Paper Citation Record · LEDGER

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 2 inbound Pith citation observations for arXiv:2501.16346.

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

pith.paper-citation-record.v1
2501.16346 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:05:23.878478Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:05:23.767521Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:43:09.717874Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy21
unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3aeec81f-1de6-4868-b88e-80ded8df57e7 · outbound

This paper cites Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection

Reference 1

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Source-reported events for the cited work

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Observation 208e51f2-016b-4cf9-9863-e5dd89d18c3a · outbound

This paper cites FC captures the synchronicity of be- havioral patterns across different regions of the brain at rest, revealing the functional architecture.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection FC captures the synchronicity of be- havioral patterns across different regions of the brain at rest, revealing the functional architecture

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.359192Z

Source-reported events for the cited work

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Observation 94b2db34-cd6d-482f-833b-6031c477a781 · outbound

This paper cites shrink” operation results in new vectors with low-valued correlations, it resembles the process of deleting a node. For node n3, if the “dilate.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection shrink” operation results in new vectors with low-valued correlations, it resembles the process of deleting a node. For node n3, if the “dilate

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.332999Z

Source-reported events for the cited work

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Observation 159e6f64-5f67-4059-acb2-143822fe54c0 · outbound

This paper cites Experimental Settings 4.1.1.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Experimental Settings 4.1.1

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T19:05:24.310982Z

Source-reported events for the cited work

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Observation 158dd863-e034-4641-8336-237a46ecf63b · outbound

This paper cites We also propose a node di- lation and shrinkage strategy to enhance contrastive learning.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection We also propose a node di- lation and shrinkage strategy to enhance contrastive learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.293040Z

Source-reported events for the cited work

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Observation 02b67f81-fc0e-4ecb-882d-1c8fa781c130 · outbound

This paper cites Potential for digital behavioral measurement tools to transform the detection and diagnosis of autism spectrum disorder,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Potential for digital behavioral measurement tools to transform the detection and diagnosis of autism spectrum disorder,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.273401Z

Source-reported events for the cited work

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Observation 559cf097-78c4-4511-8364-3a4593c06c89 · outbound

This paper cites Emerging concepts for the dynamical organization of resting-state activity in the brain,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Emerging concepts for the dynamical organization of resting-state activity in the brain,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.252092Z

Source-reported events for the cited work

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Observation 3a393c3f-7292-4e7e-a575-ba14f07deb7c · outbound

This paper cites Braingnn: Interpretable brain graph neural net- work for fmri analysis,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Braingnn: Interpretable brain graph neural net- work for fmri analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.232417Z

Source-reported events for the cited work

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Observation e443e85f-3a63-4924-84c5-56754bbd66f0 · outbound

This paper cites Multimodal fusion of structural and func- tional brain imaging in depression using linked indepen- dent component analysis,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Multimodal fusion of structural and func- tional brain imaging in depression using linked indepen- dent component analysis,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.215453Z

Source-reported events for the cited work

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Observation 5f9e153e-e098-4d3b-9af1-496e7e385967 · outbound

This paper cites Application of graph theory for iden- tifying connectivity patterns in human brain networks: a systematic review,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Application of graph theory for iden- tifying connectivity patterns in human brain networks: a systematic review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.180628Z

Source-reported events for the cited work

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Observation 8d0ef35f-e519-4a10-b93d-c3c861f872af · outbound

This paper cites Network modelling methods for fmri,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Network modelling methods for fmri,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.160808Z

Source-reported events for the cited work

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Observation cd17ce82-3b02-40b3-a972-76db89c96470 · outbound

This paper cites Boot- strapping graph convolutional neural networks for autism spectrum disorder classification,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Boot- strapping graph convolutional neural networks for autism spectrum disorder classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.144375Z

Source-reported events for the cited work

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Observation e06e2ce5-83a7-41ff-a862-ae7245d3b5ee · outbound

This paper cites Spcxr: Self-supervised pretraining using chest x-rays towards a domain specific foundation model,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Spcxr: Self-supervised pretraining using chest x-rays towards a domain specific foundation model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.124083Z

Source-reported events for the cited work

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Observation 80a97163-5707-41c1-8a30-791e008b2680 · outbound

This paper cites Resting-state fmri: a review of methods and clinical applications,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Resting-state fmri: a review of methods and clinical applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.104955Z

Source-reported events for the cited work

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Observation 86c25987-56c9-47ec-8ab7-4298403289e9 · outbound

This paper cites Developmental changes in large-scale network connectivity in autism,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Developmental changes in large-scale network connectivity in autism,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.084009Z

Source-reported events for the cited work

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Observation 041c005d-c890-4e22-b2d9-713b90cb7eca · outbound

This paper cites Fbnetgen: Task-aware gnn-based fmri anal- ysis via functional brain network generation,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Fbnetgen: Task-aware gnn-based fmri anal- ysis via functional brain network generation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.062282Z

Source-reported events for the cited work

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Observation b2fe145a-e065-4995-8a34-f3f2e7b174cf · outbound

This paper cites Do transformers really perform badly for graph representation?,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Do transformers really perform badly for graph representation?,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.035495Z

Source-reported events for the cited work

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Observation f93a4792-c822-4f2f-bb81-fc5c1c78ff79 · outbound

This paper cites Rethinking graph transformers with spectral attention,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Rethinking graph transformers with spectral attention,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.016756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04fffc27-b818-4384-acef-388b107f4ea4 · outbound

This paper cites Brain network transformer,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Brain network transformer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:24.002963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b55f781-fa91-43a4-a516-41cf3059606f · outbound

This paper cites Joint embedding of structural and func- tional brain networks with graph neural networks for mental illness diagnosis,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Joint embedding of structural and func- tional brain networks with graph neural networks for mental illness diagnosis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:23.987568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5919bc17-81aa-4613-9ace-d5c2d40f2530 · outbound

This paper cites Contrastive self- supervised learning for graph classification,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Contrastive self- supervised learning for graph classification,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:23.974108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b182211-bc2f-4c03-b638-4d31f9815694 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Momentum contrast for unsupervised visual representation learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T19:05:23.869929Z

Source-reported events for the cited work

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Observation a8db556e-284f-47c3-8b01-0e75d4da66f0 · outbound

This paper cites The neuro bu- reau preprocessing initiative: open sharing of prepro- cessed neuroimaging data and derivatives,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection The neuro bu- reau preprocessing initiative: open sharing of prepro- cessed neuroimaging data and derivatives,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:23.951803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2633f16e-3bd5-4fb5-b599-b9bf963cd902 · outbound

This paper cites Braingb: A bench- mark for brain network analysis with graph neural net- works,.

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection Braingb: A bench- mark for brain network analysis with graph neural net- works,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:05:23.937370Z

Source-reported events for the cited work

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Pith citing papers

Observation 3aeec81f-1de6-4868-b88e-80ded8df57e7 · inbound