Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis
规模化复现:人工智能辅助的大规模复现与再分析流程
Computational reproducibility is central to scientific credibility, yet verifying published results at scale remains costly. We develop an AI-assisted workflow for automated full-paper replication -- retrieving materials, reconstructing environments, executing code, and matching outputs to point estimates reported in regression tables. We define a universe of all empirical and quantitative papers from the three top political science journals (2010--2025) and measure stated…