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Paper Citation Record · LEDGER

Generative Large Language Models in Automated Fact-Checking: A Survey

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.02351.

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

pith.paper-citation-record.v1
2407.02351 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:27:33.686653Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

3
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c9fdaacc-5067-494d-9379-357cddc8bc48 · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-12T21:54:44.476441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:54:44.476441Z digest=sha256:867877d431c672696ba27f226a9ab01d7af67519e933fb468430d12e8a487313

Observation 85401db5-f908-4e4d-af73-7edb49942212 · inbound

A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages cites this paper.

A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T05:27:33.686653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:27:33.686653Z digest=sha256:237c6b784ff5b2bec85310a301911d86c7c4c537e811e9f3ef3df11493eb0328

Observation 39fadc18-64c3-4d2c-927f-ba34ab1e0838 · inbound

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking cites this paper.

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:47.165377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:51:47.165377Z digest=sha256:fa733364c1a221b0061c8a6ef8f22a718b21495d3a5b5cd735ad57a4ba16de09

Observation 0643c192-136d-4c1a-8456-e395a3f39bcc · inbound

Leveraging Large Language Models for Information Verification -- an Engineering Approach cites this paper.

Leveraging Large Language Models for Information Verification -- an Engineering Approach Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:33.042580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:33.042580Z digest=sha256:2315ca6aa7a8d389d2b16cd81bc5fafde8bfd1d8cd364b79bbf571c1c72bd556

Observation 5ae0c009-3966-4e81-b7b7-7ff4d2c6ad13 · inbound

DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media cites this paper.

DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:11:50.618796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:11:50.618796Z digest=sha256:d66cc8fb13673c87edeb4d7cf82c534dd6030dc2009db048c1e9faeb085a4c15

Observation e898b24c-e750-45a1-9591-c4dfaed73c99 · inbound

CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking cites this paper.

CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T10:36:18.860324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:36:18.860324Z digest=sha256:d09518161f50b58c0544f6dc6e723be7efc4454cb3ba1e11914079cfe153828f

Observation c913d9b2-6ef4-4c7d-b75a-a07fd67a74a2 · inbound

Adversarial Attacks Against Automated Fact-Checking: A Survey cites this paper.

Adversarial Attacks Against Automated Fact-Checking: A Survey Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T16:14:55.458994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:14:55.458994Z digest=sha256:fd31cc1e3108e35bc948c9a2c615d63d959e7f44838c06a498f764c400bdb82a

Observation bdec2ad5-e259-4279-a299-c7bc0d912d7e · inbound

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence cites this paper.

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:17:02.865458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-18T00:56:33.806425Z digest=sha256:e7ed5b6bd299deb2ee2966cc6ae1785352d0c124d5910b5a15261b036d6bc93e

Observation 8b90ae38-44c2-464c-a738-d84a0b4044eb · inbound

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation cites this paper.

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T15:42:28.620494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:42:28.620494Z digest=sha256:2c36277bb9afa14572a37849bf21414a34e1d6e9b22240c836b02344d469d683

Observation bc2dcdb2-90ac-4e29-9985-774bb56e91be · inbound

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs cites this paper.

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:27:25.367478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T18:58:55.712400Z digest=sha256:6d41b1744720c8438152c94f6d9c28a8d1247e1d3b8e096c6193d318f10cd36a

Observation e589c6aa-9432-46f7-9b3c-4923bb20191e · inbound

SourceMinds at CheckThat! 2026: NLI-Grounded Citation Auditing in a Multi-Agent Pipeline for Full Fact-Checking Article Generation cites this paper.

SourceMinds at CheckThat! 2026: NLI-Grounded Citation Auditing in a Multi-Agent Pipeline for Full Fact-Checking Article Generation Generative Large Language Models in Automated Fact-Checking: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T08:30:14.980244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:30:14.980244Z digest=sha256:9149edaa1609d92a91b8f94b9fd97bf92d2f8c9de3c97f8a7df5ca86f87c5cec