Paper Citation Record · LEDGER

Automated Vehicles Should be Connected with Natural Language

As of 17 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 4 inbound Pith citation observations for arXiv:2507.01059.

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

pith.paper-citation-record.v1
2507.01059 v1

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:48:59.767294Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:09:58.029537Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:29:50.254580Z

Reference resolution

100 of 103 outbound references displayed

verified exact1
verified fuzzy47
unresolved52
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59ef6f6e-2574-4092-b068-7bb17a171320 · outbound

This paper cites Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception.

Automated Vehicles Should be Connected with Natural Language Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:51.863966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d11ad907-8614-4133-b997-354a7dccb94a · outbound

This paper cites An efficient and provably secure ecc-based conditional privacy-preserving authentication for vehicle-to-vehicle com- munication in vanets.

Automated Vehicles Should be Connected with Natural Language An efficient and provably secure ecc-based conditional privacy-preserving authentication for vehicle-to-vehicle com- munication in vanets

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:51.918993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e38d6636-f240-41fd-bf89-a74491bd2ba2 · outbound

This paper cites Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey.

Automated Vehicles Should be Connected with Natural Language Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.003514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c349f67a-2ff2-431d-94c2-1d29cf9ba645 · outbound

This paper cites AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration.

Automated Vehicles Should be Connected with Natural Language AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.144588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd11cf0-ba85-443d-aba3-3580c7ae8eef · outbound

This paper cites Generative AI for Autonomous Driving: Frontiers and Opportunities.

Automated Vehicles Should be Connected with Natural Language Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.244207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 117d1d91-0a25-4f86-8004-ddc7c3ce1c10 · outbound

This paper cites AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics.

Automated Vehicles Should be Connected with Natural Language AI2-Active Safety: AI-enabled Interaction-aware Active Safety Analysis with Vehicle Dynamics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.350849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e82d7ea-7af0-4198-b80b-687cef628fdb · outbound

This paper cites Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning.

Automated Vehicles Should be Connected with Natural Language Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.420848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446f3b71-c04c-469d-b946-d4ad1f1d5c6c · outbound

This paper cites Physically analyzable ai-based nonlinear platoon dynamics modeling during traffic oscillation: A koopman approach.IEEE Transactions on Intelligent Transportation Systems, 2025.

Automated Vehicles Should be Connected with Natural Language Physically analyzable ai-based nonlinear platoon dynamics modeling during traffic oscillation: A koopman approach.IEEE Transactions on Intelligent Transportation Systems, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.526323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c694c67-d9b8-4529-b571-9af365807819 · outbound

This paper cites Optimal measurement of traffic hysteresis under traffic oscillations: A binary integer programming approach.

Automated Vehicles Should be Connected with Natural Language Optimal measurement of traffic hysteresis under traffic oscillations: A binary integer programming approach

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.668188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4689dc-97d0-4efa-a164-4302c05f0c8d · outbound

This paper cites Nonlinear oscillatory response of automated vehicle car-following: Theoretical analysis with traffic state and control input limits.

Automated Vehicles Should be Connected with Natural Language Nonlinear oscillatory response of automated vehicle car-following: Theoretical analysis with traffic state and control input limits

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.780907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb582bfd-7ef6-4502-a990-c74316158bdd · outbound

This paper cites DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving.

Automated Vehicles Should be Connected with Natural Language DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.885254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0faf9d8a-59af-4920-8923-894420621fb0 · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds.

Automated Vehicles Should be Connected with Natural Language Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:52.968691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e2811f4-d230-4e44-9271-30e6b2df9f88 · outbound

This paper cites Cooperative lidar object detection via feature sharing in deep networks.

Automated Vehicles Should be Connected with Natural Language Cooperative lidar object detection via feature sharing in deep networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.012987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d22f2f51-0a81-4f74-82a5-aa3adfdd93a0 · outbound

This paper cites When2com: Multi-agent perception via communication graph grouping.

Automated Vehicles Should be Connected with Natural Language When2com: Multi-agent perception via communication graph grouping

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.076041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef84d17c-d0f4-4f44-9c96-dcac694a04ee · outbound

This paper cites V2vnet: Vehicle-to-vehicle communication for joint perception and prediction.

Automated Vehicles Should be Connected with Natural Language V2vnet: Vehicle-to-vehicle communication for joint perception and prediction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.177520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e6d6179-1a8f-4353-aa63-c52ae2f536a9 · outbound

This paper cites Multimodal deep-learning for object recognition combining camera and lidar data.

Automated Vehicles Should be Connected with Natural Language Multimodal deep-learning for object recognition combining camera and lidar data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.254418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c34182a-0587-453d-ba4f-7b043c73fa02 · outbound

This paper cites Depth completion via inductive fusion of planar lidar and monocular camera.

Automated Vehicles Should be Connected with Natural Language Depth completion via inductive fusion of planar lidar and monocular camera

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.331592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e63275e-d30f-4041-8ea3-c32ae271bdab · outbound

This paper cites Dsd- net: Deep structured self-driving network.

Automated Vehicles Should be Connected with Natural Language Dsd- net: Deep structured self-driving network

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.403368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a871f8-e31b-4c0c-9159-0c92cfe7af69 · outbound

This paper cites Vips: Real-time perception fusion for infrastructure-assisted autonomous driving.

Automated Vehicles Should be Connected with Natural Language Vips: Real-time perception fusion for infrastructure-assisted autonomous driving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.491210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee041d5-ff22-432f-98d3-35e11f1f0fa3 · outbound

This paper cites We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving.

Automated Vehicles Should be Connected with Natural Language We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:49:01.231090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71ca11a4-aa73-42a3-9e6d-9b7288ad1889 · outbound

This paper cites Advancements and chal- lenges in achieving fully autonomous self-driving vehicles.

Automated Vehicles Should be Connected with Natural Language Advancements and chal- lenges in achieving fully autonomous self-driving vehicles

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.624885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7b1345-e4b1-412c-9b15-3ed7b2e86c06 · outbound

This paper cites Sequencing-enabled hierarchi- cal cooperative cav on-ramp merging control with enhanced stability and feasibility.

Automated Vehicles Should be Connected with Natural Language Sequencing-enabled hierarchi- cal cooperative cav on-ramp merging control with enhanced stability and feasibility

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.793137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e5ed0c-2d5a-4729-9cbb-923e40dc6544 · outbound

This paper cites Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen.

Automated Vehicles Should be Connected with Natural Language Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:53.923718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc341487-bc0e-4aac-b890-0de8b8317808 · outbound

This paper cites CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving.

Automated Vehicles Should be Connected with Natural Language CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.060647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9968ab-ad70-40fe-83e8-a5f44e95560a · outbound

This paper cites Talking vehicles: Cooperative driving via natural language, 2025.

Automated Vehicles Should be Connected with Natural Language Talking vehicles: Cooperative driving via natural language, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.227026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c91104-5948-4156-8d02-3d09f4174e37 · outbound

This paper cites LangCoop: Collaborative Driving with Language.

Automated Vehicles Should be Connected with Natural Language LangCoop: Collaborative Driving with Language

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.384261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb740acb-d8b3-4589-b0c6-f0fae717b171 · outbound

This paper cites Openemma: Open-source multimodal model for end-to-end autonomous driving.

Automated Vehicles Should be Connected with Natural Language Openemma: Open-source multimodal model for end-to-end autonomous driving

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.541992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 634c103d-5b59-46ce-adcd-3608bdacdb8d · outbound

This paper cites Drivelm: Driving with graph visual question answering.

Automated Vehicles Should be Connected with Natural Language Drivelm: Driving with graph visual question answering

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.671031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eed6d6d-d34b-4e2b-815d-f21202db4b5c · outbound

This paper cites Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving.

Automated Vehicles Should be Connected with Natural Language Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.779005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59f44894-cb22-40bf-8fff-bf0a0858f952 · outbound

This paper cites Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving.

Automated Vehicles Should be Connected with Natural Language Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.881105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cabeb626-d188-4fa2-b1b4-c3e129bbac8c · outbound

This paper cites NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving.

Automated Vehicles Should be Connected with Natural Language NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:54.924418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7493bfc5-7df8-4bb5-a569-8f9d111a4c80 · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook.

Automated Vehicles Should be Connected with Natural Language Vision language models in autonomous driving: A survey and outlook

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:55.042895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da13d688-d82b-49be-b007-8e9afa2e2f31 · outbound

This paper cites Object classification using cnn-based fusion of vision and lidar in autonomous vehicle environment.

Automated Vehicles Should be Connected with Natural Language Object classification using cnn-based fusion of vision and lidar in autonomous vehicle environment

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:55.131785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c5a19c1-c596-4959-aff6-5f56742407f5 · outbound

This paper cites Cooperative percep- tion for 3d object detection in driving scenarios using infrastructure sensors.IEEE Transactions on Intelligent Transportation Systems, 23(3):1852–1864, 2020.

Automated Vehicles Should be Connected with Natural Language Cooperative percep- tion for 3d object detection in driving scenarios using infrastructure sensors.IEEE Transactions on Intelligent Transportation Systems, 23(3):1852–1864, 2020

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:55.187616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fa5e41b-852b-4cdf-b2a5-ed4ba0e48a6d · outbound

This paper cites Why anticipatory sensing matters in commercial acc systems under cut-in scenarios: A perspective from stochastic safety analysis.

Automated Vehicles Should be Connected with Natural Language Why anticipatory sensing matters in commercial acc systems under cut-in scenarios: A perspective from stochastic safety analysis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:55.243861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aac0033b-95f8-4ea5-91ea-fd70ea10c37c · outbound

This paper cites A temporal fusion transformer for short-term freeway traffic speed multistep prediction.

Automated Vehicles Should be Connected with Natural Language A temporal fusion transformer for short-term freeway traffic speed multistep prediction

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:55.369709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff0ef2c-1e93-4e6b-8b7f-73314e6713df · outbound

This paper cites Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities.

Automated Vehicles Should be Connected with Natural Language Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:55.551527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d07e390-3ec4-4f38-9851-9c882dca5ca5 · outbound

This paper cites Model-agnostic multi-agent perception framework.

Automated Vehicles Should be Connected with Natural Language Model-agnostic multi-agent perception framework

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:11.478642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31036f8b-3d09-4fa2-a403-1319a48b7548 · outbound

This paper cites Uncertainty quantification of collaborative detection for self-driving.

Automated Vehicles Should be Connected with Natural Language Uncertainty quantification of collaborative detection for self-driving

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:11.173762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f411b8d1-726d-4f68-97ef-279af31799ac · outbound

This paper cites Collaborative multi-object tracking with conformal uncertainty propagation.

Automated Vehicles Should be Connected with Natural Language Collaborative multi-object tracking with conformal uncertainty propagation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:10.859219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f115d14-553e-4bd4-ae1e-7500a1ee24fb · outbound

This paper cites Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving.

Automated Vehicles Should be Connected with Natural Language Occ3d: A large-scale 3d occupancy prediction benchmark for autonomous driving

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:10.631796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e02210b5-26a4-40d9-b407-dad42bddd63d · outbound

This paper cites Accurate training data for occupancy map prediction in automated driving using evidence theory.

Automated Vehicles Should be Connected with Natural Language Accurate training data for occupancy map prediction in automated driving using evidence theory

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:10.395031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 562b4431-f1db-4445-b0dd-0155707f2486 · outbound

This paper cites Bevsegformer: Bird’s eye view semantic segmentation from arbitrary camera rigs.

Automated Vehicles Should be Connected with Natural Language Bevsegformer: Bird’s eye view semantic segmentation from arbitrary camera rigs

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:10.204176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 945678c0-9ce1-49b8-a521-ed71111c2bae · outbound

This paper cites Clft: Camera-lidar fusion trans- former for semantic segmentation in autonomous driving.

Automated Vehicles Should be Connected with Natural Language Clft: Camera-lidar fusion trans- former for semantic segmentation in autonomous driving

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:10.064329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c77d1d57-638f-4ca8-a011-485cb7419038 · outbound

This paper cites Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving.

Automated Vehicles Should be Connected with Natural Language Sscbench: A large-scale 3d semantic scene completion benchmark for autonomous driving

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:09.940210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4aeebd55-422a-4f04-9010-a2482976f12f · outbound

This paper cites Where2comm: Communication-efficient collaborative perception via spatial confidence maps.

Automated Vehicles Should be Connected with Natural Language Where2comm: Communication-efficient collaborative perception via spatial confidence maps

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:09.743799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5aaddfd-4f6e-45f2-b043-aed32d4a19df · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer.

Automated Vehicles Should be Connected with Natural Language V2x-vit: Vehicle-to-everything cooperative perception with vision transformer

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:09.501319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 056fc163-8083-4c7a-ba22-6f17cba45395 · outbound

This paper cites CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception.

Automated Vehicles Should be Connected with Natural Language CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:56.363942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33fc4d99-970a-4cab-9b2f-7741f349a760 · outbound

This paper cites Cobevt: Cooperative bird’s eye view semantic segmentation with sparse transformers.

Automated Vehicles Should be Connected with Natural Language Cobevt: Cooperative bird’s eye view semantic segmentation with sparse transformers

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:09.349063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be78e85e-32c4-464b-b9d0-34d2304a2265 · outbound

This paper cites An Extensible Framework for Open Heterogeneous Collaborative Perception.

Automated Vehicles Should be Connected with Natural Language An Extensible Framework for Open Heterogeneous Collaborative Perception

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:56.481610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e173a2b2-7bbc-413c-88af-e30d2c5cbe45 · outbound

This paper cites STAMP: Scalable Task And Model-agnostic Collaborative Perception.

Automated Vehicles Should be Connected with Natural Language STAMP: Scalable Task And Model-agnostic Collaborative Perception

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:56.522870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c16ceef-80c5-4823-b7c1-df71a6bef394 · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication.

Automated Vehicles Should be Connected with Natural Language Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:09.161810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1ac0356-f91e-454d-ad96-b4a2021bee6f · outbound

This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception.

Automated Vehicles Should be Connected with Natural Language V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:08.917863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0326600-ac3c-4442-a5a1-63f3d0d53f5b · outbound

This paper cites V2x-real: a largs-scale dataset for vehicle-to- everything cooperative perception.

Automated Vehicles Should be Connected with Natural Language V2x-real: a largs-scale dataset for vehicle-to- everything cooperative perception

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:08.670625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cce8ffc6-1c28-489b-bed8-92c63113e3e2 · outbound

This paper cites UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection.

Automated Vehicles Should be Connected with Natural Language UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:56.786968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f3b415-a8b8-4875-b5f2-24e1020e66d1 · outbound

This paper cites an unresolved cited work.

Automated Vehicles Should be Connected with Natural Language Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:49:08.384740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f686f93-0106-431d-8a97-54348831138a · outbound

This paper cites C-v2x use cases, methodology, and service level requirements, 2020.

Automated Vehicles Should be Connected with Natural Language C-v2x use cases, methodology, and service level requirements, 2020

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:08.182089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50d43c1b-a471-4d4b-b6d5-0287dafd7663 · outbound

This paper cites Bridging the domain gap for multi-agent perception.

Automated Vehicles Should be Connected with Natural Language Bridging the domain gap for multi-agent perception

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:07.930856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dac2044a-2d1b-4880-b855-9fbade696fd0 · outbound

This paper cites V2X Communications Message Set Dictionary.

Automated Vehicles Should be Connected with Natural Language V2X Communications Message Set Dictionary

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:07.702726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4cc9b375-958b-4307-b84b-339fdc87e392 · outbound

This paper cites Parker, Bin Ran, David A.

Automated Vehicles Should be Connected with Natural Language Parker, Bin Ran, David A

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:07.503556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b683802-ec69-4798-a4c8-84bca6583ba2 · outbound

This paper cites Parker, and David A.

Automated Vehicles Should be Connected with Natural Language Parker, and David A

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:07.286621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a06f0c78-bd94-4847-9b12-66e66f3c07fe · outbound

This paper cites V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors.

Automated Vehicles Should be Connected with Natural Language V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:57.281694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c7a4ce3-52b8-410b-a1ac-77d6d795a336 · outbound

This paper cites Negotiation of drivable areas of cooperative ve- hicles for conflict resolution.

Automated Vehicles Should be Connected with Natural Language Negotiation of drivable areas of cooperative ve- hicles for conflict resolution

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:06.987383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 909e1b75-13c9-48f5-9b4b-4f2d0c8c3f25 · outbound

This paper cites Vehicle-to-Everything Cooperative Perception for Autonomous Driving.

Automated Vehicles Should be Connected with Natural Language Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:57.394059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf4f24b-2f3d-4f6a-8493-ec17c12b8aa0 · outbound

This paper cites Virtual Roads, Smarter Safety: A Digital Twin Framework for Mixed Autonomous Traffic Safety Analysis.

Automated Vehicles Should be Connected with Natural Language Virtual Roads, Smarter Safety: A Digital Twin Framework for Mixed Autonomous Traffic Safety Analysis

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:57.461538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece70be2-05df-48bb-93ee-c01d6417fd37 · outbound

This paper cites Rochim, and Charisma T.

Automated Vehicles Should be Connected with Natural Language Rochim, and Charisma T

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:06.753973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0ba8c687-95dc-49fb-8ff8-1bcbebbd777c · outbound

This paper cites Collaborative autonomous driving—a survey of solution approaches and future challenges.

Automated Vehicles Should be Connected with Natural Language Collaborative autonomous driving—a survey of solution approaches and future challenges

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:06.488592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f27c44f-682e-4e48-88bc-3a6e03795a25 · outbound

This paper cites Autotrust: Benchmarking trustworthiness in large vision language models for autonomous driving.

Automated Vehicles Should be Connected with Natural Language Autotrust: Benchmarking trustworthiness in large vision language models for autonomous driving

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:57.651365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f99bdd8-8c82-4e36-a5ef-b49effb683d1 · outbound

This paper cites Stalled waymo creates traffic chaos in the mission.

Automated Vehicles Should be Connected with Natural Language Stalled waymo creates traffic chaos in the mission

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:06.216521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 794b6bec-7ca1-4645-ba06-e21db619829b · outbound

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

Automated Vehicles Should be Connected with Natural Language Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:05.980392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5eb64349-d891-407b-9c37-4a9e3417da12 · outbound

This paper cites Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving.

Automated Vehicles Should be Connected with Natural Language Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:05.749695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e4285e3-8481-4d4b-85aa-425f9f0a2e2c · outbound

This paper cites V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models.

Automated Vehicles Should be Connected with Natural Language V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:57.899715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31030500-0daa-455d-86a8-16531386f8ba · outbound

This paper cites V2v-llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models.

Automated Vehicles Should be Connected with Natural Language V2v-llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:57.958879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f8921c-67b3-49fe-bc00-eb0b5cc4efc0 · outbound

This paper cites Feder- ated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications.

Automated Vehicles Should be Connected with Natural Language Feder- ated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:05.535913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d35ffe88-3a42-42bb-8c8f-97a749c5fa9f · outbound

This paper cites A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions.

Automated Vehicles Should be Connected with Natural Language A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:05.348756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9abcf86-64ca-4c06-934b-9f39072e07e5 · outbound

This paper cites Context-aware resource allocation for vehicle-to-vehicle communications in cellular-v2x networks.

Automated Vehicles Should be Connected with Natural Language Context-aware resource allocation for vehicle-to-vehicle communications in cellular-v2x networks

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:05.176859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de5f3d4f-a64b-477a-b021-ec9b5fe233c5 · outbound

This paper cites Palm-e: An embodied multimodal language model.

Automated Vehicles Should be Connected with Natural Language Palm-e: An embodied multimodal language model

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:04.998380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab88e11d-fd1e-4e6c-a27f-f60ecb389dad · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Automated Vehicles Should be Connected with Natural Language Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:58.274924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66287432-2a6c-40c8-8301-2487b9073e60 · outbound

This paper cites On 5g-v2x use cases and enabling technologies: A comprehensive survey.

Automated Vehicles Should be Connected with Natural Language On 5g-v2x use cases and enabling technologies: A comprehensive survey

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:04.857579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 147ff5cf-1668-426d-a487-e08e91014551 · outbound

This paper cites Queue length estimation for signalized intersections under partially connected vehicle environment.

Automated Vehicles Should be Connected with Natural Language Queue length estimation for signalized intersections under partially connected vehicle environment

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:04.701487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50a4acd2-feb0-408a-9148-0a39f731675c · outbound

This paper cites Advancing vulnerable road users safety: Interdisciplinary review on v2x communication and trajectory prediction.

Automated Vehicles Should be Connected with Natural Language Advancing vulnerable road users safety: Interdisciplinary review on v2x communication and trajectory prediction

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:04.508095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 493007c6-ba68-497e-91da-3fb219b6b9e1 · outbound

This paper cites Deep learning enabled semantic communication systems.

Automated Vehicles Should be Connected with Natural Language Deep learning enabled semantic communication systems

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:04.308786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82c0a38e-6163-4e32-a1b3-a38c8cbae6be · outbound

This paper cites Manual on uniform traffic control devices.

Automated Vehicles Should be Connected with Natural Language Manual on uniform traffic control devices

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:04.107487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e841517b-5bb6-48d9-a2b6-c98d63dca0bb · outbound

This paper cites Cognitive design features on traffic signs.

Automated Vehicles Should be Connected with Natural Language Cognitive design features on traffic signs

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:03.878990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11bfb3fe-3d81-426c-b42b-9f1818bc4c8e · outbound

This paper cites Impacts of automated vehicles on highway infrastructure.

Automated Vehicles Should be Connected with Natural Language Impacts of automated vehicles on highway infrastructure

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:03.719975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7adf244c-2766-42e5-aeda-41dc2be34c9a · outbound

This paper cites Assessing the barriers and implications of autonomous vehicles: Implementation in sustainable cities.

Automated Vehicles Should be Connected with Natural Language Assessing the barriers and implications of autonomous vehicles: Implementation in sustainable cities

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:03.565077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74ca2f3e-4e4e-4ade-8917-2794d0ea4861 · outbound

This paper cites A vision–language model-based traffic sign detection method for high-resolution drone images: A case study in guyuan, china.

Automated Vehicles Should be Connected with Natural Language A vision–language model-based traffic sign detection method for high-resolution drone images: A case study in guyuan, china

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:03.407028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 87c86fa1-6c19-48db-b2ac-17f597860076 · outbound

This paper cites Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models.

Automated Vehicles Should be Connected with Natural Language Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:58.927138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42e8001-d8b4-4068-82cf-2757a525fe9d · outbound

This paper cites Pragmatic Communication in Multi-Agent Collaborative Perception.

Automated Vehicles Should be Connected with Natural Language Pragmatic Communication in Multi-Agent Collaborative Perception

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:58.982005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a2b793-6884-4003-9df9-4ec40c5ab58a · outbound

This paper cites Game-theoretic LLM: Agent Workflow for Negotiation Games.

Automated Vehicles Should be Connected with Natural Language Game-theoretic LLM: Agent Workflow for Negotiation Games

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:59.056961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b19c027-0ecb-414b-b27e-7a4930f239ad · outbound

This paper cites Modeling lane-changing behavior in a connected environment: A game theory approach.

Automated Vehicles Should be Connected with Natural Language Modeling lane-changing behavior in a connected environment: A game theory approach

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:03.188394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 053f43bf-9f56-483b-bab1-67ecfea0d05c · outbound

This paper cites Cooperative driving of connected autonomous vehicles in heterogeneous mixed traffic: A game theoretic approach.

Automated Vehicles Should be Connected with Natural Language Cooperative driving of connected autonomous vehicles in heterogeneous mixed traffic: A game theoretic approach

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:03.037805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a06478c4-0d35-4326-b468-a6cca07c2fb2 · outbound

This paper cites Game theoretic application to intersection management: A literature review.

Automated Vehicles Should be Connected with Natural Language Game theoretic application to intersection management: A literature review

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:02.830676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5df0a89d-6e05-47a0-a854-e7f51daa77e2 · outbound

This paper cites Emergency vehicle lane pre- clearing: From microscopic cooperation to routing decision making.

Automated Vehicles Should be Connected with Natural Language Emergency vehicle lane pre- clearing: From microscopic cooperation to routing decision making

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:02.655435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 854282ac-b816-4d12-b1ea-c9531fcd30ef · outbound

This paper cites The cooperative sorting strategy for connected and automated vehicle platoons.

Automated Vehicles Should be Connected with Natural Language The cooperative sorting strategy for connected and automated vehicle platoons

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:02.501776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d0a6975-63ab-465e-bce2-83d299f2ffe4 · outbound

This paper cites Large language models powered context-aware motion prediction in autonomous driving.

Automated Vehicles Should be Connected with Natural Language Large language models powered context-aware motion prediction in autonomous driving

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:02.339008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4abe37f-2565-4cc5-921b-f56df8e43bbb · outbound

This paper cites Cross-and context-aware attention based spatial- temporal graph convolutional networks for human mobility prediction.

Automated Vehicles Should be Connected with Natural Language Cross-and context-aware attention based spatial- temporal graph convolutional networks for human mobility prediction

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:02.159163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0837b6c2-3951-420d-80d9-02f556e4e347 · outbound

This paper cites Stackelberg game-theoretic trajectory guidance for multi-robot systems with koopman operator.

Automated Vehicles Should be Connected with Natural Language Stackelberg game-theoretic trajectory guidance for multi-robot systems with koopman operator

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:01.947963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7541cf1-5fcc-41b1-9504-6066dc79b838 · outbound

This paper cites Gtp-udrive: Unified game-theoretic trajectory planner and decision-maker for autonomous driving in mixed traffic environments.

Automated Vehicles Should be Connected with Natural Language Gtp-udrive: Unified game-theoretic trajectory planner and decision-maker for autonomous driving in mixed traffic environments

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:49:01.784765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33324089-59ab-45ff-a215-e38946e15f34 · outbound

This paper cites On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation.

Automated Vehicles Should be Connected with Natural Language On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T21:48:59.767294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 3e7aedbe-fe73-457e-825b-39e52c18a841 · inbound

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving cites this paper.

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving Automated Vehicles Should be Connected with Natural Language

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:58.029537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05be21b-4990-4194-886e-911b00d90a8d · inbound

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition cites this paper.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition Automated Vehicles Should be Connected with Natural Language

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:00.756335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa72042-2c98-4c4b-bb0e-667f7dfc6bbd · inbound

Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation cites this paper.

Unleashing Hierarchical Reasoning: An LLM-Driven Framework for Training-Free Referring Video Object Segmentation Automated Vehicles Should be Connected with Natural Language

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T05:09:31.627078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d888f52-a084-46d0-98b2-164daa2e05d3 · inbound

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs cites this paper.

Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs Automated Vehicles Should be Connected with Natural Language

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:29:50.256340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.