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docs(discovery-map): §0 the endgame — DeepNSM + AriGraph (think) -> AST named facts (do)
Operator named the teleology the whole substrate serves: "endgame is actually getting DeepNSM + AriGraph as a meta vs episodic basins and supporters, meaning vectors, and then later extraction of AST-shaped named facts — do vs think." New §0 (the map's apex — the WHY above the doctrine spine): THINK — the DeepNSM + AriGraph memory (the world model): AriGraph (arXiv 2407.04363, Anokhin et al. 2024 — semantic + episodic KG world-model with associative retrieval for LLM-agent planning), mapped onto the substrate: - semantic memory -> META = MetaWord (the §4.1 layer) - episodic memory -> EPISODIC = delta frames = DatasetVersion(v)->(v+1) + cycle stamp (D-DELTA) - associative retrieval -> basins (palette256/CAM centroids + Semantik volumetric centroids + Morton- prefix subtrees; intra-basin locality) + supporters (neighbor-XOR retrieval, D-NEIGH) - meaning vectors -> DeepNSM 4096-dim (63 primes) -> CAM-PQ 6x256 (D-NSM, D-CAM) — shipping in lance-graph nsm/ DO — the extracted AST-shaped named facts (the actions): the OGAR IR (Class/ActionDef/Association, D-VOCAB) extracted from the meaning-vector memory by D-PATTERN + D-ACTION. The named fact is the wire (ADR-023) where THINK (vectors) becomes DO (action). The master axis DO vs THINK: THINK = the meaning-vector memory (what is known) = structural arm = Semantik. DO = ActionDef / Rubicon lifecycle / Kanban 6-phase (what is done) = behavioral arm = Pragmatik. The AST-named-fact extraction is the membrane between them. Reprioritization recorded: D-NSM, D-PATTERN, D-ACTION (listed IDEA/ queued in §2.8) are NOT optional extras — they are the endgame-critical path (the think->do extraction). The addressing/codec/storage floors are the foundation they stand on, not the destination. AriGraph + DeepNSM added to §7 cross-references with the arXiv id and the think/do <-> structural/behavioral <-> Semantik/Pragmatik mapping. Docs-only. PII abort-guard (word-boundary): CLEAN. cargo check: clean. https://claude.ai/code/session_01PBTGaPCSnnt6u3pjXpbLwY
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## 0. The endgame — what the whole substrate is *for*
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> **Operator, 2026‑06‑08:** *"endgame is actually getting DeepNSM + AriGraph
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> as a meta vs episodic basins and supporters, meaning vectors, and then
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> later extraction of AST‑shaped named facts — **do vs think**."*
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Everything in §1 (the doctrine) and §2 (the discoveries) is the **foundation
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for a cognitive memory architecture.** The teleology, named — and it
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reprioritizes the queue.
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**THINK — the DeepNSM + AriGraph memory** (the substrate's *world model*):
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| AriGraph (arXiv 2407.04363, Anokhin et al. 2024 — semantic + episodic KG world‑model with associative retrieval, for LLM‑agent planning) | Substrate realization | Grade |
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|---|---|---|
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| **semantic memory** (the world model) | **META = `MetaWord`** (the §4.1 layer — structural awareness) | mapping H |
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| **episodic memory** (event sequence) | **EPISODIC = delta frames** = `DatasetVersion(v)→(v+1)` + per‑row `cycle` stamp (D‑DELTA) | H |
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| **associative retrieval of interconnected concepts** | **basins + supporters**: basins = palette256/CAM centroids + Semantik volumetric centroids + Morton‑prefix subtrees (D‑PAL256, D‑CAM, D‑AMORT‑AXES; the intra‑basin locality probe); supporters = the neighbor‑XOR retrieval (D‑NEIGH) | H |
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| **the encoded concepts** | **meaning vectors** = DeepNSM 4096‑dim (63 primes) → CAM‑PQ 6×256 (D‑NSM, D‑CAM) — *shipping* in lance‑graph `nsm/` | G (DeepNSM), G (AriGraph public) |
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**DO — the extracted AST‑shaped named facts** (the substrate's *actions*):
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*"later extraction of AST‑shaped named facts"* = the OGAR IR (`Class` /
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`ActionDef` / `Association` — D‑VOCAB), **extracted from the meaning‑vector
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memory** by the recognition + lifecycle pipeline (D‑PATTERN, D‑ACTION). The
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named fact is the wire (ADR‑023): the point where THINK (vectors) becomes
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DO (action).
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**The master axis — DO vs THINK:**
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| | THINK | DO |
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|---|---|---|
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| substrate | DeepNSM + AriGraph meaning‑vector memory (meta / episodic / basins / supporters) | `ActionDef` / Rubicon lifecycle / Kanban 6‑phase |
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| OGAR IR arm | structural (`Class`/`Association`) | behavioral (`ActionDef`/`ActionInvocation`) |
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| trichotomy | **Semantik** (what is known) | **Pragmatik** (what is done) |
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| membrane || **AST‑named‑fact extraction is the membrane between them** |
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**What this reprioritizes.** `D‑NSM`, `D‑PATTERN`, `D‑ACTION` (listed
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`IDEA`/queued in §2.8) are **not optional extras — they are the
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endgame‑critical path** (the *think → do* extraction). The
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addressing / codec / storage floors (§2.1–§2.6, §1) are the **foundation
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they stand on**, not the destination. The destination is: *the substrate
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thinks in meaning‑vector basins and acts via extracted AST‑named‑facts.*
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---
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## 1. The doctrine spine — the load‑bearing floors
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The ADR canon is the spine; every discovery in §2 hangs off the floor it
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- `docs/THE-FIREWALL.md`, `HEALTHCARE-TRANSCODING.md` — ADR‑022 + PII floor.
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- lance‑graph PR #470/#473/#474/#475/#476/#477/#478, bardioc #17/#18/#19
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the runtime‑side receipts (`[per runtime session]` sources).
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- **The endgame references (§0):** AriGraph — *Learning Knowledge Graph
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World Models with Episodic Memory for LLM Agents*, Anokhin, Semenov,
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Sorokin, Evseev, Burtsev, Burnaev, arXiv **2407.04363** (2024). DeepNSM
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— lance‑graph `crates/lance-graph/src/nsm/` (`MAX_VOCAB=4096`,
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`NUM_PRIMES=63`, `NUM_ROLES=6`, CAM 6×256; PR #477). The `think`/`do`
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axis ↔ OGAR structural/behavioral IR arms (`ogar-vocab`) + the
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Semantik/Pragmatik trichotomy (`CHESS-TRANSCODING.md §0`).

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