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Paper Citation Record · LEDGER

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.21436.

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

pith.paper-citation-record.v1
2606.21436 v1

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measured 22 of 22 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-26T13:26:38.885006Z

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22 of 22 outbound references displayed

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Outbound references

Observation f835def8-5d02-4570-8835-01e406d29915 · outbound

This paper cites Large scale population assessment of physical activity using wrist worn accelerometers: The UK Biobank study,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Large scale population assessment of physical activity using wrist worn accelerometers: The UK Biobank study,

Reference 1

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Observation 1e178cfc-860e-425c-a274-c497a952746d · outbound

This paper cites The “All of Us.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data The “All of Us

Reference 2

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Observation 0489cd13-696f-4232-9c26-b82a52d412db · outbound

This paper cites Fitbit Charge HR wireless heart rate monitor: Validation study conducted under free-living conditions,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Fitbit Charge HR wireless heart rate monitor: Validation study conducted under free-living conditions,

Reference 3

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Observation dcf48673-aaa3-4ecc-82f5-081ac44e3278 · outbound

This paper cites Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research,

Reference 4

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Observation 9be85c9d-80c0-46e7-8da5-d93b536d1f8f · outbound

This paper cites Comprehensive comparison of Apple Watch and Fitbit monitors in a free-living setting,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Comprehensive comparison of Apple Watch and Fitbit monitors in a free-living setting,

Reference 5

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Observation 816c0c1b-5c72-43b3-89ee-966d94bf7210 · outbound

This paper cites Wrist-worn devices for the measurement of heart rate and energy expenditure: A validation study for the Apple Watch 6, Polar Vantage V and Fitbit Sense,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Wrist-worn devices for the measurement of heart rate and energy expenditure: A validation study for the Apple Watch 6, Polar Vantage V and Fitbit Sense,

Reference 6

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Observation 6af66154-d011-48be-93ff-272277eb30f4 · outbound

This paper cites Measurement of heart rate using the Polar OH1 and Fitbit Charge 3 wearable devices in healthy adults during light, moderate, vigorous, and sprint-based exercise: Validation study,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Measurement of heart rate using the Polar OH1 and Fitbit Charge 3 wearable devices in healthy adults during light, moderate, vigorous, and sprint-based exercise: Validation study,

Reference 7

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Observation b11e1af8-183e-41da-a464-9207d6296efa · outbound

This paper cites Assessment of Samsung Galaxy Watch4 PPG-based heart rate during light-to-vigorous physical activities,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Assessment of Samsung Galaxy Watch4 PPG-based heart rate during light-to-vigorous physical activities,

Reference 8

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Observation 74180723-0c9f-44a3-8501-332e6d4cee84 · outbound

This paper cites Preliminary assessment of the Samsung Galaxy Watch 5 accuracy for the monitoring of heart rate and heart rate variability parameters,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Preliminary assessment of the Samsung Galaxy Watch 5 accuracy for the monitoring of heart rate and heart rate variability parameters,

Reference 9

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Observation 46f50c0b-3223-4bb7-9953-6809f3c9aea4 · outbound

This paper cites Heart rate measurement accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device evaluation study,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Heart rate measurement accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device evaluation study,

Reference 10

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Observation 4ee2d8a7-ce0c-49d7-84d2-6c9563fa85dc · outbound

This paper cites Validity of the wrist-worn Polar Vantage V2 to measure heart rate and heart rate variability at rest,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Validity of the wrist-worn Polar Vantage V2 to measure heart rate and heart rate variability at rest,

Reference 11

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Observation 92c5eb00-d40c-463d-af6a-08fead7afb2e · outbound

This paper cites Commercial smart watches and heart rate monitors: A concurrent validity analysis,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Commercial smart watches and heart rate monitors: A concurrent validity analysis,

Reference 12

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Observation 3aee438c-9c2f-4134-9b8d-88df5b5a339a · outbound

This paper cites Criterion validity and accuracy of a heart rate monitor,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Criterion validity and accuracy of a heart rate monitor,

Reference 13

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Observation 37d876f1-604d-46b2-9ebd-4085e5326fa2 · outbound

This paper cites Wrist-worn wearables for monitoring heart rate and energy expenditure while sitting or performing light-to-vigorous physical activity: Validation study,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Wrist-worn wearables for monitoring heart rate and energy expenditure while sitting or performing light-to-vigorous physical activity: Validation study,

Reference 14

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Observation 5c87ebc7-370e-438a-b659-8d80788b6914 · outbound

This paper cites Deep PPG: Large-scale heart rate estimation with convolutional neural networks,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Deep PPG: Large-scale heart rate estimation with convolutional neural networks,

Reference 15

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Observation c46e805f-bf22-4a78-be68-5d2f4a0bd71c · outbound

This paper cites Deep learning fused wearable pressure and PPG data for accurate heart rate monitoring,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Deep learning fused wearable pressure and PPG data for accurate heart rate monitoring,

Reference 16

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Observation 9f0e20de-9ccd-4696-8065-77af34db78d9 · outbound

This paper cites DeepHeart: A deep learning approach for accurate heartrate estimation from PPG signals,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data DeepHeart: A deep learning approach for accurate heartrate estimation from PPG signals,

Reference 17

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Observation 878ef69f-4922-4764-accf-5d991164abe8 · outbound

This paper cites A Scoping Review of Deep Learning Methods for Photoplethysmography Data.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data A Scoping Review of Deep Learning Methods for Photoplethysmography Data

Reference 18

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local_arxiv, observed 2026-07-04T07:29:38.767069Z

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Observation 2a34e75d-d22c-40e8-8378-967018a98a1b · outbound

This paper cites A review of wearable multi-wavelength photoplethysmography,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data A review of wearable multi-wavelength photoplethysmography,

Reference 19

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Observation f5014e31-c475-4bb8-8033-d6ef9805799e · outbound

This paper cites How to wear Google Pixel Watch,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data How to wear Google Pixel Watch,

Reference 20

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arxiv_id, observed 2026-07-04T07:29:38.764701Z

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Observation e0f25444-770e-4254-a9d4-b0170921fd80 · outbound

This paper cites Reliability and validity of the combined heart rate and movement sensor Actiheart,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Reliability and validity of the combined heart rate and movement sensor Actiheart,

Reference 21

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Observation b3e5870f-ac13-47e2-af71-a12376341d1f · outbound

This paper cites Gaussian process robust regression for noisy heart rate data,.

Pixel Watch: Robust Heart Rate Sensing from Multipath PPG and On-Device Deep Learning Trained on 10,000 hours of Free-Living and Fitness Data Gaussian process robust regression for noisy heart rate data,

Reference 22

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Pith citing papers

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