OpenCoF: Learning to Reason Through Video Generation
OpenCoF, a framework comprising the OpenCoF-17K dataset, a reasoning video dataset spanning 11 task families, and Wan-CoF, a fine-tuned video model for studying whether diverse temporal supervision improves CoF behavior are introduced, suggesting that stronger video reasoning requires both broad temporal supervision and explicit mechanisms for organizing intermediate reasoning state.