Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:29:05.752620Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.29568.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:29:05.752620Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fec061a9-dc9f-40a5-a5ce-c39fd920af18 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Magnetic resonance imaging , volume=
Reference 1
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Observation 2828d09c-69e2-469f-954c-05e3a1ba1b92 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Nature medicine , volume=
Reference 2
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Observation f2a83802-c52e-48d8-98dc-b3b963bad0e1 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation International Conference on Medical image computing and computer-assisted intervention , pages=
Reference 3
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Observation c035d678-a073-402d-950f-8dba4cd23cfa · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation 2016 fourth international conference on 3D vision (3DV) , pages=
Reference 4
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Observation 9da8f9c8-9dcf-4c48-86d9-e71d0c8d0457 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Journal of hepatology , volume=
Reference 5
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Observation 8930f1a7-b7a0-4966-801e-0b995808d124 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Radiology , volume=
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Observation 4538c959-22bd-4e2b-9c88-7c42eb933c89 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Cancer Imaging , volume=
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Observation 7ad4d92a-e7a0-4f2b-9127-19cfc9ccd54c · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Best Practice & Research Clinical Gastroenterology , volume=
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Observation 07f5d5f3-7be3-4363-82b2-aa83f6db86b2 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Reference 9
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Observation 5c6f961c-84cb-40cb-8aa2-e8ae42bd005c · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Array , volume=
Reference 10
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Observation 5ae39b50-5c3c-432d-bd8c-bee203ea17d7 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 11
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Observation f8e385b8-80ac-4237-b3e7-aee99fe7ab21 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Proceedings of the IEEE/CVF winter conference on applications of computer vision , pages=
Reference 12
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Observation 93350a4b-e514-4c34-a675-ef316686ae6d · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation European conference on computer vision , pages=
Reference 13
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Observation fdadce94-9bdb-4d93-b27c-95926ffdfb73 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation IEEE Journal of Biomedical and Health Informatics , volume=
Reference 14
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Observation 60d43a42-1956-4c91-add7-41e6ca7ba23c · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation The British journal of radiology , volume=
Reference 15
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Observation fcc4957d-d822-46df-89c3-9e6d82c56a48 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Abdominal Radiology , volume=
Reference 16
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Observation b1426eab-d3d7-44f4-9368-76064c223db7 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation CA: a cancer journal for clinicians , volume=
Reference 17
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Observation d1b1a4e2-3305-4e66-a0aa-ad9ef1178d77 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Hepatology , volume=
Reference 18
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Observation 0906bb84-6fb5-4402-9792-afcf6f424a43 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Hepatology , volume=
Reference 19
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Observation aa50ff5b-5b05-482c-a9a3-5d1420d1cff6 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Hepatology , volume=
Reference 20
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Observation ab0e4b7b-a079-49c7-9b55-08f1c2b21ada · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Machine Vision and Applications , volume=
Reference 21
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Observation 24b8524b-d8c9-491a-9e89-daae0d74fad9 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 22
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Observation 402567ad-b384-4315-b703-34a2ff7be25d · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation arXiv preprint arXiv:2509.02379 , year=
Reference 23
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Observation 4ebf1ec2-df3a-45fe-b795-9facf275100b · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
Reference 24
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Observation 2c3fc9c1-13ad-497c-89f6-d8fb0c947c55 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Attention U-Net: Learning Where to Look for the Pancreas
Reference 25
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Observation 8ac83655-f7d8-49a3-8cc2-88b29fb3de76 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Advances in neural information processing systems , volume=
Reference 26
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Observation dc1129a7-065d-4512-9503-1775b892023a · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation ACM Computing Surveys , volume=
Reference 27
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Observation e3105c46-ca3c-4973-b4c5-742a2cd92e48 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Scientific reports , volume=
Reference 28
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Observation cd6e09e8-2b02-450e-95ab-b0345e0904ce · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Magnetic Resonance Imaging Clinics , volume=
Reference 29
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Observation 34011ffd-8323-4267-9b7e-941a1fb9bfdc · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation DINOv2: Learning Robust Visual Features without Supervision
Reference 30
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Observation 8caa9a0c-9d86-43d0-a403-822d84c68553 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation DINOv3
Reference 31
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Observation a12d0bc2-df29-4ce0-8a91-6f4849acefbf · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Medical Image Analysis , volume=
Reference 32
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Observation a1cd6591-0e44-43cb-ab19-b8dd6b5448cc · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Advances in neural information processing systems , volume=
Reference 33
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Observation 48840cf8-3cc6-4872-b7fa-96069d94f214 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Image and vision computing , volume=
Reference 34
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Observation 7b98b80e-8872-4da1-9e2d-53288c40de0c · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation IEEE transactions on medical imaging , volume=
Reference 35
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Observation 2fce5d83-d43f-4af9-b8e8-21267891310a · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation International conference on medical image computing and computer-assisted intervention , pages=
Reference 36
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Observation 7ed286c7-6d89-44c7-ab62-3d65001c0a56 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation International conference on medical image computing and computer-assisted intervention , pages=
Reference 37
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Observation 678cdfd8-192a-4f01-9f3f-03433a172ded · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Computer Methods and Programs in Biomedicine , volume=
Reference 38
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Observation 9668cac3-ed88-4d01-a5e8-20bbf0ac7fc3 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation IEEE transactions on medical imaging , volume=
Reference 39
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Observation 7c3584ae-1585-46b4-bb78-356018c01a17 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation International conference on medical image computing and computer-assisted intervention , pages=
Reference 40
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Observation 830f7007-498f-4fbc-bddf-772bcd4dad70 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
Reference 41
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Observation 74a441c9-3d5d-45bb-a0a5-1bca23974db3 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 42
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Observation 3ceb806e-198e-4334-9c63-8ca1375679a8 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation IEEE Transactions on Geoscience and Remote Sensing , volume=
Reference 43
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Observation f591dbfa-b408-45b1-9522-2c99d4c01c7b · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Proceedings of the AAAI conference on artificial intelligence , volume=
Reference 44
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Observation c6ff0887-b62a-463a-a4cd-b38810136768 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Reference 45
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Observation fcf8edae-7f06-4671-ae8a-10f88f26efa6 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Medical image analysis , volume=
Reference 46
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Observation 8c699eb8-4f45-422b-acc5-190d57fa634f · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation 2024 , month=
Reference 47
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.
Observation 382665b2-d1a6-471d-9153-694ff8ef0dd4 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Radiology: Artificial Intelligence , volume=
Reference 48
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Observation 7049f98f-e6a7-47f3-a758-4f5db28fdd62 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Vision interface , volume=
Reference 49
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Observation baae3112-18bd-43a4-b85f-613f02a8d657 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Optics letters , volume=
Reference 50
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Observation a8006dcb-636f-4e33-8030-f20296284fd7 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
Reference 51
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Observation 99ba161a-a10e-4cf1-8576-6519a5020b87 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation BMC medical imaging , volume=
Reference 52
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Observation 88f31dc4-d824-4e76-ae09-10c2d0136f05 · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Decoupled Weight Decay Regularization
Reference 53
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Observation db7f5246-f88d-42a7-82a3-d507ea76a16b · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation International Conference on Learning Representations (ICLR) , year=
Reference 54
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Observation e4396347-4132-4366-9a51-22c3edc98b2d · outbound
DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
Reference 55
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No inbound Pith citation observations are available.