Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.08444.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:50:07.286608Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T14:50:07.414927Z
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 f92eaf3e-58be-4184-8118-0f7237369bd6 · inbound
The 2021 Tokyo Olympics Multilingual News Article Dataset cites this paper.
The 2021 Tokyo Olympics Multilingual News Article Dataset NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T14:50:07.418992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea618e11-cf0d-4687-b448-1dcbcb2fd483 · inbound
On the Effectiveness of Fact Checking Information from Politically Congruent and Incongruent Large Language Models cites this paper.
On the Effectiveness of Fact Checking Information from Politically Congruent and Incongruent Large Language Models NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Reference 225
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:37:37.878951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.