We propose a highly efficient distillation algorithm for flow matching models that requires minimal computation and enables few-shot training.

We propose a method for modeling dynamical systems, that bridges efficient latent space modeling with entity tracking by introducing identifier representations that maintain entity traceability within a latent system representation.