A Critical Field Guide for Working with Machine Learning Datasets | Paper Citation Record

Observation 432aeb7b-95ce-43fd-b5ed-5bcd9e8c0b09 · outbound

This paper cites Browne, Dark matters: on the surveillance of blackness.

A Critical Field Guide for Working with Machine Learning Datasets Browne, Dark matters: on the surveillance of blackness

Reference 4

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This paper cites Making data colonialism liveable: how might data’s social order be regulated?,.

A Critical Field Guide for Working with Machine Learning Datasets Making data colonialism liveable: how might data’s social order be regulated?,

Reference 5

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This paper cites Machine Bias,.

A Critical Field Guide for Working with Machine Learning Datasets Machine Bias,

Reference 6

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This paper cites 17. Classification — Computational and Inferential Thinking,.

A Critical Field Guide for Working with Machine Learning Datasets 17. Classification — Computational and Inferential Thinking,

Reference 7

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This paper cites Leonelli, Data-Centric Biology: A Philosophical Study.

A Critical Field Guide for Working with Machine Learning Datasets Leonelli, Data-Centric Biology: A Philosophical Study

Reference 8

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This paper cites The Relevance of Algorithms,.

A Critical Field Guide for Working with Machine Learning Datasets The Relevance of Algorithms,

Reference 9

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This paper cites Raw data.

A Critical Field Guide for Working with Machine Learning Datasets Raw data

Reference 10

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This paper cites Koopman, How We Became Our Data: A Genealogy of the Informational Person.

A Critical Field Guide for Working with Machine Learning Datasets Koopman, How We Became Our Data: A Genealogy of the Informational Person

Reference 11

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 12

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This paper cites Kitchin, Data Lives.

A Critical Field Guide for Working with Machine Learning Datasets Kitchin, Data Lives

Reference 13

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This paper cites Gleick, The information: a history, a theory, a flood, 1st Vintage Books ed., 2012.

A Critical Field Guide for Working with Machine Learning Datasets Gleick, The information: a history, a theory, a flood, 1st Vintage Books ed., 2012

Reference 14

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 15

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This paper cites Algorithmic culture,.

A Critical Field Guide for Working with Machine Learning Datasets Algorithmic culture,

Reference 16

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This paper cites Datson, Rules.

A Critical Field Guide for Working with Machine Learning Datasets Datson, Rules

Reference 17

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This paper cites Chollet, Deep Learning with Python, Second Edition.

A Critical Field Guide for Working with Machine Learning Datasets Chollet, Deep Learning with Python, Second Edition

Reference 18

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This paper cites The ontology explorer: A method to make visible data infrastructures for population management,.

A Critical Field Guide for Working with Machine Learning Datasets The ontology explorer: A method to make visible data infrastructures for population management,

Reference 19

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This paper cites Lawsuits allege Microsoft, Amazon and Google violated Illinois facial recognition privacy law,.

A Critical Field Guide for Working with Machine Learning Datasets Lawsuits allege Microsoft, Amazon and Google violated Illinois facial recognition privacy law,

Reference 20

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This paper cites Facial recognition’s ‘dirty little secret’: Social media photos used without consent,.

A Critical Field Guide for Working with Machine Learning Datasets Facial recognition’s ‘dirty little secret’: Social media photos used without consent,

Reference 21

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This paper cites Critical Dataset Studies Reading List,.

A Critical Field Guide for Working with Machine Learning Datasets Critical Dataset Studies Reading List,

Reference 22

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This paper cites Yolanda Gil: Teaching Data Science to Non-Programmers,.

A Critical Field Guide for Working with Machine Learning Datasets Yolanda Gil: Teaching Data Science to Non-Programmers,

Reference 23

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This paper cites Datasheets for Datasets.

A Critical Field Guide for Working with Machine Learning Datasets Datasheets for Datasets

Reference 24

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This paper cites Crawford, Atlas of AI: power, politics, and the planetary costs of artificial intelligence.

A Critical Field Guide for Working with Machine Learning Datasets Crawford, Atlas of AI: power, politics, and the planetary costs of artificial intelligence

Reference 25

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This paper cites Cady, The data science handbook.

A Critical Field Guide for Working with Machine Learning Datasets Cady, The data science handbook

Reference 26

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This paper cites Friedman and D.

A Critical Field Guide for Working with Machine Learning Datasets Friedman and D

Reference 27

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This paper cites Using artificial intelligence, geo-journalism and data journalism, journalists dodge some of the dangers of covering the Amazon,.

A Critical Field Guide for Working with Machine Learning Datasets Using artificial intelligence, geo-journalism and data journalism, journalists dodge some of the dangers of covering the Amazon,

Reference 28

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This paper cites Ithaca | Restoring and attributing ancient texts using deep neural networks,.

A Critical Field Guide for Working with Machine Learning Datasets Ithaca | Restoring and attributing ancient texts using deep neural networks,

Reference 30

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This paper cites On the Endless Infrastructural Reach of a Phoneme,.

A Critical Field Guide for Working with Machine Learning Datasets On the Endless Infrastructural Reach of a Phoneme,

Reference 31

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This paper cites CALLFRIEND Egyptian Arabic.

A Critical Field Guide for Working with Machine Learning Datasets CALLFRIEND Egyptian Arabic

Reference 32

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This paper cites CALLHOME Egyptian Arabic Speech.

A Critical Field Guide for Working with Machine Learning Datasets CALLHOME Egyptian Arabic Speech

Reference 33

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This paper cites Eine Software des BAMF bringt Menschen in Gefahr,.

A Critical Field Guide for Working with Machine Learning Datasets Eine Software des BAMF bringt Menschen in Gefahr,

Reference 34

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This paper cites Personal conversation,.

A Critical Field Guide for Working with Machine Learning Datasets Personal conversation,

Reference 35

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This paper cites On̸ ̸The App̸arentl̸y ̸Me̸aningl̸e̸ss Texture of Noise̸.

A Critical Field Guide for Working with Machine Learning Datasets On̸ ̸The App̸arentl̸y ̸Me̸aningl̸e̸ss Texture of Noise̸

Reference 36

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A Critical Field Guide for Working with Machine Learning Datasets Researchers train AI on ‘synthetic data’ to uncover Syrian war crimes,

Reference 37

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This paper cites AI Emerges as Crucial Tool for Groups Seeking Justice for Syria War Crimes,.

A Critical Field Guide for Working with Machine Learning Datasets AI Emerges as Crucial Tool for Groups Seeking Justice for Syria War Crimes,

Reference 38

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This paper cites Data Science 4 All – a user friendly data science learning site.

A Critical Field Guide for Working with Machine Learning Datasets Data Science 4 All – a user friendly data science learning site

Reference 39

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This paper cites McKinney, Python for Data Analysis, 3E, Open 3rd Edition.

A Critical Field Guide for Working with Machine Learning Datasets McKinney, Python for Data Analysis, 3E, Open 3rd Edition

Reference 40

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This paper cites Accessed: Jul.

A Critical Field Guide for Working with Machine Learning Datasets Accessed: Jul

Reference 41

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This paper cites Consider Data Cleaning v1.1,.

A Critical Field Guide for Working with Machine Learning Datasets Consider Data Cleaning v1.1,

Reference 42

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This paper cites McPherson, Feminist in a Software Lab: Difference + Design.

A Critical Field Guide for Working with Machine Learning Datasets McPherson, Feminist in a Software Lab: Difference + Design

Reference 43

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This paper cites The Library of Missing Datasets — MIMI ỌNỤỌHA,.

A Critical Field Guide for Working with Machine Learning Datasets The Library of Missing Datasets — MIMI ỌNỤỌHA,

Reference 44

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This paper cites Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics,.

A Critical Field Guide for Working with Machine Learning Datasets Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics,

Reference 45

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This paper cites The Point of Collection,.

A Critical Field Guide for Working with Machine Learning Datasets The Point of Collection,

Reference 46

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This paper cites Responsible Data Handbook | Getting Data.

A Critical Field Guide for Working with Machine Learning Datasets Responsible Data Handbook | Getting Data

Reference 47

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This paper cites Responsible Data Handbook.

A Critical Field Guide for Working with Machine Learning Datasets Responsible Data Handbook

Reference 48

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This paper cites Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.

A Critical Field Guide for Working with Machine Learning Datasets Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 49

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A Critical Field Guide for Working with Machine Learning Datasets A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication,

Reference 50

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This paper cites Design Justice for Action,.

A Critical Field Guide for Working with Machine Learning Datasets Design Justice for Action,

Reference 51

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Observation 094774d0-9a7b-453b-8155-880cb3b9fca0 · outbound

This paper cites Ten simple rules for responsible big data research,.

A Critical Field Guide for Working with Machine Learning Datasets Ten simple rules for responsible big data research,

Reference 52

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Observation 9ecc9345-59f8-436d-8947-7323c582951e · outbound

This paper cites The Data Ethics Canvas.

A Critical Field Guide for Working with Machine Learning Datasets The Data Ethics Canvas

Reference 54

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Observation 1708160c-f674-4d5b-8f62-d2a81d0f3871 · outbound

This paper cites Local Contexts – Grounding Indigenous Rights.

A Critical Field Guide for Working with Machine Learning Datasets Local Contexts – Grounding Indigenous Rights

Reference 55

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Observation bb044a67-332c-4164-82d1-3c0383d6ebea · outbound

This paper cites FAIR Principles,.

A Critical Field Guide for Working with Machine Learning Datasets FAIR Principles,

Reference 56

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Observation 8915baaf-390e-40c0-bb45-41ae1ee990f6 · outbound

This paper cites CARE Principles of Indigenous Data Governance,.

A Critical Field Guide for Working with Machine Learning Datasets CARE Principles of Indigenous Data Governance,

Reference 57

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Observation 9c45ae34-0ca7-43b0-b716-7faf085786ab · outbound

This paper cites The Problem With Bias: Allocative Versus Representational Harms in Machine Learning.,.

A Critical Field Guide for Working with Machine Learning Datasets The Problem With Bias: Allocative Versus Representational Harms in Machine Learning.,

Reference 58

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This paper cites Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code, 1 edition.

A Critical Field Guide for Working with Machine Learning Datasets Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code, 1 edition

Reference 59

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This paper cites Data and its (dis)contents: A survey of dataset development and use in machine learning research,.

A Critical Field Guide for Working with Machine Learning Datasets Data and its (dis)contents: A survey of dataset development and use in machine learning research,

Reference 60

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This paper cites A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle,.

A Critical Field Guide for Working with Machine Learning Datasets A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle,

Reference 61

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This paper cites The Data-Production Dispositif.

A Critical Field Guide for Working with Machine Learning Datasets The Data-Production Dispositif

Reference 62

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Observation 3c7ccaf8-a3df-4f35-ac2b-10b23fb82341 · outbound

This paper cites Apprich, W.

A Critical Field Guide for Working with Machine Learning Datasets Apprich, W

Reference 64

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This paper cites Feeling fixes: Mess and emotion in algorithmic audits,.

A Critical Field Guide for Working with Machine Learning Datasets Feeling fixes: Mess and emotion in algorithmic audits,

Reference 65

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This paper cites Language (Technology) is Power: A Critical Survey of "Bias" in NLP.

A Critical Field Guide for Working with Machine Learning Datasets Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 66

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 67

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This paper cites Large image datasets: A pyrrhic win for computer vision?.

A Critical Field Guide for Working with Machine Learning Datasets Large image datasets: A pyrrhic win for computer vision?

Reference 68

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This paper cites Blair, P.

A Critical Field Guide for Working with Machine Learning Datasets Blair, P

Reference 69

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This paper cites The Power to Name: Representation in Library Catalogs,.

A Critical Field Guide for Working with Machine Learning Datasets The Power to Name: Representation in Library Catalogs,

Reference 70

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Observation 837bf942-c5e0-4fef-afd5-7fb503902a6d · outbound

This paper cites Critical Algorithm Studies: a Reading List,.

A Critical Field Guide for Working with Machine Learning Datasets Critical Algorithm Studies: a Reading List,

Reference 71

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This paper cites 50 Years of Test (Un)fairness: Lessons for Machine Learning,.

A Critical Field Guide for Working with Machine Learning Datasets 50 Years of Test (Un)fairness: Lessons for Machine Learning,

Reference 72

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Observation dda51ad5-351f-4a29-b568-6c824c93cd6c · outbound

This paper cites Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair.

A Critical Field Guide for Working with Machine Learning Datasets Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair

Reference 73

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This paper cites A Survey on Bias and Fairness in Machine Learning.

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

Reference 74

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Observation b8a58dbb-f0fd-457a-b932-cfcc2b1a06fc · outbound

This paper cites State-of-the-art generalisation research in NLP: A taxonomy and review.

A Critical Field Guide for Working with Machine Learning Datasets State-of-the-art generalisation research in NLP: A taxonomy and review

Reference 75

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This paper cites Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments,.

A Critical Field Guide for Working with Machine Learning Datasets Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments,

Reference 76

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This paper cites Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics,.

A Critical Field Guide for Working with Machine Learning Datasets Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics,

Reference 77

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f81c3e41-420e-47f0-99d7-39f5b3c7a007 · outbound

This paper cites Intersectionality,.

A Critical Field Guide for Working with Machine Learning Datasets Intersectionality,

Reference 79

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Observation 61302085-9772-4e03-8e9c-dc547dd22a47 · outbound

This paper cites Intersectionality,.

A Critical Field Guide for Working with Machine Learning Datasets Intersectionality,

Reference 80

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Observation 45b48f65-3c19-4014-acf2-f6c018b49caf · outbound

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 81

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Observation d812be10-aae5-4860-a9b6-abbc6eaab08b · outbound

This paper cites Intersectional AI Toolkit,.

A Critical Field Guide for Working with Machine Learning Datasets Intersectional AI Toolkit,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:17:58.287517Z

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Observation c61477ba-c332-409f-8a0c-7fbe7a64e50c · outbound

This paper cites Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation,.

A Critical Field Guide for Working with Machine Learning Datasets Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T14:17:56.975390Z

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This paper cites Don’t ask if artificial intelligence is good or fair, ask how it shifts power,.

A Critical Field Guide for Working with Machine Learning Datasets Don’t ask if artificial intelligence is good or fair, ask how it shifts power,

Reference 84

Resolution: verified exact; doi, observed 2026-08-10T14:17:57.070544Z

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Observation 332b7498-60fd-4d0f-b858-a5abe761bb3c · outbound

This paper cites Data Violence and How Bad Engineering Choices Can Damage Society,.

A Critical Field Guide for Working with Machine Learning Datasets Data Violence and How Bad Engineering Choices Can Damage Society,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:17:58.276741Z

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Observation 9bfdd21b-0f4a-4bbc-880e-15013ca2cd51 · outbound

This paper cites Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?,.

A Critical Field Guide for Working with Machine Learning Datasets Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?,

Reference 86

Resolution: verified exact; doi, observed 2026-08-10T14:17:57.059309Z

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Observation fae123f0-ab5a-4fae-85b7-af56f792a88c · outbound

This paper cites Managing Bias When Library Collections Become Data,.

A Critical Field Guide for Working with Machine Learning Datasets Managing Bias When Library Collections Become Data,

Reference 87

Resolution: verified exact; doi, observed 2026-08-10T14:17:57.047775Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7775dd6-3deb-4ebf-81e3-e3b2cd00a7ab · outbound

This paper cites Sinclair and J.

A Critical Field Guide for Working with Machine Learning Datasets Sinclair and J

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:17:58.265684Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4259f0af-e8cb-47a2-a706-ce8d4cc7748b · outbound

This paper cites Hugging Face.

A Critical Field Guide for Working with Machine Learning Datasets Hugging Face

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:17:58.254800Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2478c1ce-2425-40d3-84b6-cfbe3bfea4b4 · outbound

This paper cites an unresolved cited work.

A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:17:58.244318Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a93fa94-a4a5-4550-b08b-04d93c34170a · outbound

This paper cites Papers With Code.

A Critical Field Guide for Working with Machine Learning Datasets Papers With Code

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:17:58.233131Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbfd600c-0621-4960-86cd-67a60d3ecd7f · outbound

This paper cites re3data.org.

A Critical Field Guide for Working with Machine Learning Datasets re3data.org

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:17:58.221999Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Outbound references

Pith citing papers