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Paper Citation Record · LEDGER

Masked Face Recognition Dataset and Application

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2003.09093.

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

pith.paper-citation-record.v1
2003.09093 v2

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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:41:46.375342Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:27:22.986532Z

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 50dd9af4-8995-4402-b1bd-826570291730 · inbound

ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese cites this paper.

ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese Masked Face Recognition Dataset and Application

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T11:41:46.375342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:41:46.375342Z digest=sha256:dcc3bb556adf2da0b6a6157e2bed807ec736c542093acd1bd678b5299848842d

Observation 8a0a97fc-1997-46be-b121-45dcbca2fca5 · inbound

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification cites this paper.

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification Masked Face Recognition Dataset and Application

Reference 112

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:27:22.995002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:27:22.592566Z digest=sha256:a417ccf6cf34a1301c2c1098b80dc417427a67e34f94c66a21be65c88cf92096