arXiv cs.LG
· Papers
Pseudorandom Streams within Diffusion Models Act as Learnable Inputs That Affect Generation Quality
arXiv:2608.02575v2 Announce Type: replace Abstract: Digital learning systems consume concrete pseudorandom values rather than abstract random variables. These values enter the realized loss and its gradient during training. If a pseudorandom stream contains structure that is accessible to the model, this structure can