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Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference
Reproducibility checks during peer review require a shared understanding of what authors' code is expected to reproduce. We present an author-in-the-loop collaborative audit that makes author declarations explicit inputs to an AI agent's investigation and assessment. A structured checklist records r
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