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Paper Citation Record · LEDGER

Training Deep Face Recognition Systems with Synthetic Data

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.05891.

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

pith.paper-citation-record.v1
1802.05891 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:03:48.624755Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:03:48.884138Z

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 98c36b3a-1e44-4511-a885-8431b62a6d10 · inbound

Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models cites this paper.

Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models Training Deep Face Recognition Systems with Synthetic Data

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:03:48.891011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T15:03:48.624755Z digest=sha256:a7e23b0067e7c0f6962da0ac85753a50a6c0d2769aa95283c9d59d699684d75c

Observation 4af5a95a-3f51-4e7e-9bc6-60693f73799d · inbound

Benchmarking Face Recognition without Real Faces cites this paper.

Benchmarking Face Recognition without Real Faces Training Deep Face Recognition Systems with Synthetic Data

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T00:44:31.041879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:44:31.041879Z digest=sha256:051a9565c49a374106a4c3713198ef96684a5676d74da645aa5488c27dd2483b