AI RESEARCH
Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers
arXiv CS.CL
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ArXi:2603.06862v1 Announce Type: cross Artifact Evaluation (AE) is essential for ensuring the transparency and reliability of research, closing the gap between exploratory work and real-world deployment is particularly important in cybersecurity, particularly in IoT and CPSs, where large-scale, heterogeneous, and privacy-sensitive data meet safety-critical actuation. Yet, manual reproducibility checks are time-consuming and do not scale with growing submission volumes.