Claude/review rustynum pr 80 2z ny5#161
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…causal queries CLAM tree path as B-tree key. One u16 encodes three query types: - Address: structural position in CLAM binary tree - Lineage: range scan = phylogeny (ancestor→descendant traversal) - Causality: range scan = causal chain (cause→effect traversal) ClamPath struct: - from_tree_traversal() — construct from bipolar split sequence - subtree_range() → (lo, hi) — B-tree range scan for descendants - common_ancestor_depth() — shared prefix length (XOR + leading zeros) - lineage_distance() — symmetric tree distance - siblings() — counterfactual query (flip last split) - parent() / left_child() / right_child() — tree navigation - is_ancestor_of() — prefix containment check - density_hint() — depth as LFD proxy for adaptive search CogRecord8K integration via ClamPathExt trait: - set_clam_path() / clam_path() on index container word[0] - to_word() / from_word() — u64 packing for WideContainer - to_bytes() / from_bytes() — 3-byte B-tree column encoding - btree_key() → u16 for LanceDB B-tree index 23 tests, all green. https://claude.ai/code/session_0152b2NJYnjCJjvMAmgsTx3p
ClamPath (24b) + MerkleRoot (40b) = word[0] of CogRecord8K. Self-healing Redis: same content = same hash = same key. Eineindeutigkeit: three query paths converge to one address.
ClamPath(24 bits) + MerkleRoot(40 bits) = 64 bits in CogRecord8K word[0].
ClamPath = HOW you got here (navigation/lineage).
MerkleRoot = WHAT lives here (content-addressed canonical identity).
MerkleRoot:
- from_planes(S, P, O) — blake3 Merkle tree over 3 × 16384-bit planes
- from_fingerprint() — backward compat for unseparated planes
- redis_key() → "ada:bind:{40-bit hex}" — self-healing canonical address
- Deterministic: same content = same hash = same key (Eineindeutigkeit)
ClamPath additions:
- to_u24() / from_u24() — 24-bit packed form for combined word[0]
- pack_with_merkle() / unpack_with_merkle() — combined 64-bit encoding
ClamPathExt updated:
- set_clam_path_merkle() / clam_path_merkle() — full combined read/write
- set_clam_path() / clam_path() — backward compat (MerkleRoot = ZERO)
- merkle_root() — read MerkleRoot only
Dependency: blake3 = "1"
32 tests, all green.
https://claude.ai/code/session_0152b2NJYnjCJjvMAmgsTx3p
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Replaces manual field-by-field conversion with compile-time guaranteed From/Into trait impls. If either type adds a field, the bridge fails at compile time instead of silently dropping it. The old nars_to_truth()/truth_to_nars() functions now delegate to the From impls for backward compatibility. https://claude.ai/code/session_0152b2NJYnjCJjvMAmgsTx3p
- Remove migrate_16k_extended() and to_16k_linked() — dead code since CONTAINER_WORDS=256 (single container holds full 16K fingerprint) - Remove no-op bitmask assignment in feedback.rs (equal operands to |) - Update test to use single-container roundtrip https://claude.ai/code/session_0152b2NJYnjCJjvMAmgsTx3p
Eliminates the duplicate Fingerprint struct in jina_cache.rs (R1 risk item). Now uses the canonical crate::core::Fingerprint everywhere. Jina-specific logic (from_jina_embedding, serialization) moved to standalone functions. spo.rs keeps its private Fingerprint (1,570-line isolated prototype, not on the production path — consolidation deferred until spo.rs is either deprecated or rewritten to use the harvest/trajectory pipeline). https://claude.ai/code/session_0152b2NJYnjCJjvMAmgsTx3p
Connects AccumulatedHarvest (Phase 2) to BundlingProposal lifecycle via GestaltEngine, closing the Phase 7 wiring gap (R4 risk item). GestaltEngine: - evaluate_harvest() auto-creates BundlingProposal when evidence crosses threshold (search count + confidence) - feed_evidence() feeds new harvest results into existing trajectories - check_auto_approvals() triggers CollapseGate::Flow in Research mode - gestalt_summary() counts trajectories by state CollapseMode governs the decision boundary: - Research: auto-approve >= 0.95 confidence - Production: propose >= 0.80, require human review - Regulated: propose at any confidence, always human 5 new tests covering threshold gating, proposal creation, auto-approval lifecycle, and evidence feeding. https://claude.ai/code/session_0152b2NJYnjCJjvMAmgsTx3p
Tactic #23 AMP (Adaptive Meta-Prompting): GestaltState -> inference_biases(), confidence_modifier(), chain_depth_delta() Crystallizing prefers Deduction, Contested prefers Analogy/Abduction, Dissolving prefers Abduction, Epiphany prefers Induction. Tactic #12 TCA (Temporal Context Augmentation): TruthTrajectory -> temporal_monotonicity(), temporal_acceleration(), has_temporal_precedence(). Granger-style analysis: evidence events followed by confidence rises = causal temporal precedence. Tactic #21 SSR (Self-Skeptical Reasoning): SkepticismLevel (Trust/Cautious/Skeptical/Doubting) derived from trajectory dynamics. High confidence from few events = Skeptical. damping_factor() multiplies NARS confidence before gating. 5 new tests across the three tactics. https://claude.ai/code/session_0152b2NJYnjCJjvMAmgsTx3p
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