Paper Citation Record · LEDGER

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.02641.

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

pith.paper-citation-record.v1
1908.02641 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:43:33.512420Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acb5d3a7-a6a6-47f4-86ce-4d467722c149 · outbound

This paper cites AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T14:43:33.246822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfb851cd-528c-4fb1-9690-116340a2508e · outbound

This paper cites an unresolved cited work.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:43:34.086787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0da5af61-10e5-4d69-bf62-005bed96babe · outbound

This paper cites Nature 425(6955), 297 (2003).

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Nature 425(6955), 297 (2003)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:34.076507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f46523dd-d712-4e7d-82de-8dd4db99ade4 · outbound

This paper cites In: 2009 IEEE International Conference on Data Mining Workshops.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning In: 2009 IEEE International Conference on Data Mining Workshops

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:34.055872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6b26cc2-21bd-4cd8-a953-6c0b67695402 · outbound

This paper cites Science Advances 4, eaao5580 (Jan 2018).

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Science Advances 4, eaao5580 (Jan 2018)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:43:33.306708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e296ded-26e5-49c3-b975-7c7b72ac6bfd · outbound

This paper cites uci.edu/ml.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning uci.edu/ml

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.969037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 309843dc-b2a4-47a0-9cc7-2196198cf335 · outbound

This paper cites Adversarial Removal of Demographic Attributes from Text Data.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Adversarial Removal of Demographic Attributes from Text Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:43:33.356828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8704b96b-c82a-4cd3-8eb9-acb0fe4a1554 · outbound

This paper cites The quarterly journal of economics 114(3), 817–868 (1999).

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning The quarterly journal of economics 114(3), 817–868 (1999)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.888529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7912ae5-987a-4ea9-bf6c-3dd2728e52ce · outbound

This paper cites Games and Economic behavior 6(3), 347–369 (1994).

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Games and Economic behavior 6(3), 347–369 (1994)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.832297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 293d3bac-d6d3-4e0e-b27d-a9269a9eff4a · outbound

This paper cites Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:43:33.444060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39f1326f-b8f4-49c4-8901-aca9316d34f9 · outbound

This paper cites In: Advances in neural information processing systems.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning In: Advances in neural information processing systems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.820550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ec39eed-2f5a-429b-8cb3-9bfcc3b72b82 · outbound

This paper cites Angwin, J.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Angwin, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.808693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5e631e32-a268-441f-b399-3dfaf05ce159 · outbound

This paper cites Journal of business pp.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Journal of business pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.796860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 44a2d9cb-336f-4139-b457-4a5b19cddd49 · outbound

This paper cites In: 2011 IEEE 11th International Conference on Data Mining Workshops.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning In: 2011 IEEE 11th International Conference on Data Mining Workshops

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.783225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ddb6b509-f4d6-4840-b5ed-fe80041cb497 · outbound

This paper cites an unresolved cited work.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:43:33.769302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c7a6d6e8-6134-453b-90aa-dff002cb3876 · outbound

This paper cites an unresolved cited work.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:43:33.754729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60256ba5-244b-48d9-88b9-870ae3c5b349 · outbound

This paper cites In: Pro- ceedings of the 14th ACM SIGKDD international conference on Knowledge dis- covery and data mining.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning In: Pro- ceedings of the 14th ACM SIGKDD international conference on Knowledge dis- covery and data mining

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.708538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c25e087e-20de-4033-8cff-aef3053ab431 · outbound

This paper cites Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:43:33.559659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9134b60-2d99-454f-a24d-b38ffe41a03c · outbound

This paper cites In: International Conference on Machine Learning.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning In: International Conference on Machine Learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.625919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5221f310-626e-40b9-8eec-1546b2e3bb30 · outbound

This paper cites In: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society.

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning In: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:43:33.607067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.