Retrieval-Augmented Generation for Scientific Code Understanding
arXiv:2609.12190v1 Announce Type: cross Abstract: Large language models have become central to modern coding assistants, but state-of-the-art systems such as Claude Code or Codex rely on very large, cloud-hosted models with significant computational cost and data-privacy implicat