core/evals/gsm8k_math/train_sample
Shay 0ca48cc9a3 feat(gsm8k): add bounded experience flywheel for sealed practice
Introduce deterministic practice-memory infrastructure that adapts sealed
scout output into compact, retention-gated ExperienceRecords with family,
hazard, and promotion-candidate summaries. No serving, corpus, pack, or
report.json mutation — measurement-only adapter for future sprint reuse.
2026-06-17 21:05:02 -07:00
..
v1 feat(gsm8k): add bounded experience flywheel for sealed practice 2026-06-17 21:05:02 -07:00
__init__.py feat(gsm8k): ADR-0126 P6 — train-sample runner + exit-criterion gate 2026-05-23 06:33:06 -07:00