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Paper Citation Record · LEDGER

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.06235.

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

pith.paper-citation-record.v1
2412.06235 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:44:33.900053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:18:21.434649Z

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 8d96beae-abfb-46ea-8b8c-eee92f1a2161 · inbound

On Applicability of Synthetic Datasets for Facial Expression Recognition cites this paper.

On Applicability of Synthetic Datasets for Facial Expression Recognition VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:18:21.436047Z

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.

source=pdf_text observed=2026-05-20T14:14:05.455128Z digest=sha256:b48d8bb9ec1ae0b1afe5127f2fed49f9db7197652c53ede04c3c61ab785f3abd

Observation 554fbf2b-bd16-43bb-9b70-f8e6432cf038 · inbound

Benchmarking Face Recognition without Real Faces cites this paper.

Benchmarking Face Recognition without Real Faces VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T00:44:33.900053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:44:33.900053Z digest=sha256:cfad0525b73be55d153c58777cfe9efee1f9ff0fa68154549138b899beffff6c

Observation f1944a54-a7be-4064-96d2-0f796956f718 · inbound

On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems cites this paper.

On the Use of Synthetic Data for Threshold Calibration in Face Recognition: Performance and Security Implications for Border Control Systems VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-31T21:20:00.812767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T21:20:00.812767Z digest=sha256:b8834439cffacb2e5c01f3236093daef05996090325ef9b2756fd3efa4425af5