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FARM: Reading Failure Signals from the Internal Predictive States of a Frozen Robotic World Model
Reliable robot deployment requires online failure monitoring, yet existing monitors mainly derive risk from proxy signals or train dedicated monitoring components. We ask whether the internal predictive states of a frozen pretrained robotic world model already contain directly decodable failure info
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