Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:34.584885Z
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:34.584885Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 06a6bf59-8b3f-430e-8816-6e01a808b03c · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a8fde163-c1ed-49c4-b443-4073a55d1cfd · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4f93b6cc-8f97-458e-bd58-aa85f21a0ed0 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1f38d5ef-9593-4b92-a60a-c50d03c444db · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 36b6f017-aa61-42ec-acee-2cca91ca2077 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2e57b7c0-8dfd-4f37-a5ee-32210935db2a · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 59ca92aa-e3db-4b13-b2c4-f500cfe02f1c · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 82a1f506-ff92-4514-9c7e-e8f8f054745d · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d787065f-6d55-429e-8c34-42051289511e · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 542f493c-eaac-41ca-8ff2-b093638ee936 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fc6fd0f0-0b4b-4181-b81f-830c66ed9a25 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 70f4b9d5-5539-4949-9af9-073907eb0667 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62f1b815-2e5e-408f-b936-796baddd560a · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 123796a9-ed3a-4935-b214-c9d1de51c02e · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ee013a1-2287-4dc5-a669-a4f398d418d7 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f818c9e1-d82e-4f22-800c-363f8bef98bc · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ea0556b8-8e29-4eed-be8a-56a68d01a4c0 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5923433d-afab-40ab-89e0-2f770c3fbf20 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46d03c40-d3b8-4897-b3d4-5bbfbb7cf478 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75097750-b2e7-4c3f-9216-3a0bc6840116 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03812d59-25dd-4046-95ef-cd9b1b3d89c6 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5e15aa05-0183-47c0-8295-05e3ec26a958 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58cccca7-bc46-4ca2-a8d9-c50ea8b50d48 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d66a5bd8-06e5-4ba1-8c67-78c2b8571d85 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c5a36627-6bd5-469c-9986-461afeb7665f · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18356007-8306-4c6d-8802-c6fafc6f05b8 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 78d66a8a-c8ce-43c7-a5f7-5893fed94059 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6961f57-ec4f-43cb-8001-225a8b9e704c · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dac64f32-c8cb-4f87-9de9-6e4fcb9ef7bc · outbound
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
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.
Observation 16e7aabc-e0b1-4caa-8739-f281a1eb57f5 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c7d5ffaa-f394-43e0-a6e9-37a35a66cf69 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d6383374-57c9-4521-9757-6da8970947be · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d1d33544-9c94-4a13-b601-caf1549c261a · outbound
Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Generalized Linear Models,
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe16c265-86ff-4344-964e-5c31ecdf23d6 · outbound
Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Unresolved cited work
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5fbee236-25ef-44b6-996f-c6f0f3017604 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6736fc37-9545-434b-858c-a9a00f32ee71 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ca712921-f2ea-4999-84fc-75bf74fd84d5 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2476a7a7-3f19-4de0-8226-1d41e935b0c3 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3f2d7e70-4c47-49d4-ae76-af3f34e7ed64 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7c1e2bf0-a8e5-45fa-8996-d779510bda6f · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 827694f1-364b-46d1-bd85-9ae83b9e2798 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 89370809-0f70-40a4-bf1e-d7c64d22283a · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.