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Paper Citation Record · LEDGER

Can Multi-modal (reasoning) LLMs work as deepfake detectors?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.20084.

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

pith.paper-citation-record.v1
2503.20084 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 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T09:23:20.044291Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:39.907076Z

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 f9dcc85c-b31e-416d-af98-cf3be56a56b1 · inbound

A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator cites this paper.

A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:55:52.734220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T18:46:42.565220Z digest=sha256:efe6f954db68066fc0a252718e138d66c001dc0c19f00d1912a3970b4a59ce22

Observation 0e44fe34-e175-412e-8edb-c8b61374801e · inbound

Noncrossing Duality and the Geometry of Positive Tropical Linear Spaces cites this paper.

Noncrossing Duality and the Geometry of Positive Tropical Linear Spaces Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:39.909643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T09:23:20.044291Z digest=sha256:f6f3e0cea7190e4390be1eb871548d3f64450ae926d32ce458c607a4dda4bd7a

Observation bb6c40b6-712f-4e0b-997c-cad82c93b31d · inbound

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents cites this paper.

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:31:15.062726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:54:17.319933Z digest=sha256:a6dba686d319c0b7ffbeaf6873d004281ebe1b7e93719497f59a17eb9e6bd015

Observation 69afaf2f-29a2-40eb-bc45-8272c28e7eb4 · inbound

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment cites this paper.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:22:00.612804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T17:08:09.428849Z digest=sha256:cdfb189827854fb341c130beb723209958e1ace9b479349a471b66cd3d7d47da

Observation e9ff518d-52eb-4183-a85d-8b6820cae9e4 · inbound

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment cites this paper.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:23.231422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T03:26:08.019047Z digest=sha256:4f14e98d2ef097d7d60f2f7adb68963937ee703032392262e0a323e6adeca708