core/evals/calibration/__init__.py
Shay 64268436fb feat(evals): calibration lane v1 — typed cognitive signals
Adds the third Phase 2 lane: calibration measures whether CORE's runtime
emits distinguishable, typed evidence for three cognitive states:

  no_grounding         vault_hits == 0 (gate fired, no recall)
  coherent             vault_hits > 0  (vault recall fired)
  correction_proposed  pack_mutation_proposal is not None

Each case runs on its own fresh CognitiveTurnPipeline to avoid
cross-case field-state drift (the gate's geometric recall score is
sensitive to vault content drift across turns).

v1 results: dev 12/12, public/v1 24/24, holdouts/v1 18/18 — all classes
score 1.0 across all splits.

Architectural findings logged in evals/calibration/gaps.md:

  1. The ingest gate fires on a *geometric* CGA-recall score, not on
     semantic OOD. 6/42 hand-chosen OOD prompts fire the gate with a
     warmed vault; the other 36 land geometrically near in-pack
     versors after morphological grounding. v1 measures the reliable
     recall/correction signals, not semantic OOD detection.

  2. CognitiveTurnPipeline.run() unconditionally overrides the
     runtime's gate-safety surface with the realizer surface. The OOD
     marker survives in walk_surface but not in surface. v1 classifies
     on vault_hits (preserved) rather than surface (overridden).

Both findings are filed as suggested follow-up work, not v1 blockers.
2026-05-16 12:22:16 -07:00

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