Paper Citation Record · LEDGER

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2501.16345.

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

pith.paper-citation-record.v1
2501.16345 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:15:06.444524Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:54:36.478500Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy19
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 1dcc10e1-e82b-4bf6-8687-c638c299704e · outbound

This paper cites Resting-state fMRI: A review of methods and clinical applications,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Resting-state fMRI: A review of methods and clinical applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:07.251414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9b1e6b1-11ac-4af5-a3e3-588aad356bae · outbound

This paper cites Multimodal imaging feature extraction with reference canonical correlation analysis underlying intelligence,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Multimodal imaging feature extraction with reference canonical correlation analysis underlying intelligence,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:07.198652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d507056-5853-4f02-af66-fd734f6b1d82 · outbound

This paper cites Effective training strategy for NN models of working memory classification with limited samples,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Effective training strategy for NN models of working memory classification with limited samples,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:07.169779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40b03ae6-fbd4-4d67-b481-6ae1496d2603 · outbound

This paper cites Replication and refinement of brain age model for adolescent development,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Replication and refinement of brain age model for adolescent development,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:07.139091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b345e726-c734-4a2c-9483-924257c1a1c0 · outbound

This paper cites Dsam: A deep learning framework for analyzing temporal and spatial dynamics in brain networks,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Dsam: A deep learning framework for analyzing temporal and spatial dynamics in brain networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:07.092764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21d2aa9e-a453-4e9b-ab18-9cd6e98f759b · outbound

This paper cites Fluid and flexible minds: Intelligence reflects synchrony in the brain’s intrinsic network architecture,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Fluid and flexible minds: Intelligence reflects synchrony in the brain’s intrinsic network architecture,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:07.039170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 835bfb2c-9e51-4cf2-928c-a5ce4acd34e3 · outbound

This paper cites Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.980004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fff2b7aa-ec54-4314-aa6e-f335fb95c8eb · outbound

This paper cites A distributed brain network predicts general intelligence from resting- state human neuroimaging data,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity A distributed brain network predicts general intelligence from resting- state human neuroimaging data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.916272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58c985f6-b487-4f5b-84be-3f4cda517e68 · outbound

This paper cites Functional connectomics from resting-state fMRI,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Functional connectomics from resting-state fMRI,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.868360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b719072-18de-4a03-88f0-264039a1d1b3 · outbound

This paper cites Graph-based deep learning models in the prediction of early-stage alzheimers,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Graph-based deep learning models in the prediction of early-stage alzheimers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.842756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc59debf-bcbc-40bb-94ca-d460e2c09c90 · outbound

This paper cites BrainGNN: Interpretable brain graph neural network for fMRI analysis,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity BrainGNN: Interpretable brain graph neural network for fMRI analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.818386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9fa8a831-9584-4728-8f5a-91fc1ab5b1c4 · outbound

This paper cites Brain networks and intelligence: A graph neural network based approach to resting state fmri data,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Brain networks and intelligence: A graph neural network based approach to resting state fmri data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.791220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1f6054d2-012e-44a7-a5e0-b07220ba2d24 · outbound

This paper cites NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.745566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5397c769-dfc9-4ed0-9ad8-87f26dbc19fc · outbound

This paper cites A generalization of transformer networks to graphs,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity A generalization of transformer networks to graphs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.704773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a63f5555-b4b9-42ac-9efb-0fa1354f030f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Pytorch: An imperative style, high-performance deep learning library,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.664881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 08c0cb5c-f493-4eb9-b246-96833d2b4c4e · outbound

This paper cites Fast graph representation learning with pytorch geometric,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Fast graph representation learning with pytorch geometric,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.630981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85f953fe-c87a-4782-baa3-78e4488b87ff · outbound

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

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity The organization of the human cerebral cortex estimated by intrinsic functional connectivity,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.596409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fdf2c6ba-a928-4404-8864-2fe8a1e6243c · outbound

This paper cites Adam: A method for stochastic optimization,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Adam: A method for stochastic optimization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.555926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2ae6d7a8-5efa-4928-935d-dca3871d8f8a · outbound

This paper cites Brainnetcnn: Convolutional neural networks for brain networks; towards predicting neurodevelopment,.

Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Brainnetcnn: Convolutional neural networks for brain networks; towards predicting neurodevelopment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:15:06.522706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 9f51d202-3873-45be-8569-bf6e9f2382c2 · inbound

Fast Clustering of Categorical Big Data cites this paper.

Fast Clustering of Categorical Big Data Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:54:36.537411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.