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Paper Citation Record · LEDGER

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?

As of 20 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2412.13846.

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

pith.paper-citation-record.v1
2412.13846 v2

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:48:08.595983Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:22:59.383032Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:22:59.553118Z

Reference resolution

74 of 74 outbound references displayed

  • verified exact2
  • verified fuzzy36
  • unresolved36
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c56f8267-2f07-4332-98ec-f6496d2a31ea · outbound

This paper cites Zhou and F.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Zhou and F

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 40d030ac-8086-46b6-948f-08dbf62a195e · outbound

This paper cites Software engineering for ai-based systems: A survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Software engineering for ai-based systems: A survey,

Reference 2

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source=pdf_text observed=2026-08-11T12:48:08.112937Z digest=sha256:64f0202fed3597b641dbccb2a61b212f28efc9a791ee02fcbb42f360ddb78152

Observation e0a09b70-a37d-4083-a324-bd1f28593260 · outbound

This paper cites Comparative analysis of image clas- sification algorithms based on traditional machine learning and deep learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Comparative analysis of image clas- sification algorithms based on traditional machine learning and deep learning,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.120308Z digest=sha256:40cf0986f46864ac10854483a58bd90b12dd781889b98c10a552511bee9b31f3

Observation bf39099f-c8e5-4a35-8806-111cf180927d · outbound

This paper cites A survey on theories and applications for self-driving cars based on deep learning methods,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A survey on theories and applications for self-driving cars based on deep learning methods,

Reference 4

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source=pdf_text observed=2026-08-11T12:48:08.127528Z digest=sha256:bbc2a32c7f9cd4542e5d2738fb0f611660c63c18f40a57b2f9d8ec08da01bdeb

Observation 3efcbf0b-c479-4841-9c0d-e5f2a9ba35ad · outbound

This paper cites Can an algorithm hire better than a human,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Can an algorithm hire better than a human,

Reference 5

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.135159Z digest=sha256:c5afa47987805cfd8aff4f8a78d35fd5cbd4a8653fd8afcae308034ad25845e8

Observation 2e9f9fd0-ffae-4e80-9b08-e4f73867f79f · outbound

This paper cites The algorithm that beats your bank manager,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The algorithm that beats your bank manager,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.146900Z digest=sha256:49b8e3ce165ed264cd521418827ef87a23e17ccc523fc2ebc1e7c632df4e315d

Observation 78554684-7a3b-402a-9744-110de9b047f4 · outbound

This paper cites A survey on bias and fairness in machine learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A survey on bias and fairness in machine learning,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.153661Z digest=sha256:84735fc114699df4702a6ff00a8d5ab50c555a03da6149fde9a771b337a23b4a

Observation 02e8d7e7-7b49-412e-bf4e-d08cc923d522 · outbound

This paper cites Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods,

Reference 8

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source=pdf_text observed=2026-08-11T12:48:08.159604Z digest=sha256:b526daea0a87de01998a193487a1c07b685b75b051db1246cec6ab5957a8e4fa

Observation bf1b1f27-98bc-4917-8022-5c3962f824ba · outbound

This paper cites A review on fairness in machine learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A review on fairness in machine learning,

Reference 9

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source=pdf_text observed=2026-08-11T12:48:08.165604Z digest=sha256:1b2a5ff3d14b588c5dc73f068a65e54bbc591455922a86e78fd5ebdb71334a6c

Observation ac13a5f5-6eac-4307-a810-e1acb215a83c · outbound

This paper cites Machine learning, ethics and law,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Machine learning, ethics and law,

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.172030Z digest=sha256:d0dc56f87a0c1f31b5a7c4a3d8f6898e301bbe573fca69ec77e3cf27ca8a78c2

Observation a18c6196-2771-4ca4-8e7b-a328ee21d54e · outbound

This paper cites Software fairness,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Software fairness,

Reference 11

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source=pdf_text observed=2026-08-11T12:48:08.181078Z digest=sha256:f070452aa58c25c48d1b4456ea35eb0a13c78349c7ff766073820aeda34b56d9

Observation 9bd85e84-83f9-4966-bbc8-7476c9fafe4b · outbound

This paper cites Facebook apologizes after a.i. puts ’primates’ label on video of black men,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Facebook apologizes after a.i. puts ’primates’ label on video of black men,

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.188311Z digest=sha256:6a6ced0760b9442994acabb23adfb71b69506fb464736919dd63c5c8ba4ee1e2

Observation 56571b98-557f-47fe-a524-420b73645c51 · outbound

This paper cites ’gay writing’ falls foul of amazon sales ranking system,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? ’gay writing’ falls foul of amazon sales ranking system,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.194837Z digest=sha256:ad59240f47608987c80d1edd66665a070a8bad9ea785134e679b08d6096a1416

Observation 3678ba09-784e-479a-b95a-4d7d2887ba04 · outbound

This paper cites Ai ethics issues in real world: Evidence from ai incident database,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ai ethics issues in real world: Evidence from ai incident database,

Reference 14

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source=pdf_text observed=2026-08-11T12:48:08.200522Z digest=sha256:103400588490ebb7a9ce2af29e0a4ab4eb4f6910ca6a61a0db2ba4706cf07085

Observation 0781d365-71f1-4f05-88d4-d472b13af668 · outbound

This paper cites Bias mitigation for machine learning classifiers: A comprehensive survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Bias mitigation for machine learning classifiers: A comprehensive survey,

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.205969Z digest=sha256:a963df778e39e50a144ca3ff2b000e8c185b77501d9b9cd6746ce7e54f462133

Observation cfaf46d3-0460-4f46-912e-584d8117cbbd · outbound

This paper cites Ai fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ai fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias,

Reference 16

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source=pdf_text observed=2026-08-11T12:48:08.211583Z digest=sha256:68dd6f45e511d0a46f3232f8c45c482feeccebe3b008deafc69dbf0ded2da145

Observation 2aab56df-2785-45f0-87ff-3cdc26712b9b · outbound

This paper cites Fairlearn,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairlearn,

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.216771Z digest=sha256:2b79de4286660ae5a85cc8959fa87431b69608f6797b8786eb3338fd4344af43

Observation 3b6bb37f-ef96-47d7-8b58-11aa8c20c405 · outbound

This paper cites Exploring how machine learning practitioners (try to) use fairness toolkits,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Exploring how machine learning practitioners (try to) use fairness toolkits,

Reference 18

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source=pdf_text observed=2026-08-11T12:48:08.222734Z digest=sha256:782982d2cba7d3db9a12b37d6dc8cdea069fa46ed270b30c8de3a99b3c28395c

Observation 66bb9ee1-f8c6-480a-be6c-bb3d857ef312 · outbound

This paper cites The landscape and gaps in open source fairness toolkits,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The landscape and gaps in open source fairness toolkits,

Reference 19

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source=pdf_text observed=2026-08-11T12:48:08.229395Z digest=sha256:b7448170bcc5e5c9b4999f4eec2af1fc570bd215b6dd846d6bd64c10f2cbc929

Observation ec02b553-455b-4ebf-9f45-e4529a39510a · outbound

This paper cites Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering

Reference 20

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Observation 12442b1f-de07-44e0-ad78-c90f760d6807 · outbound

This paper cites The extended unified theory of acceptance and use of technology (utaut2): A systematic literature review and theory evaluation,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The extended unified theory of acceptance and use of technology (utaut2): A systematic literature review and theory evaluation,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.244393Z digest=sha256:1cdcac01f11d389b99dc4d4a18568516847500e130088d8bab43545bf8348be3

Observation 63216e5a-dcaf-4f8b-9e0f-c8f24a0c0ac3 · outbound

This paper cites Where responsible ai meets reality: Practitioner perspectives on enablers for shifting organizational practices,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Where responsible ai meets reality: Practitioner perspectives on enablers for shifting organizational practices,

Reference 22

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source=pdf_text observed=2026-08-11T12:48:08.250291Z digest=sha256:a22471b1c22e88e464f14684e6b03e5642fa799443fdf9283639b8a6b420e4be

Observation fec466e2-9edd-4ae5-95c8-58b89fb4aa49 · outbound

This paper cites Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology,

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2968b761-580e-4042-997e-6d234492f43f · outbound

This paper cites A primer on partial least squares structural equation modeling (pls-sem),.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A primer on partial least squares structural equation modeling (pls-sem),

Reference 24

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source=pdf_text observed=2026-08-11T12:48:08.263498Z digest=sha256:132afa51a8b88e0db19eea3ae506566a7b94709bbf4e4e57a7f420efa44baae9

Observation 1fc1de89-4b76-4d61-9ca5-f49e3c734d22 · outbound

This paper cites Fairness per- ceptions of algorithmic decision-making: A systematic review of the empirical literature,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness per- ceptions of algorithmic decision-making: A systematic review of the empirical literature,

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.269342Z digest=sha256:13fc8b5603ddfb6ec350f92fcf5c3d105b517a9389c0b6b6f2e6707722296618

Observation 71083515-3f5f-4648-809a-74d0cc7c7732 · outbound

This paper cites Fairness definitions explained,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness definitions explained,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.277376Z digest=sha256:1fa47253ae9c6773ae54e36c834dcdcad0291c4be234c4a6bf011de76ed5266f

Observation f6f8e577-5371-4edc-8b00-b1aa4917dc33 · outbound

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

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fair enough: Searching for sufficient measures of fairness,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.283633Z digest=sha256:8537e37eb05b326a7bd24944da3fe613f2c4fb1f3058b8a252e4bf69bd10ac8c

Observation 14a6856c-3146-47ea-831a-43d21dd62f3d · outbound

This paper cites Data augmentation for discrimination prevention and bias disambiguation,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Data augmentation for discrimination prevention and bias disambiguation,

Reference 28

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raw_fallback, observed 2026-08-11T12:48:09.899936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.292106Z digest=sha256:705b942e1fccca9015b2122e402bb0799e76886532361e6ffc94cb94257a0177

Observation 625d2412-0426-4d4e-9adb-f10fecbf0d04 · outbound

This paper cites Optimized pre-processing for discrimination prevention,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Optimized pre-processing for discrimination prevention,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.298773Z digest=sha256:03bca3114a9c277f976aea4fa950dc8f27b7d93f6dde580ee6fa79a7c5e0aa70

Observation 54669ba4-e7f2-45d9-9eaa-a63e964d752d · outbound

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

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Bias in machine learning software: why? how? what to do?

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.305559Z digest=sha256:d9001bc95c2bdd45e6939748187d79f5c945ea0f3a58755110c44ab55c9311f0

Observation da1152ce-b099-4479-aeb0-743374531dde · outbound

This paper cites Mitigating unwanted biases with adversarial learning,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Mitigating unwanted biases with adversarial learning,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.311815Z digest=sha256:1f2a6b84941f24e9c53ccb5682323b232c77c172df96a9f73cd365c741d263fb

Observation 4c030acd-7668-4442-9a97-5612f85facd8 · outbound

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

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness-aware classifier with prejudice remover regularizer,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.320034Z digest=sha256:baa9108683aa2a6a121ca956de83299a1f7695c28522441ecfc835090403f416

Observation 47124cd4-08b3-4a87-9a7c-c1065123eb9b · outbound

This paper cites an unresolved cited work.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.326722Z digest=sha256:0b99c4fa84b9093912b17749cd49b6caaa7af02ec98128c77efee2faf3175fca

Observation 62e6168e-0490-44c4-8564-e97d095ecf3e · outbound

This paper cites Data preprocessing techniques for classi- fication without discrimination,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Data preprocessing techniques for classi- fication without discrimination,

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.339171Z digest=sha256:0bd5ffa397a5264888e6bd0d35ab4cb5ce2451a8811c9284f92b039188b44109

Observation acae2e3e-4c85-4351-9a84-da492202e3bd · outbound

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

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairway: a way to build fair ml software,

Reference 35

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raw_fallback, observed 2026-08-11T12:48:09.785772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.345687Z digest=sha256:e9fce7d046eec1b47381b5298b5ce0d568862c17680f5f8efc474670e290030c

Observation 22fdb8c7-3022-4784-8a52-25d7118d86bf · outbound

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

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness testing: testing software for discrimination,

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.351661Z digest=sha256:71ea40873e63c05d5389217c9aae8a67237addbeb9f4f575a47e71e05b22f8a2

Observation c5b218d6-6320-4fe6-897a-52159461f3f4 · outbound

This paper cites Automated directed fairness testing,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Automated directed fairness testing,

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.358917Z digest=sha256:a9ab6abc668d89353093ed83f678f9611fc5a62f07af8fe8b2082f5f6cf01eac

Observation 3f0b41c2-4189-4d81-98a0-e3e40d70f9c7 · outbound

This paper cites Fairness improvement with multiple protected attributes: How far are we?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness improvement with multiple protected attributes: How far are we?

Reference 38

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source=pdf_text observed=2026-08-11T12:48:08.365152Z digest=sha256:ff48c7f8a4fd9478b0b1a017f009ed919a3837888254336059c869458f7fc03b

Observation f9736b8b-ab90-4f22-b021-0cb4b8c227dc · outbound

This paper cites Refair: Toward a context-aware recommender for fairness requirements engineering,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Refair: Toward a context-aware recommender for fairness requirements engineering,

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.729480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.370805Z digest=sha256:c1bd562ad05f7496b0ac7ec66eb27b678eb06aeb4871982c58f3b575317f3ecb

Observation b7eeaa27-a6a2-4034-b556-13a84769cc4e · outbound

This paper cites Fairness-aware machine learning engineering: how far are we?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness-aware machine learning engineering: how far are we?

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.710771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.377739Z digest=sha256:2eab0b26c0a042d09956fc2fd85bf37de9da8a3f2d78c4d8b8e483d62a7ad295

Observation 72baba00-cb3c-4e69-8f5e-ed65e813fcfe · outbound

This paper cites Lift: A scalable framework for measuring fairness in ml applications,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Lift: A scalable framework for measuring fairness in ml applications,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.691610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.384010Z digest=sha256:1093d58be2d4bc15e8a6649d5b2701fb2af40b1d6aeb23209617bc55847515ea

Observation 231ee24d-2d3f-4298-b806-aa95fdf3a2a6 · outbound

This paper cites “ignorance and prejudice.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? “ignorance and prejudice

Reference 42

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no resolver link, observed 2026-08-11T12:48:08.389113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.389113Z digest=sha256:8d6ccb0ebc47ec6c4192fd03a40e4224ae4432418920248da0897c871d19bf42

Observation 4ca57c2c-938d-424a-8788-723dd41c266f · outbound

This paper cites Understanding Fairness in Software Engineering: Insights from Stack Exchange.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Understanding Fairness in Software Engineering: Insights from Stack Exchange

Reference 43

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local_arxiv, observed 2026-08-11T12:48:08.999252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.394836Z digest=sha256:0e26b447dc2b9650f099bcacbfdb965a4f44e6538b459cba8535390685457cbc

Observation d37c44ef-ba45-4ac6-a7bb-ad9d4e59bc49 · outbound

This paper cites A Catalog of Fairness-Aware Practices in Machine Learning Engineering.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Reference 44

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source=pdf_text observed=2026-08-11T12:48:08.403077Z digest=sha256:15db7cd3664efdefb1723dce215c2cefeef25ef259f2dd6c487297e3ce3be45d

Observation f9f0b9d1-c119-4136-9638-0ddc78b5a9b1 · outbound

This paper cites Fairness-aware practices from developers’ perspective: A survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Fairness-aware practices from developers’ perspective: A survey,

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.658862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.409374Z digest=sha256:45f4d8e04bf4393e40286176415e9ceefefc2adc8705036eb97da81b77ea6c7a

Observation 1099f5a4-f3ba-4a7e-aae8-cc9f8d96c937 · outbound

This paper cites “fairness toolkits, a checkbox culture?.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? “fairness toolkits, a checkbox culture?

Reference 46

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no resolver link, observed 2026-08-11T12:48:08.415433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.415433Z digest=sha256:42090baf9123ca484844d8dc4ec54877a6b19fe2ec8d72a82e020b51752801a4

Observation afa9ee37-ea12-4104-95d4-90b078ef70f2 · outbound

This paper cites The what-if tool: Interactive probing of machine learning models,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The what-if tool: Interactive probing of machine learning models,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.639541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.421301Z digest=sha256:1cc361124fada739a2715f109dd96438673562e45582b965008efdbcbf6359d3

Observation 2ee15062-c022-426e-be52-dc35f6df27b7 · outbound

This paper cites scikit-fairness,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? scikit-fairness,

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.619759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.427871Z digest=sha256:8a0bb7bbbbe5dfd4873de31d181a14420dae1e3abcb5ccea1e00a31e60ad57e4

Observation 563d2e11-6c38-46d8-bd05-0eec9cb72306 · outbound

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

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Improving fairness in machine learning systems: What do industry practitioners need?

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.599193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.435238Z digest=sha256:972fb83172fb430d8175c343b1f37dbc794ec858d4ed91fd2fbdaa273d62f16b

Observation 9c7e6c53-217f-45c3-9ab7-9ad3e34d4185 · outbound

This paper cites Why don’t men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Why don’t men ever stop to ask for directions? gender, social influence, and their role in technology acceptance and usage behavior,

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.579783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.441404Z digest=sha256:57d66c8d652b603a1d8b04c9fc5365803e9143d4d416024fa028e3ea1c6d3a02

Observation 968fac45-1fad-4c09-9c69-b57ae637a7de · outbound

This paper cites User acceptance of information technology: Toward a unified view,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? User acceptance of information technology: Toward a unified view,

Reference 51

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no resolver link, observed 2026-08-11T12:48:08.448224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.448224Z digest=sha256:16451017038654c6a2ab84c7a8fb1cc944e858c7ca9a6edf079302134f426fc6

Observation 531cb591-6e6a-45ed-9cce-0fbe3f88fa8b · outbound

This paper cites The unified theory of acceptance and use of technology: A new approach in technology acceptance,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The unified theory of acceptance and use of technology: A new approach in technology acceptance,

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.548441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.455839Z digest=sha256:a0872ed5f2191e37285c6220a5083962c2382c7f70e6f45ec7ab7d18ebce934b

Observation 6e527441-70e5-493e-8308-372727504b73 · outbound

This paper cites Technology acceptance model,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Technology acceptance model,

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.461825Z digest=sha256:e7f48279d63fb30e1be49cdde28472e8022938f38298cfe6dcbeda266f317c8d

Observation a7c41abf-b44a-4373-9158-01a5e548b871 · outbound

This paper cites Online appendix,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Online appendix,

Reference 54

Resolution
verified exact
raw_fallback, observed 2026-08-11T12:48:08.867950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.467303Z digest=sha256:80a3e61735494fdea012360c2a5ac0b87f6eba43edce13fd5af31c4f55f455d4

Observation 2a7230f4-b051-4d83-a806-3d4c668483eb · outbound

This paper cites Ethical perceptions of ai in hiring and organizational trust: The role of performance expectancy and social influence,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ethical perceptions of ai in hiring and organizational trust: The role of performance expectancy and social influence,

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.516807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.473511Z digest=sha256:48814b11c32d92bc13a1128f03af605a5915f1ae3af175b696243dbca31fd36f

Observation 2110bff2-f1fd-4e68-9945-1c497c5e6a60 · outbound

This paper cites Oneto and S.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Oneto and S

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.498180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.479269Z digest=sha256:8e9c3d22e91f8468612b47a1f68d885b7b9b6318ee543e5de958d6adf6fb993d

Observation a7fabc07-7a66-4b79-9c76-fece0cdfd644 · outbound

This paper cites Perceived usefulness, perceived ease of use, and user acceptance of information technology,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Perceived usefulness, perceived ease of use, and user acceptance of information technology,

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.480130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.486496Z digest=sha256:c9ef265555f1f18c498fc91a2e68c5a83a0c1ae78b4cf44733a919a85a158795

Observation f4410771-e0d6-437b-ac34-17eda219e787 · outbound

This paper cites User acceptance of hedonic information systems,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? User acceptance of hedonic information systems,

Reference 58

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.461422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.493360Z digest=sha256:9309ea89742f116c7d46cdde5a4c71e64e6f7aafe1f869394b905b4c6da75b18

Observation b482a06c-a8ad-49c7-9ead-f9a7df0f655b · outbound

This paper cites Statistical power analyses using g* power 3.1: Tests for correlation and regression analyses,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Statistical power analyses using g* power 3.1: Tests for correlation and regression analyses,

Reference 59

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no resolver link, observed 2026-08-11T12:48:08.499346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.499346Z digest=sha256:38fd1e263423376aa85cf48305acc299126038ffd4c595a1d74bbdbd18712ac9

Observation da95c1e3-9870-4f54-a556-53f3cbd5bdf0 · outbound

This paper cites Personal opinion surveys,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Personal opinion surveys,

Reference 60

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no resolver link, observed 2026-08-11T12:48:08.506895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.506895Z digest=sha256:47560c0bbc0a2ec63d9401e78068c1496037a770ea087233fff9019377e68062

Observation 69e0a69d-dcd3-4287-aabd-5def808a6f65 · outbound

This paper cites Conducting research on the internet:: Online survey design, development and implementation guidelines,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Conducting research on the internet:: Online survey design, development and implementation guidelines,

Reference 61

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no resolver link, observed 2026-08-11T12:48:08.513306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.513306Z digest=sha256:a177e11504de1faa5c10704ee7dfb1eca84a06a99a08673aa7d8257d90bc76ef

Observation 91adcf3e-daa8-47bb-af11-9a7c16303c72 · outbound

This paper cites Pls-sem for software engineering research: An introduction and survey,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Pls-sem for software engineering research: An introduction and survey,

Reference 62

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no resolver link, observed 2026-08-11T12:48:08.518743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.518743Z digest=sha256:8b16fd45b1ba2d8c10a07afe2c887b70041d41860c0c267d196b361a475fd7c5

Observation 469f9850-efb4-4964-9a66-397aa6d4a7e6 · outbound

This paper cites Do you really code? designing and evaluating screening questions for online surveys with programmers,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Do you really code? designing and evaluating screening questions for online surveys with programmers,

Reference 63

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no resolver link, observed 2026-08-11T12:48:08.524501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.524501Z digest=sha256:a0eca223930509570915ded6a28a383405cddd4b27477e089a1ede4827affbb1

Observation 917947b8-2dad-48c1-8dc6-622abda38e00 · outbound

This paper cites Empirical standards for software engineering research,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Empirical standards for software engineering research,

Reference 64

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no resolver link, observed 2026-08-11T12:48:08.530601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.530601Z digest=sha256:98088a62f8f4d9a0afa104da6dc4b6aef742e35779824dbb0ad2da5f5557cd8b

Observation 0ed7c9d2-f86c-427d-8887-815d9abfb9de · outbound

This paper cites Ethical issues in software engineering research: a survey of current practice,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Ethical issues in software engineering research: a survey of current practice,

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.358302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.540350Z digest=sha256:a8d8850ad1ed0d3b83bd3fd52165983cbe69bb074cbe306c6169fe9c76887ab0

Observation c218f9f3-e2d8-45ee-ae80-3b5605cad791 · outbound

This paper cites Smartpls 4,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Smartpls 4,

Reference 66

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no resolver link, observed 2026-08-11T12:48:08.547004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.547004Z digest=sha256:be3a84ba3dc1362e0085f24e31620842991286b1766c025a13a814f5eb38f878

Observation b0cd3bc9-2b24-4f9e-a5c2-cf70120f8f84 · outbound

This paper cites The partial least squares approach to structural equation modeling,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The partial least squares approach to structural equation modeling,

Reference 67

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unresolved
no resolver link, observed 2026-08-11T12:48:08.565126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.565126Z digest=sha256:eb4cef99cf95c4bbd928d0a9526d5fb3c680d79f88839c5cc2f4ff18e3d8a819

Observation 69f68e74-ca48-4521-8ede-de68dd539e46 · outbound

This paper cites A new criterion for assessing discriminant validity in variance-based structural equation modeling,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? A new criterion for assessing discriminant validity in variance-based structural equation modeling,

Reference 68

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no resolver link, observed 2026-08-11T12:48:08.559552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.559552Z digest=sha256:f2ba993c40904f3c63d320feea71d7d161ab16308f85f4720bb2b81e1b0d9a5a

Observation aaa9ea02-5b6f-4f5d-9200-25292842ac25 · outbound

This paper cites The elephant in the room: Predictive performance of pls models,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? The elephant in the room: Predictive performance of pls models,

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.256744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.576776Z digest=sha256:71cac4d7c9cdbe8119323404a7018b72fa61c59b8fa39f421aade19a3bf52b62

Observation 9e96f11f-03b7-4074-b499-e2a7e875559f · outbound

This paper cites On the value rel- evance of customer satisfaction. multiple drivers and multiple markets,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? On the value rel- evance of customer satisfaction. multiple drivers and multiple markets,

Reference 70

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no resolver link, observed 2026-08-11T12:48:08.571047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.571047Z digest=sha256:1904a6c2582122a85c589065306a529af37939eac53c8d38bfa71b935b0e5378

Observation 9b9d8f33-a39b-4eb9-af8f-40a84bf8715b · outbound

This paper cites Personal computing: Toward a conceptual model of utilization,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Personal computing: Toward a conceptual model of utilization,

Reference 71

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raw_fallback, observed 2026-08-11T12:48:09.215092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.590077Z digest=sha256:aecdd697f1cc3761c2609910338cce21269e21214eac41f88f520f50292c2979

Observation 014741e3-c362-4f21-8d5e-910a78674272 · outbound

This paper cites Predictive model assessment in pls- sem: guidelines for using plspredict,.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Predictive model assessment in pls- sem: guidelines for using plspredict,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:48:09.235007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T12:48:08.583439Z digest=sha256:7bad592ece1e9bd76511cadf791229d7c2e2a4eac5cfd810348df0c66f3e65c3

Observation c3ebb48c-e653-4de0-90c7-159c432e3d8f · outbound

This paper cites Wohlin, P.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Wohlin, P

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T12:48:08.595983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.595983Z digest=sha256:94c2586e1d2e98537c21a3c9ecd5dc6371cb7827642e4556313d52b45fa99982

Observation 9c22872d-76d3-4d16-9dcc-e1adf9f8a706 · outbound

This paper cites Available: https://www.smartpls.com/.

From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? Available: https://www.smartpls.com/

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T12:48:08.553894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:48:08.553894Z digest=sha256:9ebe2a2f1f4b631f7219ac7768eeba856f6179dc0bbe17833e90d106870bb60c

Pith citing papers

Observation b5448070-2a4e-42ae-9cc5-19d3fb32bf90 · inbound

What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research cites this paper.

What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?

Reference 186

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:22:59.563172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T14:22:59.383032Z digest=sha256:53f80b1fc06960ccaeca43802d6fb139b294777bb50f25728030278cddda889e