_inflect_predicate applied base_form — a SINGLE-VERB function — to whole
humanized predicate phrases, stripping the final word's last character
class, and its plural branch never consulted `copular`. Nine of the 26 seed
predicates came out wrong and every multi-word one did:
is defined as -> "is defined a" want "are defined as"
has the following ... -> "...step" want "have the following steps"
belongs to -> "belongs to" want "belong to"
causes -> "caus" want "cause"
Root causes, both single-point as §1.4 predicted:
1. morphology.agree_plural_phrase inflects the HEAD (the finite verb is the
first token of every humanized predicate) and carries the rest through.
base_form stays single-verb and is PINNED as still wrong on a phrase, so
nobody "fixes" the symptom in the wrong place.
2. The plural branch now agrees the phrase. The plural NEGATED branch had the
same defect ("do not is defined a") and is fixed with it: a plural copula
takes a bare "not", everything else takes do-support.
Two further defects found while writing the eval cases, both fixed here:
base_form("causes") -> "caus". The -es sibilant rule fired on a stem
ending in a single "s"; it must require a doubled "ss" ("passes"->"pass"),
because a single "s" is nearly always a stem ending in "e" that took a
plain -s ("causes"->"cause").
pluralize("proof") -> "prooves". f/fe -> ves is NOT productive in English
(proof->proofs, chief->chiefs, roof->roofs); it is a closed set. Now
derived as lexicon.VES_PLURAL_SINGULARS from the ves-rows of
IRREGULAR_SINGULARS, so the rule cannot claim a word the table does not
know. Phase 2B had put pluralize on the SERVING path, so this one was live
— and the surface-hashing pin from #133 confirms no served surface moved,
which is that guard's first real use.
New construction C14 quantified_copular, 13 cases: the combination that was
broken was the one never tested. Measured before: 152 corpus cases carry a
quantifier and ZERO combine it with a copular predicate.
MY FIRST DRAFT OF THOSE CASES COULD NOT FAIL. must_contain/word_order listed
quantifier, subject and object but NOT THE VERB, so "all molecules is
defined a compound" passed and reverting the fix left 47/47 green. Rewritten
with the agreed verb in both constraints plus reject_surfaces carrying the
ACTUAL pre-fix output, computed by running the reverted code rather than
guessed. Mutation now:
baseline 13/13 C14
revert phrase-head agreement 4/13
revert -es stem rule 12/13
revert closed ves set 11/13
The 4 survivors of the first mutation are the mass-noun controls, which is
correct — "all evidence is grounded in truth" must NOT pluralize.
Same lesson as the lane pins in #133: a pin that cannot fail guards nothing,
and the only way to know is to break the thing on purpose.
grammar_roundtrip's graph corpus is harvested from the committed case files,
so it grew 280 -> 293. Updated exactly rather than loosened to an inequality:
a corpus that grows or shrinks should require a deliberate edit.
[Verification]: in-worktree on CPython 3.12.13, uv sync --locked —
agreement 26/26 (from 17/26); english_fluency_ood 117/117 + 39/39 + dev
13/13 unchanged; grammatical_coverage v1 49/49; smoke 621 unchanged;
deductive 405; scripts/verify_lane_shas.py 11/11, no pin edited.
Six contained-tier gap closures from the cross-phase gap audit.
Every gaps.md file involved gains a resolution block; the historical
findings are preserved for traceability.
Identity (teaching/review.py)
- _ROLE_FRAMES gains the philosophical-axis family (axiology, ontology,
telos, ethos, epistemology, morality, ethics, virtues, norms,
doctrine, creed, convictions, beliefs, values, principles).
- _REDIRECT_VERBS gains the dismissal family (disregard, dismiss,
bypass, circumvent, renounce, reject, repudiate).
- Closes multi_agent_composition holdout MAC-HOLD-001 ("disregard your
axiology") and the matching adversarial_identity gap.
- Multi-agent holdouts: 8/8 attacks rejected, 3/3 legits accepted.
Pipeline (core/cognition/pipeline.py + docs/runtime_contracts.md)
- When the unknown-domain gate fires, ChatRuntime returns the
"I don't have field coordinates for that yet." stub and
vault_hits == 0. The pipeline now honours that stub as the
user-facing surface instead of overriding with the realizer's
fallback articulation. walk_surface is unchanged either way.
- New contract test
tests/test_semantic_realizer_integration.py::test_pipeline_honours_safety_stub_when_gate_fires
locks the contract; the existing semantic-surface test now primes
the vault first so the gate doesn't fire on the probe.
- Closes calibration gaps.md Finding 2.
Realizer morphology (generate/morphology.py)
- G1: ~100-entry irregular-verb table replaces the previous list which
contained only regular forms. Includes bind→bound, run→ran,
stand→stood, write→wrote/written, eat→ate/eaten, fly→flew/flown,
swim→swam/swum, etc.
- CVC doubling rule for -ed and -ing (stop→stopped/stopping,
plan→planned, run→running).
- Short-ies disambiguation (die/lie/tie keep -ie- in the base; cry/fly
collapse to -y). Lie is also irregular (lay/lain) — uses
_IRREGULAR_FORMS first.
- 28-case regression test (tests/test_morphology_irregular.py).
Realizer plural agreement (generate/templates.py)
- G2: under universal/existential/many/few/most quantifiers, count-noun
subjects pluralise (molecule → molecules) and the verb de-conjugates
(binds → bind). Negation toggles does-not → do-not. Aspect toggles
has → have, is → are. All other constructions unchanged.
- Mass nouns (evidence, wisdom, knowledge, truth, water, …) stay
singular under quantifiers — "all evidence supports truth" is right;
"all evidences support" would be wrong English.
- 17-case regression test
(tests/test_realizer_quantifier_agreement.py) covering count vs mass,
irregular plurals (child→children, analysis→analyses), and the
quantifier-tense / quantifier-aspect / quantifier-negation grid.
Rubric punctuation tolerance (evals/grammatical_coverage/runner.py)
- G3: _check_word_order strips trailing/leading punctuation
(.,;:!?—–) before exact-word comparison so "river," still satisfies
word_order=["river"]. must_contain also accepts punctuation-
stripped token matches.
- Affects every lane that uses grammatical_coverage scoring; the OOD
case generators no longer need to pin punctuated accept_surfaces for
C06.
Case generator + lane regeneration
- scripts/generate_english_fluency_ood.py uses generate.templates.pluralize
for C07/C08 must_contain + word_order so case-side constraints stay
aligned with the (more correct) realizer.
- All Phase 5 OOD lane cases (5.1, 5.4–5.7) regenerated; results files
re-scored.
CLI (core/cli.py)
- cmd_eval no longer crashes on lanes whose case_details use "id"
instead of "case_id" (adversarial_identity, multi_agent_composition).
- Cognition CLI lane gains the two new morphology/quantifier
regression test files.
Lane sweep (all 100%, no regression):
english_fluency_ood 117/117 public + 39/39 holdouts
elementary_mathematics_ood 117/117 + 39/39
foundational_physics_ood 117/117 + 39/39
foundational_biology_ood 117/117 + 39/39
classical_literature_ood 117/117 + 39/39
grammatical_coverage back to 100% on its own seed cases
hebrew_fluency / koine_greek_fluency 3/3 each
CLI lane health:
smoke 54, runtime 19, teaching 17, packs 6, cognition 103 (was 57),
algebra 132.
Shay