Paper Citation Record · LEDGER

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.14753.

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

pith.paper-citation-record.v1
2505.14753 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:35.615728Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact0
verified fuzzy26
unresolved2
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External citation measurements

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Outbound references

Observation ec4f947d-c5ce-48c9-9b0a-e973d7d5d2ea · outbound

This paper cites Medical image segmentation review: The success of u-net.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Medical image segmentation review: The success of u-net.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:40.826749Z

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 9ba89915-727b-49ae-8d00-60aa3dfd0a4e · outbound

This paper cites Bidirectional copy-paste for semi-supervised medical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Bidirectional copy-paste for semi-supervised medical image segmentation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:40.623573Z

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 4d32384d-57a8-4890-b665-29180eefcb0c · outbound

This paper cites An exceed- ingly simple consistency regularization method for semi-supervised medical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation An exceed- ingly simple consistency regularization method for semi-supervised medical image segmentation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:40.396409Z

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 034fb0fe-11a9-4c6f-ae3e-e0f9324d8038 · outbound

This paper cites Semi-supervised medical image segmentation via learning consistency under transfor- mations.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Semi-supervised medical image segmentation via learning consistency under transfor- mations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:40.204720Z

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 d5b1763c-a0e2-4224-bdba-b3a720e43d52 · outbound

This paper cites An elementary proof of the strong law of large numbers.Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, 55(1):119–122, 1981.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation An elementary proof of the strong law of large numbers.Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, 55(1):119–122, 1981

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:40.011123Z

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 31efec11-2673-447d-9b40-58c98570f54f · outbound

This paper cites Shape-aware semi-supervised 3d semantic seg- mentation for medical images.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Shape-aware semi-supervised 3d semantic seg- mentation for medical images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:39.853455Z

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 047fc022-661d-4e56-b86d-6394918105f6 · outbound

This paper cites Semi-supervised medical image segmentation through dual-task consistency.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Semi-supervised medical image segmentation through dual-task consistency

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:39.683749Z

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 226d3c00-100f-4cfa-818d-370eca9c2fb7 · outbound

This paper cites Efficient semi-supervised gross target volume of nasopharyngeal carcinoma segmentation via uncertainty rectified pyramid consistency.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Efficient semi-supervised gross target volume of nasopharyngeal carcinoma segmentation via uncertainty rectified pyramid consistency

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:39.513844Z

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 8cb5dd13-86d5-426f-b74d-a40378c55e62 · outbound

This paper cites Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.Medical Image Analysis, 80:102517, 2022.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.Medical Image Analysis, 80:102517, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:39.342348Z

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 9917acfa-cd62-46a2-99f3-12f583813339 · outbound

This paper cites Jensen’s inequality.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Jensen’s inequality

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:39.109084Z

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 e1ff4b17-ac41-4535-b780-8123e0fc154a · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:38.932925Z

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 106c2a30-1574-4c80-abad-2be74dcb0bc0 · outbound

This paper cites Pseudo labeling methods for semi-supervised semantic segmentation: A review and future perspectives.IEEE Transactions on Circuits and Systems for Video Technology, 2024.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Pseudo labeling methods for semi-supervised semantic segmentation: A review and future perspectives.IEEE Transactions on Circuits and Systems for Video Technology, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:38.672198Z

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 5ae28918-edf5-462c-a84d-320f94f3973b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:38.484545Z

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 3ec4ece9-3726-4cb8-8f02-e5a1fd260091 · outbound

This paper cites Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:38.299101Z

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 bd47ae7e-da91-4f34-8716-b17616c91fbd · outbound

This paper cites Consistency and adversarial semi-supervised learning for medical image segmentation.Computers in Biology and Medicine, 161:107018, 2023.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Consistency and adversarial semi-supervised learning for medical image segmentation.Computers in Biology and Medicine, 161:107018, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:38.082139Z

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 9d6c7021-2263-4fdf-b9ad-9b2e5f814460 · outbound

This paper cites Advent: Ad- versarial entropy minimization for domain adaptation in semantic segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Advent: Ad- versarial entropy minimization for domain adaptation in semantic segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:37.881471Z

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 29a37a35-4531-4a68-837d-951f5986d9fe · outbound

This paper cites GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation

Reference 17

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Source-reported events for the cited work

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Observation ef52fedb-51db-42b2-8c52-cf3064dd684a · outbound

This paper cites Equity in unsupervised domain adaptation by nuclear norm maximization.IEEE Transactions on Circuits and Systems for Video Technology, 34(7):5533–5545, 2024.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Equity in unsupervised domain adaptation by nuclear norm maximization.IEEE Transactions on Circuits and Systems for Video Technology, 34(7):5533–5545, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:34.676968Z

Source-reported events for the cited work

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Observation cf950473-3120-416d-9fe8-28445470fa69 · outbound

This paper cites Regularizing deep networks with semantic data augmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7):3733–3748, 2021.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Regularizing deep networks with semantic data augmentation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7):3733–3748, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:37.658292Z

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 6cae5d5d-8b3b-4b7b-87a6-4a14395537a7 · outbound

This paper cites Federated semi-supervised medical image segmentation via prototype-based pseudo-labeling and contrastive learning.IEEE Transactions on Medical Imaging, 43(2):649–661, 2023.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Federated semi-supervised medical image segmentation via prototype-based pseudo-labeling and contrastive learning.IEEE Transactions on Medical Imaging, 43(2):649–661, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:37.463318Z

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 0ec056c8-b28b-4850-8a2f-a39500cb925e · outbound

This paper cites Semi-supervised left atrium segmentation with mutual consistency training.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Semi-supervised left atrium segmentation with mutual consistency training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:37.248561Z

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 ac42969d-ca63-48c5-91b2-dec010ec3f48 · outbound

This paper cites Mutual consistency learning for semi-supervised medical image segmentation.Medical Image Analysis, 81:102530, 2022.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Mutual consistency learning for semi-supervised medical image segmentation.Medical Image Analysis, 81:102530, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:37.090451Z

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 069a33a6-b476-4d2b-8ae1-56c5d60ee0a8 · outbound

This paper cites Exploring smooth- ness and class-separation for semi-supervised medical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Exploring smooth- ness and class-separation for semi-supervised medical image segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:36.817827Z

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 4883a1cd-dcf2-4687-b525-0d568b039ef5 · outbound

This paper cites Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:36.668599Z

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 f2e4d898-1c6f-452a-8582-4c55c27b4496 · outbound

This paper cites Pca: Semi-supervised segmentation with patch confidence adversarial training.IEEE Transactions on Network Science and Engineering, 2025.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Pca: Semi-supervised segmentation with patch confidence adversarial training.IEEE Transactions on Network Science and Engineering, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:36.444360Z

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 b23e6457-487a-44cc-abcd-e8d28918d016 · outbound

This paper cites Uncertainty- aware self-ensembling model for semi-supervised 3d left atrium segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Uncertainty- aware self-ensembling model for semi-supervised 3d left atrium segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:36.313142Z

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 680a9221-f650-4458-a171-1fa4af6aa84c · outbound

This paper cites Deep adversarial networks for biomedical image segmentation utilizing unannotated images.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Deep adversarial networks for biomedical image segmentation utilizing unannotated images

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:36.129958Z

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 10b8a492-489d-4b54-a0e3-e47d48da93b7 · outbound

This paper cites Alternate diverse teaching for semi-supervised medical image segmentation.

TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation Alternate diverse teaching for semi-supervised medical image segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:39:35.843198Z

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

Pith citing papers

No inbound Pith citation observations are available.