The ratified, flag-ON v1b categorical band served "all dog are mammal" for
every noun: the A/E/I/O templates supply all/no/some + are, which demand a
plural, and the slots were filled with singular canonical entity ids. Four
of the 47 ratified corpus cases were affected, and wrong=0 never noticed
because every verdict was correct — only the prose was wrong.
Two fixes that compose into a closed round trip:
1. generate/morphology.py becomes the single owner of the number RULES
(Phase 2A gave the TABLES one owner). Both directions live there:
pluralize + singularize, over lexicon.IRREGULAR_PLURALS /
IRREGULAR_SINGULARS, with mass-noun and compound-head handling.
templates.pluralize and reader._singularize were two independent copies
of the regular suffix rules that disagreed about which irregulars they
knew; both now delegate.
2. render._display_noun re-inflects at render time and swaps _ for a space,
so compound ids read "guard dogs" rather than "guards dog" or
"guard_dog".
Result: reader gives wolves -> wolf, renderer gives wolf -> wolves. The
round trip closes.
0 malformed of 47 (from 4)
reader-vs-reader singularization 20/20 (from 8/20), 0 silently wrong
s_surface_match_rate 0.0 -> 0.625, now EQUAL to s_renderable_rate, so the
only remaining losses are surfaces the renderer cannot express at all
NEAR-MISS — widening a reader broke soundness, caught by the lane:
Routing the reader through the full 29-entry table first produced wrong=1 on
band v6-EX. ds-ex-0012 ("No fish are mammals. Therefore some fish are
mammals.") answered invalid where gold is refuted.
_singularize returning None makes the reader REFUSE, and the serving
composer tries the categorical band FIRST, falling through to more capable
bands. "fish" previously returned None (it matches no suffix rule), so v6-EX
got the case and decided it correctly. Resolving "fish" made v1b accept a
sentence it cannot decide.
Fixed by a principle, not a patch: a number-INVARIANT form is ambiguous in
number — "fish are mammals" is plural, "a fish is a mammal" is singular, and
the token cannot tell you which — so a reader that must not guess number
declines it. lexicon.INVARIANT_NUMBER is derived from the singularizer's own
key == value rows, so the rule cannot drift from the table.
=> Coverage and correctness are different axes. Fixing a corrupted VALUE is
safe; widening ACCEPTANCE changes which band answers, and in a
first-match composer that turns a right answer into a wrong one. Same
family as ADR-0261 5.1 refuse-don't-drop.
Also fixed, found by testing the inverse law: the two number tables were not
mutual inverses. The pluralizer lacked cactus->cacti, fungus->fungi,
die->dice and the invariants aircraft/means/offspring, so CORE could read
"cacti" but wrote "cactuses", and would have written "aircrafts", "meanses",
"offsprings". No round trip can close across a non-invertible table.
THE LANE SHA PINS ARE BLIND TO SERVED ENGLISH:
2B changed 4 served surfaces and the pins came back 11/11 byte-identical.
The deduction_serve_v1 hashed report holds only n/counts/by_gold/
correct_by_gold/all_cases_correct/mismatch_examples — no prose at all.
Confirmed by sabotage: with _display_noun returning "SABOTAGE_" + ..., so
every clause reads "all SABOTAGE_dogs are SABOTAGE_animals",
11 lane SHA pins -> 11/11 byte-identical, blind
test_deduction_serve_lane + _license -> 20 passed, blind
Phase 1 grammar_roundtrip -> 3 tests RED, caught it
This corrects #129: byte-identity of the pins is the arbiter for values and
verdicts, NOT for surface text, so the 2A/2B split is not a partition of
"changes users can see." Phase 2A's 11/11 conclusion still stands on its own
independent evidence (24/24 table-equality checks vs the pre-migration
literals), but the justification was thinner than stated.
Before Phase 1 no test in the tree would have noticed CORE's served prose
turning into word salad. That is exactly how "all dog are mammal" survived
on a ratified flag-ON band with wrong=0 intact.
Deliberately not fixed: mass-noun verb agreement ("all evidence ARE truth"
should be "is"). The copula is fixed text inside the templates, so agreeing
it changes the template shape rather than a slot, and no mass noun reaches a
categorical clause in any serve corpus. Recorded in render.py.
No lane pin edited — none moved.
[Verification]: in-worktree on CPython 3.12.13, uv sync --locked —
smoke 621 unchanged; deductive 403 passed (383 + 20 new/rewritten);
scripts/verify_lane_shas.py 11/11 (see blindness note above — gate on
grammar_roundtrip for surface work, not on these pins).
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