Supervise What Survives: Geometry-Guided VLA Adaptation from Synthetic Robot Videos

This work identifies an asymmetric preservation principle: synthetic robot videos retain useful visual geometry but not the exact motor controls behind it. The proposed GRA method therefore uses geometry to supervise visual representations while learning control from real demonstrations.