Paper Citation Record · LEDGER

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors

As of 12 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.03520.

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

pith.paper-citation-record.v1
2507.03520 v1

Coverage vector

measured 31 of 31 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 0ec203dc-70f7-4535-9d19-6db6893bf78d · outbound

This paper cites Sleep, insomnia, and depression,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Sleep, insomnia, and depression,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:33.068506Z

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This paper cites Narcolepsy,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Narcolepsy,

Reference 2

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Observation 8c82caaa-74f7-4586-bb02-30ce137716b2 · outbound

This paper cites Pathophysiology of sleep apnea,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Pathophysiology of sleep apnea,

Reference 3

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Observation 6a08c58b-5c7b-4601-aa13-5e521988b1ee · outbound

This paper cites Sleep disorders and sleep deprivation: an unmet public health problem,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Sleep disorders and sleep deprivation: an unmet public health problem,

Reference 4

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Observation f8284844-1811-4f62-8edc-0e2dfa7668ed · outbound

This paper cites Analysis of a sleep- dependent neuronal feedback loop: the slow-wave microcontinuity of the eeg,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Analysis of a sleep- dependent neuronal feedback loop: the slow-wave microcontinuity of the eeg,

Reference 5

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Observation 92097396-158f-496b-bc62-225bfedb01c8 · outbound

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

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors You snooze, you win: the phys- ionet/computing in cardiology challenge 2018,

Reference 6

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Observation 704f0b0c-325c-460d-b181-d5d3fd61b8e3 · outbound

This paper cites Racial/ethnic differences in sleep disturbances: the multi-ethnic study of atherosclerosis (mesa),.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Racial/ethnic differences in sleep disturbances: the multi-ethnic study of atherosclerosis (mesa),

Reference 7

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This paper cites Ecsmp: A dataset on emotion, cognition, sleep, and multi-model physiological signals,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Ecsmp: A dataset on emotion, cognition, sleep, and multi-model physiological signals,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:33.010988Z

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Observation 948275c0-34b5-453b-8c97-bee72abbf66e · outbound

This paper cites Addressing wearable sleep tracking inequity: A new dataset and novel methods for a population with sleep disorders,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Addressing wearable sleep tracking inequity: A new dataset and novel methods for a population with sleep disorders,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:33.001252Z

Source-reported events for the cited work

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Observation 07e88807-5a6b-4a1f-b643-86021c576b90 · outbound

This paper cites Tiles-2018, a longitudinal physiologic and behavioral data set of hospital workers,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Tiles-2018, a longitudinal physiologic and behavioral data set of hospital workers,

Reference 10

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Observation 8812c12c-1934-47c9-a46c-941489c5cc11 · outbound

This paper cites Polysomnography,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Polysomnography,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.982720Z

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Observation 08b86562-987e-41be-bb9e-304a7fca1554 · outbound

This paper cites A survey on sleep assessment methods,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors A survey on sleep assessment methods,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.974446Z

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Observation c5842ece-2fd7-419a-95d0-f9f39e11aac2 · outbound

This paper cites Sleep quality prediction from wearable data using deep learning,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Sleep quality prediction from wearable data using deep learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.965357Z

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Observation 38ff3b6c-142f-4090-b700-cbf4be14f095 · outbound

This paper cites Tracking depres- sion dynamics in college students using mobile phone and wearable sensing,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Tracking depres- sion dynamics in college students using mobile phone and wearable sensing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.956531Z

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Observation 6fff75dd-3906-497d-bfd9-78b5030ea035 · outbound

This paper cites Automating sleep stage classification using wireless, wearable sensors,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Automating sleep stage classification using wireless, wearable sensors,

Reference 15

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Observation 807b66ae-52de-44ef-af5d-75ceded8f1bd · outbound

This paper cites Effect of an internet–delivered cognitive behavioral therapy–based sleep improve- ment app for shift workers at high risk of sleep disorder: Single-arm, nonrandomized trial,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Effect of an internet–delivered cognitive behavioral therapy–based sleep improve- ment app for shift workers at high risk of sleep disorder: Single-arm, nonrandomized trial,

Reference 16

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Observation d0a1857c-ef4f-4996-b22b-e9b10836606a · outbound

This paper cites A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data,

Reference 17

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Observation a8b28283-dc6a-4881-9bde-0ac1ced2c293 · outbound

This paper cites Shift work and the assessment and management of shift work disorder (swd),.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Shift work and the assessment and management of shift work disorder (swd),

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.919067Z

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Observation 3eacd412-66ba-4dd8-90fa-42e15bb802bf · outbound

This paper cites The pittsburgh sleep quality index: a new instrument for psychiatric practice and research,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors The pittsburgh sleep quality index: a new instrument for psychiatric practice and research,

Reference 19

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Observation 33ce2cab-ea3c-43fc-a9ea-31d7ce7a17a7 · outbound

This paper cites Long short-term memory,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Long short-term memory,

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This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 21

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This paper cites BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Reference 22

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This paper cites Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Reference 23

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This paper cites From local explanations to global understanding with explainable ai for trees,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors From local explanations to global understanding with explainable ai for trees,

Reference 24

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This paper cites Sleep in normal aging,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Sleep in normal aging,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.887074Z

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Observation 88137c9b-b1ff-43e1-90ae-d430b2d840a8 · outbound

This paper cites The “all of us.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors The “all of us

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.878415Z

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Observation f9ac98a1-85d0-4479-9355-fffa7df77a1b · outbound

This paper cites Nurses’ sleep, work hours, and patient care quality, and safety,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Nurses’ sleep, work hours, and patient care quality, and safety,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.869156Z

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Observation 9921c205-7f7b-4659-b262-059248b0b4e9 · outbound

This paper cites Nurses’ sleep quality, work environment and quality of care in the spanish national health system: observational study among different shifts,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Nurses’ sleep quality, work environment and quality of care in the spanish national health system: observational study among different shifts,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.859681Z

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Observation 119e905e-aec5-4ddc-9c12-991281441ad8 · outbound

This paper cites Poor sleep quality in nurses working or having worked night shifts: a cross-sectional study,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Poor sleep quality in nurses working or having worked night shifts: a cross-sectional study,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.851076Z

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Observation 205486ac-bc0b-46ee-9898-e54021cadbf6 · outbound

This paper cites Validation of fitbit charge 2 sleep and heart rate estimates against polysomnographic measures in shift workers: Naturalistic study,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Validation of fitbit charge 2 sleep and heart rate estimates against polysomnographic measures in shift workers: Naturalistic study,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.840806Z

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Observation 0e363c18-e06b-4316-83ca-a6fa79764514 · outbound

This paper cites Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches,.

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:32.831558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.