AI RESEARCH
Reconnecting Fragmented Citation Networks with Semantic Augmentation
arXiv CS.AI
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ArXi:2605.12263v1 Announce Type: cross Citation graphs are fundamental tools for modeling scientific structure, but are often fragmented due to missing citations of scientifically connected articles. To address this issue, we propose a computationally efficient hybrid framework integrating citation topology with large language model (LLM)-based text similarity.