{"total":17,"rows":[{"id":"2506.08009","title":"Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion","created":"2025-06-09","cited_by_count":625,"area":"diffusion"},{"id":"2512.15702","title":"End-to-End Training for Autoregressive Video Diffusion via Self-Resampling","created":"2025-12-17","cited_by_count":52,"area":"diffusion"},{"id":"2602.07775","title":"Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion","created":"2026-02-08","cited_by_count":32,"area":"diffusion"},{"id":"2605.18739","title":"LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation","created":"2026-05-18","cited_by_count":30,"area":"diffusion"},{"id":"2603.09488","title":"Streaming Autoregressive Video Generation via Diagonal Distillation","created":"2026-03-10","cited_by_count":18,"area":"diffusion"},{"id":"2602.01077","title":"PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers","created":"2026-02-01","cited_by_count":17,"area":"diffusion"},{"id":"2602.24289","title":"Mode Seeking meets Mean Seeking for Fast Long Video Generation","created":"2026-02-27","cited_by_count":12,"area":"diffusion"},{"id":"2604.21221","title":"Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation","created":"2026-04-23","cited_by_count":11,"area":"diffusion"},{"id":"2512.19678","title":"WorldWarp: Propagating 3D Geometry with Asynchronous Video Diffusion","created":"2025-12-22","cited_by_count":6,"area":"diffusion"},{"id":"2608.26794","title":"Ring Forcing: Towards Precise Long-Term Memory for Autoregressive Video Diffusion","created":"2026-08-27","cited_by_count":5,"area":"diffusion"},{"id":"2510.24718","title":"Generative View Stitching","created":"2025-10-28","cited_by_count":4,"area":"diffusion"},{"id":"2601.14959","title":"Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers","created":"2026-01-21","cited_by_count":4,"area":"diffusion"},{"id":"2601.16296","title":"Memory-V2V: Memory-Augmented Video-to-Video Diffusion for Consistent Multi-Turn Editing","created":"2026-01-22","cited_by_count":3,"area":"diffusion"},{"id":"2605.30349","title":"AdaState: Self-Evolving Anchors for Streaming Video Generation","created":"2026-05-28","cited_by_count":3,"area":"diffusion"},{"id":"2605.20708","title":"Rethinking Cross-Layer Information Routing in Diffusion Transformers","created":"2026-05-20","cited_by_count":2,"area":"diffusion"},{"id":"2607.05376","title":"MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing","created":"2026-07-06","cited_by_count":1,"area":"diffusion"},{"id":"2603.22241","title":"MemDLM: Memory-Enhanced DLM Training","created":"2026-03-23","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}