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DRA outputs are surprisingly variable, with inference and early-stage decisions being the biggest culprits, but structured outputs and ensemble querying can significantly reduce this stochasticity.
Even state-of-the-art multimodal LLMs struggle to accurately cite their sources when reasoning across video, audio, and text, often hallucinating citations despite generating correct answers.
