OverSeer, a multi-agent world model introduced by researchers from CUHK, Tsinghua University, and others, addresses the challenge of generating temporally consistent, agent-specific video streams by integrating auxiliary camera views fixed in space. These static views act as a world-centric proxy, enabling localized updates to the environment state rather than relying solely on egocentric agent perspectives, which can shift drastically with positional changes. To manage computational overhead, the authors employ a delta-VAE that compresses auxiliary views by encoding deviations from a static reference image, significantly reducing token requirements. Evaluations in Minecraft and Doom environments demonstrated improved world and agent consistency, while qualitative tests on real-world multi-camera setups confirmed the method's applicability beyond game engines. The delta-VAE compression analysis revealed substantial efficiency gains, with auxiliary-view generation requiring fewer resources. The study concludes that fixed auxiliary views offer a scalable, efficient approach to enhancing multi-agent world models by decoupling environmental dynamics from agent-centric variability.