Self-Distilled vs. Contrastive Pretraining Latency in Time-Series Anomaly Detection

This report synthesises findings from 14 peer-reviewed papers addressing the following research question: How does the inference latency of self-distilled time-series models compare to contrastive pretraining methods on standard anomaly detection benchmarks. 10 claims were extracted from source literature; 10 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.8/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the inference latency of self-distilled time-series models compare to contrastive pretraining methods on standard anomaly detection benchmarks?

Autonomous literature synthesis. Automated review score: 8.8/10. Full text and citation available at Assignee Research.