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Paper Citation Record · LEDGER

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.07240.

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

pith.paper-citation-record.v1
2403.07240 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:34:10.684592Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-06T14:34:10.684592Z digest=sha256:1225145206af171bcfc17f1ec3e7ac62c65e33490e7f8c02791564200b32ff99

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T06:37:28.249731Z digest=sha256:f4a6b8e501b64be7daea054bb99e11f6416f2f572a2228c95ca055f01aea061c