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Paper Citation Record · LEDGER

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification

As of 20 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.23822.

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

pith.paper-citation-record.v1
2607.23822 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:22:20.326945Z

measured 53 of 53 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

53 of 53 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f3a4f23-c469-41ac-b812-9e5444e61512 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 1

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Observation df9c29ea-740c-4773-bea7-64332616c0b6 · outbound

This paper cites Qwen3-VL Technical Report.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Qwen3-VL Technical Report

Reference 2

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Observation f8058e34-6686-453f-aa99-82da1ac99974 · outbound

This paper cites nuScenes: A multimodal dataset for autonomous driving.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification nuScenes: A multimodal dataset for autonomous driving

Reference 3

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Observation dc0ecec6-9343-4235-b90f-d60cc40e3f4e · outbound

This paper cites TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

Reference 4

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Observation 900a6b77-e493-47df-afc0-abf1c5ec5cb1 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-30T11:22:18.461925Z digest=sha256:119b9ef769a6e58dd4db6f0afd6bd313d8c0b41a694c67cf22c26c1747afaba4

Observation 61d54bf2-ee25-436c-9609-a0f161d38542 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 6

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Observation 56b6ae34-95ef-470d-99bc-803c51953cb7 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 7

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source=pdf_text observed=2026-07-30T11:22:18.632763Z digest=sha256:aa066fafcad8df3f86c79b98812756127813716b7de523a16442f7a6ce76204c

Observation a5370519-5558-4186-af2c-6d70f6f1a837 · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Reference 8

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source=pdf_text observed=2026-07-30T11:22:18.672690Z digest=sha256:4f1f13267f56e85cc29a4c471a735653f31c47d6ed1e6e7320aa1460131d9e02

Observation 72a2b00a-c8d8-4cc6-8179-ae2c78d8f6ec · outbound

This paper cites Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving

Reference 9

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source=pdf_text observed=2026-07-30T11:22:18.753298Z digest=sha256:d41daf82ad06e65c32490e0b9bd7f46f1a10004e8bf15cb8c3db893db34a8a48

Observation 4044bc00-ed8b-400e-bd38-94ca8c2c75c4 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 10

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source=pdf_text observed=2026-07-30T11:22:18.836411Z digest=sha256:fd69a597daaad0bcc9f62d45aba664ce999bd753a1e4b9d5f00bcd637e9b6181

Observation 0006fb81-ce5b-4b5f-9013-40f8f4244066 · outbound

This paper cites Domain-Adversarial Training of Neural Networks.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Domain-Adversarial Training of Neural Networks

Reference 11

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source=pdf_text observed=2026-07-30T11:22:18.921560Z digest=sha256:d4fb64c1273c758efe4887259c7912824df92e5e432a2e6b4a46a2709edc5191

Observation 0b7f20f2-6a1d-4394-ae60-43d0fa38a1aa · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 12

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source=pdf_text observed=2026-07-30T11:22:19.005529Z digest=sha256:6dd92eaecf23e2803f8e43316ef69aaf6d99eab6a72e3b712d4375c6bc9d0ce4

Observation e742aab3-532d-497d-a96c-d94ab80d9260 · outbound

This paper cites Wichmann.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Wichmann

Reference 13

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Observation 69b3b5c3-ecd8-46b7-98e0-921d2c85c1e1 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification MOMENT: A Family of Open Time-series Foundation Models

Reference 14

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source=pdf_text observed=2026-07-30T11:22:19.131499Z digest=sha256:76d94eb94e8763968f65d5d94d7e92f6422c587e8e31b9016a797871a6a7ebea

Observation 4d1b98a4-7095-49ab-a779-7b2b2db847c6 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 15

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source=pdf_text observed=2026-07-30T11:22:19.204730Z digest=sha256:1fd7ebf39b6d153739d978ad3fe021ae0efb046a916be16a936f1aa7c9d81f10

Observation 7e996798-8da5-49ed-b99e-047fdc7cff27 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 16

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source=pdf_text observed=2026-07-30T11:22:19.274112Z digest=sha256:d8a2f0b8d720f1dec61e5e3d41376dd9458039f98e2204bf8c7c0e3586b30c52

Observation 447db972-c855-481c-b65d-5d0037fe545a · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 17

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source=pdf_text observed=2026-07-30T11:22:19.326969Z digest=sha256:74f10ae778c083c0a25ed1d46f58242536d98e39b7af65e633e778980cf88440

Observation b3c5a685-ee68-4209-a052-04a2390b2d14 · outbound

This paper cites Itkonen, Esko Lehtonen, and Selpi.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Itkonen, Esko Lehtonen, and Selpi

Reference 18

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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 f0b0a040-49ab-4738-963d-b481848e08b7 · outbound

This paper cites Supervised Contrastive Learning.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Supervised Contrastive Learning

Reference 19

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Observation 7e61cf59-8d66-4ad9-8a6e-df02016ba890 · outbound

This paper cites The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems

Reference 20

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source=pdf_text observed=2026-07-30T11:22:19.520785Z digest=sha256:ec0031bb77f4e26ccac058ef09c2474766b7d4c31f6e7fa3144a53782589e3b9

Observation 8e70ec92-132d-4f5a-ae51-ec6f09fbba01 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 21

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source=pdf_text observed=2026-07-30T11:22:19.631961Z digest=sha256:594703cd17b189c18af2f5497a84ee40b2a55d69f901341ca11db08f95f8808e

Observation 9aeb41dc-7edf-45c4-9248-fe3a7c7649f5 · outbound

This paper cites Barth, and Guoyuan Wu.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Barth, and Guoyuan Wu

Reference 22

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source=pdf_text observed=2026-07-30T11:22:20.002087Z digest=sha256:9b1522c3e078a9d02d7053ba503e0c7b7d3b0bf014f22ac3683f8044a6ca7bd5

Observation 5032b51b-2be2-4f02-ba01-4d17e4134a4c · outbound

This paper cites Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Jiaqi Ma, and Guoyuan Wu.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Jiaqi Ma, and Guoyuan Wu

Reference 23

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Observation 963ae3c3-33d4-4453-9106-658d4b914c49 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 24

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source=pdf_text observed=2026-07-30T11:22:20.171359Z digest=sha256:58b536f7d157887c49c758c47bd1ac5c9b7609ed7c7175fd88e90121103e3eb8

Observation 143634f4-782d-48c9-989b-92e846b45d7f · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 25

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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 b242fe30-b355-462b-8e83-1142020198c9 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 26

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source=pdf_text observed=2026-07-30T11:22:20.182878Z digest=sha256:0e4e710595ee57ed16ca54b4b6031a2da3d8e7d5325a950881e050995f156341

Observation ab18c817-21db-481d-a29d-e235482a8535 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification DINOv2: Learning Robust Visual Features without Supervision

Reference 27

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source=pdf_text observed=2026-07-30T11:22:20.187761Z digest=sha256:a377125e3793aac4288d1ad915bfbb320b0b0aa2347ed7ff7ac557b5a8fc51ab

Observation 5b9b8dc9-f65f-45fe-856d-f7adee50b1e3 · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification FiLM: Visual Reasoning with a General Conditioning Layer

Reference 28

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source=pdf_text observed=2026-07-30T11:22:20.192222Z digest=sha256:9d10b5030eb32aa2266fc545358888da36e1ee3c09b6fa8e819fc01bef2ae0cd

Observation 7cbb7140-e861-436c-b4cf-eb017ce055af · outbound

This paper cites PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models

Reference 29

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Observation 96443f98-b1f5-4ba5-bef8-a743bb337c56 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 30

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Observation 64eabe40-6ccc-40a5-97b4-8c3711ae4650 · outbound

This paper cites Automatic Driver Identification from In-Vehicle Network Logs.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Automatic Driver Identification from In-Vehicle Network Logs

Reference 31

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source=pdf_text observed=2026-07-30T11:22:20.206728Z digest=sha256:c03704d95ea4a792ac5e6a86808c99c814224b41bebde5c77e6d726c3bb729d7

Observation 6a7102b6-d645-4870-95df-751d82b642b7 · outbound

This paper cites Bianchi Piccinini, and Johan Engström.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Bianchi Piccinini, and Johan Engström

Reference 32

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

source=pdf_text observed=2026-07-30T11:22:20.212742Z digest=sha256:8b332c11127e093bb9a77387ee4c7a448c4a953d66e2e49e668406238bc311cb

Observation d1982460-0370-47ab-acdd-f097e595ae6f · outbound

This paper cites A Commute in Data: The comma2k19 Dataset.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification A Commute in Data: The comma2k19 Dataset

Reference 33

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source=pdf_text observed=2026-07-30T11:22:20.218696Z digest=sha256:55a7399da0663f2809519cfadef156367d6a29a49a4079c809722503a4f3402f

Observation 33c232bb-22e4-485f-9024-b6c2cc827f12 · outbound

This paper cites DINOv3.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification DINOv3

Reference 34

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source=pdf_text observed=2026-07-30T11:22:20.223605Z digest=sha256:643fd26772877e1566de6445f625066bf0056ac0526ce47e35e93f4795cfcfca

Observation 1c54d480-09ec-4ed4-a43b-982dbb6d7d43 · outbound

This paper cites Prototypical Networks for Few-shot Learning.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Prototypical Networks for Few-shot Learning

Reference 35

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Observation e63044d5-2b2e-46d3-adbb-87981d1e4414 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 36

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source=pdf_text observed=2026-07-30T11:22:20.233341Z digest=sha256:46273cc70a2b47c583cb7c54e9b3fab69eb2396641aea1affd961f818f28d484

Observation 62e3f909-046f-48c7-a116-3828e6723807 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:22:20.243466Z digest=sha256:427d20442b5e3112d605799ea128312b10b4809cad9dbe2dd60c324e13d71421

Observation 58f4ada8-2cc1-41e3-81f4-f00d0af6aa2b · outbound

This paper cites Tselentis and Eleonora Papadimitriou.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Tselentis and Eleonora Papadimitriou

Reference 38

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no resolver link, observed 2026-07-30T11:22:20.248983Z

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source=pdf_text observed=2026-07-30T11:22:20.248983Z digest=sha256:8175b92ab38b21f8bb8d5a990478b3b8d99ccd3ea7bcac2337d2ec68a47ca70b

Observation 1788cb3f-457f-4cac-9d9f-2ec98b97d23e · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 39

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no resolver link, observed 2026-07-30T11:22:20.254818Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.254818Z digest=sha256:aab1f8017d023447647d763d8a7bf3efc2e1ba139edfa1992770d0113d87a8c0

Observation 34baecc6-7fd5-4b73-ad53-7e9707d33cc4 · outbound

This paper cites PDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification PDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior

Reference 40

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no resolver link, observed 2026-07-30T11:22:20.260709Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.260709Z digest=sha256:7b6e44799e1a3edc6dd25aa1c85b86f592fa573ea8372b89e9ce9b77f9f79cea

Observation 10ce1864-e91d-4ab2-8822-a4307789aae2 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 41

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malformed identifier
no resolver link, observed 2026-07-30T11:22:20.268630Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.268630Z digest=sha256:d127d232555f93fd7985c6852377883b96a77b6b42aa9007e20d3a406c518ee8

Observation fcff7fb6-8d98-4e1d-ac6a-03f1dd4ed036 · outbound

This paper cites PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification PDB-Eval: An Evaluation of Large Multimodal Models for Description and Explanation of Personalized Driving Behavior

Reference 42

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no resolver link, observed 2026-07-30T11:22:20.275538Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.275538Z digest=sha256:058994b8a26a417d5f305699b26efbb524eb62ccad0b0d2ce32cad268f51152b

Observation df760fc8-10e4-4140-827c-a1fe871e9a62 · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 43

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no resolver link, observed 2026-07-30T11:22:20.281350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:22:20.281350Z digest=sha256:31005a171fd562ee702b341bb23db2ba48799d5c069f0c490b2069a922538725

Observation 61293498-d194-4ad4-af57-d58583255ae5 · outbound

This paper cites Driver2vec: Driver Identification from Automotive Data.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Driver2vec: Driver Identification from Automotive Data

Reference 44

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no resolver link, observed 2026-07-30T11:22:20.287644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:22:20.287644Z digest=sha256:c6e6396121d892c191be4472fe39406697b4f3833b3e20e54a56598a45880b2d

Observation a6d9bc94-f873-4417-9075-97662971cae4 · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 45

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unresolved
no resolver link, observed 2026-07-30T11:22:20.292606Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.292606Z digest=sha256:01792026ec8797d8dc2c83792599ebe39090e810241d599ba48b205cd6238380

Observation 371c752b-b7e5-4378-8c89-91c5c4317ddd · outbound

This paper cites TS2Vec: Towards Universal Representation of Time Series.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification TS2Vec: Towards Universal Representation of Time Series

Reference 46

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no resolver link, observed 2026-07-30T11:22:20.297746Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.297746Z digest=sha256:f73d3bc9bef7d103f5d258c2ef52967c3448285172f548cd6d2b92f6bbc8fc33

Observation 1312b1b5-f923-4789-8763-1826b4da9e3f · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 49

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no resolver link, observed 2026-07-30T11:22:20.304724Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.304724Z digest=sha256:939d39102b2bba43db5af82ce75616c04caaf0b7febde50e38c514ff9816c6eb

Observation a49aab67-4975-43e1-b8fe-8d565b1a036d · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 50

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no resolver link, observed 2026-07-30T11:22:20.309596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:22:20.309596Z digest=sha256:c8b544d0454f09d48b787c0c5b808d5d615e74f7d3c0638dfb920aa98b1cd248

Observation 869bdd25-5be0-4eec-a882-e6a96ec882eb · outbound

This paper cites an unresolved cited work.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Unresolved cited work

Reference 51

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no resolver link, observed 2026-07-30T11:22:20.316283Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.316283Z digest=sha256:f828e649555cda01ed3295fc92c312317eef956db3f1994eae53cb34bb4e0cea

Observation 90a0d8f7-998a-4e75-b613-6c5fe40edc1d · outbound

This paper cites V-JEPA 2 (temporal); CLIP-style alignment; VLM attributes Appearance, motion, and semantic scene features.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification V-JEPA 2 (temporal); CLIP-style alignment; VLM attributes Appearance, motion, and semantic scene features

Reference 52

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no resolver link, observed 2026-07-30T11:22:20.321864Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.321864Z digest=sha256:116653410c89577312b4db5692516d26a444a8ab3706c7005eccba08ea4682d7

Observation 5c9d1d76-364b-4529-9378-47d7ecf5be1f · outbound

This paper cites will a hard-braking or sharp-steering event begin within 5 s?.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification will a hard-braking or sharp-steering event begin within 5 s?

Reference 53

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no resolver link, observed 2026-07-30T11:22:20.326945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T11:22:20.326945Z digest=sha256:967b84906a9918dba7e7852449fa6da330a9065569b43246d09e81b61865900a

Observation cfa92908-57e4-417c-932b-78237250984c · outbound

This paper cites In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 2020

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no resolver link, observed 2026-07-30T11:22:20.237829Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-30T11:22:20.237829Z digest=sha256:8394d70b575723c725e45aa0b10e34c7cb9568808077e03f17b4c9602f268615

Observation d168f9de-ee46-4e9f-b82b-2293bf637559 · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2025

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no resolver link, observed 2026-07-30T11:22:19.792942Z

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source=pdf_text observed=2026-07-30T11:22:19.792942Z digest=sha256:5881971c7d0061b1a282d49247249d94fe20bb411f453623807cdd37e5417060

Pith citing papers

No inbound Pith citation observations are available.