Paper Citation Record · LEDGER

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.06998.

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

pith.paper-citation-record.v1
2210.06998 v2

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:46.653211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:34:26.594266Z

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 9c26c032-bfb3-43a9-946f-04815ad84b03 · inbound

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

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:16:46.653211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc0b7c4f-02be-4255-b10d-948078d48ed0 · inbound

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models cites this paper.

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:59.811059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df4080f-ee99-4439-9aab-d8ec1c8c5ed1 · inbound

Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters? cites this paper.

Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters? DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:34:26.596051Z

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.

Observation 4717c46c-b47c-4f56-86ad-e88b124a1ce3 · 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 DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:05:38.965570Z

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.

Observation dd492fa7-a9c3-4e84-8455-1ed09e56fe71 · inbound

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification cites this paper.

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:40.207788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb89e94-5920-4ddc-a004-a2e0107075f4 · inbound

AI-generated Images Challenge Visual Trust in High-risk Scenarios cites this paper.

AI-generated Images Challenge Visual Trust in High-risk Scenarios DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T08:52:45.185980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.