Paper Citation Record · LEDGER

Leveraging Frequency Analysis for Deep Fake Image Recognition

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2003.08685.

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

pith.paper-citation-record.v1
2003.08685 v3

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 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:29:28.841694Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

209
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 75509af7-eb57-4390-9218-5c3262290e6f · inbound

Modelship Attribution: Tracing Multi-Stage Manipulations Across Generative Models cites this paper.

Modelship Attribution: Tracing Multi-Stage Manipulations Across Generative Models Leveraging Frequency Analysis for Deep Fake Image Recognition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:28.841694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855bc918-2841-49c0-bc30-d8e981ebf7c7 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Leveraging Frequency Analysis for Deep Fake Image Recognition

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:19.597465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43cc9f3a-b3e6-4b60-a115-ae5733b3ea24 · inbound

DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection cites this paper.

DVAR: Adversarial Multi-Agent Debate for Video Authenticity Detection Leveraging Frequency Analysis for Deep Fake Image Recognition

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:52:13.626128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e185c976-4273-490a-9e99-4e4c8fc72540 · inbound

SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection cites this paper.

SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection Leveraging Frequency Analysis for Deep Fake Image Recognition

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:51:15.725943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd10ce12-5f39-4908-bca3-90339b8a91f4 · inbound

SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection cites this paper.

SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection Leveraging Frequency Analysis for Deep Fake Image Recognition

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:51:13.885998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f42b2bf-68bc-40b7-acf1-7ede9b11129f · 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 Leveraging Frequency Analysis for Deep Fake Image Recognition

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:59:07.412650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.