Paper Citation Record · LEDGER

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.16429.

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

pith.paper-citation-record.v1
2507.16429 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:42.455667Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy29
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d000ba0-6724-4b24-9592-3186d84cb0bc · outbound

This paper cites In: Proceedings of the European Conference on Computer Vision.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the European Conference on Computer Vision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.949824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1b1e7009-2b66-4dd3-8e2b-6a0f32b3f9c4 · outbound

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

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 2

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Observation 2b611e2e-502a-4bd3-88bb-b8867aa4038c · outbound

This paper cites In: Proceedings of the International Conference on Machine Learning.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the International Conference on Machine Learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.804551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 707c5791-6ee0-47e9-9f32-515a27fbb726 · outbound

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

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.685940Z

Source-reported events for the cited work

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Observation b3e40e66-9fad-4453-a889-bbb79caa9449 · outbound

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

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.532928Z

Source-reported events for the cited work

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Observation 81ed856f-5957-4548-b468-cdb793dbf50a · outbound

This paper cites In: International Conference on Learning Representations (2021) 4, 8.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: International Conference on Learning Representations (2021) 4, 8

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.419371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8203f530-effa-4daf-94e5-6379a550dcd0 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Advances in Neural Information Processing Systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.310182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8abe672c-6c05-4d41-89b8-ed651f443795 · outbound

This paper cites CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80

Reference 8

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Source-reported events for the cited work

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Observation f3fa26a1-2c7e-4e38-a53f-033cf312dbd8 · outbound

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

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the IEEE International Conference on Computer Vision

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.253221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a2e16f2a-864c-4075-bede-d4aeab49b692 · outbound

This paper cites Expert Systems41(12), e13708 (2024) 7.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Expert Systems41(12), e13708 (2024) 7

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.131160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5e82ffd-23fe-44a7-95cb-6b95f53eb361 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:46.017671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 51923ca3-3939-4237-8084-93cdfee60a3e · outbound

This paper cites In: International Conference on Learning Representations (2025) 8.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: International Conference on Learning Representations (2025) 8

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:45.891353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 20d0d108-bdc1-4fcc-bee6-f539707305ba · outbound

This paper cites In: Proceedings of Medical Image Computing and Computer-Assisted Intervention (2024) 2.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of Medical Image Computing and Computer-Assisted Intervention (2024) 2

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:45.749651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5be3d2b4-7a58-437c-8c4d-862f479ad51c · outbound

This paper cites Medical Physics49(2), 1262–1275 (2022) 2.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Medical Physics49(2), 1262–1275 (2022) 2

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:45.602299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4695943-711d-47bf-85a8-c78ac1fb5b32 · outbound

This paper cites an unresolved cited work.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:14:45.460227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c1d29b3-ddb1-4372-8196-2b7e1b58761d · outbound

This paper cites Nature Communications15(1), 654 (2024) 2, 8 Robust Noisy Pseudo-label Learning Using Diffusion Model 11.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Nature Communications15(1), 654 (2024) 2, 8 Robust Noisy Pseudo-label Learning Using Diffusion Model 11

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:45.365138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5245b5c9-e74a-4a9d-a160-da61246fa7c4 · outbound

This paper cites Medical physics45(11), 5066–5079 (2018) 2.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Medical physics45(11), 5066–5079 (2018) 2

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:45.232483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5438a428-67c5-4a36-9c89-5851b7dee9aa · outbound

This paper cites Physics in Medicine & Biology66(5), 055019 (2021) 2.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Physics in Medicine & Biology66(5), 055019 (2021) 2

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:45.067140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97b13cdf-55f8-4cdd-bf33-30f57e01f511 · outbound

This paper cites IEEE Transactions on Biomedical Engineering69(2), 635–644 (2022) 2.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model IEEE Transactions on Biomedical Engineering69(2), 635–644 (2022) 2

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:44.909868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c731772c-4b12-4f15-bc7c-a4a721769134 · outbound

This paper cites IEEE Transactions on Medical Imaging34(10), 1993–2024 (2015) 2.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model IEEE Transactions on Medical Imaging34(10), 1993–2024 (2015) 2

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:44.774549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e81506a-afc2-4f12-842e-50a2ec13ea4f · outbound

This paper cites In: Proceedings of Medical Image Computing and Computer-Assisted Intervention.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of Medical Image Computing and Computer-Assisted Intervention

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:44.602830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 442f84ed-810a-41d0-9c1e-d879888a7553 · outbound

This paper cites The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

Reference 22

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Observation ae0ad631-0c36-4541-b396-e6fac1ae87c7 · outbound

This paper cites In: Proceed- ings of the International Conference on Machine Learning.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceed- ings of the International Conference on Machine Learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:44.448167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92bb5816-e4e6-4f25-bbe1-9c9079be061c · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Attention U-Net: Learning Where to Look for the Pancreas

Reference 24

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Source-reported events for the cited work

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Observation 6ac9e5e7-35b9-4b9c-a325-fc3ee7c2326c · outbound

This paper cites In: Medical Image Computing and Computer-Assisted Intervention.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Medical Image Computing and Computer-Assisted Intervention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:44.261859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01eda84c-fb18-4c57-8945-506080ff6b87 · outbound

This paper cites In: Proceedings of the International Conference on Machine Learning.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the International Conference on Machine Learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:44.099421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a46a105-446c-4629-affd-e0cfc8eada68 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Advances in Neural Information Processing Systems

Reference 27

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Observation d00d1b47-80b1-4216-99c7-d68f32cdc6de · outbound

This paper cites In: International Conference on Learning Representations (2021) 3, 6.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: International Conference on Learning Representations (2021) 3, 6

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:43.732859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6b2e2782-d85d-4aa5-b306-e5ce7c2c1939 · outbound

This paper cites In: Proceedings of the IEEE International Symposium on Biomedical Imaging.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the IEEE International Symposium on Biomedical Imaging

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:43.577435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26696982-0fae-4a9b-a35f-b590a391d027 · outbound

This paper cites In: Proceedings of the IEEE International Sympo- sium on Biomedical Imaging.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the IEEE International Sympo- sium on Biomedical Imaging

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:43.478972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66121c18-46ed-4dc4-bfa2-dddc0f400a27 · outbound

This paper cites Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods

Reference 31

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69b037ec-3156-41a2-b17c-1f0b25e1f570 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:43.321307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d1e18ef-4fa5-4fbb-bf0c-eba85607a622 · outbound

This paper cites Pattern Recognition166, 111722 (2025) 2.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model Pattern Recognition166, 111722 (2025) 2

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:43.145852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b349c5a-3cd4-4296-94b5-3fdbd91e9d5e · outbound

This paper cites In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:42.972799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d46b031a-9418-444c-989e-87fc0d41d54d · outbound

This paper cites In: Pro- ceedings of Medical Image Computing and Computer-Assisted Intervention.

Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model In: Pro- ceedings of Medical Image Computing and Computer-Assisted Intervention

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:14:42.851001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.