Paper Citation Record · LEDGER

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images

As of 15 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2411.09598.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.09598 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:31:00.536650Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:56:03.535481Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy9
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ee0debbd-91bf-4f19-860c-ff233875250e · outbound

This paper cites Atrial fibrillation.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Atrial fibrillation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.731503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee2b7879-e37f-4c15-acd9-4acfeb9bf936 · outbound

This paper cites Atrial fibrillation ablation outcome is predicted by left atrial remodeling on mri.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Atrial fibrillation ablation outcome is predicted by left atrial remodeling on mri

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.717417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5ce1504-7db2-49db-b8d7-582753f34417 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images DINOv2: Learning Robust Visual Features without Supervision

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:31:00.493920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 877d8c01-b336-44cf-981a-bd7bab411704 · outbound

This paper cites Deep learning: From natural to medical images.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Deep learning: From natural to medical images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.703947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4aca345f-ed87-43d0-9d29-8c0fedcb26bd · outbound

This paper cites Benchmark for algorithms segmenting the left atrium from 3d ct and mri datasets.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Benchmark for algorithms segmenting the left atrium from 3d ct and mri datasets

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.690150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22fe34c2-957e-4b03-b301-6c1a6bf9db38 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Attention U-Net: Learning Where to Look for the Pancreas

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T20:31:00.507416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac115bee-6f72-4793-bef2-dcc0cff2e742 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images U-net: Convolutional networks for biomedical image segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:31:00.512199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f05ba8d-8613-42b9-9501-4d712c7f3eeb · outbound

This paper cites Brain tumor detection and multi-classification using advanced deep learning techniques.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Brain tumor detection and multi-classification using advanced deep learning techniques

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.665822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5c54b74-bf94-40f4-ba42-e318489dad55 · outbound

This paper cites Left Atrium Dataset.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Left Atrium Dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.651188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f25246dd-c04f-4475-b115-dfc74672ce8f · outbound

This paper cites Morphological transformations.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Morphological transformations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.637524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e783ec7c-8ee5-4fb1-a93e-dddea7f00263 · outbound

This paper cites Research computing services, 2019.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Research computing services, 2019

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.623658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c5f74de-427d-4fc4-bb00-e676c35cb1e2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Adam: A Method for Stochastic Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:31:00.532330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c94d50b-9f55-428b-8ba3-16f69fadbbd0 · outbound

This paper cites Loss function.

Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Loss function

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:31:00.609769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation d04b3c13-f239-4950-984e-8a4f20115116 · inbound

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images cites this paper.

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T14:56:03.535481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbac5b5-8ae9-4826-b723-47fa98853b61 · inbound

Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy cites this paper.

Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-26T22:40:10.172191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.