Paper Citation Record · LEDGER

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2412.16542.

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

pith.paper-citation-record.v1
2412.16542 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:33:20.173391Z

measured 22 of 22 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

22 of 22 outbound references displayed

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unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b4b7a5c-75fc-4423-886c-2125a6d0dda7 · outbound

This paper cites A review of deep learning in medical imaging: Imaging traits, technol- ogy trends, case studies with progress highlights, and future promises,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis A review of deep learning in medical imaging: Imaging traits, technol- ogy trends, case studies with progress highlights, and future promises,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.552939Z

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.

Observation ffc56996-6277-4121-9730-aa833bfd2703 · outbound

This paper cites Enhancing the fairness of ai prediction models by quasi-pareto improvement among heterogeneous thyroid nodule population,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Enhancing the fairness of ai prediction models by quasi-pareto improvement among heterogeneous thyroid nodule population,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.533623Z

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

Observation ccfcbc57-3493-41d1-a170-c7b326567f27 · outbound

This paper cites Medfair: Benchmarking fairness for medical imaging,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Medfair: Benchmarking fairness for medical imaging,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.512034Z

Source-reported events for the cited work

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Observation 7883cc22-46c2-4f2e-a395-068604189303 · outbound

This paper cites Does the fairness of your pre-training hold up? examining the influence of pre-training techniques on skin tone bias in skin lesion classification,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Does the fairness of your pre-training hold up? examining the influence of pre-training techniques on skin tone bias in skin lesion classification,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.492952Z

Source-reported events for the cited work

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Observation 893da5f9-4b54-4ee1-987a-db980725f053 · outbound

This paper cites Fairprune: Achieving fairness through pruning for dermatological disease diagnosis,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Fairprune: Achieving fairness through pruning for dermatological disease diagnosis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.472919Z

Source-reported events for the cited work

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Observation f773b433-a8c4-4505-83af-ca5839e86cb9 · outbound

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

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis A survey on bias and fairness in machine learning,

Reference 6

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Source-reported events for the cited work

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Observation e637289f-634a-40ed-9f9b-46d89f3f61a1 · outbound

This paper cites Fairadabn: Miti- gating unfairness with adaptive batch normalization and its application to dermatological disease classification,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Fairadabn: Miti- gating unfairness with adaptive batch normalization and its application to dermatological disease classification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.445166Z

Source-reported events for the cited work

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Observation 89fa194b-7217-4acf-a125-9fbae3068c08 · outbound

This paper cites Fairness in cardiac mr image analysis: an investigation of bias due to data imbalance in deep learning based segmentation,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Fairness in cardiac mr image analysis: an investigation of bias due to data imbalance in deep learning based segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.427813Z

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.

Observation 899e3f14-63d0-4177-bfb8-6081effd1368 · outbound

This paper cites Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:33:20.271613Z

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.

Observation 9377e6ca-7279-4ade-a8a3-49bedebe7a03 · outbound

This paper cites Domain-incremental continual learning for mitigating bias in facial expression and action unit recog- nition,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Domain-incremental continual learning for mitigating bias in facial expression and action unit recog- nition,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.409854Z

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.

Observation ff43cd32-b2c6-4b55-9731-8c9ff0daf61d · outbound

This paper cites Catastrophic interference in connec- tionist networks: The sequential learning problem,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Catastrophic interference in connec- tionist networks: The sequential learning problem,

Reference 11

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Source-reported events for the cited work

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Observation 556f25e3-a385-4b56-9f2d-73b883fc7848 · outbound

This paper cites Class-incremental continual learning into the extended der-verse,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Class-incremental continual learning into the extended der-verse,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.380943Z

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.

Observation 047c934d-214e-4670-8ca7-fbfd94978dbb · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis mixup: Beyond Empirical Risk Minimization

Reference 13

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Source-reported events for the cited work

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Observation bb84ee50-3b86-4f46-94b4-f2ee22e8bcdd · outbound

This paper cites Supervised contrastive learn- ing,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Supervised contrastive learn- ing,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:33:20.132381Z

Source-reported events for the cited work

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Observation 57a1f3f4-c146-426a-8713-5d59f8f00187 · outbound

This paper cites Learning fair representations,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Learning fair representations,

Reference 15

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Source-reported events for the cited work

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Observation 989ef770-a782-4df0-a621-d0298d785e1d · outbound

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

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:33:20.142814Z

Source-reported events for the cited work

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Observation 56797d35-bde1-4391-81f2-707047e624d9 · outbound

This paper cites End: Entangling and disentangling deep representations for bias correction,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis End: Entangling and disentangling deep representations for bias correction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.341849Z

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.

Observation 71a90240-897a-4788-8d3a-2ee3706cbda9 · outbound

This paper cites Conditional Learning of Fair Representations.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Conditional Learning of Fair Representations

Reference 18

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Source-reported events for the cited work

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Observation 32e838a2-e439-40c9-a36a-ffb46e622126 · outbound

This paper cites Pcr: Proxy-based contrastive replay for online class-incremental continual learning,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Pcr: Proxy-based contrastive replay for online class-incremental continual learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.324611Z

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.

Observation 3a0ad7a4-7d18-49ef-adfe-20cdc515a8e0 · outbound

This paper cites Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:33:20.308340Z

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.

Observation 5a664627-cde8-4ed4-86ab-78a471f69091 · outbound

This paper cites an unresolved cited work.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:33:20.168447Z

Source-reported events for the cited work

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Observation d3c17c64-4064-4ea7-ab1e-e25418f99f91 · outbound

This paper cites Equality of opportunity in supervised learning,.

FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis Equality of opportunity in supervised learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:33:20.173391Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.