- Add docs/teaching_order.md as durable reference for curriculum ordering.
Five-layer rule (identity axes -> atomic definitions -> binary relations ->
composed relations -> domain expansion), grounded in ratify.py G3,
MasteredCoursesIndex, and exact CGA distance. Linked from README.md.
- Mark formation_pipeline_plan.md as IMPLEMENTED (back half); enumerate the
open items not closed by Phases 1-7 (additional templates, first formation-
routed curriculum, G2 activation).
- Add 2026-05-17 status block to capability_roadmap.md covering the FSC chain,
epistemic schema closure, formation pipeline back half, FSC v3 proof matrix,
cost benchmark, and the pulse import fix.
Implement the eval infrastructure defined in ADR-0016 before building new
eval lanes. This establishes the discipline that governs the entire
capability roadmap.
- Generic eval framework (evals/framework.py): lane discovery, versioned
scoring, result persistence
- Cognition lane retrofitted into new convention: 45 cases split into
stratified dev (13) / public v1 (13) / holdout (19) sets with contract,
runner, and recorded results
- Generalized `core eval <lane>` CLI: dynamic lane discovery, --list,
--version, --split, --save, --json flags
- Holdout runner scaffold: plaintext fallback, encryption interface ready
- Baseline runner scaffold: pluggable frontier model interface
- Fix: CognitiveTurnPipeline.run() crashed on turn_log[-1] when the
unknown-domain gate returned a stub without appending to turn_log
- ADR-0016, eval_methodology.md, PROGRESS.md, capability gates session log
Phase 0 exit audit found two methodology issues:
1. Pipeline turn_log crash (fixed here)
2. Versor drift in multi-turn sessions (pre-existing, under investigation)
