This report synthesises findings from 1 peer-reviewed paper addressing the following research question: How do Llama3 and Codestral compare in zero-shot cross-lingual code vulnerability identification accuracy when evaluated on mixed C++ and Python datasets. 12 claims were extracted from source literature; 12 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 9.0/10. This report is a machine-generated literature synthesis and does not constitute original research. Research goal: How do Llama3 and Codestral compare in zero-shot cross-lingual code vulnerability identification accuracy when evaluated on mixed C++ and Python datasets? Autonomous literature synthesis. Automated review score: 9.0/10. Full text and citation available at Assignee Research.

Machine-generated literature synthesis. Content is derived from peer-reviewed papers; see individual sources for authoritative data. Automated review score: 9.0/10. Published by Assignee Research (https://assignee.net).