runDnnRemote requests each level's scenes in chunks (REQ=64) via CuasDnnRemote.inferBatch instead of per-scene; the DGX runs them continuously (production-representative ~100ms/scene full-res) and applies the ghostbuster on the GPU in decode, so BOTH the ROI 121-cell field and the full-frame -OFFSET {dx,dy,s,Vx,Vy} are ghostbusted (dropped the Java-side ghostbust). Validated: local vs remote on the same weighted9_pm_s model -> max |diff| ~1e-4 (ORT per-pixel vs PyTorch shift-and-stitch fp). Full-res ~100ms/scene is the oracle; RT would use the 1/4-res single forward (~4.4ms).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>