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ruvector/examples/benchmarks/src
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Exact
Claude e2a3f1a6e4
feat(rvf): rvf-solver-wasm — self-learning AGI engine compiled to WASM 
Compiles the complete three-loop adaptive solver to wasm32-unknown-unknown
(160 KB, no_std + alloc). Preserves all AGI capabilities:

- Thompson Sampling two-signal model (safety Beta + cost EMA)
- 18 context buckets with per-arm bandit stats
- Speculative dual-path execution
- KnowledgeCompiler with signature-based pattern cache
- Three-loop architecture (fast/medium/slow)
- SHAKE-256 witness chain via rvf-crypto

12 WASM exports: create/destroy/train/acceptance/result/policy/witness.
Handle-based API supports 8 concurrent solver instances.

ADR-039 documents the integration architecture.
Benchmark binary validates WASM against native solver.

https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G
2026-02-16 00:43:12 +00:00
..
bin feat(rvf): rvf-solver-wasm — self-learning AGI engine compiled to WASM 2026-02-16 00:43:12 +00:00
acceptance_test.rs refine(ablation): flip sign, wire penalty, expand buckets 2026-02-15 23:19:43 +00:00
agi_contract.rs feat(agi-contract): multi-dimensional IQ with cost, robustness, and AGI contract 2026-02-15 20:43:31 +00:00
intelligence_metrics.rs feat(agi): three-class memory, loop gating, RVF artifacts, rollback witnesses 2026-02-15 21:09:01 +00:00
lib.rs feat(ablation): publishable RVF acceptance test with SHA-256 witness chain 2026-02-15 23:51:04 +00:00
logging.rs style: apply rustfmt across entire codebase 2026-01-28 17:00:26 +00:00
loop_gating.rs feat(agi): three-class memory, loop gating, RVF artifacts, rollback witnesses 2026-02-15 21:09:01 +00:00
publishable_rvf.rs feat(rvf): integrate publishable acceptance test with native SHAKE-256 witness chain 2026-02-16 00:13:44 +00:00
reasoning_bank.rs refine(ablation): risk_score policy, normalized penalty, witness log 2026-02-15 23:08:02 +00:00
rvf_artifact.rs feat(agi): three-class memory, loop gating, RVF artifacts, rollback witnesses 2026-02-15 21:09:01 +00:00
rvf_intelligence_bench.rs feat(benchmarks): 6-vertical intelligence benchmark with real divergence 2026-02-15 20:08:47 +00:00
superintelligence.rs feat(agi): three-class memory, loop gating, RVF artifacts, rollback witnesses 2026-02-15 21:09:01 +00:00
swarm_regret.rs style: apply rustfmt across entire codebase 2026-01-28 17:00:26 +00:00
temporal.rs feat(ablation): Thompson Sampling two-signal model, speculative dual-path, constraint propagation 2026-02-15 23:40:05 +00:00
timepuzzles.rs refine(ablation): risk_score policy, normalized penalty, witness log 2026-02-15 23:08:02 +00:00
vector_index.rs style: apply rustfmt across entire codebase 2026-01-28 17:00:26 +00:00