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Walmart Global Tech and university researchers propose an explicit feedback contract for iterative ML-agent harnesses that only releases validation scores above a noise threshold computed from paired standard error, reducing adaptive overfitting to the validation split and preventing agents from chasing noise across repeated submissions.