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CANON transforms consensus into rich, token-level supervision, leading to unprecedented improvements in reasoning accuracy without the need for labeled data.
GeoSD counters the problematic drift in self-distillation, boosting out-of-distribution reasoning accuracy while preserving in-distribution gains.