Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback

ArXi:2507.15066v5 Announce Type: replace-cross Time series anomaly detection (TSAD) has traditionally focused on binary classification and often lacks the fine-grained categorization and explanatory reasoning required for transparent decision-making. To address these limitations, we propose Time-series Reasoning for Anomaly (Time-RA), a novel task that reformulates TSAD from a discriminative into a generative, reasoning-intensive paradigm. To facilitate this, we