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DeepDiscovery: A Location-Inference Framework for Task-Level Repository Understanding
A new arXiv preprint introduces DeepDiscovery, a framework aimed at helping language models understand large industrial code repositories at the task level. The authors argue that current retrieval approaches surface only isolated fragments and miss broader repository context. The work targets software engineering tasks where whole-repository comprehension matters.