Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T19:12:59.814811Z
Paper Citation Record · LEDGER
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios
As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2606.31483.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
48 of 48 outbound references displayed
- verified exact2
- verified fuzzy46
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3788692d-4a47-452a-af3c-801e9d8ad089 · outbound
This paper cites A survey of personal- ization for advanced driver assistance systems,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios A survey of personal- ization for advanced driver assistance systems,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.354734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8a332dcf-2051-4745-85bf-350f295a58be · outbound
This paper cites Implicit personalization in driving assistance: State-of-the-art and open issues,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Implicit personalization in driving assistance: State-of-the-art and open issues,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.348136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation acbed1ee-269d-4aca-88f5-a2cb8b348669 · outbound
This paper cites A review of personalization in driving behavior: Dataset, modeling, and validation,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios A review of personalization in driving behavior: Dataset, modeling, and validation,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.369978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c25538c6-1ad5-42fa-b3a8-6a1c2028bf5b · outbound
This paper cites Lane change and merge maneuvers for connected and automated vehicles: A survey,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Lane change and merge maneuvers for connected and automated vehicles: A survey,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.335299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 561d17d9-eb62-4b37-902c-ae4949574e3c · outbound
This paper cites Maveric: A data-driven approach to personalized autonomous driving,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Maveric: A data-driven approach to personalized autonomous driving,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.350447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7b64176b-c80a-46c3-930f-7547e0faa717 · outbound
This paper cites Personalized driver/vehicle lane change models for ADAS,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalized driver/vehicle lane change models for ADAS,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.396387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 76437131-4f6c-43e7-b043-ee9ec841d65b · outbound
This paper cites A personalized human- like lane-changing trajectory planning method for automated driving system,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios A personalized human- like lane-changing trajectory planning method for automated driving system,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.368108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e189d0ab-5714-428f-8f14-a00744b3c77d · outbound
This paper cites Personalized trajectory planning and control of lane-change maneuvers for autonomous driving,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalized trajectory planning and control of lane-change maneuvers for autonomous driving,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.358704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 64c8163b-83df-4664-97a0-ebeb0a59e47f · outbound
This paper cites Learning autonomous driving tasks via human feedbacks with large language models,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Learning autonomous driving tasks via human feedbacks with large language models,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.418831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3b702144-76c1-45fb-81c8-3207d8e56ec6 · outbound
This paper cites Autoware. flex: Human-instructed dynamically reconfigurable autonomous driving systems,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Autoware. flex: Human-instructed dynamically reconfigurable autonomous driving systems,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.366126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7dd7a65c-b761-47ed-8da8-a012c9cc0126 · outbound
This paper cites Drive as you speak: Enabling human-like interaction with large language models in au- tonomous vehicles,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Drive as you speak: Enabling human-like interaction with large language models in au- tonomous vehicles,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.379246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 55540629-5355-4fea-bf81-73396184381b · outbound
This paper cites Dilu: A knowledge-driven approach to autonomous driving with large language models,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Dilu: A knowledge-driven approach to autonomous driving with large language models,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.413399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1100177f-6aa0-4f61-8eb9-5b406d23e4da · outbound
This paper cites Stylevla: Driving style-aware vision language action model for autonomous driving.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Stylevla: Driving style-aware vision language action model for autonomous driving
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:17:17.757756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d9f9f624-13e7-4f99-a0bc-56ecd75862d9 · outbound
This paper cites Padriver: Towards personalized autonomous driving,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Padriver: Towards personalized autonomous driving,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.348756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bc18129e-5a57-4595-8c69-3b9a54b5a108 · outbound
This paper cites A survey of personal- ization for advanced driver assistance systems,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios A survey of personal- ization for advanced driver assistance systems,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.360587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69f15821-fb8c-4441-bdfd-c267864b8a31 · outbound
This paper cites Apollo: An open autonomous driving platform,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Apollo: An open autonomous driving platform,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.339005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation db64bb06-54bf-48be-80cb-24d5ac13f908 · outbound
This paper cites Personalized forward collision warning model with learning from human preferences,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalized forward collision warning model with learning from human preferences,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.416936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee1dee0e-f82f-4342-a59c-6e0fde7ca52c · outbound
This paper cites Personalized adaptive cruise control via gaussian process regression,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalized adaptive cruise control via gaussian process regression,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.405854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35db299e-8419-4357-9e4a-9d547451be1a · outbound
This paper cites Drivers’ inter- action with adaptive cruise control on dry and snowy roads with various tire-road grip potentials,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Drivers’ inter- action with adaptive cruise control on dry and snowy roads with various tire-road grip potentials,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.400086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6f9d19cb-c6aa-4d2c-a918-96103b057534 · outbound
This paper cites Personalizing automated driv- ing speed to enhance user experience and performance in intermediate- level automated driving,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalizing automated driv- ing speed to enhance user experience and performance in intermediate- level automated driving,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.377442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d828c4b8-b53b-46ba-87fc-bb8852b9035b · outbound
This paper cites User-driven adaptation: Tailoring autonomous driving systems with dynamic preferences,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios User-driven adaptation: Tailoring autonomous driving systems with dynamic preferences,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.389066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 476e1e43-c4a9-4474-b9b8-9b5e808d8fac · outbound
This paper cites Accelerating the evolution of personalized automated lane change through lesson learning,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Accelerating the evolution of personalized automated lane change through lesson learning,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.394602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5c4de96e-c020-43cb-a191-2859137eed1c · outbound
This paper cites Large language models for autonomous driving—concept, review, benchmark, experiments, and future trends,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Large language models for autonomous driving—concept, review, benchmark, experiments, and future trends,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.387105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bed8f8f4-d374-4549-b8ea-9f38ee8bf3be · outbound
This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:17:17.755841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eba3d617-fb5b-4dbe-a5e1-6590d6c66620 · outbound
This paper cites Vision language models in autonomous driving: A survey and outlook.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Vision language models in autonomous driving: A survey and outlook
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.398226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 16ef8681-3b74-4ac3-876d-fc8994f3a722 · outbound
This paper cites A survey on the application of large language models in scenario-based testing of automated driving systems,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios A survey on the application of large language models in scenario-based testing of automated driving systems,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.390969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cbee8b31-b5ae-4ba2-8c7d-3d11b4fe840f · outbound
This paper cites Personalized autonomous driving with large language models: Field experiments,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalized autonomous driving with large language models: Field experiments,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.401893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9408399b-aa76-46e7-a686-1b899d1ed83b · outbound
This paper cites Personalizing driver agent using large language models for driving safety and smarter human–machine interactions,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalizing driver agent using large language models for driving safety and smarter human–machine interactions,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.375602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 41bcb170-0882-45b4-abf1-e4567866aa96 · outbound
This paper cites Carla: An open urban driving simulator.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Carla: An open urban driving simulator
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.403702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a586165b-2420-459d-a71a-35301c9889f9 · outbound
This paper cites Llm-based operating systems for automated vehicles: A new perspective,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Llm-based operating systems for automated vehicles: A new perspective,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.392804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2b91e0bc-9eee-4abb-ba5b-adde6ce13aad · outbound
This paper cites Human-centric autonomous systems with llms for user command reasoning,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Human-centric autonomous systems with llms for user command reasoning,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.346040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2f1f161a-a27a-4de1-97ce-dd984f05ba57 · outbound
This paper cites Gpt- 4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Gpt- 4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.352760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a064004e-c667-4c12-ac86-e94adb5f9ad9 · outbound
This paper cites doscenes: An autonomous driving dataset with natural lan- guage instruction for human interaction and vision-language navigation,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios doscenes: An autonomous driving dataset with natural lan- guage instruction for human interaction and vision-language navigation,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.356679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae0ae10f-919e-427d-a9cc-27b236bade37 · outbound
This paper cites Talk2car: Taking control of your self-driving car,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Talk2car: Taking control of your self-driving car,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.382982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b09bdf25-0b0c-4570-8e50-01d7dbda5c7e · outbound
This paper cites Language prompt for autonomous driving,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Language prompt for autonomous driving,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.371845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9cab0f83-f9ac-409b-905b-bf2d2418a669 · outbound
This paper cites Lmdrive: Closed-loop end-to-end driving with large language models.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Lmdrive: Closed-loop end-to-end driving with large language models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.341122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 95d4e756-af18-40a1-b55f-376f3a9b5d2f · outbound
This paper cites sentence-transformers/all-MiniLM-L6-v2,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios sentence-transformers/all-MiniLM-L6-v2,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.411574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e8f7f96-d812-43b2-92cd-6b93cc00b656 · outbound
This paper cites The faiss library.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios The faiss library
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.415096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation feb4c610-f504-4d1e-9a6d-0dbb3a702a36 · outbound
This paper cites Billion-scale similarity search with GPUs.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Billion-scale similarity search with GPUs
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.364367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f0330fdf-5bd5-49bf-bdbf-6f5059f38cef · outbound
This paper cites CarMaker: The simulation solution for virtual test driving,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios CarMaker: The simulation solution for virtual test driving,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.409814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6ec6e2d0-b5d9-4726-9bd8-c0412ed372d3 · outbound
This paper cites Toward a full-stack co-simulation platform for testing of automated driving systems,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Toward a full-stack co-simulation platform for testing of automated driving systems,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.362522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e4c8335-9cfa-4402-8a89-9c233975005e · outbound
This paper cites Chat2scenario: Scenario extraction from dataset through utilization of large language model,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Chat2scenario: Scenario extraction from dataset through utilization of large language model,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.333566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4d081559-64e0-4f1b-bf65-312e56500e00 · outbound
This paper cites Research on car-following model considering driving style,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Research on car-following model considering driving style,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.373741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1cef382a-7bd8-4ec3-9678-a8fd4b5f978f · outbound
This paper cites Optimal trajectory generation for dynamic street scenarios in a frenet frame,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Optimal trajectory generation for dynamic street scenarios in a frenet frame,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.381067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2f117686-1181-4481-85d1-fcddf287c579 · outbound
This paper cites Personalized lane-change as- sistance system with driver behavior identification,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Personalized lane-change as- sistance system with driver behavior identification,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.407969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2c1f9bea-1fc0-4598-a9f6-188d7078c247 · outbound
This paper cites Some methods of classification and analysis of mul- tivariate observations,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Some methods of classification and analysis of mul- tivariate observations,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.337093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f5220710-4958-448e-af7d-eecdb5e2c371 · outbound
This paper cites Development of a co-simulation framework for systematic generation of scenarios for testing and validation of automated driving systems,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios Development of a co-simulation framework for systematic generation of scenarios for testing and validation of automated driving systems,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.384800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 78d3e320-5e87-477c-b80a-72d4a03ef124 · outbound
This paper cites A communication-latency-aware co-simulation platform for safety and comfort evaluation of cloud-controlled icvs,.
A Large-Language-Model Supported Personalized Driving Framework for Lane Change in Highway Scenarios A communication-latency-aware co-simulation platform for safety and comfort evaluation of cloud-controlled icvs,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T21:21:26.342429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.