle import LIMITS, TIMES, U, rectangles
@@ -31,7 +32,7 @@ RUNTIME = dict(device=dict(name="host mock", pci_bus_id="mock", capability=[7, 0
 
 def source():
     return dict(revision=MOCK_REVISION, dirty=False, source_tree_sha256=SOURCE_SHA256,
-                harness_sha256={"run_case.py": "a" * 64},
+                harness_sha256={"run_case.py": "a" * 64, "oracle.py": "c" * 64},
                 build_capture_sha256=run_case.BUILD_CAPTURE_SHA256)
 
 
@@ -42,12 +43,14 @@ def build_metadata(size):
                 arch="sm_70", flags=["--use_fast_math"], ptx_sha256="b" * 64)
 
 
-def records(early=False):
+def records(early=False, diagnostic=None):
     from CelerisLab.lbm.hierarchy import build_hierarchy
     from CelerisLab.lbm.refinement import ACTIVE
 
     out = []
     for re, n, depth, scheme in CASES:
+        if diagnostic:
+            n *= 2
         cfg = run_case.config(n, re)
         refinements = [] if depth == 1 else rectangles(n, depth)
         h = build_hierarchy(cfg, refinements)
@@ -66,6 +69,8 @@ def records(early=False):
             early_pressure=dict(enabled=early, rows=[
                 dict(step=s, tstar=s*U/n, pressure_l2=.01 if s not in main_steps else 0.0) for s in early_steps],
                 sampled_max_pressure_l2=.01 if early else None)))
+        if diagnostic:
+            out[-1]["diagnostic"] = diagnostic
     return out
 
 
@@ -251,7 +256,7 @@ class ProjectedPairsTests(unittest.TestCase):
     def test_pinned_build_sources_match_host_generated_inputs(self):
         from CelerisLab.cuda import compiler_v2
 
-        for size in (128, 256):
+        for size in (128, 256, 512):
             cfg = replace(run_case.config(size, 100), nx=10, ny=10)
             cfg.validate()
             root = compiler_v2.generate_config(cfg)
@@ -263,6 +268,111 @@ class ProjectedPairsTests(unittest.TestCase):
             finally:
                 compiler_v2.cleanup_build_dir(root)
 
+    def test_scaled_geometry_work_and_frozen_gates(self):
+        data = records(True, run_case.SCALED_DIAGNOSTIC)
+        self.assertEqual(sum(r["workload"]["active_collision_updates"] for r in data), 4714397696)
+        self.assertEqual([r["viscosity"] for r in data], [.0768, .1536, .0768, .0768])
+        self.assertEqual(data[-1]["tau_by_level"], [.7303999999999999, .9608])
+        for r in data:
+            self.assertEqual([row["tstar"] for row in r["rows"]], TIMES)
+            self.assertEqual(len(r["early_pressure"]["rows"]), 65)
+            if r["depth"] == 2:
+                self.assertEqual(r["refinements"], [[(32, 32, 224, 192)]])
+                self.assertEqual(r["workload"]["active_cells_by_level"], [34816, 122880])
+                self.assertEqual(r["workload"]["level_hops"], [4096, 8192])
+        result = assess(data, MOCK_REVISION, diagnostic=run_case.SCALED_DIAGNOSTIC)
+        self.assertTrue(result["passed"])
+        self.assertEqual(result["floors"], dict(velocity_l2=.002, pressure_l2=.02, energy_relative=.004))
+        self.assertTrue(all(row["floor_dominates"] for row in result["comparisons"]))
+        data[-1]["rows"][-1]["velocity_l2"] = .00200001
+        self.assertFalse(assess(data, diagnostic=run_case.SCALED_DIAGNOSTIC)["passed"])
+        self.assertFalse(assess(data)["passed"])
+        data[-1]["rows"][-1]["velocity_l2"] = 0.0
+        for mutate in (lambda r: r.pop("diagnostic"), lambda r: r.update(diagnostic="wrong"),
+                       lambda r: r["source"].update(revision="wrong"),
+                       lambda r: r["early_pressure"].update(enabled=False),
+                       lambda r: r.update(refinements=[[(32, 32, 224, 200)]])):
+            bad = deepcopy(data)
+            mutate(bad[-1])
+            self.assertFalse(assess(bad, MOCK_REVISION, diagnostic=run_case.SCALED_DIAGNOSTIC)["passed"])
+
+    def test_raw_resolution_changes_and_reference_identity(self):
+        old, new = records(True), records(True, run_case.SCALED_DIAGNOSTIC)
+        for r in old:
+            r["source"]["revision"] = assessor.REFERENCE_REVISION
+        old[-2]["rows"][-1]["velocity_l2"] = .004  # historical constant failure remains usable
+        old[-1]["rows"][-1]["velocity_l2"] = .001
+        new[-1]["rows"][-1]["velocity_l2"] = .0015  # floor pass, but worse raw error
+        result = assessor.resolution_trend(new, old, MOCK_REVISION)
+        self.assertTrue(result["valid"])
+        self.assertTrue(result["trend_interpretation_ready"])
+        self.assertFalse(result["reference_scheme_results"]["constant"]["passed"])
+        self.assertEqual((len(result["per_time"]), len(result["worst_post_initial"]),
+                          len(result["uniform256_bridge"])), (80, 16, 20))
+        row = next(r for r in result["per_time"] if r["role"] == "projected_linear"
+                   and r["metric"] == "velocity_l2" and r["tstar"] == .48)
+        self.assertEqual((row["signed_change"], row["new_to_old"], row["change_percent"]), (.0005, 1.5, 50.))
+        self.assertTrue(assess(new, diagnostic=run_case.SCALED_DIAGNOSTIC)["passed"])
+        self.assertIsNone(result["per_time"][0]["new_to_old"])  # zero denominator is explicit
+        self.assertEqual(result["per_time"][0]["ratio_unavailable_reason"], "zero historical error")
+        new[-1]["rows"][-1]["velocity_l2"] = .06  # retain raw errors even when absolute screen fails
+        self.assertTrue(assessor.resolution_trend(new, old, MOCK_REVISION)["valid"])
+        self.assertFalse(assess(new, diagnostic=run_case.SCALED_DIAGNOSTIC)["passed"])
+        new[-1]["rows"][-1]["velocity_l2"] = .0015
+        for sample in ("rows", "early_pressure"):
+            bad = deepcopy(new)
+            if sample == "rows":
+                bad[0]["rows"][-1]["velocity_l2"] = .0001
+            else:
+                bad[0]["early_pressure"]["rows"][1]["pressure_l2"] = .009
+            result = assessor.resolution_trend(bad, old, MOCK_REVISION)
+            self.assertTrue(result["valid"])
+            self.assertFalse(result["trend_interpretation_ready"])
+        for mutate in (lambda r: r["source"].update(revision=MOCK_REVISION),
+                       lambda r: r["source"].update(source_tree_sha256="wrong"),
+                       lambda r: r["source"]["harness_sha256"].update(**{"oracle.py": "wrong"}),
+                       lambda r: r.update(diagnostic=run_case.SCALED_DIAGNOSTIC),
+                       lambda r: r.update(refinements=[]), lambda r: r["rows"].pop()):
+            bad = deepcopy(old)
+            mutate(bad[-1])
+            self.assertFalse(assessor.resolution_trend(new, bad, MOCK_REVISION)["valid"])
+        with tempfile.TemporaryDirectory() as tmp:
+            paths = [Path(tmp) / f"{i}.json" for i in range(4)]
+            for path, receipt in zip(paths, old):
+                path.write_text(json.dumps(receipt))
+            with self.assertRaisesRegex(ValueError, "receipt hashes"):
+                assessor.load_reference(paths)
+            witnesses = {p.name: hashlib.sha256(p.read_bytes()).hexdigest() for p in paths}
+            with patch.object(assessor, "REFERENCE_RECEIPTS", witnesses):
+                self.assertEqual(assessor.load_reference(paths), json.loads(json.dumps(old)))
+                with self.assertRaises(ValueError):
+                    assessor.load_reference(paths[:-1] + paths[:1])
+                paths[-1].write_text(paths[-1].read_text() + " ")
+                with self.assertRaises(ValueError):
+                    assessor.load_reference(paths)
+
+    def test_scaled_runner_requires_explicit_bounded_diagnostic(self):
+        with tempfile.TemporaryDirectory() as tmp:
+            base = ["run_case.py", "--repo", str(REPO), "--expected-revision", MOCK_REVISION,
+                    "--output", str(Path(tmp) / "case.json"), "--dry-run"]
+            diagnostic = ["--diagnostic", run_case.SCALED_DIAGNOSTIC, "--early-pressure"]
+            for n, depth, re, extra, valid in (
+                    (512, 1, 100, [], False), (512, 1, 100, diagnostic, True),
+                    (256, 2, 100, diagnostic, True), (128, 2, 100, diagnostic, False),
+                    (256, 3, 100, diagnostic, False), (256, 2, 1000, diagnostic, False),
+                    (256, 2, 100, diagnostic[:2], False), (512, 2, 100, diagnostic, False)):
+                argv = base + ["--n", str(n), "--depth", str(depth), "--re", str(re)] + extra
+                with self.subTest(argv=argv), patch.object(sys, "argv", argv), \
+                     patch.object(run_case, "verify_source", return_value=source()) as verify, \
+                     redirect_stdout(io.StringIO()), patch("sys.stderr", io.StringIO()):
+                    if valid:
+                        self.assertEqual(run_case.main(), 0)
+                    else:
+                        with self.assertRaises(SystemExit) as caught:
+                            run_case.main()
+                        self.assertEqual(caught.exception.code, 2)
+                        verify.assert_not_called()
+
     def test_source_preflight_requires_clean_exact_revision_and_tree(self):
         import oracle
         from tests.validation.multigrid import check_projected_pairs as gate
@@ -319,7 +429,7 @@ class ProjectedPairsTests(unittest.TestCase):
                  patch.object(run_case, "runtime_identity", side_effect=AssertionError("CUDA reached")), \
                  redirect_stdout(stdout):
                 self.assertEqual(run_case.main(), 0)
-            verify.assert_called_once_with(REPO, MOCK_REVISION)
+            verify.assert_called_once_with(REPO, MOCK_REVISION, "taylor_green", probes=False)
             self.assertTrue(json.loads(stdout.getvalue())["dry_run"])
             self.assertFalse(output.exists())
 
@@ -349,9 +459,15 @@ class ProjectedPairsTests(unittest.TestCase):
 
     def test_mocked_runner_default_early_and_failure(self):
         # Replace the GPU context and steppers before import. No CUDA module or flow is used.
-        for early, depth, fail in ((False, 1, None), (False, 2, None), (True, 2, None),
+        cases = [(early, depth, fail, 128, None, "projected_linear" if early else "constant")
+                 for early, depth, fail in
+                 ((False, 1, None), (False, 2, None), (True, 2, None),
                                    (True, 2, "resource"), (True, 2, "nonfinite"),
-                                   (True, 2, "probe_nonfinite")):
+                                   (True, 2, "probe_nonfinite"))]
+        cases += [(True, depth, None, n, run_case.SCALED_DIAGNOSTIC, scheme)
+                  for n, depth, scheme in ((256, 1, "constant"), (512, 1, "constant"),
+                                          (256, 2, "constant"), (256, 2, "projected_linear"))]
+        for early, depth, fail, n, diagnostic, scheme in cases:
             calls, selectors = [], []
 
             class FakeRun:
@@ -395,11 +511,14 @@ class ProjectedPairsTests(unittest.TestCase):
 
             with tempfile.TemporaryDirectory() as tmp:
                 output = Path(tmp) / "case.json"
-                argv = ["run_case.py", "--repo", str(REPO), "--re", "100", "--n", "128",
+                argv = ["run_case.py", "--repo", str(REPO), "--re", "100", "--n", str(n),
                         "--depth", str(depth), "--output", str(output),
                         "--expected-revision", MOCK_REVISION, "--run-gpu"]
+                argv += ["--explosion", scheme]
                 if early:
-                    argv += ["--early-pressure", "--explosion", "projected_linear"]
+                    argv += ["--early-pressure"]
+                if diagnostic:
+                    argv += ["--diagnostic", diagnostic]
                 with patch.dict(sys.modules, modules), patch.object(sys, "argv", argv), \
                      patch.dict("os.environ", CUDA_VISIBLE_DEVICES="mock"), \
                      patch.object(run_case, "verify_source", return_value=source()) as verify, \
@@ -412,16 +531,17 @@ class ProjectedPairsTests(unittest.TestCase):
                     else:
                         self.assertEqual(run_case.main(), 0)
                 receipt = json.loads(output.read_text())
-                verify.assert_called_once_with(REPO, MOCK_REVISION)
-                self.assertEqual(selectors, ["projected_linear" if early else "constant"] if depth == 2 else [])
+                verify.assert_called_once_with(REPO, MOCK_REVISION, "taylor_green", probes=False)
+                self.assertEqual(selectors, [scheme] if depth == 2 else [])
                 self.assertEqual(receipt["source"], source())
                 self.assertEqual(receipt["runtime_identity"], RUNTIME)
                 self.assertEqual(receipt["completed"], not fail)
+                self.assertEqual(receipt.get("diagnostic"), diagnostic)
                 self.assertEqual(calls[:2], [0, 1])  # READY probe is part of this trajectory
                 if not fail:
                     self.assertEqual([r["tstar"] for r in receipt["rows"]], TIMES)
                     self.assertEqual(len(receipt["early_pressure"]["rows"]), 65 if early else 0)
-                    self.assertEqual(calls[-1], 2048)
+                    self.assertEqual(calls[-1], 16*n)
                 else:
                     self.assertEqual(len(receipt["rows"]), 1)
                     self.assertEqual(len(receipt["early_pressure"]["rows"]),