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Paper Citation Record · LEDGER

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.14126.

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

pith.paper-citation-record.v1
2303.14126 v1

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:42.411625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:42:15.976623Z

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 07421418-01b4-4628-bb70-a9911f1764b7 · inbound

Common Inpainted Objects In-N-Out of Context cites this paper.

Common Inpainted Objects In-N-Out of Context CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:42:15.978594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T11:38:44.069681Z digest=sha256:ff82006c45d238ad2cb86777fdede26dcc9c8248615ddf94113d9ce903797a12

Observation 86929f05-5294-40e5-bccc-aecd8ff0b996 · inbound

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

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:42.411625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.411625Z digest=sha256:3ef55f4a4347c677949d0744e68bc614a20f77ef14b0ec786a02523c6e0e4248

Observation e309ae7e-7ceb-4281-b87f-e04b1c33dabc · inbound

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations cites this paper.

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T11:49:00.019238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:49:00.019238Z digest=sha256:d348f9549264c08ad09b4582df9b71d56c74e883114d7d44e154f51f4947bd6c