Paper Citation Record · LEDGER

Voxel-Level Brain States Prediction Using Swin Transformer

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.11455.

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

pith.paper-citation-record.v1
2506.11455 v1

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Pith citing papers itemized under the disclosed page cap.

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Source: arxiv_reference, observed 2026-07-03T08:07:45.340618Z

Reference resolution

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External citation measurements

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Outbound references

Observation b58d7e7b-1cd4-4cc8-81a9-6ad485aeb221 · outbound

This paper cites Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function,.

Voxel-Level Brain States Prediction Using Swin Transformer Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function,

Reference 1

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Observation b2aed174-92d1-48eb-9dbf-9512e13fe567 · outbound

This paper cites Unveiling complex brain dynamics during movie viewing via deep recurrent autoencoder model,.

Voxel-Level Brain States Prediction Using Swin Transformer Unveiling complex brain dynamics during movie viewing via deep recurrent autoencoder model,

Reference 2

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Observation fe6395ae-ad60-4f42-b782-49bf74af0bfd · outbound

This paper cites Modeling spatio -temporal patterns of holistic functional brain networks via multi -head guided attention graph neural networks (Multi-Head GAGNNs),.

Voxel-Level Brain States Prediction Using Swin Transformer Modeling spatio -temporal patterns of holistic functional brain networks via multi -head guided attention graph neural networks (Multi-Head GAGNNs),

Reference 3

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Observation 23bc6416-d408-406f-9e39-cafe0bf24539 · outbound

This paper cites Characterization of task-free and task-performance brain states via functional connectome patterns,.

Voxel-Level Brain States Prediction Using Swin Transformer Characterization of task-free and task-performance brain states via functional connectome patterns,

Reference 4

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Observation b0658156-8c4e-46b1-8f1c-0caba047f4e3 · outbound

This paper cites Effective connectivity of the anterior hippocampus predicts recollection confidence during natural memory retrieval,.

Voxel-Level Brain States Prediction Using Swin Transformer Effective connectivity of the anterior hippocampus predicts recollection confidence during natural memory retrieval,

Reference 5

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Observation 510e1d31-3f19-41a0-9fcb-3d6973bb7d00 · outbound

This paper cites Spatiotemporal attention autoencoder (STAAE) for ADHD classification,.

Voxel-Level Brain States Prediction Using Swin Transformer Spatiotemporal attention autoencoder (STAAE) for ADHD classification,

Reference 6

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This paper cites Connectome -scale group -wise consistent resting -state network analysis in autism spectrum disorder,.

Voxel-Level Brain States Prediction Using Swin Transformer Connectome -scale group -wise consistent resting -state network analysis in autism spectrum disorder,

Reference 7

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Observation 6c96a564-fd23-4a6d-b531-8e93a5137c1e · outbound

This paper cites Assessing effects of prenatal alcohol exposure using group - wise sparse representation of fMRI data,.

Voxel-Level Brain States Prediction Using Swin Transformer Assessing effects of prenatal alcohol exposure using group - wise sparse representation of fMRI data,

Reference 8

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Observation 09dcc588-8940-497b-9b48-0207f37dfb2d · outbound

This paper cites Brain magnetic resonance imaging with contrast dependent on blood oxygenation,.

Voxel-Level Brain States Prediction Using Swin Transformer Brain magnetic resonance imaging with contrast dependent on blood oxygenation,

Reference 9

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Observation 885f5ac5-95fe-440f-a388-7f2a4ae6202d · outbound

This paper cites Sparse representation of whole -brain fMRI signals for identification of functional networks,.

Voxel-Level Brain States Prediction Using Swin Transformer Sparse representation of whole -brain fMRI signals for identification of functional networks,

Reference 10

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Observation 8f4436ac-88b8-43d3-94a4-216d3ff0dbc8 · outbound

This paper cites Latent source mining in FMRI via restricted Boltzmann machine,.

Voxel-Level Brain States Prediction Using Swin Transformer Latent source mining in FMRI via restricted Boltzmann machine,

Reference 11

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This paper cites Modeling hierarchical brain networks via volumetric sparse deep belief network,.

Voxel-Level Brain States Prediction Using Swin Transformer Modeling hierarchical brain networks via volumetric sparse deep belief network,

Reference 12

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This paper cites Spatio -temporal modeling of connectome -scale brain network interactions via time-evolving graphs,.

Voxel-Level Brain States Prediction Using Swin Transformer Spatio -temporal modeling of connectome -scale brain network interactions via time-evolving graphs,

Reference 13

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Observation d8c31698-af39-4d2a-b990-a9e2c9b3c8a8 · outbound

This paper cites An explainable deep learning framework for characterizing and interpreting human brain states,.

Voxel-Level Brain States Prediction Using Swin Transformer An explainable deep learning framework for characterizing and interpreting human brain states,

Reference 14

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This paper cites A brain -computer interface that evokes tactile sensations improves robotic arm control,.

Voxel-Level Brain States Prediction Using Swin Transformer A brain -computer interface that evokes tactile sensations improves robotic arm control,

Reference 15

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This paper cites Attention is all you need,.

Voxel-Level Brain States Prediction Using Swin Transformer Attention is all you need,

Reference 16

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This paper cites GPT-4 Technical Report.

Voxel-Level Brain States Prediction Using Swin Transformer GPT-4 Technical Report

Reference 17

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This paper cites SwiFT: Swin 4D fMRI Transformer,.

Voxel-Level Brain States Prediction Using Swin Transformer SwiFT: Swin 4D fMRI Transformer,

Reference 18

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This paper cites BrainLM: A foundation model for brain activity recordings,.

Voxel-Level Brain States Prediction Using Swin Transformer BrainLM: A foundation model for brain activity recordings,

Reference 19

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This paper cites Brain -jepa: Brain dynamics foundation model with gradient positioning and spatiotemporal masking,.

Voxel-Level Brain States Prediction Using Swin Transformer Brain -jepa: Brain dynamics foundation model with gradient positioning and spatiotemporal masking,

Reference 20

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This paper cites Predicting Human Brain States with Transformer,.

Voxel-Level Brain States Prediction Using Swin Transformer Predicting Human Brain States with Transformer,

Reference 21

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Voxel-Level Brain States Prediction Using Swin Transformer Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 22

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Voxel-Level Brain States Prediction Using Swin Transformer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 23

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This paper cites The WU -Minn human connectome project: an overview,.

Voxel-Level Brain States Prediction Using Swin Transformer The WU -Minn human connectome project: an overview,

Reference 24

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This paper cites The minimal preprocessing pipelines for the Human Connectome Project,.

Voxel-Level Brain States Prediction Using Swin Transformer The minimal preprocessing pipelines for the Human Connectome Project,

Reference 25

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Voxel-Level Brain States Prediction Using Swin Transformer U-net: Convolutional networks for biomedical image segmentation,

Reference 26

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This paper cites Image quality assessment: from error visibility to structural similarity,.

Voxel-Level Brain States Prediction Using Swin Transformer Image quality assessment: from error visibility to structural similarity,

Reference 27

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This paper cites Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI,.

Voxel-Level Brain States Prediction Using Swin Transformer Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI,

Reference 28

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This paper cites The organization of the human cerebral cortex estimated by intrinsic functional connectivity,.

Voxel-Level Brain States Prediction Using Swin Transformer The organization of the human cerebral cortex estimated by intrinsic functional connectivity,

Reference 29

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Voxel-Level Brain States Prediction Using Swin Transformer Markov chain and its applications,

Reference 30

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This paper cites Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches,.

Voxel-Level Brain States Prediction Using Swin Transformer Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches,

Reference 31

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This paper cites The functional role of the inferior parietal lobe in the dorsal and ventral stream dichotomy,.

Voxel-Level Brain States Prediction Using Swin Transformer The functional role of the inferior parietal lobe in the dorsal and ventral stream dichotomy,

Reference 32

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This paper cites Role of the intraparietal sulcus (IPS) in anxiety and cognition: Opportunities for intervention for anxiety -related disorders,.

Voxel-Level Brain States Prediction Using Swin Transformer Role of the intraparietal sulcus (IPS) in anxiety and cognition: Opportunities for intervention for anxiety -related disorders,

Reference 33

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This paper cites Neuroanatomy, postcentral gyrus,.

Voxel-Level Brain States Prediction Using Swin Transformer Neuroanatomy, postcentral gyrus,

Reference 34

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Voxel-Level Brain States Prediction Using Swin Transformer Investigating the sub -regions of the superior parietal cortex using functional magnetic resonance imaging connectivity,

Reference 35

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This paper cites Association between functional connectivity hubs and brain networks,.

Voxel-Level Brain States Prediction Using Swin Transformer Association between functional connectivity hubs and brain networks,

Reference 36

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This paper cites Inhibition of the inferior parietal lobe triggers state - dependent network adaptations,.

Voxel-Level Brain States Prediction Using Swin Transformer Inhibition of the inferior parietal lobe triggers state - dependent network adaptations,

Reference 37

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This paper cites Structural and functional integrity of the intraparietal sulcus in moderate and severe traumatic brain injury,.

Voxel-Level Brain States Prediction Using Swin Transformer Structural and functional integrity of the intraparietal sulcus in moderate and severe traumatic brain injury,

Reference 38

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Voxel-Level Brain States Prediction Using Swin Transformer Unresolved cited work

Reference 39

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This paper cites Low -frequency fluctuations of the resting brain: high magnitude does not equal high reliability,.

Voxel-Level Brain States Prediction Using Swin Transformer Low -frequency fluctuations of the resting brain: high magnitude does not equal high reliability,

Reference 40

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This paper cites The functions of the orbitofrontal cortex,.

Voxel-Level Brain States Prediction Using Swin Transformer The functions of the orbitofrontal cortex,

Reference 41

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This paper cites The temporal pole: From anatomy to function—A literature appraisal,.

Voxel-Level Brain States Prediction Using Swin Transformer The temporal pole: From anatomy to function—A literature appraisal,

Reference 42

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This paper cites The parahippocampal cortex mediates contextual associative memory: Evidence from an fMRI study,.

Voxel-Level Brain States Prediction Using Swin Transformer The parahippocampal cortex mediates contextual associative memory: Evidence from an fMRI study,

Reference 43

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This paper cites Brain dynamics: the temporal variability of connectivity, and differences in schizophrenia and ADHD,.

Voxel-Level Brain States Prediction Using Swin Transformer Brain dynamics: the temporal variability of connectivity, and differences in schizophrenia and ADHD,

Reference 44

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This paper cites The junction between self and other? Temporo -parietal dysfunction in neuropsychiatry,.

Voxel-Level Brain States Prediction Using Swin Transformer The junction between self and other? Temporo -parietal dysfunction in neuropsychiatry,

Reference 45

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Voxel-Level Brain States Prediction Using Swin Transformer The insular cortex,

Reference 46

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This paper cites Chapter 16 - Brain Processing of Gastrointestinal Sensory Signaling,.

Voxel-Level Brain States Prediction Using Swin Transformer Chapter 16 - Brain Processing of Gastrointestinal Sensory Signaling,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:11:19.922266Z

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This paper cites Mapping the orbitofrontal cortex using temporal fluctuations in cerebral blood flow,.

Voxel-Level Brain States Prediction Using Swin Transformer Mapping the orbitofrontal cortex using temporal fluctuations in cerebral blood flow,

Reference 48

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This paper cites The function of the left anterior temporal pole: evidence from acute stroke and infarct volume,.

Voxel-Level Brain States Prediction Using Swin Transformer The function of the left anterior temporal pole: evidence from acute stroke and infarct volume,

Reference 49

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Observation 5870e94f-8217-47c2-bd0b-feb7fb3c5c5e · outbound

This paper cites Engagement of the medial temporal lobe in verbal and nonverbal memory: assessment with functional MR imaging in healthy subjects,.

Voxel-Level Brain States Prediction Using Swin Transformer Engagement of the medial temporal lobe in verbal and nonverbal memory: assessment with functional MR imaging in healthy subjects,

Reference 50

Resolution: verified exact; doi, observed 2026-08-07T04:11:19.052048Z

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Pith citing papers

Observation 8f74c14d-6646-4566-8771-85378a2e9bd2 · inbound

FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI cites this paper.

FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI Voxel-Level Brain States Prediction Using Swin Transformer

Reference 26

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