Researchers at Purdue University published a technical paper titled “DRC-Aid: Design-Rule Correction via Agentic Framework utilizing Inference-Time Large Language Models.” According to an abstract excerpt, the work presents DRC-Aid, a closed-loop agentic framework that automates local DRC repair by formulating it as verification-in-the-loop search. To constrain the combinatorial geometric repair space, a deterministic Rule Engine converts physical verification tool-reported violations into a bounded menu of geometric edits. The paper is by Anushka Mukherjee, Kang He, and Kaushik Roy, and appears as arXiv preprint arXiv:2607.22761, dated July 2026, with the DOI https://doi.org/10.48550/arXiv.2607.22761.