FairSense: Long-Term Fairness Analysis of ML-Enabled Systems | Paper Citation Record

Observation 31526bc4-c09b-4ff5-a5b7-5b4939093e00 · outbound

This paper cites System Safety Engineering for Social and Ethical ML Risks: A Case Study.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems System Safety Engineering for Social and Ethical ML Risks: A Case Study

Reference 1

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This paper cites Delayed impact of fair machine learning,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Delayed impact of fair machine learning,

Reference 2

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This paper cites Runaway feedback loops in predictive policing,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Runaway feedback loops in predictive policing,

Reference 3

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This paper cites On adaptive fairness in software systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems On adaptive fairness in software systems,

Reference 4

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This paper cites Fairness testing: testing software for discrimination,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness testing: testing software for discrimination,

Reference 5

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This paper cites Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness,

Reference 6

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This paper cites Fair preprocessing: Towards understanding compositional fairness of data transformers in machine learning pipeline,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fair preprocessing: Towards understanding compositional fairness of data transformers in machine learning pipeline,

Reference 7

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This paper cites Black box fairness testing of machine learning models,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Black box fairness testing of machine learning models,

Reference 8

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This paper cites Automated directed fairness testing,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Automated directed fairness testing,

Reference 9

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This paper cites White-box fairness testing through adversarial sampling,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems White-box fairness testing through adversarial sampling,

Reference 10

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Observation a5f99e7c-35e1-48ce-9164-5a62f1b9147a · outbound

This paper cites Fairify: Fairness verification of neural networks,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairify: Fairness verification of neural networks,

Reference 11

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Observation 81954c3b-2574-4f0c-b62f-079f1c338f2b · outbound

This paper cites Bias in machine learning software: Why? how? what to do?.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Bias in machine learning software: Why? how? what to do?

Reference 12

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This paper cites Fairway: A way to build fair ml software,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairway: A way to build fair ml software,

Reference 13

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This paper cites Fix fairness, don’t ruin accuracy: Performance aware fairness repair using automl,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fix fairness, don’t ruin accuracy: Performance aware fairness repair using automl,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:31.748743Z

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FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Unresolved cited work

Reference 15

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FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Unresolved cited work

Reference 16

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This paper cites O’Neil, Weapons of math destruction: How big data increases inequality and threatens democracy.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems O’Neil, Weapons of math destruction: How big data increases inequality and threatens democracy

Reference 17

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This paper cites Concrete problems in ai safety,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Concrete problems in ai safety,

Reference 18

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Observation 553555ba-68d5-4a2b-897b-63060ae17fb3 · outbound

This paper cites Fairness is not static: deeper understanding of long term fairness via simulation studies,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness is not static: deeper understanding of long term fairness via simulation studies,

Reference 19

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This paper cites Runtime monitoring of dynamic fairness properties,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Runtime monitoring of dynamic fairness properties,

Reference 20

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This paper cites Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:31.775314Z

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This paper cites A classification of feedback loops and their relation to biases in automated decision-making systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems A classification of feedback loops and their relation to biases in automated decision-making systems,

Reference 22

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This paper cites Towards safe ML-based systems in presence of feedback loops,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Towards safe ML-based systems in presence of feedback loops,

Reference 23

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This paper cites The world and the machine,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems The world and the machine,

Reference 24

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This paper cites A reference model for requirements and specifications,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems A reference model for requirements and specifications,

Reference 25

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FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Unresolved cited work

Reference 26

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This paper cites Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models,

Reference 27

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This paper cites Algorithmic fairness in predicting opioid use disorder using machine learning,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Algorithmic fairness in predicting opioid use disorder using machine learning,

Reference 28

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Observation 7e63a085-f40f-4e76-83f0-b8f0a797e56f · outbound

This paper cites The effect of differential victim crime reporting on predictive policing systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems The effect of differential victim crime reporting on predictive policing systems,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:31.806444Z

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This paper cites The role of environmental deviations in engineering robust systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems The role of environmental deviations in engineering robust systems,

Reference 30

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This paper cites Fairness definitions explained,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness definitions explained,

Reference 31

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This paper cites Fairness through awareness,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness through awareness,

Reference 32

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Observation 62ccff9d-1f2e-45b8-92a4-63ccbdba86e3 · outbound

This paper cites Equality of opportunity in supervised learning,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Equality of opportunity in supervised learning,

Reference 33

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This paper cites Artificial intolerance,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Artificial intolerance,

Reference 34

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This paper cites Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination

Reference 35

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This paper cites Justice department secures over 31 million from city national bank to address lending discrimination allegations,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Justice department secures over 31 million from city national bank to address lending discrimination allegations,

Reference 36

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This paper cites Apple card is accused of gender bias. here’s how that can happen,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Apple card is accused of gender bias. here’s how that can happen,

Reference 37

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This paper cites Fairtest: Discovering unwarranted associa- tions in data-driven applications,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairtest: Discovering unwarranted associa- tions in data-driven applications,

Reference 38

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FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Unresolved cited work

Reference 39

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This paper cites A brief survey of stopping rules in monte carlo simulations,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems A brief survey of stopping rules in monte carlo simulations,

Reference 40

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This paper cites Saltelli, M.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Saltelli, M

Reference 41

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This paper cites Marrying fairness and explainability in supervised learning,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Marrying fairness and explainability in supervised learning,

Reference 42

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Observation 0fe9c0ff-2250-4590-a47d-db5d7ac059b8 · outbound

This paper cites “how biased are your features?.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems “how biased are your features?

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.936949Z

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This paper cites John Wiley & Sons, Ltd, 2007, ch.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems John Wiley & Sons, Ltd, 2007, ch

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.925276Z

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This paper cites John Wiley & Sons, Ltd, 2007.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems John Wiley & Sons, Ltd, 2007

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.913509Z

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This paper cites Statistical methods for research workers,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Statistical methods for research workers,

Reference 46

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This paper cites Cohen, P.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Cohen, P

Reference 47

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This paper cites Hartman, Software and Hardware Testing Using Combinatorial Covering Suites.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Hartman, Software and Hardware Testing Using Combinatorial Covering Suites

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.877023Z

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FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Unresolved cited work

Reference 49

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FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Unresolved cited work

Reference 50

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Observation 830f7a1c-8701-4a54-be7a-c9a2bcfddfe1 · outbound

This paper cites Dosing discrimination: regulating pdmp risk scores,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Dosing discrimination: regulating pdmp risk scores,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.835444Z

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This paper cites Predictive modelling of susceptibility to substance abuse, mortality and drug-drug interactions in opioid patients,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Predictive modelling of susceptibility to substance abuse, mortality and drug-drug interactions in opioid patients,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.822799Z

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This paper cites Mimic-iv, a freely accessible electronic health record dataset,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Mimic-iv, a freely accessible electronic health record dataset,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.811043Z

Source-reported events for the cited work

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Observation 77697e85-e815-4406-b0b3-8798423181df · outbound

This paper cites Compstat and organizational change: A national assessment,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Compstat and organizational change: A national assessment,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.799816Z

Source-reported events for the cited work

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This paper cites To predict and serve?.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems To predict and serve?

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.788392Z

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 5f7bbf1f-8b00-42c8-b271-01aff78e7c4c · outbound

This paper cites A similarity measure for indefinite rankings,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems A similarity measure for indefinite rankings,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.777030Z

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This paper cites A new measure of rank correlation,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems A new measure of rank correlation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.765025Z

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This paper cites Long-term fairness with unknown dynamics,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Long-term fairness with unknown dynamics,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.752897Z

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 8275daf6-d3c5-4236-98a3-1b8f431f0b74 · outbound

This paper cites A call for better validation of opioid overdose risk algorithms,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems A call for better validation of opioid overdose risk algorithms,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.740453Z

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 2dbfcf94-3824-4c21-9e25-d5019bd09d93 · outbound

This paper cites Hidden risks of machine learning applied to healthcare: unintended feed- back loops between models and future data causing model degradation,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Hidden risks of machine learning applied to healthcare: unintended feed- back loops between models and future data causing model degradation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.727940Z

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 96104d48-253b-423f-9466-f878d8d70553 · outbound

This paper cites A comparative study of fairness-enhancing interventions in machine learning,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems A comparative study of fairness-enhancing interventions in machine learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.713904Z

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 557af9f3-44cf-4b4e-ab6a-c112681a9f01 · outbound

This paper cites Fairness-aware configuration of machine learning libraries,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness-aware configuration of machine learning libraries,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:31.936062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4a64eb-ad28-496d-b93c-ea1bd27a2321 · outbound

This paper cites “ignorance and prejudice.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems “ignorance and prejudice

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.691068Z

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 69427084-16e7-4190-9b0d-a9faf3b2da50 · outbound

This paper cites Fair enough: Searching for sufficient measures of fairness,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fair enough: Searching for sufficient measures of fairness,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.678726Z

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 1579aa59-e3e3-4876-936c-5cf614d83568 · outbound

This paper cites Learning fair representations,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Learning fair representations,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.666833Z

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 ffc078d3-a32d-45b4-86f0-468b7124346c · outbound

This paper cites Certifying and removing disparate impact,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Certifying and removing disparate impact,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.655793Z

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 a284b49a-02ec-4b6b-96f1-8d273c18c1a7 · outbound

This paper cites Fairness constraints: Mechanisms for fair classification,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness constraints: Mechanisms for fair classification,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.643344Z

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 657dd8bf-2e49-460f-92d9-15770ed60c07 · outbound

This paper cites Data preprocessing techniques for classifi- cation without discrimination,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Data preprocessing techniques for classifi- cation without discrimination,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.632608Z

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 c37808f6-6eb8-4a2f-827e-b439a7724720 · outbound

This paper cites Mitigating unwanted biases with adversarial learning,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Mitigating unwanted biases with adversarial learning,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.621769Z

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 b04e6a1e-bdb7-4c1f-9659-fdfba76ebda8 · outbound

This paper cites Fairness-aware classifier with prejudice remover regularizer,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness-aware classifier with prejudice remover regularizer,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.609585Z

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 26539e8e-018f-42cc-bb99-8ef84912300f · outbound

This paper cites Maat: a novel ensemble approach to addressing fairness and performance bugs for machine learning software,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Maat: a novel ensemble approach to addressing fairness and performance bugs for machine learning software,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.598877Z

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 8386566c-9026-44d0-9dca-044b72b2e449 · outbound

This paper cites Are my deep learning systems fair? an empirical study of fixed-seed training,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Are my deep learning systems fair? an empirical study of fixed-seed training,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.587761Z

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 5afd56bc-2eb5-4a92-b6a7-42df7442cb45 · outbound

This paper cites Adaptive fairness improvement based on causality analysis,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Adaptive fairness improvement based on causality analysis,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.576637Z

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 a23c9554-b888-41ed-98c8-29866bd4b5bc · outbound

This paper cites Improving fairness in machine learning systems: What do industry practitioners need?.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Improving fairness in machine learning systems: What do industry practitioners need?

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.563411Z

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 014250fa-9972-40b3-b35d-ae17bbfc0532 · outbound

This paper cites Neuronfair: Interpretable white-box fairness testing through biased neuron identification,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Neuronfair: Interpretable white-box fairness testing through biased neuron identification,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.551327Z

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 7147dd9e-f806-420c-a262-b3309693dec0 · outbound

This paper cites Explanation-guided fairness testing through genetic algorithm,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Explanation-guided fairness testing through genetic algorithm,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.538832Z

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 94439828-48df-466c-84ea-7148f8ec2a14 · outbound

This paper cites Information- theoretic testing and debugging of fairness defects in deep neural networks,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Information- theoretic testing and debugging of fairness defects in deep neural networks,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.525717Z

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 6ea0b077-ae26-4c99-a169-b156ca3b7e6b · outbound

This paper cites Astraea: Grammar- based fairness testing,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Astraea: Grammar- based fairness testing,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.512695Z

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 5bdaaf46-61f5-4342-8e6e-887a2190f621 · outbound

This paper cites Fairsquare: probabilistic verification of program fairness,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairsquare: probabilistic verification of program fairness,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.500496Z

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 1814680b-bb23-4597-b1fb-195a13ad61a9 · outbound

This paper cites Probabilistic verification of fairness properties via concentration,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Probabilistic verification of fairness properties via concentration,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.488624Z

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 90c6c8a0-e94d-42dd-95ee-85ffcf994a93 · outbound

This paper cites Verifying individual fairness in machine learning models,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Verifying individual fairness in machine learning models,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.476867Z

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 48a6dfa3-bd46-48c1-b4a1-9755278392fa · outbound

This paper cites Certifying the fairness of knn in the presence of dataset bias,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Certifying the fairness of knn in the presence of dataset bias,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.465214Z

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 c797cae2-fb6a-44ca-82ef-970292c897ae · outbound

This paper cites Fairea: A model behaviour mutation approach to benchmarking bias mitigation methods,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairea: A model behaviour mutation approach to benchmarking bias mitigation methods,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.453955Z

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 60070e66-48c6-45fc-85ef-e4cbd3832042 · outbound

This paper cites Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:32.016230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b5cfeb6-9c29-40c7-90ef-70b9ae8c661d · outbound

This paper cites Achieving long-term fairness in sequential decision making,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Achieving long-term fairness in sequential decision making,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.442742Z

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 9c6c2698-b720-4147-ba79-791602339bd4 · outbound

This paper cites Algorithms for fairness in sequential decision making,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Algorithms for fairness in sequential decision making,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.432042Z

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 0f89eb85-b7ab-425a-81e1-1f7dcb9755c7 · outbound

This paper cites From fair decision making to social equality,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems From fair decision making to social equality,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.421438Z

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 edb1b6b2-b1e0-4bc6-b6c0-ee77fa8d4990 · outbound

This paper cites Fairness-aware programming,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness-aware programming,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.410507Z

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 7bf13669-ca9a-4b93-95fa-d49430c2fa64 · outbound

This paper cites Monitoring algorithmic fairness,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Monitoring algorithmic fairness,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.399606Z

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 7381214c-7ddc-4f5f-86af-015c339fb26f · outbound

This paper cites Enforcing Delayed-Impact Fairness Guarantees.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Enforcing Delayed-Impact Fairness Guarantees

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:32.040789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d2e24bd-6a43-41a7-9068-3b4cbe872b77 · outbound

This paper cites Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:27:32.152859Z

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 9e4652ca-7fb9-4d4d-b45d-006cacdb9ab2 · outbound

This paper cites The long arc of fairness: Formalisations and ethical discourse,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems The long arc of fairness: Formalisations and ethical discourse,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.388846Z

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 5be93b08-4101-4af6-8aa4-b8f4d07575b5 · outbound

This paper cites Fairness and abstraction in sociotechnical systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Fairness and abstraction in sociotechnical systems,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.378226Z

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 1b031471-5f3c-4d03-8dd4-3948da0b000b · outbound

This paper cites Requirements engineering for feedback loops in software-intensive systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Requirements engineering for feedback loops in software-intensive systems,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.366665Z

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 69cd4083-12f7-4da4-b3ea-10e21e1f8b57 · outbound

This paper cites an unresolved cited work.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:27:32.355310Z

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 00b2b14b-f331-496b-a1a6-9ba7b386ae5e · outbound

This paper cites Data feedback loops: Model-driven amplification of dataset biases,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Data feedback loops: Model-driven amplification of dataset biases,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.343141Z

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 5eead0f4-a600-4fd2-8e90-ae202d965c14 · outbound

This paper cites Hidden Incentives for Auto-Induced Distributional Shift.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Hidden Incentives for Auto-Induced Distributional Shift

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-10T22:27:32.068823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faf5213b-f1d9-4c8a-86b7-1ce482ad3a27 · outbound

This paper cites Quinonero-Candela, M.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Quinonero-Candela, M

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.330947Z

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 d93e73d6-8b72-423b-ac68-04c758a62047 · outbound

This paper cites Self-adaptation for machine learning based systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Self-adaptation for machine learning based systems,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.318944Z

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 397928cc-7287-4c76-a595-8f1ba118e3b5 · outbound

This paper cites Models for understanding and quantifying feedback in societal systems,.

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Models for understanding and quantifying feedback in societal systems,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:27:32.304303Z

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.

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