A new study formalizes numerical analysis using coding agents, addressing gaps in existing mathematical libraries. The research introduces a comprehensive framework for evaluating formalization quality beyond simple acceptance metrics. This could lead to improved methodologies in autoformalization systems and better mathematical accuracy. The findings highlight the limitations of current evaluation methods, suggesting a need for more rigorous standards.