AI RESEARCH
In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis
arXiv CS.AI
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ArXi:2505.14838v2 Announce Type: replace-cross 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.