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Paper Citation Record · LEDGER

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.07720.

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pith.paper-citation-record.v1
2607.07720 v2

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measured 34 of 34 reference resolution

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measured 34 of 34 standing notices

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34 of 34 outbound references displayed

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Outbound references

Observation 7bfac566-4305-4889-bdab-dc5849101a5d · outbound

This paper cites Brain and brain-heart granger causality during wakefulness and sleep.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Brain and brain-heart granger causality during wakefulness and sleep

Reference 1

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Observation 6832e97a-3136-4350-b3ce-77b05500f760 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Self-supervised learning from images with a joint-embedding predictive architecture

Reference 2

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Observation eae83d54-5b17-4238-ab3f-fee9af1ade5b · outbound

This paper cites Network physiology reveals relations between network topology and physiological function.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Network physiology reveals relations between network topology and physiological function

Reference 3

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Observation e68b6268-fa82-42f9-b044-31f692749f83 · outbound

This paper cites Racial/ethnic differences in sleep disturbances: the multi-ethnic study of atherosclerosis (mesa).Sleep, 38(6):877–888, 2015.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Racial/ethnic differences in sleep disturbances: the multi-ethnic study of atherosclerosis (mesa).Sleep, 38(6):877–888, 2015

Reference 4

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Observation e17bfcf2-d102-40f8-94af-71ea6d0fb9a0 · outbound

This paper cites MAEEG: Masked Auto-encoder for EEG Representation Learning.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics MAEEG: Masked Auto-encoder for EEG Representation Learning

Reference 5

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Observation e34be7e7-2aa7-4079-9d39-463fe37d3dc5 · outbound

This paper cites Dynamic coupling between the central and autonomic nervous systems during sleep: a review.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Dynamic coupling between the central and autonomic nervous systems during sleep: a review

Reference 6

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Observation d1aeba3a-a1e1-40d7-b3cf-75d5c4e7f2a3 · outbound

This paper cites A novel sleep staging network based on data adaptation and multimodal fusion.Frontiers in human neuroscience, 15:727139, 2021.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics A novel sleep staging network based on data adaptation and multimodal fusion.Frontiers in human neuroscience, 15:727139, 2021

Reference 7

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Observation 7e8e5107-1202-4ce0-a2fa-da41707678dc · outbound

This paper cites Wickramaratne, Patricia Kovatch, Mayte Suarez-Farinas, Neomi A Shah, Ankit Parekh, and Girish N Nadkarni.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Wickramaratne, Patricia Kovatch, Mayte Suarez-Farinas, Neomi A Shah, Ankit Parekh, and Girish N Nadkarni

Reference 8

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Observation d3e3ead1-2b06-4c26-b650-514403cf2ab9 · outbound

This paper cites An approach for determining the reliability of manual and digital scoring of sleep stages.Sleep, 46(11):zsad248, 2023.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics An approach for determining the reliability of manual and digital scoring of sleep stages.Sleep, 46(11):zsad248, 2023

Reference 9

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Observation b400fdd0-616a-4e89-b723-8365eadf063a · outbound

This paper cites You snooze, you win: the physionet/computing in cardiology challenge 2018.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics You snooze, you win: the physionet/computing in cardiology challenge 2018

Reference 10

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Observation 0dd15d85-5ebd-4485-aa17-98cf5247bac8 · outbound

This paper cites Investigation of automated sleep staging from cardiorespiratory signals regarding clinical appli- cability and robustness.Biomedical Signal Processing and Control, 71:103047, 2022.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Investigation of automated sleep staging from cardiorespiratory signals regarding clinical appli- cability and robustness.Biomedical Signal Processing and Control, 71:103047, 2022

Reference 11

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Observation 804e47a3-b167-4169-94f7-7450b83071a8 · outbound

This paper cites A unified time-frequency foundation model for sleep decoding.Nature Communications, 17, 2026.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics A unified time-frequency foundation model for sleep decoding.Nature Communications, 17, 2026

Reference 12

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Observation d6e7da78-0683-4856-845c-8b2db76d43c1 · outbound

This paper cites Large brain model for learning generic representations with tremendous eeg data in bci.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Large brain model for learning generic representations with tremendous eeg data in bci

Reference 13

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Observation 72fdd580-32a0-40fc-9092-81df6569a2fa · outbound

This paper cites Isruc-sleep: A com- prehensive public dataset for sleep researchers.Computer methods and programs in biomedicine, 124:180–192, 2016.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Isruc-sleep: A com- prehensive public dataset for sleep researchers.Computer methods and programs in biomedicine, 124:180–192, 2016

Reference 14

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Observation fea1569b-7687-4aa0-ba81-369850491f06 · outbound

This paper cites Core-sleep: A multimodal fusion framework for time series robust to imperfect modalities.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32:840–849, 2024.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Core-sleep: A multimodal fusion framework for time series robust to imperfect modalities.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32:840–849, 2024

Reference 15

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Observation 80ba2e94-38d8-4ebc-8cb6-568a4d133e35 · outbound

This paper cites A path towards autonomous machine intelligence version 0.9.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics A path towards autonomous machine intelligence version 0.9

Reference 16

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Observation 30ddc8e2-d37b-4113-a456-5aeebb14313d · outbound

This paper cites Automatic sleep stage classification using deep learning: signals, data representation, and neural networks.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Automatic sleep stage classification using deep learning: signals, data representation, and neural networks

Reference 17

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Observation 662de5ab-b6aa-44d5-b615-cbf75d066426 · outbound

This paper cites Dynamic brain-heart interaction in sleep characterized by variational phase-amplitude coupling framework.Communications Biology, 8(1):1235, 2025.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Dynamic brain-heart interaction in sleep characterized by variational phase-amplitude coupling framework.Communications Biology, 8(1):1235, 2025

Reference 18

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Observation da8d6053-6262-4f00-99cd-dd76152c0a6e · outbound

This paper cites A novel deep learning model based on transformer and cross modality attention for classification of sleep stages.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics A novel deep learning model based on transformer and cross modality attention for classification of sleep stages

Reference 19

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Observation 31a770f8-3a85-4314-984f-35e3b9b5afe6 · outbound

This paper cites Xsleepnet: Multi-view sequential model for automatic sleep staging.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5903–5915, 2021.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Xsleepnet: Multi-view sequential model for automatic sleep staging.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):5903–5915, 2021

Reference 20

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Observation f2de538b-2eed-4fbb-ad5b-70c8d887dfdf · outbound

This paper cites Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification

Reference 21

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Observation deaef4e3-ca66-414d-8420-af857ebae35e · outbound

This paper cites The sleep heart health study: design, rationale, and methods.Sleep, 20(12):1077–1085, 1997.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics The sleep heart health study: design, rationale, and methods.Sleep, 20(12):1077–1085, 1997

Reference 22

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Observation 929be416-683c-4795-89bd-1ff51d9b93ec · outbound

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Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Unresolved cited work

Reference 23

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Observation 73017efb-f31b-48c9-b9e7-daa13d9d61f0 · outbound

This paper cites Sleepfm: Multi-modal representation learning for sleep across ecg, eeg and respiratory signals.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Sleepfm: Multi-modal representation learning for sleep across ecg, eeg and respiratory signals

Reference 24

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Observation 7b9fc3ac-fa2d-41be-8fb2-8eb3d57d4de2 · outbound

This paper cites Brandon Westover, Poul Jennum, Andreas Brink-Kjaer, Emmanuel Mignot, James Zou, and Magnus Rønneberg Ruud.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Brandon Westover, Poul Jennum, Andreas Brink-Kjaer, Emmanuel Mignot, James Zou, and Magnus Rønneberg Ruud

Reference 25

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Observation ecf79a2d-a644-4a6f-93cc-4b9ce4f31069 · outbound

This paper cites An electrocardiogram-based technique to assess cardiopulmonary coupling during sleep.Sleep, 28(9):1151–1161, 2005.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics An electrocardiogram-based technique to assess cardiopulmonary coupling during sleep.Sleep, 28(9):1151–1161, 2005

Reference 26

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This paper cites Slim-brain: A data-and training-efficient foundation model for fmri data analysis.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Slim-brain: A data-and training-efficient foundation model for fmri data analysis

Reference 27

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Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI

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Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Omni-fmri: A universal atlas-free fmri foundation model

Reference 29

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Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining

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Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics BrainWorld: A Structural-Prior-Conditioned Generative Model for Whole-Brain 4D fMRI Dynamics

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This paper cites Quantifying sleep architecture dynamics and individual differences using big data and bayesian networks.PloS one, 13(4):e0194604, 2018.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Quantifying sleep architecture dynamics and individual differences using big data and bayesian networks.PloS one, 13(4):e0194604, 2018

Reference 32

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Observation 27565376-4c45-4f90-9ef0-64a11f8cfb3c · outbound

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Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Unresolved cited work

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This paper cites Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice.Sleep Medicine Reviews, 74:101897, 2024.

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice.Sleep Medicine Reviews, 74:101897, 2024

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source=pdf_text observed=2026-07-13T07:02:56.135887Z digest=sha256:98406fd696ab45ade77c67fa13089e8e345aaa50c3fecbf451341a46522ad601

Pith citing papers

No inbound Pith citation observations are available.