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Camera-controlled world models don't need weight updates to master scene physics: optimizing a handful of test-time tokens via cross-attention outperforms LoRA and block fine-tuning at decoupling local object dynamics from global camera trajectories.
C2GA transforms respiratory sound classification by generating high-fidelity, class-consistent audio augmentations that enhance model performance in real-world clinical scenarios.