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Paper Citation Record · LEDGER

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging

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.

pith.paper-citation-record.v1
2505.15248 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:29.117988Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

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  • verified fuzzy11
  • unresolved13
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97ec18fe-6cc3-4259-bba3-3dc73d229f60 · outbound

This paper cites MAIRA-2: Grounded Radiology Report Generation.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging MAIRA-2: Grounded Radiology Report Generation

Reference 1

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Observation a1e3e521-412b-4e4a-8d93-4ab73528c9cd · outbound

This paper cites Do Lateral Views Help Automated Chest X-ray Predictions?.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Do Lateral Views Help Automated Chest X-ray Predictions?

Reference 2

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verified exact
local_arxiv, observed 2026-08-07T15:25:29.545266Z

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.

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Observation 0ac67edd-1357-492f-90e0-613ddb19134d · outbound

This paper cites Artificial intelligence in veterinary diagnostic imaging: Perspectives and limi- tations.Research in Veterinary Science, page 105317, 2024.

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

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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.

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Observation 6f4a056c-0247-495d-9395-0a2845618f82 · outbound

This paper cites Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d007fb40-c825-4083-b928-7725989ab88c · outbound

This paper cites Emerging properties in self-supervised vision transformers.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Emerging properties in self-supervised vision transformers

Reference 5

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Observation 28c3033e-ee3b-43e2-92fd-5016bd0dbc1e · outbound

This paper cites Med3D: Transfer Learning for 3D Medical Image Analysis.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Med3D: Transfer Learning for 3D Medical Image Analysis

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 41e43a4c-0853-4f21-9926-7522a45114f2 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging A simple framework for contrastive learning of visual representations

Reference 7

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Unavailable: canonical work link unavailable.

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Observation 8e8a6559-1696-4788-a44e-dd3c7286c39c · outbound

This paper cites Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V

Reference 8

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verified fuzzy
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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.

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Observation b30cffe4-c676-4a31-b9db-a302f7ab5284 · outbound

This paper cites Viewclr: Learning self-supervised video representation for unseen viewpoints.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Viewclr: Learning self-supervised video representation for unseen viewpoints

Reference 9

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verified fuzzy
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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.

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Observation 4b274aa0-1303-4cd3-863e-39567aa5bba1 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

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

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Observation 91afa156-87d4-4467-a695-e27af535f2a5 · outbound

This paper cites an unresolved cited work.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Unresolved cited work

Reference 11

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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.

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Observation 89c027cd-d161-465c-9d66-d038c7802ef4 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Momentum contrast for unsupervised visual representation learning

Reference 12

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Observation 2c567eb3-5393-4db6-a59d-e4fabd7a59e9 · outbound

This paper cites Artificial intelligence in veterinary diagnostic imaging: A literature review.Veterinary Radiology & Ultrasound, 63:851– 870, 2022.

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

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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.

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Observation 99bb39e0-e9e0-4fcc-b651-9c5bdc5a953b · outbound

This paper cites Imagenet classification with deep con- volutional neural networks.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Imagenet classification with deep con- volutional neural networks

Reference 14

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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.

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Observation 258cae65-ecb1-4d9e-a6c0-6b9075a5dab3 · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts, 2017.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Sgdr: Stochastic gradient descent with warm restarts, 2017

Reference 15

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Observation 2b5ce64c-fbc3-438d-b68a-c7c6bcfe8091 · outbound

This paper cites Decoupled weight decay regularization, 2019.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Decoupled weight decay regularization, 2019

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af01e176-7784-4cf1-8dc2-e7451a048af6 · outbound

This paper cites Comparison of two-vs.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Comparison of two-vs

Reference 17

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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.

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Observation 7a5a9492-7678-4ad1-96ba-1ac94deeb818 · outbound

This paper cites Dinov2: Learning robust visual features without supervi- sion, 2024.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Dinov2: Learning robust visual features without supervi- sion, 2024

Reference 18

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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.

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Observation 88e44efc-c51f-4ea3-a454-06c1bf1316ed · outbound

This paper cites Exploring scalable medical image encoders beyond text supervision.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Exploring scalable medical image encoders beyond text supervision

Reference 19

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Observation f17447f8-c1c6-4fe1-85ab-5074a3af1762 · outbound

This paper cites Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning.

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

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Source-reported events for the cited work

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Observation 85facd26-1f97-4fc2-88b2-ad077166633a · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging Facenet: A unified embedding for face recognition and clustering

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 196868b3-6ec3-461c-9024-6aca273255a2 · outbound

This paper cites MV2MAE: Multi-View Video Masked Autoencoders.

VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging MV2MAE: Multi-View Video Masked Autoencoders

Reference 22

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verified exact
local_arxiv, observed 2026-08-07T15:25:29.390936Z

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.

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Observation b21db348-6cc0-4889-b313-3678ac3b8b25 · outbound

This paper cites Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation.

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

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Unavailable: canonical work link unavailable.

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Observation 9f68863e-5229-4de1-93cb-5cf47aa0e3d9 · outbound

This paper cites StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images.

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

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verified exact
local_arxiv, observed 2026-08-07T15:25:29.302113Z

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.

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Observation 71d2cfe0-cfb6-4ae6-adc4-b476c7d0dd26 · outbound

This paper cites Pytorch image models.https://github.com/rwightman/ pytorch-image-models, 2019.

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

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raw_fallback, observed 2026-08-07T15:25:30.253940Z

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.

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Observation 33ad1838-2ed4-424e-89f9-802e2580083e · outbound

This paper cites The role of artificial intelligence in clinical imaging and workflows.Veterinary Radiology & Ultrasound, 63:897–902, 2022.

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

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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.

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Observation 999783ac-b21a-42d9-a94b-8dab59a2137c · outbound

This paper cites Preservational learning improves self-supervised medical image models by reconstructing diverse contexts.

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

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verified fuzzy
raw_fallback, observed 2026-08-07T15:25:29.834367Z

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.

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Pith citing papers

No inbound Pith citation observations are available.