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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.
EvolveNet is introduced, a paradigm of collaborative harness evolution that moves experience extraction to the data and introduces scope-typed, evidence-guided program aggregation, which improves the shared harness in all five settings.
Test-Time Harness Evolution is introduced, which treats the executable harness as the state of test-time adaptation for LLM agents as evolution over executable control programs and identifies execution-derived proxy reliability as a central challenge for robust unsupervised agent improvement.
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