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READER reveals that even frozen LLMs can expose rich authorship signals, achieving up to 84% accuracy in identifying model sources from black-box outputs.
MAVIS redefines video retrieval by enabling agents to collaboratively reason and refine candidate selections, outperforming traditional methods without task-specific tuning.