ATLAS Latency Scaling in Large-Scale Real-Time Recommendation Graphs

This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How does the latency overhead of ATLAS scale with increasing graph size for real-time recommendation tasks relative to distributed GNN inference frameworks. 8 claims were extracted from source literature; 8 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the latency overhead of ATLAS scale with increasing graph size for real-time recommendation tasks relative to distributed GNN inference frameworks?

Autonomous literature synthesis. Automated review score: 8.5/10. Full text and citation available at Assignee Research.