Paper Citation Record · LEDGER

Towards Universal Fake Image Detectors that Generalize Across Generative Models

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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.

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 2026-08-09T06:31:02.800959+00:00.

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.