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Paper Citation Record · LEDGER

A Critical Field Guide for Working with Machine Learning Datasets

As of 12 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2501.15491.

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

pith.paper-citation-record.v1
2501.15491 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:17:57.012572Z

measured 85 of 85 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

  • verified exact17
  • verified fuzzy41
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

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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Observation e9aee240-b942-4e33-a0ab-0b64282c90f9 · outbound

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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Observation fc51d7dd-c7de-42fc-be16-22ef984edd89 · outbound

This paper cites Machine Bias,.

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

Reference 6

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Observation 06c2dcef-62f8-4dcf-9298-9f60c11d4cc9 · outbound

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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source=pdf_text observed=2026-08-10T14:17:56.679260Z digest=sha256:0df2cd96853b816c32a3b8d4e4f14ce3fa413d3a0e7839ba50925ee0c4e69445

Observation 6959bdad-51c5-4f7d-9fc5-046963c2f261 · outbound

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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source=pdf_text observed=2026-08-10T14:17:56.682996Z digest=sha256:562ff572ae7cea37e6d02a83f8627ceb980e09744ff96bdf7f3b6b3d0511268c

Observation 8b9a0aa7-6341-4abb-8d1a-8afdf9209dae · outbound

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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source=pdf_text observed=2026-08-10T14:17:56.686872Z digest=sha256:7c42c7d523dce61ace36372538405551424cef8cdf9781df656881be487557e1

Observation 28cc2b2f-5fd9-454e-b936-afcc2ee39ecc · outbound

This paper cites Raw data.

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

Reference 10

Resolution
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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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Observation f46abc18-ecc6-4835-bd77-3bc8351c4c58 · outbound

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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Observation aec0c453-53fc-4148-9381-0559eed8323f · outbound

This paper cites an unresolved cited work.

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

Reference 12

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

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Observation f627ca65-310e-4ee3-9c2b-c531b58f69a0 · outbound

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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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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Observation 48d83075-78a4-41d7-8d54-eb42743e9aff · outbound

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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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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Observation 1a201693-3d30-4507-ae76-b899b669ac91 · outbound

This paper cites an unresolved cited work.

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

Reference 15

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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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Observation 98b5958a-0baf-4e5c-ab3d-57e81322295f · outbound

This paper cites Algorithmic culture,.

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

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5532454-38a8-4c5e-a067-5b7ee62dab55 · outbound

This paper cites Datson, Rules.

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

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33bac48e-5644-430d-9274-662600c39148 · outbound

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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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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Observation e76319bd-75d9-4711-9f25-753fd974968b · outbound

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

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Observation 7d50c722-8ee1-4542-b1e3-c1c8681e751e · outbound

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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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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Observation 6c717e8d-3482-4e12-bc44-9a6bbde3b3d5 · outbound

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

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Observation eb6d048b-899f-4e84-8e07-699602222636 · outbound

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

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Observation bd3808dc-9c6c-40be-8cdc-7d4e551a0e7e · outbound

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

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Observation 3231cbbe-86a7-4f9e-8189-f18f241681b9 · outbound

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b1908cdd-b84f-42fe-80f5-d206bf5e46f9 · outbound

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

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Observation 40949169-c28f-4ac2-b05e-faade24c3e17 · outbound

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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Observation 2bc26e09-7967-4e57-a59e-6de78a22efda · outbound

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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Observation fca41932-d038-4014-8408-b18b3e6ae542 · outbound

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

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Observation c6dc651c-e923-4706-9749-6a18875895e7 · outbound

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

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Observation 4e212eb6-6479-4928-81b7-667222a3eb60 · outbound

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

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Observation 803149f0-5933-431d-96f5-39bde045b2cc · outbound

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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doi, observed 2026-08-10T14:17:57.191830Z

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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Observation 185bbcc8-4ff5-40eb-8124-327587faf30b · outbound

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

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Observation cd67c63a-9be5-40f7-801d-066266c0daa8 · outbound

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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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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Observation 7e9252e7-9944-416f-859f-364a09df90a1 · outbound

This paper cites Personal conversation,.

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

Reference 35

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raw_fallback, observed 2026-08-10T14:17:58.530337Z

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

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Observation 73bf8f7a-220f-41d9-9f59-5b377fffb3e4 · outbound

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

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Observation 7b344d44-06fc-4329-8fb7-064c1093f996 · outbound

This paper cites Researchers train AI on ‘synthetic data’ to uncover Syrian war crimes,.

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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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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Observation fabf4ef5-1ed3-437c-9695-f3b45eb8779c · outbound

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

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Observation bbd7933c-513d-404f-93ad-43bd095e3abf · outbound

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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raw_fallback, observed 2026-08-10T14:17:58.509327Z

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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Observation a3b813df-f345-4ec6-a0c8-0f4d3a8bfa18 · outbound

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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raw_fallback, observed 2026-08-10T14:17:58.498600Z

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.

source=pdf_text observed=2026-08-10T14:17:56.804563Z digest=sha256:7a854f35e96e60fb20a51347cb6195a89cb5ed797231530dd22c913ae3b8df68

Observation 6abc5d89-8a3c-46da-9d7c-e6428fc7dfc3 · outbound

This paper cites Accessed: Jul.

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

Reference 41

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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.

source=pdf_text observed=2026-08-10T14:17:56.808159Z digest=sha256:9ebe9adbfb63e0da5beeea5022a0e6f3088daf066aa929176a705a75f83dd1ad

Observation 91590a55-a236-45c2-a5e1-35c1a02240ea · outbound

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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raw_fallback, observed 2026-08-10T14:17:58.488193Z

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.

source=pdf_text observed=2026-08-10T14:17:56.812323Z digest=sha256:31d0833ebea1887f95cb4125c65439dddda0a58ab94136f7fb309049eae245b4

Observation f2a0ff22-1456-4d0f-af58-1c86b819a1bd · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.477733Z

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.

source=pdf_text observed=2026-08-10T14:17:56.816326Z digest=sha256:a2a371ff9f0d542c1e4fc1c70a20360b2630d8cfcba73602b6f85c6042ddd074

Observation a1ec60dc-1044-44f1-a392-0bd757cfae10 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.467118Z

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.

source=pdf_text observed=2026-08-10T14:17:56.819893Z digest=sha256:118af4b1b0294b324101ed49de39c57597c15f381a0719b3376839fd48ac79b9

Observation 1bf63a9d-4cc0-4acc-a214-65e6217ae208 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.456525Z

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.

source=pdf_text observed=2026-08-10T14:17:56.823960Z digest=sha256:1ab44e5b15e0af7dba04d97b36416246d44f537bdd7d121b748904e6fff58cd0

Observation 929bab14-f20b-477c-8823-86c1f3cf95cc · outbound

This paper cites The Point of Collection,.

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

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.445039Z

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.

source=pdf_text observed=2026-08-10T14:17:56.828083Z digest=sha256:3e9873fc09b1e9d444af488ec00d469a55c33d1b0f364b1c8e9893741615ec88

Observation a6b48f25-851f-483a-a0ec-5499ef9f0d0e · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.433001Z

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.

source=pdf_text observed=2026-08-10T14:17:56.832702Z digest=sha256:80ffe0d98b505199cd5019fc4b24535fd05bc22eb04840475a15f7108f7b4873

Observation 16bc2345-67e3-4c8e-b6f6-e6115baea665 · outbound

This paper cites Responsible Data Handbook.

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

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.421256Z

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.

source=pdf_text observed=2026-08-10T14:17:56.836873Z digest=sha256:20efdca050f50f595b47f8be8a7c66036a0184ff6974cbb8b972f89deef2c701

Observation fc6c4e04-1ae8-4913-a048-3f52f33a9309 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:56.840782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.840782Z digest=sha256:02d867812693ccf40813c4700a13cc912c0f8a6ed3a518ea60b5392e2e18f522

Observation 57e5c014-f687-4bf3-b555-b311199fa0ab · outbound

This paper cites A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication,.

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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no resolver link, observed 2026-08-10T14:17:56.844889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.844889Z digest=sha256:af002937340902cc970876acee7ec534b0f1f739cb3aa4ef9663bfa1c2cc1355

Observation 4cc7370e-32bf-45e7-91d2-55119a9f8e17 · outbound

This paper cites Design Justice for Action,.

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

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.410931Z

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.

source=pdf_text observed=2026-08-10T14:17:56.848890Z digest=sha256:b90bb42b7c058ace989288dec6d1181e4fd1394db87df79dd6183bafe6a38e8b

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

Resolution
verified exact
doi, observed 2026-08-10T14:17:57.157205Z

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.

source=pdf_text observed=2026-08-10T14:17:56.852629Z digest=sha256:e180bbff0c21ab6e62bd832e380a58b1fabb579221f0bba2ba2241c6d6f55849

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.390958Z

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.

source=pdf_text observed=2026-08-10T14:17:56.860302Z digest=sha256:100f5b3892c4b3f0551961cbba4bc8a2162cf080cde23b119753f6e30b67d522

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.380814Z

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.

source=pdf_text observed=2026-08-10T14:17:56.864121Z digest=sha256:2adc7f236541c16e49c274301d617dbb7372dcda7c3af9b760c560956d1513cb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.369674Z

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.

source=pdf_text observed=2026-08-10T14:17:56.867808Z digest=sha256:a2e9d17ed7d8b262c6d7080df8545328c7e7e6b5fc62b40b5e37679625c7763a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.401131Z

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.

source=pdf_text observed=2026-08-10T14:17:56.871468Z digest=sha256:da5fed45971336267ab3900578a6b8d6b361cb79d5bd4470b540b71056968c95

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.359801Z

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.

source=pdf_text observed=2026-08-10T14:17:56.875313Z digest=sha256:972305d6a0255b20da09b7de2ed7552dcb09b1813aa7742a40653b738e4833cb

Observation 33c8512c-6386-457b-9858-c10e034adc8b · outbound

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

Resolution
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raw_fallback, observed 2026-08-10T14:17:58.349771Z

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.

source=pdf_text observed=2026-08-10T14:17:56.879312Z digest=sha256:d66cfa7506ed3d8be9d51e9eadfe4ef861cd90891064000d4a7387cf70cef610

Observation d25f741a-bd33-4699-928c-795704995ce0 · outbound

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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no resolver link, observed 2026-08-10T14:17:56.883056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.883056Z digest=sha256:f2ea81c7b6f694e8701dc3e5b383172433635ad040eda15c5eb1e322303dd0df

Observation c74c88c1-dfe0-4be0-a33b-f9e7dd650298 · outbound

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

Resolution
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no resolver link, observed 2026-08-10T14:17:56.886508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.886508Z digest=sha256:3e935347cbf14e7da0074bbe197ea5114eeae410a915900bd9b9f4253bfa6928

Observation 70845bc3-e64f-4d60-8e3b-c4f4457b4852 · outbound

This paper cites The Data-Production Dispositif.

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

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:17:57.146147Z

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.

source=pdf_text observed=2026-08-10T14:17:56.890102Z digest=sha256:5034ec98f894199fab64add4e5621dbcd58476a29c57ff4fb07d53caac5fdd75

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.339437Z

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.

source=pdf_text observed=2026-08-10T14:17:56.898294Z digest=sha256:a596b87fcb74673dc2edb9969be4997e3e02f68895a13dd38941c7a861402fc8

Observation 26008ba5-f3ed-424c-9773-27e6d9558f54 · outbound

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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no resolver link, observed 2026-08-10T14:17:56.901994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.901994Z digest=sha256:5a5e8656f4292273c31d60e5ff667842df2a064fcc96ff5dedbe26d7253bdab3

Observation 69310cdc-40e9-4c7b-ab07-388cae82ccab · outbound

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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no resolver link, observed 2026-08-10T14:17:56.906728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.906728Z digest=sha256:35156f91d4e82ca04c5fc1ccc5315b20590e5f4fdb9f7adda6d3a4c943feefd6

Observation d11f85d5-3299-424f-b714-bc651261cae2 · outbound

This paper cites an unresolved cited work.

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

Reference 67

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unresolved
raw_fallback, observed 2026-08-10T14:17:58.329159Z

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.

source=pdf_text observed=2026-08-10T14:17:56.910744Z digest=sha256:ebb1e7e6b6b32b489fe4a6d2bc627280cd2e28d6eed0a59fb8e0e98f09699379

Observation d3aa59c3-f797-4ad1-9be7-a653e24032d6 · outbound

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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no resolver link, observed 2026-08-10T14:17:56.914750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.914750Z digest=sha256:70b3ef4e9cc9d9258497793343d5b2d9a2c9fb6027ce8ff5db6b21c12427f6fe

Observation 0150aa84-9b20-49d6-b6d9-bcfcb09c527f · outbound

This paper cites Blair, P.

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

Reference 69

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doi, observed 2026-08-10T14:17:57.104829Z

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.

source=pdf_text observed=2026-08-10T14:17:56.919168Z digest=sha256:7b3d27e9d853aeee9f579a55bbd99b8921f7845ccf43894cfb76fe7745b16146

Observation c741473a-816f-4ba6-b7f7-e5ca6b786d3a · outbound

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

Resolution
verified exact
doi, observed 2026-08-10T14:17:57.092069Z

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.

source=pdf_text observed=2026-08-10T14:17:56.923581Z digest=sha256:95364d349f6b83d241efbb4dea404932212925b0691b16cf9e7f935b3306ff13

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.318828Z

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.

source=pdf_text observed=2026-08-10T14:17:56.929077Z digest=sha256:edeae506b0aa5c93e6214626b28b9f6de1fc47a2dc7e50e0decd391794a0cae3

Observation 34eb121b-c4af-4f9a-8586-0151176f64a2 · outbound

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T14:17:57.530498Z

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.

source=pdf_text observed=2026-08-10T14:17:56.933517Z digest=sha256:52c738ef9df8c0e13ea2208bdf26191d3d3bc9f26131787848781999a4354217

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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no resolver link, observed 2026-08-10T14:17:56.937617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.937617Z digest=sha256:39d7341ed8a4171c31d1b9faa9db67ea3c48892f31d4703b0ceb512e7d308e96

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.942168Z digest=sha256:f1e17ac49c1e10372b4e231fbf499bea10346d25b04d065023b3b24e1382d00e

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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unresolved
no resolver link, observed 2026-08-10T14:17:56.947358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.947358Z digest=sha256:bfc721b84e851dae8971f1cc37c1e3c8df2d0315154951d85c07a8c50224341c

Observation 27ee8743-f06e-4732-876a-4a74a0db0bf2 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-10T14:17:56.952268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.952268Z digest=sha256:88f2554124d867f80de1ef35d58f43e5656b32c0b37040acb13801c24af6656b

Observation 3fc12cb9-cf87-46f6-8e7b-6e46b422429a · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:17:58.308047Z

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.

source=pdf_text observed=2026-08-10T14:17:56.955809Z digest=sha256:931fbcd6419fb7ba3d7f0d1ceeafeaababb72af9c5c41484f2c64b35e8760ed2

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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no resolver link, observed 2026-08-10T14:17:56.960378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.960378Z digest=sha256:f5d68b95ad9efdc51858d4005bbf82b7d673102482eaa02462cb1a870cf65d08

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

This paper cites Intersectionality,.

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

Reference 80

Resolution
verified exact
doi, observed 2026-08-10T14:17:57.081089Z

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.

source=pdf_text observed=2026-08-10T14:17:56.964420Z digest=sha256:395679a0abe470e695e17dc8711f7ab140e1bbcc149cdeedb51c3991f8cc4fb9

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

This paper cites an unresolved cited work.

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

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:17:58.297672Z

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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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
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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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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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 04c89a0b-7777-4bab-8d43-e4099a7fbb5d · outbound

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
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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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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
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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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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
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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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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
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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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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

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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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
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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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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

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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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
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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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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

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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Pith citing papers

No inbound Pith citation observations are available.