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Paper Citation Record · LEDGER

Combating Misinformation in the Age of LLMs: Opportunities and Challenges

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:26:42.128602Z

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:b152e0aec2f06ca3bf93984ce7dd776a3d5a88731345d0152ce5e62025f31f9e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:afd464205addb83e6f189c4b6f83d9fe096188aae1fe0d0fa00b423a8e774b44

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T21:54:26.670284Z digest=sha256:317902e5c99749a8444723fc740b2919e98219711a209d7b3b675e92ec41b6c5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T17:49:21.098232Z digest=sha256:4c129e3809690a8f07264b2919a61a1b8325dadbb5dc2196ef8d3c9202f73a81

Observation 84e6313d-e978-4ba7-87d3-7fdf2f0f3600 · inbound

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data cites this paper.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T12:26:42.128602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:26:42.128602Z digest=sha256:3bc623e0d9cf034eae1a8fa54ef02261ce666d68c042c51818085b88d8d1af19

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=sha256:192225b2dbb9042b0ea2d1dc2ba4c2ee7834cd0c5991f180447ab334e0a057aa

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:a3162ca285ab0722e47849796a2077cdb28425962045e0bd27601ccd115e3b07

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-18T12:54:01.717015Z digest=sha256:00242351abd8b4048ec47ec1b41d85391afd31bb4bf6f511d6fbc250be919313

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T17:10:42.497004Z digest=sha256:0c307601051e299530ff30e177e69851547b739c38ba7c89b86f6dbae7916931

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=sha256:2d2ec62a3bf151299f99e213eb6ccd74349a65711a3a08e2537ac26677b9e591