Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:29.117988Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.15248.
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 2026-08-07T15:25:29.117988Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
27 of 27 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 97ec18fe-6cc3-4259-bba3-3dc73d229f60 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging MAIRA-2: Grounded Radiology Report Generation
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1e3e521-412b-4e4a-8d93-4ab73528c9cd · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Do Lateral Views Help Automated Chest X-ray Predictions?
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0ac67edd-1357-492f-90e0-613ddb19134d · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Artificial intelligence in veterinary diagnostic imaging: Perspectives and limi- tations.Research in Veterinary Science, page 105317, 2024
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6f4a056c-0247-495d-9395-0a2845618f82 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d007fb40-c825-4083-b928-7725989ab88c · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Emerging properties in self-supervised vision transformers
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28c3033e-ee3b-43e2-92fd-5016bd0dbc1e · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Med3D: Transfer Learning for 3D Medical Image Analysis
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41e43a4c-0853-4f21-9926-7522a45114f2 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging A simple framework for contrastive learning of visual representations
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e8a6559-1696-4788-a44e-dd3c7286c39c · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b30cffe4-c676-4a31-b9db-a302f7ab5284 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Viewclr: Learning self-supervised video representation for unseen viewpoints
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4b274aa0-1303-4cd3-863e-39567aa5bba1 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91afa156-87d4-4467-a695-e27af535f2a5 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 89c027cd-d161-465c-9d66-d038c7802ef4 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Momentum contrast for unsupervised visual representation learning
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c567eb3-5393-4db6-a59d-e4fabd7a59e9 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Artificial intelligence in veterinary diagnostic imaging: A literature review.Veterinary Radiology & Ultrasound, 63:851– 870, 2022
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 99bb39e0-e9e0-4fcc-b651-9c5bdc5a953b · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Imagenet classification with deep con- volutional neural networks
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 258cae65-ecb1-4d9e-a6c0-6b9075a5dab3 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Sgdr: Stochastic gradient descent with warm restarts, 2017
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b5ce64c-fbc3-438d-b68a-c7c6bcfe8091 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Decoupled weight decay regularization, 2019
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af01e176-7784-4cf1-8dc2-e7451a048af6 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Comparison of two-vs
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7a5a9492-7678-4ad1-96ba-1ac94deeb818 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Dinov2: Learning robust visual features without supervi- sion, 2024
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 88e44efc-c51f-4ea3-a454-06c1bf1316ed · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Exploring scalable medical image encoders beyond text supervision
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f17447f8-c1c6-4fe1-85ab-5074a3af1762 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 85facd26-1f97-4fc2-88b2-ad077166633a · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Facenet: A unified embedding for face recognition and clustering
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 196868b3-6ec3-461c-9024-6aca273255a2 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging MV2MAE: Multi-View Video Masked Autoencoders
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b21db348-6cc0-4889-b313-3678ac3b8b25 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f68863e-5229-4de1-93cb-5cf47aa0e3d9 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 71d2cfe0-cfb6-4ae6-adc4-b476c7d0dd26 · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Pytorch image models.https://github.com/rwightman/ pytorch-image-models, 2019
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 33ad1838-2ed4-424e-89f9-802e2580083e · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging The role of artificial intelligence in clinical imaging and workflows.Veterinary Radiology & Ultrasound, 63:897–902, 2022
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 999783ac-b21a-42d9-a94b-8dab59a2137c · outbound
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Preservational learning improves self-supervised medical image models by reconstructing diverse contexts
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
No inbound Pith citation observations are available.