# Video-generation world models and simulators Area: [World models](https://mlsanity.com/wm/index.md). HTML: https://mlsanity.com/wm/video-generation-world-models-and-simulators/ ## Key facts - Video-generation world models and simulators: 349 papers on arXiv since 2017 (data through 14 Oct 2026). - 158 of its 349 mapped papers (45%) cite “Wan: Open and Advanced Large-Scale Video Generative Models” (2025, arXiv 2503.20314). - 120 of its 349 mapped papers (34%) cite “Genie: Generative Interactive Environments” (2024, arXiv 2402.15391). - 78 new papers 17 Sep–14 Oct. ## Most cited here - [Wan: Open and Advanced Large-Scale Video Generative Models](https://mlsanity.com/paper/2503.20314/) (2025), cited by 158 papers here - [Genie: Generative Interactive Environments](https://mlsanity.com/paper/2402.15391/) (2024), cited by 120 papers here - [Scalable Diffusion Models with Transformers](https://mlsanity.com/paper/2212.09748/) (2022), cited by 119 papers here - [CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer](https://mlsanity.com/paper/2408.06072/) (2024), cited by 105 papers here - [Denoising Diffusion Probabilistic Models](https://mlsanity.com/paper/2006.11239/) (2020), cited by 90 papers here - [Diffusion Models Are Real-Time Game Engines](https://mlsanity.com/paper/2408.14837/) (2024), cited by 89 papers here - [Learning Transferable Visual Models From Natural Language Supervision](https://mlsanity.com/paper/2103.00020/) (2021), cited by 86 papers here - [Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets](https://mlsanity.com/paper/2311.15127/) (2023), cited by 86 papers here - [Matrix-game 2.0: An open-source real-time and streaming interactive world model](https://mlsanity.com/paper/2508.13009/) (2025), cited by 80 papers here - [WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling](https://mlsanity.com/paper/2512.14614/) (2025), cited by 63 papers here ## New (17 Sep–14 Oct) - [Orbia: Do Generated Videos Form a Consistent 3D World?](https://mlsanity.com/paper/2610.20693/) (2026-10-14) - [PAWA: Panoramic Action-conditioned World Modeling for Multiple Agents](https://mlsanity.com/paper/2610.20240/) (2026-10-14) - [Glance Forcing: Making Bidirectional Diffusion Autoregressive at a Glance](https://mlsanity.com/paper/2610.20220/) (2026-10-14) - [StateCraft: Augmenting Video World Models with Abstract-State Reasoning](https://mlsanity.com/paper/2610.19795/) (2026-10-14) - [SceneAE: Scene Generation and Reconstruction in Queryable 3D-Anchored Latent Space](https://mlsanity.com/paper/2610.19708/) (2026-10-14) - [Decoupled Drift-Diffusion World Models for Consistent Future Frame Prediction](https://mlsanity.com/paper/2610.19212/) (2026-10-13) - [WorldMemBench: A Comprehensive Benchmark for Memory of Video World Models](https://mlsanity.com/paper/2610.19063/) (2026-10-13) - [AffectWorld: Benchmarking Emotion-Driven Future World Prediction](https://mlsanity.com/paper/2610.18305/) (2026-10-13) - [LongForcing: Scaling Temporal Manifold Matching for Long-Horizon World Rollout](https://mlsanity.com/paper/2610.18289/) (2026-10-13) - [4LC: 4D Latent Cache for Efficient Conditioning in Dynamic World Modeling](https://mlsanity.com/paper/2610.17625/) (2026-10-13) - [World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models](https://mlsanity.com/paper/2610.17434/) (2026-10-12) - [Multics: Generative Multi-Player World Model with Hierarchical Communication](https://mlsanity.com/paper/2610.17201/) (2026-10-12) - [World Models Need a Physical Registry: Learning Internal Predictive States for Physically Plausible World Models](https://mlsanity.com/paper/2610.16365/) (2026-10-12) - [RAR: Rate-Adaptive Rollout for Time-Consistent Interactive World Models](https://mlsanity.com/paper/2610.16302/) (2026-10-12) - [A Plausible Future Is Not a Causal Future: Can Video Models Generate How the World Unfolds?](https://mlsanity.com/paper/2610.15562/) (2026-10-11) - [Across Viewpoints and Time: Trajectory-Generalizable Physical Attacks on World Models and Video Understanding Models](https://mlsanity.com/paper/2610.15343/) (2026-10-11) - [Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering](https://mlsanity.com/paper/2610.14685/) (2026-10-10) - [GLIMPSE: Global-Local Indexing with Multi-Precision Spectral Encoding for Explorable Video World Models](https://mlsanity.com/paper/2610.13706/) (2026-10-09) - [Golden Anchor for Video Generation](https://mlsanity.com/paper/2610.13217/) (2026-10-09) - [ForcingBooster: Adaptive Patch-wise Denoising for Fast Autoregressive Video Diffusion](https://mlsanity.com/paper/2610.12625/) (2026-10-08) - [What 30,000 Hours of Ego-centric Video Does Not Teach](https://mlsanity.com/paper/2610.12464/) (2026-10-08) - [OuroWorld: Bringing Any 3D World Alive as Diverse, Endlessly Looping 3D Cinemagraphs](https://mlsanity.com/paper/2610.12461/) (2026-10-08) - [WorldGuide: Goal-Directed Video World Model for Procedural Task Execution](https://mlsanity.com/paper/2610.12459/) (2026-10-08) - [WOVEN: Weaving Visual World Modeling into Multimodal LLMs](https://mlsanity.com/paper/2610.12417/) (2026-10-08) - [WorldCast: Distributed Multiplayer World Models](https://mlsanity.com/paper/2610.12412/) (2026-10-08) - [MultiWorldBench: Do Independently Controlled Views Describe One Shared World?](https://mlsanity.com/paper/2610.11723/) (2026-10-08) - [Learning to Retrieve: Internalizing Memory Retrieval for Video World Models](https://mlsanity.com/paper/2610.11444/) (2026-10-08) - [IntactWorld: Joint World Modeling with Intact Features](https://mlsanity.com/paper/2610.11174/) (2026-10-08) - [STRIKE: Learning Visual State Transitions for Physical World Modeling](https://mlsanity.com/paper/2610.09514/) (2026-10-07) - [Kuration SDK: Addressing the Virtual2Real Gap via Data Curation](https://mlsanity.com/paper/2610.09305/) (2026-10-07)