# Latent predictive world models

Area: [World models](https://mlsanity.com/wm/index.md). HTML: https://mlsanity.com/wm/latent-predictive-world-models/

## Key facts

- Latent predictive world models: 296 papers on arXiv since 2014 (data through 14 Oct 2026).
- 103 of its 296 mapped papers (35%) cite “Learning Latent Dynamics for Planning from Pixels” (2018, arXiv 1811.04551).
- 79 of its 296 mapped papers (27%) cite “DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning” (2024, arXiv 2411.04983).
- 84 new papers 17 Sep–14 Oct.

## Most cited here

- [Learning Latent Dynamics for Planning from Pixels](https://mlsanity.com/paper/1811.04551/) (2018), cited by 103 papers here
- [DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning](https://mlsanity.com/paper/2411.04983/) (2024), cited by 79 papers here
- [Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture](https://mlsanity.com/paper/2301.08243/) (2023), cited by 75 papers here
- [LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels](https://mlsanity.com/paper/2603.19312/) (2026), cited by 64 papers here
- [Revisiting Feature Prediction for Learning Visual Representations from Video](https://mlsanity.com/paper/2404.08471/) (2024), cited by 54 papers here
- [Temporal Difference Learning for Model Predictive Control](https://mlsanity.com/paper/2203.04955/) (2022), cited by 43 papers here
- [Contrastive Learning of Structured World Models](https://mlsanity.com/paper/1911.12247/) (2019), cited by 26 papers here
- [How Far is Video Generation from World Model: A Physical Law Perspective](https://mlsanity.com/paper/2411.02385/) (2024), cited by 23 papers here
- [Hierarchical Planning with Latent World Models](https://mlsanity.com/paper/2604.03208/) (2026), cited by 13 papers here
- [What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?](https://mlsanity.com/paper/2512.24497/) (2025), cited by 12 papers here

## New (17 Sep–14 Oct)

- [Enhancing Latent World Models with Associative Memory](https://mlsanity.com/paper/2610.19683/) (2026-10-14)
- [One-Step Prediction Fidelity Is a Poor Proxy for Planning Performance in JEPA World Models](https://mlsanity.com/paper/2610.19375/) (2026-10-14)
- [Action Jets: Learning the Local Shape of the Action-conditioned Data Manifold](https://mlsanity.com/paper/2610.19007/) (2026-10-13)
- [Grid or Nodes? Probing Object Memory in World Models Under Partial Observability](https://mlsanity.com/paper/2610.18637/) (2026-10-13)
- [Order-Consistent Latent Geometry for Reliable Short-Horizon Planning in World Models](https://mlsanity.com/paper/2610.18570/) (2026-10-13)
- [RAN-JEPA: An Action-Conditioned World Model for Energy-efficient Mobile Network Control](https://mlsanity.com/paper/2610.17584/) (2026-10-13)
- [World Modeling through Spectral Alignment](https://mlsanity.com/paper/2610.15429/) (2026-10-11)
- [LeHami: Symplectic Latent Dynamics for World Models](https://mlsanity.com/paper/2610.15267/) (2026-10-11)
- [Sampling-based Kinodynamic Planning with World Models](https://mlsanity.com/paper/2610.12910/) (2026-10-09)
- [LeWAM: End-to-End World and Action Modeling with JEPAs](https://mlsanity.com/paper/2610.12818/) (2026-10-08)
- [RiCo: Neural Simulation of Rigid-Body Interactions via Local Contact Reasoning](https://mlsanity.com/paper/2610.12333/) (2026-10-08)
- [CausalDreamer: Learning Predictive World Models with Latent Disentanglement](https://mlsanity.com/paper/2610.12016/) (2026-10-08)
- [Sparse Planning in Visual World Models via Cost Gradients](https://mlsanity.com/paper/2610.10274/) (2026-10-07)
- [LeCuration: A Tiny World Model as a Data Curation Multi-Tool](https://mlsanity.com/paper/2610.09285/) (2026-10-07)
- [Towards Financial World Modeling](https://mlsanity.com/paper/2610.09048/) (2026-10-06)
- [Directed Temporal Representations for Offline Visual Control](https://mlsanity.com/paper/2610.08960/) (2026-10-06)
- [World Models' Last Exam in Physics](https://mlsanity.com/paper/2610.08791/) (2026-10-06)
- [Parallel Predictive World Models for Accurate and Efficient Long-Horizon Planning](https://mlsanity.com/paper/2610.08627/) (2026-10-06)
- [Modeling Latent Disturbances for Robust Decision-Making in World Models](https://mlsanity.com/paper/2610.07599/) (2026-10-06)
- [Preserving Unstable Modes Through Inverse Dynamics in JEPA World Models](https://mlsanity.com/paper/2610.07540/) (2026-10-06)
- [Generative World Models Enable Predictive Control of Laser Melt Pool Dynamics](https://mlsanity.com/paper/2610.06250/) (2026-10-05)
- [EpicWorldModel: Exploration-driven Planning with Latent World Models](https://mlsanity.com/paper/2610.05996/) (2026-10-05)
- [Identifiable World Models from Pretrained Diffusion Representations](https://mlsanity.com/paper/2610.07028/) (2026-10-04)
- [BeliefGraph-JEPA: Structured Latent World Models for Action-Conditioned Time Series](https://mlsanity.com/paper/2610.05409/) (2026-10-04)
- [Pythia: Toward Foundation World Models for Multimodal Time Series](https://mlsanity.com/paper/2610.05240/) (2026-10-04)
- [How Long, Not How Close: A Learned Temporal Metric for Planning in Latent World Models](https://mlsanity.com/paper/2610.04988/) (2026-10-04)
- [Frozen in a Frame: The Velocity Blind Spot in JEPA World Models](https://mlsanity.com/paper/2610.04585/) (2026-10-03)
- [LatentQuant: Preserving the Policy-Facing Latent Contract under NVFP4 VAE Quantization](https://mlsanity.com/paper/2610.03959/) (2026-10-02)
- [AVL-JEPA: Preventing Causal Dynamics Information Collapse In Joint Embedding Predictive Architecture World Models](https://mlsanity.com/paper/2610.03587/) (2026-10-02)
- [Keeping JEPA World Models Plannable When Little of the Frame Moves](https://mlsanity.com/paper/2610.03137/) (2026-10-02)