Commit graph

2 commits

Author SHA1 Message Date
Shay
76032db9a0
feat(ADR-0161.2): HITL queue backpressure — pending-count cap + queue_full reports (#311) 2026-05-26 16:16:08 -07:00
Shay
ec5d6f5ac7
feat(ADR-0161.1): core teaching queue list|show — read-only queue projection (#296)
* docs(math): ADR-0163 — path to GSM8K mastery via candidate-graph admissibility (proposed)

Audit reframes the math roadmap entirely.

State of main: every named math capability axis (G1..G5, S1) passes
at 100% with wrong=0 on its controlled lane.  binding_graph,
math_versor_arithmetic, math_symbolic_equivalence, math_parser,
math_candidate_parser, math_solver, math_verifier, math_realizer,
math_problem_graph — all landed.  The worktrees on disk are stale
forks.

State of GSM8K (50-case train sample): correct=0, refused=50, wrong=0.
Every refusal reason is identical: "candidate_graph: no admissible
candidate for statement: <STATEMENT>".

The reframe: the gap is NOT in operator algebra, NOT in binding graph
internals, NOT in symbolic equivalence.  The gap is in
generate/math_candidate_graph.py — the admissibility surface that
turns a natural-language statement into a candidate the downstream
pipeline can consume.  The capability axes pass at 100% because they
test statement shapes the candidate-graph already admits.  GSM8K
refuses at 100% because its statements span shapes the candidate-graph
has never been taught.

Six-phase plan to lift GSM8K under the thesis "decodes, not generates":

A. Refusal taxonomy (measure before building)
B. Exemplar corpora per shape category (≤20 statements each, ≤3 per round)
C. Contemplation runner ingests exemplars; emits DerivedRecognizer
   proposals
D. Operator ratifies through ADR-0161 HITL queue (no new surface)
E. Re-baseline GSM8K train sample.  Round 1 exit: correct ≥ 10, wrong = 0.
   Round 2: ≥ 25.  Round 3: ≥ 35.
F. Scale to public/v1 (200 cases, target correct ≥ 100), then
   holdout (measurement-only — never tune against).

Three non-negotiables:
- wrong = 0 at every phase.  Auto-rejected by replay gate, not by
  operator vigilance.
- No hand-rolled recognizers in generate/.  Every recognizer lands
  via contemplation → proposal → review corridor.
- Active corpus mutation only via accept_proposal.

Status: proposed.  Implementation lands as three PRs starting with
Phase A scaffolding.

Scope discipline: docs-only.  No code, no eval changes, no corpus
mutation.

* feat(ADR-0161.1): core teaching queue list|show — read-only queue projection

* fix(ADR-0161.1): restore gap-queue CLI + rename new commands to hitl-queue + R1..R5 refinements
2026-05-26 11:42:51 -07:00