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Static frame-level scene graphs leave models blind to procedural dynamics, but grounding surgical queries across continuous spatio-temporal graphs drives an immediate 16.5-point accuracy jump over static supervision.
Despite high uncertainty-error alignment, a model can still miscalibrate confidence in critical regions, posing serious patient safety risks.
