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Paper Citation Record · LEDGER

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.10154.

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

pith.paper-citation-record.v1
2507.10154 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:33.653815Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

27 of 27 outbound references displayed

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  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5c57d3a-4dd1-40a1-ba90-92b798861e1b · outbound

This paper cites In: International conference on machine learning.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers In: International conference on machine learning

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dba732ea-63df-4d44-95e8-4228b625752d · outbound

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

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8df529a7-318e-4cd7-b554-8fb153b36366 · outbound

This paper cites https://doi.org/10.1073/pnas.082080899, https://www.pnas.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers https://doi.org/10.1073/pnas.082080899, https://www.pnas

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c7b1f458-e632-47cc-806b-45cd9b3cd2cd · outbound

This paper cites In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

Reference 4

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a949894a-0470-4292-97f6-28912352ffe8 · outbound

This paper cites Annual Review of political science 17(1), 1–20 (2014) 14 Ricardo Inácio, Zafeiris Kokkinogenis, Vitor Cerqueira, and Carlos Soares.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Annual Review of political science 17(1), 1–20 (2014) 14 Ricardo Inácio, Zafeiris Kokkinogenis, Vitor Cerqueira, and Carlos Soares

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dd2939eb-44df-407a-8bfc-fa32cb29deaf · outbound

This paper cites Brookings Institution Press (1996).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Brookings Institution Press (1996)

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7adac0e6-49e6-4120-8f11-19841208da2d · outbound

This paper cites an unresolved cited work.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f829d063-3ab0-4ff9-93d7-7d9190a19380 · outbound

This paper cites an unresolved cited work.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0aa5a532-6115-44bd-a0d5-402b5f2a09fe · outbound

This paper cites Expert systems with applications 73, 220–239 (2017).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Expert systems with applications 73, 220–239 (2017)

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8ef1e7ad-203d-4a1d-8fa3-c8b37a507086 · outbound

This paper cites Advances in neural information processing systems29 (2016).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Advances in neural information processing systems29 (2016)

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 82ade21a-f874-4df2-9073-0eee310c59fb · outbound

This paper cites Im- balanced learning: Foundations, algorithms, and applications pp.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Im- balanced learning: Foundations, algorithms, and applications pp

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0f84c18f-ab9f-46cb-bc52-9b0b42da47f3 · outbound

This paper cites Neurocomputing 459, 249–289 (2021).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Neurocomputing 459, 249–289 (2021)

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation db8aa3d0-f864-490a-abd0-4ca366b3488b · outbound

This paper cites JMIR Medical Informatics 10(5), e36388 (2022).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers JMIR Medical Informatics 10(5), e36388 (2022)

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 208b4f87-808e-42dc-b334-1d01e53f34b9 · outbound

This paper cites Knowledge and information systems33(1), 1–33 (2012).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Knowledge and information systems33(1), 1–33 (2012)

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2ae357e5-d69d-4470-ab3d-a769bda0fb92 · outbound

This paper cites example weight- ing.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers example weight- ing

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ebf85f77-3062-4f9e-83c0-c31e212fc96e · outbound

This paper cites Advances in neural information processing systems30 (2017).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Advances in neural information processing systems30 (2017)

Reference 16

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites ACM computing surveys (CSUR)54(6), 1–35 (2021).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers ACM computing surveys (CSUR)54(6), 1–35 (2021)

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f9a979ce-96a1-45a4-826f-f162782a4753 · outbound

This paper cites an unresolved cited work.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Unresolved cited work

Reference 18

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Source-reported events for the cited work

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Observation 987f117e-7830-4eb7-9465-46c99dd14f2d · outbound

This paper cites In: The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2024),https://openreview.net/forum?id=knxGmi6SJi.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers In: The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2024),https://openreview.net/forum?id=knxGmi6SJi

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b667521d-6194-4f1a-9777-0894b3bb4871 · outbound

This paper cites Wiley Interdisciplinary Re- views: Data Mining and Knowledge Discovery10(3), e1356 (2020).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Wiley Interdisciplinary Re- views: Data Mining and Knowledge Discovery10(3), e1356 (2020)

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3ee6c682-bacc-46d5-b9d7-efaf86316396 · outbound

This paper cites Artificial Intelligence Review49, 281–299 (2018).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Artificial Intelligence Review49, 281–299 (2018)

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 169aa685-e8fc-4ae9-a6a8-044e494e4984 · outbound

This paper cites Advances in neural information processing systems33, 2798–2810 (2020).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Advances in neural information processing systems33, 2798–2810 (2020)

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0bfd4faa-f8eb-4a08-9ec2-87c1fc2fb8d2 · outbound

This paper cites Journal of Mathematical Sociology 1(2), 143 – 186 (1971).

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Journal of Mathematical Sociology 1(2), 143 – 186 (1971)

Reference 23

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Observation 515f8533-e0fd-4d05-a19c-a9830b593ff3 · outbound

This paper cites In: International Con- ference on Machine Learning.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers In: International Con- ference on Machine Learning

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bab1494f-fa61-47a7-b313-a6510772dfa8 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2f003fa7-26af-4a1c-ba31-3efce5f3e47d · outbound

This paper cites an unresolved cited work.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8444adf2-ecf1-4c01-b7be-afecbccd2fc2 · outbound

This paper cites an unresolved cited work.

Simulating Biases for Interpretable Fairness in Offline and Online Classifiers Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

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