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Paper Citation Record · LEDGER

Exposing the Fake: Effective Diffusion-Generated Images Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 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 2026-08-02T13:50:48.745384Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:22:31.988852Z digest=sha256:929424058e75cdf1678fc896cb31677511bd411b3fc608c7d11b3abd27c12189

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T13:59:06.220904Z digest=sha256:ef63ba5da22fb804d74d83de9b8ba06b8a03a96f234f405d4347c51c300e6c94

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T05:29:37.736473Z digest=sha256:9b3c08fea678ca4234d1b0b9c475e6a299e8dc3b328b88e7af2c1f8e27b4afe7

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.

source=arxiv_source observed=2026-08-02T13:50:48.745384Z digest=sha256:5f520f29f705e396c318bbdeed725c14c6e270ac7233d90bbb115b5db8010544

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.

source=pdf_text observed=2026-08-01T14:29:52.001178Z digest=sha256:44613f6b909d58674574a161deb0ad966c6909bbe6e7bd1e44bf1ff0828efa61