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Sum of Squared Autocorrelations

technology1 mentionslast seen Nov 9, 2026

A scalar barrier-sensitive measure of mode separation extracted from the autocovariance matrix of the canonical diffusion.

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Sum of Squared Autocorrelationsapplies toSDXL75% confidence1 source

Sum of Squared Autocorrelations

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Sum of Squared Autocorrelationsapplies toSDXL

75% confidence1 supporting mentions

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preprintarXivNov 6, 2026Measuring and Decomposing Mode Separation via the Canonical Diffusion
SSA and DA capture structure that entropy and PCA miss; and (iii) molecular dynamics of alanine dipeptide, where DA recovers the known slow backbone dihedrals from static samples alone. We apply our framework to three settings: (i) synthetic Gaussian mixtures, where SSA tracks mutual information; (ii) SDXL text-to-image generations