Replace the regex sentence-template front-end of the math admissibility
layer with an incremental compositional reader. Lock the architectural
boundary that regex is permitted only at the lexeme level, never as
sentence-structure templates.
ADR-0164 (Proposed) — Incremental Comprehension Reader. Word-by-word
state accumulation over a closed set of semantic categories, with the
operational lexicon living as a pack-shaped data artifact under
language_packs/data/en_core_math_v1/. Reader output type matches the
existing regex parser's output, so the binding-graph admissibility
(ADR-0132/0133/0134/0135), the solver (ADR-0116), and the verifier
(ADR-0117) stay unchanged. wrong=0 is preserved by construction —
the reader produces inputs to the existing admissibility gate, not a
bypass around it. Phased coexistence with the regex layer during
transition; regex sentence templates removed in Phase 3.
ADR-0165 (Proposed) — Regex Scope Rule. Structural invariant: regex
matches one piece of orthographic material with a closed rule
(currency literal, fraction literal, percentage, time-amount, closed
unit-noun sets), never a sentence shape. Lexeme-primitive registry is
closed and grown through the same contemplation -> proposal -> HITL
review corridor that grows vocabulary (ADR-0150 / 0152 / 0155 / 0161).
The engine acquires new recognition tools through reviewed teaching,
not through operator edits to parser code.
ADR-0163's diagnosis (front-end is the bottleneck) is reaffirmed.
Its Phase B-E prescription (regex DerivedRecognizers via
recognizer_match.py) is partially superseded by ADR-0164. ADR-0136
and its S-family (S.1 / S.2 / S.3 / S.4) have the same disposition:
regex sentence-template prescription superseded; empirical refusal
taxonomies and closed-set vocabulary preserved as lexicon seed.
The HITL corridor architecture is preserved; what flows through it
changes from regex recognizers to lexicon entries, categories, and
lexeme primitives.
Session log SESSION-2026-05-26-comprehension-reader.md captures the
narrative of how this decision emerged from the post-D.2 train-sample
baseline review (correct=3 refused=47 wrong=0, 34/47 refusals at the
question gate).
No runtime code changes. ADRs only.
S.4 extends initial-state parsing with two closed subject-slot widenings:
- Indefinite-article: `A <noun> has N <unit>` (gsm8k-0046 sentence 1)
- Prepositional-prefix existential: `In a <place>, there are N <unit>...`
(gsm8k-0038 sentence 1)
Design choice: sibling regexes (_INITIAL_HAS_INDEF_RE,
_INITIAL_THERE_ARE_PREFIX_RE) rather than widening the global _ENTITY
pattern — preserves existing behavior across all other initial-state
extractors (cascade-safety).
Per the S.x corridor discipline: no new short-circuit; new candidates
flow through extract_initial_candidates and the existing graph machinery.
No solver/graph/verifier changes.
Honest delta:
- Direct admissions: 0 (admission set unchanged at {0014, 0018, 0042})
- Barrier shifts: +2 (gsm8k-0038: novel_initial_form → compound_comparative;
gsm8k-0046: novel_initial_form → fraction_operand)
- wrong == 0 on every lane
Bundled with this PR for ledger currency:
1. tests/test_rescan_v3_invariants.py refactored to read frozen on-disk
v3 artifacts only (no more re-running build_rescan against live
parser). The previous design tied a historical snapshot to live code
and broke the moment any new phase landed.
2. rescan_v4.py + refusal_rescan_v4.json + refusal_taxonomy_v4.json +
tests/test_rescan_v4_invariants.py — the current live snapshot.
Shifts: exactly 2 (0038, 0046). Same pattern as v3.
Sonnet wrote: S.4 parser/axis-lane/tests/ADR.
Opus wrote: rescan_v4.py + v3 test refactor + bundling.
Files:
- generate/math_candidate_parser.py (+142 lines)
- evals/math_capability_axes/S4_novel_initial_form/v1/ (20-case lane)
- tests/test_adr_0136_S4_novel_initial_form.py (40 tests)
- docs/decisions/ADR-0136.S.4-novel-initial-form.md
- evals/gsm8k_math/train_sample/v1/{rescan_v4.py, *_v4.json}
- tests/test_rescan_v4_invariants.py (8 tests)
- tests/test_rescan_v3_invariants.py (refactored to artifact-only)
