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Paper Citation Record · LEDGER

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.14623.

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

pith.paper-citation-record.v1
2305.14623 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:33.726727Z

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

4
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 c8933679-a9dc-4777-a111-02be3a9b1518 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

Reference 162

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:52.489373Z

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.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:8cb7fbd382bb38b2403a309b51b29da69b6bcd6352c190e603d05056e19ca427

Observation 141d7c1f-ec64-41d8-b636-43957099702b · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:33.726727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:33.726727Z digest=sha256:8d25aab19e64d7cb37ad0e95663f0fa45cc6ea3d403879a13a1f049199240df2

Observation a27ff495-ba58-4a77-a07c-7858cf95ce5f · inbound

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation cites this paper.

Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:43.695133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:43.695133Z digest=sha256:90ebda4599bd76632026f4e80338031cf55df36e151ec9bd76ce8d67650a0ff8

Observation be2922a7-9bcb-42b2-af84-176fc23bbe6b · inbound

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval cites this paper.

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:13.521410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:13.521410Z digest=sha256:a5ef4ebe5690c25e395d464e103a7e24af3e35a236a38ea1bf7c60f60ea05231

Observation 34fb33f0-0adf-4557-b115-4ae1628f3648 · inbound

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

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:00:34.167541Z

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.

source=arxiv_source observed=2026-05-18T00:56:33.806425Z digest=sha256:52369e5f7da1e68da31a7cceb81333a25397f17498ab6b247e4f6e22d739196d