core/evals/anti_regression
Shay ab4c7cb0c3
feat(epistemic): Phase 3 state tagging spine (#220)
* feat(epistemic): add first-class state enums

* feat(epistemic): tag TurnEvent with state axes

* feat(epistemic): serialize turn state axes

* feat(packs): tag curated and inferred unit entries

* feat(epistemic): expose word-level state on manifold

* feat(epistemic): expose vault status mapping

* feat(epistemic): preserve pack entry states through compiler

* test(epistemic): cover phase 3 state tagging spine

* feat(runtime): wire epistemic_state + normative_clearance into ChatResponse

Add first-class epistemic_state and normative_clearance fields to
ChatResponse (defaulting to "undetermined"/"unassessable" for backward
compat). Import epistemic_state_for_grounding_source and
clearance_from_verdicts into chat/runtime.py and populate both fields on
the stub path (TurnEvent + ChatResponse) and the main path (TurnEvent +
ChatResponse). Fix the test fixture to use "euro per hour" (a genuinely
composed unit) instead of "dollars per hour" which is a curated lexicon
entry and returns DECODED, not INFERRED.

* test(cognition): update term_capture_rate baseline from 0.9167 to 1.0

unknown_logos_019 now correctly surfaces "light" as a pack-resident
token near the logos versor — producing term_capture_rate 1.0 on both
main and Phase 3. The 0.9167 pin was stale relative to a surface change
already on main; Phase 3 did not introduce this shift.
2026-05-24 11:26:06 -07:00
..
__init__.py feat(adr-0057): anti-regression demo — three-gate defense against learning harm 2026-05-18 10:52:23 -07:00
run_demo.py feat(epistemic): Phase 3 state tagging spine (#220) 2026-05-24 11:26:06 -07:00