Claude 92a518a4b8 research: LLM evolutionary sampling — applicability to OmniGraph ... Note on Erol et al. (arXiv 2602.10387) — DBPlanBench's evolutionary search over DataFusion physical plans — and where the mechanic does and does not port to OmniGraph. The direct port (fork DataFusion, patch physical plans) is the wrong target since we touch DataFusion only as a MemTable in table_store::scan_pending_batches; the adapted form (JSON-Patch search over QueryIR, especially multi-hop Expand ordering / direction) fits cleanly above the substrate without violating §I substrate respect. Lists application surfaces by value/difficulty (multi-hop Expand reorder, RRF hybrid-retrieval k-tuning, filter-pushdown shape, vector index params, compaction policy) and proposes the smallest experiment that would produce signal — bol_evol on a ~30-query .gq corpus with bit-identical result validation. Calls out the Hyrum's Law / determinism discipline (search offline, freeze plans for serving) and the corpus bootstrap problem. Filed under docs/research/ as exploratory; not a committed plan.		2026-05-14 21:14:31 +00:00
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llm-evolutionary-sampling.md	research: LLM evolutionary sampling — applicability to OmniGraph	2026-05-14 21:14:31 +00:00