Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.05845.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:12:31.623379Z
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
7
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 46ca9dcc-d945-46e4-9d1c-d074de562001 · inbound
Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization cites this paper.
Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:12:31.623379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f98509d3-5af1-487f-a40a-c5e03b1211ba · inbound
Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.
Toward Calibrated, Fair, and accurate Deepfake Detection Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T07:11:45.226674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 95cd9116-fbb0-4cc2-95e9-89c8994640b3 · inbound
InfoDense: Density-Aware Regional Decisive Replay for Memory-Efficient Incremental Face Forgery Detection cites this paper.
InfoDense: Density-Aware Regional Decisive Replay for Memory-Efficient Incremental Face Forgery Detection Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Reference 133
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:47:39.604838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.