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Paper Citation Record · LEDGER

Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.14077.

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

pith.paper-citation-record.v1
2403.14077 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:45:25.774011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:42:19.266560Z

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 e65a4528-6bf5-4dba-beb2-df24b8b8795e · inbound

Chameleon: Benchmarking Detection and Backtracking on Commercial-Grade AI-Generated Videos cites this paper.

Chameleon: Benchmarking Detection and Backtracking on Commercial-Grade AI-Generated Videos Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:42:19.269608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T00:39:20.960311Z digest=sha256:653c55769cc1bd5cf0b7a293863abb2ed018b409e1f8f93522461a38e5c2385e

Observation 24010e10-2f9e-4ddb-8682-3aa945e3fea6 · inbound

Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.

Visual Language Models as Zero-Shot Deepfake Detectors Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:25.774011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:45:25.774011Z digest=sha256:fc65fd25f20af866a975c43537df8558cb5c9f30fb08ad382e4822d3b9d242ad

Observation b2781990-917e-4a70-bfba-2f295b1c74c0 · inbound

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System cites this paper.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T05:51:35.485474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:51:35.485474Z digest=sha256:e03b5c4837a99e8d77303c643625640fe635127451fdafa7d935ca1753a56266