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- claim-1-under-finite-drift-energy-assumptions-the-intra-generation-kl-divergence-between-the-generated-distribution-and-the-training-target-is-bounded-above-by-1-2-the-learned-path-score-error-energy-proposition-3-1
- claim-2-a-matching-lower-bound-on-the-chi-squared-divergence-p-i-1-q-1-4-c-holds-for-small-score-errors-1-where-0-1-is-the-observability-coefficient-proposition-3-3-definition-3-2
- claim-3-combining-the-upper-and-lower-bounds-yields-a-two-sided-equivalence-p-i-1-q-in-the-perturbative-regime-theorem-3-4
- claim-4-when-the-score-error-series-diverges-the-accumulated-divergence-across-generations-cannot-vanish-and-has-a-non-zero-floor-limsup-d-16-1-1-proposition-4-1
- claim-5-when-converges-accumulated-divergence-across-generations-satisfies-d-n-1-c-bias-1-2-n-i-1-2-n-1-i-d-i-decaying-geometrically-at-rate-1-per-generation-where-is-the-fraction-of-fresh-data-mixed-in-each-round-theorem-4-2
- claim-6-the-dependent-tradeoff-between-drift-and-stability-is-empirically-confirmed-on-a-10d-gaussian-mixture-and-on-fashion-mnist-cifar-10-with-low-producing-collapse-driven-drift-and-high-maintaining-stability-figure-1
- conclusion
- executive-summary
- 2.8 kB