Paper Citation Record · LEDGER

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective

As of 14 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.00619.

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

pith.paper-citation-record.v1
2502.00619 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:23:21.939923Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy16
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fee70540-4927-4e61-9f54-a0464a0a9e8c · outbound

This paper cites write newline.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.814910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b0b4308-28b8-4e43-8c86-86f2f513703e · outbound

This paper cites an unresolved cited work.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:23:22.468779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3fba6f3c-4e02-42d9-980e-8d855b3b73e6 · outbound

This paper cites an unresolved cited work.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:23:22.452198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 83f8ecb7-c8dd-4556-a38a-869fd9ccebb5 · outbound

This paper cites an unresolved cited work.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:23:22.422503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2a5c6af-08eb-4695-8be7-c74aa593945b · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.831871Z

Source-reported events for the cited work

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Observation 135d33f8-8cfb-4269-8972-10c34d14567c · outbound

This paper cites Low-rank mixture-of-experts for continual medical image segmentation.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Low-rank mixture-of-experts for continual medical image segmentation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.410245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a4846e58-83fe-4ec2-9b89-55596bdcba94 · outbound

This paper cites T., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective T., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.839488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce70830-514d-4089-a854-6de50a333b0b · outbound

This paper cites S., Wicker, J., Sun, Q., and Lee, J.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective S., Wicker, J., Sun, Q., and Lee, J

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.843296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7186c8-25ee-4fd2-b670-8e41ee45425a · outbound

This paper cites S., Brox, T., and Ronneberger, O.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective S., Brox, T., and Ronneberger, O

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.391311Z

Source-reported events for the cited work

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Observation aefd50af-dcf3-4f6b-9a97-8d57b3a65be2 · outbound

This paper cites C., Francis, B.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective C., Francis, B

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.379743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6dd4b04-c941-4ca7-9703-194d1702e9be · outbound

This paper cites an unresolved cited work.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.853922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8acc37a1-5dac-4f55-8ff9-33079ae613c4 · outbound

This paper cites and Shen, Y.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective and Shen, Y

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.362124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae98679f-f7b0-453e-80dd-8a41005ee342 · outbound

This paper cites FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.860879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8abe89cc-ff5b-4262-b93d-a359b81c7914 · outbound

This paper cites G., Azizi, S., Belgrave, D., Kohli, P., Cemgil, T., et al.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective G., Azizi, S., Belgrave, D., Kohli, P., Cemgil, T., et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.351001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c8986446-15ff-4e28-ae1a-5aa0efeb25f2 · outbound

This paper cites Crafting papers on machine learning.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Crafting papers on machine learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.867797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3a39421-c215-44e8-8a61-34d512e5f9ae · outbound

This paper cites Fairdiff: Fair segmentation with point-image diffusion.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Fairdiff: Fair segmentation with point-image diffusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.332447Z

Source-reported events for the cited work

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Observation 1bbd2978-732b-4c91-989a-782765f4f16c · outbound

This paper cites Decoupled Weight Decay Regularization.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Decoupled Weight Decay Regularization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.874463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a48c2f01-3a42-4202-9d24-871920fafcac · outbound

This paper cites Beyond finite layer neural networks: Bridging deep architectures and numerical differential equations.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Beyond finite layer neural networks: Bridging deep architectures and numerical differential equations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.321159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33c878af-d5c0-4a6a-bb7a-94b6c705a174 · outbound

This paper cites Learning adversarially fair and transferable representations.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Learning adversarially fair and transferable representations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.880944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e4a3999-6740-4a68-835d-bb36f5c85d52 · outbound

This paper cites K., Cho, Y., Lee, I.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective K., Cho, Y., Lee, I

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.296657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8488df3c-1eac-45a8-b3c2-a98467bbca54 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Pytorch: An imperative style, high-performance deep learning library

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.888075Z

Source-reported events for the cited work

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Observation a2560474-ff1d-4539-b0ed-0f5dd7076423 · outbound

This paper cites Divide and not forget: Ensemble of selectively trained experts in Continual Learning.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Divide and not forget: Ensemble of selectively trained experts in Continual Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.891173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e221a7a2-aa81-4902-8571-212ee1678750 · outbound

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

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.894847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca5834b1-f8a6-4975-a247-d19134946bde · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.898392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf85e0db-32d1-47e2-8571-d62ff6a02a9d · outbound

This paper cites Layer-parallel training of residual networks with auxiliary variable networks.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Layer-parallel training of residual networks with auxiliary variable networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.267998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 14528ea3-8552-4f36-a7fa-e9f8e59a9947 · outbound

This paper cites A., Branche, A.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective A., Branche, A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.252468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2c159290-94ff-4d82-81e4-925806600fbb · outbound

This paper cites Fairseg: A large-scale medical image segmentation dataset for fairness learning using segment anything model with fair error-bound scaling.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Fairseg: A large-scale medical image segmentation dataset for fairness learning using segment anything model with fair error-bound scaling

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.236653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fa992d86-70d9-4a76-8a4b-ec326afc7f0a · outbound

This paper cites M., Huang, H., Khan, M.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective M., Huang, H., Khan, M

Reference 28

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Source-reported events for the cited work

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Observation c17d0c8c-43b1-4686-b7e4-6c92b139b581 · outbound

This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.915614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f0708e-89e0-4963-8b6d-0f66fc467f25 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective N., Kaiser, ., and Polosukhin, I

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.919238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98190359-5476-4448-9a97-4595aa02d265 · outbound

This paper cites Sam-med3d-moe: Towards a non-forgetting segment anything model via mixture of experts for 3d medical image segmentation.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Sam-med3d-moe: Towards a non-forgetting segment anything model via mixture of experts for 3d medical image segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.200820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cc40f252-dd09-48ce-8b9f-71a72f4dfe84 · outbound

This paper cites A proposal on machine learning via dynamical systems.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective A proposal on machine learning via dynamical systems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:21.926107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0a22ec-99d5-48cc-9041-85d63eb654e1 · outbound

This paper cites Mode switching control design with initial value compensation and its application to head positioning control on magnetic disk drives.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Mode switching control design with initial value compensation and its application to head positioning control on magnetic disk drives

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.180976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 22f1dd84-bc9d-4f05-b43c-21bc42a1da5e · outbound

This paper cites Boosting continual learning of vision-language models via mixture-of-experts adapters.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Boosting continual learning of vision-language models via mixture-of-experts adapters

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.169120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 818dcbd1-24d7-49a9-9e13-47285cef1652 · outbound

This paper cites Sliding mode switching control of manipulators based on disturbance observer.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Sliding mode switching control of manipulators based on disturbance observer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.155986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf9640e8-6d95-448a-a320-e1fc23726681 · outbound

This paper cites D., Visentin, M., Qiao, M., Gu, R., Ouyang, C., Liu, Y., Matthews, P.

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective D., Visentin, M., Qiao, M., Gu, R., Ouyang, C., Liu, Y., Matthews, P

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:23:22.141161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.