Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation

Context-Matched Distillation (CMD) aligns teacher supervision with the student's causal information set by replacing bidirectional scoring with causal teacher constraints. This framework prevents future frames from influencing the training signal during autoregressive video generation, mitigating misalignment between bidirectional teachers and causal student rollouts.