Understanding the nature and extent of cellular diversity in the brain is key to unraveling the complexity of neural circuits, their connectivity and roles in behavior, in health and disease 1,2,3.

Discrete diffusion models typically rely on dimension-wise factorization to avoid computational intractability. However, we rigorously prove this approach leads to worst-case errors scaling linearly ...