RenoBench: A Citation Parsing Benchmark
Accurate parsing of citations is necessary for machine-readable scholarly infrastructure. But, despite sustained interest in this problem, existing evaluation techniques are often not generalizable, based on synthetic data, or not publicly available. We introduce RenoBench, a public domain benchmark for citation parsing, sourced from PDFs released on four publishing ecosystems: SciELO, Redalyc, the Public Knowledge Project, and Open Research Europe. Starting from 161,000 annotated citations, we apply automated validation and feature-based sampling to produce a dataset of 10,000 citations spanning multiple languages, publication types, and platforms. We then evaluate a variety of citation ...
| Authors | Parth Sarin, Juan Pablo Alperin, Adam Buttrick et al. |
|---|---|
| Primary category | cs.DL |
| Published | 26 March 2026 |
| Last updated at source | 31 May 2026 |
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