Paper Citation Record · LEDGER

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2507.21814.

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

pith.paper-citation-record.v1
2507.21814 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:26:54.607052Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:55:30.816224Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-10T23:40:54.013623Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy29
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a64f8fd-d405-46cc-bbb3-d24a1a12d9a8 · outbound

This paper cites Autonomous driving system: A comprehensive survey,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Autonomous driving system: A comprehensive survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.822738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fbb7a5e-70fd-4fb5-a73b-a3fdf616057a · outbound

This paper cites Milestones in autonomous driving and intelligent vehicles—part i: Control, computing system design, communication, hd map, testing, and human behaviors,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Milestones in autonomous driving and intelligent vehicles—part i: Control, computing system design, communication, hd map, testing, and human behaviors,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.778574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 396f9caa-3d3e-40a5-b865-e0d2b32f269c · outbound

This paper cites Toward human-vehicle collaboration: Review and perspectives on human-centered col- laborative automated driving,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Toward human-vehicle collaboration: Review and perspectives on human-centered col- laborative automated driving,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.726071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97bc01b8-4491-4bf1-9ca0-ef2c4b4c5bda · outbound

This paper cites Towards learning-based planning: The nuplan benchmark for real-world autonomous driving,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Towards learning-based planning: The nuplan benchmark for real-world autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.692225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8deea9e-c898-4655-a3d5-9cedd164e422 · outbound

This paper cites One thousand and one hours: Self-driving motion prediction dataset,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity One thousand and one hours: Self-driving motion prediction dataset,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T12:26:54.202921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 316d071d-bc1e-470e-a188-7e79513ee511 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.622377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4425309-68a8-40de-b9f6-6826a21a0b99 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity nuscenes: A multimodal dataset for autonomous driving,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T12:26:54.239565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff7178c4-28b6-44dd-9046-babf50312f52 · outbound

This paper cites Scenecontrol: Diffusion for controllable traffic scene generation,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Scenecontrol: Diffusion for controllable traffic scene generation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.553160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa009597-d861-4bb4-a9fd-eaf5c1e13b15 · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driving,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Transfuser: Imitation with transformer-based sensor fusion for autonomous driving,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T12:26:54.272742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bd4789a-1ae3-489b-a4ce-b9154c564927 · outbound

This paper cites Parting with misconceptions about learning-based vehicle motion planning,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Parting with misconceptions about learning-based vehicle motion planning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.478008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0316013-42bb-485e-8dcf-332f33616105 · outbound

This paper cites A survey on automated driving system testing: Landscapes and trends,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity A survey on automated driving system testing: Landscapes and trends,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.407426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c4dfad9-f942-4797-85a8-2eb3bacf99ba · outbound

This paper cites Testing of autonomous driving systems: where are we and where should we go?.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Testing of autonomous driving systems: where are we and where should we go?

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.362999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 931693da-2139-4904-8b8b-969a5f7e5813 · outbound

This paper cites Specification-based autonomous driving system testing,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Specification-based autonomous driving system testing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.322370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd77ea71-2728-4ac2-b5cb-5b364f08d029 · outbound

This paper cites Target: Traffic rule-based test generation for autonomous driving systems,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Target: Traffic rule-based test generation for autonomous driving systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.254368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f653cf5-5967-48e3-b647-13c496110dfc · outbound

This paper cites Causality-driven testing of autonomous driving systems,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Causality-driven testing of autonomous driving systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.208878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7a5d769-d2ec-4d0f-85f4-7107f47230af · outbound

This paper cites Parameter coverage for testing of autonomous driving systems under uncertainty,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Parameter coverage for testing of autonomous driving systems under uncertainty,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.170682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd8914bb-b062-41b3-a9af-49e84b456f5d · outbound

This paper cites Uncertainty-aware decision-making for autonomous driving at uncontrolled intersections,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Uncertainty-aware decision-making for autonomous driving at uncontrolled intersections,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.123490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f6c285f-4d07-42c1-ba9b-f8928ee024c4 · outbound

This paper cites Towards robust autonomous driving systems through adversarial test set generation,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Towards robust autonomous driving systems through adversarial test set generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.077560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8c8575a-4f90-4e48-9840-65c7a1916d17 · outbound

This paper cites Deepmaneuver: Adver- sarial test generation for trajectory manipulation of autonomous vehicles,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Deepmaneuver: Adver- sarial test generation for trajectory manipulation of autonomous vehicles,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:56.021869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2222269-f509-4b6d-ab6a-649e832be90f · outbound

This paper cites Accelerated testing and evaluation for black-box autonomous driving systems via adaptive markov chain monte carlo,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Accelerated testing and evaluation for black-box autonomous driving systems via adaptive markov chain monte carlo,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.979783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef67a9c6-888a-44b0-ba45-134c1febec01 · outbound

This paper cites Explainable deep adversarial reinforce- ment learning approach for robust autonomous driving,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Explainable deep adversarial reinforce- ment learning approach for robust autonomous driving,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.951558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f242f049-2280-434f-88e7-7ff038877c07 · outbound

This paper cites Deep learn- ing adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Deep learn- ing adversarial attacks and defenses in autonomous vehicles: a systematic literature review from a safety perspective,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.900496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84ded99d-bafe-4402-84cd-539d701fac26 · outbound

This paper cites Behavexplor: Behavior diversity guided testing for autonomous driving systems,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Behavexplor: Behavior diversity guided testing for autonomous driving systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.857461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ce7de1c-8890-4ab8-a68f-4e1aa7973611 · outbound

This paper cites Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T12:26:54.468407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9280964-a6af-415d-992b-28aa7b006199 · outbound

This paper cites Event-triggered parallel control us- ing deep reinforcement learning with application to comfortable autonomous driving,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Event-triggered parallel control us- ing deep reinforcement learning with application to comfortable autonomous driving,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.828071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a335af19-1d32-4824-80f5-0f312d497d50 · outbound

This paper cites A survey on recent advancements in autonomous driving using deep reinforcement learning: Applications, challenges, and solutions,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity A survey on recent advancements in autonomous driving using deep reinforcement learning: Applications, challenges, and solutions,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.793561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1005518d-1579-40ab-9cb7-9b2994548c5b · outbound

This paper cites Adversarial stress test for autonomous vehicle via series reinforcement learn- 15 ing tasks with reward shaping,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Adversarial stress test for autonomous vehicle via series reinforcement learn- 15 ing tasks with reward shaping,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.752956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83cbe283-e201-463c-8d2a-b806546a2cf9 · outbound

This paper cites Reinforcement learning for online testing of au- tonomous driving systems: a replication and extension study,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Reinforcement learning for online testing of au- tonomous driving systems: a replication and extension study,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.651051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee6a82f2-efeb-4f8c-8ecc-3bd7927ce2ec · outbound

This paper cites Adaptive testing environment generation for connected and automated vehicles with dense reinforcement learning,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Adaptive testing environment generation for connected and automated vehicles with dense reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.568171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1de5448d-eea8-42f0-a81d-21ebfdae8017 · outbound

This paper cites Challenger: Affordable Adversarial Driving Video Generation.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Challenger: Affordable Adversarial Driving Video Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T12:26:54.530417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b075b4-c1d8-40cd-9f73-e80656631827 · outbound

This paper cites SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:26:54.918890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34e1a993-73a8-40cc-9f7b-b799bbedb427 · outbound

This paper cites Partially observable markov decision processes,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Partially observable markov decision processes,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.513645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9130e7f2-bc75-4af0-a84a-d42c7bb17d55 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Proximal Policy Optimization Algorithms

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T12:26:54.565968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65dfb5e8-96aa-4325-b05e-e5297172c6df · outbound

This paper cites An environment for autonomous driving decision-making,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity An environment for autonomous driving decision-making,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.451011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4135690-55a6-41ec-9837-08f3a2dc3635 · outbound

This paper cites Adversarial testing with reinforcement learning: A case study on autonomous driving,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Adversarial testing with reinforcement learning: A case study on autonomous driving,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.412988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f675e602-8958-42a9-9de0-46c952cacd65 · outbound

This paper cites Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area,.

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:26:55.124076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 235950de-3bf7-449d-8e7f-d505665a82ba · inbound

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles cites this paper.

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:40:54.016191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b96ba639-4d8f-4ae1-a9cc-25f5c5149621 · inbound

OVPD: A Virtual-Physical Fusion Testing Dataset of OnSite Auton-omous Driving Challenge cites this paper.

OVPD: A Virtual-Physical Fusion Testing Dataset of OnSite Auton-omous Driving Challenge Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:19:46.939493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.