Paper Citation Record · LEDGER

Estimating and Improving Fairness with Adversarial Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.04243.

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

pith.paper-citation-record.v1
2103.04243 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:18:04.123266Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:19:14.668357Z

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 65b39828-c42c-493e-8a7d-598658ef3aaa · inbound

Learning Fair Robustness via Domain Mixup cites this paper.

Learning Fair Robustness via Domain Mixup Estimating and Improving Fairness with Adversarial Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T15:18:04.123266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c6a1ea6-505c-4591-ac2b-e2288ca778d6 · inbound

FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification cites this paper.

FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification Estimating and Improving Fairness with Adversarial Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T10:43:37.911870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f051e7-7ed2-4846-be9e-5728844d18e3 · inbound

Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression cites this paper.

Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression Estimating and Improving Fairness with Adversarial Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:07.591374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cabcaa5-aea5-4040-acda-eff546bca31b · inbound

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning cites this paper.

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning Estimating and Improving Fairness with Adversarial Learning

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:19:14.740320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.