CASE: Cost-Aware Stopping for Efficient Long-Video Agents.

arXiv:2610.05400v1 Announce Type: new Abstract: Long-video agents can actively gather question-relevant evidence, but they typically leave a central decision implicit: when has the agent seen enough to answer? We propose CASE, a plug-in termination framework t