September 2026Unreviewed
The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing
Chenguang Wang, Ming Li, Adebayo Braimah, Chenrui Fan, Tuo Wang, Weijie Guan, Ruiyi Zhang, Tianyi Zhou, Dawei Zhou
Abstract
Generative and agentic AI are reshaping both the production and evaluation of scientific research. These developments are often studied separately, as questions of how AI can produce research and how AI can review it. We argue that this separation misses an increasingly important feature of scholarly publishing: changes on one side alter the incentives, constraints, and behavior of the other. We synthesize 230 scholarly publications and institutional records using a taxonomy of six connected dyn
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Cite
@misc{wang2026emerging,
title = {{The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing}},
author = {Chenguang Wang and Ming Li and Adebayo Braimah and Chenrui Fan and Tuo Wang and Weijie Guan and Ruiyi Zhang and Tianyi Zhou and Dawei Zhou},
year = {2026},
month = sep,
eprint = {2609.07713},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.07713}
}