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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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=sha256:6e4ca54772ce488e7df5044d2c2c36483e0f3e6c03902feae9161b673c41f889

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:dd2d732e44fc30df9be87ce59ab3147708b50dc078c2086e9a981962fe27caf1

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=sha256:68ccbd753957697997b3e281c954767ba8b25bddbe6f7f2268305efa0bdfbc34

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=sha256:637cbeab914f3b6a7d8145dd9f59291f988c0c8a28c8ad82bc2cc9204406f720

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=sha256:293ac0edcf9e1f38cab81d4cb4708174f1b843df5c67ee3d45385b11654395fe

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:edb6e6b51627e5a7dad0e9385866d0dcc37a3cfdde959a0a24ea28b6afa05e28

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=sha256:194d5ee4e3b2d92b2a754c699406cf098a0351e130c6988ca978fdb0737beef0

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=sha256:09e8cea1cbbab8c226cf431305ae2719c5654938d82e5a4908528154f24f0ed2

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=sha256:31cc073551e7e7bd45472e4b7e8b97532ef2252fd51db2aae53d4430aeb3731a

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:d312afe7a6232c2404345fd92ceac03ca89ecd803c7385d260ab29bf23c4ef77

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:bf50ddd413ca741599cbf5953bc14879dc86ecf34519c52a15726336b3adec1e

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:f4cb6e805d4ab8f5bdec0bc9ddac392637a868b5250d970b60dd4293d820d26e

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:eb647f66f693ec7d1e9fd9b447422326620517400c180229eea97e00bb235d9d

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=sha256:702a15a8b2f06fd28adba17986ea75123379786405e22e194efaa3675dbd5c1f

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:e3730c4459561b4c06a9a853e69c64193e5d476f1d5ee02ddab368e37507cf65

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:ac84f6c3970ebde5b50bd4a59ccf1174f8342f41c24297e3a0ea9d9aa232059e

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=sha256:8384eb6c60af58826b910f7d396221de31b0687e293467d6157662aa118e8f9c

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=sha256:888ba6fabe7e3d2a78cf4f103f7b55b4beae65279480dddd6c6e270f568947fc

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=sha256:1777d7e041a5b17522f9ab53f60ce9b2b802abca36669cae0530b702cf3cc91b

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=sha256:29e96013d160e4acbd50854deb8aa62a72a2d2e32c56cab648974f0be0f7092e

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=sha256:8702a1d7dd82f80bdb482d2f4da138152e3c1b0008af693346f2f99ff2bfd2a5

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=sha256:0d38b5b1f907a7540bef7ca4278be07fcca0e0cb4ce96cdf3d52dd2a738351db

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=sha256:1efdf3ae21b46220a0a9e5df36516603d2092805778910502515edbb73edafd4

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=sha256:47db2e541ffa8b5f204d8ca276693759e472a6717aee7b6079d13d4983406594

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:edf53b8f9262bf72bb6fbf5481edb3a3fcf0d9ba9ccfe302987816ffc0165ac1

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=sha256:5ea2ee9ab3b0258c9aaa69af67e879b6bdebeda7654459647bfb0ce1aa2ae6a1

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=sha256:97b04ef32cb7839f3a961a910d2ccc38dbbfc4356d26204d2ab1554ef1907608

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:c9fa40237f787a78428c9bd431538abd6c00e8c61e99d4559ee74495c82187f0

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=sha256:83b3d34ac6d46cb68f35a0051c7d75ea67c6af350f028cc76a5f5f9ec2a15ba0

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:c9f412731cb2ce0a68f76eae5ddc9d90a00305f33a7c6574316f45430746aa98

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=sha256:38cc34a5059f9b78d347e538bf54435973adb94bb7ff6f103ea3b4c81f2e8904

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:fc40b59b1fdebe8776407065ad41402150c5b36c3a82d68e3fc6f8a8d6d7c28b

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:e9c72bbe32d4c0e59a7973922900446c170f573e952447d86f7f27126eabd504

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=sha256:84435125d73f2af0113a9b1fc8786babe0cf970cb36dff16d7bd5ff055d382ea

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=sha256:6e904bb4c84f045f308ae680022160b1f3cff7a13c7189ead58c430b26609447

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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source=pdf_text observed=2026-08-02T20:21:01.366927Z digest=sha256:b11a0581ec14d680f9bdd0a4119eeeaa3ff763027260709e63dde4599c53260a

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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source=pdf_text observed=2026-08-02T20:21:01.492169Z digest=sha256:fe0f93b6c6a910b6deed1c7ff2933fc41432b4a2b5e81f8c1a29642003cf0489

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

Reference 39

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source=pdf_text observed=2026-08-02T20:21:01.664746Z digest=sha256:b389c24e956a27ad363b86cb5bda8662e70ac3a47f6a386962535e7e00fbbefd

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

Reference 41

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source=pdf_text observed=2026-08-02T20:21:02.045070Z digest=sha256:44fa33504fe363cbaec4b1ee23afdf135b7565c300a4eee2ae49b2458ac464e7

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

Reference 42

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source=pdf_text observed=2026-08-02T20:21:02.166857Z digest=sha256:7bf288cf248b32e8aafdc328945737e4a8c8e5807dcfd5547ee88f0c4219a371

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

Reference 43

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source=pdf_text observed=2026-08-02T20:21:02.244731Z digest=sha256:4df7a9486bb199cd9e7b6991dad4c1f978403d20b7348eb1b053c89e64609f3d

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

Reference 44

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source=pdf_text observed=2026-08-02T20:21:02.384742Z digest=sha256:99e1781505c1c463bfdf818f2412ae4e53c77e53c9f95bfb28dbdd4edd8b4a75

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

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source=pdf_text observed=2026-08-02T20:21:02.521974Z digest=sha256:56a552adaed349860fe98f5e4ed599d662257f1406f816dea5998e2fb3abc937

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T06:09:44.172188Z digest=sha256:b46e6069a9e13900f465b21731a108f548c18132b2b56cd5a4286a486139e1e0

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

Source-reported events for the cited work

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source=pdf_text observed=2026-06-28T23:23:38.624741Z digest=sha256:7ee174ce79570175f12c218bac340d5330313494626918b9da2216689fe2166f

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

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source=pdf_text observed=2026-06-27T16:42:53.899633Z digest=sha256:7adfb3849c5c0a77089c79a36cb951320a75e6eb90bdf4a4917e5b06322fe5e4

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:d6e0927bf6522b234ca080ade5d49c75edb3a3d94b4736e5e56c09fc09aadc64

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-11T01:32:47.613934Z digest=sha256:4ce349df94af23a6d8d09ab13ca301f1329f3804813e78b0da080a250e4d6f5c