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Diffusion models are completely blind to class frequencies at high signal-to-noise ratios, acquiring relative mode weights exclusively within a narrow $\mathcal{O}(1)$ SNR window known as the speciation time.
Multi-noise score matching mathematically splits the neural tangent kernel into two distinct spectral bulks, explaining why diffusion models master data distributions long before collapsing into training set memorization.
