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High-quality retrieval fails to guarantee correct reasoning in real-world QA systems, revealing critical vulnerabilities in their performance.
WAPO leverages token-level gradient dynamics to stabilize RLVR training, achieving superior performance in reasoning tasks while addressing collapse risks.
