Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.07240.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:58:33.118855Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:41:36.793647Z
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 f96ceec8-2e51-4178-a052-ba7c3e2315a1 · inbound
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection cites this paper.
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:58:33.118855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb288cfc-f0f2-4ce6-9599-cd8fa2d40ccd · inbound
Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.
Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:34:10.684592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3440a67-e0c2-4814-8daa-6b09fddfd24d · inbound
Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection cites this paper.
Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:41:36.794998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.