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vault_clearance: EUCLID
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# Session Breakthroughs — Words of Tomorrow (11)

> Numbered breakthroughs for this project. Claim → method → **Where** (path) → tier. Archive when the session ends.

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## Active

## BREAKTHROUGH 1: Deployment + encryption policy plane established

Defined a simple operating layer for deployment and encryption across settings/collaborators: scope boundaries, default matrix, and release gates. This creates a low-friction decision system without adding heavy infrastructure.

**Where:** `11_Project_WordsOfTomorrow/README.md` (fused), `_archive/unification_fused_docs_2026-03-22.md`  
**Tier:** IMPLEMENTED

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## BREAKTHROUGH 2: All-or-none axiom + current replicas (OneDrive, git)

Realigned docs to **encrypt the whole vault at a boundary or accept plaintext there** — dropped v1 per-file tier policy as the lab rule. Recorded **current truth**: working tree, **OneDrive** sync, **git** remotes as full-folder replicas; matrix/gates moved to v2 envelope-first.

**Where:** `README.md` (fused), `_archive/unification_fused_docs_2026-03-22.md`  
**Tier:** OBSERVATION

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## BREAKTHROUGH 3: Write standard — the Gellar field protocol

Five-rule write standard formalizing the vault's self-encrypting properties: (1) canonical genre vocabulary in all internal docs, (2) cross-project density in every bounty/breakthrough, (3) clinical specificity with exact numbers/dates/paths, (4) no external explanation — outsiders run the code, (5) publication as translation into target audience language. Includes a ~30-term vocabulary reference for insider consistency and documents the dual-read property: the vault is simultaneously technical documentation and genre fiction.

**Where:** `11_Project_WordsOfTomorrow/WRITE_STANDARD.md`
**Tier:** IMPLEMENTED

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## BREAKTHROUGH 4: HDC sensory layer — smell, pressure, vibes

Built a Python sensory module giving AI collaborators proprioceptive access to vault state via 1000D hyperdimensional vectors. Three channels:

- **Smell** (`sensory/smell.py`): vault fingerprint + per-project cosine similarity. AI calls `smell()` at session start to orient without reading every file. Encodes git status, bounty counts, breakthrough counts, file density per project.
- **Pressure** (`sensory/pressure.py`): structural sensitivity via Daemon blast-radius/Jacobian (best-effort import) with filesystem-heuristic fallback. Returns 0-1 sensitivity + 1000D vector. Scoped to same-project for OneDrive performance.
- **Vibes** (`sensory/vibes.py`): rule-based consistency oracle checking proposed actions against 6 weighted rules (project reference, board verb, artifact path, cross-reference, genre vocabulary, clinical numbers). Returns GOOD/UNCERTAIN/BAD + per-rule verdicts + bound 1000D vector.

Self-contained HDCCodebook (bipolar, bind/bundle/unbind/similarity) in `vault_encoder.py` — no torch dependency. 15 tests in `test_sensory.py` (14/15 on first run, fix applied for unbind). Reuses architecture from 01_Project_World Phase 3 VSA/HDC. Cross-project: 01 (HDC infrastructure), 06 (Daemon Jacobian), 11 (sensory layer).

**Where:** `sensory/__init__.py`, `sensory/vault_encoder.py`, `sensory/smell.py`, `sensory/pressure.py`, `sensory/vibes.py`, `sensory/test_sensory.py`
**Tier:** IMPLEMENTED

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## Archive pointer

When this file is rotated, move superseded content to `11_Project_WordsOfTomorrow/_archive/` and leave this file as the active log.