We propose ReStraV, a novel method to detect AI-generated videos by exploiting the geometric "straightness" of video trajectories in neural representation space.

While loss decreases monotonically during LLM training, the representations undergo distinct geometric phases across pretraining and post-training, which in turn determine when and how the model acquires memorization or generalization capabilities.