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Paper Citation Record · LEDGER

LangCoop: Collaborative Driving with Language

As of 17 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 7 inbound Pith citation observations for arXiv:2504.13406.

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

pith.paper-citation-record.v1
2504.13406 v2

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:52.475726Z

measured 84 of 84 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:07.233336Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:38.024006Z

Reference resolution

77 of 77 outbound references displayed

  • verified exact1
  • verified fuzzy40
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b04fc122-5e5b-4b32-8726-71bdcdd8701f · outbound

This paper cites Cooperative perception for 3d object detection in driving scenarios using infrastructure sen- sors.

LangCoop: Collaborative Driving with Language Cooperative perception for 3d object detection in driving scenarios using infrastructure sen- sors

Reference 1

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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.

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Observation ad4a8298-8616-4b3f-9dd4-7c923a08f637 · outbound

This paper cites Pillargrid: Deep learning-based cooperative perception for 3d object detection from onboard-roadside lidar.

LangCoop: Collaborative Driving with Language Pillargrid: Deep learning-based cooperative perception for 3d object detection from onboard-roadside lidar

Reference 2

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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.

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Observation 518a0d1e-c660-47b2-a364-992ecbccf273 · outbound

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

LangCoop: Collaborative Driving with Language Cooper: Cooperative perception for connected autonomous vehi- cles based on 3d point clouds

Reference 3

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

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Observation d7cf5a68-cbf5-49a8-8d48-30ceb5b993ab · outbound

This paper cites V2v-llm: Vehicle-to-vehicle cooperative au- tonomous driving with multi-modal large language mod- els.

LangCoop: Collaborative Driving with Language V2v-llm: Vehicle-to-vehicle cooperative au- tonomous driving with multi-modal large language mod- els

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T12:13:52.201303Z digest=sha256:02aedf0bd180a48f90d1902b42e032758ae14562dd18b3c0cec60b5ba415dea7

Observation 599c66fc-5a31-44d9-8b4b-24997be8f65b · outbound

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

LangCoop: Collaborative Driving with Language On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation

Reference 5

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source=pdf_text observed=2026-08-16T12:13:52.206063Z digest=sha256:32ce5c7108301957346ecf366060ecc141979c20043ff1d2194feb9a92f617b7

Observation a5b24a5b-6ec5-4e34-b372-5620165e7c01 · outbound

This paper cites Coopernaut: End-to-end driving with cooperative perception for networked vehicles.

LangCoop: Collaborative Driving with Language Coopernaut: End-to-end driving with cooperative perception for networked vehicles

Reference 6

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source=pdf_text observed=2026-08-16T12:13:52.209952Z digest=sha256:001b95d4c3afbe5fd8c45c2f99e9217868cf21f61b28262f7eca1126ce08a99f

Observation 57c53b18-726b-46a0-abdc-8f63418b4b2e · outbound

This paper cites Talk- ing vehicles: Cooperative driving via natural language,.

LangCoop: Collaborative Driving with Language Talk- ing vehicles: Cooperative driving via natural language,

Reference 7

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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.

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Observation e112dbea-fdac-497c-9c04-636fe7905072 · outbound

This paper cites Generative AI in Transportation Planning: A Survey.

LangCoop: Collaborative Driving with Language Generative AI in Transportation Planning: A Survey

Reference 8

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source=pdf_text observed=2026-08-16T12:13:52.217137Z digest=sha256:288620be6eb0236dc1432374b19bb2d2b0ebb9910217090935e03aaf3070eb60

Observation cf8c0b1f-bb5a-4851-acbd-04addf9c66ef · outbound

This paper cites Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs.

LangCoop: Collaborative Driving with Language Generalizing End-To-End Autonomous Driving In Real-World Environments Using Zero-Shot LLMs

Reference 9

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source=pdf_text observed=2026-08-16T12:13:52.221080Z digest=sha256:f00150db75ff344d72be7983a00b89d11bf5c3c0631acb10c7808f1d0692453d

Observation eb6fddcb-6102-4369-8b96-19db464ec43a · outbound

This paper cites Carla: An open ur- ban driving simulator.

LangCoop: Collaborative Driving with Language Carla: An open ur- ban driving simulator

Reference 10

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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.

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Observation 73447a2b-c5f5-40fe-a9be-472cd059e1eb · outbound

This paper cites Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs.

LangCoop: Collaborative Driving with Language Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs

Reference 11

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source=pdf_text observed=2026-08-16T12:13:52.228410Z digest=sha256:4bd4e1e6ab2049a4b075ac71094548753b94817c732d72a43b16ce97941e2c3c

Observation acfaef5b-03bc-40f1-8e1f-e712e5e81241 · outbound

This paper cites Towards interactive and learnable cooperative driving automation: a large lan- guage model-driven decision-making framework.

LangCoop: Collaborative Driving with Language Towards interactive and learnable cooperative driving automation: a large lan- guage model-driven decision-making framework

Reference 12

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source=pdf_text observed=2026-08-16T12:13:52.232505Z digest=sha256:76bd20e47b62594ca39e6f7f2804d45d77281256db54b988b5f007faad9edd4c

Observation e66b56d5-1698-4630-8a12-ea56df59b6ec · outbound

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

LangCoop: Collaborative Driving with Language Depth completion via inductive fusion of planar lidar and monocular camera

Reference 13

Resolution
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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.

source=pdf_text observed=2026-08-16T12:13:52.236034Z digest=sha256:d0aa40bb89dea70c9d95e455311e25aa5231b7c4bcea915394f032c0b2fd9396

Observation 8bbbd6d4-a6b6-4e96-8f41-fe52d11e1e4e · outbound

This paper cites Object classification using cnn-based fusion of vision and lidar in autonomous vehi- 9 cle environment.

LangCoop: Collaborative Driving with Language Object classification using cnn-based fusion of vision and lidar in autonomous vehi- 9 cle environment

Reference 14

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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.

source=pdf_text observed=2026-08-16T12:13:52.239513Z digest=sha256:2f6cda9a85e2db7ee30b5cd93a2d54bfa1501f76e91a7994a51d1bb8a974f7c1

Observation abe2a678-e7c6-454c-bdd3-bf657434b88a · outbound

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

LangCoop: Collaborative Driving with Language STAMP: Scalable Task And Model-agnostic Collaborative Perception

Reference 15

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source=pdf_text observed=2026-08-16T12:13:52.242938Z digest=sha256:1706f686d8b84a19007e2aaac93726543550163261b238cc14934a8eccbeb564

Observation dfc5fe00-f7d9-4fe0-a0b2-bcefb9faf2f0 · outbound

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

LangCoop: Collaborative Driving with Language We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving

Reference 16

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source=pdf_text observed=2026-08-16T12:13:52.246590Z digest=sha256:604ce41dfae2dbac32ddfc74c7e514cf3b5ea6e442d158cb85142fd8cd03906b

Observation e15822fe-f71d-4f9a-9544-e73cfe9b971f · outbound

This paper cites The llama 3 herd of models.

LangCoop: Collaborative Driving with Language The llama 3 herd of models

Reference 17

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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.

source=pdf_text observed=2026-08-16T12:13:52.250695Z digest=sha256:6332395087394e6175a93a48571fe21dc0d1f61100956e0912f13a62ddcd81b7

Observation 12c3fc67-cd24-4c3a-8b06-32ce8c3acfaa · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LangCoop: Collaborative Driving with Language DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 18

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Observation 2780e632-ecc6-4f89-8deb-74d0f1b3cb83 · outbound

This paper cites Coff: Cooperative spatial feature fu- sion for 3-d object detection on autonomous vehicles.

LangCoop: Collaborative Driving with Language Coff: Cooperative spatial feature fu- sion for 3-d object detection on autonomous vehicles

Reference 19

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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.

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Observation 46a9d84c-6016-4298-bf45-1ae7187a443f · outbound

This paper cites AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning.

LangCoop: Collaborative Driving with Language AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 20

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Observation 9272e975-a07a-40d3-9154-e9f044eaf0e4 · outbound

This paper cites Collaboration helps camera overtake lidar in 3d detection.

LangCoop: Collaborative Driving with Language Collaboration helps camera overtake lidar in 3d detection

Reference 21

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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.

source=pdf_text observed=2026-08-16T12:13:52.265128Z digest=sha256:5f415fa9815be00c72896ac9df7e705b2a6e4e7adbe38602c73b53f14fd4b86f

Observation b61366b2-bf51-4053-b7a0-ba9b5b7b30e9 · outbound

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

LangCoop: Collaborative Driving with Language Pragmatic Communication in Multi-Agent Collaborative Perception

Reference 22

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source=pdf_text observed=2026-08-16T12:13:52.269062Z digest=sha256:2f20397ea4f9fd82aba0c206140d782a1b156396ffe0b0495a75f56f864d4365

Observation 92bb2964-a12c-4004-847a-0f611f507e79 · outbound

This paper cites On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

LangCoop: Collaborative Driving with Language On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Reference 23

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source=pdf_text observed=2026-08-16T12:13:52.272598Z digest=sha256:d7093efc33d3e02384995d9fb96771b25595532551a4035fe74791086bc342a0

Observation 3815dd36-7a35-47b2-9ba1-673fc83130e0 · outbound

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

LangCoop: Collaborative Driving with Language EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 24

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source=pdf_text observed=2026-08-16T12:13:52.276184Z digest=sha256:105d80147cd9d2ca9ced432876b30a5f4b411d448266bf563f49b0f5fd54c623

Observation 2dccee02-bec2-4709-a4fd-29fd4cb5f24f · outbound

This paper cites Alphadrive: Unleashing the power of vlms in autonomous driving via reinforcement learning and reasoning, 2025.

LangCoop: Collaborative Driving with Language Alphadrive: Unleashing the power of vlms in autonomous driving via reinforcement learning and reasoning, 2025

Reference 25

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

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Observation ef51a859-ff5e-4bc7-9548-bebacd27db79 · outbound

This paper cites Traj-llm: A new exploration for empowering trajectory prediction with pre-trained large language models.

LangCoop: Collaborative Driving with Language Traj-llm: A new exploration for empowering trajectory prediction with pre-trained large language models

Reference 26

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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.

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Observation 6ef2ea16-9c95-4e2e-a7fc-829b18d8d28b · outbound

This paper cites Large Language Models for Human-like Autonomous Driving: A Survey.

LangCoop: Collaborative Driving with Language Large Language Models for Human-like Autonomous Driving: A Survey

Reference 27

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Observation 14179918-f141-42b5-8bff-5efee9f95ef1 · outbound

This paper cites Generative ai-driven semantic communication networks: Architecture, technologies and applications.IEEE Trans- actions on Cognitive Communications and Networking ,.

LangCoop: Collaborative Driving with Language Generative ai-driven semantic communication networks: Architecture, technologies and applications.IEEE Trans- actions on Cognitive Communications and Networking ,

Reference 28

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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.

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Observation 791aa59e-aacd-40e8-b2d6-f224305ac9b5 · outbound

This paper cites Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System.

LangCoop: Collaborative Driving with Language Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System

Reference 29

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Observation eb72d520-c615-4054-8aae-edd925b27cd5 · outbound

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

LangCoop: Collaborative Driving with Language Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception

Reference 30

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Observation 520fd909-ff7e-4b7e-a48c-3bea9f41fc3d · outbound

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

LangCoop: Collaborative Driving with Language An Extensible Framework for Open Heterogeneous Collaborative Perception

Reference 31

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Observation ce3fa553-0729-448a-8487-672dc006f3fb · outbound

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

LangCoop: Collaborative Driving with Language Senserag: Con- structing environmental knowledge bases with proactive querying for llm-based autonomous driving

Reference 32

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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.

source=pdf_text observed=2026-08-16T12:13:52.309120Z digest=sha256:3c3752847c5cadcd29e099d5b850db812ac46354f1ddd06ea7f98791c05a2b6b

Observation e7207b56-b5ac-41ee-9978-29a85bf16db4 · outbound

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

LangCoop: Collaborative Driving with Language Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

Reference 33

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Observation 05a024ab-487a-425b-9b23-b1e825f78f58 · outbound

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

LangCoop: Collaborative Driving with Language Multimodal deep-learning for object recog- nition combining camera and lidar data

Reference 34

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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.

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Observation 17c510ef-24cd-4ecb-96a6-b25b14c25be5 · outbound

This paper cites Introducing chatgpt.

LangCoop: Collaborative Driving with Language Introducing chatgpt

Reference 35

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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.

source=pdf_text observed=2026-08-16T12:13:52.320583Z digest=sha256:01ff8ed440c4a6599ceb75f15dcfe138e285120399b1f9e40be9a7a5617af2cc

Observation 20116d2e-afab-41d5-a951-8060109e110a · outbound

This paper cites Gpt-4o-mini, 2024.

LangCoop: Collaborative Driving with Language Gpt-4o-mini, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.377858Z

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.

source=pdf_text observed=2026-08-16T12:13:52.324092Z digest=sha256:d7dac9ddba45fae4bc65590b0121bccfa0e90cf37c465856e45de674cdc4be7d

Observation d4355139-a8d5-4fd3-9610-5ecc686cd1d5 · outbound

This paper cites V2X Communications Message Set Dictionary.

LangCoop: Collaborative Driving with Language V2X Communications Message Set Dictionary

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.365818Z

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.

source=pdf_text observed=2026-08-16T12:13:52.327289Z digest=sha256:76ea302c6dd6598bf2d4e9de792cf33ce0ff4e179f765d80f41cc548fe0a867a

Observation b71f94a5-e9ac-49d7-bfff-6db36c60c2a1 · outbound

This paper cites Lm- drive: Closed-loop end-to-end driving with large lan- guage models.

LangCoop: Collaborative Driving with Language Lm- drive: Closed-loop end-to-end driving with large lan- guage models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.353519Z

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.

source=pdf_text observed=2026-08-16T12:13:52.330542Z digest=sha256:11e98091751cb1fc0a4d5af06d3a2a8b69bf3156b502b487a28bd1e587392c6f

Observation cf51ad53-b95e-4c0d-9f03-48bdb6398340 · outbound

This paper cites Vips: Real-time perception fusion for infrastructure-assisted 10 autonomous driving.

LangCoop: Collaborative Driving with Language Vips: Real-time perception fusion for infrastructure-assisted 10 autonomous driving

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.341369Z

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.

source=pdf_text observed=2026-08-16T12:13:52.333874Z digest=sha256:11a41a846db43193e058574089973d3d0f844ea2cbb66983ded272d575cc7491

Observation e3674624-f89c-45a4-87b2-883fbbacb248 · outbound

This paper cites Drivelm: Driv- ing with graph visual question answering.

LangCoop: Collaborative Driving with Language Drivelm: Driv- ing with graph visual question answering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.328649Z

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.

source=pdf_text observed=2026-08-16T12:13:52.337147Z digest=sha256:a61ad5ad8a0b047446cf5c2d6c5523c65cf878c169d3629594e6dadf05972fcb

Observation 23fd56e2-0138-4640-91db-2c87aacccaf0 · outbound

This paper cites Collaborative semantic occupancy prediction with hybrid feature fusion in connected automated vehicles.

LangCoop: Collaborative Driving with Language Collaborative semantic occupancy prediction with hybrid feature fusion in connected automated vehicles

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.316603Z

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.

source=pdf_text observed=2026-08-16T12:13:52.341345Z digest=sha256:65353ab5fce341d50c9531bdeae014b69adbe6f99626d142fedc75fb743c2dd6

Observation f8926497-3f2b-4080-a541-cf124fe5315e · outbound

This paper cites Stalled waymo creates traf- fic chaos in the mission.

LangCoop: Collaborative Driving with Language Stalled waymo creates traf- fic chaos in the mission

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.304044Z

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.

source=pdf_text observed=2026-08-16T12:13:52.344892Z digest=sha256:d8d75c10106f3096ca3a652e4fe5c90c2dd0ad47c9be6036c578fd7d9b0fc823

Observation b5bde94c-a4c8-4c19-b3d0-3c7347788893 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

LangCoop: Collaborative Driving with Language Gemini: A Family of Highly Capable Multimodal Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.348229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.348229Z digest=sha256:4783ebb60a547a7e46a7787afbbe3716311a0effbafde01167d516c59aa5292a

Observation 76432fbf-3586-4397-b64d-0a4f1914c3c6 · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

LangCoop: Collaborative Driving with Language DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.351835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.351835Z digest=sha256:c27aa4141a45ae2426c126565fb2988461124ef184cb335532450c0bf6dd595a

Observation a411e008-bda2-490f-8c4b-0d5fe771174a · outbound

This paper cites Core: Cooperative reconstruc- tion for multi-agent perception.

LangCoop: Collaborative Driving with Language Core: Cooperative reconstruc- tion for multi-agent perception

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.291919Z

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.

source=pdf_text observed=2026-08-16T12:13:52.355484Z digest=sha256:7b34e53c37e6f606a1cbce6a365f39d0c41f199fb2f75068e222715ff8ecdda0

Observation 6f07bba9-bf1f-49e0-a957-390cf0a6567e · outbound

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

LangCoop: Collaborative Driving with Language CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.358881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.358881Z digest=sha256:277a74cf7084c3384144686d5f97bafc658a1f3af3c5239426d463885165218e

Observation 1128925c-dacb-41e2-a7f0-a69beaefcded · outbound

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

LangCoop: Collaborative Driving with Language V2vnet: Vehicle-to-vehicle communication for joint per- ception and prediction

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.280366Z

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.

source=pdf_text observed=2026-08-16T12:13:52.363257Z digest=sha256:2dd3f80727133c952b306a36cf5afca5d784bd110f749c83d5f35105ccc28410

Observation 048783fb-b218-4265-9390-9e54ddc116eb · outbound

This paper cites Drive anywhere: Generalizable end- to-end autonomous driving with multi-modal founda- tion models.

LangCoop: Collaborative Driving with Language Drive anywhere: Generalizable end- to-end autonomous driving with multi-modal founda- tion models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.267739Z

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.

source=pdf_text observed=2026-08-16T12:13:52.366729Z digest=sha256:74e9a81b2d2cd56d1964597127e871313d49ca42b9f4815543024d4768f654c2

Observation a4b56121-cade-4d3a-b14d-4c50bab69eba · outbound

This paper cites Drivemlm: Align- ing multi-modal large language models with behavioral planning states for autonomous driving.

LangCoop: Collaborative Driving with Language Drivemlm: Align- ing multi-modal large language models with behavioral planning states for autonomous driving

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.370039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.370039Z digest=sha256:8907f61decd10a711a1489e85c2d5fcdffdf6cd12f3beec8b0b23298abdbd5fe

Observation 2724de6d-03ef-4660-b525-c6e110bec6af · outbound

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

LangCoop: Collaborative Driving with Language V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.373334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.373334Z digest=sha256:1646f19472258768ac243f61480fdc13e7fb1f74a7ee434f83e87fd295d91b08

Observation b5735fa8-e85a-4029-966b-3e2eef14e8a6 · outbound

This paper cites Au- totrust: Benchmarking trustworthiness in large vision language models for autonomous driving.

LangCoop: Collaborative Driving with Language Au- totrust: Benchmarking trustworthiness in large vision language models for autonomous driving

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.377408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.377408Z digest=sha256:131090a78e1fda474499bfce70733ab415eea71ff3223ca43922b10725452459

Observation bec215b1-e3d7-44b5-8553-f496b2b62044 · outbound

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

LangCoop: Collaborative Driving with Language Openemma: Open-source multimodal model for end-to- end autonomous driving

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.253934Z

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.

source=pdf_text observed=2026-08-16T12:13:52.382032Z digest=sha256:8c5bcf00424208a5a58d3f5c90331a203976665a5eee39bc7cf82a3cf3e28775

Observation 1c44dde6-e07f-4de5-8da2-cb6d2e515833 · outbound

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

LangCoop: Collaborative Driving with Language V2x-vit: Vehicle- to-everything cooperative perception with vision trans- former

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.241289Z

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.

source=pdf_text observed=2026-08-16T12:13:52.385994Z digest=sha256:0a5dad5558e9ecc9ca64c2c922d51f6fcc21c56e114e3ae8548e9f8c0686007a

Observation d8915d19-85b3-423f-8d62-ac986122ab5a · outbound

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

LangCoop: Collaborative Driving with Language Bridging the domain gap for multi-agent perception

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.228080Z

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.

source=pdf_text observed=2026-08-16T12:13:52.390105Z digest=sha256:34dfae725f8099fd5060ef173dde8579839e2cc9943b6f99ee61676a93d3009f

Observation 1b7087f3-4232-43a4-8b03-72980a24874c · outbound

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

LangCoop: Collaborative Driving with Language Cobevt: Cooperative bird’s eye view semantic segmentation with sparse transform- ers

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.215532Z

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.

source=pdf_text observed=2026-08-16T12:13:52.394515Z digest=sha256:c15b8d901e5555afef52b8802083ee4c36ee334dcce447ead72993e27b978cc1

Observation 96a1349c-d4ae-402e-b586-ea316832674f · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.

LangCoop: Collaborative Driving with Language Drivegpt4: Interpretable end-to-end autonomous driving via large language model

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.203148Z

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.

source=pdf_text observed=2026-08-16T12:13:52.398986Z digest=sha256:c280d9deea10bf74659f01460ff5724cdf66163dfab528c1958c98f9cbb80768

Observation ed2e39a8-cdfe-41b8-beb2-8f51411f7fe0 · outbound

This paper cites CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.

LangCoop: Collaborative Driving with Language CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.403067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.403067Z digest=sha256:67167a12353a5774c3b720e5275ef6dcc1696f3c01b0792c288ad16a0b1b883d

Observation 4c7bf276-d044-4a36-ae5c-1d4659be202f · outbound

This paper cites React: Synergizing reasoning and acting in language models.

LangCoop: Collaborative Driving with Language React: Synergizing reasoning and acting in language models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.189245Z

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.

source=pdf_text observed=2026-08-16T12:13:52.406596Z digest=sha256:07512cef21a6f04c4c373f04d76930ff19a5b84985f7954e52a0c5dd21ba0c9c

Observation 5740e82d-0857-4578-823f-5a636ea4aa32 · outbound

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

LangCoop: Collaborative Driving with Language V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.409974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.409974Z digest=sha256:e2b25e53d81b1d7c0b70dde5cded24dcd3c7ab44c9bde3950206ecc58f57ede5

Observation 150017bc-b845-4dce-a7ad-6953128b269b · outbound

This paper cites Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction.

LangCoop: Collaborative Driving with Language Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.413672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.413672Z digest=sha256:809325c9b7b6a3b8773285dc3c09a4a600ff2c5dc1a99b752debd544eeb0544d

Observation 512e141f-66c5-4728-89df-d3b23cdebdce · outbound

This paper cites Dsdnet: Deep struc- tured self-driving network.

LangCoop: Collaborative Driving with Language Dsdnet: Deep struc- tured self-driving network

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.176534Z

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.

source=pdf_text observed=2026-08-16T12:13:52.417218Z digest=sha256:dad499c2f449b3172bc654215b325ce6a9723288a11a871df795c9b6a5332829

Observation 273e8dd7-c7f9-4238-8dcb-ec191fc031c2 · outbound

This paper cites Generative ai-enabled vehicular networks: Fundamen- tals, framework, and case study.

LangCoop: Collaborative Driving with Language Generative ai-enabled vehicular networks: Fundamen- tals, framework, and case study

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.164842Z

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.

source=pdf_text observed=2026-08-16T12:13:52.420579Z digest=sha256:dadd2c4ee181b57f0a39a2365254b98bfc42cdce25062953e815cdcd0428ed6f

Observation 15fb04c6-94e7-4289-99f1-e16299cb05d6 · outbound

This paper cites Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors.

LangCoop: Collaborative Driving with Language Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:13:52.514630Z

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.

source=pdf_text observed=2026-08-16T12:13:52.423691Z digest=sha256:99fddd2dd1d7a9d72978a503a619e07b4e374a40888b924492e399caf4e37280

Observation affb675f-273c-4714-a8b6-b9fc8e142c5b · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:53.152348Z

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.

source=pdf_text observed=2026-08-16T12:13:52.427292Z digest=sha256:9c9e75d67e69636ef99d15bb2d345b4ad91df93a52c59608c88bf28495b01205

Observation 995644cd-7472-4d1c-b8cd-9f1d336f0026 · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:53.139723Z

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.

source=pdf_text observed=2026-08-16T12:13:52.430605Z digest=sha256:a6448ddc5f520b6138812368faf490ec61fb1c017eb74034f65b71706caf8b09

Observation d8e6f0f4-868f-4d6d-8c81-f963d6f3c207 · outbound

This paper cites It’s target description: The target is 0.15402 meters to my right and 32.39753 meters to my front.

LangCoop: Collaborative Driving with Language It’s target description: The target is 0.15402 meters to my right and 32.39753 meters to my front

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.127553Z

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.

source=pdf_text observed=2026-08-16T12:13:52.434137Z digest=sha256:ef0aadf7bd1e263150e698285cb986764be94152d21290ae9432b31f64016cf2

Observation d3061a3e-7478-49cb-900a-d0458050586e · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:53.115986Z

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.

source=pdf_text observed=2026-08-16T12:13:52.437638Z digest=sha256:a69f6a3099bc8440b1c94730425fb2d36ac4d1f446b94b40562e559118b13282

Observation f4c27799-5282-4bd2-88d7-b28c15ab1bd9 · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:53.104542Z

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.

source=pdf_text observed=2026-08-16T12:13:52.443805Z digest=sha256:30d76bc8b0b92e8626e6a85ae6ccde30e5e7ff805945c3f20adbc838d02acd3d

Observation f1e6b80e-27df-4fba-b4e4-d3669b4c9307 · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:53.092359Z

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.

source=pdf_text observed=2026-08-16T12:13:52.447593Z digest=sha256:1225344eb4a3d9af226837dfe5bcc1ff31740861be23831bbd940850f138e965

Observation fb332b94-5379-48a7-a530-c21c73c13301 · outbound

This paper cites Example of Natural Language Information Packaging (LangPack) – Sent by Agent 0, Received by Agent 1 1.4 KB Agent 0, located at: [2.25215 80.50174], current speed: 5.630m/s.

LangCoop: Collaborative Driving with Language Example of Natural Language Information Packaging (LangPack) – Sent by Agent 0, Received by Agent 1 1.4 KB Agent 0, located at: [2.25215 80.50174], current speed: 5.630m/s

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.080475Z

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.

source=pdf_text observed=2026-08-16T12:13:52.451068Z digest=sha256:ef23186688fe5cf58c5fd4437874542ca0a9c5de23b3a6c031056276113a74bb

Observation 3e591cdc-810f-48e1-a680-b8655f872bfa · outbound

This paper cites Intent appears to be straightforward driving.

LangCoop: Collaborative Driving with Language Intent appears to be straightforward driving

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.068923Z

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.

source=pdf_text observed=2026-08-16T12:13:52.454546Z digest=sha256:05447066f2c4ac3d35f8af25a0263c3846c65e616a22044eb4a0fe4b5d9115c3

Observation 1a641fee-009b-4962-8526-52162d5e8d64 · outbound

This paper cites Likely intent is to overtake the car in the center lane.

LangCoop: Collaborative Driving with Language Likely intent is to overtake the car in the center lane

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.055595Z

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.

source=pdf_text observed=2026-08-16T12:13:52.457883Z digest=sha256:afbf5404af41d6100ed9c9ea8833cff95ba99f7c200afd680c5995d20ab96b11

Observation 4776d2e0-a91d-4474-9674-c2dd2b3e64e3 · outbound

This paper cites Status indicates normal driving behavior.

LangCoop: Collaborative Driving with Language Status indicates normal driving behavior

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.041804Z

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.

source=pdf_text observed=2026-08-16T12:13:52.461152Z digest=sha256:f8936a00b286aba4e564c3377c5ff556eeedddc01d417bd1e474642e1954e8de

Observation 239a0472-4a9c-400e-8167-d441acc0ccd2 · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:53.028917Z

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.

source=pdf_text observed=2026-08-16T12:13:52.464451Z digest=sha256:eb555be1e0f72e570bd64f39879c3142a4c3157243988bdcaa2a370527de88e1

Observation d8b572c4-1464-4f48-8ce7-1d91aca9c7bb · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:53.017242Z

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.

source=pdf_text observed=2026-08-16T12:13:52.468538Z digest=sha256:5f052629f4b602757aa04a52746e05b3cb983ed2eeaa085762419526d2c59f35

Observation d74caf7a-c5ee-4972-a4b9-0c9b96b398b4 · outbound

This paper cites To ensure a safe distance, slow down or change lanes if necessary.

LangCoop: Collaborative Driving with Language To ensure a safe distance, slow down or change lanes if necessary

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:13:53.005982Z

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.

source=pdf_text observed=2026-08-16T12:13:52.472357Z digest=sha256:4b3e944d4043657c8e60b9b6fa9a2fea33de08f8d48631cc6bafca26483f5a40

Observation 2d4c5935-db4c-47ee-9dc7-c2d77406e30b · outbound

This paper cites an unresolved cited work.

LangCoop: Collaborative Driving with Language Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:13:52.993947Z

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.

source=pdf_text observed=2026-08-16T12:13:52.475726Z digest=sha256:a8249eb4da5da1cf734a4f3fb2d4183d7742748dfa7c6fc167345eb14777e2cf

Pith citing papers

Observation 2b50b440-c057-43f2-99e8-feb23f9241e0 · inbound

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning cites this paper.

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning LangCoop: Collaborative Driving with Language

Reference 36

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:37:07.233336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:07.233336Z digest=sha256:162132b181211be161d134fc8db70becbdc30dfb8b1f1c870ee561e0442e657d

Observation 0dff2fbb-f633-45a5-8da7-c5779059b54e · inbound

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

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects LangCoop: Collaborative Driving with Language

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:59.878913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:59.878913Z digest=sha256:83f2e1a12ab8b93be0911474f4578a1395cf8c90db3cea5a8554ded056dec472

Observation 42301ff4-dbdf-4f1b-89a4-e177cd20bed2 · inbound

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

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration LangCoop: Collaborative Driving with Language

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.654044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.654044Z digest=sha256:54a6fb0ec3b2fdbf0a9b93233f2a366be643fb70e1c9d8fcfaa32bce23f83d91

Observation e064c0f6-803e-497d-814f-5ec440ab0104 · inbound

A Survey on Vision-Language-Action Models for Autonomous Driving cites this paper.

A Survey on Vision-Language-Action Models for Autonomous Driving LangCoop: Collaborative Driving with Language

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:04.436251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.436251Z digest=sha256:91115b0d708ce5b92c9b36ac6ba88f4b35f21db4dd51474ec8f99ff6f020b108

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

Automated Vehicles Should be Connected with Natural Language cites this paper.

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.

source=pdf_text observed=2026-08-06T21:48:54.384261Z digest=sha256:93e1ddf50c48ea1d604098f486b0c139526823a5a4253b03164bdda2565cd32b

Observation a13c9c59-2268-429a-a82f-038ede6a8a0d · 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 LangCoop: Collaborative Driving with Language

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T05:09:31.633329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:09:31.633329Z digest=sha256:081f3496d13e2fc384aae59089fc2f6d3a55033f407dad249a73494b89dff4ae

Observation 0200a219-41a3-460e-bb3b-29eab09c1ff8 · inbound

OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving cites this paper.

OmniV2X: A Generative Foundation Planner for Efficient End-to-End Cooperative Driving LangCoop: Collaborative Driving with Language

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:38.025659Z

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.

source=pdf_text observed=2026-06-26T14:24:07.496389Z digest=sha256:bc1895787d983aaf4749a9e7018ea6064cef0d48eba3ba09d977665eb583bfca