arXiv cs.LG
· Papers
An Explainable LLM Agent Layer for Open-World Anomaly Detection in Oil Wells
arXiv:2608.04041v1 Announce Type: new Abstract: Open-World Learning (OWL) pipelines for oil well anomaly detection have recently been shown to combine autoencoder-based detection, multiclass classification, and Mahalanobis-based novelty detection on the public 3W dataset. These pipelines answer textit{what happened},