The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting

ArXi:2605.07671v1 Announce Type: cross Eliciting truthful reports from autonomous agents is a core problem in scalable AI oversight: a principal scores the agent's report using a strictly proper scoring rule, but the agent also benefits from the report through a non-accuracy channel (approval for autonomous action, allocation share, downstream control). The same structure appears in classical mechanism-design settings such as marketplace operation.