Introduces teaching/ module with three-stage correction pipeline:
1. correction.py — extracts CorrectionCandidate from correction intents,
binding correction text to the prior turn it references
2. review.py — validates candidates: rejects identity overrides (17
marker patterns) and empty corrections; produces ReviewedTeachingExample
with deterministic SHA-256 review hash
3. store.py — bounded FIFO store for accepted examples; emits
PackMutationProposal objects instead of mutating the vocab manifold
directly; retrievable by subject
Design invariants:
- Identity override attempts are rejected at the review gate
- Pack mutations are proposal-only (applied=False by default)
- All traces are deterministic: same input → same candidate_id and review_hash
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
