arXiv cs.LGPaper
Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks
The insight is that diffusion's core mechanism (staying close to noisy state) actively hurts discrete problems where early errors are hard to undo. If you're using diffusion-based methods for combinatorial tasks, this is a quick win. The limitation: this is tested on synthetic puzzles, not real application domains.