{
  "id": 5001687,
  "title": "Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation",
  "url": "https://urgent.news/2026/09/01/adaptive-critical-token-aware-retrieval-for-repository-level-code",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-01T17:59:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.01601v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The repository-level code generation task requires synthesizing code that satisfies task requirements while remaining consistent with the target repository context. Since real-world repositories often exceed the input length limits of LLMs, existing approaches commonly adopt retrieval-augmented generation (RAG) to provide repository-specific context. Despite improving repository-context…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}