Paper Citation Record · LEDGER

BM-CL: Bias Mitigation through the lens of Continual Learning

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2509.01730.

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

pith.paper-citation-record.v1
2509.01730 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:20:14.059364Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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 exact1
verified fuzzy25
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35e382c7-7893-4049-b6d3-481eea8c0b9f · outbound

This paper cites Gender shades: Intersectional accuracy disparities in commercial gender classification,.

BM-CL: Bias Mitigation through the lens of Continual Learning Gender shades: Intersectional accuracy disparities in commercial gender classification,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.837961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0b559ade-91db-490f-91d4-1a741414d029 · outbound

This paper cites A survey on bias and fairness in machine learning,.

BM-CL: Bias Mitigation through the lens of Continual Learning A survey on bias and fairness in machine learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.819814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7f38eedc-9f8a-44f7-b679-a471b90e53f2 · outbound

This paper cites MEDFAIR: Benchmarking Fairness for Medical Imaging.

BM-CL: Bias Mitigation through the lens of Continual Learning MEDFAIR: Benchmarking Fairness for Medical Imaging

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:20:14.292582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b51dcbdc-36b9-4d93-9698-c3c07a1117c2 · outbound

This paper cites Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis,.

BM-CL: Bias Mitigation through the lens of Continual Learning Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.803359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7019343-134c-432c-9f15-b586d2c97fdd · outbound

This paper cites On feature learning in the presence of spurious correlations,.

BM-CL: Bias Mitigation through the lens of Continual Learning On feature learning in the presence of spurious correlations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.785310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eeb1fb9d-bff3-4872-9b47-1faa9e2ddb8f · outbound

This paper cites Spurious correlations in machine learning: A survey,.

BM-CL: Bias Mitigation through the lens of Continual Learning Spurious correlations in machine learning: A survey,

Reference 6

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Source-reported events for the cited work

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Observation d9215108-f8d0-426f-a542-ddfff76d0381 · outbound

This paper cites Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers,.

BM-CL: Bias Mitigation through the lens of Continual Learning Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.769745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b4ec995-46b3-41bc-9950-80a5ad7c7869 · outbound

This paper cites The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default.

BM-CL: Bias Mitigation through the lens of Continual Learning The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:13.860989Z

Source-reported events for the cited work

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Observation 3511d29e-00aa-4625-ae3c-df2c64ca8c51 · outbound

This paper cites Chen and B.

BM-CL: Bias Mitigation through the lens of Continual Learning Chen and B

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.753741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c05f5ebd-63ac-4faf-9b01-ff1cd62e2802 · outbound

This paper cites Catastrophic forgetting in connectionist networks,.

BM-CL: Bias Mitigation through the lens of Continual Learning Catastrophic forgetting in connectionist networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:13.873524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d4b4d00-2285-4468-bdbb-b1338695f9b7 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

BM-CL: Bias Mitigation through the lens of Continual Learning Overcoming catastrophic forgetting in neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:13.878013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da487dc-ff5f-4fc5-8db7-7a4b7c932f1c · outbound

This paper cites Learning without forgetting,.

BM-CL: Bias Mitigation through the lens of Continual Learning Learning without forgetting,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:13.882924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb14c62-858e-459e-a457-a1d76a506236 · outbound

This paper cites Machine bias,.

BM-CL: Bias Mitigation through the lens of Continual Learning Machine bias,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.707655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7e206353-6807-4c86-b241-7c778496f992 · outbound

This paper cites Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations,.

BM-CL: Bias Mitigation through the lens of Continual Learning Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.692648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8e5adcf-7a5e-45b2-a8cf-3bc41926db34 · outbound

This paper cites Fairness through awareness,.

BM-CL: Bias Mitigation through the lens of Continual Learning Fairness through awareness,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.677446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 827a0286-55e8-4d51-9db4-24f1b2a69ae7 · outbound

This paper cites Why fairness cannot be automated: Bridging the gap between eu non-discrimination law and ai,.

BM-CL: Bias Mitigation through the lens of Continual Learning Why fairness cannot be automated: Bridging the gap between eu non-discrimination law and ai,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.663476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cc748353-4d2f-434a-a409-84eb87896221 · outbound

This paper cites Equality of opportunity in supervised learning,.

BM-CL: Bias Mitigation through the lens of Continual Learning Equality of opportunity in supervised learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.648644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3547f57-9f64-4877-b1fe-babcc44f569b · outbound

This paper cites Minimax group fairness: Algorithms and experiments,.

BM-CL: Bias Mitigation through the lens of Continual Learning Minimax group fairness: Algorithms and experiments,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.633256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a5acbf6c-0add-42fc-8734-b71655285697 · outbound

This paper cites Open challenges on fairness of artificial intelligence in medical imaging applications,.

BM-CL: Bias Mitigation through the lens of Continual Learning Open challenges on fairness of artificial intelligence in medical imaging applications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.617539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dd0a8720-ebdb-473e-b219-8acab8712c3a · outbound

This paper cites Addressing fairness in artificial intelligence for medical imaging,.

BM-CL: Bias Mitigation through the lens of Continual Learning Addressing fairness in artificial intelligence for medical imaging,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.598899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 051e06d6-cd64-495d-bbf2-99aab9fdef73 · outbound

This paper cites Ethical use of artificial intelligence in medical diagnostics demands a focus on accuracy, not fairness,.

BM-CL: Bias Mitigation through the lens of Continual Learning Ethical use of artificial intelligence in medical diagnostics demands a focus on accuracy, not fairness,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.582192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0470aad5-608b-4987-9750-ca2549d715eb · outbound

This paper cites Positive-sum fairness: Leveraging demographic attributes to achieve fair ai outcomes without sacrificing group gains,.

BM-CL: Bias Mitigation through the lens of Continual Learning Positive-sum fairness: Leveraging demographic attributes to achieve fair ai outcomes without sacrificing group gains,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.565788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd1b219a-4232-436c-8972-71fc4cd7001a · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks,.

BM-CL: Bias Mitigation through the lens of Continual Learning A continual learning survey: Defying forgetting in classification tasks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.549348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ba629bf-4382-4a8b-aeab-d852785009c8 · outbound

This paper cites Domain-incremental contin- ual learning for mitigating bias in facial expression and action unit recognition,.

BM-CL: Bias Mitigation through the lens of Continual Learning Domain-incremental contin- ual learning for mitigating bias in facial expression and action unit recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.534121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b8ab91d7-6c5d-47ab-aa56-b1131d03a17e · outbound

This paper cites Bi- aspruner: Debiased continual learning for medical image classifica- tion,.

BM-CL: Bias Mitigation through the lens of Continual Learning Bi- aspruner: Debiased continual learning for medical image classifica- tion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.517452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a2fd421-2cec-4458-b890-1f12bee12481 · outbound

This paper cites An overview of statistical learning theory,.

BM-CL: Bias Mitigation through the lens of Continual Learning An overview of statistical learning theory,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.498908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad948fd3-a2da-4ab1-92c4-3979be3322b9 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

BM-CL: Bias Mitigation through the lens of Continual Learning Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d80c7a-4125-4b81-9c08-de44867c61e7 · outbound

This paper cites Simple data balancing achieves competitive worst-group-accuracy,.

BM-CL: Bias Mitigation through the lens of Continual Learning Simple data balancing achieves competitive worst-group-accuracy,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.478504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d60c4254-12b1-4deb-b1ae-62128f65eeae · outbound

This paper cites Just train twice: Improving group robustness without training group information,.

BM-CL: Bias Mitigation through the lens of Continual Learning Just train twice: Improving group robustness without training group information,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.458894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09b4f305-d9a7-44bd-a046-24d2c85ea2b3 · outbound

This paper cites Learning from failure: De- biasing classifier from biased classifier,.

BM-CL: Bias Mitigation through the lens of Continual Learning Learning from failure: De- biasing classifier from biased classifier,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.441398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aff8c45a-c9de-43fd-aa61-7bdcface3805 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

BM-CL: Bias Mitigation through the lens of Continual Learning Distilling the Knowledge in a Neural Network

Reference 31

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Source-reported events for the cited work

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Observation b4283ba9-ea85-42e1-8a9b-50e2bdf09027 · outbound

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BM-CL: Bias Mitigation through the lens of Continual Learning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:20:14.423854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4e5dfe08-d00d-4fa3-a57e-4eeb7d99d8df · outbound

This paper cites an unresolved cited work.

BM-CL: Bias Mitigation through the lens of Continual Learning Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:14.017941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7947af76-2add-4408-8c87-bab8da252196 · outbound

This paper cites Three scenarios for continual learning.

BM-CL: Bias Mitigation through the lens of Continual Learning Three scenarios for continual learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:14.027030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dea1a32e-863b-483a-85e9-1e56187ee5bd · outbound

This paper cites A comprehensive survey of continual learning: theory, method and application,.

BM-CL: Bias Mitigation through the lens of Continual Learning A comprehensive survey of continual learning: theory, method and application,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:14.032787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c055dd0-24e8-42d0-bd97-e7dcb42e58fd · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset,.

BM-CL: Bias Mitigation through the lens of Continual Learning The caltech-ucsd birds-200-2011 dataset,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:14.037127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 695b1df0-05df-4669-9f70-558d80f938e3 · outbound

This paper cites Deep learning face attributes in the wild,.

BM-CL: Bias Mitigation through the lens of Continual Learning Deep learning face attributes in the wild,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.368738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6afcb494-6dad-4022-9dc6-0f8715e0b07b · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,.

BM-CL: Bias Mitigation through the lens of Continual Learning Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:20:14.350719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 43b5aee6-2e4c-4bfc-b0b1-584a46d8c2e4 · outbound

This paper cites Deep residual learning for image recognition,.

BM-CL: Bias Mitigation through the lens of Continual Learning Deep residual learning for image recognition,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:14.050021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3099b546-5c98-45e4-8b44-f347f219df78 · outbound

This paper cites Imagenet large scale visual recognition challenge,.

BM-CL: Bias Mitigation through the lens of Continual Learning Imagenet large scale visual recognition challenge,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:14.054597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c51fa3-3676-4324-a143-7401468116c4 · outbound

This paper cites Automatic differentiation in pytorch,.

BM-CL: Bias Mitigation through the lens of Continual Learning Automatic differentiation in pytorch,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T12:20:14.059364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.