Answers the two questions gating the rest of TD-WP-0002.
Classifier: stratify evidence into S1 surface / S2 realization / S3 judgment.
Adaptation writes only to S1; claims and invariants are run inputs with no
adaptation write path, so False Adaptation Rate = 0 is architectural rather
than a tuning target. Classification is a total function over three signals,
defaulting to AMBIGUOUS on missing evidence; a surface change concurrent with
a verdict change is PRODUCT_DEFECT. Semantic actions declare permitted
surfaces so surface-substitution cannot pass as recovery.
Provenance: claims require a source causally independent of the
implementation. agent-from-implementation output is an exploratory hypothesis
until a human promotes it.
New adoption precondition D-07: test-driver requires an independent
observation channel into the system under test.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Assistant: claude-code
Assistant-Model: opus
Assistant-Process: 1629012@bnt-lap001
Assistant-Session: 78d4fb13-8a1e-474b-87a3-9b9261c49a39
