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A metric interaction framework that models object-level and scene-level interactions in physical Cartesian space at a shared metric scale and improves diverse VLA and WAM baselines with a small number of additional parameters and training steps is introduced.
Despite advancements in static image understanding, models falter in tracking dynamic world states over time, exposing critical gaps in spatial reasoning.
