Paper Citation Record · LEDGER

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2501.10733.

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

pith.paper-citation-record.v1
2501.10733 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:06:04.232222Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f8f4308-6142-4928-a5f6-8c808da07a8d · outbound

This paper cites write newline.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction write newline

Reference 1

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Source-reported events for the cited work

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Observation feff641b-2ead-4b9c-9728-cf646797d435 · outbound

This paper cites Emerging Properties in Self-Supervised Vision Transformers.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Emerging Properties in Self-Supervised Vision Transformers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:04.067135Z

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Observation bb4765df-d409-4c24-adb4-d877c06f39d5 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction A Simple Framework for Contrastive Learning of Visual Representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:04.072718Z

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Observation 354273d1-5be2-4f1d-aba1-0d1f0f3688f7 · outbound

This paper cites , author Arefan, D.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Arefan, D

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T19:06:04.899326Z

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Observation 5d10f481-0dc5-465f-82ef-9186acd85dcd · outbound

This paper cites , author Ren, T.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Ren, T

Reference 5

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.447123Z

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Observation af85d8ec-a5d6-4afb-aa07-c9e3d06d0295 · outbound

This paper cites Are Large-scale Datasets Necessary for Self-Supervised Pre-training?.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Are Large-scale Datasets Necessary for Self-Supervised Pre-training?

Reference 6

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Observation 51e74c94-a3e7-44eb-a100-42316c8d5729 · outbound

This paper cites , author Ghodrati, V.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Ghodrati, V

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T19:06:05.083657Z

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Observation 9363cdbe-4cc7-4edf-ae3d-42d388de22db · outbound

This paper cites , author Beckmann, C.F.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Beckmann, C.F

Reference 8

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Observation a7ed3d44-4ff4-4ce3-bd6e-6c6b9b7e97f3 · outbound

This paper cites , author Zohren, S.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Zohren, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:06:05.048501Z

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Observation c71f64b5-353b-49f4-86aa-332fd1fa31d8 · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Bootstrap your own latent: A new approach to self-supervised Learning

Reference 10

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Observation bd360c02-cab2-4dc5-a5d9-2db22d3779bd · outbound

This paper cites , author Pareek, A.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Pareek, A

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:04.116593Z

Source-reported events for the cited work

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Observation 7aeca98b-fce7-4d72-8f29-3948f24fc813 · outbound

This paper cites , author Kadir, T.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Kadir, T

Reference 12

Resolution: verified exact; doi, observed 2026-08-10T19:06:05.030313Z

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Observation abb78170-d2d7-4eee-a263-8ff211112e22 · outbound

This paper cites , author Yu, H.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Yu, H

Reference 13

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.398454Z

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Observation a51d23f9-0b2c-4b20-ac60-bceba37e1b3c · outbound

This paper cites , author Yu, H.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Yu, H

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:06:05.012023Z

Source-reported events for the cited work

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Observation ea3d9052-b32b-4521-ad26-88a84d93dfe9 · outbound

This paper cites Improving Medical Multi-modal Contrastive Learning with Expert Annotations.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Improving Medical Multi-modal Contrastive Learning with Expert Annotations

Reference 15

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Observation a7ee4e5d-ef61-4439-ad21-9a10cde09129 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 16

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Observation 48700775-ebec-4854-b070-777cc4b3a8e0 · outbound

This paper cites , author Hu, Y.c.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Hu, Y.c

Reference 17

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.381916Z

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Observation 36953d3b-ef45-4994-896c-7a7c87e42895 · outbound

This paper cites , author Chen, S.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Chen, S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:06:04.994119Z

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Observation 657e7e0d-c32a-4efe-bd54-f9c02a317ccd · outbound

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A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction A ConvNet for the 2020s

Reference 19

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Observation 9509b735-d678-4899-b885-cf40e441018d · outbound

This paper cites Decoupled Weight Decay Regularization.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Decoupled Weight Decay Regularization

Reference 20

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Observation 24ea747d-6f72-4dd2-824a-800e1cbb36ed · outbound

This paper cites , author Dercle, L.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Dercle, L

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.346662Z

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Observation e3b7a9e2-3d16-49e5-8650-53603e63aa53 · outbound

This paper cites , author Mehta, A.S.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Mehta, A.S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:06:04.976212Z

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Observation 040a6f59-8c4d-4cbe-a0b0-51a8691842b8 · outbound

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A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Wang, J

Reference 23

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Observation a06db5f8-e65b-4c5f-afcc-a236e02d1c83 · outbound

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A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Schmidt-Erfurth, U

Reference 24

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Observation a864ecec-fdd3-409a-8eee-176eae36741c · outbound

This paper cites Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Reference 25

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Source-reported events for the cited work

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Observation 8da8091a-397a-40e6-aac3-b55528b0a1ec · outbound

This paper cites Attention Is All You Need.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Attention Is All You Need

Reference 26

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This paper cites , author Alam, S.R.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Alam, S.R

Reference 27

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.313244Z

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Observation 4c803509-bc85-4fae-941f-a6064ac970ea · outbound

This paper cites , author Rimner, A.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Rimner, A

Reference 28

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.296896Z

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Observation bfb5630e-483f-44b8-8df5-fc321cabcf19 · outbound

This paper cites On Layer Normalization in the Transformer Architecture.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction On Layer Normalization in the Transformer Architecture

Reference 29

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Observation b0b0835b-a16f-4917-a01b-1cc0be08f58b · outbound

This paper cites , author Hosny, A.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Hosny, A

Reference 30

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.276868Z

Source-reported events for the cited work

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Observation 7ddd4568-7e8e-4437-a250-c179be6b098b · outbound

This paper cites Positional Contrastive Learning for Volumetric Medical Image Segmentation.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Positional Contrastive Learning for Volumetric Medical Image Segmentation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:06:04.497122Z

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Observation 8d3f9089-0ec5-411c-bde8-6af68a859e07 · outbound

This paper cites Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:06:04.473554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4c1cda1c-3683-4205-a346-217376701707 · outbound

This paper cites , author Hu, C.

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction , author Hu, C

Reference 33

Resolution: verified exact; doi, observed 2026-08-10T19:06:04.959245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.