A diffusion distillation approach described as pairing straight-line predictions with a curved path

A post describes a diffusion distillation approach in which a student learns mean flow by matching a teacher using a straight-line prediction plus a curved, zero-integral path at random sub-intervals. It says the curved part is dropped during sampling. The author calls the approach “very clever,” while cautioning that it is “not that simple.”