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Paper Citation Record · LEDGER

COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.10003.

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

pith.paper-citation-record.v1
2103.10003 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:09:16.423644Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:12:24.966208Z

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 873ccaf1-d622-430b-9a79-33e9d1b413f6 · inbound

Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor cites this paper.

Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T17:09:16.423644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:09:16.423644Z digest=sha256:a89b8858d256b1f785319cfa7fa3a227a7c85ff3c3b16077267ea37cc7091734

Observation 10ffdc93-4dd6-49d6-94fb-a9533e0e41d2 · inbound

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks cites this paper.

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:12:25.060498Z

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=2026-08-06T23:12:22.242211Z digest=sha256:27028eeb339d926b575fc2e7880e8ffcacdf935558c36adb41697f644bc949ff