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This work provides a theoretically grounded condition under which a self-evolved harness can be reliably adopted and proposes a validation rule to make the evolved system satisfy the reliable adoption condition with theoretical guarantees.
AtmosCoder-Bench is introduced, an execution-grounded benchmark that makes the calculation process visible, and finds that multiple-choice formats inflate measured accuracy by at least 12 percentage points.
It is proved that the planner's suboptimality is bounded by twice this discrepancy between the predicted and the true plan-cost at the plan the planner commits to, whereas the data-averaged prediction error neither bounds nor tracks it.
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