# Video, motion and generative Mamba models

Area: [State-space sequence models (S4, Mamba)](https://mlsanity.com/ssm/index.md). HTML: https://mlsanity.com/ssm/video-motion-and-generative-mamba-models/

## Key facts

- Video, motion and generative Mamba models: 209 papers on arXiv since 2023 (data through 14 Oct 2026).
- 37 of its 209 mapped papers (18%) cite “VideoMamba: State Space Model for Efficient Video Understanding” (2024, arXiv 2403.06977).
- 23 of its 209 mapped papers (11%) cite “Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces” (2024, arXiv 2402.00789).
- 3 new papers 18 Sep–14 Oct.

## Most cited here

- [VideoMamba: State Space Model for Efficient Video Understanding](https://mlsanity.com/paper/2403.06977/) (2024), cited by 37 papers here
- [Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces](https://mlsanity.com/paper/2402.00789/) (2024), cited by 23 papers here
- [Motion Mamba: Efficient and Long Sequence Motion Generation](https://mlsanity.com/paper/2403.07487/) (2024), cited by 19 papers here
- [Graph Mamba: Towards Learning on Graphs with State Space Models](https://mlsanity.com/paper/2402.08678/) (2024), cited by 15 papers here
- [Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding](https://mlsanity.com/paper/2403.09626/) (2024), cited by 13 papers here
- [ZigMa: A DiT-style Zigzag Mamba Diffusion Model](https://mlsanity.com/paper/2403.13802/) (2024), cited by 12 papers here
- [STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model](https://mlsanity.com/paper/2403.12418/) (2024), cited by 9 papers here
- [DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis](https://mlsanity.com/paper/2405.14224/) (2024), cited by 9 papers here
- [VideoMamba: Spatio-Temporal Selective State Space Model](https://mlsanity.com/paper/2407.08476/) (2024), cited by 7 papers here
- [Matten: Video Generation with Mamba-Attention](https://mlsanity.com/paper/2405.03025/) (2024), cited by 6 papers here

## New (18 Sep–14 Oct)

- [PhysMamba: Selective State Space Models as Learned Articulated Body Simulators](https://mlsanity.com/paper/2610.04014/) (2026-10-02)
- [Remember What You Did: Action-History Memory with Dual-Expert Denoising for Long-Horizon Vision-Language-Action Policies](https://mlsanity.com/paper/2609.37307/) (2026-09-29)
- [Groupwise Selective State-Space Filtering for Accurate and Streaming Action Boundary Detection](https://mlsanity.com/paper/2609.33400/) (2026-09-27)