Paper Citation Record · LEDGER

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2007.09355.

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

pith.paper-citation-record.v1
2007.09355 v2

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:25.701269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:05.189164Z

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 75f756af-3ec5-4276-abdf-07fd4320f761 · inbound

Practical Manipulation Model for Robust Deepfake Detection cites this paper.

Practical Manipulation Model for Robust Deepfake Detection Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:25.701269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f92bcbd5-5b25-464d-817f-ace6d45dfcc0 · inbound

Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.

Visual Language Models as Zero-Shot Deepfake Detectors Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:26.632123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5933078b-85c4-4c6d-b95f-07192b0f2d89 · inbound

Deepfake Detection Generalization with Diffusion Noise cites this paper.

Deepfake Detection Generalization with Diffusion Noise Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:25:19.701225Z

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 5ccc102e-ff45-4bde-ba1a-8e45a0c0311c · inbound

The Regularizing Power of Language-Training Deepfake Detectors cites this paper.

The Regularizing Power of Language-Training Deepfake Detectors Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:22:46.794338Z

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 90af8771-1030-47a6-bc33-3b69ed0c7e9d · inbound

When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection cites this paper.

When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:36:26.717298Z

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 b68706cf-442b-41a0-bc05-09909a3c32f6 · inbound

Minimalist Preprocessing Approach for Image Synthesis Detection cites this paper.

Minimalist Preprocessing Approach for Image Synthesis Detection Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:10:05.190839Z

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.