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DCP provides a common evidence language for useful outcomes, alternative routes, and feedback effects across AI research, and is applied to Core, recovered, and audit-incomplete decisions.
Answer consistency in retrieval-augmented QA systems can deteriorate significantly, even when aggregate accuracy appears stable.
