Anlu: Enabling In-Context Time Series Anomaly Detection in Foundation Models via Counterfactual Supervision

arXiv:2610.06180 · cs.LG, cs.AI · Submitted 2026-10-05 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-10-05

Updated: 2026-10-05

Project page: https://thedatumorg.github.io/TSB-AD/static/leaderboard/TSB-AD-updated.html

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes

Sources

• Chronos: Learning the Language of Time Series
• A decoder-only foundation model for time-series forecasting
• In-Context Fine-Tuning for Time-Series Foundation Models
• MOMENT: A Family of Open Time-series Foundation Models
• Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
• A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
• Unified Training of Universal Time Series Forecasting Transformers

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