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StarWM: Self-Supervised Trained Attention Routing for Robust World Models

arXiv:2609.30667v1 Announce Type: new Abstract: A robust world model must strike the balance between faithfully capturing environmental dynamics and abstracting away from irrelevant content. While reconstruction-based world models ensure faithful supervision, they misallocate representational capac…

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  1. 2026-09-28 04:00 · arXiv cs.CV
    StarWM: Self-Supervised Trained Attention Routing for Robust World Models

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