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Paper Citation Record · LEDGER

Human-Centered Benchmarking of Driver Monitoring Models

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.08123.

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

pith.paper-citation-record.v1
2606.08123 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:59:45.757893Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved23
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37bbab5a-a490-4e50-af12-e43c270f46e8 · outbound

This paper cites Drowsy driving in fatal crashes, united states, 2017–2021.

Human-Centered Benchmarking of Driver Monitoring Models Drowsy driving in fatal crashes, united states, 2017–2021

Reference 1

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:3ff3f768be8059c5d6742b14618f12422d8d7beb71a28dacb218a99d5abf2b85

Observation da05baea-fe2e-4374-8020-0907649163d6 · outbound

This paper cites an unresolved cited work.

Human-Centered Benchmarking of Driver Monitoring Models Unresolved cited work

Reference 2

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:810866d67de5391b38185363f1b1e21d1314c42c093748dd959d238fea6d189a

Observation b0a19cb5-47b9-4b28-83f5-fe468ddcc4cf · outbound

This paper cites Traffic safety facts: Drowsy driving.

Human-Centered Benchmarking of Driver Monitoring Models Traffic safety facts: Drowsy driving

Reference 3

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:36d2c918c619fca1251455d53134830210321b3cf62bb14bb593b125aa7c78b3

Observation a71fe6af-d73b-4cfb-86ee-4fd198fae8db · outbound

This paper cites Comprehensive assessment of artificial intelligence tools for driver monitoring and analyzing safety critical events in vehicles.Sensors, 24(8):2478, 2024.

Human-Centered Benchmarking of Driver Monitoring Models Comprehensive assessment of artificial intelligence tools for driver monitoring and analyzing safety critical events in vehicles.Sensors, 24(8):2478, 2024

Reference 4

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:d32632ee281d05079feb1edc281a659922b3ff325088dade33a72698765f9399

Observation a489454e-0c9c-405d-ac5c-a3dcdb73eb9f · outbound

This paper cites Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach.Scientific Reports, 15(1):17493, 2025.

Human-Centered Benchmarking of Driver Monitoring Models Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach.Scientific Reports, 15(1):17493, 2025

Reference 5

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:c9231081ac39fff8d70a0aabb1e57e3c249d43a33851013f728593f5251b242e

Observation 5953a927-51ac-4094-a1b9-7f1a016ff897 · outbound

This paper cites AI-and deep learning-powered driver drowsiness detection method using facial analysis.Applied Sciences, 15(3):1102, 2025.

Human-Centered Benchmarking of Driver Monitoring Models AI-and deep learning-powered driver drowsiness detection method using facial analysis.Applied Sciences, 15(3):1102, 2025

Reference 6

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:6bd9afd3244e959447c5927a33cd28247d2d41bb4fa50a66272b1cc37da4e130

Observation 25a5fdeb-a5bf-4dcc-a864-737b5982e186 · outbound

This paper cites Regulation (EU) 2019/2144 on type-approval requirements for motor vehi- cles and their trailers.

Human-Centered Benchmarking of Driver Monitoring Models Regulation (EU) 2019/2144 on type-approval requirements for motor vehi- cles and their trailers

Reference 7

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:7fae14038370aee90998bfa0c215a47811c2a8fc7382c21649a47bc821ef2ae1

Observation fa80b1b9-072b-4640-8f87-ddd733dfb929 · outbound

This paper cites an unresolved cited work.

Human-Centered Benchmarking of Driver Monitoring Models Unresolved cited work

Reference 8

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:714206a594e8cd2c9c5a6cc231bdc6eea0e68946e98195c072ad55d15b375ddb

Observation 1afe0eb0-a946-4cca-8cb1-38b9df5dbcfa · outbound

This paper cites Establishing and evaluating trustworthy ai: overview and research challenges.Frontiers in Big Data, 7, 2024.

Human-Centered Benchmarking of Driver Monitoring Models Establishing and evaluating trustworthy ai: overview and research challenges.Frontiers in Big Data, 7, 2024

Reference 9

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:83a2a2305261156eb33eccad5569f157dbaec37128033916fa8788e77d7c4621

Observation 96ff53b4-191e-4dd2-b86c-98b9e3f5d638 · outbound

This paper cites an unresolved cited work.

Human-Centered Benchmarking of Driver Monitoring Models Unresolved cited work

Reference 10

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:e0af71764868baa364e81ab9abc36acc37c69fc457663be48a0d32a9b0cb1d96

Observation 960b7f3c-70dc-4aa9-ad9c-567cad939884 · outbound

This paper cites Searching for MobileNetV3.

Human-Centered Benchmarking of Driver Monitoring Models Searching for MobileNetV3

Reference 11

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:9a22322f2ff438579baa6203c35565c6e2c74ef38dc1084928bf807f2e06475a

Observation 0435f749-d640-4916-a5d5-f97d05e2498b · outbound

This paper cites ShuffleNet V2: Practical guidelines for efficient CNN architecture design.

Human-Centered Benchmarking of Driver Monitoring Models ShuffleNet V2: Practical guidelines for efficient CNN architecture design

Reference 12

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Observation 89c92ff1-4293-4cf6-b616-48b2bf0474e3 · outbound

This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks.

Human-Centered Benchmarking of Driver Monitoring Models EfficientNet: Rethinking model scaling for convolutional neural networks

Reference 13

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:d2c3c67c54dc89ec21174fd3387faf2bab2c4efeff3c2994cc1bc5d12810f6f2

Observation fba25c48-9d8a-4a97-bc82-dd517698933b · outbound

This paper cites Training data-efficient image transformers and distillation through attention.

Human-Centered Benchmarking of Driver Monitoring Models Training data-efficient image transformers and distillation through attention

Reference 14

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:51a444280a36a50de14e10a33d9477c09dd4061f7f931f0b11b4fea4047ba26f

Observation 321c9233-b6f8-4d27-92e5-2d0c254fb118 · outbound

This paper cites Driver fatigue detection systems: A review.IEEE Transactions on Intelligent Transportation Systems, 20(6):2339–2352, 2018.

Human-Centered Benchmarking of Driver Monitoring Models Driver fatigue detection systems: A review.IEEE Transactions on Intelligent Transportation Systems, 20(6):2339–2352, 2018

Reference 15

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:84cc73af32815ad5a718d27bcd68e756424c5995300d9b2d50a6eeeb659bf575

Observation 98943a11-bb0b-4806-8130-e00c6fc51873 · outbound

This paper cites A review of recent developments in driver drowsiness detection systems.Sensors, 22(5):2069, 2022.

Human-Centered Benchmarking of Driver Monitoring Models A review of recent developments in driver drowsiness detection systems.Sensors, 22(5):2069, 2022

Reference 16

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:d583a8bf70d3697b607429d2a5675b691fcb4acbcb49fe175ccee4b1cec6372a

Observation b0ef3534-124f-4fa5-9661-4ddba285c8d6 · outbound

This paper cites A CNN-based approach for driver drowsiness detection by real-time eye state identification.

Human-Centered Benchmarking of Driver Monitoring Models A CNN-based approach for driver drowsiness detection by real-time eye state identification

Reference 17

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:a8e884bd6b375cdccd72e7350c57f272c22bc4a36352ded1977f811af15e542b

Observation 26d9819b-ca9e-4aad-8d57-21b9b726302e · outbound

This paper cites an unresolved cited work.

Human-Centered Benchmarking of Driver Monitoring Models Unresolved cited work

Reference 18

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:429c3cc21db617414472546c3d434dee98d4daa35de0fb4b3f73d3b97183277d

Observation 0c44df6b-7ba5-4e95-b329-ad3f0fc40593 · outbound

This paper cites Selvaraju et al.

Human-Centered Benchmarking of Driver Monitoring Models Selvaraju et al

Reference 19

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:79fdbc91876ff22922e9b364c4158c2cca203a3e0f73082c5be61a9bf9a91977

Observation 43063d42-07b4-46ed-8235-025d1f5d2626 · outbound

This paper cites RISE: Randomized input sampling for explanation of black-box models.

Human-Centered Benchmarking of Driver Monitoring Models RISE: Randomized input sampling for explanation of black-box models

Reference 20

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:3f3f6415b47daccf0307c4cd2396b7d112cea858fd4adc714b592a0ddba728a9

Observation 5d693e4f-fa94-4b79-9f7e-99a5ff1bafdd · outbound

This paper cites From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable AI.ACM Computing Surveys, 55(13s):295, 2023.

Human-Centered Benchmarking of Driver Monitoring Models From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable AI.ACM Computing Surveys, 55(13s):295, 2023

Reference 21

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Observation 57abd64a-5cda-4b78-bb86-fbe4556872f4 · outbound

This paper cites Decoupled weight decay regularization.

Human-Centered Benchmarking of Driver Monitoring Models Decoupled weight decay regularization

Reference 22

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:82878c3b3aaffcd2d1a16e86a4e5965758424b2e35bea887258b2cb30aad4166

Observation 6bd0fa80-ec06-45b5-bd51-bbc22910fa01 · outbound

This paper cites Captum: A unified and generic model interpretability library for PyTorch.

Human-Centered Benchmarking of Driver Monitoring Models Captum: A unified and generic model interpretability library for PyTorch

Reference 23

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arxiv_id, observed 2026-07-02T20:57:23.681709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:9d0afd94a9a16bc45d2c6c18e75cabc50679c0f564f1041f9031abfd0976be39

Observation 912d0489-204a-4faa-badc-dc33fd1f3693 · outbound

This paper cites thop: PyTorch-OpCounter.

Human-Centered Benchmarking of Driver Monitoring Models thop: PyTorch-OpCounter

Reference 24

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source=pdf_text observed=2026-06-27T19:59:45.757893Z digest=sha256:710e9a553a09cbc202d38a0e336c9ca29f0432f9f38df33160916b77c76d9b88

Observation 9ee86ad9-35cf-46f9-b8d9-14010bbec57d · outbound

This paper cites Understanding robustness of transformers for image classification.

Human-Centered Benchmarking of Driver Monitoring Models Understanding robustness of transformers for image classification

Reference 25

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Pith citing papers

No inbound Pith citation observations are available.