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empirical-paper-workflow

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UpdatedJune 11, 2026 at 10:38

AI 辅助微观数据实证论文的写作、修订与审校工作流(含防失真铁律)。Use when writing, revising, or reviewing an empirical/quantitative academic paper (esp. Chinese social-science papers using microdata like CFPS/CHFS/CGSS), when the user asks to 写论文、改论文、审稿、审阅论文、查数据失真、核对参考文献, or when adding robustness checks / citations during revision. Covers the full pipeline (规则内化→数据→回归→成文→修订→审校) and a three-pass integrity review (data replication, citation verification, typography).

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