Paper Citation Record · LEDGER

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.07014.

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

pith.paper-citation-record.v1
2506.07014 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:48:52.363965Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact17
verified fuzzy3
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8066d4a3-f92d-4b38-8a11-562a030d1cb9 · outbound

This paper cites Catastrophes, sleep, and public policy: consensus report,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Catastrophes, sleep, and public policy: consensus report,

Reference 1

Resolution: verified exact; doi, observed 2026-08-07T05:48:56.141444Z

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 d719dd74-d2db-4600-8a3e-e88b7dd7b2cf · outbound

This paper cites A Review of Recent Developments in Driver Drowsiness Detection Sys- tems,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection A Review of Recent Developments in Driver Drowsiness Detection Sys- tems,

Reference 2

Resolution: verified exact; doi, observed 2026-08-07T05:48:55.995539Z

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 199d4b03-6a55-4b82-84cc-25e78622a160 · outbound

This paper cites Challenges of Driver Drowsiness Prediction: The Remain- ing Steps to Implementation,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Challenges of Driver Drowsiness Prediction: The Remain- ing Steps to Implementation,

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:48:58.071126Z

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 473290af-efea-4b3c-837b-7ad0b9ad87e7 · outbound

This paper cites Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection,

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T05:48:55.813375Z

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 cdeb2322-34ae-4f9a-bc72-85d7eebf5966 · outbound

This paper cites Detecting Driver’s Drowsi- ness Using Multiwavelet Packet Energy Spectrum,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Detecting Driver’s Drowsi- ness Using Multiwavelet Packet Energy Spectrum,

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:48:57.739566Z

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 982980f4-78b6-47b0-bc9c-aabe3b659859 · outbound

This paper cites Driver Distraction Detection Based on Vehicle Dynamics Using Nat- uralistic Driving Data,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Driver Distraction Detection Based on Vehicle Dynamics Using Nat- uralistic Driving Data,

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:48:57.425453Z

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 3a21f373-baff-4816-8e68-0c844f53a71e · outbound

This paper cites Leakage and the Repro- ducibility Crisis in Machine-Learning-Based Science.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Leakage and the Repro- ducibility Crisis in Machine-Learning-Based Science

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:49.779598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18231d51-268a-4a54-8a76-5c859df139f3 · outbound

This paper cites PPB-Emo: A Multimodal Psychological, Physiological and Behavioural Dataset for Human Emotions in Driving Tasks,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection PPB-Emo: A Multimodal Psychological, Physiological and Behavioural Dataset for Human Emotions in Driving Tasks,

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T05:48:55.567362Z

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 c9293a99-b709-4c60-a254-f738cc49efd0 · outbound

This paper cites Dataset‘FULL’forDrowsi- ness Detection in Drivers,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Dataset‘FULL’forDrowsi- ness Detection in Drivers,

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T05:48:55.279156Z

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 239ae2c1-4bee-4217-97c6-fcf7ed61e9d1 · outbound

This paper cites ApplyingDeepNeuralNetworksfor Multi-Level Classification of Driver Drowsiness Using Vehicle- Based Measures,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection ApplyingDeepNeuralNetworksfor Multi-Level Classification of Driver Drowsiness Using Vehicle- Based Measures,

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:48:57.082019Z

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 2e65adf9-7bfe-408f-80b6-3a30b78cd9c5 · outbound

This paper cites Multi-modal Data Acquisition Platform for Behavioral Evaluation,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Multi-modal Data Acquisition Platform for Behavioral Evaluation,

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T05:48:55.022766Z

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 c52d8b6f-2185-4349-9a52-93371e215acb · outbound

This paper cites Young Novice Drivers’ Cognitive Distraction Detection: Comparing Support Vector Machines and Random Forest Model of Vehicle Control Be- havior,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Young Novice Drivers’ Cognitive Distraction Detection: Comparing Support Vector Machines and Random Forest Model of Vehicle Control Be- havior,

Reference 12

Resolution: verified exact; doi, observed 2026-08-07T05:48:54.732633Z

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 738f732e-9499-4406-b415-adfbc29cb817 · outbound

This paper cites Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety,

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T05:48:54.452614Z

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 ac6a2f8f-76cd-4016-a140-ee49b1b61bae · outbound

This paper cites SteeringWheelBehaviorBasedEstimationofFatigue,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection SteeringWheelBehaviorBasedEstimationofFatigue,

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T05:48:54.202412Z

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 217a80d0-9c11-4424-ac9b-5ba1723c2fbd · outbound

This paper cites Evaluation of a Smart Algorithm for Commercial Vehicle Driver Drowsiness De- tection,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Evaluation of a Smart Algorithm for Commercial Vehicle Driver Drowsiness De- tection,

Reference 15

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:48:56.834917Z

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 a2831123-dd7b-4085-8a2c-426f4c3c69f5 · outbound

This paper cites Steering in a Random Forest: Ensemble Learn- ing for Detecting Drowsiness-Related Lane Departures,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Steering in a Random Forest: Ensemble Learn- ing for Detecting Drowsiness-Related Lane Departures,

Reference 16

Resolution: verified exact; doi, observed 2026-08-07T05:48:54.056109Z

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 15c7fdc8-2a28-4af7-9f1a-ffd821541672 · outbound

This paper cites Real- Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Real- Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:48:58.878694Z

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 943ed8de-936b-44cb-a4fd-afc47dbcd645 · outbound

This paper cites OnlineDetectionof Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection OnlineDetectionof Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions,

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T05:48:53.796234Z

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 6c308f55-60c9-4bda-885b-8458e459e3e0 · outbound

This paper cites Particle Swarm Optimization of Feedforward Neural Networks for the Detection of Drowsy Driving,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Particle Swarm Optimization of Feedforward Neural Networks for the Detection of Drowsy Driving,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:48:58.605861Z

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 8058cf7b-d9db-4152-94b6-4b8f9e647adc · outbound

This paper cites Drowsiness Monitoring Based on Steering Wheel Status,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Drowsiness Monitoring Based on Steering Wheel Status,

Reference 20

Resolution: verified exact; doi, observed 2026-08-07T05:48:53.587188Z

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 93ffc319-0fc6-41f5-9a9d-b0aabc0fda1a · outbound

This paper cites Driver Cognitive Distraction Detection Using Driving Performance Measures,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Driver Cognitive Distraction Detection Using Driving Performance Measures,

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T05:48:53.323925Z

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 3829d105-4849-47f8-83d0-e91a91277137 · outbound

This paper cites Estimating alertness from the EEG power spectrum,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Estimating alertness from the EEG power spectrum,

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T05:48:53.040480Z

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 f3ee2310-afc0-4049-857a-ca31608e4dce · outbound

This paper cites Awareness of sleepiness when driving,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Awareness of sleepiness when driving,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:48:58.337330Z

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 01a9438a-6a3c-4509-86c8-6b53552712db · outbound

This paper cites Using EEG spectral components to assess algorithms for detecting fatigue [Part 1],.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Using EEG spectral components to assess algorithms for detecting fatigue [Part 1],

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T05:48:52.834223Z

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 49dc235e-1249-43a7-815e-644d8e8d224f · outbound

This paper cites Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Estimating Systemic Cognitive States from a Mixture of Physiological and Brain Signals,

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T05:48:52.634745Z

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 8f71adb6-ec32-489b-bf66-44b4fb50698c · outbound

This paper cites Random Forests,.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Random Forests,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:52.363965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6d01d9a-f1b6-4d5a-bb45-d8017ce80635 · outbound

This paper cites an unresolved cited work.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Unresolved cited work

Reference 2004

Resolution: verified exact; raw_fallback, observed 2026-08-07T05:48:56.366644Z

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 557b586e-5c9e-43f8-8759-1f5bf0405c38 · outbound

This paper cites an unresolved cited work.

Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection Unresolved cited work

Reference 2008

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:48:56.585806Z

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.