_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.
6.2 KiB
Grammar Round-Trip Eval Lane — Contract
Lane: grammar_roundtrip
Version: v1
Created: 2026-07-26
Plan: docs/plans/grammar-unification-2026-07-26.md (Phase 1)
What this lane measures
Whether CORE can read what it writes and write what it reads — and, critically, whether it refuses word salad.
Why it exists
evals/deterministic_fluency reports 1.00 on all six of its predicates
and still passes every one of these:
| candidate | passes deterministic_fluency? |
|---|---|
"banana does the." |
yes |
"wet ground rains the is." |
yes |
"is is is is." |
yes |
It checks terminal punctuation, presence of a verb-shaped token, and two anti-shape regexes. It cannot distinguish English from word salad, so its 100% carries no information about fluency.
Heuristic predicates will always have that failure mode, because grammaticality cannot be measured without a grammar. This lane therefore measures agreement between the two halves of CORE that already encode grammar — the reader and the writer — and requires the measurement to fail on salad. Round-trip is falsifiable with no judge, no embedding, and no gold aesthetic.
The two directions
| direction | pipeline | what a failure means |
|---|---|---|
| G-round-trip | graph → realize_target → surface → comprehend → graph |
CORE cannot read its own writing |
| S-round-trip | surface → comprehend → graph → categorical renderer → surface |
CORE cannot reproduce what it just understood |
Both are reported because they fail for different reasons and have different remedies.
Metrics
| metric | definition |
|---|---|
g_write_rate |
fraction of graph cases the writer produced any surface for |
g_read_rate |
fraction of written surfaces the reader comprehended |
g_args_rate |
fraction of expected propositions whose argument pair was recovered |
g_predicates_rate |
fraction whose predicate name was recovered on the same arguments |
g_exact_rate |
fraction recovered exactly (predicate + arguments + polarity) |
s_read_rate |
fraction of positive surfaces comprehended |
s_renderable_rate |
fraction whose projection the categorical renderer can express at all |
s_surface_match_rate |
fraction that render back to the input surface |
reject_rate |
fraction of the negative corpus refused or reduced to zero propositions |
g_args_rate and g_predicates_rate are reported separately on purpose. High
argument agreement with low predicate agreement means the grammars align and
only the vocabulary is split — a materially different remedy from both being
low. Collapsing them into one boolean would hide the distinction that decides
this arc's direction (plan §6).
Corpora
| corpus | source | size |
|---|---|---|
| positive graphs | committed english_fluency_ood + grammatical_coverage case files |
293 |
| positive surfaces | in-module, each verified comprehensible by probe | 8 |
| negative surfaces | hand-authored salad + deterministic token shuffles of the positives | 16 |
The shuffles are load-bearing: they are lexically identical to positive
cases — same vocabulary, same length, order destroyed. A lane that rejects
hand-authored salad but accepts the shuffles is doing vocabulary checking, not
grammar checking. Shuffling uses a fixed rotation rather than a PRNG so
reject_rate is byte-reproducible.
Thresholds
| metric | v1 requirement | rationale |
|---|---|---|
reject_rate |
1.00, always | the guarantee; regression is a hard failure |
g_read_rate |
recorded baseline, revised upward only | currently a measured defect |
s_surface_match_rate |
recorded baseline, revised upward only | currently a measured defect |
v1 baseline — measured on main @ 9696443a
graph_cases 293
g_write_rate 1.000
g_read_rate 0.000 <-- CORE reads 0% of what it writes
g_propositions_expected 370
g_args_rate 0.000
g_predicates_rate 0.000
g_exact_rate 0.000
surface_cases 8
s_read_rate 1.000
s_renderable_rate 0.625
s_surface_match_rate 0.000 <-- nothing renders back to its input
negative_cases 16
reject_rate 1.000 <-- the guarantee holds
Two of these are pins on known defects, not goals. They are expected to be revised upward by plan Phases 2B and 5, and must never be revised downward to accommodate a regression.
s_renderable_rate = 0.625 is not a defect: 3 of the 8 positive surfaces
project to member / less predicates, which have no all X are Y categorical
surface at all. Those are reported as unrenderable rather than as match
failures, because "cannot write this" and "wrote this wrongly" need different
fixes.
What this lane does NOT prove
Round-trip is necessary, not sufficient for fluency. It measures mutual
intelligibility — both halves agreeing about a surface. Two halves can agree
on an impoverished construction: english_fluency_ood accepts "river flows valley" as a correct surface, and round-trip would be perfectly happy with it.
So a high round-trip rate licenses "CORE means what it says", never "CORE writes well". The negative corpus is what prevents the first failure mode. Nothing in this lane prevents the second, and no metric here should ever be cited as evidence of prose quality.
Mutation guarantees
Every guarantee is paired with a test proving it can break
(tests/test_grammar_roundtrip.py):
test_reject_rate_goes_red_when_the_reader_accepts_everything— an accept-everything reader must drivereject_rateto 0.0. Without this,reject_rate == 1.0would be unfalsifiable, which is precisely the defect that makes the existing fluency lane decoration.test_shuffled_negatives_reuse_positive_vocabulary— closes the vocabulary-checking escape hatch.test_positive_surfaces_are_all_inside_the_reader_envelope— a refused positive would silently measure reader coverage instead of round-trip.test_quantifier_map_matches_reader— the lane keeps a deliberate local copy of the reader's quantifier map so it never becomes a consumer of the thing it measures; this test fails loudly if the reader's map changes.