Citation Pathways in the AI Era: Interpretive Knowledge Nodes, Citation Compression Layers, and the Measurement Boundary of Scholarly Impact
This article identifies "citation pathway" as a long-neglected analytical dimension in scientometrics. Traditional evaluation metrics focus on measuring citation counts while paying insufficient attention to the intermediate nodes through which knowledge flows from its original source to the citing author. Building on an analysis of the normative structure of current reference systems, this article introduces two new concepts: Interpretive Knowledge Nodes (IKN) - academic papers that provide str
Researchers introduce Interpretive Knowledge Nodes and Citation Compression Layers to analyze citation pathways in the AI era. AI transforms the cost structure of producing citable knowledge intermediaries, affecting impact measurement. This changes the network position effects of citation pathways, potentially misaligning incentives.
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