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    Home»Artificial Intelligence»A verifiable autonomous research framework via Chain-of-Evidence
    Artificial Intelligence

    A verifiable autonomous research framework via Chain-of-Evidence

    AdminBy AdminAugust 5, 2026No Comments1 Min Read14 Views
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    A verifiable autonomous research framework via Chain-of-Evidence
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    Chain-of-Evidence: A framework for verifiable research

    The CoE is a conceptual framework that defines what makes a research artifact trustworthy, much as ACID defines what makes a database transaction reliable. Rather than prescribing how to build a research agent, the framework specifies the properties its outputs must have. It follows a single principle with two halves: every claim in a research artifact must carry a recorded evidence chain (completeness), and each chain must genuinely support the claim it is attached to (correctness). A claim may be a reference, a reported number, a method description, or a conclusion, that must link back to corresponding evidence, such as a peer-reviewed paper, an experimental log line, the code that actually ran, or the results table.

    A hallucinated reference points to a paper that does not exist. An unreproducible score does not reappear when the code is re-run. A misdescribed method claims one algorithm in the paper while the code implements another. Each is a claim whose chain back to its evidence is broken; the CoE Audit makes these breaks measurable.



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