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Paper Citation Record · LEDGER

Displacement Preserving Relational Distillation for Robust Medical Segmentation

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2607.04599.

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

pith.paper-citation-record.v1
2607.04599 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T16:38:56.238848Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:20:38.145418Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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Outbound references

Observation 7fb4295d-d033-47e0-8bd6-e2c170da3964 · outbound

This paper cites In: Pro- ceedings of the 2026 IEEE Intelligent Vehicles Symposium (IV) (2026).

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Pro- ceedings of the 2026 IEEE Intelligent Vehicles Symposium (IV) (2026)

Reference 1

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Observation 96c35e03-e6dd-42a6-8a14-02aa6fd86b10 · outbound

This paper cites IEEE transactions on medical imaging39(7), 2415–2425 (2020).

Displacement Preserving Relational Distillation for Robust Medical Segmentation IEEE transactions on medical imaging39(7), 2415–2425 (2020)

Reference 2

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Observation dcc97883-e365-4979-9bfc-4e2d30467d7a · outbound

This paper cites IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021).

Displacement Preserving Relational Distillation for Robust Medical Segmentation IEEE Transactions on Biomedical Engineering69(3), 1173–1185 (2021)

Reference 3

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Observation ddb47faf-530d-4da4-ab51-ae82c951b72e · outbound

This paper cites In: International MICCAI brainlesion workshop.

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: International MICCAI brainlesion workshop

Reference 4

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Observation 2f4b3b6b-a683-4168-abcd-5352c0f94dba · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 5

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Observation a076312b-3276-4602-a5a1-aaced5dadfb6 · outbound

This paper cites Scientific data9(1), 762 (2022) 10 Z.

Displacement Preserving Relational Distillation for Robust Medical Segmentation Scientific data9(1), 762 (2022) 10 Z

Reference 6

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Observation 4d5641f2-ddc6-4820-8097-61d763de70d9 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Displacement Preserving Relational Distillation for Robust Medical Segmentation Distilling the Knowledge in a Neural Network

Reference 7

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Observation 44276e72-e67b-4b63-989f-0bd6d0138ee6 · outbound

This paper cites Nature methods18(2), 203–211 (2021).

Displacement Preserving Relational Distillation for Robust Medical Segmentation Nature methods18(2), 203–211 (2021)

Reference 8

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Observation a7895aa8-21e4-45c2-88c1-ea4ec2405b94 · outbound

This paper cites Advances in neural information processing systems 35, 36722–36732 (2022).

Displacement Preserving Relational Distillation for Robust Medical Segmentation Advances in neural information processing systems 35, 36722–36732 (2022)

Reference 9

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Observation 7f8a7f9f-bf3d-4b79-9180-74e02bc243f3 · outbound

This paper cites arXiv preprint arXiv:2602.23752 (2026).

Displacement Preserving Relational Distillation for Robust Medical Segmentation arXiv preprint arXiv:2602.23752 (2026)

Reference 10

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Observation 46b26a8b-144c-4a60-b0ff-d1ab4fe8b355 · outbound

This paper cites arXiv preprint arXiv:2601.09191 (2026).

Displacement Preserving Relational Distillation for Robust Medical Segmentation arXiv preprint arXiv:2601.09191 (2026)

Reference 11

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Observation 0f96b500-123d-47d4-b6ca-cf49324c9e0f · outbound

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

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 12

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Observation 39f1f168-cf6e-4b89-9c77-a82d65731c80 · outbound

This paper cites 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation.

Displacement Preserving Relational Distillation for Robust Medical Segmentation 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Reference 13

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Observation d4ab7ec2-40c1-4b07-9c19-a0af3be9b820 · outbound

This paper cites Authorea Preprints (2026).

Displacement Preserving Relational Distillation for Robust Medical Segmentation Authorea Preprints (2026)

Reference 14

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Observation dd242e45-9dc4-438c-a71f-d79a64a6b77a · outbound

This paper cites Medical image analysis42, 60–88 (2017).

Displacement Preserving Relational Distillation for Robust Medical Segmentation Medical image analysis42, 60–88 (2017)

Reference 15

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Observation ad32df3a-7309-42e1-acbc-c1b0447622c8 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 16

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Observation 6cd69d08-84cc-4e5f-b941-6ab521c2e38d · outbound

This paper cites Langenbeck’s archives of surgery398(4), 501–514 (2013).

Displacement Preserving Relational Distillation for Robust Medical Segmentation Langenbeck’s archives of surgery398(4), 501–514 (2013)

Reference 17

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Observation dddf0c22-4cb6-46b2-9035-c8738483bb83 · outbound

This paper cites In: 2016 fourth international confer- ence on 3D vision (3DV).

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: 2016 fourth international confer- ence on 3D vision (3DV)

Reference 18

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Observation c862895c-9e8d-4fd2-b2f2-acd0d5cccae2 · outbound

This paper cites NeuroImage: Clinical22, 101766 (2019).

Displacement Preserving Relational Distillation for Robust Medical Segmentation NeuroImage: Clinical22, 101766 (2019)

Reference 19

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Observation e53a6487-36ff-4c22-9ce6-49e7579b855b · outbound

This paper cites Journal of Medical Imaging9(5), 052407–052407 (2022).

Displacement Preserving Relational Distillation for Robust Medical Segmentation Journal of Medical Imaging9(5), 052407–052407 (2022)

Reference 20

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Observation 4bea0d1c-7569-4532-8c53-2dec15d7e87b · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 21

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Observation bf690bac-4229-45d6-b800-c5c8421cdfe7 · outbound

This paper cites IEEE Transactions on Medical Imaging40(12), 3820–3831 (2021).

Displacement Preserving Relational Distillation for Robust Medical Segmentation IEEE Transactions on Medical Imaging40(12), 3820–3831 (2021)

Reference 22

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Observation 3f1fa7e4-10c9-4217-8dce-496ebdc7df1a · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Displacement Preserving Relational Distillation for Robust Medical Segmentation FitNets: Hints for Thin Deep Nets

Reference 23

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Observation b92e1e4f-bd34-455f-a998-8fa40464b6f6 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: International conference on medical image computing and computer-assisted intervention

Reference 24

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Observation 875f8e13-7ecc-4dd2-910c-faf10de7310a · outbound

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

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 25

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Observation 951b23e9-8b8a-45c3-b68c-7be90291cbca · outbound

This paper cites In: International Workshop on Deep Learning in Medical Image Analysis.

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: International Workshop on Deep Learning in Medical Image Analysis

Reference 26

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Observation f77638e1-dce9-4503-aca1-1708ed1e1f89 · outbound

This paper cites Contrastive Representation Distillation.

Displacement Preserving Relational Distillation for Robust Medical Segmentation Contrastive Representation Distillation

Reference 27

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Observation 63941e8b-7fce-42da-9de3-cc7ca015a3d3 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 28

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Observation 20cafa64-264a-498b-a8c3-e0714d00d34c · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 29

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Observation 89591bff-9da4-40ec-941e-5babe9a214fd · outbound

This paper cites In: Proceedings of the 33rd ACM International Conference on Multimedia.

Displacement Preserving Relational Distillation for Robust Medical Segmentation In: Proceedings of the 33rd ACM International Conference on Multimedia

Reference 30

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Pith citing papers

Observation 95ddd025-f8c2-4251-8ff2-9df8d720ca3f · inbound

MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation cites this paper.

MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation Displacement Preserving Relational Distillation for Robust Medical Segmentation

Reference 18

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