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Paper Citation Record · LEDGER

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection

As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.16039.

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

pith.paper-citation-record.v1
2505.16039 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:55.632407Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved7
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 053dd002-7c5e-43d4-b1b4-4700cf459cc3 · outbound

This paper cites an unresolved cited work.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 132134c7-d076-400d-a181-12043d3d3f1c · outbound

This paper cites PhD thesis, tilburg university.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection PhD thesis, tilburg university

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3bd43876-7903-43b8-91f8-e2d869d3ec0e · outbound

This paper cites Combining the transformer and convolution for effective brain tumor classification using mri images.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Combining the transformer and convolution for effective brain tumor classification using mri images

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:57.281448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8fb8316b-117b-43a6-b7a6-c9a1639e533a · outbound

This paper cites Enhancing brain tumor detection in mri with a rotation invariant vision transformer.Frontiers in Neuroinformatics, 18:1414925, 2024.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Enhancing brain tumor detection in mri with a rotation invariant vision transformer.Frontiers in Neuroinformatics, 18:1414925, 2024

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b84fd8a4-833e-427b-ac6e-da6f8ff670a4 · outbound

This paper cites Explainability of deep neural networks for mri analysis of brain tumors.International journal of computer assisted radiology and surgery, 17(9):1673–1683, 2022.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Explainability of deep neural networks for mri analysis of brain tumors.International journal of computer assisted radiology and surgery, 17(9):1673–1683, 2022

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:56.922110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3b8c6b6c-9c41-4e11-9796-f30a6e18c798 · outbound

This paper cites Deep learning-based model with xai for brain tumor classification and segmentation using mri images.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Deep learning-based model with xai for brain tumor classification and segmentation using mri images

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f4ede011-2918-4afd-ad73-5eaabd4125fd · outbound

This paper cites Exploring alzheimer’s disease prediction with xai in various neural network models.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Exploring alzheimer’s disease prediction with xai in various neural network models

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:56.580296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:10:54.930841Z digest=sha256:b1ac54018ce4d512edcc319be85a59646d06d1093d8c5fc2264619c06f60f328

Observation 3fb138e1-3b52-43c1-99eb-e5f6f4f1bf44 · outbound

This paper cites An explainable ai paradigm for alzheimer’s diagnosis using deep transfer learning.Diagnostics, 14(3):345, 2024.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection An explainable ai paradigm for alzheimer’s diagnosis using deep transfer learning.Diagnostics, 14(3):345, 2024

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:56.412515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:10:54.998867Z digest=sha256:547091f72cf00874573b1b367ac468b5566372344e390862705e09b6d90e2bea

Observation 4c225574-fe01-48e5-a4ce-d78a6183964f · outbound

This paper cites Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification

Reference 9

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verified exact
local_arxiv, observed 2026-08-07T15:10:55.770087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7a0dd800-f840-4998-b21b-a6902f7ac65a · outbound

This paper cites Brain mri dataset.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Brain mri dataset

Reference 10

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no resolver link, observed 2026-08-07T15:10:55.098301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f66f127-3a30-4d42-94b8-b5cfb94154bd · outbound

This paper cites Smote: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Smote: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:56.303428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 86963fc6-814a-484f-baf6-d5b0dc401d9d · outbound

This paper cites A study of cnn and transfer learning in medical imaging: Advantages, challenges, future scope.Sustainability, 15(7):5930, 2023.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection A study of cnn and transfer learning in medical imaging: Advantages, challenges, future scope.Sustainability, 15(7):5930, 2023

Reference 12

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 19bf421c-b270-4d82-8c78-4bd53ee8c512 · outbound

This paper cites Classification of brain tumor from magnetic resonance imaging using vision transformers ensembling.Current Oncology, 29(10):7498–7511, 2022.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Classification of brain tumor from magnetic resonance imaging using vision transformers ensembling.Current Oncology, 29(10):7498–7511, 2022

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:56.117997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 955ca98e-3bed-43a3-99cc-52d73c49a125 · outbound

This paper cites Keras.https://keras.io, 2015.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Keras.https://keras.io, 2015

Reference 14

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no resolver link, observed 2026-08-07T15:10:55.311133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3109d9e9-9db1-4c30-b5c9-7f4954f66a62 · outbound

This paper cites an unresolved cited work.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-07T15:10:55.387295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab0744c0-e800-4c63-a0a0-aedeb2d94d7d · outbound

This paper cites Multi-class brain lesion classification using deep transfer learning with mobilenetv3.IEEE Access, 2024.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Multi-class brain lesion classification using deep transfer learning with mobilenetv3.IEEE Access, 2024

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation caf8d5f7-12fa-4b07-a991-7c1be8dee0b8 · outbound

This paper cites A deep learning-based bengali visual question answering system.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection A deep learning-based bengali visual question answering system

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78d32d7f-0a73-4521-b37e-219122d321a1 · outbound

This paper cites Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images

Reference 18

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no resolver link, observed 2026-08-07T15:10:55.579346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6a4275a-5db3-4856-ad59-afd10127ceb2 · outbound

This paper cites Explainability and evaluation of vision transformers: An in-depth experimental study.Electronics, 13(1):175, 2023.

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection Explainability and evaluation of vision transformers: An in-depth experimental study.Electronics, 13(1):175, 2023

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-07T15:10:55.864428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.