Paper Citation Record · LEDGER

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.14146.

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

pith.paper-citation-record.v1
2507.14146 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:22:53.033014Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

44 of 44 outbound references displayed

verified exact0
verified fuzzy40
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 913690de-e4e4-403d-9362-4481557aa6e9 · outbound

This paper cites an unresolved cited work.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:22:53.494665Z

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 6dff9eef-5861-40b3-a080-b76e23f3b865 · outbound

This paper cites Traffic stress, vehicular burden and well-being: a multilevel analysis,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Traffic stress, vehicular burden and well-being: a multilevel analysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.473272Z

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 d29afc53-c697-47d7-a706-019c0d7d9037 · outbound

This paper cites Work stress and health problems of professional drivers: a hazardous formula for their safety outcomes,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Work stress and health problems of professional drivers: a hazardous formula for their safety outcomes,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.447435Z

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 b277417e-fa14-4d75-8884-2546d23947ed · outbound

This paper cites Signal processing and machine learning for mental health research and clinical applications [perspectives],.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Signal processing and machine learning for mental health research and clinical applications [perspectives],

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.422419Z

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 362d257d-11c9-4f71-85d6-6b06ce5b716a · outbound

This paper cites Multimodal features for detection of driver stress and fatigue,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Multimodal features for detection of driver stress and fatigue,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.396931Z

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 7721d320-610c-4416-9066-22119a68656a · outbound

This paper cites Camera-based drowsiness reference for driver state classification under real driving conditions,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Camera-based drowsiness reference for driver state classification under real driving conditions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.379036Z

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 108d54b7-7f81-40ea-ae67-9bd845445b94 · outbound

This paper cites Real-time detection of driver cognitive distraction using support vector machines,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Real-time detection of driver cognitive distraction using support vector machines,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.358619Z

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 df343c02-84a7-4bf3-8553-84e7a7d91be9 · outbound

This paper cites Effects of cognitive load on driving performance: The cognitive control hypothesis,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Effects of cognitive load on driving performance: The cognitive control hypothesis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.336429Z

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 25914ef2-21ab-4aa9-bafb-e5bab9ea3772 · outbound

This paper cites A multimodal dataset for various forms of distracted driving,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A multimodal dataset for various forms of distracted driving,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.323132Z

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 5e9dd542-d514-4530-93e8-8ffb1ee3a52e · outbound

This paper cites Mea- suring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Mea- suring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.315335Z

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 9293f476-64fd-4031-bf08-3ebce9e73450 · outbound

This paper cites Driver fatigue detection systems: A review,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Driver fatigue detection systems: A review,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.306930Z

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 08cd0086-e474-42eb-b176-c3fe718d87b6 · outbound

This paper cites Daily actigraphy profiles distinguish depressive and interepisode states in bipolar disorder,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Daily actigraphy profiles distinguish depressive and interepisode states in bipolar disorder,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.299695Z

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 03e1d590-2347-4506-a9d5-89e72909539c · outbound

This paper cites Self-supervised learning for human activity recognition using 700,000 person-days of wearable data,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Self-supervised learning for human activity recognition using 700,000 person-days of wearable data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.291446Z

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 5d99c15a-443c-4ff1-8e52-0cc165831e4c · outbound

This paper cites SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:22:52.953485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b75e71-1d72-42c4-80c8-5583c82f397d · outbound

This paper cites Detecting stress during real-world driv- ing tasks using physiological sensors,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Detecting stress during real-world driv- ing tasks using physiological sensors,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.283496Z

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 14699fd0-cf12-4a77-838c-eed838810b32 · outbound

This paper cites Classifying driver workload using physiological and driving perfor- mance data: two field studies,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Classifying driver workload using physiological and driving perfor- mance data: two field studies,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.275977Z

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 08ecd554-325b-4e2a-b196-5b2e7ff302a2 · outbound

This paper cites How the autonomic nervous system and driving style change with incremental stressing conditions during simulated driving,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring How the autonomic nervous system and driving style change with incremental stressing conditions during simulated driving,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.268383Z

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 3956a8b0-8e77-4edf-896d-6116bb17fdc5 · outbound

This paper cites An overview of heart rate variability metrics and norms,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring An overview of heart rate variability metrics and norms,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.260183Z

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 93f3bbd4-7bfd-4eab-9e1e-32e64ff0e887 · outbound

This paper cites Stress and heart rate variability: a meta-analysis and review of the literature,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Stress and heart rate variability: a meta-analysis and review of the literature,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:22:52.966965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6608c34-8cdf-4737-9c6e-2d734940f276 · outbound

This paper cites Heart rate dynamics for cognitive load estimation in a driving simulation task,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Heart rate dynamics for cognitive load estimation in a driving simulation task,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.248565Z

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 d19d4f9c-c744-4d3f-93ea-a98a0c4086e5 · outbound

This paper cites Driver’s stress detection using skin potential response signals,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Driver’s stress detection using skin potential response signals,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.240770Z

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 aa85cd12-f7ea-4c05-801f-442cea718ff3 · outbound

This paper cites Multimodal estimation of change points of physiological arousal during driving,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Multimodal estimation of change points of physiological arousal during driving,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.233899Z

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 5eb3164d-f2bc-428c-a137-0b8a0e1b7e23 · outbound

This paper cites Boucsein, Electrodermal activity.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Boucsein, Electrodermal activity

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.226376Z

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 61bc93ae-1de1-4e9f-af0f-e2a9d78be4df · outbound

This paper cites The complexity of electrodermal activity is altered in mental cognitive stressors,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring The complexity of electrodermal activity is altered in mental cognitive stressors,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.219803Z

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 d083488d-11d1-40f7-92ab-08aff2f0c88a · outbound

This paper cites Wearable device-based system to monitor a driver’s stress, fatigue, and drowsiness,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Wearable device-based system to monitor a driver’s stress, fatigue, and drowsiness,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.212247Z

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 dc93059f-56a6-430c-a5da-5ee37cddb45f · outbound

This paper cites A reasoning- based framework for car driver’s stress prediction,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A reasoning- based framework for car driver’s stress prediction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.204444Z

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 5d31c965-3811-472d-90aa-08df79da6933 · outbound

This paper cites Drowsiness detection based on the analysis of breathing rate obtained from real-time image recognition,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Drowsiness detection based on the analysis of breathing rate obtained from real-time image recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.195930Z

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 80c62c81-639e-4336-9a70-9a92da6328c5 · outbound

This paper cites Breathing rate complexity features for “in-the-wild.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Breathing rate complexity features for “in-the-wild

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.188364Z

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 e3e544c6-2c20-4bb3-b505-16045b652b05 · outbound

This paper cites Thermal infrared imaging in psychophysiology: potentialities and limits,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Thermal infrared imaging in psychophysiology: potentialities and limits,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.180996Z

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 9ebc051d-ffad-4ced-8439-8db635863f87 · outbound

This paper cites A preliminary study on driver’s stress index using a new method based on differential skin temperature measurement,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A preliminary study on driver’s stress index using a new method based on differential skin temperature measurement,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.173452Z

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 b7f84987-8f15-46bd-997f-1a4b8d7c2e48 · outbound

This paper cites Development of a facial skin temperature- based methodology for non-intrusive mental workload measurement,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Development of a facial skin temperature- based methodology for non-intrusive mental workload measurement,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.166008Z

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 d419ab31-19e7-47e0-8f52-dcf711f7e5df · outbound

This paper cites Eeg classification of driver mental states by deep learning,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Eeg classification of driver mental states by deep learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.156951Z

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 615cba40-336b-473c-9ccf-ea4e19b03229 · outbound

This paper cites BeamNG.tech.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring BeamNG.tech

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.148248Z

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 45510af1-a601-43a5-8689-8d98ed914d8f · outbound

This paper cites NeuroKit2: A python toolbox for neurophysiological signal processing,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring NeuroKit2: A python toolbox for neurophysiological signal processing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.140495Z

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 59f1ab13-c2da-4ba7-9ec3-66f47aefa4e5 · outbound

This paper cites Statistical strategies to quantify respiratory sinus arrhythmia: are commonly used metrics equivalent?.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Statistical strategies to quantify respiratory sinus arrhythmia: are commonly used metrics equivalent?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.132969Z

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 afc5539a-3305-4f69-b8ca-df6ee3a3a375 · outbound

This paper cites cvxeda: A convex optimization approach to electrodermal activity processing,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring cvxeda: A convex optimization approach to electrodermal activity processing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.124399Z

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 390f74be-f4cf-4402-893b-4e5d4d1b1ab4 · outbound

This paper cites A linear model for event-related respiration responses,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A linear model for event-related respiration responses,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.116757Z

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 252e0a29-830e-4770-b5ca-728d2c1662e6 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Xgboost: A scalable tree boosting system,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:22:53.017588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71a9760-9a47-4f6a-a8d7-ad2c9bbc8cb1 · outbound

This paper cites A unified approach to interpreting model predictions,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A unified approach to interpreting model predictions,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.105257Z

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 d8244a43-2a8a-481b-9569-9c6deea5f9ea · outbound

This paper cites Exploring the use of thermal infrared imaging in human stress re- search,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Exploring the use of thermal infrared imaging in human stress re- search,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.096613Z

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 3160008c-aa12-461d-bfa4-e095a2da205d · outbound

This paper cites Understanding drivers’ stress and interactions with vehicle systems through naturalistic data analysis,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Understanding drivers’ stress and interactions with vehicle systems through naturalistic data analysis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.088682Z

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 7a4143b0-54d4-4790-8f15-bc091fb6de37 · outbound

This paper cites The proof and measurement of association between two things.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring The proof and measurement of association between two things

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.080429Z

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 2a63f2df-3ba5-4c7c-89ae-b028889fa2d2 · outbound

This paper cites Professional drivers’ fatigue as a problem of the modern era,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Professional drivers’ fatigue as a problem of the modern era,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.072959Z

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 8ba5834e-1738-4bfc-a966-4062a512297a · outbound

This paper cites Nasal skin temperature reveals changes in arousal levels due to time on task: An experimental thermal infrared imaging study,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Nasal skin temperature reveals changes in arousal levels due to time on task: An experimental thermal infrared imaging study,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.064821Z

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.

Pith citing papers

No inbound Pith citation observations are available.