latent world model
A learned internal, compressed representation of environment dynamics, enabling future-aware planning, generation, and reasoning directly in latent space.
- Papers
- 8
- Released code
- 1
- First seen
- June 2026
- Latest
- Sept 2026
5 papers in the last two months, against 3 in the two before.
The papers
Most central to this idea first, not most recent.
- Top Universitycs.CVcode
Reusable latent trajectories improve world-model control while cutting planning time
University of Washington · Aug 2026
- Independentcs.CV
World simulator achieves infinite interaction and agentic control
July 2026
- Chinese Techcs.AI
Three-stage training instills world model planning into LLM agents
Fudan University, Shanghai Innovation Institute · June 2026
- Top Universitycs.LG
Intermediate targets help frozen visual world models plan longer routes
Tsinghua University · Sept 2026
- Chinese Techcs.CV
Streaming video memory works better when internalized as evolving latent tokens
Nanjing University of Science and Technology, Ant Group · Sept 2026
- Top Universitycs.CV
Factorized reinforcement learning improves vision-language models’ spatial reasoning
Joy Future Academy, The Hong Kong University of Science and Technology (Guangzhou) · Sept 2026
- Big Techcs.CV
World state registers enable consistent multi-agent video generation across views
University of California, Los Angeles, Adobe Research · July 2026
- Chinese Techcs.CV
Language enables precise character and camera control in video worlds
Tencent, National University of Singapore · Sept 2026
Concepts are extracted from each paper and reused across the corpus, so this page grows on its own as the desk reads.