Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T23:09:29.358159Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2605.25402.
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 2026-06-29T23:09:29.358159Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 968504f9-d8e6-48a8-b6f1-dbc18d1d9447 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Data in brief28, 104863 (2020)
Reference 1
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Observation 4c52e979-6b92-4f4d-a0b4-378690fdda4f · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: International Conference on Medical Image Computing and Computer-Assisted Intervention
Reference 2
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Observation 0202dca0-dbc0-4331-8fe8-e7d21610dece · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation IETE Technical Review32(6), 435–453 (2015)
Reference 3
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Observation c3ede81f-c0bb-4326-90ee-b59eb34e69ed · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Applied Sciences11(2), 672 (2021)
Reference 4
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Observation 9939cb28-2b6e-4725-aee5-70b4d2e58752 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation https://www.butterflynetwork.com/index
Reference 5
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Observation ced13f1e-2d43-4e67-a20c-5c829df95030 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: International conference on machine learning
Reference 6
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Unavailable: canonical work link unavailable.
Observation 9b174a95-fa68-429c-bf8e-d0866cf9c111 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Improved Baselines with Momentum Contrastive Learning
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 82a09c43-69b5-45aa-8289-89a7f186842d · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d510317-7231-4ab8-ad6a-1cdb39fcb3f0 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: 2009 IEEE conference on computer vision and pattern recognition
Reference 9
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Unavailable: canonical work link unavailable.
Observation f9166f61-6bc5-406d-8f09-a3deab263948 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Eu- ropean Conference on Computer Vision
Reference 10
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Observation c58f8675-0b2b-4bdb-aeb4-9c3a4f6a9a59 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Reference 11
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Observation 4a8cd694-c309-4d7a-9f81-976a67e947bf · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Refine and Represent: Region-to-Object Representation Learning
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cad91ec9-15c1-481e-96f0-4dc7633461d7 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Computers in biology and medicine155, 106389 (2023)
Reference 13
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Unavailable: canonical work link unavailable.
Observation 93721d0d-198c-476e-8910-3189c30ed49e · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Advances in neural information processing systems33, 21271–21284 (2020)
Reference 14
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Unavailable: canonical work link unavailable.
Observation ce488111-9476-4aa7-9be8-6e3ac66c0e04 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 15
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Observation 4ec36f15-2b2b-49fe-9b88-fc8a0e33cd97 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 16
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Unavailable: canonical work link unavailable.
Observation 62667d28-18c2-4620-8173-de9820eae30a · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 17
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Unavailable: canonical work link unavailable.
Observation 8673cb41-65b1-4dc2-a256-bf7f0ec7790f · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation IEEE Journal of Biomedical and Health Informatics (2025)
Reference 18
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Unavailable: canonical work link unavailable.
Observation c0b17c58-586d-4e75-832d-e8fe56f62761 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 19
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Observation 9945a975-0cd3-4ef7-847c-7816ba09189b · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation IEEE trans- actions on medical imaging38(9), 2198–2210 (2019)
Reference 20
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Unavailable: canonical work link unavailable.
Observation 4cda10a2-cfd1-4daa-8a1e-a97c9bcb4935 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Proceedings of the IEEE conference on computer vision and pattern recognition
Reference 21
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Observation 4ee8583f-b8d7-4ea7-bc49-f8eafe3407b1 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation arXiv preprint arXiv:2510.22990 (2025)
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d30baba4-ba0a-456f-8bd5-8255850348f4 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: 10th International symposium on medical information processing and analysis
Reference 23
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Observation e50134c7-8aeb-43d2-8522-252c60813093 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Nature neuroscience2(1), 79–87 (1999)
Reference 24
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Observation 03933bd6-c178-410a-ba0c-2267a4d90fb2 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Advances in neural information processing systems33, 596–608 (2020)
Reference 25
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Observation c91cc3d1-2841-4451-95c9-dd911fb06f13 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b7fff22-a051-4ae3-854d-1bb9baf3a860 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Advances in Neural Information Processing Systems (2017)
Reference 27
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Unavailable: canonical work link unavailable.
Observation face6b2d-f8d1-4062-be8a-6120771a67f6 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Advances in neural information processing systems35, 16423–16438 (2022)
Reference 28
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Observation cbad2151-86a3-4ab3-91d0-d3329bedd87f · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c8717a4a-d366-43b5-a780-3546e9ede2d5 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Medical Imaging 2017: Image Processing
Reference 30
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Observation f2602e95-ca50-4a78-a89f-948611491cbe · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 31
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Observation cbb79cd7-1de2-4ee6-8b18-62303ff42d59 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation Artificial Intelligence in Medicine107, 101880 (2020)
Reference 32
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Observation 6188d164-b885-4ef4-b294-da610b25b383 · outbound
Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation In: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Reference 33
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No inbound Pith citation observations are available.