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Paper Citation Record · LEDGER

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.20563.

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

pith.paper-citation-record.v1
2506.20563 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:50:22.020607Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96e7b4c6-9221-44de-8a20-8950e7079385 · outbound

This paper cites In: MICCAI 2017.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI 2017

Reference 1

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Observation 7584e4b0-2e3a-41ec-97fa-b51d8b19cf3f · outbound

This paper cites In: ISBI 2022.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: ISBI 2022

Reference 2

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Source-reported events for the cited work

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Observation 6884bd58-74f2-4085-a99c-159dc326e34e · outbound

This paper cites Machine learning79, 151–175 (2010).

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation Machine learning79, 151–175 (2010)

Reference 3

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Source-reported events for the cited work

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Observation d76653dc-9927-4c2e-b60d-5d8eeb40a158 · outbound

This paper cites an unresolved cited work.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 6c2794fb-c58a-4a39-952c-2e4730f66c77 · outbound

This paper cites In: European conference on computer vision.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: European conference on computer vision

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a36fc27a-e02a-4803-9b1e-79998b9baa90 · outbound

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

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 6

Resolution
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Source-reported events for the cited work

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Observation bd3ed1ed-b71c-45c9-b4df-87698318af8d · outbound

This paper cites In: CVPR.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: CVPR

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 07b25958-fc67-4ac5-86e6-f0071107e802 · outbound

This paper cites In: ISBI 2018.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: ISBI 2018

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 999514cb-df68-4434-a7f0-3d2d25e984f2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db084b3e-0daa-43f4-b64b-f86c7b687c82 · outbound

This paper cites In: Advances in neural information processing systems.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: Advances in neural information processing systems

Reference 10

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d767ccf-bc16-4cdb-806e-bfe89a4acec2 · outbound

This paper cites IEEE journal of biomedical and health informatics24(9), 2599–2608 (2020).

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation IEEE journal of biomedical and health informatics24(9), 2599–2608 (2020)

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2a1ba38e-9aa4-4d59-8e25-7ed851aa9176 · outbound

This paper cites In: AAAI 2024.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: AAAI 2024

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e0232a4f-c652-461b-a9bb-45e2612f8fae · outbound

This paper cites In: MICCAI: multi Atlas labeling beyond cranial vault-workshop challenge (2015).

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI: multi Atlas labeling beyond cranial vault-workshop challenge (2015)

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9eacba6f-3c3d-4707-9683-aa16c97f5b1f · outbound

This paper cites In: Workshop on challenges in representation learning, ICML.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: Workshop on challenges in representation learning, ICML

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 25739e33-f362-46f5-ab2e-1a59faeea664 · outbound

This paper cites In: International conference on medical imaging with deep learning.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: International conference on medical imaging with deep learning

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dacaafba-8479-4802-ab58-397311bd6c1b · outbound

This paper cites In: MICCAI.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 96a0287d-3618-4a0f-bbd2-c7c894fe11da · outbound

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

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: Proceedings of the IEEE international conference on computer vision

Reference 17

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Observation fcb73397-f24a-485c-be1c-609c3b404b67 · outbound

This paper cites In: CVPR.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: CVPR

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f0debbdc-8b7e-44b7-9517-8213e9dd6a13 · outbound

This paper cites In: Proceedings of the european conference on com- puter vision (eccv).

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: Proceedings of the european conference on com- puter vision (eccv)

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 123b028d-6a7a-4d58-a6ec-ef217a2ebdbb · outbound

This paper cites In: MICCAI 2015.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI 2015

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 31f86fc6-4eeb-4812-aa20-20e57fc859a8 · outbound

This paper cites Advances in neural information processing systems30(2017).

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation Advances in neural information processing systems30(2017)

Reference 21

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Source-reported events for the cited work

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Observation 6ef99801-722a-4663-9d16-3dbfef595049 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation Training data-efficient image transformers & distillation through attention

Reference 22

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Observation ba0740bf-6bb7-418c-bda0-22a8c3b5f83f · outbound

This paper cites Neural Networks145, 90–106 (2022).

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation Neural Networks145, 90–106 (2022)

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4dd783d8-ed18-46b4-99bd-8b6b33f1e75a · outbound

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

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 24

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Source-reported events for the cited work

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Observation 082e105f-7c3c-4106-b4db-5dd4d5da9ac0 · outbound

This paper cites In: MICCAI 2022.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI 2022

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c734261f-1628-4202-823d-36875d9e40b6 · outbound

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

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 390863b1-f34a-4b39-bcfa-a7798eb2134b · outbound

This paper cites In: MICCAI 2019.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI 2019

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a6e74422-596c-4305-81e1-0ec28107244c · outbound

This paper cites In: MICCAI 2017.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI 2017

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2ac4be59-bd4e-4f18-b8ef-1f1591a57e40 · outbound

This paper cites In: MICCAI 2021.

AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation In: MICCAI 2021

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d6abdaa6-8d35-478d-a25a-3b950e37d686 · outbound

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AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation Unresolved cited work

Reference 2021

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.