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Paper Citation Record · LEDGER

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2411.08297.

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

pith.paper-citation-record.v1
2411.08297 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:50:01.835293Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

40 of 40 outbound references displayed

  • verified exact6
  • verified fuzzy21
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e7bcca9-39df-4320-b05a-31a637be0dcb · outbound

This paper cites Fair regression: Quantitative definitions and reduction-based algorithms.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fair regression: Quantitative definitions and reduction-based algorithms

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.501457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.682906Z digest=sha256:26e2f963370d1de748bbb7a4d471ecd776021ceda85091124256642123b11279

Observation 65360bc0-7aef-423a-a1e4-1d7e68e777a4 · outbound

This paper cites Machine bias: Technical response to northpointe, 2016.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Machine bias: Technical response to northpointe, 2016

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.490718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.687812Z digest=sha256:856df2a8b5704a98d47e31d035afe640881ed05fad44bf590760a37a7c64b633

Observation 70556bc2-3d88-4995-ae80-5fb1594658ed · outbound

This paper cites Machine bias, 2016.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Machine bias, 2016

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.479097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.691664Z digest=sha256:10aa50217cac7f1538b7a14fe5331fc8830d230ab547ab7dfd00544a24542550

Observation 995e110d-7f4e-445b-9dd2-8a724bde4df2 · outbound

This paper cites Linear Algebra Done Right.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Linear Algebra Done Right

Reference 4

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unresolved
no resolver link, observed 2026-08-12T21:50:01.696525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.696525Z digest=sha256:6f242f01540dbd512bd087761036904dd8b5dbe2582055827624603a75a86f6e

Observation 344c76aa-7e4c-43e7-8e9e-c16020d7b214 · outbound

This paper cites R\'enyi Fair Inference.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property R\'enyi Fair Inference

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:50:02.224537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.700660Z digest=sha256:609cea0ea12a25560d42482e97138ba9b390b10bfc5cde6d9a5c08b5ffbd10b4

Observation f517bdf7-e3fc-452f-9693-31e8f5976dc9 · outbound

This paper cites Fairness and Machine Learning: Limitations and Opportunities.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fairness and Machine Learning: Limitations and Opportunities

Reference 6

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unresolved
no resolver link, observed 2026-08-12T21:50:01.704889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.704889Z digest=sha256:c71dca75da96ffa2c52fefd0821f9bbeef7e87522ec13558429227a64419c8e6

Observation 052f426b-5928-458f-9cb0-c1a80387700a · outbound

This paper cites Machine unlearning.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Machine unlearning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.453300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.708600Z digest=sha256:57776c859ddff9ef8cd86312b93aa57ddb4c4efb2ff4df5f436016bf6ec9cebe

Observation 166c1968-c934-4fec-b2a4-10d7339999f8 · outbound

This paper cites Optimized pre-processing for discrimination prevention.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Optimized pre-processing for discrimination prevention

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.442986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.711491Z digest=sha256:1fbe796ee673d66a470254fb2e9754a2d3b35319c30092de7699a615865cb061

Observation 3b8d9e36-8250-4f2d-952d-0bef9c16bd21 · outbound

This paper cites Fairness-aware graph neural networks: A survey.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fairness-aware graph neural networks: A survey

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.432174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.714462Z digest=sha256:3cc4372b4b3054a96fcc7e3480dc7b7f6a31ff45d3f491b249ff5eeea71111ed

Observation 636b0326-06f9-4801-a034-b23cf27421f2 · outbound

This paper cites Ethics and discrimination in artificial intelligence-enabled recruitment practices.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Ethics and discrimination in artificial intelligence-enabled recruitment practices

Reference 10

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unresolved
no resolver link, observed 2026-08-12T21:50:01.717347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.717347Z digest=sha256:ed6f74e671aac0ffc30e27eb85a0d99463ffeb33b38df5104c096f9ecf8067c5

Observation 4c898082-6453-43da-9e7e-957a56d77a1a · outbound

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

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

Reference 11

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unresolved
no resolver link, observed 2026-08-12T21:50:01.720253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.720253Z digest=sha256:3a1589d66c36dd13ee787de4a8b4106a137524015ecd01a44d93cb4019f9c9d1

Observation 1059410e-d71e-4143-82c0-b7817f736e10 · outbound

This paper cites Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.415220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.723418Z digest=sha256:2a28070bbf87e16ca85b2f20ebbd778a0d607a1896dd7f87f3dc44d047986356

Observation f46d524e-8802-4565-b7fe-f1037bf82c27 · outbound

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

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Amazon scraps secret ai recruiting tool that showed bias against women

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.405213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.726302Z digest=sha256:303571223ae7180eae58f1b8aeab90bf55f9f160a8ef9f765b99fcd9e2e30b1c

Observation 6626cf9a-b1a5-47d8-84e0-506e3835fc1a · outbound

This paper cites How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? British Journal of Educational Technology, 53: 0 1--22, 04 2022.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? British Journal of Educational Technology, 53: 0 1--22, 04 2022

Reference 14

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no resolver link, observed 2026-08-12T21:50:01.729215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.729215Z digest=sha256:f7f310f31292fe378ecb382bb6133d8f298d3d2333406eafc38e2c4bc51e8b83

Observation 56eaef3e-4059-4674-8415-12b75b8a3568 · outbound

This paper cites Fairness guarantees in multi-class classification with demographic parity.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fairness guarantees in multi-class classification with demographic parity

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.395398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.732999Z digest=sha256:25e75ef25d2c2ec65d0258e00f7440283237a1745f8ecaec94825c55721c7797

Observation 4972c4e0-60b1-42bb-abf8-679c80d265f3 · outbound

This paper cites an unresolved cited work.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-12T21:50:02.385692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.736792Z digest=sha256:6dfee6c765cbffb256c111ab675e18656615ee5443d2f0828e45828b0f0f751f

Observation 95f3b8ab-fc2c-440f-8d6d-ab67e74c63a0 · outbound

This paper cites Fairness through awareness.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fairness through awareness

Reference 17

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unresolved
no resolver link, observed 2026-08-12T21:50:01.740426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.740426Z digest=sha256:fc9df5528e53ed17000a15d4da3e336ea688e327598bb9ade62b7c8b7520de41

Observation 926224ec-1cbb-4c08-9d13-950b0f4597be · outbound

This paper cites Equality of Opportunity in Supervised Learning.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Equality of Opportunity in Supervised Learning

Reference 18

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unresolved
no resolver link, observed 2026-08-12T21:50:01.744029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.744029Z digest=sha256:efa03de573e02678e5e48c69078dff276b95522377592a8446fc6290662eea63

Observation 8ae2112d-186e-43f5-ab35-1ec3d4074d26 · outbound

This paper cites An algorithm for removing sensitive information.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property An algorithm for removing sensitive information

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.369120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.748099Z digest=sha256:af4941b8f3b50e7772894f1462938abb9b5bb827ef908c9eff3184ef91b52365

Observation ea64159e-020c-4253-9286-3043ab0c43ee · outbound

This paper cites Applied Multivariate Statistical Analysis.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Applied Multivariate Statistical Analysis

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.358949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.752119Z digest=sha256:5b8ae493e449699279a888a29dee30234267a597f302a3a2b8ac7924d368d1d8

Observation b0d19cd9-992b-4a23-9bb8-030ec68183c3 · outbound

This paper cites Enhancing individual fairness through propensity score matching.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Enhancing individual fairness through propensity score matching

Reference 21

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no resolver link, observed 2026-08-12T21:50:01.756019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.756019Z digest=sha256:46be02b4e6ad2a0ab676fd9ef047f28039b1ebdbca4b7c27a47fc7300ebd0b31

Observation 3df1f4a4-c92f-4054-a30a-6157dc55acaf · outbound

This paper cites Nonconvex optimization for regression with fairness constraints.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Nonconvex optimization for regression with fairness constraints

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.348668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.759745Z digest=sha256:156902ed8e02a17fc94e8180e73474acd7702c73b305bebdbfe95c622bd4f53c

Observation ca3e48ee-7f22-4224-b2bb-7e94f5484e26 · outbound

This paper cites Fairness in credit scoring: Assessment, implementation and profit implications.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fairness in credit scoring: Assessment, implementation and profit implications

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.338598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.763387Z digest=sha256:b095650e83eba2ff2d803cd7a46f002ca291f5c2e3fa3f8c9199a8af50affb63

Observation 07aa1f64-06ad-40a1-a2ff-c326908ae678 · outbound

This paper cites A maximal correlation approach to imposing fairness in machine learning.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property A maximal correlation approach to imposing fairness in machine learning

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.328235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.767259Z digest=sha256:62100f79c6482e602cff341d8d96f3e7bf5d399f9f2078cd05d7972b41583c90

Observation e6d44ce0-1e77-4225-b0e2-2fa1c572010e · outbound

This paper cites A statistical framework for fair predictive algorithms.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property A statistical framework for fair predictive algorithms

Reference 25

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unresolved
no resolver link, observed 2026-08-12T21:50:01.771517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.771517Z digest=sha256:0daa3127a7290d1368e64e6255a92cc0b61d83a4ea89be19353dd47fc3cff0fe

Observation 231cc6b0-9f92-4376-96d4-dac762e7ef4f · outbound

This paper cites Learning adversarially fair and transferable representations.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Learning adversarially fair and transferable representations

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.317979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.775491Z digest=sha256:587047ca7c5e1d6cd770fc05060d4874e09d2ad9ef19d4166c21a9bd980f0971

Observation 20c8b7f0-82ac-478f-b2d8-c6290b74da83 · outbound

This paper cites Fairness-aware learning for continuous attributes and treatments.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Fairness-aware learning for continuous attributes and treatments

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.307153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.779317Z digest=sha256:c3fb705467a6fcf62dfc7665686408f03d7c708d0477b77f21fde103c3024b9c

Observation c64c6cc3-2ce9-4a60-a607-5a0783764046 · outbound

This paper cites A Novel Regularization Approach to Fair ML.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property A Novel Regularization Approach to Fair ML

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:50:02.128309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.783485Z digest=sha256:98d4d0abd450a4d0135d4fa72bad4631448ab64e996616623ae9bcfb4325f058

Observation dc97ebbf-5eaf-4df8-84a9-0a9471807830 · outbound

This paper cites Improving fair training under correlation shifts.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Improving fair training under correlation shifts

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.296817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.788117Z digest=sha256:a01ee84fb205921e306c619e7016d790c9081f3a41a22b952c15662b2a8e2181

Observation 6caa627a-46a6-437e-85b4-043cf079c3c8 · outbound

This paper cites Machine learning: Algorithms, real-world applications and research directions.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Machine learning: Algorithms, real-world applications and research directions

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-12T21:50:02.112315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.792308Z digest=sha256:d808dcc4fcdf1e9cc0a1b0f4564627ecb6525fd6ebe8ba02cc116073f3d5ef1c

Observation 79bda3e7-6e66-467e-aa40-e7326d04e213 · outbound

This paper cites fairml: A Statistician's Take on Fair Machine Learning Modelling.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property fairml: A Statistician's Take on Fair Machine Learning Modelling

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:50:01.953595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.796785Z digest=sha256:991faba593acc676e2f932c5b42d2c3e1dda3ff2b799550a5aaf6413d686d34c

Observation 1aef8efa-3aa1-452c-9c50-04b6fe3fdd74 · outbound

This paper cites A general approach to fairness with optimal transport.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property A general approach to fairness with optimal transport

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T21:50:01.801724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.801724Z digest=sha256:2f83d924ac3a83709b0b69fe81875aad1091d3c5b8289a3f941c401e1a33e207

Observation dea6d7e0-0b71-447f-8917-5d8fce687a34 · outbound

This paper cites Discriminated by an algorithm: A systematic review of discrimination and fairness by algorithmic decision-making in the context of hr recruitment and hr development.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Discriminated by an algorithm: A systematic review of discrimination and fairness by algorithmic decision-making in the context of hr recruitment and hr development

Reference 33

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unresolved
no resolver link, observed 2026-08-12T21:50:01.806337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:50:01.806337Z digest=sha256:e24886b42bfab4c03998784e8e5744164bfcf8e37aaba25467a1c29171850811

Observation ed80ff7c-217a-4eca-b037-6b42c5562cbb · outbound

This paper cites fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:50:01.936399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.810605Z digest=sha256:bd6faf85ff590c87877b889434b9dff3dd8f5c00192f9cd5d69d505a7f38e728

Observation 1a17e643-a8a8-4da1-9ba3-978ac03ca14f · outbound

This paper cites Institute of statistics and decision sciences, 2009.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Institute of statistics and decision sciences, 2009

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.284975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.814885Z digest=sha256:46748cecb625d0b8dcd4df3a20d987542629f9583b78e42e97d09e6dedabbb45

Observation 7c5e3443-7674-4aab-858a-d6c1088d4458 · outbound

This paper cites an unresolved cited work.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:50:02.272048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.819323Z digest=sha256:2e585576fdabdc5cf8565bd98b630cd37a35a3ecfc375f352a8b8191b685fb28

Observation 5d8225b7-ad71-4a9d-9581-518fd0ee36e7 · outbound

This paper cites Learning fair representations.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Learning fair representations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.260193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.822845Z digest=sha256:637fc75887cf3653d6755650997e5c8ba2aecd17ad018dffbb7782e3edef28c4

Observation 7bde5677-baeb-4b8d-ba2e-cff3b4b8412f · outbound

This paper cites FAHT: An Adaptive Fairness-aware Decision Tree Classifier.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property FAHT: An Adaptive Fairness-aware Decision Tree Classifier

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:50:01.915375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.826665Z digest=sha256:3e1f8853ffcce0433e197bd1d91946412a91ccf8677c51d0e36b5f04c99d7f1a

Observation af75c19b-b77d-4355-ac9c-b1da52c751f6 · outbound

This paper cites Farf: A fair and adaptive random forests classifier.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Farf: A fair and adaptive random forests classifier

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.248168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.831058Z digest=sha256:09a4ca88096828c5c6627b135a7cc01b39ef4093ddc93109c66707ddf4e5096d

Observation 76b285a6-ecd6-40f3-a2d9-850a7b80d910 · outbound

This paper cites Towards fair classifiers without sensitive attributes: Exploring biases in related features.

TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property Towards fair classifiers without sensitive attributes: Exploring biases in related features

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:50:02.235985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T21:50:01.835293Z digest=sha256:6da15ec2366d6efad6638effde23e9476b1325febeedf7b8c330565229a39d28

Pith citing papers

No inbound Pith citation observations are available.