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ReactVAU引入了一个用于实时流式视频异常理解的慢-快解耦框架，利用快速检测模块、持久化异常感知内存和按需慢速推理，以提高效率和性能。
This paper presents a unified global-to-local paradigm for video anomaly detection, introducing a training-free framework (GtS) and a tool-augmented agentic reasoning method with reinforcement learning, along with a new benchmark VAGU-T and metric JeAUG.