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Paper Citation Record · LEDGER

Towards Universal Fake Image Detectors that Generalize Across Generative Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2302.10174.

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

pith.paper-citation-record.v1
2302.10174 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:54:31.366554Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:07.337827Z

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 20fa8876-ca99-4d39-9d33-71cd9885a710 · 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? Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:34:26.632524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T23:31:40.691896Z digest=sha256:2dcc7fda74920aac27187ddae4c6c8dbb571730641bd65d827991b73ccc04f21

Observation 1d51f4d5-e142-4ff4-a370-0d4f01ebdd47 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:19.565553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T11:22:31.988852Z digest=sha256:fb43e38fb6254bb44dc2d032126985f80f2138d415983d396a3bc30b54e0af60

Observation 07068e94-74cc-49f3-a7b0-1b7ca127996a · inbound

Findings of the Counter Turing Test: AI-Generated Image Detection cites this paper.

Findings of the Counter Turing Test: AI-Generated Image Detection Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:43:58.689775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T05:43:20.457145Z digest=sha256:371dc0cdf94c7676f4e47788452f16c845f29418438c0b1aaabee7a590eba00a

Observation bc6e6069-072a-4e0b-9d5e-f22a3bc1f946 · inbound

Findings of the Counter Turing Test: AI-Generated Image Detection cites this paper.

Findings of the Counter Turing Test: AI-Generated Image Detection Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:04:47.235135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T10:02:20.521421Z digest=sha256:53046a882ee49098a3dbf0f14f96da69df1cc72f113f502f7442650ed6066048

Observation 22118147-2c75-42ef-8e8f-42d20238966e · inbound

Findings of the Counter Turing Test: AI-Generated Image Detection cites this paper.

Findings of the Counter Turing Test: AI-Generated Image Detection Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:34:57.781822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T17:29:30.513227Z digest=sha256:b1d0861dae2d4d9f13a720ced8311ba1127fa9ca239c47856cc1c153fe8e88d9

Observation 0f4c2e5a-6cd6-4b9b-b219-b3473902a681 · inbound

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection cites this paper.

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:03:47.979903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T18:00:33.346957Z digest=sha256:72f3b79fdf61642ed5cb5a1270e71fc5122a312fca8fe7ab4af51ef982e51e3d

Observation dc0618f1-4757-4d6c-a945-281b57d74863 · inbound

Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion cites this paper.

Forged Calamity: Benchmark for Cross-Domain Synthetic Disaster Detection in the Age of Diffusion Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:07.340047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T21:32:27.296146Z digest=sha256:ae10ad4733d4a9791beb1bded145021809ba78f1c728050ea0dcbae2ceddddf3

Observation 2dd54f11-7561-47bb-a73b-004d6fe602b7 · inbound

TextRich: A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2 cites this paper.

TextRich: A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2 Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:07.309359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T21:32:28.782685Z digest=sha256:0fb12e32e63fb139ca72f83c5b1f37af8447bd25149f0caf4a85ab5a55bba179

Observation 75080abf-4380-4a8a-89f4-975049573611 · inbound

TextRich: A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2 cites this paper.

TextRich: A Multi-Domain Benchmark for Detecting AI-Generated Text-Rich Images from GPT-Image-2 Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T10:54:31.366554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:54:31.366554Z digest=sha256:da50684b480acf4d70948bc5203442318d5b5a5b29ace151d7596dac491e0d41

Observation 4ed508f1-bafd-4f98-bef3-9e36424f8889 · inbound

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images cites this paper.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.506953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T01:08:22.794058Z digest=sha256:0fccdc39752594b276fd1f122b7cba2967afed1974caa32b895c9cdc2f8785d4

Observation 2c74660a-f68b-4461-8b97-760c89d81e01 · inbound

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

GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T07:41:39.190072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:41:39.190072Z digest=sha256:7e8accafc82884a3815285c89d2796fb7f93f904b0e34b5de3e737a411de2118