arXiv Machine Learning By Sabina-Cristiana Necula

Can Coding Agents Reproduce Official Statistics? Metadata, Retry Budget and the Limits of Execution Feedback in a Controlled Eurostat Benchmark

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The paper investigates whether large language models can reliably reproduce official Eurostat statistics by generating executable code. It evaluates a coding agent across four experimental conditions—task only, task plus metadata, metadata with a repair loop using execution feedback, and metadata with a retry budget but no diagnostics—using 30 natural‑language tasks spanning seven domains and datasets. Results show that success depends on semantic validation against frozen specifications, a fully specified output contract, and a retry budget, rather than on execution diagnostics alone.

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