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Current industry practices address execution-free code validation through two principal strategies. The initial method employs unstructured language model assessors that attempt to validate code either directly or by training specialized language models as scoring systems to simulate test results. The significant limitation involves their dependence on unstructured logic, permitting models to assert definitive statements about code functionality without explicit rationale. Without systematic limitations, ensuring comprehensive analysis rather than speculation based on surface-level indicators like routine names becomes challenging.