AI RESEARCH
VCBench: A Streaming Counting Benchmark for Spatial-Temporal State Maintenance in Long Videos
arXiv CS.CV
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ArXi:2603.12703v1 Announce Type: new Video understanding requires models to continuously track and update world state during playback. While existing benchmarks have advanced video understanding evaluation across multiple dimensions, the observation of how models maintain world state remains insufficient. We propose VCBench, a streaming counting benchmark that repositions counting as a minimal probe for diagnosing world state maintenance capability.