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j1s4nn/ddag-experiments

DDAG Adaptive Temporal Granularity Experiments Audited experiments for Deadline- and Drift-Aware Adaptive Granularity DDAG Adaptive Temporal Granularity Experiments Consolidated, audited results for DDAG (Deadline- and Drift-Aware Adaptive Temporal Granularity), the method part of the JevGAG + DDAG programme. Eleven experiments on causal video world models across a Tesla T4 and an A100-80GB: intrinsic pre-generation probe, seam repair, closed-loop evidence… See the full description on the dataset page: https://huggingface.co/datasets/j1s4nn/ddag-experiments.

Author / organizationj1s4nn
License (as declared)cc-by-4.0
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Created29 October 2026
Last updated at source29 October 2026
causal-video-generationvideo-world-modelsadaptive-computationtemporal-granularitydiffusion-transformersresearchreproducibilitydata-visualizationdeadline-awaredrift-awareregime-maponline-policy
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