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Paper Citation Record · LEDGER

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.06122.

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

pith.paper-citation-record.v1
1909.06122 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:38.172124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:25:47.802924Z

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 24a4100a-fe18-4979-8d02-901147b92e16 · inbound

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection cites this paper.

Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 287

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:47.805660Z

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=arxiv_source observed=2026-05-17T23:25:47.549655Z digest=sha256:b57e1ed6f9e5129a5ace3b6dfb2b8e632f70cafe3366b833fffebc16f2087bdd

Observation 134fd557-1add-4a32-9fbd-9f9e336e793f · inbound

Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations cites this paper.

Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:38.172124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:38.172124Z digest=sha256:d926da6b26a9ddd4143c310069fbba16d13f07862ad23563383a9de3802a516e

Observation 5a6e1542-8ae5-4784-abb0-03f581c5cedb · inbound

Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection cites this paper.

Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:51.424982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:51.424982Z digest=sha256:8483f02093f66805fdfc8a0977c54c7f48c52060067998f5eab7083a1b630fb3

Observation e5f1fe6f-0725-4b21-a069-f5223c731576 · inbound

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models cites this paper.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.254679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.254679Z digest=sha256:7f36587e2bb815c8c9f2fff0140fabe38a8051cf7220ced6ad7c29cea3c4a6d6

Observation 36837b87-2541-4277-a2d8-1bfd2dda8126 · inbound

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection cites this paper.

LAA-X: Unified Localized Artifact Attention for Quality-Agnostic and Generalizable Face Forgery Detection FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T17:23:02.190008Z

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=2026-05-13T17:22:28.944874Z digest=sha256:cd1c4d34c4c55c69f15016e07bdcfe153cc2ae15cc5120a432efb97c1bdd2006

Observation b1ccee3b-ff58-482e-bc62-32af737c5e92 · inbound

Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering cites this paper.

Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:46:27.799679Z

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=2026-05-07T09:12:32.877743Z digest=sha256:4c132a308142b464c31bcc7a85c08fef58b56abfa098fff9555278e92d69bef0