Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FELM: Benchmarking Factuality Evaluation of Large Language Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.00741.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:35.442979Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T12:56:24.475550Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f24bea38-ebb2-4a4d-a456-cf5a7b856883 · inbound
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions FELM: Benchmarking Factuality Evaluation of Large Language Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:46:27.452995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f67ea904-82ad-45f6-96fe-888ce408dc48 · inbound
Measuring short-form factuality in large language models cites this paper.
Measuring short-form factuality in large language models FELM: Benchmarking Factuality Evaluation of Large Language Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T06:45:50.295212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d7b2f14d-b2d5-4eff-90e9-e66ef016ccdf · inbound
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation cites this paper.
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation FELM: Benchmarking Factuality Evaluation of Large Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:41:35.442979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 813cdce5-ddb9-4dbc-b57a-58910839ddd6 · inbound
Beyond Facts: Evaluating Intent Hallucination in Large Language Models cites this paper.
Beyond Facts: Evaluating Intent Hallucination in Large Language Models FELM: Benchmarking Factuality Evaluation of Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:59:43.265833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b10f13f3-359f-49e1-b274-876e00aa10c5 · inbound
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations cites this paper.
ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations FELM: Benchmarking Factuality Evaluation of Large Language Models
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:56:24.477667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2f05b71f-d49a-43e9-9018-d26af0e805ae · inbound
HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification cites this paper.
HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth Verification FELM: Benchmarking Factuality Evaluation of Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:47:41.336316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.