Paper Citation Record · LEDGER

Exposing the Fake: Effective Diffusion-Generated Images Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2307.06272.

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

pith.paper-citation-record.v1
2307.06272 v1

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:12:22.937562Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:29:46.695234Z

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 fe50edef-3acb-4f42-bbe6-945c203f7756 · inbound

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM cites this paper.

Survey on AI-Generated Media Detection: From Non-MLLM to MLLM Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 122

Resolution: unresolved; no resolver link, observed 2026-08-08T21:12:22.937562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8ff812e-dca2-4efe-b9ab-90708fbc6263 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:19.602559Z

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 4dd0af43-175b-4807-9a84-f0ce8f8367b9 · inbound

AI-Generated Images: What Humans and Machines See When They Look at the Same Image cites this paper.

AI-Generated Images: What Humans and Machines See When They Look at the Same Image Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:09.881160Z

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 99a8daa8-5061-46cc-81d5-c3993d38e3cc · inbound

Venus-DeFakerOne: Unified Fake Image Detection & Localization cites this paper.

Venus-DeFakerOne: Unified Fake Image Detection & Localization Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:29:46.698558Z

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 2269417e-8ed6-4b94-aa19-e77b587d6b12 · inbound

Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII) cites this paper.

Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII) Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-02T13:50:48.745384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7cab43-db21-4f35-84fc-b3b3c394d880 · inbound

GLID: Gated Local Intrinsic Dimension Repairs the Blind Spots of Face-Forgery Detectors cites this paper.

GLID: Gated Local Intrinsic Dimension Repairs the Blind Spots of Face-Forgery Detectors Exposing the Fake: Effective Diffusion-Generated Images Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T14:29:52.001178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.