Replication package: Would an AI reference recommender have found what information scientists cited? A temporally split benchmark across 45 years of Journal of Information Science

Version 1.0.1 corrects the pipeline figure label (rank fusion instead of the prototype ranker) and records the archive DOI in the README. Replication package for a study that tests whether AI reference recommenders recover the references that information scientists actually cited. The benchmark is built from every machine-readable reference list in Journal of Information Science (1979–2026), retrieved from the public OpenAlex API on 2026-11-03. Contents: benchmark construction and evaluation code; configuration and seeds; per-query metrics, bootstrap intervals, paired tests, ablations, robustness checks, error analysis and six figures; data manifest; README with reproduction instructions. Scope: 2,315 citing articles, 54,073 candidate works and 71,473 positive citation pairs; 545 test articles from 2021 onward. Systems: BM25, TF-IDF, BGE-small, a bibliometric heuristic and reciprocal rank fusion. Licence: code MIT; documentation, derived aggregates and figures CC BY 4.0; source metadata CC0 1.0 (OpenAlex). Raw abstract text is not redistributed.