Claude cd291b9a1e docs/research: enumerate next 6 experiment candidates, ranked by ROI x readiness ... Add a "Next experiment candidates" section grouped by control-loop shape (the unit of harness reuse is the loop, not the target): Cluster A - reuses lance-autoresearch as-is: A1. Adjacent distance kernels (cosine, dot, hamming) A2. IVF partition-selection kernel (centroid scan) A3. FTS BM25 scoring kernel Cluster B - needs a new harness (BauplanLabs tournament loop): B1. IVF_PQ index-build parameter tuning (original "surface 1") B2. Auto-index-type selection (categorical + B1 inner) Cluster C - highest ceiling, hardest harness: C1. Physical-plan JSON patching for Lance-backed DataFusion (literal BauplanLabs replication) Each candidate notes the surface, oracle, harness reuse vs. new, and the expected payoff. A cross-cluster section frames the three "if your goal is X, run candidate Y next" branches: shortest path to upstream PR (A1), most user-facing impact (B1), paper-publishable replication (C1). Includes the go/no-go logic if A1 and B1 split. scripts/check-agents-md.sh still passes (30/30 links). https://claude.ai/code/session_01Aq8kBUcjmEPobcEufnWbW5		2026-05-14 23:37:34 +00:00
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llm-evolutionary-sampling.md	docs/research: enumerate next 6 experiment candidates, ranked by ROI x readiness	2026-05-14 23:37:34 +00:00