AI RESEARCH
LLM-Metrics: Measuring Research Impact Through Large Language Model Memory
arXiv CS.AI
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ArXi:2605.22176v1 Announce Type: new Citation counts remain the dominant metric for assessing research impact, yet they suffer from well-documented limitations: temporal lag, disciplinary bias, and Matthew effects. Here we propose LLM-Metrics, a research-impact assessment metric derived from the parametric memory of large language models (LLMs). The central hypothesis is that high-impact papers receive greater exposure in the academic community, that this exposure enters