Scaling Model Parameters in Time-Series Foundation Models for Anomaly Detection

This report synthesises findings from 13 peer-reviewed papers addressing the following research question: What is the impact of scaling model parameters on the anomaly detection accuracy of masked modeling versus contrastive objectives in time-series foundation models. 11 claims were extracted from source literature; 10 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 7.6/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: What is the impact of scaling model parameters on the anomaly detection accuracy of masked modeling versus contrastive objectives in time-series foundation models?

Autonomous literature synthesis. Automated review score: 7.6/10. Full text and citation available at Assignee Research.