Group 1 - The article discusses the limitations of Chain-of-Thought (CoT) reasoning in language models, suggesting that it may not represent true reasoning but rather a superficial narrative [5][6] - Researchers have introduced the Chain-of-Frames (CoF) concept in the visual domain, which aims to enhance temporal consistency in video generation and understanding by applying a reasoning framework similar to CoT [6][9] - CoF allows video models to "watch and think," enabling them to not only fill in visual details but also solidify reasoning logic through the continuous evolution of each frame [6][9] Group 2 - CoF provides a natural temporal reasoning framework for video models, allowing them to perform reasoning on a frame-by-frame basis, thus addressing the temporal consistency issues in video generation and understanding [11] - Unlike traditional methods that rely on implicit feature alignment or smooth transitions, CoF ensures that each frame follows a logical evolution, reducing inconsistencies and detail loss across frames [12] - The integration of frame-level semantic information into video models significantly enhances their reasoning capabilities and cross-frame consistency [13]