{
  "id": 18366,
  "url": "https://arxiv.org/abs/2608.10715",
  "title": "Most biomedical publications show signs of LLM-assisted writing",
  "summary": "arXiv:2608.10715v1 Announce Type: cross Abstract: Over the past several years, LLM-powered chatbots and agents have become widely used as a tool for academic writing. LLM-assisted writing can be valuable by removing language barriers but at the same time causes concerns about misconduct and fraud. To inform policy decisions, it is necessary to monitor the prevalence of LLM-altered texts in scholarly publications. Despite some recent progress in this direction, no existing method can produce reli",
  "authors": "Lena Holzwarth, Rita Gonz\\'alez-M\\'arquez, Dmitry Kobak",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T04:00:00.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18366",
  "original_url": "https://arxiv.org/abs/2608.10715",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}