Paper Citation Record · LEDGER

Biometric Quality: Review and Application to Face Recognition with FaceQnet

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.03298.

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

pith.paper-citation-record.v1
2006.03298 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:26:06.832899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:52:58.922688Z

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 725ca5fc-11e6-4501-932d-41d8e1104697 · inbound

A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications cites this paper.

A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications Biometric Quality: Review and Application to Face Recognition with FaceQnet

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:06.832899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93574e7c-b848-4838-8bb8-54dcd9bc3dce · inbound

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training cites this paper.

MSPT: A Lightweight Face Image Quality Assessment Method with Multi-stage Progressive Training Biometric Quality: Review and Application to Face Recognition with FaceQnet

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T22:03:04.856328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53960e55-5e9d-419b-ab20-16df04bdd57a · inbound

A Flexible Approach to Augmenting a Bayesian VAR with Nonlinear Factors cites this paper.

A Flexible Approach to Augmenting a Bayesian VAR with Nonlinear Factors Biometric Quality: Review and Application to Face Recognition with FaceQnet

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T18:52:06.987579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 316adfee-0adc-4b8a-82c7-5a2e19c41814 · inbound

ATTN-FIQA: Interpretable Attention-based Face Image Quality Assessment with Vision Transformers cites this paper.

ATTN-FIQA: Interpretable Attention-based Face Image Quality Assessment with Vision Transformers Biometric Quality: Review and Application to Face Recognition with FaceQnet

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:14:07.899133Z

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.

Observation 8438d27c-a61d-4195-a09b-eb37450edefd · inbound

EX-FIQA: Leveraging Intermediate Early eXit Representations from Vision Transformers for Face Image Quality Assessment cites this paper.

EX-FIQA: Leveraging Intermediate Early eXit Representations from Vision Transformers for Face Image Quality Assessment Biometric Quality: Review and Application to Face Recognition with FaceQnet

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:05.359886Z

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.

Observation 44ab02b7-6366-429e-99b0-d19fa7481d98 · inbound

PreFIQs: Face Image Quality Is What Survives Pruning cites this paper.

PreFIQs: Face Image Quality Is What Survives Pruning Biometric Quality: Review and Application to Face Recognition with FaceQnet

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:52:58.925610Z

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.