Nannan Zhao, Jiameng Zhang, Taoyu Zhong, Hao Wang, Bo Wang · 2026 · arXiv
DOI: 10.48550/arXiv.2610.25108 · open-access PDF
存储级检索扩展生成系统必须将矢量索引与不断演变的代码同步,但对于决定哪些更改的代码单元实际上需要新的嵌入没有原则依据。我们询问,在将该嵌入计算之前,是否可以预测代码更改的检索影响。在Python、Go和JavaScript的10个开源存储库中,我们描述了变化如何从语法实质性传播到嵌入迁移到检索影响。
Machine translation (Meta M2M100); the English original follows.
Repository-level retrieval-augmented generation systems must keep vector indexes synchronized with continuously evolving code, yet there is no principled basis for deciding which changed code units actually need new embeddings. We ask whether the retrieval impact of a code change can be anticipated before that embedding is computed. Across 10 open-source repositories in Python, Go, and JavaScript, we characterize how a change propagates from syntactic substantiality through embedding displacement to retrieval impact. The links are informative but not deterministic: syntactic class separates di
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