Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T07:02:56.135887Z
Paper Citation Record · LEDGER
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T07:02:56.135887Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7bfac566-4305-4889-bdab-dc5849101a5d · outbound
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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Unavailable: canonical work link unavailable.
Observation 6832e97a-3136-4350-b3ce-77b05500f760 · outbound
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
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
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
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
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
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
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
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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Unavailable: canonical work link unavailable.
Observation b400fdd0-616a-4e89-b723-8365eadf063a · outbound
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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Unavailable: canonical work link unavailable.
Observation 0dd15d85-5ebd-4485-aa17-98cf5247bac8 · outbound
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
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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Unavailable: canonical work link unavailable.
Observation d6e7da78-0683-4856-845c-8b2db76d43c1 · outbound
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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Unavailable: canonical work link unavailable.
Observation 72fdd580-32a0-40fc-9092-81df6569a2fa · outbound
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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Unavailable: canonical work link unavailable.
Observation fea1569b-7687-4aa0-ba81-369850491f06 · outbound
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
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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Unavailable: canonical work link unavailable.
Observation 30ddc8e2-d37b-4113-a456-5aeebb14313d · outbound
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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Unavailable: canonical work link unavailable.
Observation 662de5ab-b6aa-44d5-b615-cbf75d066426 · outbound
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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Unavailable: canonical work link unavailable.
Observation da8d6053-6262-4f00-99cd-dd76152c0a6e · outbound
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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Unavailable: canonical work link unavailable.
Observation 31a770f8-3a85-4314-984f-35e3b9b5afe6 · outbound
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
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
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
Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Unresolved cited work
Reference 23
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Unavailable: canonical work link unavailable.
Observation 73017efb-f31b-48c9-b9e7-daa13d9d61f0 · outbound
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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Unavailable: canonical work link unavailable.
Observation 7b9fc3ac-fa2d-41be-8fb2-8eb3d57d4de2 · outbound
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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Unavailable: canonical work link unavailable.
Observation ecf79a2d-a644-4a6f-93cc-4b9ce4f31069 · outbound
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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Unavailable: canonical work link unavailable.
Observation b20085b1-0d19-49ee-a3b1-8694e7dedd25 · outbound
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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Unavailable: canonical work link unavailable.
Observation e70d18cd-4dbd-48d6-9739-bce97988f814 · outbound
Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI
Reference 28
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Unavailable: canonical work link unavailable.
Observation 57b5e1bf-7a09-460a-b8aa-848b77ebcfdf · outbound
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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Unavailable: canonical work link unavailable.
Observation 15e1db36-ffe8-475d-b0fd-15e6ec84fd96 · outbound
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
Reference 30
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Unavailable: canonical work link unavailable.
Observation 1ba96620-6e15-4bd2-8d35-f4687ffdd0ba · outbound
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
Reference 31
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Observation 6919f575-4710-4178-a58b-612c16f28d9e · outbound
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
Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics Unresolved cited work
Reference 33
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Unavailable: canonical work link unavailable.
Observation ada2372a-d8fd-4269-836c-c93283b81b5d · outbound
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
Reference 34
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No inbound Pith citation observations are available.