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Paper Citation Record · LEDGER

Combating Misinformation in the Age of LLMs: Opportunities and Challenges

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.05656.

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

pith.paper-citation-record.v1
2311.05656 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:23:53.135353Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

20
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cf5c07ee-b043-4d28-956b-33e0133c6be4 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.088304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:1dbf22ad6424b3492b16e5662cf5a18be224b5b9540c57b9b136fb3fde9fde35

Observation f0fe0f8b-5f0a-49bf-88e5-4a01939f063c · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.409989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:f5b3825fa2dccc98b763bb859143a0d57ebc59ece31c24724e8caa4dee967483

Observation c1ea7332-820e-4f21-ae94-8786d5909a9c · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:55:49.904631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:61c4d1a827245afae3d689a14893f118e2390df08eed2e2ce4212899ff339fc3

Observation 842918b6-94cd-4d74-b68f-1da6a9177bd9 · inbound

Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications cites this paper.

Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:53:19.154565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T17:49:21.098232Z digest=sha256:859eb5a4d41b1e4fec01ab253a587bbf536106723ed09170290c04367d90b289

Observation 8ad268bc-d774-419e-84ce-b494f31b1700 · inbound

Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication cites this paper.

Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T23:23:53.135353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:23:53.135353Z digest=sha256:1b6ce0362af7fdc0f7798d016acb8262b8c89583a3aa1a1e86b4d612731051ec

Observation c766cd95-e820-4d86-9ea0-4589e519f367 · inbound

Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification cites this paper.

Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:59.526678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:46:59.526678Z digest=sha256:9b903ada879d065fc2786e866b882a66a0869a2deac11848f7ef0f2cd2a39fed

Observation 4d83b976-9687-4f93-bfcc-41c32d681fff · 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 Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:56:24.501978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T12:54:01.717015Z digest=sha256:7a67d16df4661fbdc67bfdf7dd87aa8f80c85071f035f11501f91e815e559257

Observation d235c90f-6a0e-4d20-b7af-babeed6de1e9 · 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 Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:13:01.271274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:10:42.497004Z digest=sha256:4c6599e146109ab462a4008ec8cad89911d178200bbf7418220776188fcef4be

Observation 93dc3229-47f1-49e5-8272-8944f8fc9cc2 · inbound

Calibrated Selective Fact-Checking via Evidence Chain Evaluation cites this paper.

Calibrated Selective Fact-Checking via Evidence Chain Evaluation Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T16:18:11.554728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T16:18:11.554728Z digest=sha256:ea97a606c58db81f9579d67121f4efdcf0a5b7645d25c362ca69dd566ff3b8b0