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Paper Citation Record · LEDGER

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.02192.

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

pith.paper-citation-record.v1
2403.02192 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:33.082776Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:30:51.114420Z

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 75c08e44-4978-4dbd-8f51-5c339895140e · inbound

DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios cites this paper.

DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:33.082776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:33.082776Z digest=sha256:9ac53aa69d1f494e4bc7697211e8693cdb6aaa05c36643d05a85b9e8de58c7e8

Observation 35fdb576-0b11-44d3-b36b-2cfd8e8da11e · inbound

Robust Fair Disease Diagnosis in CT Images cites this paper.

Robust Fair Disease Diagnosis in CT Images Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:51.118556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:30:24.110983Z digest=sha256:2c7fff285eb37531f353313350e94f29321655f56b4df78cc29c45964892466c