Rongxue Li

The authors introduce SpatialOPSD, an on-policy self-distillation framework that treats verified execution traces from a spatial coding agent as privileged information, letting a frozen teacher initialized from the same checkpoint see the traces while the student sees only raw images, with Repetition-Aware Distillation (repetition masking plus unlikelihood regularization) suppressing verbatim copying; on MindCube-Tiny and ViewSpatial, the 9B student raises average accuracy from 45.9 to 51.9, above SFT at 47.6 and GRPO at 48.2, and retains about 91% of its tool-using teacher SpatialClaw at 57.3 in a single tool-free forward pass.

The authors introduce SpatialOPSD, an on-policy self-distillation framework that treats verified execution traces from a spatial coding agent as privileged information, letting a frozen teacher initialized from the same checkpoint see the traces while the student sees only raw images, with Repetition-Aware Distillation (repetition masking plus unlikelihood regularization) suppressing verbatim copying; on MindCube-Tiny and ViewSpatial, the 9B student raises average accuracy from 45.9 to 51.9, above SFT at 47.6 and GRPO at 48.2, and retains about 91% of its tool-using teacher SpatialClaw at 57.3 in a single tool-free forward pass.