Paper Citation Record · LEDGER

On the detection of synthetic images generated by diffusion models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.00680.

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

pith.paper-citation-record.v1
2211.00680 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T08:02:37.135363Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:07.398766Z

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 5d20b508-6eec-4574-ad5c-2894c488f0de · 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? On the detection of synthetic images generated by diffusion models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:34:26.592621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe64f637-d2b8-4e9c-819b-562fae8a4a0e · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise On the detection of synthetic images generated by diffusion models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:19.607868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8254fae0-9fc6-444b-a52b-ee497040da72 · inbound

The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence cites this paper.

The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence On the detection of synthetic images generated by diffusion models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:47:22.757504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc06718e-2411-47cd-a025-090f775153c8 · 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 On the detection of synthetic images generated by diffusion models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:59:07.403772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 934a6340-cfe8-4003-b59b-bce6c5beea40 · inbound

BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models cites this paper.

BiSLW: Bi-Spectral Latent Watermarking for Generative Diffusion Models On the detection of synthetic images generated by diffusion models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T08:02:37.135363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.