- solver_benchmark.rs: Store benchmark results in RVF for analysis
- Updated solver_witness.rs with refinements
- Updated examples/rvf/Cargo.toml with 3 new [[example]] entries
- Updated examples/rvf/src/lib.rs with new example documentation
- Refined AGI sublinear optimization review
https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR
- All 10 ADR-STS documents updated from Proposed to Accepted
- Added implementation status sections reflecting delivered solver crate
- Updated SOTA research analysis to v3.0 with implementation realization
- Updated optimization guide to v2.0 with realized optimizations
- Updated executive summary, performance, algorithm, and testing docs
- Added solver_witness.rs RVF example
https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR
Add 15 architecture and design documents covering the sublinear-time solver
integration into RuVector's 79-crate ecosystem:
ADR Documents (12):
- ADR-STS-001: Core integration architecture with trait hierarchy and event sourcing
- ADR-STS-002: Algorithm selection and sublinear routing with SONA adaptive learning
- ADR-STS-003: Memory management strategy with arena allocator and HNSW integration
- ADR-STS-004: WASM and cross-platform compilation with SIMD per architecture
- ADR-STS-005: Security model with STRIDE/DREAD analysis and witness chain audit
- ADR-STS-006: Benchmark framework with 6 Criterion.rs suites and CI regression
- ADR-STS-007: Feature flag and progressive rollout strategy
- ADR-STS-008: Error handling and fault tolerance with fallback chains
- ADR-STS-009: Concurrency model with Rayon+SIMD two-level parallelism
- ADR-STS-010: API surface design for Rust/WASM/NAPI/REST/MCP
- SOTA research analysis surveying 20+ papers and competitive landscape
- Optimization guide with SIMD/memory/algorithm/platform strategies
DDD Documents (3):
- Strategic design: 6 bounded contexts, context map, ubiquitous language
- Tactical design: aggregates, entities, value objects, domain services
- Integration patterns: ACLs, shared kernel, published language, event-driven
https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR
Maps 7 concrete integration points between rvDNA genomics suite and
sublinear-time-solver: protein contact graph PageRank (500x speedup),
sparse attention solve in RVDNA format, joint variant calling with LD
(+15-30% sensitivity), sublinear Horvath clock regression, HNSW graph
optimization for pangenome k-mer search, network-based cancer detection
(3-5x sensitivity), and DNA storage/computation convergence.
Includes phased integration roadmap and scale impact analysis.
https://claude.ai/code/session_01WY4MpWoe2LMzkYUHLxhPHX
10 breakthrough vectors mapping concrete code paths to 50-year-ahead SOTA:
sub-constant time via predictive precomputation, self-discovering algorithms,
photonic-native vector ops, self-booting mathematical universes, neuromorphic
sublinear computing, hyperbolic sublinear geometry, cryptographic proof of
computation, temporal-causal vector spaces, infinite-scale sublinear consensus,
and the convergence of database + intelligence into a single substrate.
5-horizon roadmap from integration (2026) through convergence (2076).
https://claude.ai/code/session_01WY4MpWoe2LMzkYUHLxhPHX
Complete mathematical analysis of all 7 sublinear algorithms mapped to
ruvector's 9 subsystems. Top findings: Forward Push for hybrid graph
search (O(1/eps) vs O(k*d^L)), Conjugate Gradient for PDE attention
(quadratic to near-linear), Neumann Series for spectral filtering.
This completes the 15-agent analysis swarm - all documents present:
00-executive-summary, 01-14 covering crates, npm, rvf, examples,
architecture, wasm, mcp, performance, security, algorithms, typescript,
testing, dependencies, and roadmap.
https://claude.ai/code/session_01WY4MpWoe2LMzkYUHLxhPHX
Integration test design, property-based testing for solver correctness,
WASM test strategies, performance regression testing, and CI/CD pipeline
integration recommendations.
https://claude.ai/code/session_01WY4MpWoe2LMzkYUHLxhPHX
Full dependency tree comparison between ruvector (79 workspace members)
and sublinear-time-solver (9 crates), version conflicts, feature flag
compatibility, and bundle size impact.
https://claude.ai/code/session_01WY4MpWoe2LMzkYUHLxhPHX
Initial batch of research documents from 15-agent analysis swarm analyzing
integration between ruvector and sublinear-time-solver. Covers NPM packages,
RVF format, architecture, and TypeScript type compatibility.
More documents pending from running agents (crates, WASM, MCP, performance,
security, algorithms, testing, dependencies, roadmap, executive summary).
https://claude.ai/code/session_01WY4MpWoe2LMzkYUHLxhPHX
Plans the integration path for .rvf acceptance test verification into
the npm ecosystem:
- npx ruvector rvf verify-witness <file.rvf> (N-API + WASM fallback)
- npx rvlite verify-witness <file.rvf> (WASM via cli-rvf.ts)
- rvlite SDK verifyWitnessChain() for browser-side verification
- MCP tool rvf_verify_witness for Claude Code agents
- 5-phase implementation plan, each independently shippable
Bridges the rvf_witness_verify WASM export (ADR-037) to end users
without requiring the Rust toolchain.
https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
- Resolve open questions: repo automation as first domain, four-level
AuthorityLevel enum, per-task ResourceBudget with hard caps,
CoherenceThresholds with validation
- Add AGI_MAX_CONTAINER_SIZE (16 GiB) with enforcement in validation
- Tighten ContainerSegments::validate: Verify/Live modes now require
world model data (VEC or INDEX segments), not just kernel/WASM
- Add ContainerError variants: InsufficientAuthority, BudgetExhausted
- Add to_flags support for orchestrator_present and world_model_present
- Add wire format section and cross-references to ADRs 029-033 in doc
- Add 2 new TLV tags: AUTHORITY_CONFIG (0x0110), DOMAIN_PROFILE (0x0111)
- Re-export new types from lib.rs
- Update rvf-runtime tests for tightened validation
- All 222 rvf-types + all rvf-runtime tests pass
https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
Defines the full system boundary for portable intelligence:
- RuVector as existential substrate (world model, coherence signals)
- RVF as cognitive container format (packaging, witness chains, replay)
- Claude Code as control plane orchestrator (planning, tool use)
- Claude Flow as swarm coordinator (routing, shared memory, learning)
Key mechanisms:
- Structural health gates (min-cut coherence, contradiction pressure)
- Skill promotion with counterexample requirements
- Two execution modes: Replay (bit-identical) and Verify (same grades)
- 10 node types, 9 edge types, 4 invariants for the world model schema
- MCP tools: ruvector_query, ruvector_cypher, rvf_snapshot, eval_run
Acceptance test: same RVF artifact, two machines, 100 tasks,
95+ passing in verify mode, zero policy violations.
https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
Complete the QR Cognitive Seed pipeline with zero external dependencies:
- Pure SHA-256 (FIPS 180-4) verified against NIST test vectors
- HMAC-SHA256 (RFC 2104) verified against RFC 4231 test cases
- LZ77 compression (SCF-1 format) with 4KB sliding window
- Seed crypto: content hashing, signing, layer verification
- C FFI (5 extern "C" functions) for App Clip / mobile integration
- SeedBuilder.build_and_sign() with automatic hashing and signing
- ParsedSeed.verify_all() with full integrity and signature checks
- ParsedSeed.decompress_microkernel() using built-in LZ
- 11 end-to-end integration tests with real cryptography
- Updated ADR-034 with App Clip, PWA, Android delivery paths
- Example updated with full real-crypto round-trip demo
Total: 381 tests passing (183 types + 154 runtime + 11 e2e + 33 manifest)
https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
Three fixes to ADR-033:
1. ResultQuality split into RetrievalQuality (per-candidate) and
ResponseQuality (per-response at API boundary). ResponseQuality
survives serialization across JSON/gRPC/MCP. DegradationReason
provides structured, inspectable evidence for why quality dropped.
2. Brute-force safety net dual-budgeted: max 5ms wall-clock AND max
50K candidates, whichever hits first. Both configurable via
QueryOptions. Budget=0 disables fallback entirely. Prevents O(N)
DoS from adversarial queries on large hot caches.
3. Mandatory acceptance test: malicious tail manifest with valid CRC
but redirected hotset pointers must fail deterministically under
Strict policy with a logged, stable error code. Separate test for
re-signed forgery (wrong signer vs no signature distinction).
https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
Addresses four structural weaknesses in the progressive indexing system:
1. Content-addressed centroid stability — hotset pointers verified by
SHAKE-256 content hashes, not just byte offsets. Compaction becomes
physically destructive but logically stable.
2. Adversarial distribution resilience — distance entropy detection
with adaptive n_probe widening. Silent recall collapse replaced by
detected degradation with ResultQuality signaling.
3. Honest recall framing — empirical targets scoped to distribution
classes (natural/synthetic/adversarial). Monotonic recall improvement
property proven from append-only invariant. Brute-force safety net
when candidate count is insufficient.
4. Mandatory manifest signatures — SecurityPolicy defaults to Strict.
No signature = no mount in production. Prevents segment-swap attacks
on hotset pointers. CRC32C catches corruption; ML-DSA-65 catches
adversaries.
https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
Add the WASM_SEG segment type and complete self-bootstrapping
architecture that allows RVF files to carry their own execution
runtime. When an RVF file embeds a WASM interpreter alongside the
microkernel, the host only needs raw execution capability — making
RVF "run anywhere compute exists."
Changes:
- rvf-types: Add SegmentType::Wasm (0x10), WasmHeader (64-byte),
WasmRole, WasmTarget enums, and feature flag constants
- rvf-runtime: Add embed_wasm(), extract_wasm(), extract_wasm_all(),
is_self_bootstrapping() methods on RvfStore, plus write_wasm_seg()
in the write path
- rvf-wasm: Add bootstrap module with resolve_bootstrap_chain() that
discovers WASM_SEGs, parses headers, and resolves the optimal
bootstrap strategy (None/HostRequired/SelfContained/TwoStage/Full)
- docs: Add spec/11-wasm-bootstrap.md with complete wire format,
bootstrap protocol, size budget analysis, and security model
The three-layer bootstrap stack:
Layer 0: Raw bytes (.rvf file)
Layer 1: Embedded WASM interpreter (~50 KB)
Layer 2: WASM microkernel (~5.5 KB)
Layer 3: RVF data segments
All 131 rvf-types tests and 72 rvf-runtime tests pass.
https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
Complete proof of Deutsch's theorem with phase kickback lemma and
step-by-step derivation. Compares five major formulations:
- Deutsch (1985): original probabilistic version (p=1/2)
- Deutsch-Jozsa (1992): deterministic n-bit, 2 queries
- Cleve-Ekert-Macchiavello-Mosca (1998): deterministic, single query
- Nielsen-Chuang (2000): canonical textbook presentation
- Calude (2006): de-quantization using higher-dimensional classical bits
Includes de-quantization critique (Abbott et al.), classical wave
analogies, and analysis of when quantum advantage is genuine vs
artifactual.
Adds 6 verification tests to ruqu-algorithms confirming all four
oracles produce deterministic correct results via the ruqu-core
simulator, including a phase-kickback amplitude-level check.
https://claude.ai/code/session_01B1NkbLDWYPaacS9miKsnvW
Research bitnet.cpp Rust port strategy: R3-Engine proves 100% Safe Rust
with dual-target (native AVX-512 + WASM SIMD128) achieving 80-117 tok/s.
Recommend Approach C (reference R3-Engine patterns) over Python codegen.
WASM SIMD128 maps TL1 LUT to v128.swizzle for ~20-40 tok/s in browser.
Resolves open question #5 (WASM viability). Adds 6 new references,
5 new DDD terms, 3 new open questions. DDD updated to v2.4.
https://claude.ai/code/session_011nTcGcn49b8YKJRVoh4TaK
