Local Citation Recommendation Without Graph Signals
Resolving correct citations can be a time-consuming task for research writers. We address local citation recommendation (LCR), where the goal is to retrieve appropriate references for a given sentence. Web tools generally depend on the existing citation graph, which may bias results toward citation count or more recent publications. LCR research using full paper texts has been limited by the lack of publicly available data. We present a new dataset, the Local Citation Recommendation Corpus (LCRC), containing 14,735 scientific statements derived from astrophysics review papers, each with one or more citation targets whose full text is accessible via API. Using this dataset we systematicall...
| Authors | Benjamin Basseri, Pavlos Protopapas, Kemeng Zhang et al. |
|---|---|
| Primary category | cs.IR |
| Published | 11 October 2026 |
| Last updated at source | 11 October 2026 |
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