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Paper Citation Record · LEDGER

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

As of 6 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 2026-08-06T06:34:29.942622+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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source=pdf_text observed=2026-07-30T11:22:18.146428Z digest=sha256:e13ec63648d8d81f40c6fe2f136099635a17cd98bb913d81221d119d3c858e86

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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source=pdf_text observed=2026-07-30T11:22:18.360629Z digest=sha256:8b570e1bda081ebd27307a9e1952ae6ea57f3e84a618285809e82e25402498f7

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:a5c032210159663bd02c5654c88c2773bdfac3c1f37e5577a3c8195c858c8754

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=sha256:537089aa2cf6c4d2b3201da3cc2a55583dfccda150442e0a7a50e80fcfbdbf18

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:f64ef3b81c5522ea877ee38ddb5f5d90118e8741b0a0c697bf238499dbb57684

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=sha256:12ccb3a80d81f7e9887024f98e1840a852b96515f465dbe16b4b1b81d9759ece

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:f72b129a15212882b35d8c2381e1f0515147fd2de83320f4d6cec44a854635c5

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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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:d6ef6b05d3658aedd0d2de97bb5e7677fe2b14b856999009b7cdf87b67dd3dc5

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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source=pdf_text observed=2026-07-30T11:22:19.044107Z digest=sha256:4d757fec7de32120aa884737929113d9dbfee94f19887e1fc75e5f39c11ab0f0

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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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=sha256:69dc6aad3daf418c9d89fcc1369dffbb2bf3469e7c99a5a7b72783ecc566bfeb

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=sha256:78fce4d43be0516c0c2b321972ccf805ecb6647ba4c5a4b04abe708f7edcfb32

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:c679715d9d7917b9a74ef1a0b764eda6c6fa380cf05374719f9dc06b5a681806

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 2026-08-06T06:34:29.942622+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=sha256:4b52bf0842aeca49f41b894c28bae844da1f1151fcea9b25b87542ca3e32e414

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=sha256:74013d8f814c8f48b1b79a77b651e2d9a9ac2dd832b5049d8c4d4b685696dc67

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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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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source=pdf_text observed=2026-07-30T11:22:20.165766Z digest=sha256:f3f18a5f69e86e9f2e6d68de7f507e9609d71a5bc255c890cfc5a6811df78245

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:ab27d1a9801bb73df15e4ecd695ee3b65aaac1fd2b51e267ff01f5fba4f8fd2d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-30T11:22:20.176770Z digest=sha256:944c123349272c9191bad5e363bf50169ed41977b4a1bbb5a373bb4c59516ca6

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:a3572e366aa9375648ba81d3de5dbbe5d6dda5afffde6ad148493535b6262cca

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:c0d700bf29327567a6f07102af08f974f6454b965d5b3e79d537d998e9e120c1

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=sha256:1eff50cd7e8268d0a46b4d51e32fe1320180afd105ecfa28b5382f7e1c9ab5fb

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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source=pdf_text observed=2026-07-30T11:22:20.201719Z digest=sha256:bc8f8a358e229d7a6e76508e5ddbe5fc7e323239f91bc49f18a9bec9a1abc77c

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=sha256:9363f2a414fe337a9e466003a57a9358510af33544e053aee51c44f051aca9d3

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-30T11:22:20.212742Z digest=sha256:e87e55ae04743a0d6e4c85382216ff71c362bdbfb33516f1bc6e1975b45003e6

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=sha256:3a82a1a240a26bdc3c3cc85da2add6444410da7e868f8c5c1ea5a9b0852fb1b7

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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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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source=pdf_text observed=2026-07-30T11:22:20.228579Z digest=sha256:61b1feeab19ca0d75a46d88d0c77a2d0bd9a0088025fcd887d31febd6508e886

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:e968fde46833838b9bbf872c3415ddaee1f2096469eab8af470c35d56816afee

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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no resolver link, observed 2026-07-30T11:22:20.243466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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:ccba2ef37388449d6dd921076dc7eb0cf88803a43f69ce4feb0be7f9d9ae8213

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:a4a64f67a0eed9285e9dbd1be1f41ad27254f6ecedee4f1ac4c7c663e29ad672

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

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source=pdf_text observed=2026-07-30T11:22:20.260709Z digest=sha256:ec9403bf40d77afee34515194b78eeb4e09c28f5f10077735410ca485b97ec09

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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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=sha256:3484bd68c542bff498d0b81ed6be3371379f26e189cc160f654899fd7d606825

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:f7d40565a0f8e1cc5932d151691e0b961a346ee3c06ea386324d2f247654fa99

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

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source=pdf_text observed=2026-07-30T11:22:20.281350Z digest=sha256:a69225cd15a21fb241e7944ec843e08b55ed9ad041be7b8f8b1ced94debb12bc

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:a2d9a98d1657fa534992afccf65fce1b3d8b6cc75c868c0a9c8d1bf193cf7db8

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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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=sha256:36dbb3821fe4c286bf6ba6e5ae739c9fbbc2044a7805e9fc5fbaa1f43cd8a13b

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=sha256:5cadd6c2086a96f7fde319c09c22c96f56c2e2c4b3f3150051f912c4fcf8a243

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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source=pdf_text observed=2026-07-30T11:22:20.304724Z digest=sha256:6f2936d60fd02e5faa4784b03acfb3297ccd07514b4a1127b87c02d5418370c4

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

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source=pdf_text observed=2026-07-30T11:22:20.309596Z digest=sha256:df5c651fc91bc8db1aa818a9df744887cd184eff27c914e9653cb718ce9eee47

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

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source=pdf_text observed=2026-07-30T11:22:20.316283Z digest=sha256:3e2df9291e419ee99f60715b651c3ea98cd2c67cbcd334b5825e15573ea3de89

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

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source=pdf_text observed=2026-07-30T11:22:20.321864Z digest=sha256:c661f135b05a06b8b96401d349fa70df01ecec04c0ec72369c0dadea0aae327d

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

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source=pdf_text observed=2026-07-30T11:22:20.326945Z digest=sha256:ead1fa81709578090ffcb20d590c49d7cfea70c239be6b2e2272e66217a49cdd

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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source=pdf_text observed=2026-07-30T11:22:20.237829Z digest=sha256:4f3c26918ec4e9b37db6e50c50cbc625fbebd2882e3baa8be98a794bdb0599b6

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=sha256:96769cb5c1811d2f861773997d55db766cf21cb04247f6d3454e64e9aee95ce8

Pith citing papers

No inbound Pith citation observations are available.