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Wavering Oracles: Selective Updating and Correlated Failures in LLMs and Their Implications for Scientific Workflows
Scientific workflows increasingly use repeated queries, multiple models, and interacting agents. Reliability therefore depends on whether models preserve correct conclusions, accept valid corrections, and contribute errors that a selector can distinguish. Using SycoBench- 600 as a controlled measure
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