Session Log — 2026-05-13

Participants: Joshua Shay, Perplexity
Focus: Ingest layer governance design, sensorium multimodal architecture, build queue ordering, documentation audit

Summary

This session produced the three most significant architectural decisions since the Cl(3,0) → Cl(4,1) migration: the design of the core_ingest/ governance layer (ADR-0012), the design of the sensorium/ multimodal protocol layer (ADR-0013), and the constraints governing the future train/ learning loop (ADR-0014).

1. README and Identity Corrections

The README previously had no identity — no engineering pillars, no language philosophy. It also contained a product description for AssetOverflow that doesn't belong in a technical repository.

Changes committed:

Added the Three Engineering Pillars section: Mechanical Sympathy, Semantic Rigor, Third Door
Added the Three Core Languages section: English (default base), Hebrew and Koine Greek (depth languages), with the full John 1:1–2 theological grounding
Removed the AssetOverflow org description
Updated docs/Whitepaper.md to correctly name and separate the Three Engineering Pillars from the Architecture Invariants

2. `core_ingest/` — The Ingest Governance Layer

Original design reviewed: CandidateGeometricPressure envelope, DeterminismClass taxonomy, IngestCompiler three-gate validation, ReviewLevel governance, SegmentManifold index, Rust hot-path for SHA-256/canonical JSON/lemma normalization.

Key decision — LLM extraction rejected:
The original core_ingest design used an LLM as the extraction engine for large documents. This was rejected on two grounds:

An LLM is a D3 nondeterministic oracle feeding the only normalization site in the system. Every extracted packet would land in ARCHITECT_REVIEW_REQUIRED territory, defeating utility at scale.
An LLM interprets, not parses. Its semantic projection is silently embedded in the field state, violating Semantic Rigor. The field owns semantic interpretation.

Replacement: A deterministic StructuralSegmenter that carves at form boundaries (headings, paragraph breaks, verse markers, code blocks, LaTeX delimiters). For Hebrew and Koine Greek, this is D0 by construction — canonical verse boundaries are fixed for centuries.

What was kept from the original design: The CandidateGeometricPressure envelope, content addressing via pressure_id and semantic_key, the three-gate compiler, the DeterminismClass taxonomy, ReviewLevel governance embedded as a type invariant, and the SegmentManifold reconstruction index.

See ADR-0012.

3. `sensorium/` — The Multimodal Protocol Layer

Source: The core_sensorium package in AssetOverflow/core-ai was reviewed directly. Its protocol.py described the ProjectionHead as the "Logos-recovery boundary" — confirming the architectural intuition that all modality inputs ultimately reduce to the Logos native to the system.

Key claim: All inputs boil down to the Logos. A visual scene, a Hebrew word, an audio waveform are all the same thing inside the field: a point on the conformal manifold. There is no multimodal fusion problem because there is nothing to fuse. One space.

Translation from core-ai to core:

Cl(3,0) (2, 2) complex multivector → Cl(4,1) (32,) f32 array
core_logos.grammar_seed dependency → vocab/ versor attractors (no cross-subsystem import)
Protocol shape (ModalityPack, ProjectionHead, SurfaceDecoder, ModalityVocabulary) preserved

Placement in pipeline: sensorium/ sits upstream of core_ingest/. ingest/gate.py is unchanged. Adding a modality requires one adapter file and a registry entry — no existing layer is touched.

See ADR-0013.

4. Build Queue

Ordered by dependency and architectural risk:

core_ingest/ — upstream of everything; build now while the system is small. StructuralSegmenter, CandidateGeometricPressure, three-gate IngestCompiler, ReviewLevel, SegmentManifold.
sensorium/ — protocol.py, registry.py, adapters/text.py (text adapter only, wiring existing vocab manifold into ModalityPack[str]). Vision/audio adapters deferred until bootstrap corpora exist.
train/ — the largest remaining build item. Requires core_ingest/ to be complete and producing LearningArtifact objects. Rotor update law, vocab expansion protocol, and Supervised Seeding Epoch (Hebrew + Koine Greek D0 corpus).
Tests for all three — tests/test_core_ingest.py, tests/test_sensorium_mount.py, tests/test_train_artifact_path.py.

5. Documentation Audit

Full audit of docs/ performed:

docs/Whitepaper.md — already fully updated from a prior session. Sections VII–IX (pipeline, ingest governance, sensorium) are current. No changes needed.
docs/Yellowpaper.md — already fully updated. Sections VI–VII (sensorium spec, core_ingest spec) are current. No changes needed.
docs/decisions/README.md — ADRs 0012–0014 and SESSION-2026-05-13 were already listed in the index (scaffolded in a prior session). The actual files did not yet exist. Created in this session.
ADR-0002 — marked as Archived / superseded by ADR-0012 in the README index.

Decisions Made This Session

Decision	ADR
LLM extraction rejected; `StructuralSegmenter` (D0) adopted for `core_ingest/`	ADR-0012
`sensorium/` multimodal protocol layer adopted; Logos-recovery boundary named	ADR-0013
`train/` learning loop architectural constraints recorded as a stub	ADR-0014
Build queue order established: `core_ingest/` → `sensorium/` → `train/`	Session log only

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