The topic originates from a 2025 study on Detecting LLM-Generated Peer Reviews . Researchers developed a watermarking system that uses fabricated citations to flag reviews created by AI instead of human experts.
: It has proven effective even against common "reviewer defenses," such as light editing or rephrasing. 109989
: By injecting these "hidden instructions" into a paper's PDF, editors can detect if a reviewer used AI. If the generated review begins with one of these 109,989 unique citations, it is statistically likely to be AI-generated. Review of the Framework The topic originates from a 2025 study on
As a tool for academic integrity, this framework offers several notable advantages and limitations based on the study findings : : By injecting these "hidden instructions" into a
Based on recent research regarding the detection of AI-generated content, refers to a specific dataset of 109,989 possible watermarks used to identify peer reviews written by Large Language Models (LLMs). Overview of Topic 109989
: The system prompts an LLM to start its review with a specific phrase, such as: "Following [Surname] et al. ([Year]), this paper..." .