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Paper Citation Record · LEDGER

Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.14367.

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

pith.paper-citation-record.v1
2407.14367 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:17:59.628640Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:57:44.365624Z

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 eed106e6-fe79-4fad-8b62-c84933e37949 · inbound

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising cites this paper.

Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T18:17:59.628640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:17:59.628640Z digest=sha256:059b2cab450c48d2c50fb62d1b001d937981b1a1b9e481b89e7dbd2ef8514303

Observation 136c3c68-ed9f-43b9-aead-4313bdb577f5 · inbound

Ethical and Technical Limits of Deepfake Speech Datasets cites this paper.

Ethical and Technical Limits of Deepfake Speech Datasets Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:44.367163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T11:40:01.282256Z digest=sha256:963a715abfa4911f87df0284e4d1e6a786b5740b04e9b0b649ecbd51dfd44cc3