Paper Citation Record · LEDGER

An Examination of Fairness of AI Models for Deepfake Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.00558.

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

pith.paper-citation-record.v1
2105.00558 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:17:58.754338Z

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

6
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 03d61a64-27d0-4be6-a7ac-d40a4e076fb7 · 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 An Examination of Fairness of AI Models for Deepfake Detection

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T18:17:58.754338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0fd97e-3222-460a-973c-e4b9d8a044d0 · inbound

Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis cites this paper.

Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis An Examination of Fairness of AI Models for Deepfake Detection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:55:37.869257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12213498-e2f6-4acd-be6b-acb87fa0e02f · inbound

Dual-Use AI Face Swap Apps Are Mostly Unsafe: A Systematic Safety Audit cites this paper.

Dual-Use AI Face Swap Apps Are Mostly Unsafe: A Systematic Safety Audit An Examination of Fairness of AI Models for Deepfake Detection

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:54:38.295853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7307f7e-41a7-48a4-95b5-1c66ea390437 · inbound

Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.

Toward Calibrated, Fair, and accurate Deepfake Detection An Examination of Fairness of AI Models for Deepfake Detection

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-06-28T07:11:45.032721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74a5b503-d539-4f04-b7f4-3a33ee616212 · inbound

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection cites this paper.

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection An Examination of Fairness of AI Models for Deepfake Detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T14:47:58.592181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.