SPIN Unprocessed October 27, 2026 ai_technology research
CuraLoc: Repository-Level Fault Localization via Planned Code Inspection
View original on arxiv.orgOverview
arXiv:2610.31809v1 Announce Type: new Abstract: A bug report describes what went wrong, but rarely where the code should change. Existing repository-level localization methods often let language models iteratively decide what code to inspect next, requiring repeated model calls and substantial token usage. We investigate whether these inspection decisions can instead be planned before source retrieval. In this research, we introduce CuraLoc, which first selects candidate files and represents the
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Machine Learning
View all →- Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design
- Cautious Conflict-Free Inverse Gradient Methods
- Rethinking Multi-View Fusion for Urban Representation Learning
- Speculative Diffusion is a Tale of Two Tradeoffs
- Nested Sparsity for Scalable Pretraining and Continual Learning
- PaperScorer: How Predictable Is Paper Acceptance?
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO