Paper Citation Record · LEDGER

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving

As of 20 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2505.13872.

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

pith.paper-citation-record.v1
2505.13872 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:12:06.243010Z

measured 54 of 54 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:14.029939Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:00:16.914755Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy38
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ecb479a-430d-4906-984c-597dead14c82 · outbound

This paper cites Pnpnet: End-to- end perception and prediction with tracking in the loop,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Pnpnet: End-to- end perception and prediction with tracking in the loop,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.983774Z

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.

Observation b1e188f5-2885-49e1-a7eb-871f091b32e8 · outbound

This paper cites Think twice before driving: To- wards scalable decoders for end-to-end autonomous driving,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Think twice before driving: To- wards scalable decoders for end-to-end autonomous driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.969164Z

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.

Observation 8160807d-a530-4e55-a0ec-6cf3eb389ecc · outbound

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

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Transfuser: Imitation with transformer-based sensor fusion for autonomous driving,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.954387Z

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.

Observation beb3f0bd-6e16-4a7a-b891-2426a28de916 · outbound

This paper cites Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.034384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f963bb5-b599-47cd-8809-82cee5dd848b · outbound

This paper cites Autoware on board: Enabling autonomous vehicles with embedded systems,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Autoware on board: Enabling autonomous vehicles with embedded systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.938936Z

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.

Observation c19e152f-15a9-4ead-81bc-ad92a2b25e5c · outbound

This paper cites Safety of perception systems for automated driving: A case study on apollo,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Safety of perception systems for automated driving: A case study on apollo,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.924966Z

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.

Observation bb056e43-7437-4cf1-939d-125ae17b2709 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.911765Z

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.

Observation 5a223e92-169f-4c00-af8c-99443317d5f7 · outbound

This paper cites Think2drive: Efficient reinforcement learning by thinking with latent world model for autonomous driving (in carla-v2),.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Think2drive: Efficient reinforcement learning by thinking with latent world model for autonomous driving (in carla-v2),

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.898863Z

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.

Observation 7c7aa35d-7ebf-46d7-8d58-2405fead5aa1 · outbound

This paper cites CarLLaVA: Vision language models for camera-only closed-loop driving.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving CarLLaVA: Vision language models for camera-only closed-loop driving

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.056499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78ebe32-5841-4508-a87a-915a59a1a82a · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.061262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de283d05-f291-46aa-b7bd-ccf11cd153ec · outbound

This paper cites Coda: A real-world road corner case dataset for object detection in autonomous driving,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Coda: A real-world road corner case dataset for object detection in autonomous driving,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.884873Z

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.

Observation 143a358d-64f6-4be2-91a0-911b14e87042 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.071358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf0995e-00fc-4121-abab-a8df3e20ca96 · outbound

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

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.075591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f77078-afcc-407d-807b-025b792ee5f8 · outbound

This paper cites Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.079902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a055d02a-5d12-44a0-9013-3c55ca7bd9b6 · outbound

This paper cites Safebench: A benchmarking platform for safety evaluation of autonomous vehicles,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Safebench: A benchmarking platform for safety evaluation of autonomous vehicles,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.852628Z

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.

Observation e86f5e28-c37a-4667-9172-75b5a6186923 · outbound

This paper cites Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.838250Z

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.

Observation 42e48e81-46a2-4429-a6c9-33ec79a1a858 · outbound

This paper cites Chatscene: Knowledge-enabled safety-critical scenario generation for autonomous vehicles,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Chatscene: Knowledge-enabled safety-critical scenario generation for autonomous vehicles,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.094382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228624fa-5d4f-48e6-bce8-6a7a4a456ca2 · outbound

This paper cites Iss-scenario: Scenario-based testing in carla,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Iss-scenario: Scenario-based testing in carla,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.814058Z

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.

Observation ebeea251-1596-4361-868f-7d92a41e20d8 · outbound

This paper cites Benchmark- ing robustness of 3d object detection to common corruptions,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Benchmark- ing robustness of 3d object detection to common corruptions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.797879Z

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.

Observation 35922f37-2515-4660-aef6-11d8d238bc6c · outbound

This paper cites Revisiting physical-world adversarial attack on traffic sign recognition: A commercial systems perspective,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Revisiting physical-world adversarial attack on traffic sign recognition: A commercial systems perspective,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.784275Z

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.

Observation 436cbf7d-3d8e-444a-a5c4-6a8de84a118c · outbound

This paper cites Lanevil: Benchmarking the robustness of lane detection to environmental illusions,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Lanevil: Benchmarking the robustness of lane detection to environmental illusions,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.771037Z

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.

Observation 0d547cad-c31d-4d22-ac21-70a2e8bff4db · outbound

This paper cites Human trajectory forecasting in crowds: A deep learning perspective,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Human trajectory forecasting in crowds: A deep learning perspective,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.757233Z

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.

Observation 693a2c8d-8788-4a81-8447-edb48899ed62 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Scalability in perception for autonomous driving: Waymo open dataset,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.742780Z

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.

Observation 2dd87d7e-1e36-4a21-93a1-dc4a6b024aad · outbound

This paper cites Dense reinforcement learning for safety validation of autonomous vehicles,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Dense reinforcement learning for safety validation of autonomous vehicles,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.122063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c575cfe7-7477-4cbd-8b8a-287c4bf7492f · outbound

This paper cites Adversarial safety-critical scenario generation using naturalistic human driving priors,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Adversarial safety-critical scenario generation using naturalistic human driving priors,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.718396Z

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.

Observation 343b9c14-88db-4c16-a684-76264c37b873 · outbound

This paper cites Commonroad: Composable benchmarks for motion planning on roads,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Commonroad: Composable benchmarks for motion planning on roads,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.703981Z

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.

Observation d035f4b0-aac1-4f10-a285-9842a9f92f66 · outbound

This paper cites SoK: On the Semantic AI Security in Autonomous Driving.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving SoK: On the Semantic AI Security in Autonomous Driving

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.134787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86564df-04f4-4bbd-903c-07ae4fc0e00a · outbound

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

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving I can see the light: Attacks on autonomous vehicles using invisible lights,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.689224Z

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.

Observation 6a641d60-69f5-49b9-8f82-ca4524aca344 · outbound

This paper cites Towards robust physical-world backdoor attacks on lane detection,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Towards robust physical-world backdoor attacks on lane detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.674450Z

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.

Observation 4cab9630-a858-4616-8fe9-7c55104ba96a · outbound

This paper cites Advdo: Realistic adversarial attacks for trajectory prediction,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Advdo: Realistic adversarial attacks for trajectory prediction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.661149Z

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.

Observation 7fa5b5fc-a1ac-4218-bf07-e2ecd60e4b76 · outbound

This paper cites R 2-bench: Benchmarking the robustness of referring perception models under perturbations,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving R 2-bench: Benchmarking the robustness of referring perception models under perturbations,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.647145Z

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.

Observation 1ace366a-0b4b-435b-b256-dc6c55a21a04 · outbound

This paper cites Pass: A system- driven evaluation platform for autonomous driving safety and security,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Pass: A system- driven evaluation platform for autonomous driving safety and security,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.633117Z

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.

Observation 663953d8-16b7-4464-9db4-d5e6a860d7cb · outbound

This paper cites Multicorrupt: A multi-modal robustness dataset and benchmark of lidar-camera fusion for 3d object detection,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Multicorrupt: A multi-modal robustness dataset and benchmark of lidar-camera fusion for 3d object detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.618468Z

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.

Observation 75a95c2e-75ff-4301-a441-53d1deea2f46 · outbound

This paper cites Benchmarking and improving bird’s eye view perception robustness in autonomous driving,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Benchmarking and improving bird’s eye view perception robustness in autonomous driving,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.164042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 267fad48-c14c-43a5-965e-f2c4bbba51fe · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Explaining and Harnessing Adversarial Examples

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.168146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ba4f5d7-5829-4054-b955-bf80330348f1 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Towards deep learning models resistant to adversarial attacks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.173085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1526532-c08a-4c7c-9e5c-c27a134c2fb7 · outbound

This paper cites Adversarial Patch.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Adversarial Patch

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.177044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70ef5afc-e4ce-44d4-a0cc-08082ba92c4c · outbound

This paper cites Beware of road markings: A new adversarial patch attack to monocular depth estimation,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Beware of road markings: A new adversarial patch attack to monocular depth estimation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.586872Z

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.

Observation 4daa23cc-b158-4da3-8920-560f22c0991e · outbound

This paper cites Synthesizing robust adversarial examples,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Synthesizing robust adversarial examples,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.185819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531ec8c9-765c-4bb0-9563-cc933f5664b6 · outbound

This paper cites Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.565230Z

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.

Observation 228a266c-75cf-4b5a-8239-4c385b038144 · outbound

This paper cites Understanding deep image representations by inverting them,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Understanding deep image representations by inverting them,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.551724Z

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.

Observation b34b0aa9-0635-47a9-87bb-8ce34af0ae09 · outbound

This paper cites Towards a robust adversarial patch attack against unmanned aerial vehicles object detection,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Towards a robust adversarial patch attack against unmanned aerial vehicles object detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.537594Z

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.

Observation 58f184ef-a851-4620-bde0-63aa5508ba51 · outbound

This paper cites Dual attention suppression attack: Generate adversarial camouflage in physical world,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Dual attention suppression attack: Generate adversarial camouflage in physical world,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.523903Z

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.

Observation 00cb8b23-e861-41a6-a31c-090015e8d04f · outbound

This paper cites Boosting trans- ferability of physical attack against detectors by redistributing separable attention,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Boosting trans- ferability of physical attack against detectors by redistributing separable attention,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.509970Z

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.

Observation 206dba82-1621-4ff6-a60e-9928ed1f1742 · outbound

This paper cites Backdoor attacks and defenses targeting multi-domain ai models: A comprehensive review,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Backdoor attacks and defenses targeting multi-domain ai models: A comprehensive review,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.495775Z

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.

Observation 222aecb2-825d-4f16-8228-523ba550cbb6 · outbound

This paper cites Adversarial backdoor attack by naturalistic data poisoning on trajectory prediction in autonomous driving,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Adversarial backdoor attack by naturalistic data poisoning on trajectory prediction in autonomous driving,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.481632Z

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.

Observation 6258c17d-9807-46e2-be38-2539b4154272 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Pointpillars: Fast encoders for object detection from point clouds,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.467504Z

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.

Observation 0681f577-0afe-4c7f-9bb2-541e460e3f66 · outbound

This paper cites Clrnet: Cross layer refinement network for lane detection,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Clrnet: Cross layer refinement network for lane detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.450998Z

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.

Observation 09b7e3a8-9f89-4ecc-82fb-423e39f84885 · outbound

This paper cites Adversarial texture for fooling person detectors in the physical world,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Adversarial texture for fooling person detectors in the physical world,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.436423Z

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.

Observation 24e2d4a6-c81f-481a-b15e-ed0f5a127de0 · outbound

This paper cites Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:12:06.230587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2755e67-b211-4f8a-8e1e-df38901c563a · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Vad: Vectorized scene representation for efficient autonomous driving,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.421466Z

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.

Observation 45af4bbf-02a2-48dc-8629-2579f455ef88 · outbound

This paper cites Planning- oriented autonomous driving,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Planning- oriented autonomous driving,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.406998Z

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.

Observation 16cef328-715b-4179-8d5e-dfe224cd44f3 · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models,.

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving Lmdrive: Closed-loop end-to-end driving with large language models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:12:06.393056Z

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.

Pith citing papers

Observation 1a5cc796-ac70-436a-bdd7-62b8c1fd06b7 · inbound

NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment cites this paper.

NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:00:16.991354Z

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.