Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.08035.
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 2026-08-11T12:56:10.974137Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T23:48:38.923750Z
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 985cc949-c85d-491c-8a7e-54a9132b1845 · inbound
Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities cites this paper.
Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
Reference 253
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T23:48:38.927658Z
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 26f74ea3-3f3d-4eaa-a854-fbff973a6c22 · inbound
Towards Efficient and Explainable Hate Speech Detection via Model Distillation cites this paper.
Towards Efficient and Explainable Hate Speech Detection via Model Distillation Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:56:10.974137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76ce917d-8a1b-4368-99b9-26da05bcc946 · inbound
Extracting Participation in Collective Action from Social Media cites this paper.
Extracting Participation in Collective Action from Social Media Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:48:27.117682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.