Pith. sign in

Paper Citation Record · LEDGER

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification

As of 8 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2507.21156.

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

pith.paper-citation-record.v1
2507.21156 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:35.182611Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb5b616d-38f7-4b0d-b031-66cc1269714b · outbound

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

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:35:35.278073Z

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.

source=pdf_text observed=2026-08-06T14:35:35.158271Z digest=sha256:95330f8178c58977c07591f303d390b9acc9a2f177330cf74a5f3dcb4f251a94

Observation e76b4d87-826c-4ed2-b950-6e1cc50fe733 · outbound

This paper cites Deep residual learning for image recognition,.

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification Deep residual learning for image recognition,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:35:35.268514Z

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.

source=pdf_text observed=2026-08-06T14:35:35.161922Z digest=sha256:951e589c9be6841e6170f3b953569bd689751b252d3339c03af989fe542bc9ca

Observation c72027e4-d733-41f1-9eb7-6e171558a396 · outbound

This paper cites EfficientNet: Rethinking model scaling for convolu- tional neural networks,.

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification EfficientNet: Rethinking model scaling for convolu- tional neural networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:35:35.259047Z

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.

source=pdf_text observed=2026-08-06T14:35:35.165935Z digest=sha256:108eaf8a48a2efe0cc2f5ac77fc19fccd27b544f82ddf506c1cc6a0a57f9c053

Observation 45d9e4da-d8b4-41c6-9f02-bb2e878e4f60 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification Training data-efficient image transformers & distillation through attention,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:35:35.249524Z

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.

source=pdf_text observed=2026-08-06T14:35:35.169197Z digest=sha256:ce318335f53f51aae01602197da6d5c321f330120751d74d0515f98b1fa76b4f

Observation 3672a3f3-8ff3-4dd0-a83d-950a2c2ce2ad · outbound

This paper cites CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning.

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:35.172513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:35.172513Z digest=sha256:9e2ce03ef359eb453a92cdeb83726ce6c0e0ec623f58b6c11ec043b2c868dad0

Observation 3ac7279c-4cd9-47b6-8cd4-373d65594893 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks,.

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification Dermatologist-level classification of skin cancer with deep neural networks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:35:35.239335Z

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.

source=pdf_text observed=2026-08-06T14:35:35.176350Z digest=sha256:2265b8e0ff8a4172ac9cd794219a16bda38c06ca371f2cd408e8934a1c822975

Observation 966bfda8-a785-4dc9-b7f6-31ef331294b5 · outbound

This paper cites Self-supervised learning for medical image analysis using image context restoration,.

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification Self-supervised learning for medical image analysis using image context restoration,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:35:35.229496Z

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.

source=pdf_text observed=2026-08-06T14:35:35.179618Z digest=sha256:01f370628d846137e186f094432f4df0c1313fe1f180fca949667fa19aeeee20

Observation ada758b0-85a0-4734-8aaf-acdc50cd7686 · outbound

This paper cites Is it Time to Replace CNNs with Transformers for Medical Images?.

Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification Is it Time to Replace CNNs with Transformers for Medical Images?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:35.182611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:35.182611Z digest=sha256:09bd7676464858412fdce43f265e4c73a4b66621fa677e783f4f994d618a7a9d

Pith citing papers

No inbound Pith citation observations are available.