{
  "id": 10322,
  "url": "https://arxiv.org/abs/2607.11111",
  "title": "Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution",
  "summary": "LLM-based coding agents have significantly advanced automated software issue resolution, yet they remain highly prone to factual errors caused by insufficient repository understanding. Recent methods attempt to mitigate this limitation through pre-repair repository exploration; however, their fix-driven strategies explore repositories without identifying the agent's knowledge gaps, often yielding imprecise context that fails to bridge the underlying understanding deficit. In this paper, we propo",
  "authors": "Haotian Lin, Silin Chen, Xiaodong Gu, Yuling Shi, Chengxi Pan, Jiaqi Ge",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T20:00:00.000Z",
  "fetched_at": "2026-07-15T05:10:55.633Z",
  "source_slug": "hf-daily",
  "source_name": "HuggingFace Daily Papers",
  "source_homepage": "https://huggingface.co/papers",
  "ethics_ai_record_url": "https://ethics.ai/record/10322",
  "original_url": "https://arxiv.org/abs/2607.11111",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}