{
  "id": 9243496,
  "title": "GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement",
  "url": "https://urgent.news/2026/09/22/gitscholar-a-dataset-for-predicting-ai-research-impact-from-github",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T13:03:31.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.26361v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "With the rapid pace of AI research and the hundreds of daily new publications, staying up-to-date with the latest developments has become increasingly difficult. For researchers, quickly identifying impactful work is essential, yet manually reviewing each new publication is impractical. Automated impact prediction methods help address this challenge, usually by combining various information…",
  "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."
}