Paper Citation Record · LEDGER

Fake News Detectors are Biased against Texts Generated by Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2309.08674.

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

pith.paper-citation-record.v1
2309.08674 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:00:22.639255Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:03:24.027669Z

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 d028ab3e-c41f-48fc-8d55-8d7ad9a59c56 · inbound

COMPKE: Complex Question Answering under Knowledge Editing cites this paper.

COMPKE: Complex Question Answering under Knowledge Editing Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:00:22.639255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be9f7dfd-bd83-4713-84a6-a3941d1dca4e · inbound

Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection cites this paper.

Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:55.131429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200114a8-f2d1-481a-942f-432428db3cd2 · inbound

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

The Compositional Architecture of Regret in Large Language Models Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:45.984950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edf28b84-ed17-42d5-b56d-bfd40c3dd99f · inbound

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

Tailored untruths: How personalisation challenges LLM safeguards Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T09:55:53.586912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2946e0cb-2b6a-4ccd-ac9a-92051f7fa9a3 · inbound

Are LLMs More Skeptical of Entertainment News? cites this paper.

Are LLMs More Skeptical of Entertainment News? Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:46:00.862627Z

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.

Observation cf42e826-15f3-4bcc-92b2-b70adcbbc2ce · inbound

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection cites this paper.

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:08:04.912061Z

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.

Observation ee02dd31-a21e-4ace-8ddf-94ca28a9dc84 · inbound

Multi-Adapter Representation Interventions via Energy Calibration cites this paper.

Multi-Adapter Representation Interventions via Energy Calibration Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:03:24.029387Z

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.

Observation e0e85f2c-85f4-4c56-81f7-66c3667ebcef · inbound

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

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability Fake News Detectors are Biased against Texts Generated by Large Language Models

Reference 168

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.