Paper Citation Record · LEDGER

FROC: Building Fair ROC from a Trained Classifier

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2412.14724.

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

pith.paper-citation-record.v1
2412.14724 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:03:52.014897Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

41 of 41 outbound references displayed

verified exact0
verified fuzzy30
unresolved11
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f2fe419-58a8-431f-9efe-d1c4c2bffee9 · outbound

This paper cites The use of machine learning algorithms in recommender systems: A systematic review.

FROC: Building Fair ROC from a Trained Classifier The use of machine learning algorithms in recommender systems: A systematic review

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.656703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 067e5577-da65-4bfe-bbfc-9ea9aa22f173 · outbound

This paper cites Credit scoring and the availability, price, and risk of small business credit.

FROC: Building Fair ROC from a Trained Classifier Credit scoring and the availability, price, and risk of small business credit

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.641280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e97a397b-ffe2-4fb1-b201-e39f6b7bbd91 · outbound

This paper cites Machine bias.

FROC: Building Fair ROC from a Trained Classifier Machine bias

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.625268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76d52868-44cd-44fd-a035-0a5d01856f3d · outbound

This paper cites Amazon scraps secret ai recruiting tool that showed bias against women.

FROC: Building Fair ROC from a Trained Classifier Amazon scraps secret ai recruiting tool that showed bias against women

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.608964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 871c8dc7-8125-4b65-91bc-3da19bbb1fe9 · outbound

This paper cites Sex bias in graduate admissions: Data from berkeley.

FROC: Building Fair ROC from a Trained Classifier Sex bias in graduate admissions: Data from berkeley

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.593281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc03dd56-b12f-499c-aedc-d72b7b6f0a59 · outbound

This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

FROC: Building Fair ROC from a Trained Classifier Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 6

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Source-reported events for the cited work

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Observation bcfb3613-a118-46cf-b8ad-dda64d4664f3 · outbound

This paper cites Fairness through awareness.

FROC: Building Fair ROC from a Trained Classifier Fairness through awareness

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:03:51.856760Z

Source-reported events for the cited work

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Observation f8c0a9e3-f16b-44ee-9edf-d65da513bea3 · outbound

This paper cites Learning adversarially fair and transferable representations.

FROC: Building Fair ROC from a Trained Classifier Learning adversarially fair and transferable representations

Reference 8

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Source-reported events for the cited work

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Observation 66f382d7-2c5d-468d-87e3-296b0cf9350e · outbound

This paper cites Learning fair representations.

FROC: Building Fair ROC from a Trained Classifier Learning fair representations

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.557994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eba26d8d-7fc4-4152-9047-870576130815 · outbound

This paper cites Fnnc: Achieving fairness through neural networks.

FROC: Building Fair ROC from a Trained Classifier Fnnc: Achieving fairness through neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.542439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32582506-01a9-4c5c-bb90-7df4a3697022 · outbound

This paper cites Consultant-2: Pre-and post- processing of machine learning applications.

FROC: Building Fair ROC from a Trained Classifier Consultant-2: Pre-and post- processing of machine learning applications

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.527556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd17fe71-5325-43ab-9a85-f80d5b837e33 · outbound

This paper cites Achieving fairness via post-processing in web-scale recommender systems.

FROC: Building Fair ROC from a Trained Classifier Achieving fairness via post-processing in web-scale recommender systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.512012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4e287cf0-3953-40b7-9944-3b9daba2fc68 · outbound

This paper cites Inherent Trade-Offs in the Fair Determination of Risk Scores.

FROC: Building Fair ROC from a Trained Classifier Inherent Trade-Offs in the Fair Determination of Risk Scores

Reference 13

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Source-reported events for the cited work

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Observation b2306452-9470-4fb5-a78e-67fdeb6c1553 · outbound

This paper cites Fair prediction with disparate impact: A study of bias in recidivism prediction instruments.

FROC: Building Fair ROC from a Trained Classifier Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:03:51.890517Z

Source-reported events for the cited work

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Observation 8300c832-ca2d-4bec-8686-605859ee4293 · outbound

This paper cites Using auc and accuracy in evaluating learning algorithms.

FROC: Building Fair ROC from a Trained Classifier Using auc and accuracy in evaluating learning algorithms

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.488143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb9757eb-5daa-44fa-8aa2-e998c062e2f0 · outbound

This paper cites Ranking and empirical minimization of u-statistics.

FROC: Building Fair ROC from a Trained Classifier Ranking and empirical minimization of u-statistics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.473283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0dc7a6e4-54dd-4d91-8722-1b1da0ced2b4 · outbound

This paper cites Fairness in Ranking: A Survey.

FROC: Building Fair ROC from a Trained Classifier Fairness in Ranking: A Survey

Reference 17

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Source-reported events for the cited work

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Observation 1ea6a9fd-0a59-4a50-a49e-f72fae979122 · outbound

This paper cites an unresolved cited work.

FROC: Building Fair ROC from a Trained Classifier Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation ea5f8c5c-8cc5-426d-bfcb-a86520f597e1 · outbound

This paper cites Equality of opportunity in supervised learning.

FROC: Building Fair ROC from a Trained Classifier Equality of opportunity in supervised learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.447692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be0ae2be-1ba6-4b4b-a34e-2261e8714a8c · outbound

This paper cites Fairness definitions explained.

FROC: Building Fair ROC from a Trained Classifier Fairness definitions explained

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad9ed152-0438-4ad5-b728-91675acf2265 · outbound

This paper cites On the problem of underranking in group-fair ranking.

FROC: Building Fair ROC from a Trained Classifier On the problem of underranking in group-fair ranking

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.416733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 033fc841-6c94-4aca-a3d5-a4322aae7608 · outbound

This paper cites Fairness in Recommendation Ranking through Pairwise Comparisons.

FROC: Building Fair ROC from a Trained Classifier Fairness in Recommendation Ranking through Pairwise Comparisons

Reference 22

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Source-reported events for the cited work

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Observation 691ae008-e692-49a5-8f04-ea797ea8f600 · outbound

This paper cites Nuanced metrics for measuring unintended bias with real data for text classification.

FROC: Building Fair ROC from a Trained Classifier Nuanced metrics for measuring unintended bias with real data for text classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.401925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2de3a8b-fe67-4577-8b5b-4fbd90a3a538 · outbound

This paper cites The Fairness of Risk Scores beyond Classification: Bipartite Ranking and the XAUC Metric.

FROC: Building Fair ROC from a Trained Classifier The Fairness of Risk Scores beyond Classification: Bipartite Ranking and the XAUC Metric

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.387828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 223bc5c4-aef1-4285-b8b3-0ec3f85e078a · outbound

This paper cites Minimax auc fairness: Efficient algorithm with provable convergence.

FROC: Building Fair ROC from a Trained Classifier Minimax auc fairness: Efficient algorithm with provable convergence

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.373883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f036dfb4-0b09-46bd-9240-3f12a41d7000 · outbound

This paper cites Learning fair scoring functions: Bipartite ranking under roc-based fairness constraints.

FROC: Building Fair ROC from a Trained Classifier Learning fair scoring functions: Bipartite ranking under roc-based fairness constraints

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.358001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c56a8a0-d446-480b-bd94-70842c4cd07c · outbound

This paper cites Towards threshold invariant fair classification.

FROC: Building Fair ROC from a Trained Classifier Towards threshold invariant fair classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.342302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a6e3df5-0d5c-4f74-b279-570dec8c86f8 · outbound

This paper cites Optimized score transformation for fair classification.

FROC: Building Fair ROC from a Trained Classifier Optimized score transformation for fair classification

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.327761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d7cb383-8a30-49d5-8988-6bdbaf08cd8a · outbound

This paper cites Towards model-agnostic post-hoc adjustment for balancing ranking fairness and algorithm utility.

FROC: Building Fair ROC from a Trained Classifier Towards model-agnostic post-hoc adjustment for balancing ranking fairness and algorithm utility

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.311227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 608071ee-bd84-4e69-a142-0ab394bb9eee · outbound

This paper cites Fair and optimal prediction via post-processing.

FROC: Building Fair ROC from a Trained Classifier Fair and optimal prediction via post-processing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.294445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06e3bda3-9022-45b9-9200-185a09c2e433 · outbound

This paper cites Frappé: A group fairness framework for post-processing everything.

FROC: Building Fair ROC from a Trained Classifier Frappé: A group fairness framework for post-processing everything

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.276589Z

Source-reported events for the cited work

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Observation afc41cd1-fd5e-4590-b8d1-382b5b3a8be4 · outbound

This paper cites Unprocessing Seven Years of Algorithmic Fairness.

FROC: Building Fair ROC from a Trained Classifier Unprocessing Seven Years of Algorithmic Fairness

Reference 32

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Source-reported events for the cited work

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Observation d6c39c7e-0df2-41fc-8243-e3e3100e022f · outbound

This paper cites Group-aware threshold adaptation for fair classification.

FROC: Building Fair ROC from a Trained Classifier Group-aware threshold adaptation for fair classification

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.259932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f93cb4e0-769b-4081-9671-ff12ca56643e · outbound

This paper cites Fairness in risk assessment instruments: Post- processing to achieve counterfactual equalized odds.

FROC: Building Fair ROC from a Trained Classifier Fairness in risk assessment instruments: Post- processing to achieve counterfactual equalized odds

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.244010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 498f433b-6c63-474b-a5be-61ff79168dd9 · outbound

This paper cites an unresolved cited work.

FROC: Building Fair ROC from a Trained Classifier Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:03:52.226943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e21cda4-5414-448e-9796-dce26786a58d · outbound

This paper cites Training cost-sensitive neural networks with methods addressing the class imbalance problem.

FROC: Building Fair ROC from a Trained Classifier Training cost-sensitive neural networks with methods addressing the class imbalance problem

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.209090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec23d0a2-2d34-4dea-a9cf-ad2b50647e63 · outbound

This paper cites Auc optimization vs.

FROC: Building Fair ROC from a Trained Classifier Auc optimization vs

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.191703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9c523d1c-ec0e-47d7-bb86-6731754d5c42 · outbound

This paper cites Fairness and Machine Learning.

FROC: Building Fair ROC from a Trained Classifier Fairness and Machine Learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.175115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4863162a-4ab5-4348-a0e7-ac822b273c64 · outbound

This paper cites Is a 2000-year-old formula still keeping some secrets? The American Mathematical Monthly , 107(5):402–415, 2000.

FROC: Building Fair ROC from a Trained Classifier Is a 2000-year-old formula still keeping some secrets? The American Mathematical Monthly , 107(5):402–415, 2000

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.159012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f0bd2a8e-7fc4-40ac-89a6-b1081c0608c7 · outbound

This paper cites an unresolved cited work.

FROC: Building Fair ROC from a Trained Classifier Unresolved cited work

Reference 40

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Source-reported events for the cited work

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Observation b62fc9ba-7979-440b-bb45-53c398f3ceb0 · outbound

This paper cites Beyond adult and compas: Fair multi-class prediction via information projection.

FROC: Building Fair ROC from a Trained Classifier Beyond adult and compas: Fair multi-class prediction via information projection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:03:52.141669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.