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arXiv · 2505.14838

In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis

Hiba Arnaout·Noy Sternlicht·Tom Hope·Iryna Gurevych
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Abstract

Understanding the impact of scientific publications is crucial for identifying breakthroughs and guiding future research. Traditional metrics based on citation counts often miss the nuanced ways a paper contributes to its field. In this work, we propose a new task: generating nuanced, expressive, and time-aware impact summaries that capture both praise (confirmation citations) and critique (correction citations) through the evolution of fine-grained citation intents. We introduce an evaluation framework tailored to this task, showing moderate to strong human correlation on subjective metrics such as insightfulness. Expert feedback from professors reveals a strong interest in these summaries and suggests future improvements. Data and code are made available.

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Hiba Arnaout, Noy Sternlicht, Tom Hope, Iryna Gurevych. 2025-05-20. In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis. https://arxiv.org/abs/2505.14838

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