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Preprint . 2025
License: CC BY
Data sources: ZENODO
https://doi.org/10.2139/ssrn.5...
Article . 2026 . Peer-reviewed
Data sources: Crossref
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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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AI, Open Platforms, and the Epistemic Future of Peer Review

Authors: Huang, Jim Yongzhi;

AI, Open Platforms, and the Epistemic Future of Peer Review

Abstract

This paper examines how emerging AI-mediated verification systems and open scholarly platforms are reshaping the epistemic foundations of academic peer review. It argues that traditional approval-based review mechanisms are increasingly misaligned with framework-based and structurally verifiable research, and proposes a layered verification model distinguishing between structural validation and human judgment. The paper contributes to the broader framework of Fiscal Epistemology by analyzing peer review as an epistemic infrastructure governing acknowledgement, verification, and legitimacy in knowledge production.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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