The article discusses the limitations of current autoresearch agents in evaluating scientific candidates based on aggregate metrics, which can lead to incorrect decisions when multi-dimensional validity is involved. It proposes a new protocol that involves an external control loop to audit candidates based on their disaggregated behavior, improving decision-making accuracy in research applications.