Paper Citation Record · LEDGER

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

As of 21 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 7 inbound Pith citation observations for arXiv:2412.13238.

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

pith.paper-citation-record.v1
2412.13238 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:31:30.291888Z

measured 44 of 44 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:58:22.802312Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T20:16:29.465355Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy22
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eec1f631-ee5e-461f-bda6-a27a30fbdbc1 · outbound

This paper cites Towards the unified principles for level 5 autonomous vehicles,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Towards the unified principles for level 5 autonomous vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.737463Z

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 4e879c5b-f81f-42a6-9783-119cf95ad08d · outbound

This paper cites Neural-fly enables rapid learning for agile flight in strong winds,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Neural-fly enables rapid learning for agile flight in strong winds,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.729853Z

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 ef19439e-5088-40f7-a37e-d35869452f96 · outbound

This paper cites A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.722274Z

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 a58b8ded-6aba-46cd-a719-779ae8220034 · outbound

This paper cites Adaptive memory event triggered output feedback finite-time lane keeping control for autonomous heavy truck with roll prevention,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Adaptive memory event triggered output feedback finite-time lane keeping control for autonomous heavy truck with roll prevention,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.714491Z

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 39236ad2-399c-4af4-aaf0-297175e86eda · outbound

This paper cites Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.139406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a57352-6e9f-45f0-81ce-e7661b913480 · outbound

This paper cites Drive like a human: Rethinking autonomous driving with large language models,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Drive like a human: Rethinking autonomous driving with large language models,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.142761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f37a25f-1d71-4d7d-b735-f21f0f70e2f7 · outbound

This paper cites Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Receive, reason, and react: Drive as you say, with large language models in autonomous vehicles,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.701381Z

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 6c2b0fbe-0b11-4e00-a3d1-570f8d3e4e54 · outbound

This paper cites A survey on large language model based autonomous agents,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A survey on large language model based autonomous agents,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.149018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e70a9e-374a-4988-9e49-bfe008a58e64 · outbound

This paper cites The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.693223Z

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 77c1a81d-ad47-46a9-bccb-26f3fe514995 · outbound

This paper cites The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.685015Z

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 9031e93d-1368-4c26-b886-1d43a5390bc7 · outbound

This paper cites The round dataset: A drone dataset of road user trajectories at roundabouts in germany,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models The round dataset: A drone dataset of road user trajectories at roundabouts in germany,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.676750Z

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 3b934c85-f99e-4274-8930-afaef231a054 · outbound

This paper cites A new integrated colli- sion risk assessment methodology for autonomous vehicles,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A new integrated colli- sion risk assessment methodology for autonomous vehicles,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.668431Z

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 455e32fe-1c5f-4327-96c3-f26c66b7b780 · outbound

This paper cites A comparison of headway and time to collision as safety indicators,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A comparison of headway and time to collision as safety indicators,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.163179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472f12ba-25b6-4a17-9820-5adb4a254cec · outbound

This paper cites Using time- to-react based on naturalistic traffic object behavior for scenario-based risk assessment of automated driving,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Using time- to-react based on naturalistic traffic object behavior for scenario-based risk assessment of automated driving,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.655514Z

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 b3077400-fdb4-415a-b8ce-a51bfa3c501a · outbound

This paper cites Time to lane crossing calculation and characterization of its associated uncertainty,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Time to lane crossing calculation and characterization of its associated uncertainty,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.647145Z

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 5fd24e96-103e-43cb-ac65-cd33e03340a8 · outbound

This paper cites On a Formal Model of Safe and Scalable Self-driving Cars.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models On a Formal Model of Safe and Scalable Self-driving Cars

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.170456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c5cce4-f2ff-429b-bf4c-bfdbfbffc50c · outbound

This paper cites Global path planning using artificial potential fields,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Global path planning using artificial potential fields,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.639927Z

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 a12f7f7d-a45d-40c0-b50a-26c22fd72065 · outbound

This paper cites A unified approach to driver assistance systems based on artificial potential fields,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A unified approach to driver assistance systems based on artificial potential fields,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.632660Z

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 e908eee3-ba11-4887-9afd-b57cf0971cc0 · outbound

This paper cites A probabilistic risk assessment framework considering lane-changing behavior interaction,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A probabilistic risk assessment framework considering lane-changing behavior interaction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.625302Z

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 64a0bbd7-f096-4e2f-b6b7-52f08727eb92 · outbound

This paper cites Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.617564Z

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 397398f8-c612-4239-8293-d8e1a5098ee9 · outbound

This paper cites Human-like driving behaviour emerges from a risk-based driver model,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Human-like driving behaviour emerges from a risk-based driver model,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.608486Z

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 5253c2ed-b1fb-4e48-bee7-7aeedd7c3a2a · outbound

This paper cites A risk field-based metric correlates with driver’s perceived risk in manual and automated driving: A test-track study,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A risk field-based metric correlates with driver’s perceived risk in manual and automated driving: A test-track study,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.600142Z

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 2714aa56-cc72-41c7-b3a2-144cedee246b · outbound

This paper cites General optimal trajectory planning: Enabling au- tonomous vehicles with the principle of least action,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models General optimal trajectory planning: Enabling au- tonomous vehicles with the principle of least action,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.591641Z

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 73c1045f-0c79-47ea-abe2-b4dd653535c2 · outbound

This paper cites Wu, Y .-Y.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Wu, Y .-Y

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.583171Z

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 420baa32-726b-44bf-81a2-c47b7d2c9dfb · outbound

This paper cites Fuzzy optimal tracking control for unmanned surface vehicles with prescribed-time convergence analysis,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Fuzzy optimal tracking control for unmanned surface vehicles with prescribed-time convergence analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.575787Z

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 b85be702-7e2e-44aa-a1c0-b24904bd7cda · outbound

This paper cites Embodiedgpt: Vision-language pre-training via embodied chain of thought,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Embodiedgpt: Vision-language pre-training via embodied chain of thought,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.195834Z

Source-reported events for the cited work

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Observation 74f55d53-48d4-427a-838f-b23a514d5b49 · outbound

This paper cites When Large Language Models Meet Vector Databases: A Survey.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models When Large Language Models Meet Vector Databases: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.198543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c7b3eb1-6f13-48fd-be13-753c582fc788 · outbound

This paper cites Towards Knowledge-driven Autonomous Driving.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Towards Knowledge-driven Autonomous Driving

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.201926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66dbc076-ec60-464e-895f-b7d7e20358ea · outbound

This paper cites DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.204810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b3ca7b-adc9-41fc-b516-e914b8f1f81a · outbound

This paper cites Koma: Knowledge-driven multi-agent framework for autonomous driving with large language models,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Koma: Knowledge-driven multi-agent framework for autonomous driving with large language models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.564095Z

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 f70e842f-b497-4f8f-ab68-d7a0eec7ca4c · outbound

This paper cites To- wards interactive and learnable cooperative driving automation: a large language model-driven decision-making framework,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models To- wards interactive and learnable cooperative driving automation: a large language model-driven decision-making framework,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.210506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceaa9dac-74d3-4838-b62f-0b70181325f2 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.213242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9792a8c1-620d-4938-83c0-dcf0e6e5a3b0 · outbound

This paper cites Real-Time Anomaly Detection and Reactive Planning with Large Language Models.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Real-Time Anomaly Detection and Reactive Planning with Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.216549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9316681-29b1-40d8-b062-a58ac93d0d2b · outbound

This paper cites Road-user behaviour and traffic acci- dents,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Road-user behaviour and traffic acci- dents,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:31:30.555860Z

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 773f0b9b-965f-4ef3-8e79-31b32691a819 · outbound

This paper cites Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.222300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b60f6d-c7e2-4be0-8e5a-99c5a463faaf · outbound

This paper cites A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.288769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e43845-ff6a-4dba-9ed0-1cfe3790b90a · outbound

This paper cites Optimizing autonomous driving for safety: A human-centric approach with llm-enhanced rlhf,.

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Optimizing autonomous driving for safety: A human-centric approach with llm-enhanced rlhf,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:30.291888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c236e797-5613-48e0-8336-7fff41fa62c3 · inbound

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving cites this paper.

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:58:22.802312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe7aab82-47f1-43fc-860f-10d3ec8f08de · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:58.453995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed208e29-3929-408d-8265-90a803b13b2e · inbound

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications cites this paper.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:49:05.736798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762f5945-9cee-4d2b-a5bf-d856995f17b3 · inbound

Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios cites this paper.

Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T22:51:27.294452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31103039-6d3c-4723-b375-141d1199142c · inbound

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis cites this paper.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T11:13:09.652665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa9b91fd-1ab9-42c8-98a2-fc4abeb40e81 · inbound

MC-Risk: Multi-Component Risk Fields for Risk Identification and Motion Planning cites this paper.

MC-Risk: Multi-Component Risk Fields for Risk Identification and Motion Planning SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:33:56.556217Z

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 830ae06c-9cc2-4706-9b10-958484dc5ba9 · inbound

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving cites this paper.

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-09T20:16:29.466597Z

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.