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Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models

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Executive summary
Claim 1: Linear model predicts cross-split consistency
Claim 2: Self-consistency equation and renormalized noise
Claim 3: Variance factorization (anisotropy x inhomogeneity)
Claim 4: Fractional matrix power extension to sampling trajectories
Claim 5: Deep network validation (toy scale)
Claim 6: Deep network validation (scoped toy scale, CIFAR10 only)
Conclusion