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Paper Citation Record · LEDGER

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.15974.

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

pith.paper-citation-record.v1
2505.15974 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:34.584885Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact22
  • verified fuzzy7
  • unresolved10
  • parse uncertain0
  • malformed identifier3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06a6bf59-8b3f-430e-8816-6e01a808b03c · outbound

This paper cites Mental Health of College Students and Their Non–College-Attending Peers: Results From the National Epidemiologic Study on Alcohol and Related Conditions,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Mental Health of College Students and Their Non–College-Attending Peers: Results From the National Epidemiologic Study on Alcohol and Related Conditions,

Reference 1

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a8fde163-c1ed-49c4-b443-4073a55d1cfd · outbound

This paper cites The impact of stress on students in secondary school and higher education,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The impact of stress on students in secondary school and higher education,

Reference 2

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4f93b6cc-8f97-458e-bd58-aa85f21a0ed0 · outbound

This paper cites College life is stressful today – Emerging stressors and depressive symptoms in college students,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach College life is stressful today – Emerging stressors and depressive symptoms in college students,

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-07T15:14:38.121739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1f38d5ef-9593-4b92-a60a-c50d03c444db · outbound

This paper cites Predictors of Stress in College Students,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Predictors of Stress in College Students,

Reference 4

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verified exact
raw_fallback, observed 2026-08-07T15:14:37.935779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:32.116913Z digest=sha256:85564af12699987b0edf44dc1e50577bef6eb1fd9c595dd7c919e033dd31bfc4

Observation 36b6f017-aa61-42ec-acee-2cca91ca2077 · outbound

This paper cites American College Health Association-National College Health Assessment II: Reference Group Executive Summary Spring 2019,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach American College Health Association-National College Health Assessment II: Reference Group Executive Summary Spring 2019,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T15:14:39.241611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:32.214065Z digest=sha256:0b27eb1cd61ad5ca6cf01d0df686c6a1e5c902cf0736d0f0710a994e4127756c

Observation 2e57b7c0-8dfd-4f37-a5ee-32210935db2a · outbound

This paper cites American College Health Association-National College Health Assessment II: Reference Group Executive Summary Fall 2020,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach American College Health Association-National College Health Assessment II: Reference Group Executive Summary Fall 2020,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 59ca92aa-e3db-4b13-b2c4-f500cfe02f1c · outbound

This paper cites Mental stress and human cardiovascular disease,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Mental stress and human cardiovascular disease,

Reference 7

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doi, observed 2026-08-07T15:14:37.476360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 82a1f506-ff92-4514-9c7e-e8f8f054745d · outbound

This paper cites Exploring the impact of depression, anxiety, stress, academic engagement, and dropout intention on medical students’ academic performance: A prospective study,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Exploring the impact of depression, anxiety, stress, academic engagement, and dropout intention on medical students’ academic performance: A prospective study,

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T15:14:37.324090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d787065f-6d55-429e-8c34-42051289511e · outbound

This paper cites Posttraumatic Stress Disorder: Overview of Evidence-Based Assessment and Treatment,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Posttraumatic Stress Disorder: Overview of Evidence-Based Assessment and Treatment,

Reference 9

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doi, observed 2026-08-07T15:14:37.229969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 542f493c-eaac-41ca-8ff2-b093638ee936 · outbound

This paper cites Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review,

Reference 10

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doi, observed 2026-08-07T15:14:37.095519Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fc6fd0f0-0b4b-4181-b81f-830c66ed9a25 · outbound

This paper cites The effects of health coaching on adult patients with chronic diseases: A systematic review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The effects of health coaching on adult patients with chronic diseases: A systematic review,

Reference 11

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verified exact
doi, observed 2026-08-07T15:14:36.929492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 70f4b9d5-5539-4949-9af9-073907eb0667 · outbound

This paper cites Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62f1b815-2e5e-408f-b936-796baddd560a · outbound

This paper cites Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review,

Reference 13

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doi_truncated, observed 2026-08-07T15:14:36.810199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 123796a9-ed3a-4935-b214-c9d1de51c02e · outbound

This paper cites The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3ee013a1-2287-4dc5-a669-a4f398d418d7 · outbound

This paper cites The Effect of Mindfulness-Based Therapy on Anxiety and Depression: A Meta-Analytic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The Effect of Mindfulness-Based Therapy on Anxiety and Depression: A Meta-Analytic Review,

Reference 15

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doi, observed 2026-08-07T15:14:36.664058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f818c9e1-d82e-4f22-800c-363f8bef98bc · outbound

This paper cites Wearables for Stress Management: A Scoping Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Wearables for Stress Management: A Scoping Review,

Reference 16

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ea0556b8-8e29-4eed-be8a-56a68d01a4c0 · outbound

This paper cites Digital Mental Health Interventions for University Students With Mental Health Difficulties: A Systematic Review and Meta‐Analysis,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Digital Mental Health Interventions for University Students With Mental Health Difficulties: A Systematic Review and Meta‐Analysis,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5923433d-afab-40ab-89e0-2f770c3fbf20 · outbound

This paper cites Digital interventions to address mental health needs in colleges: Perspectives of student stakeholders,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Digital interventions to address mental health needs in colleges: Perspectives of student stakeholders,

Reference 19

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Source-reported events for the cited work

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Observation 46d03c40-d3b8-4897-b3d4-5bbfbb7cf478 · outbound

This paper cites Written emotional expression: Effect sizes, outcome types, and moderating variables,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Written emotional expression: Effect sizes, outcome types, and moderating variables,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75097750-b2e7-4c3f-9216-3a0bc6840116 · outbound

This paper cites How Breath-Control Can Change Your Life: A Systematic Review on Psycho- Physiological Correlates of Slow Breathing,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach How Breath-Control Can Change Your Life: A Systematic Review on Psycho- Physiological Correlates of Slow Breathing,

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 03812d59-25dd-4046-95ef-cd9b1b3d89c6 · outbound

This paper cites Empower Psychotherapy with mHealth Apps: The Design of ‘Safer’, an Emotion Regulation Application,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Empower Psychotherapy with mHealth Apps: The Design of ‘Safer’, an Emotion Regulation Application,

Reference 22

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verified exact
doi, observed 2026-08-07T15:14:36.257530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5e15aa05-0183-47c0-8295-05e3ec26a958 · outbound

This paper cites Evaluating the Reproducibility of Physiological Stress Detection Models,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Evaluating the Reproducibility of Physiological Stress Detection Models,

Reference 23

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no resolver link, observed 2026-08-07T15:14:33.501724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 58cccca7-bc46-4ca2-a8d9-c50ea8b50d48 · outbound

This paper cites Analyzing physiological responses to quantify anxiety disorders: A scoping review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Analyzing physiological responses to quantify anxiety disorders: A scoping review,

Reference 24

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verified exact
doi, observed 2026-08-07T15:14:36.094298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d66a5bd8-06e5-4ba1-8c67-78c2b8571d85 · outbound

This paper cites Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review,

Reference 25

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verified exact
doi, observed 2026-08-07T15:14:35.933957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c5a36627-6bd5-469c-9986-461afeb7665f · outbound

This paper cites G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18356007-8306-4c6d-8802-c6fafc6f05b8 · outbound

This paper cites Men’s Dropout From Mental Health Services: Results From a Survey of Australian Men Across the Life Span,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Men’s Dropout From Mental Health Services: Results From a Survey of Australian Men Across the Life Span,

Reference 27

Resolution
verified exact
doi, observed 2026-08-07T15:14:35.827303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 78d66a8a-c8ce-43c7-a5f7-5893fed94059 · outbound

This paper cites A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7,

Reference 28

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no resolver link, observed 2026-08-07T15:14:33.743773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e6961f57-ec4f-43cb-8001-225a8b9e704c · outbound

This paper cites The PHQ-8 as a measure of current depression in the general population,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The PHQ-8 as a measure of current depression in the general population,

Reference 29

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no resolver link, observed 2026-08-07T15:14:33.777962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dac64f32-c8cb-4f87-9de9-6e4fcb9ef7bc · outbound

This paper cites Review of the Psychometric Evidence of the Perceived Stress Scale,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Review of the Psychometric Evidence of the Perceived Stress Scale,

Reference 30

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verified exact
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Source-reported events for the cited work

correction dated 2013-08-27. Source: crossref record 10.1016/j.anr.2013.08.001->10.1016/j.anr.2012.08.004:correction, observed 2026-07-11T03:17:55.622759+00:00. This notice travels one citation hop only.

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Observation 16e7aabc-e0b1-4caa-8739-f281a1eb57f5 · outbound

This paper cites Studying heart rate behavior and rhythm using trend analysis methods among university students.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Studying heart rate behavior and rhythm using trend analysis methods among university students

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c7d5ffaa-f394-43e0-a6e9-37a35a66cf69 · outbound

This paper cites Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data,

Reference 32

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doi, observed 2026-08-07T15:14:35.442531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d6383374-57c9-4521-9757-6da8970947be · outbound

This paper cites Understanding Heart Rate Reactions to Post-Traumatic Stress Disorder (PTSD) Among Veterans: A Naturalistic Study,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Understanding Heart Rate Reactions to Post-Traumatic Stress Disorder (PTSD) Among Veterans: A Naturalistic Study,

Reference 33

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doi, observed 2026-08-07T15:14:35.162730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d1d33544-9c94-4a13-b601-caf1549c261a · outbound

This paper cites Generalized Linear Models,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Generalized Linear Models,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:34.042586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:34.042586Z digest=sha256:3e3b4d5ee488fb2317d4f6cd537b952710c0e1cb3b074e63072144c32749a39d

Observation fe16c265-86ff-4344-964e-5c31ecdf23d6 · outbound

This paper cites an unresolved cited work.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Unresolved cited work

Reference 35

Resolution
verified exact
doi, observed 2026-08-07T15:14:35.047335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.076387Z digest=sha256:3b85b23dafd7189ebb36dd398b9081267291a7c127ec988b1772c902930e3cb2

Observation 5fbee236-25ef-44b6-996f-c6f0f3017604 · outbound

This paper cites The BOBYQA algorithm for bound constrained optimization without derivatives,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The BOBYQA algorithm for bound constrained optimization without derivatives,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:38.891170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.129529Z digest=sha256:96b3fd48260bed35e8d292c1ef2a042c9c19470258215bd0432ae0e8996f1c09

Observation 6736fc37-9545-434b-858c-a9a00f32ee71 · outbound

This paper cites Bates et al., lme4: Linear Mixed-Effects Models using “Eigen” and S4.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Bates et al., lme4: Linear Mixed-Effects Models using “Eigen” and S4

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:38.748018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.193466Z digest=sha256:35a34e67b424198bff56b6c48cd51dcf85936b48cb36d110324a56d8f4d48feb

Observation ca712921-f2ea-4999-84fc-75bf74fd84d5 · outbound

This paper cites Cross-cultural adaptation and validation of the Danish consensus version of the 10-item Perceived Stress Scale,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Cross-cultural adaptation and validation of the Danish consensus version of the 10-item Perceived Stress Scale,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:38.581225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.258118Z digest=sha256:d336b538901f4ca6c3705fc750b336ef19101ac5e81651acf827e8ec2e8c27bf

Observation 2476a7a7-3f19-4de0-8226-1d41e935b0c3 · outbound

This paper cites Sensitivity to change and minimal clinically important difference of the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7),.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Sensitivity to change and minimal clinically important difference of the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7),

Reference 39

Resolution
verified exact
doi, observed 2026-08-07T15:14:34.909604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.315754Z digest=sha256:d2ac7dd643d71b412ddcc43cd222a9b50150211267be82d30cf6ee5c661c8c85

Observation 3f2d7e70-4c47-49d4-ae76-af3f34e7ed64 · outbound

This paper cites The Reach, Effectiveness, Adoption, Implementation, and Maintenance of Digital Mental Health Interventions for College Students: A Systematic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The Reach, Effectiveness, Adoption, Implementation, and Maintenance of Digital Mental Health Interventions for College Students: A Systematic Review,

Reference 40

Resolution
verified exact
doi, observed 2026-08-07T15:14:36.378946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.395313Z digest=sha256:d32bd1608ec370edef9083e10ee85ea979ccd2b5e3b0b8df29e4a53e76ed1a49

Observation 7c1e2bf0-a8e5-45fa-8996-d779510bda6f · outbound

This paper cites Is there a better telehealth platform for your practice?,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Is there a better telehealth platform for your practice?,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:14:38.462219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.442182Z digest=sha256:796f1bf51afd6cfe79d605ffe231c42dd8b506a1d5e6b376501ff04b5474927c

Observation 827694f1-364b-46d1-bd85-9ae83b9e2798 · outbound

This paper cites How sample size influences research outcomes,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach How sample size influences research outcomes,

Reference 42

Resolution
verified exact
doi, observed 2026-08-07T15:14:34.751501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:14:34.524797Z digest=sha256:d5fd5d26671c8c1e2fb5db26f2cd4b7c35855c2f8b95c073180b48cd77247fdb

Observation 89370809-0f70-40a4-bf1e-d7c64d22283a · outbound

This paper cites The relationship between social desirability bias and self-reports of health, substance use, and social network factors among urban substance users in Baltimore, Maryland,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The relationship between social desirability bias and self-reports of health, substance use, and social network factors among urban substance users in Baltimore, Maryland,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:34.584885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:34.584885Z digest=sha256:b24cfc5bb16b648a766b61009cc63db95bc5077b67c29c7f8a1f786fd2f66ef1

Pith citing papers

No inbound Pith citation observations are available.