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Paper Citation Record · LEDGER

Generating Critical Scenarios for Testing Automated Driving Systems

As of 20 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2412.02574.

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

pith.paper-citation-record.v1
2412.02574 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:23:00.089430Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

58 of 58 outbound references displayed

  • verified exact1
  • verified fuzzy51
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abf6291e-6219-4880-b6ea-76d45aa265bf · outbound

This paper cites Autonomous vehicle market size worldwide 2021-2030,.

Generating Critical Scenarios for Testing Automated Driving Systems Autonomous vehicle market size worldwide 2021-2030,

Reference 1

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 909e76d0-c33e-42d2-aa9d-43016d9e26ad · outbound

This paper cites Google sibling Waymo launches fully autonomous ride-hailing service,.

Generating Critical Scenarios for Testing Automated Driving Systems Google sibling Waymo launches fully autonomous ride-hailing service,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 60f1c6c0-e946-4f63-ab44-4142a0d3a584 · outbound

This paper cites 60,000 Drivers Now Have Tesla Full Self Driving (FSD) — What It Is & How To Get It (Part 1),.

Generating Critical Scenarios for Testing Automated Driving Systems 60,000 Drivers Now Have Tesla Full Self Driving (FSD) — What It Is & How To Get It (Part 1),

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.793087Z digest=sha256:02fbfdb95349c49bdd513ed41a01353f1f63d51beb17ffd6542a40bfa32ee03f

Observation 54b9e1cf-b1be-433b-a081-7444f8f14bf9 · outbound

This paper cites Lgsvl simulator: A high fidelity simulator for autonomous driving,.

Generating Critical Scenarios for Testing Automated Driving Systems Lgsvl simulator: A high fidelity simulator for autonomous driving,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.798554Z digest=sha256:237882892d45ca178b8e5beb652fb80028b8126c7c787e70a9c927bf07db8b23

Observation 353edddc-4168-4cdb-9130-4b211f200a5a · outbound

This paper cites Carla: An open urban driving simulator,.

Generating Critical Scenarios for Testing Automated Driving Systems Carla: An open urban driving simulator,

Reference 5

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unresolved
no resolver link, observed 2026-08-11T23:22:59.804634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:22:59.804634Z digest=sha256:9ff67ce5c0e12323823dc3478f5a66fffe7de26832e0a1fa5338e33b22070bcd

Observation 4b3689fa-d5df-4175-a4cd-b1950ae34b15 · outbound

This paper cites Mosat: finding safety violations of autonomous driving systems using multi-objective genetic algorithm,.

Generating Critical Scenarios for Testing Automated Driving Systems Mosat: finding safety violations of autonomous driving systems using multi-objective genetic algorithm,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:01.249200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.810102Z digest=sha256:abbd90b448b9daaac8a2217fafa1a907233833afdd98ea6eff494c005334dd58

Observation 63fb9f55-6d43-4dbc-8112-1e1dc97b2e20 · outbound

This paper cites Av-fuzzer: Finding safety violations in autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Av-fuzzer: Finding safety violations in autonomous driving systems,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:01.232973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.815600Z digest=sha256:a27685939bed4eca3208d74d0a83e1e94df7103312aedf6aa8ab1ddab82da6a9

Observation 9e0ec431-2901-492c-9edc-3c370304820b · outbound

This paper cites Learning configurations of operating environment of au- tonomous vehicles to maximize their collisions,.

Generating Critical Scenarios for Testing Automated Driving Systems Learning configurations of operating environment of au- tonomous vehicles to maximize their collisions,

Reference 8

Resolution
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raw_fallback, observed 2026-08-11T23:23:01.208318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.820505Z digest=sha256:7f6efa4992275d28ecf7e6601812c209a8b86ea69e0d2c4549beaff80f0f7d72

Observation 8f70d847-db89-41f6-8b09-8c78c1635285 · outbound

This paper cites Diversity- guided search exploration for self-driving cars test genera- tion through frenet space encoding,.

Generating Critical Scenarios for Testing Automated Driving Systems Diversity- guided search exploration for self-driving cars test genera- tion through frenet space encoding,

Reference 9

Resolution
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raw_fallback, observed 2026-08-11T23:23:01.189194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.825090Z digest=sha256:f354fbf7d8ff2a5bd43f2c92e1f25c976e25a1952e0480a51f0f8857cc7afb7c

Observation e45d0ad5-3a69-451b-a3f2-f5bf822547d0 · outbound

This paper cites Auto- mated Driving Safety Evaluation Framework Ver 3.0,.

Generating Critical Scenarios for Testing Automated Driving Systems Auto- mated Driving Safety Evaluation Framework Ver 3.0,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:01.162029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.829797Z digest=sha256:d42aa4ef9e316812a4cb8ce536db02f90b2ceecdb9d5b55f7d8bc0489ee1ba1f

Observation 40b673af-11b7-4344-bf62-d4a00eb6ee5d · outbound

This paper cites Generating critical scenarios for testing automated driving systems.

Generating Critical Scenarios for Testing Automated Driving Systems Generating critical scenarios for testing automated driving systems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:01.130729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.834538Z digest=sha256:1c15522969447dbd3ee7d6357ab9c85bd851b39d64ce3027762b8686c36f27b4

Observation 42f4954e-fcfc-4da1-b65a-9621a680b99d · outbound

This paper cites Generating avoidable collision scenarios for testing autonomous driving sys- tems,.

Generating Critical Scenarios for Testing Automated Driving Systems Generating avoidable collision scenarios for testing autonomous driving sys- tems,

Reference 12

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raw_fallback, observed 2026-08-11T23:23:01.107766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.839588Z digest=sha256:7a3a1126ca30000309cf4dc419021dfea39d779cfc011bb8bfc1f7ba4929703c

Observation 62dd2d69-ab22-4284-9e24-85f72c826baf · outbound

This paper cites Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review.

Generating Critical Scenarios for Testing Automated Driving Systems Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T23:22:59.844254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:22:59.844254Z digest=sha256:057195a23fda01611b17cdfd35e6e17eb0b52d5ea1d2938f59b74b76df55032d

Observation 1c6f854f-877e-4239-bec6-e2124efc70f9 · outbound

This paper cites Defining and substantiating the terms scene, situation, and sce- nario for automated driving,.

Generating Critical Scenarios for Testing Automated Driving Systems Defining and substantiating the terms scene, situation, and sce- nario for automated driving,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T23:23:01.088391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.849457Z digest=sha256:5d2739626e9a52b51d160be3004cc0d0af3f8ed9e2fa1f04fce188d9b03248a9

Observation a140d82f-cae4-4600-b3b9-71655c5a206e · outbound

This paper cites A first look at the integration of machine learning models in complex autonomous driving systems: a case study on apollo,.

Generating Critical Scenarios for Testing Automated Driving Systems A first look at the integration of machine learning models in complex autonomous driving systems: a case study on apollo,

Reference 15

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raw_fallback, observed 2026-08-11T23:23:01.069720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.854149Z digest=sha256:b45cb2f8fdc8afc577bd6d6c9eac31aaa9b4968e7282fbfcf24303a40555312e

Observation 287f9f7a-f931-4627-9e00-15197d45fff5 · outbound

This paper cites Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes,.

Generating Critical Scenarios for Testing Automated Driving Systems Robust and precise vehicle localization based on multi-sensor fusion in diverse city scenes,

Reference 16

Resolution
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raw_fallback, observed 2026-08-11T23:23:01.047505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.859004Z digest=sha256:9280f42af81fe81ab761b3423ba27fd60e50c86c5b2bb1276311941943d2b495

Observation d1c956ef-5626-449e-9d93-cb18f705321f · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles,.

Generating Critical Scenarios for Testing Automated Driving Systems Airsim: High-fidelity visual and physical simulation for autonomous vehicles,

Reference 17

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no resolver link, observed 2026-08-11T23:22:59.863997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:22:59.863997Z digest=sha256:5830e76f0896de027dc05930051bf22fea38280f535879a2e4ca30189c82c9fb

Observation 051f78c8-2857-4878-a854-50502e8c0c9e · outbound

This paper cites A theoretical analysis of deep q-learning,.

Generating Critical Scenarios for Testing Automated Driving Systems A theoretical analysis of deep q-learning,

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T23:23:01.015296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.868817Z digest=sha256:f9b3ff2410c2cf4bf961b109a22a01122db9792b00633a7c2d34c35b5e4dd784

Observation 347f5d7d-d9ed-4d8a-aec8-5a8658770ade · outbound

This paper cites Weighted double q- learning,.

Generating Critical Scenarios for Testing Automated Driving Systems Weighted double q- learning,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.995897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.873493Z digest=sha256:b87846c6510fc71e6c3f19406cb3d91963b050a383007608e6df4533e8f4d4d4

Observation baa5bcca-10ec-4b8c-9f2e-a1191dc6484b · outbound

This paper cites Human-level control through deep reinforcement learning,.

Generating Critical Scenarios for Testing Automated Driving Systems Human-level control through deep reinforcement learning,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T23:22:59.878187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:22:59.878187Z digest=sha256:b3cc2cc9d8eed73a6c0bf52ead718cd33897380ca073aa0eb47efcf6a4ceb665

Observation 913fd713-bbca-4875-8278-995d20b3ffcd · outbound

This paper cites Longitudinal collision avoidance and lateral stability adaptive control system based on mpc of autonomous vehicles,.

Generating Critical Scenarios for Testing Automated Driving Systems Longitudinal collision avoidance and lateral stability adaptive control system based on mpc of autonomous vehicles,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.966079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.883019Z digest=sha256:ca627062db8e20eadc7d562d920e97b7167e22d4b5c89f3f4001ac3636ce51f8

Observation 51ea7355-c0fa-4d09-92b3-9fb368e26598 · outbound

This paper cites A survey on rear end collision avoidance system for automobiles,.

Generating Critical Scenarios for Testing Automated Driving Systems A survey on rear end collision avoidance system for automobiles,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.946734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.887503Z digest=sha256:480034fceb1df9953b0bdd689676e2a8cfcd34783dfef536cb49ccec0274f11d

Observation 4de7b272-1bd9-428b-bc26-1be821f9b76e · outbound

This paper cites Vehicle forward collision warning algorithm based on road friction,.

Generating Critical Scenarios for Testing Automated Driving Systems Vehicle forward collision warning algorithm based on road friction,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.929757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.892265Z digest=sha256:636a9fac693434067262e08564f77e38c043d4b8838e61194f03c2e3be042445

Observation 22ef75a5-6204-4189-bc42-60566037c3d4 · outbound

This paper cites Heterogeneous traffic mixing regular and connected vehicles: Modeling and stabilization,.

Generating Critical Scenarios for Testing Automated Driving Systems Heterogeneous traffic mixing regular and connected vehicles: Modeling and stabilization,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.913455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.896955Z digest=sha256:2420d4dcd14f732059bce18f06ec36d17881d1d462aa4b9e78766330d5a417d1

Observation d6642361-cfc2-4ddb-ab70-c9431aaee5ba · outbound

This paper cites Automotive lidar performance verification in fog and rain,.

Generating Critical Scenarios for Testing Automated Driving Systems Automotive lidar performance verification in fog and rain,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.895961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.901698Z digest=sha256:beac0e619f8a18be9dffa43f16df9816fd7fa68f4ea640ca228664fe3f826062

Observation 732cf2db-d9f4-4323-b85f-a30d20fef0d2 · outbound

This paper cites Autonomous vehicle ultrasonic sensor vulnerability and impact assessment,.

Generating Critical Scenarios for Testing Automated Driving Systems Autonomous vehicle ultrasonic sensor vulnerability and impact assessment,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.877474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.906390Z digest=sha256:59b2db3a7bb813428251bcb876ab303543f198c5e72e17b77d67fa126ee605ff

Observation b7fdf9ed-b1a3-4bac-a8b3-a70d20003a79 · outbound

This paper cites I can see the light: Attacks on autonomous vehicles using invisible lights,.

Generating Critical Scenarios for Testing Automated Driving Systems I can see the light: Attacks on autonomous vehicles using invisible lights,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.859340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.911006Z digest=sha256:fa1d2d4a0bc1bec26cf92372b6aeaab42b48f52986cb5d728b9c98e721a8535e

Observation 3806a97a-35e9-4e99-a081-ef246a568b19 · outbound

This paper cites Adaptive square attack: Fooling autonomous cars with adversarial traffic signs,.

Generating Critical Scenarios for Testing Automated Driving Systems Adaptive square attack: Fooling autonomous cars with adversarial traffic signs,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.842273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.915853Z digest=sha256:c9fc211c74bd449e8742087093a6d1175be9318a6d2a74a7f90388ddb87bfad5

Observation b23f772f-28e6-43e2-84b7-e229308e6692 · outbound

This paper cites Targeting patterns of driving characteristics in testing autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Targeting patterns of driving characteristics in testing autonomous driving systems,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.825783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.920355Z digest=sha256:df7ca1e2a7b01da0a9d13a39ef88e8c33f56fe823a6b68c6536337ad111f1f20

Observation 8197c6ec-dfbf-41ae-8513-0aa53c635324 · outbound

This paper cites An incremental ap- proach for understanding collision avoidance of an industrial path planner,.

Generating Critical Scenarios for Testing Automated Driving Systems An incremental ap- proach for understanding collision avoidance of an industrial path planner,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.809715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.924975Z digest=sha256:749c3e35d6732853d3ca36ec31051576c504ee3299795a85a906dbb42eece735

Observation b0e6840d-92ab-45a6-a598-5e5227de13a2 · outbound

This paper cites Parameter coverage for testing of autonomous driving systems 18 under uncertainty,.

Generating Critical Scenarios for Testing Automated Driving Systems Parameter coverage for testing of autonomous driving systems 18 under uncertainty,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.791741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.929702Z digest=sha256:62df5fd914b9c0716fe98f1e49e6b34263585f829a25ccf3198403cb5e94b874

Observation 860dffd8-f32b-431b-910b-c137ecafc03a · outbound

This paper cites Automatically testing self- driving cars with search-based procedural content generation,.

Generating Critical Scenarios for Testing Automated Driving Systems Automatically testing self- driving cars with search-based procedural content generation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.773676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.934179Z digest=sha256:6e9456d6f29b5f22ac8da07eda16845da78c53f3ce0105925a8deae55eba1804

Observation 98dab726-cdcf-4c79-89d3-e33fdb864b66 · outbound

This paper cites Model-based exploration of the frontier of behaviours for deep learning system testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Model-based exploration of the frontier of behaviours for deep learning system testing,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.756335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.938874Z digest=sha256:7e29cb5cc70503d8ddee07418ab6c46bd40cee89f2cd0bf91db7bc20a4560742

Observation 5330766b-e951-4c30-8d1f-dc3854be1e3c · outbound

This paper cites Adaptive stress testing with reward augmentation for au- tonomous vehicle validatio,.

Generating Critical Scenarios for Testing Automated Driving Systems Adaptive stress testing with reward augmentation for au- tonomous vehicle validatio,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.739661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.943370Z digest=sha256:df27fc45462dc837d59399055d9378e8128a27279fefb980e69b81ac9cbbfe3d

Observation bc3ac77e-cf9d-4823-a0ef-fafdb24eb4e0 · outbound

This paper cites Reality bites: Assessing the realism of driving scenarios with large language models,.

Generating Critical Scenarios for Testing Automated Driving Systems Reality bites: Assessing the realism of driving scenarios with large language models,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.723287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.947758Z digest=sha256:65298d0e178379ac690144b5cbd6a4042b98d536ad8d94c104bd65092380644d

Observation ba7b5335-295a-416d-8870-d2e9f8cb88e7 · outbound

This paper cites Diavio: Llm- empowered diagnosis of safety violations in ads simulation test- ing,.

Generating Critical Scenarios for Testing Automated Driving Systems Diavio: Llm- empowered diagnosis of safety violations in ads simulation test- ing,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.706877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.952713Z digest=sha256:bb7ad80ad22c188cd1524164d98186d2005c64d470f9293dc13c9c60b4965128

Observation 6db1e098-331c-4440-9bd7-573053a467a3 · outbound

This paper cites A survey on safety-critical driving scenario generation—a methodological perspective,.

Generating Critical Scenarios for Testing Automated Driving Systems A survey on safety-critical driving scenario generation—a methodological perspective,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T23:22:59.957128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:22:59.957128Z digest=sha256:8c9ed1a288e41ba3b90befa889c00960a8fe2104cb63e51f193c5548cf25624d

Observation 08425f57-1d64-470c-8c00-d38236862c79 · outbound

This paper cites A driver-vehicle model for ads scenario-based testing,.

Generating Critical Scenarios for Testing Automated Driving Systems A driver-vehicle model for ads scenario-based testing,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.680617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.961594Z digest=sha256:3447a6ca5c83082ad106c9e9e5f4c65ffc6c291a7aeb76ca41e83701c2221da8

Observation 0c792991-c467-4c18-ba2b-dec0c3042cf2 · outbound

This paper cites How does simulation-based testing for self-driving cars match human perception?.

Generating Critical Scenarios for Testing Automated Driving Systems How does simulation-based testing for self-driving cars match human perception?

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.665368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.966212Z digest=sha256:39543cc05444cdd81c6e0c3e302e97b6a1bd8dcdd453215d272d722ee2c44877

Observation 8c044961-9cfa-44cc-a2df-2339930dd913 · outbound

This paper cites Ac3r: automatically recon- structing car crashes from police reports,.

Generating Critical Scenarios for Testing Automated Driving Systems Ac3r: automatically recon- structing car crashes from police reports,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.649896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.970902Z digest=sha256:a0c62563d8fad7a76bb454535058500ccd3ab60b740d39ea308e98842f850ec5

Observation 381e1747-44ea-4cba-b265-9fb68c233744 · outbound

This paper cites Sctrans: Constructing a large public scenario dataset for simu- lation testing of autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Sctrans: Constructing a large public scenario dataset for simu- lation testing of autonomous driving systems,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.634472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.975683Z digest=sha256:15ed208dc03afb91d42f4dbfb48883615312dc6851b8f24e0e0f04075b1c0e72

Observation d69020e5-1dc1-44d8-819e-136d76adf11e · outbound

This paper cites Sovar: Build generalizable scenarios from accident reports for autonomous driving testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Sovar: Build generalizable scenarios from accident reports for autonomous driving testing,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.617682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.980462Z digest=sha256:6e8800c0e1735142ff64200f009d2a353ff8f8047163117afba9f3bd2a8d831c

Observation 97fbaed7-f88c-441a-9ab9-53943d760bda · outbound

This paper cites Search-based selection and prioritization of test scenarios for autonomous driving systems,.

Generating Critical Scenarios for Testing Automated Driving Systems Search-based selection and prioritization of test scenarios for autonomous driving systems,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.602240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.991402Z digest=sha256:9f070775d16928d95089732140830ea7784ff43a27287246b0368ccd4c5d6834

Observation 443b65ce-5f07-43da-857f-044ddef8ace3 · outbound

This paper cites Model based generation of driving scenarios,.

Generating Critical Scenarios for Testing Automated Driving Systems Model based generation of driving scenarios,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.586612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:22:59.998215Z digest=sha256:5748f0d9b7485e71bfefce75284e41c61a04a9d5564e89594c687d789459947a

Observation d687e68b-b795-4f9b-940a-90e7a947e56a · outbound

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

Generating Critical Scenarios for Testing Automated Driving Systems A survey on automated driving system testing: Landscapes and trends,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.570905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.004591Z digest=sha256:1d1fce34050da44e75f992982c1f9817b6ea2f3c7dfe251241e4294f6e4fd1c0

Observation 44b7437d-64af-43e8-aac0-8e6b1e37981d · outbound

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

Generating Critical Scenarios for Testing Automated Driving Systems Testing of autonomous driving systems: where are we and where should we go?

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.554091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.010269Z digest=sha256:95f34e245742a08f3fcca6ff63c456ad8dcf108d0c738279204862670d304eb2

Observation 31452402-4893-4b7f-ae0f-d15b134bfa92 · outbound

This paper cites Testing autonomous cars for feature interaction failures using many-objective search,.

Generating Critical Scenarios for Testing Automated Driving Systems Testing autonomous cars for feature interaction failures using many-objective search,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.536918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.017446Z digest=sha256:ba43093608a686152d15e923b92fafa37a9ee96dc414f12c05bf5fbd343d5f74

Observation e11f45db-c90e-4a1d-88ba-b7deafca4557 · outbound

This paper cites Dirty road can attack: Security of deep learning based automated lane centering under {Physical-World} attack,.

Generating Critical Scenarios for Testing Automated Driving Systems Dirty road can attack: Security of deep learning based automated lane centering under {Physical-World} attack,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.519011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.023609Z digest=sha256:ddd348582cb343177f6ddcc309522104fd7a419730b34f142bd24878ed70134d

Observation a2841ff1-75e2-421c-85a7-b249631ffd28 · outbound

This paper cites Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling,.

Generating Critical Scenarios for Testing Automated Driving Systems Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.502159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.029148Z digest=sha256:e2287f0d4471a9fedaca87f113edb5f02775915207f602239a7bb6636306fd43

Observation a2c22546-de9e-471a-aa5d-94e7aefd5549 · outbound

This paper cites Assess- ing the safety and reliability of autonomous vehicles from road testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Assess- ing the safety and reliability of autonomous vehicles from road testing,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.483025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.034630Z digest=sha256:d8d47f7758c7d8a6959acb55d07cbc2ae4003760b2702659148ef0afc3205cfa

Observation 3521ca7f-dfec-4dff-9b42-fb35e9267fc2 · outbound

This paper cites Hardware-in-the- loop simulation platform for autonomous vehicle aeb prototyping and validation,.

Generating Critical Scenarios for Testing Automated Driving Systems Hardware-in-the- loop simulation platform for autonomous vehicle aeb prototyping and validation,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.462479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.043380Z digest=sha256:ff77581bce552fe5677f9df54321c4d3fb983d9016509481410ae22b7bdb7aa9

Observation 9249cc39-c888-4f1b-b66c-08ffaa6cc0a4 · outbound

This paper cites A real-time co-simulation framework for virtual test and validation on a high dynamic vehicle test bed,.

Generating Critical Scenarios for Testing Automated Driving Systems A real-time co-simulation framework for virtual test and validation on a high dynamic vehicle test bed,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.442288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.049706Z digest=sha256:fbeedb8d8da069cbd024ac7f173d5e03e7d609b2d80af536e05b63fc592e873d

Observation 4ea61742-dafe-4d0b-8aa7-549e775987f6 · outbound

This paper cites Critical scenario identification concept: the role of the scenario-in-the-loop approach in future automotive testing,.

Generating Critical Scenarios for Testing Automated Driving Systems Critical scenario identification concept: the role of the scenario-in-the-loop approach in future automotive testing,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.424383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.057669Z digest=sha256:3627c33afb18dde4a8055ab867fa11b1de9bea3eea372e28ab2701e2bb9adc7e

Observation 22955de7-30c2-4415-8edf-89a88f096c47 · outbound

This paper cites Black-box adversarial attacks in autonomous vehicle technology,.

Generating Critical Scenarios for Testing Automated Driving Systems Black-box adversarial attacks in autonomous vehicle technology,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.407207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.063761Z digest=sha256:65119771d63b8f1d0d9c2f7ff3f22606e6650553e9452db8abb7dca6afc96dbc

Observation 9676948f-6cec-45eb-9507-7b8968db08fb · outbound

This paper cites Robust physical-world at- tacks on deep learning visual classification,.

Generating Critical Scenarios for Testing Automated Driving Systems Robust physical-world at- tacks on deep learning visual classification,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T23:23:00.071841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:23:00.071841Z digest=sha256:2604b3571f0b1cd44f0d23db4b8c1f2c741db7186dd230a40aaa6ab8bd24e1fc

Observation af5b60bb-5ba4-41ad-aa1b-f9d936001df5 · outbound

This paper cites Physical adversarial exam- ples for object detectors,.

Generating Critical Scenarios for Testing Automated Driving Systems Physical adversarial exam- ples for object detectors,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.379827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.077669Z digest=sha256:d9c077112ec9c2fc51a423939a8d62d1639e9ca987f88dc7579b0b0d534e9639

Observation 19b10363-c6cb-4bdb-996d-249ff5c53fe4 · outbound

This paper cites Chatgpt- based scenario engineer: A new framework on scenario generation for trajectory prediction,.

Generating Critical Scenarios for Testing Automated Driving Systems Chatgpt- based scenario engineer: A new framework on scenario generation for trajectory prediction,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.363210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.084051Z digest=sha256:bbb09b6679b18fc79390668afbef96a2b0b36e5e29426dcaec18955545f69b66

Observation 03176c1e-ab55-4aed-9ef4-bc4ab952f2b0 · outbound

This paper cites Automotive lidar sensor development scenarios for harsh weather conditions,.

Generating Critical Scenarios for Testing Automated Driving Systems Automotive lidar sensor development scenarios for harsh weather conditions,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:23:00.347143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:23:00.089430Z digest=sha256:54bfcd9fdc01af31500c015ae52c3b5aec2dfdbea23a3f31c33fcb4881d518c8

Pith citing papers

No inbound Pith citation observations are available.