[Superseded by #343 and #347] Audit finite gauge ambiguity beyond local query observability - #341
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[Superseded by #343 and #347] Audit finite gauge ambiguity beyond local query observability#341FlorianPfaff wants to merge 1 commit into
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Validation completed for head 9f3cab5db1dcb09841ce53d448b9ce657379be69.
- Full hosted matrix passed: Python 3.10-3.14 plus declared runtime floors; build/install smoke jobs also passed.
- The Python 3.12 job
99171359127in Tests run 33279210423 reports 1908 passed, 10 existing skips, 2 existing warnings.tests/test_axial_gauge_query.pyexecuted all 28 tests, including the real local-gate integration; none of those tests were skipped. - Fail-closed quality run
33279210438, provider preflight33279210432, and security scanning33279210425all passed. The quality workflow checks changed Python with Ruff and the existing stable-interface list with mypy; this is not a claim of full new-module mypy coverage. - CI checked out synthetic merge
19d4a2e70c17d2604f04d4c8296fd93eb0ac22ab. GitHub reports treedbf050a408e3ad8603500d7b426aeb024138370c, identical to the PR head's tree. - All four pushed files' Git-blob identities match the locally tested files.
Paper-side development output, source/output hashes, scope, and CI provenance are retained in BayesianPhysTwin-Paper PR #115. This supersedes the initial pending-CI paragraph, without promoting an empirical claim.
The attempted ready-for-review transition hit a connector GraphQL schema error (Repository.fullDatabaseId). No merge or auto-merge was requested.
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Scientific question
Can a locally supported physical query still vary over a finite unobserved gauge, and can decision-relevant common uncertainty cancel even when marginal intervals are broad?
This follows the partial-gauge and local-query work in #332 and #338. It is an analysis-only method extension and deterministic development control, not another provider adapter or a change to a target-side admission policy. It does not claim to repair a localized real-provider failure or advance a provider readiness stage.
Concrete counterexample
An exactly collinear x-axis overlap is invariant under rotation about x. For a probe initially at
(0, 0.1, 0), the scalar query isy(phi) = 0.1 cos(phi). Its first twist derivative at zero vanishes, while its finite range is[-100, 100] mm.The existing rank-six analytic factor gives direct local support 1, variance reduction 10/11, and worst variance ratio 1/11; the existing illustrative local gate admits the scalar query. This is not a bug in that explicitly local calculation and does not establish posterior undercoverage. It falsifies interpreting the local report as global finite-orbit invariance or a distribution-free decision certificate.
Method
Adds a NumPy-only experimental kernel for registered axial rotation groups and affine queries:
The action check is analysis only: no action, belief selection, provider export, or production admission rule is changed. BayesianPhysTwin retains complete-belief selection and exact fallback ownership.
Controls
[-100, 100] mm40 mmfor every angle[-200, 200] mm; coincident axes do not authorize merging0.1-yand0.1+y200 mmworst-case regret; exceeds illustrative50 mmbudget0.05+yand0.10+yAssumptions and novelty boundary
Sharpness is restricted to the declared product of full axial circles, fixed remaining transform parameters, and affine queries/losses. A rank-six factor, a near-collinear support, or a small Jacobian does not establish a finite likelihood symmetry. Smaller/coupled domains give conservative rather than necessarily sharp bounds. This is float64 evaluation of analytic formulas, not certified interval arithmetic.
Rodrigues' formula, harmonic support functions, group symmetry, and worst-case regret are classical. The documentation cites X-ICP and symmetry-reduced filtering and does not claim an exhaustive novelty result. The proposed contribution is the narrowly scoped finite-gauge/shared-lineage audit and its concrete negative and positive controls, not a new generic quotient theorem or a fourth manuscript.
Compatibility and evidence boundary
Exactly four additive files: kernel, reproducer, tests, and derivation/usage note. No stable API, existing result, calibration, exporter, workflow, protected dataset, source/target roster, runtime request, or
claims.jsonchange. No provider, target, BayesianPhysTwin, or Causal4D experiment executed. No new hardware acquisition is assumed. #333 remains separately governed and unqualified.Validation before publication
Draft pending exact-head CI and inspection. No auto-merge requested. Paper-facing development output will be retained separately without promoting an empirical claim.