RRSI: what did the higher score actually select?
Two searches improve the same agent's working method. The one that scores higher during selection transfers less well to other benchmarks. Their retained edits help explain what the scores leave unresolved.
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RRSI changes the procedures around a fixed model. One Harvey LAB comparison connects repeated grading feedback to the instructions and file checks that survive the search, then tests their usefulness elsewhere. Both evolved methods help, but their selection scores give the wrong ranking for cross-benchmark transfer.