On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses
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
Record details
Published: 10 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Children & education
Retrieved: 10 August 2026
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ethics.ai (10 August 2026), “On Seeding Watermarks to Detect Verbatim LLM Copy-Paste Responses,” evidence record 17770, https://ethics.ai/record/17770 (originally published by arXiv cs.CY).
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