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Honeycutt, Edwin Marshall, III

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#large language models Open access Sep 2026

Pattern Pressure, Accuracy Drift, and False User-State Attribution

Large-language model outputs are often described as "accurate" or "inaccurate" as if a single axis were being measured. This paper argues that the umbrella word accurate collapses at least four distinct fits: fit to user intent, fit to measured fact, fit to source provenance, and fit to the local conversational pattern...

Honeycutt, Edwin Marshall, III · 0 citations

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