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Paper Citation Record · LEDGER

Adapting Fake News Detection to the Era of Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.04917.

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

pith.paper-citation-record.v1
2311.04917 v2

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 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:21:34.243058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:50:38.348834Z

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 9f5ae4d1-bace-4f91-897e-2785fb006114 · inbound

A Self-Learning Multimodal Approach for Fake News Detection cites this paper.

A Self-Learning Multimodal Approach for Fake News Detection Adapting Fake News Detection to the Era of Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T20:21:34.243058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:21:34.243058Z digest=sha256:b66f1ac59fa44d1ad954c3ad1656282ac23c1ecc57d3436f1a539a7584db005b

Observation b016bacd-fa6d-47d1-980a-691e752e040b · 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 Adapting Fake News Detection to the Era of Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:43.346546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:43.346546Z digest=sha256:f94ac6a8b54314558b84a69f67476336a190c80a7b962e6c6514033d1717a24c

Observation f24fc592-3951-4ff0-9fcb-6e82e1d4c377 · inbound

A New Incentive Model For Content Trust cites this paper.

A New Incentive Model For Content Trust Adapting Fake News Detection to the Era of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:30.621189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:30.621189Z digest=sha256:9547bbbcef5ec23f0fadd411020825dcf1762990792fbb3c02a77a3ca8e673e6

Observation 38a81247-ed33-4905-bf0f-f234bd5502e9 · inbound

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions Adapting Fake News Detection to the Era of Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T17:04:33.422245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:04:33.422245Z digest=sha256:18ecbc69ec6cbd0153a1d7c09597cb4da02618e0878d67861b644c207623de5f

Observation 59d25c4b-e13c-4e35-8aac-9ef3f541765a · inbound

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction cites this paper.

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction Adapting Fake News Detection to the Era of Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:50:38.351928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-18T01:47:35.232468Z digest=sha256:a51e721e2fdd78d4a7ae6e426fd31ce829ff1067998e0db70a23749e181ecd9e

Observation 7c92e4e7-0d9a-4e04-aa81-99e0bbf07ce0 · inbound

Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News cites this paper.

Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News Adapting Fake News Detection to the Era of Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:13:01.282225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T17:10:42.497004Z digest=sha256:843597383c0347b57c50e96f86c0147c1445a0226b856d12a31cb2159eb05e97