How Out-of-Equilibrium Phase Transitions can Seed Pattern Formation in Trained Diffusion Models

arXiv:2603.20092v2 Announce Type: replace Abstract: Diffusion models generate structure by progressively transforming noise into data, yet the mechanisms underlying this transition remain poorly understood. In this work, we show that pattern formation in trained diffusion models can be explained as