This report synthesises findings from 12 peer-reviewed papers addressing the following research question: How does the inference throughput of XSimGCL compare to traditional graph contrastive learning baselines when scaled to billion-edge user-item graphs. 12 claims were extracted from source literature; 11 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.7/10. This report is a machine-generated literature synthesis and does not constitute original research.Research goal: How does the inference throughput of XSimGCL compare to traditional graph contrastive learning baselines when scaled to billion-edge user-item graphs?Autonomous literature synthesis. Automated review score: 8.7/10. Full text and citation available at Assignee Research.