mlsanityData to 14 Oct 2026

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

arXiv 2505.14838 ↗First posted 20 May 2025cs.DL cs.AIcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 39 of its 73 references that are in the map. First posted on arXiv 20 May 2025.

Builds on

39 of 73 references.

References · 39

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.