ADR-0020 next-level: close the parity-gate hole on the four remaining
ungated Rust surfaces.
Gates landed (subprocess-based, raw f32/f64 byte equality):
cga_inner — 14/14 bit-identical (random + basis blades + self-norm)
geometric_product — 15/15 bit-identical (random + basis blades + scalar identity)
versor_condition — 9/9 bit-identical AFTER kernel fix
versor_apply — 8/8 intentionally skipped (see below)
Kernel fix: versor_condition_raw
The Python source-of-truth (algebra.versor.versor_unit_residual) folds
the geometric product + identity subtraction + Frobenius norm in f64.
The Rust kernel was folding in f32, drifting by 1 ULP on out-of-shell
inputs. Rewrote versor_condition_raw to promote inputs to f64, use the
existing geometric_product_f64/reverse_f64 building blocks, and cast
only the final scalar back to f32. Python is canonical per CLAUDE.md
sequencing rule 5.
Honest disable: versor_apply
The Rust versor_apply_closed diverges structurally:
(1) precision — f32 sandwich vs Python's f64 throughout
(2) closure form — Rust has a null-vector early branch + no
post-unitize condition recheck; Python is the
inverse (no null branch; recheck + seed-rotor
fallback)
Per ADR-0020 "default-off until parity passes", the Rust dispatch for
versor_apply is disabled in algebra/backend.py with a pointer to the
gate. The parity tests are skipped with explicit reason. The follow-up
f64 port is documented in the ADR's new Parity status table.
Lane registration: all four parity files added to --suite algebra.
After: algebra 124 passed, 8 skipped (was 86). All other lanes green:
smoke 54, runtime 19, cognition 57, teaching 17, packs 6. Cognition
eval 100%.
Establishes a typed epistemic surface for stored claims without
importing any source-trust bias. The status enum (COHERENT,
CONTESTED, SPECULATIVE, FALSIFIED) describes a claim's position
in the revision graph, not the credentials of its source. No
tier in the schema carries inherent trust weight.
Three commitments:
1. epistemic_status is a position in the revision graph, not a
trust tier. Source labels (peer_consensus / outsider /
established / unauthoritative) are explicitly excluded.
2. Non-hardening invariant: no reviewed claim, relation, or
edge ever becomes unrevisable. No final/frozen/axiom flag
may be added. Stage-3 inversion (versor-conjugate
correction) is always available.
3. Coherence is the only admission signal. v1 is curator-
mediated but bias-free at the schema level; v2 must add a
structural coherence metric so the tag has geometric teeth
and not just curator authority.
Schema impact: PackMutationProposal.epistemic_status,
review outcome carries status alongside ACCEPTED/REJECTED_IDENTITY,
lexicon entries get an optional epistemic_status field,
trace_hash folds in epistemic_status for replay verification.
Named v2 gap: structural coherence metric recipe (cga_inner
agreement with the existing reviewed field) is committed as
the path forward.
Implementation lands as a Phase 5 parallel-track item alongside
Rust parity per ADR-0020.
ADR-0020 moves to Accepted. Phase 5 — Curriculum Era opens
2026-05-16 on the Python runtime. Rust backend parity port
runs as a parallel track, per-surface bit-identity gated,
default-off until each surface's parity test passes on main.
First Phase 5 lane: 5.1 English fluency v5 OOD.
First Rust parity port: vault_recall.
Phase 4 exited 2026-05-16. All three planned lanes shipped:
sample_efficiency (one-shot-per-correction, replay 1.0),
long_context_cost (slope 0.99 linear after ADR-0019 Stage 1),
multi_agent_composition (15/15 public, composition does not
launder identity violations).
PROGRESS.md updated with full Phase 4 narrative and exit
checklist.
ADR-0020 opens the next sequencing decision: Phase 5
(curriculum era) vs. Rust backend parity port. Three options
laid out (A: Phase 5 first, B: Rust first, C: parallel with
per-surface bit-identity gating). Recommendation: Option C.
Status remains Proposed pending user confirmation.
Phase 4 lane #2 (long_context_cost) measured vault.recall latency
as a function of vault size N. The pre-vectorisation curve was
median 875 ms at N=1k, ~9 s at N=10k — unfit for runtime use.
ADR-0019 Stage 1 replaces the per-element Python dispatch loop in
algebra/backend.py::vault_recall with a vectorised exact scan over
the diagonal Cl(4,1) CGA inner-product metric. Per-versor serial
component reduction order is preserved, so scores are bit-identical
to the scalar cga_inner path. CLAUDE.md exactness is preserved; no
approximate recall is introduced.
Post-vectorisation: 0.217 ms at N=1k, 20.795 ms at N=100k. Slope
0.99 (linear). ~4,000-5,000x speedup at every probed N. Smoke,
algebra, and runtime suites all green.
Stages 2 (norm-bucketed exact pre-filter) and 3 (layered store
with deterministic promotion) are documented in ADR-0019 but
deferred — Stage 1 has dissolved the bottleneck at the scales
relevant to current curriculum work.
Pins the two open scope decisions that the capability roadmap
(ADR-0016) tagged "Before Phase 3". Both are resolved with explicit
ADRs and PROGRESS.md is updated to reflect.
ADR-0017 - Agency: responsive-with-axiology
- Turn boundary stays responsive (no autonomous initiative, no
background agent loop, no inter-turn processes).
- IdentityManifold value axes become load-bearing for articulator
candidate selection (within a single turn). Goal-directedness
lives inside the turn, not across turns.
- Replay determinism is the load-bearing constraint that rules
out pure agentic loops.
- Rejects pure-responsive (would relegate identity to read-only)
and pure-agentic (would break trace_hash replay contract).
ADR-0018 - Tool use: typed deterministic operators
- Operators are pure functions over CORE's typed state. No
external IO at this stage (no shells, network, external models).
- Operator registry is curated, small, ADR-gated; no plug-in
surface, no dynamic loading.
- Operators participate in trace_hash so replay stays bit-stable.
- Initial operator set lands in Phase 3 v2: transitive_walk over
proposition graph + path_recall over vault. Closes Gap 1 + Gap 2
from the inference-closure / multi-step-reasoning / compositionality
/ cross-domain-transfer v1 findings.
- Rules out: generic plugin protocols, LLM-as-judge, approximate
retrieval, anything that breaks the exact-CGA / replay
contracts in CLAUDE.md.
Future extensions recorded but explicitly deferred: calculator
(Phase 4+), document retrieval over content-addressed packs,
metaphor / narrative / writing-style operators (downstream of
cross-domain-transfer literal case working).
This unblocks Phase 3 v2 engineering. Next: the transitive_walk +
path_recall bundle as a single bounded PR per ADR-0018, plus the
trace_hash extension to fold operator invocation records.
Implement the eval infrastructure defined in ADR-0016 before building new
eval lanes. This establishes the discipline that governs the entire
capability roadmap.
- Generic eval framework (evals/framework.py): lane discovery, versioned
scoring, result persistence
- Cognition lane retrofitted into new convention: 45 cases split into
stratified dev (13) / public v1 (13) / holdout (19) sets with contract,
runner, and recorded results
- Generalized `core eval <lane>` CLI: dynamic lane discovery, --list,
--version, --split, --save, --json flags
- Holdout runner scaffold: plaintext fallback, encryption interface ready
- Baseline runner scaffold: pluggable frontier model interface
- Fix: CognitiveTurnPipeline.run() crashed on turn_log[-1] when the
unknown-domain gate returned a stub without appending to turn_log
- ADR-0016, eval_methodology.md, PROGRESS.md, capability gates session log
Phase 0 exit audit found two methodology issues:
1. Pipeline turn_log crash (fixed here)
2. Versor drift in multi-turn sessions (pre-existing, under investigation)
- docs/decisions/ADR-0008-allocation-physics.md
Formalizes salience, attention, inhibition, and coherence-budget
as the allocation physics of cognition. Replaces attention-as-weights
with attention-as-field-curvature over the versor manifold.
- docs/decisions/ADR-0009-compositional-physics.md
Defines temporal binding, digest cycles, reasoning trajectories,
and articulation planning as the compositional physics layer —
how CORE assembles pressure into structured thought and output.
- docs/decisions/ADR-0010-identity-physics.md
Establishes IdentityManifold, DriveGradientMap, ExertionMeter,
and CharacterProfile as structural identity primitives. Identity
is a field over the geometry, not a prompt veneer. Grounded in
John 1:1–2 and the Logos theology that anchors the architecture.
- docs/architecture/MIND-PHYSICS-BLUEPRINT.md
Integration blueprint showing how allocation → compositional →
identity physics layers compose into the full cognitive cycle.
- core/physics/ (11 Python interface stubs)
SalienceOperator, AttentionOperator, InhibitionOperator,
BindingFrame, DigestCycle, ReasoningTrajectory,
ArticulationPlanner, DriveGradientMap, ExertionMeter,
IdentityManifold, CharacterProfile — all typed, all frozen
where stateless, all carrying explicit field contracts.
Third Door: no off-the-shelf cognitive architecture borrowed.
All operators defined from the geometry up.
