Paper Citation Record · LEDGER

A Survey on Bias and Fairness in Machine Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:28.535380Z

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.