mirror of
https://github.com/proffesor-for-testing/agentic-qe.git
synced 2026-09-19 08:45:47 +08:00
Dragan Spiridonov
6b249c034f
Implements 23 tasks across 4 phases per docs/implementation/ruvector-integration-plan.md: Phase 1 — Foundation (make what we have faster): - Native HNSW backend via @ruvector/router (150x search speedup, ADR-081) - Metadata filtering layer with composable AND/OR/NOT/FIELD expressions - Temporal tensor compression (Int8Array quantization, 4x memory reduction) - Deterministic golden-ratio dithering for cross-platform reproducibility - 15 feature flags (all default false) with CLI profiles Phase 2 — Intelligence (make agents smarter): - Neural TinyDancer router with REINFORCE policy gradient (ADR-082) - SONA three-loop enhancement (MicroLoRA 0.18μs/adapt via WASM) - Cross-domain transfer learning with Thompson Sampling (ADR-084) - Regret tracking with log-log regression growth classification Phase 3 — Safety (make agents trustworthy): - Sheaf-gated test validation via prime-radiant CohomologyEngine - Coherence-gated agent actions (3-filter pipeline, ADR-083) - Witness chain audit trail with SHA-256 hash linking - HNSW health monitoring with spectral analysis Phase 4 — Differentiation (make AQE unique): - Cognitive container export/import (RVF v2) - DAG attention scheduler for dependency-aware test ordering - CNN visual regression with spatial pooling embeddings - Behavior tree orchestration (Sequence/Selector/Parallel) - Reasoning QEC with majority-vote consensus - Browser QE dashboard scaffolding Also: remove obsolete v2-to-v3-migration test (source already removed), add ADR-081 through ADR-085, research docs, benchmarks, and integration test suites for all 4 phases. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
58 lines
3.0 KiB
Markdown
58 lines
3.0 KiB
Markdown
# RuVector Advanced Systems Crates Research
|
|
|
|
## Crates Covered
|
|
1. ruvector-coherence - Spectral coherence metrics, HNSW health monitoring
|
|
2. ruvector-cognitive-container - Verifiable WASM computation with witness chain
|
|
3. ruvector-verified - Proof-carrying vector operations (<2% overhead)
|
|
4. ruvector-verified-wasm - Browser-side formal verification
|
|
5. ruvector-temporal-tensor - 4-10x tensor compression with access-pattern tiering
|
|
6. thermorust - Thermodynamic neural motifs with Landauer dissipation tracking
|
|
7. ruvector-dither - Deterministic low-discrepancy dithering (golden ratio + pi digits)
|
|
8. ruvector-crv - 6-stage signal processing pipeline (hyperbolic + SNN + min-cut)
|
|
|
|
## Key Findings
|
|
|
|
### ruvector-coherence
|
|
- Spectral graph health: Fiedler value, spectral gap, effective resistance
|
|
- HnswHealthMonitor: alerts for FragileIndex, PoorExpansion, HighResistance, LowCoherence
|
|
- Incremental spectral tracking via first-order perturbation theory
|
|
- Zero external math dependencies
|
|
|
|
### ruvector-verified
|
|
- Sub-microsecond proofs: ~496ns dimension equality, ~11ns/vector batch
|
|
- 3-tier gated routing: Reflex (<10ns), Standard (<1us), Deep (<100us)
|
|
- 82-byte attestation receipts with proof_term_hash, environment_hash
|
|
- FastTermArena: 1.6ns cache hits with O(1) bump allocation
|
|
- 10 verified domains including medical diagnostics and financial routing
|
|
|
|
### ruvector-temporal-tensor
|
|
- Groupwise symmetric quantization with temporal segment reuse
|
|
- Access-pattern tiering: Hot (8-bit, 4x), Warm (5-7 bit, 4.6-6.4x), Cold (3-bit, 10.7x)
|
|
- Zero runtime dependencies, fully WASM-compatible
|
|
- Specialized pack/unpack for 3/5/7/8-bit (8 values at a time)
|
|
|
|
### ruvector-cognitive-container
|
|
- 5 budgeted phases: ingest, min-cut, spectral, evidence, witness
|
|
- Hash-linked witness receipts (ContainerWitnessReceipt)
|
|
- SPRT evidence accumulation for Pass/Fail/Inconclusive decisions
|
|
- Budget-constrained execution: skip phases if budget exhausted
|
|
|
|
### thermorust
|
|
- Ising + soft-spin Hamiltonians with Metropolis-Hastings dynamics
|
|
- Landauer dissipation accounting (2.87e-21 J per irreversible transition)
|
|
- Hopfield associative memory with energy-aware recall
|
|
- Simulated annealing (discrete + continuous)
|
|
|
|
### ruvector-dither
|
|
- Golden-ratio quasi-random (best 1-D equidistribution, never repeats)
|
|
- Pi-digit table (256-byte cyclic lookup, exact reproducibility)
|
|
- no_std, zero dependencies, fully deterministic
|
|
|
|
## AQE Integration Opportunities
|
|
1. **HNSW health monitoring**: Continuous spectral analysis of AQE's memory index
|
|
2. **Verified operations**: Catch dimension mismatches at proof time, not silently
|
|
3. **Temporal compression**: 4-10x memory reduction for 150K+ patterns by access frequency
|
|
4. **Cognitive containers**: Auditable computation with witness receipts for every agent decision
|
|
5. **Dithering**: Reproducible cross-platform embedding compression (WASM = x86 = ARM)
|
|
6. **Thermodynamic energy budgets**: Novel resource accounting for agent compute allocation
|