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Coding agents can significantly improve payment integration performance with targeted skills, achieving up to 91.37% success in complex scenarios.
OPRD closes the performance gap between student and teacher models while training 1.44x faster and using 54% less memory than traditional methods.
RLVR models exhibit "Early Correctness Coherence" under noisy supervision, suggesting a surprising opportunity for self-correction via dynamic label refinement.
