_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.
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).
Collapses the duplicated closed English tables into generate/lexicon.py.
Measured on main @ 0948f7cd: the same facts were encoded up to five times
across the reading and writing paths, each copy written independently as a
successive deduction band landed.
The 2A/2B split is decided empirically per #129 — make the change, run the
11 pinned lanes, let byte-identity rule. Result: 11/11 byte-identical, so
this entire unit is 2A and nothing spilled into the authorization-gated 2B.
Collapsed to one object:
- connectives 3 identical copies (member, verb, cond_member)
- predicate display 2 identical 26-entry copies (semantic_templates,
templates)
- be-form inventory 5 copies, not the 2 §1.3 counted. The structural
test found realizer_guard._BE_AUX and
chat/runtime._BE_FORMS, which a COPULA-shaped grep
could never see.
Derived rather than duplicated, so they can no longer drift:
- STRUCTURAL = CONNECTIVES | {therefore}
- QUANTIFIER_TOKENS = QUANTIFIER_LEAD | QUANTIFIER_NON_LEAD
- NEGATION_BEARING_WITH_NOT = NEGATION_BEARING | {not}
- READER_IRREGULAR_SINGULARS = IRREGULAR_SINGULARS restricted to 8 keys
§1.3 re-measured while doing this, and it overstated the disease (plan
§1.9). Almost nothing contradicts:
- the "3 divergent plural tables" are 1 pluralizer + 2 singularizers,
i.e. inverse directions; comparing them as copies is a category error
- reader's 8 singulars are a STRICT SUBSET of member's 29 with the
difference in reader's favour empty, so its values are all correct and
only its coverage is short
- the "3 divergent quantifier sets" are 3 distinct facts; every/each lead
a clause but take singular nouns, so their absence from
PLURAL_QUANTIFIERS is correct
- english's negation set is a subset of member's, and the difference is
principled: v2-EN normalizes "<copula> not", v3-MEM refuses it
Exactly one genuine contradiction exists in the whole inventory:
discourse_planner maps is_defined_as -> "is" where the others map it to
"is defined as". Preserved as a register choice, pinned by test.
Found while reading, pinned as current behaviour for 2B to flip:
reader._singularize does NOT refuse uncovered plurals despite a comment
claiming it does — it falls through to a bare -s strip, so news -> new and
species -> specy, exactly the corruptions member.py's table comment says
its table exists to prevent.
Two 2A exit criteria were unmeasurable as written and are replaced:
- "Jaccard -> 1.00" cannot work. measure_grammar_seam.py scans source
literals, so unifying a fact removes it from those files and Jaccard
FELL, 0.083 -> 0.023 — the success direction reported by a metric
shaped to read like failure. Replaced with an object-identity count:
3 distinct objects behind 8 names, from 8-behind-8. Value comparison
cannot tell a shared object from two equal copies.
- "one table per fact" presumed §1.3's inventory was right. The report now
separates must-be-one-object (all UNIFIED) from related-but-distinct
(6 relations, all HOLD).
ADR-0258 §5 already decided morphology's destination is a ratified pack,
triggered by a grc/he member band. No such band exists, so the promotion is
correctly deferred and lexicon.py is a staging area, not a rival home — no
new ADR. Destination measured for whoever picks it up: packs/en/morphology
.jsonl has 9 records and zero irregular plurals, features.number has no
consumer, and _pack_morph_roots_for reads a top-level "root" key that 0 of
31 records across all four packs define, so it returns {} every call.
[Verification]: in-worktree on CPython 3.12.13, uv sync --locked —
smoke 621 unchanged; deductive 383 (364 + 19 new);
scripts/verify_lane_shas.py 11/11 byte-identical.
Adds a typed legality check that catches a narrow class of incoherent
finite-predicate surfaces before they ship. Scope is deliberately
narrow:
- generate/articulation_legality.py:
- SlotKind enum {VERB, NON_VERB, UNKNOWN}
- ArticulationLegality enum {LEGAL, ILLEGAL_NON_VERB_FINITE_PREDICATE}
- classify_predicate_slot_kind() — token allowlists for known verbs
and known non-verb nouns
- validate_finite_predicate_legality() — fails on negated +
NON_VERB; fail-open on UNKNOWN to preserve canary behavior
- generate/templates.py:
- _inflect_predicate: copular-aware negation
("is X" -> "is not X" instead of the default "does not be X")
- render_step: invokes the legality validator; returns
"I cannot realize that proposition coherently yet." when an
illegal shape is detected
The check is upstream of register / anchor-lens transforms (presentation
+ substantive axes both downstream of the realizer); no interaction
with R6 / ADR-0073 layering.
Tests pin:
- NON_VERB + negated -> ILLEGAL_NON_VERB_FINITE_PREDICATE
- UNKNOWN + negated -> LEGAL (fail-open preserved)
- render_step returns the disclosure string when illegal detected
- render_step still produces the fall-through surface on UNKNOWN
Validation:
- Cognition eval byte-identical (100/100/91.7/100)
- 370 realizer / lens / register / pack / lane tests pass
- anchor-lens-tour + register-tour both green
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