Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.04567.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:43:23.397953Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T14:36:08.125756Z
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 b15bb3fa-d091-4579-a8f8-6b4dcf8df2da · inbound
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment cites this paper.
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:43:23.397953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dc17479-0d3e-47ac-ac76-d2d2e381286c · inbound
Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives cites this paper.
Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Reference 198
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T01:04:50.247455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ba519bf3-4077-4b3e-a5bc-923ecad167ce · inbound
When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation cites this paper.
When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:36:08.132343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 67df0211-e681-4110-82a2-2efedfe7c878 · inbound
Stop using Media Bias/Fact Check in research cites this paper.
Stop using Media Bias/Fact Check in research NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:43:29.992204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ef5099b-7a4d-4eb6-ad12-99a7734a46a3 · 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-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Reference 263
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:37:37.986392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.