Matrix spillover detection plays a vital role in maintaining the integrity of large language models (LLMs). Emerging trends in artificial intelligence have created unprecedented opportunities for efficiently identifying matrix spillover, a phenomenon where content across different matrices of a model leaks. AI-driven methods leverage computational