The Knowledge Layer Model (KLM): Evidence-Visible AI Output, Routing Diagnostics, and Negative Results
Read the original on arXiv Computation and Language →The paper introduces the Knowledge Layer Model (KLM), an open, implementation‑neutral specification for recording inference details, including versioned epistemic assessments, evidence relations, and explicit unknowns. A reference implementation, SEDIM, is provided, and the authors report internal experiments: a routing benchmark achieved 91.3% accuracy across 15 classes, a native‑model weight‑path test failed all 15 cases, and diagnostic metrics such as AUC were below acceptable thresholds. The study notes that evidence visibility alone does not guarantee correctness or compliance, and calls for independent replication and a full public audit package.
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