
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.
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
