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.