12,445 papers · continuously updated · last export: 10 Aug 2026livingmeta.ai
← Browse all papers
Research theme

Citation Integrity

The Citation Integrity theme comprises 243 papers in this corpus published between 1963 and 2026. Work here is dominated by Empirical Study, Benchmarking, Content Analysis. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Empirical Study64 (26%)
  • Benchmarking27 (11%)
  • Content Analysis22 (9%)
  • Literature Review22 (9%)
  • Position Paper18 (7%)
  • Experimental15 (6%)

Research domains

  • Research Integrity180 (74%)
  • Scholarly Infrastructure30 (12%)
  • Knowledge Synthesis10 (4%)
  • Peer Review7 (3%)
  • Academic Writing6 (2%)
  • Literature Discovery3 (1%)

Frequent sub-topics

citation formats in generative AI output · 1AI-generated academic citations accuracy · 1AI disclosure trends in corporate filings · 1citance segmentation and reliability in citation analysis · 1AI training datasets, copyright, literary works, data appropriation · 1knowledge distortion through translation and citation failures · 1LLM-generated letter-bombing and bibliometric manipulation in medical journals · 1provenance in multi-hop QA, citation fidelity, source attribution · 1

Open research gaps

  • Lack of sentence-level attribution benchmarks for scientific domains
  • Need for domain-specific training in LLMs to meet specialized field requirements
  • Integration of knowledge graph representations and graph-theoretic retrieval approaches for more reliable source attribution
  • Evaluation of LLMs on mathematics, statistics, and physics papers (excluded from current study)
  • Development of explicit reasoning mechanisms similar to the Toulmin model within retrieval-augmented frameworks

Representative papers

← Browse all papersPriority research agenda →