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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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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=sha256:62d55961225cc5d8d9bd4803daee8e428fc3c2efbb0a1f74848586aefa0ca7cc

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=sha256:4b0b4be6f0ee342f53daf8217bae95cffe36d4e4e5a478e4d7634e81f9bbe0ed

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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=sha256:853670cb95aecc670fe4863eeecd2641fdf85e6dded448951e04629dfa53635b

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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raw_fallback, observed 2026-08-10T14:17:57.892030Z

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=sha256:11354a3ebb0ff64ac7c721253a60a83d3d4dff86463df7da0a3de37ce8932443

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=sha256:5ecc0f4aae2cd547d54670708c6438ff822ad3b40818bde77ac04f5c7d88b55b

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:fd5674c552ca1541834e2b9333a89a904c7b89bdc637a499e5b4ac7dd23bc963

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=sha256:55ac67afeffb4f23bcb97c93916069a2755a14943d910dc57dc3eccf362bfd0a

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=sha256:5b30beed02689ff39aa9aca77e7f1817959f7ba8d543fd5ece774e8ea0e5b958

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=sha256:8400c7c61b8dcef7bd8a06cef09da323ffb6f58934266bb8356faa1ec177d9ce

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

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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:b8d94a5c2a5451f60818ce7dcc5a76a426c2c6267a7f93e3cbf8cca4e3376b1b

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

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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=sha256:13e63859a8126dd3f02b15a922afc4820d85dcd4b197eee0bdee7e7f63af86ed

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=sha256:9948f2cfa757bdfd1bc66cd70fc40f7ea93118014b817de6c3c8cbeaec6ad6aa

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:c66ec827e6026ae79f4c3cf34e098677783331a069bd2476b4ac46e45b529e8a

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

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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=sha256:2544d6f76286065121a5928bc21dec8b437415e814aec53c2a811bd7292a8dd3

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=sha256:82eab368e87b91cf2a5a7e48ab2b80d8d5ce05afc46456fbbcc6bf8ee4edab9f

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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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=sha256:8a9d1dc7f6392e5b764e3ea930487e4d84418e21ed9b9c78fb9f1f4edce1d649

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:df1446688aef5476435016518830512e39b2e349609130fe5a0549654dc75838

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=sha256:6b6295530e7c8bf4054c82229c9e896dcb508276ad5781b11eb61bb81afc75e7

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=sha256:2ade55bf6390aba706786617c57947cd011bd6c017b189c8b22cac0bd86728a0

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:b982f5ab0f313abfbd67fff65a9f4d9f12c8b397f632a48686f2d370fdee13a5

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

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verified fuzzy
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=sha256:2c4240a0e82394e9383af944be73c44ecd0e229f990a5c2c4dc599d23c593e66

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:fe28d800342efc294c4425cdebb9c6dc1bd5a7568a12eb1a13bca51bc137dca2

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=sha256:3cbc12179f1a4bb9d5536c20ecab49b0c4c18e2819337fc059734f9fa072f8d4

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:a52f6f1697d67dcabe4afcc8eee03341123870059571a963a0295ccd7062818f

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:baefe7e6bce292986747b1eeaf4f4e1f6db5cc3b22f039ccaaf7eb3c02a29744

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

Resolution
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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=sha256:2d5dd77ec88ac3cb805174ca139023f66ae76ee668980788f60dc09e00876e18

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=sha256:365c4a4beda19151efa4f598a32e91381f411b9c161ed1cdea200e882e64ac51

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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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:d55c7939810fdbb646f496af319242e1bf4bd96c6554cbc35af7dac49f655212

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:ab546a9d8d568c79857fd60a2883d78bb7d3d116c80c6f6343466ae6db95d904

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:b0cbc79d1002faa94ab59044eebbb3e49a1fbd1aedfb5677d9789bb8f8d485ff

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

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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:f66fd1f2440c88f2185afcef720cfe7f19e990aed912da039b6e484dfac5acab

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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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=sha256:80beb714f8dd95801717ad92b21aec22d9e5c78a5b000c71e4bfe22b1858e05d

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=sha256:24b2c51e6e68133c0a1530a054caacc2aeb50750e94b0b045b4344f29b69e1c6

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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unresolved
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:a80856f1c5d0490f805649df0109765a14273155ca8f0b05a303ec5813650201

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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unresolved
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=sha256:20da391a06c6bacdb19c195bd56c67d7c63a926196bdb0227582d785ba64e060

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

Resolution
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:ab5d3d58f33e133a6cc62bb536bc4e8a8be3f4eeaf91952be3a2b1d87a960909

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=sha256:581063ad9a9d5d252695c1af66ef1525709cee7df82c2504ae43676dbd585fee

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=sha256:54e87c0e9c0259030d71ca756ac21debd02a2b8471e7a7cec82e538ff158501e

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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unresolved
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=sha256:4682d2f98e123a94f61fd5dc9ba62cac291347826a3c6a633f3afc4a3838982c

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:c8ba9feaa87bba7b49c34fa963e8b93007ebf5d81d38d9d3c39311232266e362

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
raw_fallback, observed 2026-08-10T14:17:58.287517Z

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=2026-08-10T14:17:56.971671Z digest=sha256:48ea7e3f74b2d1440d94de1f1347c17c9e6dd153cad13b9b7ee4956ebfc5987a

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.

source=pdf_text observed=2026-08-10T14:17:56.975390Z digest=sha256:e672f78cda8badd294de0cf1e5de3b39a2c901e37dfdccd76ed9e6eed62c02b0

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
doi, observed 2026-08-10T14:17:57.070544Z

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
raw_fallback, observed 2026-08-10T14:17:58.276741Z

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=2026-08-10T14:17:56.983338Z digest=sha256:34dc0785de46f3b5216476436f907000d367011d0d61b525bc25c9df1caddfe4

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

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=2026-08-10T14:17:56.987004Z digest=sha256:4b5c3fec52dd331c4465b9c26e6a313165b2804f89fb76ae813e47d2147cf52b

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

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=2026-08-10T14:17:56.990677Z digest=sha256:55de99da4f9a50eb9a3d8d012455cf5584bfee3e08fe999b299d8bd78d046a1d

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.

source=pdf_text observed=2026-08-10T14:17:56.994784Z digest=sha256:191d3ae86fe1a1e65bd961742943ab54c1ea9e296c23f57fdef35e17a0a59862

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

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=2026-08-10T14:17:56.998382Z digest=sha256:358df0b077ba21f25788c59ed118a2a6bcd9eb0162060710da8898fa371e98c1

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.

source=pdf_text observed=2026-08-10T14:17:57.002090Z digest=sha256:32a1f91cf54df1eb294d4f5e669c098ac74f57a2f800a96bf369cd0348c7d535

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

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=2026-08-10T14:17:57.008711Z digest=sha256:730c22f5aaf33073818b9cf48891902884e5e524b76397a8e0ff885f27e7e66a

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.

source=pdf_text observed=2026-08-10T14:17:57.012572Z digest=sha256:823f90f80d41c766da3b095a2abc53d4248c5222e2d578ed63c6ff466c81f81f

Pith citing papers

No inbound Pith citation observations are available.