Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:32:33.380209Z
Paper Citation Record · LEDGER
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models
As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.07621.
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 2026-08-16T06:30:59.297886+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
31 of 31 outbound references displayed
- verified exact1
- verified fuzzy12
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6f17b84e-ea8b-4562-a9d7-4df5810a4400 · outbound
This paper cites an unresolved cited work.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T00:32:33.997495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 83fdd980-8759-4f05-885d-28f4d6d6f01f · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.259377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddfed32b-a5de-4d16-a7e6-d7d67cfe3a72 · outbound
This paper cites IEEE International Conference on Robotics and Automation (ICRA) (2026).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models IEEE International Conference on Robotics and Automation (ICRA) (2026)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.975850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2606130b-10a4-412f-b049-bc1adf0e5328 · outbound
This paper cites IEEE International Conference on Robotics and Automation (ICRA) (2026).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models IEEE International Conference on Robotics and Automation (ICRA) (2026)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.962240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ab68127-512e-4c4d-bbff-a9f0462c79c6 · outbound
This paper cites In: The Thirteenth International Conference on Learning Representations (2026).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: The Thirteenth International Conference on Learning Representations (2026)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.948544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2053c597-60de-4055-abbd-84aa38e0cf29 · outbound
This paper cites MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T00:32:33.797748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 46046b3b-8c04-4b61-bde6-6c8bad630913 · outbound
This paper cites In: Conference on Robot Learning (CoRL) (2017).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: Conference on Robot Learning (CoRL) (2017)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.934437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f910be9d-bc74-405b-856b-6c22e14cefcb · outbound
This paper cites International Journal of Vehicular Technology2014(1), 259465 (2014).https://doi.org/https://doi.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models International Journal of Vehicular Technology2014(1), 259465 (2014).https://doi.org/https://doi
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-11T00:32:33.430283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8c0bdd1-ecb5-4b75-a8ee-c59b636ad41a · outbound
This paper cites In: International Conference on Learning Representations (ICLR) (2022).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: International Conference on Learning Representations (ICLR) (2022)
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.289680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d967ce6f-cd9c-4d96-a707-795fdfcf4b66 · outbound
This paper cites arXiv preprint arXiv:2512.16760 (2025).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models arXiv preprint arXiv:2512.16760 (2025)
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.293222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 165d2445-7093-48ba-b272-a6bfebb5a88f · outbound
This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.910560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0ef0e541-a540-4419-ab42-65d23e7a0c64 · outbound
This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models EMMA: End-to-End Multimodal Model for Autonomous Driving
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.300525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a6bcb2e-36cb-4af7-8a22-a16ce2e57fd6 · outbound
This paper cites In: NeurIPS 2024 Datasets and Benchmarks Track (2024).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: NeurIPS 2024 Datasets and Benchmarks Track (2024)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.894745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70b61dbe-e6ae-412c-a717-594b4eccd5ad · outbound
This paper cites SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.308254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94a947ed-fbef-499f-90e6-aa3861f7806f · outbound
This paper cites CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.312942Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb20bf91-a209-4638-a38a-fd5adc18727f · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelli- gence47(8), 6566–6584 (2025).https://doi.org/10.1109/TPAMI.2025.3560327.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models IEEE Transactions on Pattern Analysis and Machine Intelli- gence47(8), 6566–6584 (2025).https://doi.org/10.1109/TPAMI.2025.3560327
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.317481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2da25354-c057-4e54-8bff-6d1916ef0615 · outbound
This paper cites Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.321798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b44bb43-1485-4233-85cf-802fd21dd4a9 · outbound
This paper cites In: Conference on Computer Vision and Pattern Recognition (CVPR) (2025).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: Conference on Computer Vision and Pattern Recognition (CVPR) (2025)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.879879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7d917ad0-2dcb-495a-b633-6de55ce3d33c · outbound
This paper cites In: Europian Conference on Computer Vision (ECCV) (2024).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: Europian Conference on Computer Vision (ECCV) (2024)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.866043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a88498a3-f17d-4bf9-bcd1-8515dfe1b064 · outbound
This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.334740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bab6815b-1735-476d-981a-4a5f34375b0f · outbound
This paper cites Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.339552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae4bcd7d-5f8e-4e7e-a2be-2adc09c6c3c5 · outbound
This paper cites In: European Conference on Computer Vision (ECCV) (2024).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: European Conference on Computer Vision (ECCV) (2024)
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.852432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eb21ae6f-8789-4062-a615-8613f665ca38 · outbound
This paper cites OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.347811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50da3f90-08bb-47bd-a1bf-fd80ca3bc96c · outbound
This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.839025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c3298f11-d50a-46f8-a97d-de6ca6a3c470 · outbound
This paper cites Qwen2 Technical Report.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models Qwen2 Technical Report
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.355913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cd1cc31-16de-49f0-84bd-39f9d2511363 · outbound
This paper cites In: 2025 IEEE/RSJ International Con- ference on Intelligent Robots and Systems (IROS).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: 2025 IEEE/RSJ International Con- ference on Intelligent Robots and Systems (IROS)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.824831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ebc5a5b4-7880-47d3-a9b3-f33111ee07d0 · outbound
This paper cites QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.363754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 995dfaba-ec09-4808-b481-9c4eee770bdf · outbound
This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.367721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e91d1a8-badd-4fa6-b1c1-4a4877b32547 · outbound
This paper cites V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:32:33.372053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09039246-8a2b-42f2-880b-b20a811d06bf · outbound
This paper cites TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction.
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction
Reference 30
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T00:32:33.449322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 50ae8670-95cf-43f6-a958-74d9ecb17620 · outbound
This paper cites In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024).
CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T00:32:33.810736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.