Paper Citation Record · LEDGER

Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2312.02366.

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

pith.paper-citation-record.v1
2312.02366 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:39:15.141038Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.509377Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation ef10c205-444b-40ce-ab8e-2621e9488823 · inbound

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis cites this paper.

Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T17:39:15.141038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb4821b-7c4c-4dde-bd5e-4103a32c43da · inbound

Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST cites this paper.

Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:56:56.050935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecb5cee7-367e-406c-b78c-de632b36be8a · inbound

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases? cites this paper.

Is an Ultra Large Natural Image-Based Foundation Model Superior to a Retina-Specific Model for Detecting Ocular and Systemic Diseases? Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T15:59:47.458983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6f7ea0-ebff-45cb-866e-98d8565ee7d8 · 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 Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T14:56:03.519595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a6f0d2-234e-43e1-944a-890ebfa24ed0 · inbound

Simplifying DINO via Coding Rate Regularization cites this paper.

Simplifying DINO via Coding Rate Regularization Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T18:32:13.242796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e315247f-ea19-48ef-b3bf-55da60f54d51 · inbound

CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation cites this paper.

CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:31.435414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31bc2ae1-01bb-4158-a96c-c3dd1b7c4ac5 · inbound

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications cites this paper.

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:15:05.903143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc0fbd4-cec4-4c71-bf46-9e5ee33ebebb · inbound

MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering cites this paper.

MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:54.089610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696e74e2-dc50-403a-ada6-0b215f978f6e · inbound

VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection cites this paper.

VFM-Guided Semi-Supervised Detection Transformer under Source-Free Constraints for Remote Sensing Object Detection Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T20:10:03.735837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c08396-c250-4719-a0bf-364f090ce361 · inbound

Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification cites this paper.

Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T16:36:31.865424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5cdfbd1-3f58-411b-bc8e-1ad55a989bca · inbound

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation cites this paper.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:03.141156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb302bcf-e754-4588-abe0-4a6890993788 · inbound

Axial-Centric Cross-Plane Attention for 3D Medical Image Classification cites this paper.

Axial-Centric Cross-Plane Attention for 3D Medical Image Classification Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T21:01:16.985436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07660a80-2185-4932-add3-99c6f65441fd · inbound

Self-supervised Pretraining of Cell Segmentation Models cites this paper.

Self-supervised Pretraining of Cell Segmentation Models Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:07.764377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7eeb6b06-fab6-4a30-95ad-f86ea6ffd847 · inbound

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems cites this paper.

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:46:09.568229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddee8f37-1800-48d9-867d-f2a44be60ae7 · inbound

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction? cites this paper.

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction? Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:11.333991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94f2986d-6c6c-4b5b-9526-0745efb1620a · inbound

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence cites this paper.

VoxCor: Training-Free Volumetric Features for Multimodal Voxel Correspondence Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:37:52.151122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56aefe79-6a2c-49d5-b09c-7d2a1d8e23f2 · inbound

Capability $\neq$ Interpretability: Human Interpretability of Vision Foundation Models cites this paper.

Capability $\neq$ Interpretability: Human Interpretability of Vision Foundation Models Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:39:49.187322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b856f633-f9d9-4280-8c2a-ffebff96d0a7 · inbound

DALE-CT: Depth-Aware Foundation Models for Computed Tomography cites this paper.

DALE-CT: Depth-Aware Foundation Models for Computed Tomography Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:27:15.449378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c04b04f7-36c6-4c2e-a1eb-edbf2858bf44 · inbound

Recover Semantics First, Generate Better: Improved Latent Modeling for 3D MRI Reconstruction and Cross-Contrast Synthesis cites this paper.

Recover Semantics First, Generate Better: Improved Latent Modeling for 3D MRI Reconstruction and Cross-Contrast Synthesis Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:58:57.511095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bc09d0e-a85f-4a0e-80fd-d6f00fddf4f4 · inbound

In-Context Learning for Wound Classification with Small Multimodal Language Models cites this paper.

In-Context Learning for Wound Classification with Small Multimodal Language Models Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T14:15:56.419208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.