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Paper Citation Record · LEDGER

Large Language Models for Propaganda Detection

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.06422.

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

pith.paper-citation-record.v1
2310.06422 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:21.875715Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T11:40:31.859804Z

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 129e6057-dae1-4dbd-969f-e87c2bb38dbe · inbound

Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine cites this paper.

Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine Large Language Models for Propaganda Detection

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:21.875715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:42:21.875715Z digest=sha256:21b33317efae5a8b6b8f2b96c12a40f0ab8d2f822ef9944f2cad8bf96993c8e6

Observation 9b9d354a-6f22-4f19-870f-9f678d692ec5 · inbound

Analysis of Propaganda in Tweets From Politically Biased Sources cites this paper.

Analysis of Propaganda in Tweets From Politically Biased Sources Large Language Models for Propaganda Detection

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T18:29:57.261331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:29:57.261331Z digest=sha256:8cf570a6036156d1c565a931e5debd45b90d72f80fdab27a9497ec5046ff34ef

Observation d6367ced-b3f0-4b79-82f5-f313d9d68cad · inbound

VIGIL: An Extensible System for Real-Time Detection and Mitigation of Cognitive Bias Triggers cites this paper.

VIGIL: An Extensible System for Real-Time Detection and Mitigation of Cognitive Bias Triggers Large Language Models for Propaganda Detection

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:40:31.863080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T11:40:25.421605Z digest=sha256:fab1d5728d84a801c12104f2db3bee8af495f7e7b00de7b0f3af19afdef3cbc5

Observation eaa3c644-45f9-4574-be6e-f3b798b280f1 · inbound

SoK: Analysis of Privacy Risks and Mitigation in Online Propaganda Detection through the PROMPT Framework cites this paper.

SoK: Analysis of Privacy Risks and Mitigation in Online Propaganda Detection through the PROMPT Framework Large Language Models for Propaganda Detection

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:48:47.946941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T05:08:00.248775Z digest=sha256:de7cdbbab25ee7a7c6c187fc6433bdc27bc87f4d0888d44da796384f125a2787