This report synthesises findings from 10 peer-reviewed papers addressing the following research question: What is the comparative robustness of novel generative evaluation metrics versus traditional F1-scores when assessing model performance on progressively sparsified tabular datasets. 9 claims were extracted from source literature; 9 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: What is the comparative robustness of novel generative evaluation metrics versus traditional F1-scores when assessing model performance on progressively sparsified tabular datasets?Autonomous literature synthesis. Automated review score: 8.7/10. Full text and citation available at Assignee Research.