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Paper Citation Record · LEDGER

Exploring Fairness Interventions in Open Source Projects

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.07026.

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

pith.paper-citation-record.v1
2507.07026 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:52:37.830722Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c27d70e-e84d-4c00-9fc0-bdd3123e5d61 · outbound

This paper cites Assurance of machine learning/tinyml in safety-critical do- mains,.

Exploring Fairness Interventions in Open Source Projects Assurance of machine learning/tinyml in safety-critical do- mains,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.195914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f82b997a-bdf0-43b8-842c-3a442cf660f4 · outbound

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

Exploring Fairness Interventions in Open Source Projects A survey on bias and fairness in machine learning,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.181631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 956acd55-0969-4b9a-87ce-4231e258e41a · outbound

This paper cites Lipsitz, The possessive investment in whiteness: How white people profit from identity politics.

Exploring Fairness Interventions in Open Source Projects Lipsitz, The possessive investment in whiteness: How white people profit from identity politics

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.168219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c60f68e5-29e6-429d-b5f2-64484cf757fc · outbound

This paper cites Gender bias in translation using google translate: Problems and solution,.

Exploring Fairness Interventions in Open Source Projects Gender bias in translation using google translate: Problems and solution,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.151629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:35.600435Z digest=sha256:9c501539f6a3ad7b2443633bc1a3bd6662b08ebddb9be66ff7d9f1ea50750ced

Observation b90cf5b2-54e1-4a88-846c-d26aeced4965 · outbound

This paper cites Olf-ml: An offensive language framework for detection, categorization, and offense target identification using text processing and machine learning algorithms,.

Exploring Fairness Interventions in Open Source Projects Olf-ml: An offensive language framework for detection, categorization, and offense target identification using text processing and machine learning algorithms,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.135927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:35.672170Z digest=sha256:ce38b1e375ef31553ad9e16345043e61373945ae824420ae248995d370172039

Observation eb241f6e-dd3e-478d-b2bf-5597b8d75072 · outbound

This paper cites Software fairness,.

Exploring Fairness Interventions in Open Source Projects Software fairness,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.118513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:35.795009Z digest=sha256:b6be9dbb97490048fcbbbc8bd210169b6113b53fbe38d01476d9e72b29733341

Observation 215bf286-9a3e-48fc-80cd-934e3cf7776b · outbound

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

Exploring Fairness Interventions in Open Source Projects The landscape and gaps in open source fairness toolkits,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.102014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:35.885615Z digest=sha256:b326c0d692d0c1d065366e76aab2860c18c307998cdbcd4a961ef4e4e6025c06

Observation c6afebb0-dc3d-408e-af91-7708d97e25dd · outbound

This paper cites Towards ethical data-driven software: filling the gaps in ethics research & practice,.

Exploring Fairness Interventions in Open Source Projects Towards ethical data-driven software: filling the gaps in ethics research & practice,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.085067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:35.951049Z digest=sha256:9172dbcb051fb45a662180d85adf2cb121140d1fd9e439bc0a5c3feb0777fa26

Observation 62f71d60-ef27-448c-a943-706c278947de · outbound

This paper cites A taxonomy and catalog of runtime software-fault monitoring tools,.

Exploring Fairness Interventions in Open Source Projects A taxonomy and catalog of runtime software-fault monitoring tools,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.067970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.014085Z digest=sha256:4d3a782a102c3d0ebedc15c115570af674e55253056cbb362cae31a42ca41252

Observation 4dfb4138-aaed-41c5-9d15-9a1fd2a3aa06 · outbound

This paper cites Taxonomy of automated software testing tools,.

Exploring Fairness Interventions in Open Source Projects Taxonomy of automated software testing tools,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.050442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.081442Z digest=sha256:95643c7574761730ef4cdcd95d905649115ee483ac3bd5cd116a9cd3f321d82c

Observation cecfca06-b39d-4c67-8367-aba2898dc5e4 · outbound

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

Exploring Fairness Interventions in Open Source Projects Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.034442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.169562Z digest=sha256:3442c58db831aa1c90abcd47be1664a4364ce31a5940e1ee566d4ab6403be6cb

Observation 3a68fbc3-14a2-49dc-b2be-65945c4b1bc8 · outbound

This paper cites ” ignorance and prejudice.

Exploring Fairness Interventions in Open Source Projects ” ignorance and prejudice

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.019776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.262903Z digest=sha256:2a72166dbf9e55cd7328f01723dba475d82119358e6c7d643087fd93161f5c5f

Observation f7461a03-9976-449d-a5c8-0a1061c6a40f · outbound

This paper cites Survey on Causal-based Machine Learning Fairness Notions.

Exploring Fairness Interventions in Open Source Projects Survey on Causal-based Machine Learning Fairness Notions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:36.334992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:36.334992Z digest=sha256:105899c854e055f0097eeac9da965cad6011c84c59eac940d11519dad0f5ee18

Observation 76cd38b9-6888-4b31-9c4d-099b4666fffa · outbound

This paper cites Fairness in Machine Learning: A Survey.

Exploring Fairness Interventions in Open Source Projects Fairness in Machine Learning: A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:36.409003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:36.409003Z digest=sha256:90080a5bbe5ba1a0c8a913b3ab3aa2142b3946d2b2007bd5299d94a7286f34e9

Observation f97e1214-4426-46ab-a0f3-6d4d8d86fbf3 · outbound

This paper cites A survey on datasets for fairness-aware machine learning,.

Exploring Fairness Interventions in Open Source Projects A survey on datasets for fairness-aware machine learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:39.003291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.471530Z digest=sha256:5e3f6d9a16b739b1a562b2de2a8d456bd23f7307646d4dc9bc9c67e28d5e2c9a

Observation ad635cba-56c6-4fa2-9417-593d222dfc1c · outbound

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

Exploring Fairness Interventions in Open Source Projects A review on fairness in machine learning,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:36.561303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:36.561303Z digest=sha256:7dc80c8a15164b1b0dbc1e0a9e7da3cf95c3ef09d5ab62f83ba0077c8b129e6e

Observation d409b279-79a9-4c6d-801f-98e20413becf · outbound

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

Exploring Fairness Interventions in Open Source Projects Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.978068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.626609Z digest=sha256:e5af9a56054b8a5fee9192f35ddf33b069602ebc9e66e5afb18473049e4d8998

Observation b9f601c0-d349-43e4-94c0-9e4d3a87bf71 · outbound

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

Exploring Fairness Interventions in Open Source Projects Fairea: A model behaviour mutation approach to benchmarking bias mitigation methods,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.961723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.721291Z digest=sha256:eb228efbfe2938ef4f83f9de7c90a8acf1fd98e9ce0f81701f0146544f66deaa

Observation 3f834ac6-c586-47ca-9e30-b22e6de2f637 · outbound

This paper cites In-processing modeling tech- niques for machine learning fairness: A survey,.

Exploring Fairness Interventions in Open Source Projects In-processing modeling tech- niques for machine learning fairness: A survey,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.947492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.788952Z digest=sha256:01e8675cec8cd53f52db99d10c0a0fb209acfc33be1dfb79904a872eaefe5992

Observation 6c685d59-0ab4-42d2-8874-98271aec22a4 · outbound

This paper cites Bias mitigation post-processing for individual and group fair- ness,.

Exploring Fairness Interventions in Open Source Projects Bias mitigation post-processing for individual and group fair- ness,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.932929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.855216Z digest=sha256:70239a243157f5faafa85cdde4b17093bcf7088c96f61ba47657c8cd5aec235e

Observation d1c06722-e17a-4399-b27c-0d9c688cb3e7 · outbound

This paper cites Mitigating bias in face recognition us- ing skewness-aware reinforcement learning,.

Exploring Fairness Interventions in Open Source Projects Mitigating bias in face recognition us- ing skewness-aware reinforcement learning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.918044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:36.915376Z digest=sha256:5f67d9302ed9e055a657bdf11fb176f501bccfd8391d7d76bb394a1d0029c41e

Observation 580c5882-3e16-42a5-aa76-28640b81d50c · outbound

This paper cites Assessing and mitigat- ing bias in medical artificial intelligence: the effects of race and ethnicity on a deep learning model for ecg analysis,.

Exploring Fairness Interventions in Open Source Projects Assessing and mitigat- ing bias in medical artificial intelligence: the effects of race and ethnicity on a deep learning model for ecg analysis,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.903954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.001752Z digest=sha256:20d8fce16fe05433dd644e937808ef9a9750c7d4bbd97cff0a7d84233f8659c3

Observation 61d27898-cf6c-4a21-9f4d-415bb032c81a · outbound

This paper cites Uncovering and mitigating algorithmic bias through learned latent structure,.

Exploring Fairness Interventions in Open Source Projects Uncovering and mitigating algorithmic bias through learned latent structure,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.889074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.081371Z digest=sha256:6b5828f17cf9953620f28bd3c9f2b9a126bc6e077d9e476ebdfdc0e64ffe3a6b

Observation 6ccb9b53-bb3a-4cab-bbd4-a7e5327aea18 · outbound

This paper cites A taxonomy of machine learning fairness tool specifications, features and workflows,.

Exploring Fairness Interventions in Open Source Projects A taxonomy of machine learning fairness tool specifications, features and workflows,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.873664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.153323Z digest=sha256:984fc64e3d6e8326bbd79aebfcdff0e37d433c1b650dbf67a92ae01876f5dd51

Observation 462d7e02-7f31-4d66-b72d-8988c5c3111e · outbound

This paper cites Is this github project maintained? measuring the level of maintenance activity of open-source projects,.

Exploring Fairness Interventions in Open Source Projects Is this github project maintained? measuring the level of maintenance activity of open-source projects,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.857778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 22d81b27-4139-4800-85df-eafcc4a4fd48 · outbound

This paper cites Identifying and characterizing unmain- tained projects in github,.

Exploring Fairness Interventions in Open Source Projects Identifying and characterizing unmain- tained projects in github,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.841461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.280172Z digest=sha256:f6d32781daa0707afc661851ef941fda58b338a3c09dcef565d4bf9468130da7

Observation 75054615-b84e-4896-88b1-5071be607fca · outbound

This paper cites When a toolkit is not enough: A review on what is needed to promote the use and uptake of immunization-related resources,.

Exploring Fairness Interventions in Open Source Projects When a toolkit is not enough: A review on what is needed to promote the use and uptake of immunization-related resources,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.826563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.389902Z digest=sha256:bb28a64a7656937ee2ce4585771c330d3052fba16dfb220d0fdd287bdd2d5f63

Observation 9ce9063f-eb6f-48b4-abb2-63e3b0f29a38 · outbound

This paper cites {TensorFlow}: a system for {Large-Scale} machine learning,.

Exploring Fairness Interventions in Open Source Projects {TensorFlow}: a system for {Large-Scale} machine learning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.811089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.471537Z digest=sha256:112eca1fee63150e2f8ce78cf927ad3c7c6405e136b315d45823b07f2c91bb3d

Observation 46d6b79b-5eca-48e8-a4eb-ba74985a7856 · outbound

This paper cites Composing con- tracts: an adventure in financial engineering,.

Exploring Fairness Interventions in Open Source Projects Composing con- tracts: an adventure in financial engineering,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.794214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.536104Z digest=sha256:b85e99f4d06d00982c017c1c938a5b1274c99a1513dcea690280866dc887afcb

Observation 0762b15a-0902-4f40-ab73-369d8d49b2b5 · outbound

This paper cites Cwalina, J.

Exploring Fairness Interventions in Open Source Projects Cwalina, J

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.778524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.599712Z digest=sha256:70e0b7c11c9d07117ec3c2293b0383394ed7541ccedde55cfaa51d8080942012

Observation 237bb0b5-c9f5-49ec-8afc-2e9e930f2129 · outbound

This paper cites Fairkit-learn: a fairness evaluation and comparison toolkit,.

Exploring Fairness Interventions in Open Source Projects Fairkit-learn: a fairness evaluation and comparison toolkit,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.563957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.665288Z digest=sha256:73d550fe9b271af1c8a9673e7ce0f8f7b88a981fdddac5cd59a1b12a86dfb8c7

Observation 2a26619a-c432-4b1c-b145-336e77c3f865 · outbound

This paper cites Fairness in machine learning: A survey,.

Exploring Fairness Interventions in Open Source Projects Fairness in machine learning: A survey,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.268627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.724277Z digest=sha256:0a31eff33ca16eac40f15ddc682373dcd1ee7141aeb81048934010c34950e5d8

Observation 15f907a8-aff4-4db8-8f31-0d09ecead451 · outbound

This paper cites Py-holmes: Causal testing for deep neural networks in python,.

Exploring Fairness Interventions in Open Source Projects Py-holmes: Causal testing for deep neural networks in python,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:52:38.019879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T18:52:37.830722Z digest=sha256:1fc1d6edf4a6d81adf0085b48e0e96cbb613ba18f096a3ceb4a4d2d1f4d17642

Pith citing papers

No inbound Pith citation observations are available.