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Paper Citation Record · LEDGER

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.06629.

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

pith.paper-citation-record.v1
2607.06629 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T01:07:21.002787Z

measured 34 of 34 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

34 of 34 outbound references displayed

  • verified exact21
  • verified fuzzy2
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch10

External citation measurements

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Outbound references

Observation 546893be-5978-422d-bf01-6291cd0d8cff · outbound

This paper cites A Path Towards Autonomous Machine Intelligence,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning A Path Towards Autonomous Machine Intelligence,

Reference 1

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Observation d2437420-b43c-438e-827a-0cf75c1a9985 · outbound

This paper cites A reusable benchmark of brain-age prediction from M/EEG resting- state signals,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning A reusable benchmark of brain-age prediction from M/EEG resting- state signals,

Reference 2

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Observation 0306ff7b-9b86-4fba-bcec-005df06a1558 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning A Simple Framework for Contrastive Learning of Visual Representations

Reference 3

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Observation 453d7569-7745-478f-b401-b6d41d00843c · outbound

This paper cites An open resource for transdiagnostic research in pediatric men- tal health and learning disorders,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning An open resource for transdiagnostic research in pediatric men- tal health and learning disorders,

Reference 4

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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 775f0adc-6e2d-4c12-a3f4-b7e954927951 · outbound

This paper cites Attention Is All You Need.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Attention Is All You Need

Reference 5

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Observation 301ae08f-ba6a-483e-aaa8-ffb4b0117cfa · outbound

This paper cites Auto-Encoding Variational Bayes.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Auto-Encoding Variational Bayes

Reference 6

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Observation e9780fed-ca2f-4979-b2e5-8dfde624d75e · outbound

This paper cites BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data

Reference 7

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

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Observation 5a97b644-9d84-4d13-8b81-a37bdc6518c4 · outbound

This paper cites BIOT: Biosignal Transformer for Cross-data Learning in the Wild,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning BIOT: Biosignal Transformer for Cross-data Learning in the Wild,

Reference 8

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Source-reported events for the cited work

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Observation 84f51974-54ef-4d8d-b6e1-c1fb27fc6158 · outbound

This paper cites Bootstrap your own latent: A new approach to self-supervised Learning.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Bootstrap your own latent: A new approach to self-supervised Learning

Reference 9

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Observation 1f96c845-bc4c-471a-a088-c80d1fb47e3e · outbound

This paper cites Brain age from the electroencephalogram of sleep,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Brain age from the electroencephalogram of sleep,

Reference 10

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Observation e082a9e7-075a-4a9b-8294-518424b286c5 · outbound

This paper cites BrainBERT: Self-supervised representation learning for intracranial recordings.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning BrainBERT: Self-supervised representation learning for intracranial recordings

Reference 11

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Observation b7c0af7f-69c3-49e4-b989-6e0b36b94b69 · outbound

This paper cites Cbramod: A criss-cross brain foundation model for eeg decoding.arXiv preprint arXiv:2412.07236, 2024a.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Cbramod: A criss-cross brain foundation model for eeg decoding.arXiv preprint arXiv:2412.07236, 2024a

Reference 12

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Observation d01a470f-ef3d-4fcf-8254-64077cd7dde9 · outbound

This paper cites data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

Reference 13

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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 bfed1bde-06e5-4d5c-8cb2-44a65ae30fd6 · outbound

This paper cites Hu- man Brain Mapping (aug 2017).

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Hu- man Brain Mapping (aug 2017)

Reference 14

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Observation 2dc7e67b-c6b8-4877-8e01-c1182f9ec0a1 · outbound

This paper cites EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs

Reference 15

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Observation 1a25de37-4cf2-4d80-b0f8-c26482cb9e18 · outbound

This paper cites 2018 , month =.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning 2018 , month =

Reference 16

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Observation 270106d0-8e71-43c1-8d5a-4f174f4379e0 · outbound

This paper cites iBOT: Image BERT Pre-Training with Online Tokenizer.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning iBOT: Image BERT Pre-Training with Online Tokenizer

Reference 17

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Observation f73d387c-3c73-4a75-a691-2457e9f876b3 · outbound

This paper cites Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Reference 18

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Observation e21dd635-6003-4d23-98f4-fa2bf035ee99 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 19

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Observation 20bf9b97-2667-4688-ae2a-83eef040d22a · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Masked Autoencoders Are Scalable Vision Learners

Reference 20

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Observation 0477d317-44db-4cbb-8a82-478698ed72ed · outbound

This paper cites Neuro-GPT: Towards A Foundation Model for EEG.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Neuro-GPT: Towards A Foundation Model for EEG

Reference 21

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Observation 848762ed-8f63-4e7c-8383-3f8f4857f2ef · outbound

This paper cites On Layer Normalization in the Transformer Architecture.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning On Layer Normalization in the Transformer Architecture

Reference 22

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Observation 7981e8ec-a938-4207-8879-3ccbe2d45a82 · outbound

This paper cites Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers,

Reference 23

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Observation 786c905f-d276-4853-9daa-b610c838f09a · outbound

This paper cites Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects

Reference 24

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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 2e3881c9-e074-4761-960a-af763509b4f6 · outbound

This paper cites REVE: A foundation model for EEG–adapting to any setup with large-scale pretraining on 25,000 subjects.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning REVE: A foundation model for EEG–adapting to any setup with large-scale pretraining on 25,000 subjects

Reference 25

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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 cf637ec8-6703-4358-a1f5-90efc4e4867f · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 26

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Source-reported events for the cited work

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Observation ea6d02e1-7099-4e9d-a06c-bf103e122bee · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 27

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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 712f6a56-32ea-437d-9cae-a7aba4ba4c42 · outbound

This paper cites Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Reference 28

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Source-reported events for the cited work

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Observation e86e8daa-4c33-4664-9975-ed3388438804 · outbound

This paper cites Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

Reference 29

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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 692c2091-5c46-4299-8989-10edbf453794 · outbound

This paper cites Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?,

Reference 30

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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 d412864a-2a97-4c25-bcca-029aad8bf377 · outbound

This paper cites The free-energy principle: a unified brain theory? , volume =.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning The free-energy principle: a unified brain theory? , volume =

Reference 31

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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 19352ad9-c260-4b3d-b76e-857a7d3fa9b1 · outbound

This paper cites Tracking multiple independent targets: evidence for a parallel tracking mechanism,.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Tracking multiple independent targets: evidence for a parallel tracking mechanism,

Reference 32

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doi, observed 2026-07-11T01:07:41.560030Z

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=2026-07-11T01:07:21.002787Z digest=sha256:9ccae25014e12c80bdaaba9617c959a909f09f4d0ee68991c91bcedf9f84760e

Observation 0352cfab-dfff-4d9b-af53-2ea9c65a2550 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-11T01:07:42.073425Z

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=2026-07-11T01:07:21.002787Z digest=sha256:c8b417acbeab23d5404c7b50faa78d71e84aa0cbcadff4889b78ffb3e6b7e1b5

Observation 5e1dae85-7603-4de4-ab01-f9af5a792b7b · outbound

This paper cites Whatever next? Predictive brains, situated agents, and the future of cognitive science , volume =.

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning Whatever next? Predictive brains, situated agents, and the future of cognitive science , volume =

Reference 34

Resolution
verified exact
doi, observed 2026-07-11T01:07:42.101423Z

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=2026-07-11T01:07:21.002787Z digest=sha256:a8b1f9694c2eceec58a1aa14c306ab16b2dc3522796f58e626b7a29c10859a36

Pith citing papers

No inbound Pith citation observations are available.