Paper Citation Record · LEDGER

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.13964.

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

pith.paper-citation-record.v1
2506.13964 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:28:37.027120Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa4f7922-c304-4c41-bfe8-6c845757ba21 · outbound

This paper cites Machine Learning-Based Approaches for Breast Density Estima- tion from Mammograms: A Comprehensive Review.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Machine Learning-Based Approaches for Breast Density Estima- tion from Mammograms: A Comprehensive Review

Reference 1

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Observation 2614d158-8c35-4e2b-9508-9eeb8e4e59d8 · outbound

This paper cites American College of Radiol- ogy, 2013.URL: https : / / edge.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography American College of Radiol- ogy, 2013.URL: https : / / edge

Reference 2

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Observation 63c2a807-daa9-43b8-a7fc-4ac4fce667f4 · outbound

This paper cites Automatic breast density classifi- cation using neural network.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Automatic breast density classifi- cation using neural network

Reference 3

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This paper cites PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?

Reference 4

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This paper cites an unresolved cited work.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Unresolved cited work

Reference 5

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Observation 0dd3b65c-568e-46a7-a568-f3c5d78659fa · outbound

This paper cites Automatic Quantification of Breast Density from Mammography Using Deep Learning.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Automatic Quantification of Breast Density from Mammography Using Deep Learning

Reference 6

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Observation 20a9f232-8cf8-4a04-b585-ffc527da7bde · outbound

This paper cites Automated breast density assessment for full-field digital mammography and digital breast to- mosynthesis.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Automated breast density assessment for full-field digital mammography and digital breast to- mosynthesis

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T00:28:37.469115Z

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Observation 742c2bf8-1f88-4509-9dd5-1291c80b02f4 · outbound

This paper cites KPL: Training-Free Medical Knowledge Mining of Vision-Language Models.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography KPL: Training-Free Medical Knowledge Mining of Vision-Language Models

Reference 8

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Observation 6d87b6c0-6800-4d39-b1c9-10a92d3a2a24 · outbound

This paper cites A ConvNet for the 2020s.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography A ConvNet for the 2020s

Reference 9

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Observation 09d364b8-38ec-4af6-b451-a56ab70b8346 · outbound

This paper cites Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis

Reference 10

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Observation 81963e72-6fd0-4f5c-962a-af528424c43d · outbound

This paper cites Enhancing di- agnostic accuracy in breast cancer: integrating novel machine learning approaches with enhanced image pre- processing for improved mammography analysis.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Enhancing di- agnostic accuracy in breast cancer: integrating novel machine learning approaches with enhanced image pre- processing for improved mammography analysis

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T00:28:37.261291Z

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Observation 7cb145e0-fb67-4b51-9d89-77d58aeb7851 · outbound

This paper cites Automated Radi- ology Report Generation Using Radiomics and Natural Language Processing Techniques.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Automated Radi- ology Report Generation Using Radiomics and Natural Language Processing Techniques

Reference 12

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Observation 06257f73-aba3-4013-9de6-13305c0de515 · outbound

This paper cites Microscopic Hematological Image Classifica- tion with Captions Using Few-Shot Learning in Data- Scarce Environments.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Microscopic Hematological Image Classifica- tion with Captions Using Few-Shot Learning in Data- Scarce Environments

Reference 13

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Observation af03f5d6-82ed-403e-b0c7-6db59e5078fa · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Learning Transferable Visual Models From Natural Language Supervision

Reference 14

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Observation 5b5ad307-3f73-4305-87cd-3755189f0437 · outbound

This paper cites Named Entity Recognition in Mammography Radiology Reports us- ing a Multilingual Transfer Learning Approach.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Named Entity Recognition in Mammography Radiology Reports us- ing a Multilingual Transfer Learning Approach

Reference 15

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Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Unresolved cited work

Reference 16

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Observation 7a92ea58-14b9-4dfa-ba24-9a75140e2993 · outbound

This paper cites Transformers in medical imag- ing: A survey.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Transformers in medical imag- ing: A survey

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:28:39.094613Z

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Observation b35f810e-ec2f-486d-b176-8b4ba5cb7942 · outbound

This paper cites BioCLIP: A Vision Foundation Model for the Tree of Life.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography BioCLIP: A Vision Foundation Model for the Tree of Life

Reference 18

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Observation 86dac019-60b4-49ab-94d9-2628db36c871 · outbound

This paper cites ConvNext: A Contemporary Archi- tecture for Convolutional Neural Networks for Image Classification.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography ConvNext: A Contemporary Archi- tecture for Convolutional Neural Networks for Image Classification

Reference 19

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Observation f5fb8812-05e2-4e29-a4ee-d1b717509980 · outbound

This paper cites An Image Classification Method Based on Self-attention Con- vNeXt.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography An Image Classification Method Based on Self-attention Con- vNeXt

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:28:38.855706Z

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Observation 1b31425e-b9d7-482a-9fba-36b3a202b5de · outbound

This paper cites an unresolved cited work.

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography Unresolved cited work

Reference 21

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Pith citing papers

No inbound Pith citation observations are available.