Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.01787.
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 2026-07-14T23:48:38.098404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:10:59.439221Z
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 755c4a05-1fe2-4973-aba3-959e65941c6b · inbound
Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data cites this paper.
Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T23:48:38.098404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66bd00de-e707-4386-8fd2-a0b54226c58e · inbound
TRUST Agents: A Collaborative Multi-Agent Framework for Fake News Detection, Explainable Verification, and Logic-Aware Claim Reasoning cites this paper.
TRUST Agents: A Collaborative Multi-Agent Framework for Fake News Detection, Explainable Verification, and Logic-Aware Claim Reasoning LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:10:59.445096Z
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.