core/evals/compositionality/gaps.md
Shay 819c8b81ac feat(phase3): compositionality, multi-step-reasoning, introspection, cross-domain-transfer v1
Spreads the four remaining Phase 3 lanes to map the full reasoning-
depth surface alongside inference-closure (already landed at e509e0d).
Each lane is a v1 honest probe per the roadmap; engineering work
follows once the full surface is visible.

Results across all five Phase 3 lanes:

  lane                      split        primary signal  foundation
  inference-closure         public/v1    0.0             1.0 / 1.0
  inference-closure         holdouts/v1  0.0             1.0 / 1.0
  compositionality          public/v1   0.0625 (1/16)   1.0 / 1.0
  compositionality          holdouts/v1  0.0             1.0 / 1.0
  multi-step-reasoning      public/v1    0.0             1.0 / 1.0
  multi-step-reasoning      holdouts/v1  0.0             1.0 / 1.0
  introspection             public/v1    0.0 (no api)    n/a
  introspection             holdouts/v1  0.0             n/a
  cross-domain-transfer     public/v1    0.0             1.0 / 1.0
  cross-domain-transfer     holdouts/v1  0.0             1.0 / 1.0

Foundation guarantees (storage + replay) intact across every lane
that has them. The reasoning-depth signal is uniformly zero. The
five lanes triangulate four architectural gaps:

  Gap 1. generate/graph_planner.py has no transitive composition.
  Gap 2. field/propagate.py has no derivable-but-not-asserted recall.
  Gap 3. core/cognition/explain.py module does not exist.
  Gap 4. no structural-pattern recogniser (cross-subdomain transfer).

Gaps 1, 2, 4 cluster on the same code surface and may close together
as a single bounded PR. Gap 3 is independent module-creation work.

Lane scaffolding mirrors inference-closure (contract.md, runner.py,
dev + public/v1 + holdouts/v1 cases.jsonl, baselines/v1_structural_zero.json,
gaps.md). All runners are parallel-safe and use the standard
run_lane(cases, *, config, workers) interface.

Per-lane gaps.md records the engineering shape for v2 plus future
directions worth not forgetting:
  - compositionality/gaps.md: metaphor is compositionality with
    selective property transfer; building it is correctly downstream
    of closing this lane.
  - cross-domain-transfer/gaps.md: metaphor + narrative as
    cross-domain operators; narrative requires the Agency open-scope
    decision to pin first.
  - introspection/gaps.md: explain API is also the substrate for
    first-person narrative self-account.

Recommended v2 sequence in docs/PROGRESS.md:
  1. Pin Agency + Tool-use open-scope decisions (deadline: before
     Phase 3 engineering).
  2. Engineer Gaps 1 + 2 as one bounded PR.
  3. Engineer Gap 3 independently.
  4. Re-author cross-domain-transfer v2 with matched-control
     contract refinement.

Phase 3 v1 exit: 0/5 lanes passing, which is the expected v1 floor.
CLI suites smoke / cognition / teaching pass; no regression on
Phase 2.
2026-05-16 14:48:36 -07:00

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3.1 KiB
Markdown

# compositionality lane — architectural findings (v1)
## v1 result
| Split | n | compositional_recall_rate | premises_stored | replay | no_leakage |
|---|---|---|---|---|---|
| public/v1 | 16 | **0.0625** (1/16) | 1.0 | 1.0 | 0.4375 |
| holdouts/v1 | 10 | **0.0** | 1.0 | 1.0 | 0.4 |
The single public hit is consistent with a realizer-template token
coincidence rather than real composition (no second hit on holdouts;
no pattern in the hit; not reproducible across patterns).
## Foundation intact
Every teaching turn fires a `PackMutationProposal`
(`premises_stored_rate = 1.0`); every (premises, probe) sequence is
trace-hash-deterministic (`replay_determinism = 1.0`). The
Phase 2 storage + replay guarantees survive at this depth.
## What v1 reveals
- **No composition operator.** Across three patterns
(`composed_predicate`, `novel_pair_under_seen_relation`,
`novel_relation_on_seen_pair`), CORE produces no surface evidence
of composing seen relation patterns into novel (relation, entity)
combinations.
- **Same root cause as inference-closure.** The realizer template
picks one node and emits a definition stub; no node-pair
composition step runs that would combine premises into a novel
surface.
## Authoring finding — leakage rate
`no_leakage_rate` is 0.4375 / 0.4 — i.e. several
`novel_pair_under_seen_relation` cases have a premise whose tokens
include both a probe entity and an expected target. This is
**intentional for that pattern** (the test is "given the model has
seen `R(A,B)` and `R(C,D)`, can it answer `R(A,D)` or `R(C,B)`?" —
both answers were taught as premise endpoints, just not together).
The strict author-time leakage check fires by design here. v2 of
this contract should replace the strict check with a pattern-aware
check: leakage means the specific `(probe_entity, expected_target)`
*pair* was taught in a single premise, not that the target appears
anywhere in premises.
This is filed as a contract refinement for v2; it does not change
v1's substantive finding.
## Architectural gap (same family as inference-closure)
Composition requires the proposition-graph planner to walk multiple
nodes and synthesize a derived articulation. `plan_articulation()`
in `generate/graph_planner.py` is single-node. Closing the
inference-closure Gap 1 — adding a transitive composition walk —
also closes the bulk of this lane's failure surface.
## Future direction (recorded here so it's not forgotten)
Metaphor and simile are structurally **compositionality with
selective property transfer**: "the heart is a pump" is the same
graph-traversal shape as the compositionality probes above, with a
filter that says *which* relations transfer across the analogy.
Building first-class metaphor support is correctly downstream of
closing this lane's literal-composition gap. When that lands, a
`metaphor-comprehension` lane becomes a natural Phase 3 v2 candidate.
## Status
v1 stands as honest-failure baseline. The lane is permanent
regression evidence; future engineering work on `graph_planner.py`
that closes inference-closure Gap 1 should be re-scored here.