{
  "id": 17770,
  "url": "https://arxiv.org/abs/2605.16336",
  "title": "On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses",
  "summary": "arXiv:2605.16336v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have made fluent essay writing, code drafting, and quiz answering instantly available to students at every level, from secondary school through graduate study. Many educators do not object to LLM use \\emph{per~se}; what they need to detect is the case in which a student pastes the assignment prompt into a chatbot and submits the model's reply verbatim, without engaging with the work. Existing post-hoc AI-text",
  "authors": "Aizierjiang Aiersilan, Artin Yousefi, Robert Pless",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T04:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "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/17770",
  "original_url": "https://arxiv.org/abs/2605.16336",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}