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Label-derived evidence in fraud detection is only reliable when supported by validation, revealing a critical dependency that can reshape detection strategies.
daVinci-kernel outperforms the best existing RL-trained model in GPU kernel optimization by effectively co-evolving skill selection and execution strategies.
