Pith. sign in

Paper Citation Record · LEDGER

Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.02400.

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

pith.paper-citation-record.v1
2111.02400 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:48.593307Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:30:20.009563Z

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 19a17dde-de4f-4f5d-8635-87b3a652bc4c · inbound

Preserving AUC Fairness in Learning with Noisy Protected Groups cites this paper.

Preserving AUC Fairness in Learning with Noisy Protected Groups Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:48.593307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:37:48.593307Z digest=sha256:3938eda5c652125d4e636f67959c9d75a286fa8c3a23475a6e31a9747d3b04fe

Observation 3d80f450-c6ce-41b4-8d0c-fd56c8d65a1e · inbound

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen cites this paper.

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:30:20.090996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:28:25.943208Z digest=sha256:54ee81a56ab004ceb694b7d9f0d883ef0445058b1466cf21a5c387f1570111ba