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Paper Citation Record · LEDGER

Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.18249.

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

pith.paper-citation-record.v1
2403.18249 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:43.902052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:08:23.943329Z

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 c24c9623-2e56-48c4-9928-f692600ae875 · inbound

Auction-Based Regulation for Artificial Intelligence cites this paper.

Auction-Based Regulation for Artificial Intelligence Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:08:23.947918Z

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.

source=arxiv_source observed=2026-05-23T20:06:56.205603Z digest=sha256:4149a3428e8f48850cd73cab6e311e86b31408f48eea973adda1942b01cb81c5

Observation b274f76d-b9fa-4611-aefa-99dab22ebf0b · inbound

Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection cites this paper.

Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:43.902052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:43.902052Z digest=sha256:3c495cced041921e0817afc65baa8c9e112378070a0169484ca841a39c884998

Observation 5ea86b96-ac27-4a07-a49d-aa5c417f8cdb · inbound

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking cites this paper.

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:47.153923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:51:47.153923Z digest=sha256:b42431e241a41dc82138ceeb523a642937023f466b63fce9ea33b96d8ee60e3d

Observation 963b3c51-9391-4af9-a143-a4d7f4c13581 · inbound

The Compositional Architecture of Regret in Large Language Models cites this paper.

The Compositional Architecture of Regret in Large Language Models Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:49.661535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:49.661535Z digest=sha256:c3a19e2124f0ebe1bb22e4a58a50ddaa72b992fae30ca1169b4ff50db3ea1ddc

Observation 90fb8270-7880-4898-a4cc-fe4a38407ac2 · inbound

An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs cites this paper.

An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T01:02:16.253921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:02:16.253921Z digest=sha256:e77cb3953b90c4b60ffb2b5c7bb71103b3b0944677bc9efbf7852ca5480447f7

Observation b1a37fc9-edeb-4ccc-84cb-7311251b5878 · inbound

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection cites this paper.

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T21:55:49.356885Z

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.

source=pdf_text observed=2026-05-10T20:30:53.094207Z digest=sha256:25f33857b33ccaaeaa939bdf6eaa044757360011bca5d2406926aee074cecfe2

Observation 5b74fe2a-da08-480f-9f8e-f7c2c15926db · inbound

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models cites this paper.

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:30.303653Z

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.

source=pdf_text observed=2026-05-07T05:45:47.884668Z digest=sha256:caaf41d9ae01809bb26d1f5918f657dafab6ced69a5039041a7e01a89d79676c