Paper Citation Record · LEDGER

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2501.04142.

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

pith.paper-citation-record.v1
2501.04142 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:44:10.246509Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:36:44.434929Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:36:44.625989Z

Reference resolution

38 of 38 outbound references displayed

verified exact2
verified fuzzy24
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 169ea3a6-2b1b-44ea-90e0-310c229ed56b · outbound

This paper cites Fairness in Machine Learning: A Survey.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Fairness in Machine Learning: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:10.093151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e2f6e17-4f5c-4b01-9657-2d46d63f8e00 · outbound

This paper cites Holstein, J.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Holstein, J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.777800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d36b7077-124e-428a-a528-0b5a5cce7268 · outbound

This paper cites Mehrabi, F.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Mehrabi, F

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.764580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1e55a9dc-6e72-43d4-bdb2-57f790f06e30 · outbound

This paper cites Barocas, M.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Barocas, M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.752247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8d1a07ba-325a-4b55-ac6a-7020d04b145a · outbound

This paper cites Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:10.111271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8239daa-e249-45e7-8216-eb9b9087b392 · outbound

This paper cites artificial intelligence as a service.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems artificial intelligence as a service

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.739948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be0b0bfd-a237-4b0b-bb6f-8988a47b68bd · outbound

This paper cites Torpmann-Hagen, M.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Torpmann-Hagen, M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.728833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9ab8bbc-3747-4dbd-89e2-6a9e2f400e97 · outbound

This paper cites Calders, S.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Calders, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.715715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f4ecd120-7630-4aac-9632-91eecda548c2 · outbound

This paper cites Feldman, S.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Feldman, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.705144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58abdf8a-2b52-4e10-a8a1-7bb3ea3f34db · outbound

This paper cites Hardt, E.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Hardt, E

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.694502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1df27b35-f699-44ff-976b-68e9fe471871 · outbound

This paper cites an unresolved cited work.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:10.682394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 500b758b-1d67-42dd-836d-37560ecd4bf3 · outbound

This paper cites Verma, J.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Verma, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.669364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53826935-7513-4606-9703-9d1be5266abb · outbound

This paper cites Corbett-Davies, J.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Corbett-Davies, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.657125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cde99b00-7b30-450b-aa1e-90235040e0cd · outbound

This paper cites Calmon, D.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Calmon, D

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.644346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c13bab3c-779b-4032-b589-59863c51295c · outbound

This paper cites A statistical framework for fair predictive algorithms.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems A statistical framework for fair predictive algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:10.153363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37474e40-e9f6-4198-b4ef-aa024a76cf11 · outbound

This paper cites Samadi, U.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Samadi, U

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.631419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation db6eea78-9ac7-4266-9195-0a3f0ef5622f · outbound

This paper cites Certifying and removing disparate impact.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Certifying and removing disparate impact

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:10.161650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3edaacf8-e3d0-44cc-b9bf-2121a75d7d4b · outbound

This paper cites Cohen-Inger, G.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Cohen-Inger, G

Reference 18

Resolution: verified exact; doi, observed 2026-08-10T21:44:10.285333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d371c9eb-9ffb-42ee-a6ab-0c5f053dd6db · outbound

This paper cites Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:10.169605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6566af-ef02-42ea-bf7c-d2fb13ef6eae · outbound

This paper cites Heidari, A.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Heidari, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.618980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c10c0a9-8700-4ad4-9aaf-7c02490b1045 · outbound

This paper cites an unresolved cited work.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:10.605546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0cd5e9ab-86db-4bd1-9a61-8d470135ea74 · outbound

This paper cites Corbett-Davies, E.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Corbett-Davies, E

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.592835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc320644-20b6-45e4-a0a5-0269adc858c3 · outbound

This paper cites Kobayashi, Y.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Kobayashi, Y

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.579124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c68b2f91-b36d-4942-8294-99c416deb3b3 · outbound

This paper cites Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:44:10.305657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c22e585-6464-41a0-bd33-18d4c88385bc · outbound

This paper cites Cohen, D.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Cohen, D

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.564781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf750421-a8d5-4df8-a954-3ff45700a116 · outbound

This paper cites Cohen, E.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Cohen, E

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.549515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 675a03ff-3a5e-418b-b2db-f7c742d58020 · outbound

This paper cites Cohen, N.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Cohen, N

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.536300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0ce2ef7-c20f-4d5a-a607-a4b53abd73e7 · outbound

This paper cites Cohen, N.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Cohen, N

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.522914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fd0ce05-0285-496a-b8ea-488b9ef85ada · outbound

This paper cites an unresolved cited work.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:10.510159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 938c2aa6-b16d-45f3-b7fc-9c44c2b6bb31 · outbound

This paper cites Sikdar, F.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Sikdar, F

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.496180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f31c35c2-d081-4434-b8ea-be7d628c34b9 · outbound

This paper cites Pedregosa, G.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Pedregosa, G

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:10.217510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59084bf6-91ef-49c2-b1fb-51aaff14a532 · outbound

This paper cites Le Quy, A.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Le Quy, A

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.471878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 937d42c4-e6a7-45ec-8779-4aeb65c74888 · outbound

This paper cites an unresolved cited work.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:10.458056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb526b12-7808-47c7-93a7-846f5e0dfe2b · outbound

This paper cites Kohavi, et al., Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid., in: Kdd, Vol.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Kohavi, et al., Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid., in: Kdd, Vol

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.443725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 769cf505-4f4b-40f1-8bfc-854e0f7fdcf9 · outbound

This paper cites Larson, S.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Larson, S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.429249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed890d19-645e-4bd1-a55e-5e93cb111a1a · outbound

This paper cites Angwin, J.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Angwin, J

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:44:10.415473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 463ba535-edea-4542-9485-4086adc68a66 · outbound

This paper cites an unresolved cited work.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:10.402104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d886e374-51be-40cb-b6b1-eefc0ad90089 · outbound

This paper cites an unresolved cited work.

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:44:10.388347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 8ccedcc8-dcec-4601-8551-3b9f0fc6a9e6 · inbound

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification cites this paper.

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification BiasGuard: Guardrailing Fairness in Machine Learning Production Systems

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:36:44.632131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.