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OSCBench is a new benchmark designed to evaluate text-to-video generation models' ability to accurately represent object state changes (transformations caused by actions like peeling or slicing). The paper reveals that current T2V models struggle with temporally consistent state changes, especially in novel and compositional scenarios, identifying this as a key bottleneck in video generation.