Pith. sign in

Paper Citation Record · LEDGER

Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.00724.

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

pith.paper-citation-record.v1
2503.00724 v1

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:48:26.742424Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T02:05:38.992683Z

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 a5123d07-7d34-4b77-94a6-c8b36d325558 · inbound

Extracting Participation in Collective Action from Social Media cites this paper.

Extracting Participation in Collective Action from Social Media Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T20:48:26.742424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:48:26.742424Z digest=sha256:5ec2675ea28b5dbac3a52291d819ea926c77bf16b09edb5072b134133009b469

Observation 3103c6f4-666c-4002-a033-2460631b9cf3 · inbound

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models cites this paper.

Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:55.068702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:31:55.068702Z digest=sha256:fd5515dfeab1b7c1c3d757e29fe8f3ddd30a10511fb3d7723601558fc39fb77a

Observation b3e7e1ce-0345-42c7-a593-6a7020833e90 · inbound

The Compositional Architecture of Regret in Large Language Models cites this paper.

The Compositional Architecture of Regret in Large Language Models Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:49.442750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:49.442750Z digest=sha256:ae503fea9adf642b973d25b78ca1bb06e45d5cf4b397b0450d02c308ddb60d64

Observation ceba5433-714b-494a-ab23-f626ca40f6c3 · inbound

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems cites this paper.

Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:23.107761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:23.107761Z digest=sha256:98cbd741099bf366c6c5284c74a97d046d2bfbadb2013f1731b86eeaae58ee89

Observation e82f838a-5177-4960-ba0c-79d7604758aa · inbound

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection cites this paper.

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:05:38.995949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T02:04:49.742067Z digest=sha256:05840fb9979727c600b572a5f75acc7cdade2760415d7b88a7ce742f9b888687