01 · The idea
What stayed with us
Parameter-aware query optimization needs equal search budgets, fresh held-out measurement, SQL-equivalence checks, and a native-planner baseline before an offline plan search can claim value.
02 · The local translation
What we did with it
The owner-proposed local experiment isolates offline search and a parameter-to-plan dispatcher while keeping language-model training outside the scope.
03 · The boundary
Where the comparison stops
Selection bias, cache state, parameter skew, routing overhead, and tuning cost can erase an apparent speedup.