Paper Citation Record · LEDGER

FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.05046.

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

pith.paper-citation-record.v1
2310.05046 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:44.765277Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T15:43:53.685207Z

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 312839ab-0914-40cf-b39d-79073a95c52d · inbound

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

Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:44.765277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb127d10-3487-4518-a4fa-cee53b7ea225 · inbound

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks cites this paper.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.766679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ca4c595-e32d-494b-b34d-0641d195f8fa · inbound

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations cites this paper.

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:56:24.489512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7558d50f-0d3a-49eb-91d8-cb8ff6842f6d · inbound

Tailored untruths: How personalisation challenges LLM safeguards cites this paper.

Tailored untruths: How personalisation challenges LLM safeguards FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T09:55:53.434140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75b51f6a-cdd7-416c-a3dc-37a3e34b113c · inbound

Multimodal rumor detection enhanced by external evidence and forgery features cites this paper.

Multimodal rumor detection enhanced by external evidence and forgery features FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T09:05:29.423089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18276b09-b62b-4e1f-8173-3ed4da144d72 · inbound

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking cites this paper.

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:03.207171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 56bdcfdd-5075-401c-bad8-a44a8c90f19c · inbound

ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation cites this paper.

ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:51.209674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 267b7303-9c94-4e73-b4cc-07cfa267f0bb · inbound

Selective Disclosure Watermarking for Large Language Models cites this paper.

Selective Disclosure Watermarking for Large Language Models FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T15:43:53.686468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ee2d63f-fe7c-498a-8dda-ab9e84f60c1b · inbound

GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning cites this paper.

GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T09:35:38.024815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 528d50a1-4a7b-4889-95b2-52ca174414e1 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 124

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:28.916170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.