Paper Citation Record · LEDGER

Exploring Fairness Interventions in Open Source Projects

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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.

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.

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 2026-08-14T06:32:32.682623+00:00.

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.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.