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Paper Citation Record · LEDGER

OSF: On Pre-training and Scaling of Sleep Foundation Models

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 5 inbound Pith citation observations for arXiv:2603.00190.

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

pith.paper-citation-record.v1
2603.00190 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:21:02.521974Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:41:10.528667Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 023adfae-3fd0-4214-8975-df279d8c1124 · outbound

This paper cites Large-scale training of foundation models for wearable biosignals.

OSF: On Pre-training and Scaling of Sleep Foundation Models Large-scale training of foundation models for wearable biosignals

Reference 1

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source=pdf_text observed=2026-08-02T20:20:56.574823Z digest=sha256:de29dc8f30f9a325909800a5834547aaee4d68ba24554a7920c497c9b8308e00

Observation 1419a58b-7bdc-4d08-981c-14d5eef3c753 · outbound

This paper cites Chronos: Learning the Language of Time Series.

OSF: On Pre-training and Scaling of Sleep Foundation Models Chronos: Learning the Language of Time Series

Reference 2

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source=pdf_text observed=2026-08-02T20:20:56.744743Z digest=sha256:ed05db49be16700140c3465b720c4ff0f931df54a53b5e96a7b383ca339ecacb

Observation e28926e3-7ffa-47ca-8c59-f76b72e1da0d · outbound

This paper cites The dreem headband compared to polysomnography for electroencephalographic signal acquisition and sleep staging.Sleep, 43(11):zsaa097, 2020.

OSF: On Pre-training and Scaling of Sleep Foundation Models The dreem headband compared to polysomnography for electroencephalographic signal acquisition and sleep staging.Sleep, 43(11):zsaa097, 2020

Reference 3

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source=pdf_text observed=2026-08-02T20:20:56.874746Z digest=sha256:f0c6adabc71910968e1815dc348725fce02f1df1f431958f8b1ef38aeb8724a5

Observation ff2a4132-f03b-4b33-b9f1-b40581f3de55 · outbound

This paper cites Validation of a self- applied unattended monitor for sleep disordered breathing.Journal of Clinical Sleep Medicine, 4(1):26–37, 2008.

OSF: On Pre-training and Scaling of Sleep Foundation Models Validation of a self- applied unattended monitor for sleep disordered breathing.Journal of Clinical Sleep Medicine, 4(1):26–37, 2008

Reference 4

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source=pdf_text observed=2026-08-02T20:20:57.025636Z digest=sha256:82fdf9155b39ca12b7346964232798768106329fa21514c79c5ffb33d105234c

Observation a04395d2-3358-4b3a-a76a-a23e331e4248 · outbound

This paper cites Evaluating reliability in wearable devices for sleep staging.NPJ Digital Medicine, 7(1):74, 2024.

OSF: On Pre-training and Scaling of Sleep Foundation Models Evaluating reliability in wearable devices for sleep staging.NPJ Digital Medicine, 7(1):74, 2024

Reference 5

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source=pdf_text observed=2026-08-02T20:20:57.204625Z digest=sha256:a18f1826e5ab3d04c112e3d53edc502d224688e318697e9d0b923859f8721b3c

Observation 95fbded7-f05b-448c-aea5-6c276a9477f2 · outbound

This paper cites an unresolved cited work.

OSF: On Pre-training and Scaling of Sleep Foundation Models Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-02T20:20:57.414743Z digest=sha256:f2b8f69ac9e96c21f85676857e739dd6442d22c73d891def4966c6177e3e7611

Observation 8a9164e9-719b-457a-b977-1764f5bacce5 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

OSF: On Pre-training and Scaling of Sleep Foundation Models Emerging properties in self-supervised vision transformers

Reference 7

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source=pdf_text observed=2026-08-02T20:20:57.565149Z digest=sha256:1d8eab7b37230a29cc17b57b61b4c2f7346e1ff901b23a8496ade2cb96ce3cb4

Observation 263fe5ab-2e90-4b2f-85c2-90f9f49e411f · outbound

This paper cites wav2sleep: A unified multi-modal approach to sleep stage classification from physiological signals.

OSF: On Pre-training and Scaling of Sleep Foundation Models wav2sleep: A unified multi-modal approach to sleep stage classification from physiological signals

Reference 8

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source=pdf_text observed=2026-08-02T20:20:57.721068Z digest=sha256:5a6c08181e8ef9116884c4f8acd39b8b61c57fe0ad0082abe94385fcf2169faa

Observation 87d396cc-18c3-463e-82eb-cd13eb866af4 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

OSF: On Pre-training and Scaling of Sleep Foundation Models A simple framework for contrastive learning of visual representations

Reference 9

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source=pdf_text observed=2026-08-02T20:20:57.764745Z digest=sha256:b38a21eae95566915d9734f23728a92413467296bb9222f3fdc0a8beee76fc76

Observation a4b41189-a7a7-49ad-8024-b8d90fecfe0c · outbound

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

OSF: On Pre-training and Scaling of Sleep Foundation Models Racial/ethnic differences in sleep disturbances: the multi-ethnic study of atherosclerosis (mesa).Sleep, 38(6):877–888, 2015

Reference 10

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source=pdf_text observed=2026-08-02T20:20:57.864742Z digest=sha256:bdd127139a3f9a14c66095e95c03f2370ae8b891684979422e56e8e5a1283303

Observation 25170372-7b88-41c2-89d2-9fe66827c85e · outbound

This paper cites This time is different: An observability perspective on time series foundation models.arXiv preprint arXiv:2505.14766, 2025.

OSF: On Pre-training and Scaling of Sleep Foundation Models This time is different: An observability perspective on time series foundation models.arXiv preprint arXiv:2505.14766, 2025

Reference 11

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source=pdf_text observed=2026-08-02T20:20:57.974732Z digest=sha256:94b89f0c54cba8b421eb72bafe5f67fa9dcdbbe7e808652d5ec77dcba49f9394

Observation 59b4eaae-68c8-4b20-90f7-70e258ebba16 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

OSF: On Pre-training and Scaling of Sleep Foundation Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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source=pdf_text observed=2026-08-02T20:20:58.204756Z digest=sha256:82017b554f947a053dea85eb900df93ce9f45ef8dbf39674229d971a5bd8ec14

Observation 741a8624-272b-4eb3-a851-649d4cc6f45b · outbound

This paper cites Challenges in recruitment to a randomized controlled study of cardiovascular disease reduction in sleep apnea: an analysis of alternative strategies.Sleep, 37(12):2035–2038, 2014.

OSF: On Pre-training and Scaling of Sleep Foundation Models Challenges in recruitment to a randomized controlled study of cardiovascular disease reduction in sleep apnea: an analysis of alternative strategies.Sleep, 37(12):2035–2038, 2014

Reference 13

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source=pdf_text observed=2026-08-02T20:20:58.375415Z digest=sha256:13a9ed0bacd8ad11ccb940730ba3696e14bc24be37bb2fb3224c7f49df92afef

Observation 07435f5b-f9e2-4960-b010-181fa679fcf9 · outbound

This paper cites an unresolved cited work.

OSF: On Pre-training and Scaling of Sleep Foundation Models Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-02T20:20:58.536656Z digest=sha256:dd0b9bb8ca5bc1f1fa493938f50e51df660c9d929a800bda3f9281c98d0e41fd

Observation 93d59cff-bd99-487d-9c89-0149587337c8 · outbound

This paper cites Masked autoencoders are scalable vision learners.

OSF: On Pre-training and Scaling of Sleep Foundation Models Masked autoencoders are scalable vision learners

Reference 15

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source=pdf_text observed=2026-08-02T20:20:58.656505Z digest=sha256:baf1926131614e442f4a3a691d0701727d676a4a2812b95035afd01a5f17be3f

Observation fbe634be-2e88-47d9-b22e-f54932d142e6 · outbound

This paper cites Long short-term memory.Neural computation, 9(8):1735–1780, 1997.

OSF: On Pre-training and Scaling of Sleep Foundation Models Long short-term memory.Neural computation, 9(8):1735–1780, 1997

Reference 16

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source=pdf_text observed=2026-08-02T20:20:58.754752Z digest=sha256:abb19e8db457aa2c39ac797499c8845852cf3964d05802f696aec920aa17f115

Observation 6815cd66-75ba-48f2-9d2c-e2cc0f1b190f · outbound

This paper cites Attention-based deep multiple instance learning.

OSF: On Pre-training and Scaling of Sleep Foundation Models Attention-based deep multiple instance learning

Reference 17

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source=pdf_text observed=2026-08-02T20:20:58.854866Z digest=sha256:51be1c3f6c701be6b2122b1c43bf27289bcefa0ed05fe44155dda6a1a87de5f4

Observation 93bede74-19a3-4d8d-ad4d-f23f4033ec9c · outbound

This paper cites an unresolved cited work.

OSF: On Pre-training and Scaling of Sleep Foundation Models Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-02T20:20:58.984749Z digest=sha256:11464eaac5f5e64705d7fb34ab9decb87955e9aecf08346773bc6a92061fa98b

Observation ac8b5635-b5f5-48cd-923f-9ae640c8f7ee · outbound

This paper cites Stanford sleep bench: Evaluating polysomnography pre-training methods for sleep foundation models.

OSF: On Pre-training and Scaling of Sleep Foundation Models Stanford sleep bench: Evaluating polysomnography pre-training methods for sleep foundation models

Reference 19

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source=pdf_text observed=2026-08-02T20:20:59.126803Z digest=sha256:0f31e545f5542855f53d14a2eb00e330b254e354be6f639faafdcbafb5443cff

Observation 1ec183d8-9395-4135-970a-45299e115229 · outbound

This paper cites A large collection of real-world pediatric sleep studies.Scientific Data, 9(1):421, 2022.

OSF: On Pre-training and Scaling of Sleep Foundation Models A large collection of real-world pediatric sleep studies.Scientific Data, 9(1):421, 2022

Reference 20

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source=pdf_text observed=2026-08-02T20:20:59.271699Z digest=sha256:d7227cc64b6a97da04985d0f26dce9a6df19ad19f24a1572b7c5aef9f5757ea8

Observation 2011ad51-f631-4db7-9892-c71f5d0adcf1 · outbound

This paper cites Self-supervised contrastive learning for medical time series: A systematic review.Sensors, 23(9):4221, 2023.

OSF: On Pre-training and Scaling of Sleep Foundation Models Self-supervised contrastive learning for medical time series: A systematic review.Sensors, 23(9):4221, 2023

Reference 21

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source=pdf_text observed=2026-08-02T20:20:59.393720Z digest=sha256:82dc35142bfc0ad798f36ccaf5294b25bd7b1e3e162f1e493484a3792a04b9b8

Observation d83acaef-3cfb-4e3e-93ec-35f448ae758a · outbound

This paper cites Decoupled Weight Decay Regularization.

OSF: On Pre-training and Scaling of Sleep Foundation Models Decoupled Weight Decay Regularization

Reference 22

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source=pdf_text observed=2026-08-02T20:20:59.465289Z digest=sha256:930b72276d49d6201504a615e34cbf1a901eb1fe9c7b968509a5512421368e5f

Observation 6007e469-8189-4975-96b2-3d04eac3f13e · outbound

This paper cites A randomized trial of adenotonsillectomy for childhood sleep apnea.New England Journal of Medicine, 368(25):2366– 2376, 2013.

OSF: On Pre-training and Scaling of Sleep Foundation Models A randomized trial of adenotonsillectomy for childhood sleep apnea.New England Journal of Medicine, 368(25):2366– 2376, 2013

Reference 23

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source=pdf_text observed=2026-08-02T20:20:59.608109Z digest=sha256:962bad27e48a2eb584a341f9b358af9ef06ed6989bb8890dcbd78901692cb4d3

Observation b3d7cda6-b0cd-4b05-bc5a-4ae36fb2e022 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

OSF: On Pre-training and Scaling of Sleep Foundation Models UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 24

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source=pdf_text observed=2026-08-02T20:20:59.714738Z digest=sha256:b1281e2a786fba4cd4f2729393015f61262f5aed6ccc0d40f6cd8624045c1c10

Observation 28206796-acca-44fa-a85a-023bf8d67014 · outbound

This paper cites Scaling Wearable Foundation Models.

OSF: On Pre-training and Scaling of Sleep Foundation Models Scaling Wearable Foundation Models

Reference 25

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source=pdf_text observed=2026-08-02T20:20:59.895480Z digest=sha256:68ad0ac2948af967feb6729fb7615fdcd2c05c4fc9eecd9417bb2d06ad9c2684

Observation aca29045-91cc-43ae-bbaf-755d50359aa5 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

OSF: On Pre-training and Scaling of Sleep Foundation Models DINOv2: Learning Robust Visual Features without Supervision

Reference 26

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source=pdf_text observed=2026-08-02T20:21:00.031416Z digest=sha256:3552a14c757924172c1591faee4bd76de765597f367169c50ea9d9bdd1d7eb9e

Observation 2cd9e885-d880-4f2f-8bb0-285cd6457a74 · outbound

This paper cites Pedsleepmae: Generativemodelformultimodal pediatric sleep signals.

OSF: On Pre-training and Scaling of Sleep Foundation Models Pedsleepmae: Generativemodelformultimodal pediatric sleep signals

Reference 27

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source=pdf_text observed=2026-08-02T20:21:00.167066Z digest=sha256:74bdf77e4873269e29cdcafe932d234651211c5054900bca26b46e791052e3b3

Observation 03e61181-67b7-43fd-8d94-282c82ee546f · outbound

This paper cites U-sleep: resilient high-frequency sleep staging.NPJ digital medicine, 4(1):72, 2021.

OSF: On Pre-training and Scaling of Sleep Foundation Models U-sleep: resilient high-frequency sleep staging.NPJ digital medicine, 4(1):72, 2021

Reference 28

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source=pdf_text observed=2026-08-02T20:21:00.311836Z digest=sha256:a6dd96a34d675d81188fe2a0f987bdea55cf4db703d6cd9a206b38b534571978

Observation 8394e7a0-705a-483e-b0a4-9d823c2b74c3 · outbound

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

OSF: On Pre-training and Scaling of Sleep Foundation Models The sleep heart health study: design, rationale, and methods.Sleep, 20(12):1077–1085, 1997

Reference 29

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source=pdf_text observed=2026-08-02T20:21:00.424744Z digest=sha256:011b1afea1ca8345e818400795017ff82cb0040c28bd859089ab8d47f3b2c5b6

Observation 40f686ae-d7f0-4319-aab0-ea009770fd4d · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

OSF: On Pre-training and Scaling of Sleep Foundation Models Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 30

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source=pdf_text observed=2026-08-02T20:21:00.554197Z digest=sha256:c68f1b85a2fd8088f307b39d38dc2fb3e2fd4ef02e3d5ece8ea34aee218bff9b

Observation bf0d28f3-930d-4e30-b294-ca00d05e8390 · outbound

This paper cites Sleep-disordered breathing in hispanic/latino individuals of diverse backgrounds.

OSF: On Pre-training and Scaling of Sleep Foundation Models Sleep-disordered breathing in hispanic/latino individuals of diverse backgrounds

Reference 31

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source=pdf_text observed=2026-08-02T20:21:00.696506Z digest=sha256:720d8da4f5820d8961ef563c56a88b25b23e7578074ae8a9c1ee0c05c7993c09

Observation 980bf3bc-4840-402c-b8fc-a5875b1f7a49 · outbound

This paper cites The familial aggregation of obstructive sleep apnea.

OSF: On Pre-training and Scaling of Sleep Foundation Models The familial aggregation of obstructive sleep apnea

Reference 32

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source=pdf_text observed=2026-08-02T20:21:00.844743Z digest=sha256:4860e05cf6c7ee360796464ece19c926644a8fa314c7e90a53e00f664024a46a

Observation 67678302-7c72-43eb-aff2-6c40d930e3a8 · outbound

This paper cites Prevalence and risk factors for sleep-disordered breathing in 8-to 11-year-old children: association with race and prematurity.The Journal of pediatrics, 142(4):383–389, 2003.

OSF: On Pre-training and Scaling of Sleep Foundation Models Prevalence and risk factors for sleep-disordered breathing in 8-to 11-year-old children: association with race and prematurity.The Journal of pediatrics, 142(4):383–389, 2003

Reference 33

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source=pdf_text observed=2026-08-02T20:21:00.974740Z digest=sha256:b44e0903b2f0706500606c7ab567d8e5b30636903efe004326d2116812886c6b

Observation 0b2431a3-e3bc-4193-ab71-d3f99f403141 · outbound

This paper cites Quantifying the arousal threshold using polysomnography in obstructive sleep apnea.Sleep, 41(1):zsx183, 2018.

OSF: On Pre-training and Scaling of Sleep Foundation Models Quantifying the arousal threshold using polysomnography in obstructive sleep apnea.Sleep, 41(1):zsx183, 2018

Reference 34

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source=pdf_text observed=2026-08-02T20:21:01.084747Z digest=sha256:0d02acdab576ea73115e7444b7bd34f730e04bff0cff16f36fd26a2b20141df4

Observation 21fe0031-aa0f-49fe-90a0-43775089b604 · outbound

This paper cites Sleep-disordered breathing and cognition in older women.Journal of the American Geriatrics Society, 56(1):45–50, 2008.

OSF: On Pre-training and Scaling of Sleep Foundation Models Sleep-disordered breathing and cognition in older women.Journal of the American Geriatrics Society, 56(1):45–50, 2008

Reference 35

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source=pdf_text observed=2026-08-02T20:21:01.167354Z digest=sha256:8771860a43d873fed596e7455917300038ae5af5c87424dd10d9b71babff96da

Observation 6210ee2e-1610-465e-9071-64f3b2e42483 · outbound

This paper cites SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals.

OSF: On Pre-training and Scaling of Sleep Foundation Models SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 36

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Observation 31d408b1-5776-4db5-85f7-051ce1adbd69 · outbound

This paper cites A multimodal sleep foundation model for disease prediction.Nature Medicine, pages 1–11, 2026.

OSF: On Pre-training and Scaling of Sleep Foundation Models A multimodal sleep foundation model for disease prediction.Nature Medicine, pages 1–11, 2026

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Observation 5b5ce236-86e9-499f-91ce-8c9e47357572 · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30, 2017.

OSF: On Pre-training and Scaling of Sleep Foundation Models Neural discrete representation learning.Advances in neural information processing systems, 30, 2017

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Observation 5260b68b-6927-4a59-be71-338c17171230 · outbound

This paper cites Simper: Simple self-supervised learning of periodic targets.

OSF: On Pre-training and Scaling of Sleep Foundation Models Simper: Simple self-supervised learning of periodic targets

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Observation 0ed0b8e9-0f41-453b-892f-33e21ae74966 · outbound

This paper cites Artificial intelligence-enabled detection and assessment of parkinson’s disease using nocturnal breathing signals.Nature Medicine, 28(10):2207–2215, 2022.

OSF: On Pre-training and Scaling of Sleep Foundation Models Artificial intelligence-enabled detection and assessment of parkinson’s disease using nocturnal breathing signals.Nature Medicine, 28(10):2207–2215, 2022

Reference 40

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Observation 7c4b4723-0a3f-41f6-bb99-31ed4ab0df66 · outbound

This paper cites Burden of sleep apnea: rationale, design, and major findings of the wisconsin sleep cohort study.

OSF: On Pre-training and Scaling of Sleep Foundation Models Burden of sleep apnea: rationale, design, and major findings of the wisconsin sleep cohort study

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source=pdf_text observed=2026-08-02T20:21:02.045070Z digest=sha256:e5d649575e838dc55d5a80108c1eeca6a9e2dfc959df68afc27c21cdd1e15110

Observation fe167073-1a56-47d2-b929-fc188b2d95e7 · outbound

This paper cites Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.NPJ digital medicine, 7(1):91, 2024.

OSF: On Pre-training and Scaling of Sleep Foundation Models Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.NPJ digital medicine, 7(1):91, 2024

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source=pdf_text observed=2026-08-02T20:21:02.166857Z digest=sha256:c11da0930475bcc38e7ce8c6fc3ec02763ba7527e9e7db6987e52da310f00c44

Observation 1a67be80-c161-4370-9733-ea250b2a92fc · outbound

This paper cites Challenges and opportunities of deep learning for wearable-based objective sleep assessment.npj Digital Medicine, 7(1):85, 2024.

OSF: On Pre-training and Scaling of Sleep Foundation Models Challenges and opportunities of deep learning for wearable-based objective sleep assessment.npj Digital Medicine, 7(1):85, 2024

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Observation b767ad87-bb9e-4c8f-979c-a7fb5e32876b · outbound

This paper cites Thenationalsleepresearchresource: towardsa sleep data commons.Journal of the American Medical Informatics Association, 25(10):1351–1358, 2018.

OSF: On Pre-training and Scaling of Sleep Foundation Models Thenationalsleepresearchresource: towardsa sleep data commons.Journal of the American Medical Informatics Association, 25(10):1351–1358, 2018

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Observation fde12a8a-7dad-439e-81d7-1b36fb92d6fe · outbound

This paper cites SensorLM: Learning the Language of Wearable Sensors.

OSF: On Pre-training and Scaling of Sleep Foundation Models SensorLM: Learning the Language of Wearable Sensors

Reference 45

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no resolver link, observed 2026-08-02T20:21:02.521974Z

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Pith citing papers

Observation b058ba42-7a88-4017-ba49-b6c7559e6898 · inbound

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health cites this paper.

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health OSF: On Pre-training and Scaling of Sleep Foundation Models

Reference 58

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verified exact
arxiv_id, observed 2026-07-07T03:18:12.655870Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7b60e87b-aa38-4065-a44a-6690ec02f787 · inbound

GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring cites this paper.

GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring OSF: On Pre-training and Scaling of Sleep Foundation Models

Reference 45

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arxiv_id, observed 2026-07-07T03:18:12.655870Z

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source=pdf_text observed=2026-06-28T23:23:38.624741Z digest=sha256:a7888ccdeefaa214bf16f1e61179ac94ecf0512a99de80dede20d32f02f66865

Observation 4a61fce9-9660-4701-a9c2-fe8e26bbfd27 · inbound

Next-Token Prediction Learns Generalisable Representations of Sleep Physiology cites this paper.

Next-Token Prediction Learns Generalisable Representations of Sleep Physiology OSF: On Pre-training and Scaling of Sleep Foundation Models

Reference 52

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arxiv_id, observed 2026-07-07T03:18:12.655870Z

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source=pdf_text observed=2026-06-27T16:42:53.899633Z digest=sha256:a63324ec203fde243d770de491fa6019fb4ba6158abcf9f26c06922693811dc0

Observation b3c597b5-7ba1-402d-b10d-7e2f1a65c4e1 · inbound

Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series cites this paper.

Signal or Noise? Understanding Generative Models for Real-World Sensor Time Series OSF: On Pre-training and Scaling of Sleep Foundation Models

Reference 33

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source=pdf_text observed=2026-07-11T20:41:10.528667Z digest=sha256:5d933657dd646ce1af1b9441e9b1e56631fe6b32683239126ea968610344b1be

Observation fd8d5de5-a33b-412c-9af6-5390b95bea0a · inbound

Inertia-1: An Open Exploration of Wearable Motion Foundation Models cites this paper.

Inertia-1: An Open Exploration of Wearable Motion Foundation Models OSF: On Pre-training and Scaling of Sleep Foundation Models

Reference 47

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verified exact
local_arxiv, observed 2026-07-11T01:37:43.417497Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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