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Paper Citation Record · LEDGER

COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.17677.

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

pith.paper-citation-record.v1
2311.17677 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:10:52.367564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T01:45:55.003620Z

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 42b9f43b-1012-4f73-be6e-137e74346e04 · inbound

Chest X-ray Foundation Model with Global and Local Representations Integration cites this paper.

Chest X-ray Foundation Model with Global and Local Representations Integration COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T20:10:52.367564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:10:52.367564Z digest=sha256:6680eb6a36b35586002769bb1bd31d0949c0a0c8a46b2c5eae77b7d03984a0e3

Observation 41d9b220-554e-404f-af34-6f79b4e7bcc8 · inbound

Adapting Foundation Vision-Language Models to Medical Diagnosis via Query-Driven Expert Bridging cites this paper.

Adapting Foundation Vision-Language Models to Medical Diagnosis via Query-Driven Expert Bridging COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-22T01:45:55.007413Z

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=2026-05-22T01:45:06.110568Z digest=sha256:74d44e9bb7bf988fbc7738e789837a4a708a39feaca7785af715f8027cc92665

Observation aa8eac27-6bb3-4f79-9d73-18781539d653 · inbound

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging cites this paper.

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:50:25.253151Z

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=arxiv_source observed=2026-05-10T12:47:27.551670Z digest=sha256:acc3dfa5f7af782f7f690d0adfd5536e4eb5f3a9ad7785df8ed2083e8bce14c8