Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers
- Published
- Source
- arXiv
- Paper number
- 703
- Field
- Computer Vision
- arXiv ID
- 2607.21594
Key points
- It uses a world-state register, which is a learnable token, to explicitly manage shared state across multiple agents.
- The register is grounded with three supervision signals: agent state, bird's-eye view, and scene text.
- A Mixture-of-Transformers structure reduces interference between state updates and frame generation.
- The Self-Forcing paradigm is used to update the register dynamically during long-horizon rollouts.
- In two-agent Minecraft experiments, both logical consistency and generation quality improve.
Paper links
External research summaries. These are not HDATF publications or measured product results.