docs(knowledge): GraphRAG representations inventory — 7 papers × V3 substrate matrix#723
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…ubstrate matrix Synthesis of 7 attached GraphRAG arxiv texts (AriGraph, PersonalAI, Document-GraphRAG/MDPI, SAP-Practical, StepChain, GraphRAG-FI, GraphRAG-under-Fire) mapped onto the V3 substrate: the facet ladder L1-L8, the 13(+1) value tenants, and a per-representation matrix (format / witness-ref / witness / context / basins / vertical-horizontal-vs-edges / time / NARS / causality-trajectory-candidate / wire). Key findings: - The arigraph crate is "AriGraph in name, RAG in retrieval" — the first-class episodic edge + chained semantic->episodic search (their Eq.1) are missing; today it runs a parallel Hamming top-k (the RAG baseline). - The retrieval keystone (RRF fusion) is one free fn short; every ranked leg exists but nothing fuses them. - Provenance->trust is unwired (source_url never reaches TruthValue.confidence). - GraphRAG-FI + PersonalAI independently re-derive the MUL/free-energy and preserve-contradictions stances (validation, not novelty). - "All tenants in every SoA" = PROBE preset-vs-dispatch -> ValueSchema::Full + the ocr.rs write-path-as-function-of-live-tenants dispatch. Board hygiene: EPIPHANIES E-GRAPHRAG-REPRESENTATIONS-INVENTORY-1 + AGENT_LOG. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016b33swuXE23hKtqxsHu9p1
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📝 WalkthroughWalkthroughAdds documentation for a GraphRAG representations inventory, mapping seven papers and identified gaps onto the V3 SoA, facets, value tenants, trajectory criteria, and retrieval priorities. ChangesGraphRAG inventory documentation
Estimated code review effort: 2 (Simple) | ~10 minutes Possibly related PRs
Suggested reviewers: Poem
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Actionable comments posted: 4
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.claude/board/AGENT_LOG.md:
- Around line 1-7: Update the 2026-07-18 entry in AGENT_LOG.md to add explicit
Commit, Tests, and Outcome fields. Record the exact commit identifier, list the
checks performed for this documentation-only change, and summarize the resulting
outcome without altering the existing inventory content.
- Around line 3-4: Align the corpus wording across both inventory references:
update the task description in .claude/board/AGENT_LOG.md at lines 3-4 and the
inventory heading in .claude/knowledge/graphrag-representations-inventory.md at
line 34 to consistently state “7 papers (6 arXiv + MDPI),” replacing the
inaccurate seven-arXiv wording.
In @.claude/knowledge/graphrag-representations-inventory.md:
- Line 39: Update the PersonalAI row in the representations inventory so
`EpisodicBasins` is labeled as a derived/partial co-occurrence partition rather
than the episodic hyper-edge. Mark the first-class episodic hyper-edge as
MISSING, matching the `EpisodicEdges64` status; apply the same correction to the
100-100 entry.
- Line 108: Update the RRF fusion row in the representations inventory matrix to
include the missing wire-column cell before the “free fn in retrieval.rs” entry,
preserving the existing values and column alignment.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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Configuration used: Organization UI
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📒 Files selected for processing (3)
.claude/board/AGENT_LOG.md.claude/board/EPIPHANIES.md.claude/knowledge/graphrag-representations-inventory.md
| ## 2026-07-18 — GraphRAG representations inventory — 7 papers × V3 substrate matrix (6 Opus paper-readers + 1 Opus v3-harvest; main-thread synthesis) | ||
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| - **Task:** operator asked for an inventory of 7 attached GraphRAG arxiv texts + MDPI, formulate 8 representations plus the v3 "should-have-built" set, and answer a matrix per representation (format / witness-ref / witness / context / basins / vertical-horizontal-vs-edges / time / NARS / causality-trajectory-candidate / wire) + "which probe considered all tenants in every SoA." | ||
| - **Fleet:** 6 background Opus readers (SAP-Practical, AriGraph fidelity-audit, PersonalAI, GraphRAG-under-Fire, GraphRAG-FI, StepChain) + MDPI WebFetch + 1 Opus v3-harvest (facet ladder L1-L8, 13-tenant catalogue, ValueSchema, should-have-built backlog). Main thread synthesized. | ||
| - **Deliverable:** `.claude/knowledge/graphrag-representations-inventory.md` — the 7-paper inventory, the facet ladder, the 13(+1) tenants, THE MATRIX (16 representations), the causality-trajectory subset, the all-tenants-in-one-SoA verdict, priority wire order. | ||
| - **Probe answer:** "all tenants in every SoA" = `PROBE preset-vs-dispatch` (EPIPHANIES:1184) → `ValueSchema::Full` ("every tenant", compile-proven `canonical_node.rs:1127`) + the `ocr.rs:104-115` write-path-as-function-of-live-tenants dispatch. | ||
| - **Headline gaps (paper-surfaced, unbuilt):** RRF fusion (keystone), provenance→trust wire, chained episodic_search (Eq.1 — the crate is "AriGraph in name, RAG in retrieval"), evidence-chain `Πsᵤ`, thesis partition, sub-question decomposition, BeamSearch. GraphRAG-FI + PersonalAI independently re-derive the MUL/free-energy + preserve-contradictions stances. Branch `claude/happy-hamilton-0azlw4` (restarted from clean post-#722 main). |
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📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win
Include the required board-hygiene metadata.
This entry has no explicit Commit, Tests, or Outcome fields. Add those fields, including the exact commit identifier and the checks performed for this docs-only change.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In @.claude/board/AGENT_LOG.md around lines 1 - 7, Update the 2026-07-18 entry
in AGENT_LOG.md to add explicit Commit, Tests, and Outcome fields. Record the
exact commit identifier, list the checks performed for this documentation-only
change, and summarize the resulting outcome without altering the existing
inventory content.
Source: Coding guidelines
| - **Task:** operator asked for an inventory of 7 attached GraphRAG arxiv texts + MDPI, formulate 8 representations plus the v3 "should-have-built" set, and answer a matrix per representation (format / witness-ref / witness / context / basins / vertical-horizontal-vs-edges / time / NARS / causality-trajectory-candidate / wire) + "which probe considered all tenants in every SoA." | ||
| - **Fleet:** 6 background Opus readers (SAP-Practical, AriGraph fidelity-audit, PersonalAI, GraphRAG-under-Fire, GraphRAG-FI, StepChain) + MDPI WebFetch + 1 Opus v3-harvest (facet ladder L1-L8, 13-tenant catalogue, ValueSchema, should-have-built backlog). Main thread synthesized. |
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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
Align the corpus count across the inventory documents.
The supplied fleet and paper table describe six arXiv papers plus one MDPI source, so both references should use the same “7 papers (6 arXiv + MDPI)” wording.
.claude/board/AGENT_LOG.md#L3-L4: replace “7 attached GraphRAG arxiv texts + MDPI” with the six-arXiv-plus-MDPI description..claude/knowledge/graphrag-representations-inventory.md#L34-L34: replace “Inventory of the 7 arxiv texts” with the same corrected wording.
📍 Affects 2 files
.claude/board/AGENT_LOG.md#L3-L4(this comment).claude/knowledge/graphrag-representations-inventory.md#L34-L34
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In @.claude/board/AGENT_LOG.md around lines 3 - 4, Align the corpus wording
across both inventory references: update the task description in
.claude/board/AGENT_LOG.md at lines 3-4 and the inventory heading in
.claude/knowledge/graphrag-representations-inventory.md at line 34 to
consistently state “7 papers (6 arXiv + MDPI),” replacing the inaccurate
seven-arXiv wording.
| | Paper | Native representation | Format | Witness reference | In workspace? | | ||
| |---|---|---|---|---| | ||
| | **AriGraph** 2407.04363 | semantic SPO + **episodic edge** (episode → all its triplets) | triplet + episodic incidence | episode vertex `vₑᵗ=oᵗ` | SPO ✓ · episodic edge **MISSING** (string copy) | | ||
| | **PersonalAI** 2506.17001 | object SPO + **thesis** hyper-edge (semantic) + **episodic** hyper-edge (temporal) | 3 vertex types + 2 hyper-edges | passage node `vᵢₑ=dᵢ` | object ✓ · thesis **MISSING** · episodic=basins()✓ · temporal=Lance versions | |
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🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win
Do not equate EpisodicBasins with the episodic hyper-edge.
EpisodicBasins is documented as a co-occurrence partition over entities, while PersonalAI’s episodic hyper-edge preserves episode-to-triplet membership. Mark the basin partition as derived/partial and keep the first-class episodic edge as missing, consistent with the matrix’s EpisodicEdges64 status.
Also applies to: 100-100
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In @.claude/knowledge/graphrag-representations-inventory.md at line 39, Update
the PersonalAI row in the representations inventory so `EpisodicBasins` is
labeled as a derived/partial co-occurrence partition rather than the episodic
hyper-edge. Mark the first-class episodic hyper-edge as MISSING, matching the
`EpisodicEdges64` status; apply the same correction to the 100-100 entry.
…y fixes - Corpus wording: "7 arxiv texts" -> "7 papers (6 arXiv + MDPI)" (AGENT_LOG + inventory heading). - AGENT_LOG entry: add explicit Commit/Tests/Outcome board-hygiene fields. - PersonalAI row + Episodic-witness matrix row: stop equating basins() (a derived co-occurrence partition) with the first-class episodic hyper-edge; mark the hyper-edge MISSING/unwired, consistent with the AriGraph audit. - RRF fusion matrix row: restore the missing 11th cell (MD056 alignment). No content beyond the flagged inconsistencies changed. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016b33swuXE23hKtqxsHu9p1
Reciprocal Rank Fusion (Cormack, Clarke & Büttcher 2009): fuse N ranked lists into one ranking by Σ 1/(k+rank), k=60. Named as the D-GR-2 retrieval keystone in the representations inventory (#723) — every ranked leg exists (Bm25Index::rank, PersonalizedPageRank::ranked, CAM-PQ) but nothing fused them. - `arigraph/rrf.rs`: `reciprocal_rank_fusion(&[&[ScoredId]], k) -> Vec<ScoredId>` + `DEFAULT_RRF_K = 60`. Fuses by RANK, so the per-list scores need not be commensurable (the reason it combines BM25 f64 / PPR probability / CAM-PQ i8). Deterministic (BTreeMap id-asc + stable score-desc sort); shallowest depth wins; returns the contract `ScoredId`. - Re-exported from `arigraph/mod.rs`. Pure, reversible capability landed ahead of G0 (like Bm25Index / PersonalizedPageRank / Communities). The WIRING into OsintRetriever::retrieve stays gated on the G0 load-bearing verdict. Tests: 7 unit + 1 doctest green; clippy clean (`-p lance-graph --lib`). Board: STATUS_BOARD D-GR-2a + AGENT_LOG. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016b33swuXE23hKtqxsHu9p1
2 participants
What
Adds
.claude/knowledge/graphrag-representations-inventory.md— a synthesis of 7 attached GraphRAG arxiv texts mapped onto the V3 substrate, answering a per-representation matrix (format / witness-ref / witness / context / basins / vertical-horizontal-vs-edges / time-series / NARS / causality-trajectory-candidate / what-to-wire) plus the "which probe considered all tenants in every SoA" question.The 7 papers
AriGraph · PersonalAI (successor) · Document-GraphRAG (MDPI) · SAP Practical GraphRAG · StepChain · GraphRAG-FI · GraphRAG-under-Fire. Read by 6 background Opus readers + MDPI WebFetch; substrate rows source-verified against
canonical_node.rs/class_view.rs/facet.rs/ocr.rs.Key findings
arigraph/crate is "AriGraph in name, RAG in retrieval." The first-class episodic edge (Ee/ the unwiredEpisodicEdges64) and the chained semantic→episodic search (their Eq. 1) are missing; today it runs a parallel Hamming top-k — the baseline AriGraph beats.Bm25Index::rank,PersonalizedPageRank::ranked, CAM-PQ) exists; nothing fuses them.WitnessCorpus.source_urlnever reachesTruthValue.confidence(the only defense that works vs GRAGPOISON, and load-bearing for OCR mixed-trust docs regardless of adversary).PROBE preset-vs-dispatch→ValueSchema::Full("every tenant", compile-provencanonical_node.rs:1127) + theocr.rs:104-115schema.has(tenant){write lane}dispatch.Board hygiene (same commit)
EPIPHANIES.mdE-GRAPHRAG-REPRESENTATIONS-INVENTORY-1+AGENT_LOG.mdentry.Scope
Docs-only — one knowledge doc + two append-only board files. No code, no build surface. The wire deliverables it names (RRF, provenance→trust, episodic_search Eq.1, evidence-chain, thesis, decomposition, BeamSearch) are proposed follow-ups, gated on the graphrag plan's G0 verdict where applicable.
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https://claude.ai/code/session_016b33swuXE23hKtqxsHu9p1
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