Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This burgeoning field has captured significant interest from both academic researchers and industry professionals due to its practical significance in software development, e.g., GitHub Copilot. Despite the active exploration of LLMs for a variety of code tasks, either from the perspective of natural language processing (NLP) or software engineering (SE) or both, there isResearch goal: How does cross-domain security taxonomy alignment affect the vulnerability detection performance of Llama3, Codestral, and Deepseek R1 when fine-tuned on SecLM, as measured by CWE classification accuracy on an expanded Big-Vul dataset?Autonomous synthesis report generated by SOVEREIGN Research Kernel. Tribunal consensus score: 8.5/10.