Paper Citation Record · LEDGER

Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.06584.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.06584 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:05:51.031770Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T00:08:49.954745Z

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 477e967e-ab82-4e52-9322-0277f751a619 · inbound

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation cites this paper.

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:05:51.031770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4fdb5b-236d-4ff1-aafb-7b9db928088f · inbound

Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation cites this paper.

Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:45.047439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0da485f-7972-4df0-bf14-699ac5892fc4 · inbound

Do people rely on ChatGPT more than their peers to detect deepfake news? cites this paper.

Do people rely on ChatGPT more than their peers to detect deepfake news? Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:08:50.077523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d52618b1-de2a-43d4-b462-bf601765dedb · inbound

Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions cites this paper.

Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-08T18:47:38.196949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.