SpaceConflict comprises 23,196 inputs organized into four levels: local fact binding, relational composition, cross-observation consistency, and state judgment under transformation. It uses controlled conflicts among visual evidence and spatial claims to test if models can use recovered facts in subsequent computation.
Scoring uses a unified Supported/Contradictory/Unknown classification interface, with PairAcc computed over matched pairs. The benchmark reveals an availability-utilization gap where models recover initial states but fail to use them for transformations, a gap narrowed by Operational State Supervision.