Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07627.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:11.705388Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:05:00.057170Z
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 32cbe4ea-1314-4c75-b5d8-158478b389d4 · inbound
Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces cites this paper.
Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:41:11.705388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 440a6275-cb0b-435a-a9fc-7981aebfe29e · inbound
Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion cites this paper.
Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:05:00.065865Z
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.