SOURCE-LINKED INTELLIGENCE
ConsistWorld: Evidence Routing for Consistent Multi-Agent World Models
Autoregressive video world models enable temporally coherent generation for a single observer. Extending them to multiple agents requires consistency across independently controlled views and temporal gaps under causal streaming. We present ConsistWorld, a multi-agent world model that generates camera-controlled video streams of a static scene from one shared image. We formulate consistency as routing evidence from committed multi-agent history and concurrently generated peer views to the tokens being generated. Pose Conditioned Memory Retrieval selects relevant historical observations from al
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T23:31:01.000Z
First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.