Author

L. G. O. Lopes

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Preprint Aug 2026

An Explainable LLM Agent Layer for Open-World Anomaly Detection in Oil Wells

A Large Language Model (LLM) agent layer placed downstream of the OWL pipeline is evaluated, designed as a companion to the published upstream methods rather than a replacement, to close the explainability gap that currently blocks deployment of OWL pipelines in operational settings.

L. G. O. Lopes, Thales Miranda de Almeida Vieira, E. T. de Lima et al. · 0 citations