First Phase 4 lane lands. Measures corrections-to-competence curves
across 17 concepts (10 public + 7 holdouts disjoint). Per-concept
curriculum is a 4-hop chain of "is" corrections; probe asks the
chain head after each cumulative-correction count; score is the
count of chain-tail tokens visible in the probe surface.
Phase 4 framework discipline ("Plot, do not threshold" per
docs/capability_roadmap.md): the lane reports quantitative curves
and one structural gate (replay_determinism >= 0.95), not the
binary pass/fail thresholds of Phases 1-3.
Results:
split concepts first_hit saturation rate replay
public/v1 10 1.0 4.0 1.0 1.0
holdouts/v1 7 1.0 4.0 1.0 1.0
Every concept's curve: [0, 1, 2, 3, 4]. One correction -> one new
chain hop -> one new token visible in surface. Perfectly linear
sample efficiency on chain curricula; no diminishing returns; no
plateau; no spurious confabulation at k=0.
What the linearity says about CORE:
- The reviewed-teaching loop integrates each typed correction
into the proposition-graph substrate.
- The typed inference operator (transitive_walk, ADR-0018) surfaces
the chain endpoint on the next probe.
- The result is one-shot learning per correction on chain shapes -
visible by construction, not inferred from training statistics.
- Replay determinism = 1.0 across all snapshots means the curve
is the deterministic function of (concept, k), not a sampled
estimate of a stochastic process. Frontier systems cannot
publish this curve at all because their per-snapshot output is
not reproducible.
Lane contents:
contract.md - specifies the curve discipline, anti-overfitting
rules (disjoint concept sets, one-new-token-per-correction
invariant), and reporting structure.
runner.py - parallel sweep across snapshots, two-run replay
check per snapshot, per-concept curve aggregation.
dev/cases.jsonl (2 concepts) - smoke set.
public/v1/cases.jsonl (10 concepts) - wisdom, light, truth,
creation, meaning, reason, principle, identity, memory, question.
holdouts/v1/cases.jsonl (7 concepts) - being, spirit, distinction,
correction, verification, explanation, procedure.
baselines/v1_structural_zero.json - frontier baseline by
construction (per-snapshot reproducibility absent).
gaps.md - findings + v2 contract refinements (branching curricula,
distractor corrections, OOD probes, mixed-relation chains, CI
reporting).
CLI suites smoke / teaching all pass; no regression. PROGRESS.md
updated.
Phase 4 status: 1 of 3 lanes lands as v1 complete with a clean
result. Remaining lanes: long-context-cost (vault scaling 10^3-10^6)
and multi-agent-composition (two-instance cooperation with replay
preserved per agent).
