Paper Citation Record · LEDGER

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

As of 4 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2603.20452.

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

pith.paper-citation-record.v1
2603.20452 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T21:33:30.839918Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 22fea1f8-b177-4b60-a4c3-44070f9a90d0 · outbound

This paper cites Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

Source-reported events for the cited work

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Observation 65dc053e-cce7-4023-9afe-58eed497c2fd · outbound

This paper cites What we can do and what we cannot do with fMRI.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease What we can do and what we cannot do with fMRI

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation b1150032-9da7-4bab-9506-b14a0f0ae41f · outbound

This paper cites Overview of fMRI analysis.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Overview of fMRI analysis

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 8feeb48a-51a0-4945-8381-e6bb247aa53a · outbound

This paper cites Graph neural networks in network neuroscience.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Graph neural networks in network neuroscience

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation d5407772-93d2-4512-8277-5fade8734162 · outbound

This paper cites fMRI-based brain disease diagnosis: A graph network approach.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease fMRI-based brain disease diagnosis: A graph network approach

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation c51b5605-e698-4bb4-af3f-dec24492d56f · outbound

This paper cites Beyond the snapshot: Brain tokenized graph transformer for longitudinal brain functional connectome embedding.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Beyond the snapshot: Brain tokenized graph transformer for longitudinal brain functional connectome embedding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 2cddab44-c04d-4a08-a4bb-487420d490bd · outbound

This paper cites Brainode: Dynamic brain signal analysis via graph- aided neural ordinary differential equations.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Brainode: Dynamic brain signal analysis via graph- aided neural ordinary differential equations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 6e70b7d2-0757-4fb1-bbd9-31ed28a61e07 · outbound

This paper cites Uncovering alzheimer’s disease progression via SDE- based spatio-temporal graph deep learning on longitudinal brain networks.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Uncovering alzheimer’s disease progression via SDE- based spatio-temporal graph deep learning on longitudinal brain networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 016d0cbc-7295-4123-9cf9-c1afd9e53458 · outbound

This paper cites Modelling functional brain aging in Alzheimer’s disease using neural ODEs on rsfMRI graphs.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Modelling functional brain aging in Alzheimer’s disease using neural ODEs on rsfMRI graphs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

Source-reported events for the cited work

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Observation ee6c0ff6-74a0-4016-96f6-3c8458f3ec27 · outbound

This paper cites Dynamic weighted hypergraph convolutional network for brain functional connectome analysis.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Dynamic weighted hypergraph convolutional network for brain functional connectome analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation fa9bbf2e-554a-4598-8058-e7ffd3bc61f8 · outbound

This paper cites Hypergale: Asd classification via hypergraph gated attention with learnable hyperedges.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Hypergale: Asd classification via hypergraph gated attention with learnable hyperedges

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 99b4deff-76a6-4d5e-b329-94306082710f · outbound

This paper cites Hypergraph-based semantic and topological self-supervised learning for brain disease diag- nosis.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Hypergraph-based semantic and topological self-supervised learning for brain disease diag- nosis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 8d595c89-9ff4-4a9d-b474-5f442415d8ac · outbound

This paper cites Hypergraph convolutional network for longitudinal data analysis in Alzheimer’s disease.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Hypergraph convolutional network for longitudinal data analysis in Alzheimer’s disease

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 82700e81-cf4e-40cc-ad26-8b4cf430a98f · outbound

This paper cites GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 71f7cf5c-4b46-4f26-879d-9e6bda140d4f · outbound

This paper cites Gnnexplainer: Generating explanations for graph neural networks.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Gnnexplainer: Generating explanations for graph neural networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 25c81e57-e68a-422c-85de-2c84eb95afe3 · outbound

This paper cites Open access series of imaging studies: longitu- dinal MRI data in nondemented and demented older adults.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Open access series of imaging studies: longitu- dinal MRI data in nondemented and demented older adults

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

Source-reported events for the cited work

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Observation 80899708-f190-47a5-a8ef-4456268f0eb0 · outbound

This paper cites The Alzheimer’s disease neuroimaging initiative.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease The Alzheimer’s disease neuroimaging initiative

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation b20a6b45-3397-440a-9670-8950ccc20177 · outbound

This paper cites fMRIPrep: a robust preprocessing pipeline for functional MRI.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease fMRIPrep: a robust preprocessing pipeline for functional MRI

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation b83332dd-be92-4afb-bda0-91f0f1b9624a · outbound

This paper cites ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 03f84f2c-d6aa-4ce2-9470-fec1a01497fa · outbound

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

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation ed1907b8-4339-4b01-9e42-fe4fd59480e1 · outbound

This paper cites A dynamic graph convolutional neural network frame- work reveals new insights into connectome dysfunctions in ADHD.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease A dynamic graph convolutional neural network frame- work reveals new insights into connectome dysfunctions in ADHD

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 8450e0d6-5a6e-4135-8187-5ce8d40fa46c · outbound

This paper cites Atrophy in the parahippocampal gyrus as an early biomarker of Alzheimer’s disease.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Atrophy in the parahippocampal gyrus as an early biomarker of Alzheimer’s disease

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 0a8b1185-8347-4489-8806-14dac1b677be · outbound

This paper cites The parahippocampal gyrus in Alzheimer’s disease: clinical and preclinical neuroanatomical correlates.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease The parahippocampal gyrus in Alzheimer’s disease: clinical and preclinical neuroanatomical correlates

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Unavailable: canonical work link unavailable.

Observation a05f56e0-1bc7-4acc-9cb2-7bc04e2b4201 · outbound

This paper cites Staging of Alzheimer disease- associated neurofibrillary pathology using paraffin sections and immunocytochemistry.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Staging of Alzheimer disease- associated neurofibrillary pathology using paraffin sections and immunocytochemistry

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Observation 068e8045-f9e1-4fee-b8a7-5757aaba8134 · outbound

This paper cites Four distinct trajectories of tau deposition identified in Alzheimer’s disease.

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease Four distinct trajectories of tau deposition identified in Alzheimer’s disease

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T21:33:30.839918Z

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Pith citing papers

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