Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:25:47.335559Z
Paper Citation Record · LEDGER
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions
As of 10 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 2 inbound Pith citation observations for arXiv:2502.00339.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:39:55.090976Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:50:38.328658Z
Reference resolution
4 of 4 outbound references displayed
- verified exact0
- verified fuzzy2
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1c1ca3b4-1f42-4a36-9205-e05eb007da9c · outbound
This paper cites LLM-Enhanced multimodal detection of fake news.
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions LLM-Enhanced multimodal detection of fake news
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:25:47.404575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6fd7c71d-305a-48fe-96be-456cb247b3c2 · outbound
This paper cites Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection.
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:25:47.327682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4352e8d8-4daa-4ae5-a279-8d33b3d08301 · outbound
This paper cites Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks.
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T19:25:47.392322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5b5d1aa7-fc67-42b1-8b60-56b4f3dea203 · outbound
This paper cites Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF.
Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:25:47.335559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 01cce3d6-94b9-4c10-aaef-637ac03e3f44 · inbound
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit cites this paper.
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:39:55.090976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8109cd7-f4e9-40d0-ac3c-7d0457900a3b · inbound
ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction cites this paper.
ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:50:38.331450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.