Paper Citation Record · LEDGER

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2207.07068.

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

pith.paper-citation-record.v1
2207.07068 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:09:23.640758Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

24
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 17dd21da-fa85-4452-be2f-00a6f69a7424 · inbound

Engineering Digital Systems for Humanity: a Research Roadmap cites this paper.

Engineering Digital Systems for Humanity: a Research Roadmap Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T00:09:23.640758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d1a07ba-325a-4b55-ac6a-7020d04b145a · inbound

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems cites this paper.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:10.111271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ecdb4a8-371f-454c-9cb0-7a929de50d35 · inbound

U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection cites this paper.

U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T19:53:43.122203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751abb38-a207-46f2-90d1-3619bfd459f3 · inbound

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models cites this paper.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:10:49.037864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1189590-4da1-4257-8363-e3004e563360 · inbound

Evaluating Intersectional Fairness across Clinical Machine Learning Use Cases using Fairlogue and the All of Us Research Program cites this paper.

Evaluating Intersectional Fairness across Clinical Machine Learning Use Cases using Fairlogue and the All of Us Research Program Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:30:57.114338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43126ad4-d53a-44ca-b3a1-fcfcb913836d · inbound

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents cites this paper.

Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:21:16.269794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4bda0d66-f29c-497c-8796-a648901df0c1 · inbound

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets cites this paper.

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 194

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:19:17.061386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0bcb8d69-1e27-4c81-9999-d2ba2436fa01 · inbound

FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness cites this paper.

FairSelect: A Systematic Evaluation of Multi-Level and Intersectional Algorithmic Fairness Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T05:33:08.548804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.