Two corrections from this session's source verification:
- B3.5 D2 (calibration artifact): coherence between report.json and
ratification_queue.json is necessary but NOT sufficient. The 95/50/5 earned
state is a fossil from the disabled resolve_pooled scorer (queue committed in
b82897a0); no current runner reproduces it (main()=6/44/0, candidate-graph
practice=0/1/149). Acceptance now requires report.json be byte-reproducible
by a documented deterministic runner pass; copying numbers between artifacts
is inadmissible. Three routes named (honest-floor now, earn-it-for-real
follow-up, defer).
- C1 (cognitive pipeline visualizer): corrected the false "reader-first over
existing telemetry" framing. Verified the journal persists only ~12 surface
fields of CognitiveTurnResult's ~25; no /trace/{id}/pipeline endpoint. C1-a's
real first deliverable is a persistence change: a curated
CognitivePipelineRecord (never the raw field_state multivectors — O(n^2)
cost), a runtime-contract update, and a non-vacuous fail-closed test.
The docs/proposal-artifact-substrate-v1 work (#727) — wave-m-consolidation-b3.5,
core-logos-studio-plan, proposal-artifact-substrate-v1 — is the authoritative
consolidation and supersedes the parallel 'Phase A' I'd just drafted. Reconciling
to one source of truth:
- FOLD IN the one genuine gap b3.5 missed (a design review caught it): the
Calibration centerpiece undersells — the reader reads the sub-N_MIN committed
practice report.json, so on live data no class shows licensed, while the
earned state (additive 95/5/100, PROPOSE-licensed) sits in the disagreeing
ratification_queue.json. Added as a diagnosis addendum + a Deliverable-2
acceptance criterion (make the committed practice artifacts coherent; show
≥1 earned class). Data-side fix, not a re-derivation.
- FOLD IN the grouped-navigation idea: a field on the route registry
(Deliverable 1) + the organism's-loop grouping (Converse/Cognition/Evidence/
Determinism/Discipline/Substrate/Settings), with the correction that
'core-logos' is the language/manifold Studio surface, not the cognition cluster.
- REDIRECT wave-M-worthiness.md's consolidation section to point at b3.5 instead
of defining a parallel Phase A.
- SCRAP duplicates: wave-M-phaseA-briefs (duplicated b3.5) and
workbench-ui-ux-guide-brief (superseded by b3.5 Deliverable 4).
Boils the design review and the information-architecture decision into one
integration. Phase B's heart (calibration/serving discipline) is done;
Phase A (Structure & Polish) now runs BEFORE resuming Phase C because two of
its items are structural prerequisites the Cognition cluster lands into.
Key synthesis: the command-palette drift bug and the grouped-nav idea are
the SAME fix — navigation derives from one registry that also encodes
structure. Standing IA constraint: one workbench, one address space, one
Chain Rail; grouping is a wayfinding skin, never an architectural fork; no
separate workbenches (the single evidence model is the thesis); 'levels' are
depth-within-a-surface, not top-level categories.
Phase A brief pack (wave-M-phaseA-briefs):
- A1: navigation registry (one source of truth) + grouped nav by the
organism's loop (Converse/Cognition=core-logos/Evidence/Determinism/
Discipline/Substrate/Settings) + palette fix (Demos+Calibration are
currently unreachable via ⌘K; the ⌘1-0 map is stale)
- A2: Calibration earned-state — the centerpiece undersells (reads the
sub-N_MIN report.json; the earned license lives in the disagreeing
ratification_queue). Primary fix: regenerate coherent practice artifacts;
fallback: reader surfaces both with provenance
- A3: Doctrine station ('how this UI can't lie') — elevate contracts/checks
into a first-class surface; trails, larger
Parked: B4 (needs engine-side license stamping; no re-derivation),
Calibration EvidenceSubject kind.
Wave M takes the workbench to mastery and closes its biggest design gap:
it surfaces the teaching/ratification loop but is blind to the
calibrated-learning / serving-discipline loop (gold-tether arena, reliability
gate, Wilson floor vs θ ceiling, 'the engine earns the right to guess') and
to cognition itself (pipeline stages, field substrate, identity continuity).
Lens: Anthropic + xAI as target users who'd WANT to use it.
- wave-M-worthiness.md: full plan, Phases A–E, the missing-surfaces table,
the backend-reader-first / never-re-implement-engine-math disciplines,
execution order (B→C→D, A parallel).
- wave-M-phaseB-calibration-briefs: executable Phase B pack grounded in the
real core/reliability_gate shapes (ClassTally / conservative_floor /
license_for / Action θ) and the committed report.json evidence — B1
readers (GATING, Python), B2 Calibration route, B3 wrong=0 global frame,
B4 leeway wiring. Dependency DAG + STOP gates + no-theater rules.
