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Paper Citation Record · LEDGER

From Deception to Detection: The Dual Roles of Large Language Models in Fake News

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.17416.

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

pith.paper-citation-record.v1
2409.17416 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:45.179301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T12:55:37.975746Z

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 f2dc8bcf-972c-40ee-bc98-0ff803356442 · inbound

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

Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation From Deception to Detection: The Dual Roles of Large Language Models in Fake News

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:45.179301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:45.179301Z digest=sha256:94dde78a2bc4f5e763b3d89442f9607ed30352e306f86f1fd9d82ed5d7da7300

Observation 8756fffc-4a99-4c9d-ad14-ba5ec24c876d · inbound

ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation cites this paper.

ChartAttack: Testing the Vulnerability of LLMs to Malicious Prompting in Chart Generation From Deception to Detection: The Dual Roles of Large Language Models in Fake News

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T09:45:31.213413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:45:31.213413Z digest=sha256:c48a95ee9d43eb97774f4b6f0d1156f7eeae82c3615f33116a36f3293114f69d

Observation 2c3eddfa-8eb9-4429-8e6b-110ccd417e64 · inbound

CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing cites this paper.

CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing From Deception to Detection: The Dual Roles of Large Language Models in Fake News

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:55:37.978234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T12:52:00.086156Z digest=sha256:dd878a70ba792e8588b0d2ef12a3a614351c5ac86b11b77c177dd6847cfc80d3

Observation 1a140eec-4d6f-4041-a774-7cd52f7fa5ee · inbound

Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability cites this paper.

Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability From Deception to Detection: The Dual Roles of Large Language Models in Fake News

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-11T21:58:20.755128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T21:58:20.755128Z digest=sha256:8426e1f29cb395dfdd3cb4b2f1cdd7b93139ea2ac5a198e7439ba26129355414

Observation 4a61cda9-e284-41c8-9674-685682ad3530 · inbound

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability cites this paper.

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability From Deception to Detection: The Dual Roles of Large Language Models in Fake News

Reference 152

Resolution
unresolved
no resolver link, observed 2026-07-14T12:01:22.824663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:01:22.824663Z digest=sha256:947a29629dcf6d5ebce28894f449487fd63a46a980dbdbf01edd4694a278ba40

Observation 6c4542fb-19bf-4eaf-999c-81e1001c1ea0 · 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? From Deception to Detection: The Dual Roles of Large Language Models in Fake News

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T00:08:45.420668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:08:45.420668Z digest=sha256:e6ba450daa6ea96b0b816f4dc72be64b81a44fb2632117590a053f3a7fbd16c2