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Paper Citation Record · LEDGER

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2306.08571.

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

pith.paper-citation-record.v1
2306.08571 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:41:41.612242Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:26.594450Z

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 acd4f085-b6c6-4502-ae41-2cc631eaa78f · inbound

Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics cites this paper.

Deepfakes in the 2025 Canadian Election: Prevalence, Partisanship, and Platform Dynamics GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:38:34.396696Z

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=2026-05-16T21:34:10.065267Z digest=sha256:0453c0f7845d2d32d3b42d36d368579e2ba78267d8995f0133b7aadb68c0cdc3

Observation 0117eb3a-5024-43d3-8944-2f56c0f63dc1 · inbound

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation cites this paper.

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:41:05.636003Z

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=2026-05-10T18:23:48.168061Z digest=sha256:d857e03c510f192056142d5de7f7bf284416078851e2b073db93442c49cea62b

Observation 713a5cdf-fb1a-4833-8edc-4387c65962dc · inbound

DeepFake Forensics AI: A Multi-Modal Detection and Blockchain-Anchored Evidence Management Platform cites this paper.

DeepFake Forensics AI: A Multi-Modal Detection and Blockchain-Anchored Evidence Management Platform GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:03:12.703126Z

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=2026-06-29T07:02:14.881558Z digest=sha256:cda434b72cb9dfe416945bfaac38e383f166639688081a4ea706544614851cd3

Observation 04b50310-9ad3-4ec1-b4a1-96d1f0723287 · inbound

SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation cites this paper.

SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:26.596394Z

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=2026-06-28T11:16:44.986901Z digest=sha256:8ac22a722d74e2b938ff2f5243b02863fcbc341c1d077921ddade2b69db82364

Observation 119daafd-d4b5-4461-8333-731eb907c7cf · inbound

XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection cites this paper.

XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T01:35:43.979206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:35:43.979206Z digest=sha256:3fb8909570ebf53c1a53029a5ecebfcfd5d973b033c0afe53973c6c4c6f2d45d

Observation d501eec2-d658-4b70-b5b8-2ba56f5fd815 · 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 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T05:51:33.790490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:51:33.790490Z digest=sha256:568d888bd9e1a3348fe330f3baa81fbb9bd6408cc033d8288c281db2774ceebf

Observation 59fff57b-444c-4a01-82b1-857730138405 · inbound

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

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 53

Resolution
malformed identifier
no resolver link, observed 2026-08-02T07:41:41.612242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:41:41.612242Z digest=sha256:df2f070de992419ae5a27166bb4e59129b27b432a85d99f4ca7962b2a98d4699

Observation 6d8ed725-eafc-4b87-abbb-18483f0b539e · inbound

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

AI-generated Images Challenge Visual Trust in High-risk Scenarios GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T08:52:45.378550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:52:45.378550Z digest=sha256:c3cfbe6717b69727b657c9967309786ee85ef5f18645fc6d0ea691b24aa69aa9