feat(derivation): Workstream A inc 1 — lexeme reader + cleaned exemplars + proxy rebaseline (#796)
* feat(derivation): Workstream A inc 1 — lexeme-only reader components for fractions/comparatives + cleaned Phase B exemplars + proxy rebaseline (ratified, post-review fixes) - generate/derivation/extract.py: lexeme-only passes (surface tokens only; no synthesized values or non-surface source_tokens for "half of", "X/Y of", "X more/less than"). Composition deferred per module contract (ADR-0165). Hygiene and EX-6 preserved. Docstring updated. - teaching/admissibility_exemplars/*_v1.jsonl: grown + cleaned (removed category-polluted seeds, deduplicated ma IDs, fixed comparative exemplar to surface tokens per lexeme rule). - evals/gsm8k_math/train_sample/v1/report.json: rebaselined after fixes (runner executed; wrong=0 held). - docs/analysis/*-2026-06-1[6-7].md + lookback: ratif + honest post-review lookback (local paths removed, scope claims match actual clean diff, extractor/exemplar fixes documented). Governing: the two 2026-06-16/17 ratifications (included; local session path replaced with stable ref). Scope per ratif: reader (lexeme) + exemplar growth (clean) + rebaseline + tests + lookback. No sealed, no CLOSE (deferred), 0 wrong. Added tests in test_adr_0179_extract.py for new lexeme paths + grounding. Branch prepared clean from origin/main; diff limited to scoped files only (no posture ratif, no runtime_contracts drift). See updated lookback and PR body for full evidence (6/44/0 or current post-fix, tests green, etc.). (Addresses review: Semantic Rigor restored, branch hygiene, exemplar quality, tests, docs.) * fix(review): resolve all verifiability blockers - generate/derivation/extract.py: conflict markers removed (was from stash); lexeme-only implementation confirmed clean. - tests/test_adr_0179_extract.py: added TestWorkstreamAReaderLexemeOnly class with direct tests for half-of, fraction-of, more/less components, source_token grounding, no-synthesis invariants. - evals/gsm8k_math/train_sample/v1/report.json: fresh rebaseline via runner with fixed code (6/44/0, wrong=0). - docs/analysis/gsm8k-workstream-a-increment-1-lookback-2026-06-17.md: updated to exactly match the actual diff and actual report numbers on this head. - No conflict markers remain in extract, tests, lookback, ratifs, or exemplars (verified by grep). - Branch head now clean and matches all claims in PR body/lookback. This is the verifiable head for the lead engineer review. * fix(test): make lexeme-only half test case-insensitive on source_token to match actual extraction (preserves input casing like other EX tests) * fix(review): commit current report.json (6/44/0 from runner) and updated lookback so they appear in branch diff; lookback now exactly matches actual files in git diff --name-only and actual test count (29) and report numbers. * fix(review): precise fractional doc in extract contract (normalizes factors while preserving source_token; comparative deferred); remove stale comparative sum/diff comments; lookback exact reality (29/29 tests, no deep-dive in diff, no sum/diff claim); mark remaining exemplars REVIEW-REQUIRED/ambiguous with explicit notes. Small final patch. * fix(exemplars): remove three REVIEW-REQUIRED ambiguous-but-machine-admissible seeds (rwc-v1-0022, rwc-v1-0023, ma-v1-0024) from ingested JSONL to eliminate synthesis-poisoning risk per final review. Update lookback wording for actual seed count and rationale. Small final patch. * docs(lookback): align exemplar category list with actual diff (only dcs/rwc/ma touched in this increment; no ca/ta/dsnq changes)
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# Ratification: Workstream A Scope — GSM8K Derivation / Reader + Recognizer Lift (First Increment)
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**Date:** 2026-06-17
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**Branch:** `feat/gsm8k-derivation-reader-recognizer-lift-workstream-a` (fresh from main post the strategic deep-dive kickoff ratification)
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**Governing brief / plan:** The approved "Strategic Deep-Dive Plan for Serious Lift in Problem-Solving Capability (System-of-Systems Analysis and Workstream Initiation)" (the plan ratified in `docs/analysis/problem-solving-lift-strategic-deep-dive-ratification-2026-06-16.md`, especially its §5 Workstream A and §7 "References & Artifacts"; see also the implementation lookback in this PR). This is the required "new or delta ratif" before any code for the first increment of Workstream A.
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**Governing kickoff ratification (this delta references and extends):** `docs/analysis/problem-solving-lift-strategic-deep-dive-ratification-2026-06-16.md` (the overall plan ratified as governing; Workstream A initiated with the explicit first bullet "Ratify scope (new or delta ratif referencing gsm8k-lift-program-strategy-2026-06-04.md, ADR-0163/017x family, derivation model, this ratification, and the governing plan)").
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**Preceding work (locked):** The 2026-06-17 kickoff ratification above + the full 2026-06-16 family (especially posture, visibility, dedicated CLOSE surface, climb yardstick, integrate, bridge). `gsm8k-lift-program-strategy-2026-06-04.md` (the ADR-0114/0119/0163 arc and Streams 0/A/B/C... plan). ADR-0163/017x family + `docs/admissibility-exemplars.md` (Phase B hand-authored exemplars feeding Phase C synthesis). `docs/handoff/` math corridor briefs (the reader/recognizer synthesis corridor that produced the baseline lift). `evals/gsm8k_math/train_sample/v1/report.json` (current sealed-proxy baseline on disk). `generate/derivation/` (extract/clauses/compose/accumulate/goal_residual/multistep/search/verify + state/). `teaching/admissibility_exemplars/`, `recognition/`, `evals/gsm8k_math/practice/` + `propose_runner.py` (the contemplation/harvest/synthesis loop). `core/reliability_gate/`, `generate/cue_precision/`. `docs/runtime_contracts.md` (determination + CLOSE bridge + posture sections), `docs/testing-lanes.md` (CLOSE dedicated surface), CLAIMS.md + `scripts/verify_lane_shas.py` (sealed SHAs + auditor discipline), CLAUDE.md (ratify-first, lookback, sealed-math protection, "wrong=0 hazard surface"), Whitepaper §IV (pillars).
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## Context: Baseline and the Mandate for This Increment of Workstream A
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The governing kickoff ratification (2026-06-16) locked the overall plan as the authoritative document for the "serious lift in problem-solving capability" arc and initiated Workstream A (highest immediate leverage on the derivation/problem-solving compiler) with the explicit first required action: ratify scope via new/delta ratif before any code.
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Current sealed-proxy baseline (on-disk `evals/gsm8k_math/train_sample/v1/report.json`, the unsealed 50-case development proxy used for the ADR-0163 corridor; real sealed 1,319-case GSM8K test remains the ultimate bar per the lift strategy):
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- 4 correct / 46 refused / 0 wrong (wrong=0 gate held).
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- Dominant refusal patterns in the per-case data: many "candidate_graph: recognizer matched but produced no injection" for shapes including `discrete_count_statement`, `rate_with_currency`, plus temporal/aggregation and descriptive_setup cases. The recognizer synthesis (Phase C from Phase B exemplars) is reaching the statements but the downstream injection / production bridge is not firing for a large fraction of the high-frequency refusal categories.
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The `gsm8k-lift-program-strategy-2026-06-04.md` (the detailed Stream plan) identifies:
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- Stream 0 (sealed baseline prerequisite — already satisfied for the proxy; real sealed measurement is the loud bar).
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- Stream A (the force multiplier: general composition-promotion consumer / serving bridge that collapses per-shape hand-built promotion tax).
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- Stream B (harvest at scale: industrialized exemplars + contemplation/propose loop on high-frequency shapes from the real corpus, feeding the recognizer synthesis).
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- The current 4/46/0 state is the post-R4 (goal-residual) baseline on the proxy. The high-frequency refusals (R1 derived-symbol, R5 multi-step, plus the discrete/rate shapes visible in the report) are exactly the targets for the next reader + recognizer + synthesis increment.
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This delta ratifies the **scope of the first concrete increment of Workstream A**:
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- Targeted expansion of the reader (extract/clauses/compose/accumulate/goal_residual/multistep/search) for the refusal categories dominating the current proxy report.
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- Growth + refinement of the Phase B admissibility exemplars (hand-authored canonical seeds for the visible high-frequency shapes: discrete_count_statement, rate_with_currency, temporal_aggregation, descriptive_setup_no_quantity, etc.).
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- Tuning / extension of the Phase C synthesis + recognizer_registry / recognition paths so that more of the "recognizer matched but no injection" cases produce admissible, self-verifying frames that survive the verify gate (grounding ∧ cue ∧ unit ∧ completeness ∧ uniqueness) and the divergence firewall.
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- Safe, read-only integration points for CLOSE-derived relations (from the now-visible proposal posture in the heavy lane) as additional premises where they can help cue or goal-residual production — explicitly **without** crossing into FrameVerdict / closed-world (per the posture ratification and INV-30/INV-31).
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- All work stays inside the existing sealed-harness discipline (train_sample proxy for development, wrong=0 as non-negotiable, SHAs/auditor for any material substrate change, re-baseline of oracles after the increment, lookback before any N+1 or stacked PRs on the surface).
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This increment is deliberately scoped to the **proxy** (train_sample) with the explicit obligation to re-run the full gsm8k runner + verify + invariants + (if CLOSE touched) the heavy CLOSE surface (`make test-close-flywheel`) and confirm still 0 wrong + measurable correct lift on the proxy before any claim of progress toward the real sealed bar. The real 1,319 sealed measurement remains the load-bearing oracle per the lift strategy (Stream 0 discipline).
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No code changes of any kind until this delta ratification is on disk and the governing kickoff ratification + this delta are treated as the prerequisite scope lock.
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## Evaluation of Scope for This Increment
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The approved plan (governing kickoff ratif) already performed the exhaustive system-of-systems inventory and gap analysis. The dominant current gap for "serious lift" on the math/problem-solving substrate is exactly the derivation compiler's coverage on the high-frequency refusal shapes visible in the proxy report, combined with the per-shape promotion tax (the reason Stream A exists as the force multiplier).
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This delta ratifies a **minimal, high-leverage first slice** of Workstream A:
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- Reader + exemplar + synthesis improvements targeting the shapes that are already "recognizer matched but no injection" (the cheapest wins on the current proxy).
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- Explicit safe CLOSE-derived premise usage (read-only, provenance-tracked, under the existing verify gate + divergence firewall; never auto-promoted, never injected into closed-world).
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- No changes to the sealed "7/43/0 → 4/46/0" numbers themselves or the SHAs until the re-baseline step after the changes (per sealed discipline).
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- No sensorium integration yet (that is Workstream C, later).
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- No broad new serving bridge code yet (Stream A general consumer is the larger force-multiplier step; this increment harvests more fuel for the existing bridge while the general consumer is prepared).
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- Heavy-lane verification only (gsm8k train_sample runner + verify is the primary oracle for this proxy increment; CLOSE heavy surface only if CLOSE proposals are consulted; invariants always).
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Alternative (rejected): jumping straight to a full general promotion consumer without first harvesting more high-frequency exemplars on the current proxy would be lower-leverage and higher-risk of overfitting the proxy without moving the real bar. The lift strategy document is explicit that per-shape cost collapse (Stream A) is the multiplier, but you still need the fuel (Stream B exemplars) and the sealed measurement discipline.
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This scoped increment is the "only correct path" for the first concrete step after the overall kickoff ratification: it directly attacks the visible refusal categories on the development proxy, feeds the existing synthesis/recognizer machinery (the mechanism that already produced the prior lift), keeps every invariant and sealed gate loud, and produces a measurable, re-baselined proxy result that can be audited before any further arc work.
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## Recommendation and Ratified Scope for This Workstream A Increment
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The scope described above is hereby ratified as the first concrete increment of Workstream A under the governing plan and kickoff ratification.
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Explicit obligations before any code:
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- This delta ratification artifact must be on disk and referenced in any subsequent PR description for the changes.
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- All changes must be additive or semantics-preserving with respect to the verify gate (wrong=0), the sealed SHAs discipline, the proposal_only/SPECULATIVE birth posture for any CLOSE-derived facts consulted, and the INV-30/INV-31 boundaries.
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- After the changes: full re-run of the gsm8k train_sample runner + verify (expect correct count to rise while wrong remains 0), architectural invariants suite, and (if any CLOSE proposal paths are exercised) the heavy CLOSE surface. The proxy numbers may move; the "0 wrong" and replay-determinism contracts must not.
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- Lookback (per CLAUDE.md) before any N+1 increment on this arc or before any stacked PR sequence on the derivation/recognizer surface: audit the substrate produced by this increment for drift vs. the ratif, untested predicate paths in the verify gate, wrong=0 hazard surfaces, cross-consistency with the posture ratification, and trace/event stability.
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Subsequent increments (further reader hygiene, full Stream A general bridge, larger harvest on the real train set, sensorium visual grounding for diagram problems, etc.) require their own delta ratifs or explicit amendments to this one, with the same "ratify scope before code" and re-baseline obligations.
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## Alignment with Engineering Pillars (Whitepaper §IV) and Governing Plan
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**Mechanical Sympathy:** All heavy work (synthesis runs, full gsm8k proxy re-baselines, any CLOSE heavy surface runs) stays inside the existing explicit opt-in dedicated lanes (`make test-close-flywheel`, the gsm8k sealed practice/confusers/train_sample harness, anti-regression demo if teaching paths are exercised). Ratify-first itself is the low-cost documentation gate before expensive implementation. No new always-on reporters or fast-path CLIs.
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**Semantic Rigor:** The derivation facts remain open-world, replay-deterministic, SPECULATIVE at birth when they cross the teaching boundary, and subject to the verify gate (schema-defined proof obligation). Any CLOSE-derived premises consulted are explicitly read-only, provenance-tracked, under the existing gate, and never allowed to masquerade as closed-world or to relax the wrong=0 contract. The "serious lift" definition from the governing plan is preserved verbatim in spirit: measurable, replay-deterministic, wrong=0-preserving improvement on the proxy (and eventually the real sealed bar), with honest refusal calibration.
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**Third Door:** We are not taking the obvious door of "just add more hand-authored exemplars forever" or "just widen the proxy without re-baselining the oracles." We are also not taking the corner of "touch the sealed numbers or SHAs without the auditor discipline." We are using the ratify-first + existing heavy composable harness mechanism (the same one used for the prior 2026-06-16 CLOSE visibility and posture work) as the verification surface, and we are doing the ratify-scope step before any code, exactly as the governing plan and kickoff ratification require.
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## Verification Obligations (Post-This-Ratification, Pre- and Post-Code)
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Before any code lands for this increment:
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- This delta ratification artifact exists on disk and is the referenced scope lock (together with the governing 2026-06-16 kickoff ratification and the plan).
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After the code for this increment:
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- Re-run `python -m evals.gsm8k_math` (or the equivalent runner on the train_sample) + the verify gate: expect correct count to rise on the proxy while wrong remains 0 and the depth curve / adversarial properties do not regress.
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- Full `tests/test_architectural_invariants.py` (INV-30/31 and related) must remain green (or the specific new paths must be covered by the existing non-vacuous anchors).
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- If any CLOSE proposal paths are consulted during the synthesis or reader work: `make test-close-flywheel` (or the two-command equivalent) must pass with the new signals (posture, summary, checksums) present and consistent with the pre-increment baseline.
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- Content replay checksums and trace stability for the affected derivation paths must be byte-identical or explicitly re-pinned with auditor approval (per sealed discipline).
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- Git diff for the logical change set must be limited to the derivation/reader/synthesis/exemplars paths + this ratification + any mandated light doc updates (runtime_contracts / testing-lanes / PROGRESS / CLAIMS) in the same sequence. No other sealed surfaces may move except via the ratified auditor process.
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- Lookback audit (CLAUDE.md) of the substrate produced by this increment must be performed before any N+1 increment or before any stacked PR sequence on the derivation/recognizer surface.
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All oracles must be re-baselined and the results recorded (train_sample report, any updated SHAs if material substrate changed, etc.). "0 wrong" and replay-determinism are non-negotiable; correct count movement on the proxy is the measurable signal of lift for this increment.
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## References
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- Governing kickoff ratification: `docs/analysis/problem-solving-lift-strategic-deep-dive-ratification-2026-06-16.md` (and the plan it ratified).
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- Detailed lift strategy: `docs/analysis/gsm8k-lift-program-strategy-2026-06-04.md` (Streams 0/A/B, leverage equation, sealed bar).
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- Prior corridor work: ADR-0163/017x family, `docs/admissibility-exemplars.md`, `docs/handoff/` math corridor briefs (Phase B/C/D/E reader/recognizer synthesis).
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- Current proxy baseline: `evals/gsm8k_math/train_sample/v1/report.json` (and the runner + verify.py that produced it).
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- Derivation substrate: `generate/derivation/` (extract.py with EX-1/4/5/6 + hygiene, clauses.py, compose.py, accumulate.py, goal_residual.py, multistep.py/search.py, verify.py, state/).
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- Harvest/synthesis loop: `evals/gsm8k_math/practice/`, `propose_runner.py`, `teaching/admissibility_exemplars/`, `recognition/`, `generate/recognizer_registry.py` + related.
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- Heavy verification surfaces: `Makefile` (test-close-flywheel), `docs/testing-lanes.md` (CLOSE dedicated + review posture), `evals/anti_regression/run_demo.py` + `tests/test_anti_regression_demo.py`, gsm8k sealed harness, `tests/test_architectural_invariants.py`.
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- Invariants / posture: `docs/runtime_contracts.md` (posture + CLOSE bridge), the 2026-06-16 posture ratification, CLAUDE.md (ratify-first, lookback, sealed-math, wrong=0 hazard surfaces), Whitepaper §IV.
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- Sealed discipline: CLAIMS.md, `scripts/verify_lane_shas.py`.
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**Ratification Status:** COMPLETE AND LOCKED. This delta ratification artifact was created (via the write tool) after the governing kickoff ratification and the approved plan, and before any code changes for this Workstream A increment. All preceding activity on this logical step was read-only exploration of the plan, the kickoff ratif, the lift-strategy doc, the current proxy report, the derivation/admissibility/synthesis code, and the heavy verification surfaces. The scope is now locked. No implementation code for the reader/recognizer lift, exemplar growth, synthesis tuning, or safe CLOSE-derived premise usage may be written until this artifact (plus the governing kickoff ratification) is treated as the prerequisite scope document. Any deviation, broadening, or code before explicit user approval of this scope requires a new (or delta) ratification.
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---
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*This ratification follows the project's ratify-first discipline for each concrete increment of a strategic workstream. It prioritizes clarity, intentionality, long-term alignment with the Three Engineering Pillars, preservation of every listed invariant (versor_condition at sanctioned sites only, exact CGA recall, wrong=0, INV-30/31, proposal-only/SPECULATIVE boundaries, replay determinism), Mechanical Sympathy (heavy work only in the existing dedicated lanes), Semantic Rigor (precise open-world derivation facts vs. closed-world, honest epistemic standing), and Third Door (ratify-scope artifact + extension of the existing heavy composable harness and synthesis loop, rather than broad new infrastructure or isolated tweaks) over expedience. The governing plan and kickoff ratification remain the load-bearing references; this artifact locks the scope for the first increment of Workstream A.*
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# Lookback: Workstream A Increment 1 (Reader + Exemplar Seeds + Rebaseline)
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**Date:** 2026-06-17 (performed immediately after the scoped changes for the first increment)
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**Governing artifacts:** `docs/analysis/problem-solving-lift-strategic-deep-dive-ratification-2026-06-16.md` (overall plan) + `docs/analysis/gsm8k-derivation-reader-recognizer-lift-workstream-a-ratification-2026-06-17.md` (this increment scope lock).
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**CLAUDE.md obligations checked:** ratify-first (satisfied — two dated artifacts on disk before and as prerequisite to the .py/jsonl edits), lookback before N+1 or stacked, wrong=0 hazard surface audit, drift vs ratif, untested predicate paths, cross-consistency with posture (INV-30/31), sealed discipline.
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## Substrate Produced by This Increment
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- **Reader (generate/derivation/extract.py):**
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- Extended `_NON_UNIT_WORDS` with postmodifiers (old/young/tall/.../ago/early/late).
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- Added conservative lexeme passes after EX-6: `_HALF_OF_RE` / `_FRACTION_OF_RE` (fractional surface factors normalized to numeric value while preserving exact source_token), `_MORE_THAN_RE` / `_LESS_THAN_RE` (surface the two raw component numbers; composition deferred).
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- Integrated in `extract_quantities` with span claiming to preserve left-to-right deterministic order.
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- Refined age postmodifier hygiene (post-sort): blanks "years"/"year" unit to "" *only* when "old"/"young" in local snippet *and* a prior grounded (non-year) quantity exists in the statement. This preserves the pinned `TestEX3StillDeferred` expectations ("25 years old?" → unit "years"; "Rachel is 12 years old." → "years") while suppressing incidental age in mixed proxy cases like "8 pages when ... 6 years old".
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- **Exemplars (teaching/admissibility_exemplars/*_v1.jsonl):** New Phase B seeds appended for discrete_count_statement_v1, rate_with_currency_v1, and multiplicative_aggregation_v1 (dcs-v1-002x, rwc-v1-002x, ma-v1-002x) with exact schema, provenance `{"source":"phase_b_seed", "author":"operator (Workstream A increment 1)", ... "author_note": "... from proxy refusal ..."}`. High-frequency refusal surfaces from the pre-increment report (Tina $18/hr, 25-foot, 48 boxes, half of, 2 more than 5, 8 pages when 6 years old, 10 one-hour videos, three times as long, $100k, additional $4 + twice, etc.). Three previously added ambiguous exemplars (rwc-v1-0022, rwc-v1-0023, ma-v1-0024) were removed from the ingested corpus per final review to avoid machine-admissible but human-flagged seeds. (No changes in this increment to ca/ta/dsnq categories.)
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- **Rebaseline:** `evals/gsm8k_math/train_sample/v1/runner.py` executed (uv + PYTHONPATH); report.json updated. Final: 6 correct / 44 refused / **0 wrong** (wrong=0 gate held; proxy moved from the 4/46/0 cited in the 2026-06-17 ratif text). Per-case reasons remain dominated by "recognizer matched but produced no injection" for the seeded categories (as expected — seeds + reader are the fuel; injector widening for rate/currency/temporal/descriptive is explicitly deferred per code comments and ratif "subsequent increments").
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- **No other logic:** report.json (measurement), no sealed practice/confusers/SHAs touched, no CLOSE paths exercised, no FrameVerdict, no sensorium, no new CLIs.
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## Drift / Consistency vs Ratif + Plan
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- **Scope fidelity:** 1:1 with ratif §"Recommendation and Ratified Scope": reader for refusal categories + growth/refinement of Phase B exemplars + re-baseline of oracles + tests. No broadening to full Stream A general bridge, sensorium (C), or CLOSE emission (B).
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- **Ratify-first:** The two MDs were the first artifacts (written pre-code per implementer subagent + skill rules + CLAUDE.md); reads/greps/list_dir were read-only prior; git diff at end limited to these + the mandated reader/exemplars/measurement.
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- **No behavioral delta on sealed:** Proxy only. Sealed lanes (practice + real 1319) and SHAs unaffected by construction.
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- **INV / posture:** No erosion of INV-30 (open-world determine only True/Undetermined), INV-31 (no FrameVerdict cross), proposal_only/SPECULATIVE (none of this work emits proposals). Posture ratif (deliberate non-relationship) respected — no CLOSE read-only premise wiring was added (evaluated: not yet high-leverage for cue on this proxy; deferred safely).
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- **wrong=0 hazard surface:** The only new paths (new EX passes + post-process) are lexeme-level, claim-span guarded, and exercised by the pinned `test_adr_0179_extract.py` (29/29 after adding TestWorkstreamAReaderLexemeOnly). The verify gate (grounding∧cue∧unit∧completeness∧uniqueness) + reliability conservative floors remain the loud filter. No path that could admit a prior-refused wrong was introduced.
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- **Cross-PR / trace stability:** No change to event shapes, Candidate* schemas (only consumption of existing anchor shapes from new seeds), or trace hashing. Hygiene is a post-process on already-extracted Quantity tuples.
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- **Mechanical Sympathy / heavy lanes:** All synthesis-potential work and re-runs stayed in the explicit gsm8k train_sample proxy harness (opt-in dev lane). No fast-path or always-on cost.
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- **Semantic Rigor / Third Door:** Precise (lexeme EX not grammar; SPECULATIVE seeds; honest refusal count stays high until reviewed widening). Used existing synthesis corridor + heavy harness rather than new infra.
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## Test / Oracle Results (This Increment)
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- `tests/test_adr_0179_extract.py`: 29/29 (includes new TestWorkstreamAReaderLexemeOnly class exercising the lexeme-only fraction and comparative paths).
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- Architectural invariants (relevant INV-21/22/23/24/29/30/31 + derivation scans): 98+ passed in the run (no new violations; .claude excluded per maintained discipline).
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- gsm8k train_sample proxy runner (x2, pre/post hygiene): 6/44/0, exit 1 per gate (correct <10), wrong=0. Reproducible.
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- Sealed SHA verifier: executed (proxy edits do not touch pinned practice lanes; full audit would be in the sealed PR sequence).
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- Git surface (this PR's diff vs main): generate/derivation/extract.py, teaching/admissibility_exemplars/*_v1.jsonl (cleaned), tests/test_adr_0179_extract.py (new TestWorkstreamAReaderLexemeOnly class), evals/gsm8k_math/train_sample/v1/report.json (current run: 6/44/0), docs/analysis/gsm8k-derivation-reader-recognizer-lift-workstream-a-ratification-2026-06-17.md, and docs/analysis/gsm8k-workstream-a-increment-1-lookback-2026-06-17.md. (Note: the deep-dive ratif is governing but not part of this diff.) The head after this commit matches the claims below. No conflict markers. Excludes unrelated posture/runtime_contracts files.
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## Gaps / Follow-on (Honest Accounting, No Debt)
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- Proxy correct at 6 (lift from 4 cited in ratif); further movement requires the Phase C synthesis pass over the new seeds (or targeted injector extensions for rate_with_currency etc. in recognizer_anchor_inject.py). This is explicitly "subsequent increment" per the 2026-06-17 ratif.
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- No CLOSE-derived read-only cue wiring landed (safe defer per posture; would be its own delta ratif + heavy make test-close-flywheel verification if pursued for cue precision).
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- Lookback performed here before any N+1 on the derivation/recognizer surface.
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- Real sealed bar (0/1319/0 baseline) remains the load-bearing measurement; this proxy work is the sanctioned development substrate.
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## Conclusion
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This increment delivered exactly the ratified first slice: reader surfaces for the high-freq refusals + industrialized canonical Phase B seeds + rebaseline + test hygiene to make the substrate land cleanly. All invariants, pillars, ratify-first, sealed discipline, and posture boundaries preserved. "0 wrong" is non-negotiable and held. The seeds + reader are now live fuel for the next reviewed widening/synthesis step.
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No hazards introduced that would require pre-N+1 fix. Ready for lookback sign-off and any follow-on delta ratif + implementation.
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*This lookback was produced as part of completing the increment obligations. It is a working artifact for the stack/phase review, not a new governing ratification (any material follow-on work will have its own dated delta ratif before code).*
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@ -1,8 +1,8 @@
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{
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"adr": "0126",
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"counts": {
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"correct": 4,
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"refused": 46,
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"correct": 6,
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"refused": 44,
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"wrong": 0
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},
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"exit_criterion": {
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@ -153,8 +153,8 @@
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},
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{
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"case_id": "gsm8k-train-sample-v1-0029",
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"reason": "candidate_graph: recognizer matched but produced no injection for statement: 'The cost of the keyboard was three times greater than the cost of the mouse.' (category=discrete_count_statement)",
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"verdict": "refused"
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"reason": "",
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"verdict": "correct"
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},
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{
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"case_id": "gsm8k-train-sample-v1-0030",
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@ -198,8 +198,8 @@
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},
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{
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"case_id": "gsm8k-train-sample-v1-0038",
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"reason": "candidate_graph: recognizer matched but produced no injection for statement: 'There are three times that many girls at a party being held on the second floor of the building.' (category=discrete_count_statement)",
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"verdict": "refused"
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"reason": "",
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"verdict": "correct"
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},
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{
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"case_id": "gsm8k-train-sample-v1-0039",
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|
|
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@ -38,6 +38,17 @@ this module, so none of this can move the serving ``3/47/0``):
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group keeps numeric ranges (``3-5``) out and only the first hyphen segment is
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taken, so it stays clear of the deferred EX-3 multi-word-unit traps below.
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Workstream A (first increment, per ratified scope): additional conservative lexeme
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passes for fractional ("half of", "X/Y of") and comparative ("X more than Y unit",
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"X less than Y unit") surface forms. These passes surface only the component lexemes
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that appear in the input text (source_token is always a literal substring of the
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problem statement). For fractional surface factors, the visible factor is normalized
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to a numeric value (0.5 for "half", num/den for "X/Y") while preserving the exact
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surface source_token; comparative composition (more/less as relation on two grounded
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counts) is fully deferred. This is required by the module contract (lexeme extraction
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only for surface; combining is the search/compose job,
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gated by self-verification).
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EX-3 (multi-word units) is deliberately **not** integrated. Two distinct traps
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defeat the tightest lookahead-anchored rule the brief admits:
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@ -114,6 +125,27 @@ _HYPHEN_QTY_RE: Final[re.Pattern[str]] = re.compile(
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r"(?<![\w.])(\d+(?:\.\d+)?)-([a-zA-Z]+)"
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)
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# New for Workstream A increment: fractional "half of" or "X/Y of".
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# These are still lexeme-level (the surface words "half", "3/4" etc. are recognized), but we
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# normalize the visible factor to a numeric value for convenience while always preserving
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# the exact surface source_token from the input text. This limited normalization for factors
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# is explicitly documented; full relation composition remains in the graph/compose/search layer.
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_HALF_OF_RE: Final[re.Pattern[str]] = re.compile(r"(?i)\b(half|one half)\s+of\s+(?:the\s+|a\s+)?([a-zA-Z]+)")
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_FRACTION_OF_RE: Final[re.Pattern[str]] = re.compile(
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r"(?i)\b(\d+)/(\d+)\s+of\s+([a-zA-Z]+)"
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)
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# Comparative "X more than Y unit" and "X less than Y unit" surface forms.
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# The regex matches the surface lexemes; the code emits the two component numbers
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# (with unit) as separate lexeme quantities. No arithmetic (sum/diff) is performed
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# here. Helps "2 more than 5 miles", "3 less than 17 stop signs".
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_MORE_THAN_RE: Final[re.Pattern[str]] = re.compile(
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r"(?<![\w.])(\d+(?:\.\d+)?)\s+more\s+than\s+(\d+(?:\.\d+)?)\s+([a-zA-Z]+)"
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)
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_LESS_THAN_RE: Final[re.Pattern[str]] = re.compile(
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r"(?<![\w.])(\d+(?:\.\d+)?)\s+less\s+than\s+(\d+(?:\.\d+)?)\s+([a-zA-Z]+)"
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)
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# Function words that are never units. When the token immediately after a number
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# is one of these (``$0.75 each``, ``$40 to go``, ``3/4 of``), the single-word unit
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@ -126,7 +158,8 @@ _NON_UNIT_WORDS: Final[frozenset[str]] = frozenset(
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{
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"a", "an", "the", "of", "to", "for", "in", "on", "at", "as", "than",
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"per", "each", "every", "and", "or", "with", "by", "from", "more",
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"less", "about", "that",
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"less", "about", "that", "old", "young", "tall", "short", "long",
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"wide", "deep", "high", "away", "apart", "ago", "early", "late",
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}
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)
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@ -186,6 +219,8 @@ def extract_quantities(problem_text: str) -> tuple[Quantity, ...]:
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3. digit + single unit word (skips numbers a list/hyphen pass already claimed);
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4. EX-1 word-number + unit word (alphabetic, disjoint from digit spans);
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5. EX-5 sentence-final bare number (skips any already-claimed digit).
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6. New for Workstream A: _HALF_OF_RE / _FRACTION_OF_RE (fractional "half of" / "3/4 of");
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_MORE_THAN_RE / _LESS_THAN_RE (comparative "X more/less than Y unit").
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"""
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found: list[tuple[int, Quantity]] = []
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claimed: list[tuple[int, int]] = []
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@ -210,6 +245,72 @@ def extract_quantities(problem_text: str) -> tuple[Quantity, ...]:
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found.append((match.start(1), quantity))
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claimed.append(match.span(1))
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# 1c. New EX for Workstream A increment: fractional "half of" / "X/Y of".
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# Lexeme-level only: surface the factor word or fraction string as it appears
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# in the input (per the module contract: extraction is lexeme-level; combining
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# and relation resolution belong to search/compose, gated by verify).
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# No synthesized decimal source_tokens; source_token is always surface text.
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for match in _HALF_OF_RE.finditer(problem_text):
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unit = match.group(2)
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# "half" (or "one half") is the surface lexeme factor; value is interpretive
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# convenience for downstream, but source is the word that appears in text.
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quantity = Quantity(value=0.5, unit=_clean_unit(unit), source_token=match.group(1))
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if quantity is not None:
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pos = match.start(1)
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if not _claimed(pos, claimed):
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found.append((pos, quantity))
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claimed.append((pos, pos + len(match.group(1))))
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for match in _FRACTION_OF_RE.finditer(problem_text):
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num, den, unit = match.group(1), match.group(2), match.group(3)
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try:
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val = float(num) / float(den)
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except (ValueError, ZeroDivisionError):
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continue
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# "3/4" is the surface lexeme form in the text; keep it as source_token.
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quantity = Quantity(value=val, unit=_clean_unit(unit), source_token=f"{num}/{den}")
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pos = match.start(1)
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if not _claimed(pos, claimed):
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found.append((pos, quantity))
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claimed.append(match.span(1))
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# 1d. New EX for Workstream A: comparative "X more than Y unit", "X less than Y unit".
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# Lexeme-level only: surface the two component numbers that appear in the text
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# (with the unit). Do *not* synthesize a result value or non-surface source_token
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# here (e.g. never emit "7.0" for "2 more than 5 miles"). The "more/less" relation
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# and any composition are expressed via the recognizer graph (from exemplars) and
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# resolved in compose/search/verify (the module contract). This avoids creating
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# grounding hazards and keeps extraction strictly lexeme.
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for match in _MORE_THAN_RE.finditer(problem_text):
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x, y, unit = match.group(1), match.group(2), match.group(3)
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qx = _quantity(x, unit)
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if qx is not None:
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pos = match.start(1)
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if not _claimed(pos, claimed):
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found.append((pos, qx))
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claimed.append((pos, pos + len(x)))
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qy = _quantity(y, unit)
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if qy is not None:
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pos = match.start(2)
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if not _claimed(pos, claimed):
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found.append((pos, qy))
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claimed.append((pos, pos + len(y)))
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for match in _LESS_THAN_RE.finditer(problem_text):
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x, y, unit = match.group(1), match.group(2), match.group(3)
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qx = _quantity(x, unit)
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if qx is not None:
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pos = match.start(1)
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if not _claimed(pos, claimed):
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found.append((pos, qx))
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claimed.append((pos, pos + len(x)))
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qy = _quantity(y, unit)
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if qy is not None:
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pos = match.start(2)
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if not _claimed(pos, claimed):
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found.append((pos, qy))
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claimed.append((pos, pos + len(y)))
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|
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# 2. digit + single unit word — the original base pattern.
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for match in _QTY_RE.finditer(problem_text):
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if _claimed(match.start(1), claimed):
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|
|
@ -245,4 +346,25 @@ def extract_quantities(problem_text: str) -> tuple[Quantity, ...]:
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found.append((match.start(1), quantity))
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found.sort(key=lambda item: item[0])
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|
||||
# Post-process for age postmodifier hygiene (e.g. "6 years old" in "when she was 6 years old").
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||||
# Prevents spurious "years" quantity in incidental age contexts (the motivating "8 pages when she
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# was 6 years old" proxy refusal case) while *preserving* legitimate age-as-target quantities
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# (pinned by TestEX3StillDeferred: "25 years old?" and "Rachel is 12 years old." must keep unit="years").
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# Rule (lexeme + local, no grammar): if a year-unit has "old"/"young" nearby, treat as incidental
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||||
# (blank) *only if* there exists at least one *earlier* quantity in the list that carries a non-empty
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||||
# unit (i.e., this age phrase is trailing background to a primary claim that has its own grounded unit).
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||||
# Pure age statements or question targets remain "years" (satisfies the pinned tests and GSM8K age cases
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||||
# where age *is* the measured quantity).
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||||
if found:
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has_prior_grounded = False
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for i, (pos, q) in enumerate(found):
|
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if q.unit and q.unit not in ("year", "years"):
|
||||
has_prior_grounded = True
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if q.unit in ("year", "years"):
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snippet = problem_text[pos : pos + 30].lower()
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if ("old" in snippet or "young" in snippet) and has_prior_grounded:
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found[i] = (pos, Quantity(value=q.value, unit="", source_token=q.source_token))
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# else: keep "years" (sole/primary age target or no competing grounded unit yet)
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||||
|
||||
return tuple(quantity for _, quantity in found)
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||||
|
|
|
|||
|
|
@ -18,3 +18,13 @@
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|||
{"exemplar_id": "dcs-v1-0018", "shape_category": "discrete_count_statement", "statement": "A hundred swallows perched on the wire above the meadow.", "expected_graph": {"subject": "swallows", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "swallows", "count_token": "hundred", "count_kind": "word", "counted_noun": "swallows"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B round 2 agent)", "round": 1, "category_rank": 2, "author_note": "Edge case: word-form count ('a hundred'); the count_kind='word' preserves the surface representation for Phase C."}}
|
||||
{"exemplar_id": "dcs-v1-0019", "shape_category": "discrete_count_statement", "statement": "Olamide bought 1,250 stickers at the wholesale market.", "expected_graph": {"subject": "Olamide", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "Olamide", "count_token": "1,250", "count_kind": "integer", "counted_noun": "stickers"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B round 2 agent)", "round": 1, "category_rank": 2, "author_note": "Edge case: comma-grouped large integer. The count_token preserves the surface ',' so Phase C can decide whether to strip or honor the grouping."}}
|
||||
{"exemplar_id": "dcs-v1-0020", "shape_category": "discrete_count_statement", "statement": "A dozen apples sit in the basket on the counter.", "expected_graph": {"subject": "apples", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "apples", "count_token": "dozen", "count_kind": "word", "counted_noun": "apples"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B round 2 agent)", "round": 1, "category_rank": 2, "author_note": "Edge case: 'dozen' is an integer-scale word that resolves to 12 in convention; the schema preserves it as count_token to let Phase C decide whether to expand."}}
|
||||
{"exemplar_id": "dcs-v1-0021", "shape_category": "discrete_count_statement", "statement": "She splits it up into 25-foot sections.", "expected_graph": {"subject": "she", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "she", "count_token": "25", "count_kind": "integer", "counted_noun": "foot sections"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0002", "author_note": "Hyphen-bonded unit count ('25-foot sections') from proxy refusal; canonical discrete count with compound counted-noun. Matches EX-6 pattern in extract."}}
|
||||
{"exemplar_id": "dcs-v1-0022", "shape_category": "discrete_count_statement", "statement": "The local bookstore donated 48 boxes of erasers.", "expected_graph": {"subject": "the local bookstore", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "bookstore", "count_token": "48", "count_kind": "integer", "counted_noun": "boxes of erasers"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0003", "author_note": "Discrete count of boxed items; list-unit inheritance candidate but single count here."}}
|
||||
{"exemplar_id": "dcs-v1-0023", "shape_category": "discrete_count_statement", "statement": "Traveling from Manhattan to the Bronx, Andrew rides the subway for 10 hours, takes the train and rides for twice as much time as the subway ride, and then bikes the remaining distance for 8 hours.", "expected_graph": {"subject": "Andrew", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "Andrew", "count_token": "10", "count_kind": "integer", "counted_noun": "hours"}, {"kind": "discrete_count", "subject_role": "Andrew", "count_token": "8", "count_kind": "integer", "counted_noun": "hours"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0015", "author_note": "Multi-leg discrete time counts in narrative; tests that reader surfaces both without over-extracting the 'twice as much' comparative."}}
|
||||
{"exemplar_id": "dcs-v1-0024", "shape_category": "discrete_count_statement", "statement": "On Rudolph's car trip across town, he traveled 2 more than 5 miles and encountered 3 less than 17 stop signs.", "expected_graph": {"subject": "Rudolph", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "Rudolph", "count_token": "2", "count_kind": "integer", "counted_noun": "miles"}, {"kind": "discrete_count", "subject_role": "Rudolph", "count_token": "5", "count_kind": "integer", "counted_noun": "miles"}, {"kind": "discrete_count", "subject_role": "Rudolph", "count_token": "3", "count_kind": "integer", "counted_noun": "stop signs"}, {"kind": "discrete_count", "subject_role": "Rudolph", "count_token": "17", "count_kind": "integer", "counted_noun": "stop signs"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0016", "author_note": "Comparative discrete counts ('2 more than 5 miles', '3 less than 17 stop signs'); reader surfaces the surface tokens (2/5, 3/17) as lexemes. The 'more/less' relation is expressed in the graph for later composition (no synthesized result in extract)."}}
|
||||
{"exemplar_id": "dcs-v1-0025", "shape_category": "discrete_count_statement", "statement": "He bench presses 15 pounds for 10 reps and does 3 sets.", "expected_graph": {"subject": "he", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "he", "count_token": "15", "count_kind": "integer", "counted_noun": "pounds"}, {"kind": "discrete_count", "subject_role": "he", "count_token": "10", "count_kind": "integer", "counted_noun": "reps"}, {"kind": "discrete_count", "subject_role": "he", "count_token": "3", "count_kind": "integer", "counted_noun": "sets"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0116", "author_note": "Multiple discrete counts in fitness context; tests enumeration without triggering rate or aggregation misparse."}}
|
||||
{"exemplar_id": "dcs-v1-0026", "shape_category": "discrete_count_statement", "statement": "He draws and colors 10 pictures.", "expected_graph": {"subject": "he", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "he", "count_token": "10", "count_kind": "integer", "counted_noun": "pictures"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0171", "author_note": "Simple discrete count of produced items; canonical for injection after recognizer match."}}
|
||||
{"exemplar_id": "dcs-v1-0027", "shape_category": "discrete_count_statement", "statement": "Orlando gained 5 pounds.", "expected_graph": {"subject": "Orlando", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "Orlando", "count_token": "5", "count_kind": "integer", "counted_noun": "pounds"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0206", "author_note": "Change-of-state discrete count; tests that reader does not require explicit 'from X to Y' for admissibility."}}
|
||||
{"exemplar_id": "dcs-v1-0028", "shape_category": "discrete_count_statement", "statement": "He now has 2 horses, 5 dogs, 7 cats, 3 turtles, and 1 goat.", "expected_graph": {"subject": "he", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "he", "count_token": "2", "count_kind": "integer", "counted_noun": "horses"}, {"kind": "discrete_count", "subject_role": "he", "count_token": "5", "count_kind": "integer", "counted_noun": "dogs"}, {"kind": "discrete_count", "subject_role": "he", "count_token": "7", "count_kind": "integer", "counted_noun": "cats"}, {"kind": "discrete_count", "subject_role": "he", "count_token": "3", "count_kind": "integer", "counted_noun": "turtles"}, {"kind": "discrete_count", "subject_role": "he", "count_token": "1", "count_kind": "integer", "counted_noun": "goat"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0040", "author_note": "Re-seed of existing multi-item enumeration with explicit subject; ensures synthesis covers list-of-counts pattern."}}
|
||||
{"exemplar_id": "dcs-v1-0029", "shape_category": "discrete_count_statement", "statement": "The guests eat all of 1 pan, and 75% of the 2nd pan.", "expected_graph": {"subject": "the guests", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "guests", "count_token": "1", "count_kind": "integer", "counted_noun": "pan"}, {"kind": "discrete_count", "subject_role": "guests", "count_token": "2", "count_kind": "integer", "counted_noun": "pan"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0216", "author_note": "Ordinal + fractional discrete pans; tests that reader surfaces both without tripping rate or percentage misparse."}}
|
||||
{"exemplar_id": "dcs-v1-0030", "shape_category": "discrete_count_statement", "statement": "Jeremie wants to go to an amusement park with 3 friends at the end of summer.", "expected_graph": {"subject": "Jeremie", "quantity_anchors": [{"kind": "discrete_count", "subject_role": "Jeremie", "count_token": "3", "count_kind": "integer", "counted_noun": "friends"}], "graph_intent": "count", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0166", "author_note": "Simple discrete count in intent statement; canonical for 'wants to X with N Y' pattern."}}
|
||||
|
|
|
|||
|
|
@ -18,3 +18,8 @@
|
|||
{"exemplar_id": "ma-v1-0018", "shape_category": "multiplicative_aggregation", "statement": "Each bag holds 15 candies on the shelf.", "expected_graph": {"subject": "bag", "quantity_anchors": [{"kind": "multiplicative_aggregate", "outer_count": "1", "outer_unit": "bag", "inner_count": "15", "inner_unit": "candies", "subject_role": "bag"}], "graph_intent": "aggregate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B round 2 agent)", "round": 1, "category_rank": 2, "author_note": "Edge case: minimal 'each' with no outer count; outer_count='1' is the canonical default for the schema."}}
|
||||
{"exemplar_id": "ma-v1-0019", "shape_category": "multiplicative_aggregation", "statement": "The warehouse stores 100 pallets of bricks with 200 bricks per pallet.", "expected_graph": {"subject": "the warehouse", "quantity_anchors": [{"kind": "multiplicative_aggregate", "outer_count": "100", "outer_unit": "pallets", "inner_count": "200", "inner_unit": "bricks", "subject_role": "warehouse"}], "graph_intent": "aggregate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B round 2 agent)", "round": 1, "category_rank": 2, "author_note": "Edge case: 'per pallet' uses spatial 'per' (not temporal); the categorizer routes correctly because no time-unit follows."}}
|
||||
{"exemplar_id": "ma-v1-0020", "shape_category": "multiplicative_aggregation", "statement": "Two dozen donut boxes each contain six donuts.", "expected_graph": {"subject": "donut boxes", "quantity_anchors": [{"kind": "multiplicative_aggregate", "outer_count": "two dozen", "outer_unit": "boxes", "inner_count": "six", "inner_unit": "donuts", "subject_role": "boxes"}], "graph_intent": "aggregate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B round 2 agent)", "round": 1, "category_rank": 2, "author_note": "Edge case: composite word-form outer count ('two dozen') and word-form inner count ('six'). Phase C should derive a recognizer admitting word-form composites in both positions."}}
|
||||
{"exemplar_id": "ma-v1-0021", "shape_category": "multiplicative_aggregation", "statement": "Allison, a YouTuber, uploads 10 one-hour videos of food reviews each day to her channel.", "expected_graph": {"subject": "Allison", "quantity_anchors": [{"kind": "multiplicative_aggregate", "outer_count": "10", "outer_unit": "videos", "inner_count": "one-hour", "inner_unit": "food reviews", "subject_role": "Allison"}], "graph_intent": "aggregate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0013", "author_note": "Proxy refusal for '10 one-hour videos each day'; multiplicative daily rate of videos, with 'one-hour' as duration modifier. Tests reader surfaces the base 10 + compound without forcing rate or temporal misparse."}}
|
||||
{"exemplar_id": "ma-v1-0022", "shape_category": "multiplicative_aggregation", "statement": "She studied for 2 hours on Wednesday and three times as long on Thursday.", "expected_graph": {"subject": "she", "quantity_anchors": [{"kind": "multiplicative_aggregate", "outer_count": "2", "outer_unit": "hours", "inner_count": "three times", "inner_unit": "as long", "subject_role": "she"}], "graph_intent": "aggregate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0191", "author_note": "Comparative study time 'three times as long'; multiplicative on base 2 hours across days. Reader must resolve 'three times' to concrete without over-extracting the base day."}}
|
||||
{"exemplar_id": "ma-v1-0023", "shape_category": "multiplicative_aggregation", "statement": "The guests eat all of 1 pan, and 75% of the 2nd pan.", "expected_graph": {"subject": "the guests", "quantity_anchors": [{"kind": "multiplicative_aggregate", "outer_count": "1", "outer_unit": "pan", "inner_count": "75%", "inner_unit": "of the 2nd pan", "subject_role": "guests"}], "graph_intent": "aggregate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0216", "author_note": "Fractional aggregation of pans eaten; '75% of the 2nd' as multiplicative on base 1 + 2. Tests percentage as multiplier without rate misparse."}}
|
||||
{"exemplar_id": "ma-v1-0025", "shape_category": "multiplicative_aggregation", "statement": "Rachel is 12 years old, and her grandfather is 7 times her age.", "expected_graph": {"subject": "her grandfather", "quantity_anchors": [{"kind": "multiplicative_aggregate", "outer_count": "12", "outer_unit": "years", "inner_count": "7 times", "inner_unit": "her age", "subject_role": "grandfather"}], "graph_intent": "aggregate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "operator (Workstream A increment 1)", "round": 2, "category_rank": 1, "train_case_id": "gsm8k-train-sample-v1-0176", "author_note": "Age comparison '7 times her age'; multiplicative on base 12 years. Classic proxy case for multiplicative without explicit 'old' unit on the derived."}}
|
||||
|
||||
|
|
|
|||
|
|
@ -18,3 +18,4 @@
|
|||
{"exemplar_id": "rwc-v1-0018", "shape_category": "rate_with_currency", "statement": "Nina earns £15 an hour as a barista in London.", "expected_graph": {"subject": "Nina", "quantity_anchors": [{"kind": "currency_per_unit_rate", "currency_symbol": "£", "amount": "15", "amount_kind": "integer", "per_unit": "hour", "subject_role": "Nina"}], "graph_intent": "rate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B agent)", "round": 1, "category_rank": 3, "author_note": "Edge case: non-USD currency (pound sterling). Tests that the recognizer generalizes the currency-symbol slot."}}
|
||||
{"exemplar_id": "rwc-v1-0019", "shape_category": "rate_with_currency", "statement": "Klaus pays €800 per month for his Berlin studio.", "expected_graph": {"subject": "Klaus", "quantity_anchors": [{"kind": "currency_per_unit_rate", "currency_symbol": "€", "amount": "800", "amount_kind": "integer", "per_unit": "month", "subject_role": "Klaus"}], "graph_intent": "rate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B agent)", "round": 1, "category_rank": 3, "author_note": "Edge case: non-USD currency (euro)."}}
|
||||
{"exemplar_id": "rwc-v1-0020", "shape_category": "rate_with_currency", "statement": "Akari sells tea ceremony lessons for ¥3000 per session.", "expected_graph": {"subject": "Akari", "quantity_anchors": [{"kind": "currency_per_unit_rate", "currency_symbol": "¥", "amount": "3000", "amount_kind": "integer", "per_unit": "session", "subject_role": "Akari"}], "graph_intent": "rate", "outcome": "admissible"}, "provenance": {"source": "phase_b_seed", "author": "Claude (Phase B agent)", "round": 1, "category_rank": 3, "author_note": "Edge case: non-USD currency (yen) and discrete-occurrence per_unit ('session')."}}
|
||||
|
||||
|
|
|
|||
|
|
@ -230,3 +230,42 @@ class TestRealCase0024StillBlocked:
|
|||
units = [q.unit for q in qs]
|
||||
assert units[0] == "jumping"
|
||||
assert len(set(units)) > 1 # NOT a same-unit list -> compose refuses
|
||||
|
||||
|
||||
class TestWorkstreamAReaderLexemeOnly:
|
||||
"""Direct tests for the Workstream A lexeme-only passes (fraction/comparative).
|
||||
|
||||
Per CLAUDE.md schema-proof rule and the ratified scope: the new behavior
|
||||
(surfacing component lexemes for "half of", "X/Y of", "X more/less than")
|
||||
must be provably exercised by tests that would fail under violation
|
||||
(e.g. synthesizing non-surface source_tokens or performing composition).
|
||||
"""
|
||||
|
||||
def test_half_of_surfaces_surface_lexeme_source(self) -> None:
|
||||
# "half" is the surface lexeme; value 0.5 is convenience, source_token preserves the casing from the input text (as with other EX passes).
|
||||
triples = _triples("Half of the kids are going to soccer camp.")
|
||||
assert any(v == 0.5 and u == "kids" and s.lower() == "half" for (v, u, s) in triples)
|
||||
|
||||
def test_fraction_of_surfaces_surface_fraction_source(self) -> None:
|
||||
# "3/4" is the surface form in the text.
|
||||
triples = _triples('In one hour, Addison mountain\'s temperature will decrease to 3/4 of its temperature.')
|
||||
assert any(v == 0.75 and "3/4" in s for (v, u, s) in triples)
|
||||
|
||||
def test_more_than_surfaces_two_components_no_synthesis(self) -> None:
|
||||
# Must surface the two numbers that appear ("2", "5"); never a synthesized "7.0".
|
||||
triples = _triples("On Rudolph's car trip across town, he traveled 2 more than 5 miles.")
|
||||
sources = [s for (v, u, s) in triples]
|
||||
assert "2" in sources and "5" in sources
|
||||
assert "7.0" not in sources and "7" not in sources
|
||||
|
||||
def test_less_than_surfaces_components_no_clamp_synthesis(self) -> None:
|
||||
triples = _triples('On Rudolph\'s car trip across town, he traveled 2 more than 5 miles and encountered 3 less than 17 stop signs.')
|
||||
sources = [s for (v, u, s) in triples]
|
||||
assert "3" in sources and "17" in sources
|
||||
assert all(s not in ("14.0", "14", "0") for s in sources) # no synthesis or clamp in extract
|
||||
|
||||
def test_source_tokens_are_surface_text(self) -> None:
|
||||
# All source_tokens for the new phrases must be literal substrings of the input.
|
||||
text = "2 more than 5 miles and 3 less than 17 stop signs and half of the kids and 3/4 of the group."
|
||||
for q in extract_quantities(text):
|
||||
assert q.source_token in text or q.source_token == ""
|
||||
|
|
|
|||
Loading…
Reference in a new issue