ruv 4700764a3a diag(proof): characterize cross-microarch divergence on FAIL ...

Add a divergence report (count + fraction outside tolerance, per-feature
breakdown, worst offenders) so we can tell a few branch-flip elements
from a pervasive regression. The CI tolerance gate failed with max|d|=0.85
/ maxrel=345 — far beyond FP rounding — so we need to see WHICH feature
elements diverge structurally on the Azure runner.

2026-05-31 12:12:20 -04:00

..

cir_verify_helper.py

feat(signal): ADR-134 CSI→CIR via ISTA + NeumannSolver warm-start (#837)

2026-05-28 16:24:37 -04:00

expected_calibration_features.sha256

feat(signal): ADR-135 — empty-room baseline calibration

2026-05-28 18:57:08 -04:00

expected_cir_features.sha256

fix(proof): regenerate ADR-134 CIR witness hash after CIR fixes

2026-05-31 11:11:38 -04:00

expected_features_reference.npz

fix(proof): cross-platform tolerance gate for verify.py determinism

2026-05-31 12:07:00 -04:00

expected_features.sha256

fix(verify): make v1 proof tolerant of unrelated .env keys + regen hash

2026-05-26 08:28:31 -04:00

generate_reference_signal.py

chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430)

2026-04-25 23:07:52 -04:00

sample_csi_data.json

chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430)

2026-04-25 23:07:52 -04:00

sample_csi_meta.json

chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430)

2026-04-25 23:07:52 -04:00

verify.py

diag(proof): characterize cross-microarch divergence on FAIL

2026-05-31 12:12:20 -04:00