Quo Vadis, World Modeling?
- Published
- Source
- arXiv
- Paper number
- 819
- Field
- Computer Vision
- arXiv ID
- 2608.02713
Key points
- It expands the paradigm of world models from predicting physical state to transforming information into agent-usable information.
- It classifies world proxies into six functional forms: dynamics, spatial, execution, memory, skill, and reward.
- It systematizes capability enhancement in three stages: inference-time support, training-time optimization, and co-evolution between the agent and the proxy.
- It analyzes how world proxies address the cost, risk, and limited parallelism of direct environment interaction.
- It is a roadmap paper from a joint effort by Shanghai AI Lab, Zhejiang University, and NUS that sets the direction for world-model research.
Paper links
External research summaries. These are not HDATF publications or measured product results.