Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:55:58.278105Z
Paper Citation Record · LEDGER
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning
As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.01073.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved4
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 248b07e9-f57f-49a4-bb2b-ad21187aca5d · outbound
This paper cites Cancer/Radiotherapie, 2024.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Cancer/Radiotherapie, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:01.415678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7cfea701-7f0d-4374-8c1e-ab8940547218 · outbound
This paper cites Journal of Applied Clinical Medical Physics, 2020.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Journal of Applied Clinical Medical Physics, 2020
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:01.350595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8506493c-4e97-4e84-9d93-7750c673f14d · outbound
This paper cites Radiation Oncology, 2022.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Radiation Oncology, 2022
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:01.236316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a58eb2cd-dcee-4374-aade-44af3a902672 · outbound
This paper cites Journal of Applied Clinical Medical Physics, 2023.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Journal of Applied Clinical Medical Physics, 2023
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:01.089961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 530c2d51-80fb-480c-9002-1167a8cb96b3 · outbound
This paper cites Medical physics, 2022.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Medical physics, 2022
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.982999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation de5d65a0-8a49-4ab6-bbc6-f0dde1e8bf2d · outbound
This paper cites Nature Communications, 2024.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Nature Communications, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.918990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 75010fb0-1412-403b-b366-e2e371e3647a · outbound
This paper cites Medclip: Contrastive learning from unpaired medical images and text.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Medclip: Contrastive learning from unpaired medical images and text
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.849008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9cb9bbfa-4601-4d93-b511-dbcd33aa1706 · outbound
This paper cites an unresolved cited work.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:56:00.786045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3269e957-1624-4221-950b-22cc3f2e7db2 · outbound
This paper cites Medical Image Analysis, 2022.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Medical Image Analysis, 2022
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.721748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6766ee7c-55ae-4e72-a091-7c50a4016e7d · outbound
This paper cites The Cancer Imaging Archive, 2017.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning The Cancer Imaging Archive, 2017
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.625907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 587d9957-f30b-4527-81df-139e490fd162 · outbound
This paper cites EBioMedicine, 2020.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning EBioMedicine, 2020
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.465559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b91fdf75-ee05-4933-ab5d-e7bc772162ef · outbound
This paper cites Cancer Imaging Arch, 2015.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Cancer Imaging Arch, 2015
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.260430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b619a7b0-d0c6-4cdd-a55f-d70d9616fe5a · outbound
This paper cites The Cancer Imaging Archive, 2020.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning The Cancer Imaging Archive, 2020
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:56:00.084487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 569845c0-9b70-4fcc-9bf5-d9ac54a9a721 · outbound
This paper cites Radiotherapy and Oncology, 2025.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Radiotherapy and Oncology, 2025
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:59.902438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 751059d8-1350-4674-b1f9-d5f1470fd497 · outbound
This paper cites Radiology: Artificial Intelligence, 2023.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Radiology: Artificial Intelligence, 2023
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:59.751161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b7b1adcd-75a8-491b-a29d-7f0f74e6dc87 · outbound
This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:55:57.953057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b80166ba-42b2-4e6e-8356-15ca82e21fc2 · outbound
This paper cites STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:55:57.994806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c2973f5-988c-42ce-88a7-c1e57af0b4f7 · outbound
This paper cites an unresolved cited work.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:55:59.596933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1f6c6c9c-4fe1-4d4a-bfc8-ce063c905169 · outbound
This paper cites Segreg: Segmenting oars by registering mr images and ct annotations.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Segreg: Segmenting oars by registering mr images and ct annotations
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:59.402568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a077af51-c97d-45b6-9909-94c8ec036058 · outbound
This paper cites Medical Physics, 2021.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Medical Physics, 2021
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:59.193115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4002ab39-7c49-4bba-ba84-8df2cf3d0926 · outbound
This paper cites Journal of applied clinical medical physics, 2022.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Journal of applied clinical medical physics, 2022
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:58.969841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3d10af85-c219-4087-a955-c78c90759353 · outbound
This paper cites Medical physics,.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Medical physics,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:58.822525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5f6fd1c9-da8e-4ac9-af31-39c5ea334be4 · outbound
This paper cites Physics in Medicine & Biology, 2024.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Physics in Medicine & Biology, 2024
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:58.590047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 06a3838d-a591-45f5-ac6c-1dcf8379c92f · outbound
This paper cites International Journal of Imaging Systems and Technology, 2022.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning International Journal of Imaging Systems and Technology, 2022
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:58.532066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9b8b518b-aa55-48f4-8e92-4e56d1d246bf · outbound
This paper cites Medical physics, 2020.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Medical physics, 2020
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:58.464331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f412cbdb-df7f-4a0d-8427-0671a723f047 · outbound
This paper cites Journal of Medical Imaging, 2024.
A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning Journal of Medical Imaging, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:55:58.426331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 832bcbe5-700b-481c-90d5-a68a885ed781 · outbound
This paper cites 7028-7042.
Reference 2021
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-07T11:55:58.752433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.