Workstream 1 (pack content scale-up) first load-bearing step.
Adds a new ratified content pack covering the conversational vocabulary
en_core_cognition_v1 deliberately omits — speech acts, mental states,
perception, self-reference, and discourse-object nouns. These are the
lemmas that show up in nearly every model response and that previously
fell through to the OOV invitation surface.
Pack composition (73 entries, 49 VERB + 24 NOUN):
meta.speech_act.* (20 verbs) say tell speak reply claim state
describe express name mention note
observe declare assert deny confirm
suggest propose articulate respond
meta.mental_state.* (18 verbs) know believe think suppose assume
expect hope want prefer doubt wonder
guess recognize realize consider intend
decide hold
meta.perception.* (11 verbs) see hear feel sense perceive watch
look listen find detect notice
meta.self_reference.* (10 nouns) self mind view perspective position
role agent model system speaker
meta.discourse.* (14 nouns) response reply statement fact idea
point argument proposal suggestion
case instance example kind type
Files:
language_packs/data/en_core_meta_v1/
lexicon.jsonl — 73 entries, SHA-256 checksum-sealed
manifest.json — operational_base / D0 / checksum-verified
chat/pack_resolver.py
Appended en_core_meta_v1 to DEFAULT_RESOLVABLE_PACK_IDS after
en_core_cognition_v1 so cognition lemma resolution stays first-
match-wins on any future collision (preserves cognition-lane
byte-identity invariant).
core/config.py
Added en_core_meta_v1 to RuntimeConfig.input_packs default mount.
tests/test_en_core_meta_v1_pack.py
11 contract tests: checksum-verified load, POS split, primary-
domain namespace, no-collision-with-cognition-v1 regression gate,
pack registration order, resolver routing, and cognition-lemma
resolution unchanged.
tests/test_procedure_surface.py
Swapped two test fixtures from "claim" to "hypothesis". ``claim``
is now correctly pack-resident (meta.speech_act.claim) so the
procedure composer's object-first selector picks it over the verb
— the new behavior is semantically correct. ``hypothesis`` is
genuinely OOV across all mounted packs and preserves the verb-
fallback contract these tests pin.
Authoring methodology:
Four parallel subagents authored one cluster each from a strict
exemplar + word list + forbidden-lemma list (every en_core_cognition_v1
lemma listed explicitly to prevent collision). Each subagent wrote
only its cluster JSONL; the main pass assembled, validated, computed
the SHA-256 over bytes-on-disk, and wrote the manifest.
Verification:
Full lane: 2148 passed, 2 skipped, 0 failed (+11 new tests).
Cognition eval byte-identical on both splits:
public 100 / 100 / 91.7 / 100
holdout 100 / 100 / 83.3 / 100
Live runtime probes: fresh ChatRuntime() for "What is X?" with
X ∈ {fact, doubt, statement, model, self} all emit a
pack-grounded sentence from en_core_meta_v1.
OOV path still honest for genuinely-unknown terms (e.g. hypothesis).
Scope note:
This is one pack of ~70 lemmas, not "the model now articulates
open-domain English." The architecturally-honest articulation
story still requires more pack and teaching-chain content; this
pack moves the conversational-substrate boundary forward by ~70
lemmas in one ratifiable, replay-stable step.
ADR-0063 closes the ADR-0048/0050/0053/0061 hardcoded-cognition-pack
asymmetry. New chat/pack_resolver.py provides resolve_lemma(lemma,
pack_ids) → (resolving_pack_id, semantic_domains) across an ordered
tuple of mounted lexicon packs (first-match-wins, lru_cache per-pack).
Surface composers in chat/pack_grounding.py now consult the resolver
instead of a hardcoded en_core_cognition_v1. en_core_relations_v1
joins RuntimeConfig.input_packs defaults; kinship lemmas now ground
on the live path:
> What is a parent?
parent — pack-grounded (en_core_relations_v1):
kinship.ascendant.direct; kinship.parent; biology.progenitor.
No session evidence yet.
Cross-pack comparison (knowledge × parent) renders composite tag
(en_core_cognition_v1 × en_core_relations_v1). Cognition lane
remains byte-identical: cognition is resolved first and the surface
format for cognition lemmas is unchanged.
Cognition eval (byte-identical to pre-ADR baseline):
public → intent 100% / surface 100% / term 91.7% / closure 100%
holdout → intent 100% / surface 100% / term 83.3% / closure 100%
Curated lanes green: smoke 67 / cognition 121 / teaching 17 /
packs 6 / runtime 19 / algebra 132.
New tests: test_pack_resolver.py (28) + test_cross_pack_grounding.py
(17). test_en_core_relations_v1_pack.py: default-input-packs guard
inverted. test_pack_grounding.py: two stale ADR-0048 tests rewritten
(premises invalidated by ADR-0052/0061; now use fully-out-of-pack
prompts).
chat/teaching_grounding.py UNCHANGED — cognition_chains_v1 corpus
stays cognition-only. Cross-pack teaching corpora are the natural
ADR-0064.
Shay