A real example: what you get

All 4 references have a problem to fix or check; in 2 sentences, the cited paper may not say what it is cited for.

  • Final publication available (1)
  • Duplicate (1)
  • Incomplete entry (2)
  • Reference unresolved (2)
  • 2 corrected BibTeX entries, ready to paste
  • 3 citations checked against the papers they cite
  • 1 cited key missing from the .bib
  • A follow-up of your references until your paper is published
A citation the cited paper contradicts
Lewis et al. found that adding retrieved passages made the generated answers less specific and less factual than those of a parametric-only model [lewis2020].

→ The paper reports that retrieval-augmented models generate more specific and factual language, the opposite of the draft's claim.

Its source For language generation tasks, we find that RAG models generate more specific, diverse and factual language than a state-of-the-art parametric-only seq2seq baseline. — Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
A corrected entry

journal: arXiv preprint arXiv:1810.04805 → Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · year: 2018 → 2019 · pages: + 4171-4186

devlin2019

The first results

  1. devlin2019 · BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Final publication available
  2. brown2020b · Language models are few-shot learners Duplicate, Incomplete entry
  3. vaswani2017 · Attention is all you need Reference unresolved
  4. karpukhin2020 · Dense Passage Retrieval for Open-Domain Question Answering Reference unresolved, Incomplete entry

Measured in November 2026 on 52 citations annotated by hand: no false alarm and no miss, in English and French. An easy test set, which does not replace a check on your own manuscript.

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