Paper Citation Record · LEDGER

A Survey on Bias and Fairness in Machine Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1908.09635.

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

pith.paper-citation-record.v1
1908.09635 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:01:32.508301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:23:52.857667Z

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 8a81a96b-028b-4271-b891-de605266e751 · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models A Survey on Bias and Fairness in Machine Learning

Reference 185

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:24:29.889531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 116546b0-3611-4a06-8585-4d9fc5eb2827 · inbound

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions cites this paper.

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions A Survey on Bias and Fairness in Machine Learning

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:23:52.860191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5600422f-07ff-443b-8c71-5e712421ac1f · inbound

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs cites this paper.

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs A Survey on Bias and Fairness in Machine Learning

Reference 248

Resolution: unresolved; no resolver link, observed 2026-08-12T05:01:32.508301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8462ff-5c90-4942-9adb-15fee2be3317 · inbound

Bias Analysis of AI Models for Undergraduate Student Admissions cites this paper.

Bias Analysis of AI Models for Undergraduate Student Admissions A Survey on Bias and Fairness in Machine Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T23:25:18.065481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 327ca9c2-1a3f-46e5-9f25-cb0e3d535a17 · inbound

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems cites this paper.

Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems A Survey on Bias and Fairness in Machine Learning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:27.009999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7413a113-ada7-412d-a734-a593293e9acd · inbound

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations cites this paper.

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations A Survey on Bias and Fairness in Machine Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:26:52.648422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad643d0-8a71-4b4a-9b26-222c5b00f151 · inbound

Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study cites this paper.

Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study A Survey on Bias and Fairness in Machine Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T18:37:03.389527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1ff708b-4a6e-4171-83eb-d58fc89a69e9 · inbound

A Critical Field Guide for Working with Machine Learning Datasets cites this paper.

A Critical Field Guide for Working with Machine Learning Datasets A Survey on Bias and Fairness in Machine Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T14:17:56.942168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b0708c-ffa6-4c49-8715-a278abc77483 · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards A Survey on Bias and Fairness in Machine Learning

Reference 249

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:37.123189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e6c7870-9918-43dc-8e3f-7d7d21fdbd04 · inbound

Diversity and Inclusion in AI: Insights from a Survey of AI/ML Practitioners cites this paper.

Diversity and Inclusion in AI: Insights from a Survey of AI/ML Practitioners A Survey on Bias and Fairness in Machine Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:28.535380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99df3e0-7620-4a98-8456-6a08d031af98 · inbound

The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective cites this paper.

The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective A Survey on Bias and Fairness in Machine Learning

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:23.890439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23264da7-fc12-4ad3-bde3-d1b6d9bd733e · inbound

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search cites this paper.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search A Survey on Bias and Fairness in Machine Learning

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-07T05:07:40.016039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1aed0e0-e5cf-4991-ba09-0a189f5d2a13 · inbound

How to Evaluate Automatic Speech Recognition: Comparing Different Performance and Bias Measures cites this paper.

How to Evaluate Automatic Speech Recognition: Comparing Different Performance and Bias Measures A Survey on Bias and Fairness in Machine Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:34.529168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f2fe33-6729-454e-935a-031cc3256d18 · inbound

Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues cites this paper.

Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues A Survey on Bias and Fairness in Machine Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:26:38.245796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5cda7e-153e-4e39-bc93-a52b49b23c3c · inbound

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned cites this paper.

Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned A Survey on Bias and Fairness in Machine Learning

Reference 1988

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:28.514821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35954ab-3ff2-47e1-99d4-e527ab94e15d · inbound

Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics cites this paper.

Prototypicality Bias Reveals Blindspots in Multimodal Evaluation Metrics A Survey on Bias and Fairness in Machine Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T11:52:45.826984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af197cbf-6233-47f1-b63c-c4bb877b8dd9 · inbound

FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition cites this paper.

FairTree: Subgroup Fairness Auditing of Machine Learning Models with Bias-Variance Decomposition A Survey on Bias and Fairness in Machine Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:31:03.846943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.