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Existing post-training quantization methods are poorly suited to World Action Models because they rely on open-loop objectives, homogeneous model assumptions, and calibration distributions that do not reflect deployment

Machine Learning02 Aug 2026

http://arxiv.org/abs/2607.28405v1