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Paper Citation Record · LEDGER

Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.07595.

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

pith.paper-citation-record.v1
2402.07595 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:56:33.934118Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T15:59:47.560658Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 043235c2-71bc-4d68-bd3b-16ba6982e1d6 · inbound

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2 cites this paper.

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2 Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T13:56:33.934118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:56:33.934118Z digest=sha256:a65485eb7f3ba2a2c6604d141708f414002c82e7b8f16a43ac2ffbc7b0071c2d

Observation 9202ff5b-bc34-4ac1-9b01-6577b7315c73 · 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? Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-08T15:59:47.566528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-08T15:59:47.449692Z digest=sha256:d645e49f4fa3cdb525a7d3ce9ebeb69944b1172253578422dfb533d16a11d156