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An Agentic Evaluation Framework for AI-Generated Scientific Code in PETSc
While LLMs have accelerated scientific code generation, comprehensively evaluating generated code remains challenging. Many benchmarks emphasize functional correctness or task completion, which is insufficient for code built on production HPC libraries, where solver selection, API conventions, memor
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