Paper Citation Record · LEDGER

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 89 inbound Pith citation observations for arXiv:2402.13243.

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

pith.paper-citation-record.v1
2402.13243 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T03:16:03.058129Z

measured 143 of 143 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 89 of 89 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:22.099248Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:36:59.845914Z

Reference resolution

54 of 54 outbound references displayed

verified exact24
verified fuzzy30
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d383e66-d0dc-4e5c-abc9-f3393d01fb9b · outbound

This paper cites Lan- guage models are few-shot learners.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Lan- guage models are few-shot learners

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.153333Z

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Observation b418f5aa-0c56-4438-ad9d-c07575706590 · outbound

This paper cites Mp3: A unified model to map, perceive, predict and plan.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Mp3: A unified model to map, perceive, predict and plan

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.171617Z

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Observation dbc7e035-086f-43f0-b48d-f061ca7a44e9 · outbound

This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.496542Z

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Observation cc432d26-59a4-4507-a2a2-1308c2d520f8 · outbound

This paper cites GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.502084Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3e0ff561-0f4e-4d00-822b-ae1540e8327c · outbound

This paper cites Learn- ing to drive from a world on rails.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Learn- ing to drive from a world on rails

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.167491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fbe09800-daef-40ad-910e-14c39c56766e · outbound

This paper cites Learning by cheating.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Learning by cheating

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.149399Z

Source-reported events for the cited work

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Observation edfae939-2d07-4135-93dd-8eadb27e9519 · outbound

This paper cites Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.522202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7d101920-5352-41b5-87d6-5470b7b18faa · outbound

This paper cites Exploring the limitations of behavior cloning for autonomous driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Exploring the limitations of behavior cloning for autonomous driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.195247Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d793cb60-b0fe-464b-a514-0598948c357f · outbound

This paper cites Exploring the limitations of behavior cloning for autonomous driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Exploring the limitations of behavior cloning for autonomous driving

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.198549Z

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Observation 447af3a0-5160-491a-88d7-807ec414a3c2 · outbound

This paper cites HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning HiLM-D: Enhancing MLLMs with Multi-Scale High-Resolution Details for Autonomous Driving

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.489941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cec70f25-8a53-4fe2-a459-b8866ddbba48 · outbound

This paper cites Carla: An open urban driv- ing simulator.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Carla: An open urban driv- ing simulator

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.160727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 99dd5580-7073-4396-9bb9-c45be3e2c838 · outbound

This paper cites Drive Like a Human: Rethinking Autonomous Driving with Large Language Models.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.515860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0e6933f6-7cda-41f1-8b7b-630287254c15 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.181571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ff93d373-130d-40df-a3cb-cf3fe1f883f8 · outbound

This paper cites ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.553673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d1318fd-1c51-4a45-bb18-b6dca9978d97 · outbound

This paper cites Openstreetmap: User- generated street maps.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Openstreetmap: User- generated street maps

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.201732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d6fc6b2c-6000-4cc8-ae59-822d7aeea9c7 · outbound

This paper cites Model-based imitation learning for urban driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Model-based imitation learning for urban driving

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.204885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7ee0caf8-4933-43c6-8291-0963f3928c67 · outbound

This paper cites Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Fiery: Future instance prediction in bird’s- eye view from surround monocular cameras

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.188424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 247d36a7-a65a-42d9-b9dc-b7087c54ae02 · outbound

This paper cites St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.177708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a0335bfe-894b-4f67-902a-77a2951342e7 · outbound

This paper cites Planning-oriented autonomous driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Planning-oriented autonomous driving

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.157417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3ff8e26b-3dea-4b84-9dd4-1b3b5ed198bb · outbound

This paper cites Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.191944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bcee7021-0bdd-4a98-b27d-a224e5042259 · outbound

This paper cites Think twice before driv- ing: Towards scalable decoders for end-to-end autonomous driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Think twice before driv- ing: Towards scalable decoders for end-to-end autonomous driving

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.185183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6f4d608a-6b58-49bc-9470-4afc1aec70d3 · outbound

This paper cites Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.509419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0304b5ab-fe3f-421e-a5d3-6f65c81b9e88 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Vad: Vectorized scene representation for efficient autonomous driving

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.163941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2cf56912-caeb-4cfd-984e-213e0e0cd307 · outbound

This paper cites Hdmapnet: An online hd map construction and evaluation framework.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Hdmapnet: An online hd map construction and evaluation framework

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.145892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b52f99d7-4077-4646-8f43-8429dca87a56 · outbound

This paper cites BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.541761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e62581fb-6d06-48b9-b7a1-b77bca286d76 · outbound

This paper cites BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.535690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 929f3bdb-5f3e-41da-99c2-b240f1ca4c67 · outbound

This paper cites Learning lane graph representa- tions for motion forecasting.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Learning lane graph representa- tions for motion forecasting

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:23:51.142254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 865bbc91-bba2-48a8-ac80-4ddb2213c4ef · outbound

This paper cites Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.529144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4317e1c9-8d89-4115-9a92-c099cf1e92a9 · outbound

This paper cites MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.548023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d86cb03-c288-47ab-a2b9-a391c7815b60 · outbound

This paper cites MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.394144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation efdafd38-1cbb-4c06-bb9a-d0d921f93d75 · outbound

This paper cites MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.483145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9fb6f1dd-f90d-4346-ae48-67cee5c6c5a5 · outbound

This paper cites VectorMapNet: End-to-end Vectorized HD Map Learning.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning VectorMapNet: End-to-end Vectorized HD Map Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.415817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1e4f7b95-c785-412a-a7b9-b0493dea46d3 · outbound

This paper cites Multimodal motion prediction with stacked transformers.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Multimodal motion prediction with stacked transformers

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.190257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4ffbddd3-51c0-4eaa-8898-ba1522d434b4 · outbound

This paper cites GPT-Driver: Learning to Drive with GPT.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning GPT-Driver: Learning to Drive with GPT

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:18:49.383330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3b2eeba1-51ad-4d88-bf6e-170d0ab59af8 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Srinivasan, Matthew Tancik, Jonathan T

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.182746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2482956e-1ad8-4701-a671-8fb30a950ed6 · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.459118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 866d66d9-799b-4211-9795-bcb2c8271051 · outbound

This paper cites Covernet: Multimodal behavior prediction using trajectory sets.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Covernet: Multimodal behavior prediction using trajectory sets

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.186483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation adbb3676-2cb4-452e-b5bf-0910e1128c46 · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.193873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 25d60e2c-e953-4516-a1e4-c3ab620c968b · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Alvinn: An autonomous land vehicle in a neural network

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.206223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d9f490e-913b-4325-87ae-588c3739bde8 · outbound

This paper cites Multi- modal fusion transformer for end-to-end autonomous driv- ing.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Multi- modal fusion transformer for end-to-end autonomous driv- ing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.210821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3aea99a8-85b2-4304-8191-dc96d2e21d9a · outbound

This paper cites Multi- modal fusion transformer for end-to-end autonomous driv- ing.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Multi- modal fusion transformer for end-to-end autonomous driv- ing

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.175057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fe5c45c2-63c9-4d3a-b908-bd10a6672a20 · outbound

This paper cites Improving language understanding by gen- erative pre-training.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Improving language understanding by gen- erative pre-training

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.171152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f24f1484-3ae1-4423-a30a-c6624252987a · outbound

This paper cites Language models are unsu- pervised multitask learners.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Language models are unsu- pervised multitask learners

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.201488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b61e9432-6215-4430-80ea-241abd30d63a · outbound

This paper cites LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.465010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 75f247ee-ae30-4b0a-921c-93ea8d6ad3c7 · outbound

This paper cites Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.179011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 80774e77-ae3c-4991-b4a5-fbf0ff044038 · outbound

This paper cites End-to-end model-free reinforcement learning for urban driving using implicit affordances.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning End-to-end model-free reinforcement learning for urban driving using implicit affordances

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.197758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6a8602f6-00d0-4755-9400-8561b6eab85d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning LLaMA: Open and Efficient Foundation Language Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:18:49.476435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c3b7c3da-10f8-4018-bf4a-b547169fefab · outbound

This paper cites Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.409779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 81fd87fd-ade4-484c-9c96-ed2f11dcce0a · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Drivemlm: Aligning multi-modal large language models with behavioral planning states for au- tonomous driving

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.427362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d2a37cb4-6094-47ba-a55e-18edc72f8618 · outbound

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

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.450895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d90bf11a-efb1-42e6-aa6a-5a9701dfd911 · outbound

This paper cites DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.471142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 51fab53a-1240-4088-90a8-2cdff6ebdf86 · outbound

This paper cites BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.444388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 55c565d7-b3bf-4c8e-b80d-724b8b44d23d · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:18:49.437030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 35676736-6421-4135-9ba3-08f88519a3b5 · outbound

This paper cites End-to-end urban driving by imitat- ing a reinforcement learning coach.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning End-to-end urban driving by imitat- ing a reinforcement learning coach

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T03:18:51.166849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation b29b9717-6c1f-414d-9faf-fa76878bc583 · inbound

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation cites this paper.

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-13T23:13:55.724624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7c3fe13b-6d81-409d-9c77-2a550e92e6cd · inbound

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving cites this paper.

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:24:23.975349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f3ee0350-1eed-46f5-a849-765b18e35508 · inbound

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

EMMA: End-to-End Multimodal Model for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 181

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T05:08:54.473810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e34097a9-683c-4fae-a75a-b2532066070f · inbound

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks cites this paper.

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:51:36.228727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation db8c0cd3-6ff1-4c5c-b3f9-66002953748b · inbound

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning cites this paper.

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T20:06:27.181828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation da949e94-3982-47a9-bf20-43253002d50d · inbound

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation cites this paper.

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-17T08:10:39.376081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34e5a1f2-3ccb-4eae-b94c-2a28a2e73782 · inbound

VERDI: VLM-Embedded Reasoning for Autonomous Driving cites this paper.

VERDI: VLM-Embedded Reasoning for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-22T13:31:36.296003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cffab333-fc8d-470d-a7ec-e2fc37d7d030 · inbound

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:19:42.859828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 63930837-bc0f-4bcb-b636-d1584e269255 · inbound

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving cites this paper.

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:20:32.185889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a0f1eded-fee3-4eda-ae54-bfb96be81bfc · inbound

FocalAD: Local Motion Planning for End-to-End Autonomous Driving cites this paper.

FocalAD: Local Motion Planning for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T10:17:15.773543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e92c606b-2f61-4b83-89c0-18372c3c9017 · inbound

ParkFormer: A Transformer-Based Parking Policy with Goal Embedding and Pedestrian-Aware Control cites this paper.

ParkFormer: A Transformer-Based Parking Policy with Goal Embedding and Pedestrian-Aware Control VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:22.099248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ecbaf1-cb1d-4519-9654-5bd33f503936 · inbound

A New Perspective On AI Safety Through Control Theory Methodologies cites this paper.

A New Perspective On AI Safety Through Control Theory Methodologies VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 213

Resolution: unresolved; no resolver link, observed 2026-08-06T21:38:38.537266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48e424e-dd98-4372-b145-c8ce827bcbc7 · inbound

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

A Survey on Vision-Language-Action Models for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:04.369131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2392ba5a-a88b-49a5-964a-a624b06f7d61 · inbound

Epona: Autoregressive Diffusion World Model for Autonomous Driving cites this paper.

Epona: Autoregressive Diffusion World Model for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:47.695967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68783d80-a1f9-4d0a-9f13-411aabfcee6a · inbound

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model cites this paper.

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:28.630401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06d32503-5038-47f1-8da7-1cccab0c6f1e · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-19T06:07:07.250712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a5405956-c33d-4a45-b81e-f778ac0dfc59 · inbound

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving cites this paper.

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:04:03.554517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd6b810-5cf5-43c3-aea3-4de3d52fea45 · inbound

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving cites this paper.

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:04:47.267458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d6d64f-95c1-49dd-9c72-fbeeba9cde00 · inbound

DeMo++: Motion Decoupling for Autonomous Driving cites this paper.

DeMo++: Motion Decoupling for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T14:55:02.927231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74138edd-c246-43db-acb7-82dcb0e79b8f · inbound

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving cites this paper.

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T02:57:00.733913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 61ef102b-8135-426e-99be-13941614b3c1 · inbound

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model cites this paper.

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T23:26:44.035972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279d2d21-50c6-44b0-99a7-456aca18e8dc · inbound

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction cites this paper.

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T21:42:32.338123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 585f19b3-6bcc-4d05-94e9-c2ab28858841 · inbound

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving cites this paper.

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-18T20:11:50.798472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 477b43a1-033b-4aa7-81e0-1f3261d74f2a · inbound

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model cites this paper.

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:31.784450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76637523-0550-43f2-a75f-7c0ca3167490 · inbound

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning cites this paper.

RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T09:33:37.673101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c557d5c-e706-4ba5-9101-4172919f17fe · inbound

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer cites this paper.

Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:30.588480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2c0ad7f-8a43-4402-9a8a-937b11249a47 · inbound

SimScale: Learning to Drive via Real-World Simulation at Scale cites this paper.

SimScale: Learning to Drive via Real-World Simulation at Scale VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:34:01.926676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5cd31552-31b4-48af-b567-ebdaf9f8662e · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-22T12:21:31.336341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fa0e5889-fbf4-49e3-8c02-17c33161f432 · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T17:07:40.236581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8153c4cb-8621-41d2-9751-526f460555be · inbound

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers cites this paper.

LADY: Linear Attention for Autonomous Driving Efficiency without Transformers VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T06:42:10.048508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10d51603-d0b6-47aa-b896-40f727897619 · inbound

Pseudo-Expert Regularized Offline RL for End-to-End Autonomous Driving in Photorealistic Closed-Loop Environments cites this paper.

Pseudo-Expert Regularized Offline RL for End-to-End Autonomous Driving in Photorealistic Closed-Loop Environments VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-16T20:48:32.674295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9f9c2e9a-0068-4a21-ab16-73edd34a76c6 · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:38:21.175382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 72651e63-9180-4f92-9514-1ac3b6dfdf4b · inbound

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving cites this paper.

From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T06:07:07.706398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8535006-54e8-4c43-b213-3b64ec10834f · inbound

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving cites this paper.

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:59:59.531891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9920a5cc-cbb1-4784-a89b-6e798e8c0dd8 · inbound

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving cites this paper.

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T09:09:53.306430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5f483760-15ae-491d-a077-e35c08cd3521 · inbound

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale cites this paper.

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-13T23:03:25.139088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5863611a-9e99-4e3b-a529-4a58e85931b2 · inbound

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving cites this paper.

HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T12:58:58.057084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9868df-4e1e-4bbc-8d25-93d2f8af14a0 · inbound

CrowdVLA: Embodied Vision-Language-Action Agents for Context-Aware Crowd Simulation cites this paper.

CrowdVLA: Embodied Vision-Language-Action Agents for Context-Aware Crowd Simulation VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T23:45:52.097393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc4aca0f-5194-4b2e-a435-9f8604d8b8a0 · inbound

Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models cites this paper.

Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:41:00.864710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19541b6e-45e4-431f-aff0-2b52c11bab00 · inbound

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems cites this paper.

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:56:02.258595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97638b40-4b1d-482e-912f-e0c389fcd0c7 · inbound

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving cites this paper.

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-11T11:21:04.714329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 789cb172-fadc-4e3c-ba13-5c63c046641d · inbound

SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving cites this paper.

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:21:25.534256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 95f6e170-435d-4254-a0b5-c9783d883c42 · inbound

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving cites this paper.

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T11:11:03.330206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f0dbca0e-be35-4dca-893c-7892d2c8cc93 · inbound

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework cites this paper.

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T11:50:21.041065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 721e1eb7-5db5-4e13-9572-ed19892a9f44 · inbound

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models cites this paper.

OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T11:56:25.215084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34e3ca1a-6f95-474f-958a-b532c8577caf · inbound

Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset cites this paper.

Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T19:06:11.147234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7165d61b-1256-4c76-b4ff-6d7b36cd4212 · inbound

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution cites this paper.

ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:56:14.077211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d6d69f5b-4d55-46d5-bbb4-c3d570f959f6 · inbound

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive cites this paper.

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-11T14:51:14.382173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7bdc17d7-0516-4ee0-934a-adca8f1bdd1e · inbound

REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer cites this paper.

REAP: Reinforcement-Learning End-to-End Autonomous Parking with Gaussian Splatting Simulator for Real2Sim2Real Transfer VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:56:27.779039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 785ed458-9308-41cd-ac1b-664492b5e477 · inbound

DriveFuture: Future-Aware Latent World Models for Autonomous Driving cites this paper.

DriveFuture: Future-Aware Latent World Models for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-12T03:01:17.940082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 595be1df-dcb1-4957-ab8a-c5666f901aba · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 142

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T06:31:26.213772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 52b4e0d6-1681-45a4-b43b-f2142ce487b2 · inbound

The DAWN of World-Action Interactive Models cites this paper.

The DAWN of World-Action Interactive Models VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-13T02:07:07.667150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a961ad6-0e45-4fa5-a426-5a7ca098e26e · inbound

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving cites this paper.

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:59:28.471863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 535b1358-5b82-4984-aaa3-9fcd65dbe2b3 · inbound

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving cites this paper.

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:09:45.391329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dc6b2ecb-43b6-4f9c-a174-ecbec797299f · inbound

Driving Intents Amplify Planning-Oriented Reinforcement Learning cites this paper.

Driving Intents Amplify Planning-Oriented Reinforcement Learning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:52:58.733373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 66aee3f4-d45f-4dbb-8528-82dab47ede09 · inbound

Driving Intents Amplify Planning-Oriented Reinforcement Learning cites this paper.

Driving Intents Amplify Planning-Oriented Reinforcement Learning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T04:59:45.528635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 45e5569f-deaa-4702-8406-b54b628b77cf · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-14T18:27:35.392482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9788ae21-71bf-4e25-8cd6-167b39d985e8 · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:59:01.773370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 05b856bd-dd79-4bcc-ad4f-9d2e69268b73 · inbound

EponaV2: Driving World Model with Comprehensive Future Reasoning cites this paper.

EponaV2: Driving World Model with Comprehensive Future Reasoning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:15:02.649738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 65dd04e8-0366-4537-8544-be2e874bc734 · inbound

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning cites this paper.

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:59:01.669812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 930cf63d-0c97-4ff0-a16b-a7caeda0c285 · inbound

DriveSafer: End-to-End Autonomous Driving with Safety Guidance cites this paper.

DriveSafer: End-to-End Autonomous Driving with Safety Guidance VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:47:48.708200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b3dccaf-bef7-4c52-b1c5-e7e8ef605551 · inbound

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving cites this paper.

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T10:08:12.316459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2d206eb0-59b5-4936-853a-9f0b53422821 · inbound

SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving cites this paper.

SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:23:21.611576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6378b1f7-76e7-4271-8941-367e94969753 · inbound

Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives cites this paper.

Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard Negatives VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T05:33:04.356985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5dc4676-d213-4082-9582-d70c586dd5d2 · inbound

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation cites this paper.

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-30T14:14:45.855287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9d731587-a21e-436c-ba44-3b3485340615 · inbound

NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals cites this paper.

NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T13:44:41.209536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 771a5c84-0af7-49fd-b9a6-0437a336ac7e · inbound

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving cites this paper.

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:36:08.439172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 81e45186-2464-4c54-be53-19fc10546adc · inbound

Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning cites this paper.

Unified Driving Tokens: Representation- and Geometry-Guided Discrete Tokenizer for Driving World Models and Planning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:16:16.898131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3eda0e6b-88d0-4aba-b68d-ae7571b6c35f · inbound

D$^3$-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving cites this paper.

D$^3$-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-02T08:26:48.314611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fc9c0384-5364-4502-924c-627afb604820 · inbound

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning cites this paper.

Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:46:57.102426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e0d2ab6b-70e0-4e3a-9c7e-966482c3c473 · inbound

Test-Time Trajectory Optimization for Autonomous Driving cites this paper.

Test-Time Trajectory Optimization for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:47:17.871911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1055da92-2b82-4881-a47a-1d28d4aad45b · inbound

Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous Driving cites this paper.

Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-03T05:27:40.195798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 41f503f3-00bc-450b-bdbc-04612be9e2af · inbound

DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models cites this paper.

DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language Models VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-03T18:28:48.939903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1829611f-4325-4fc1-a330-ebf282c08012 · inbound

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving cites this paper.

Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:09:44.904817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 536f37aa-38fd-43bc-adda-314094144ee5 · inbound

FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning cites this paper.

FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T16:39:58.119320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eb63f6b2-e3f0-4c10-9011-747557af973c · inbound

UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving cites this paper.

UniTeD: Unified Temporal Diffusion for Joint Perception and Planning in Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:30:08.119038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0b2875d6-4151-45af-8e1b-b331838192fa · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T18:25:58.424971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 647fa8c8-2c6b-4c6e-88e5-df55f7830d3b · inbound

OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model cites this paper.

OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:04:21.615406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8cf9723c-44c0-4935-b1ae-1786f5ece233 · inbound

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving cites this paper.

DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-02T15:07:04.059451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9fa308ce-18f0-4dc2-8c63-ba4b34827b73 · inbound

CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving cites this paper.

CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T06:40:47.686215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98b9443d-5368-4bcf-9457-b41dd02c45bb · inbound

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning cites this paper.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T04:18:07.584435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 398b2da2-0f40-4c1a-bffd-5803ef01fb4e · inbound

PixelPilot: Scalable Vision-Language-Action Models for End-to-End Autonomous Driving cites this paper.

PixelPilot: Scalable Vision-Language-Action Models for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T16:01:25.344820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08fe4a81-7a5c-4b57-8834-30f3b5f0cb44 · inbound

WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving cites this paper.

WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T08:36:59.847544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2dbe5741-4ef0-4c4b-ba92-b27935d75f60 · inbound

DPNeXt: A Lightweight Multi-Scale Feature Fusion Framework for Efficient ViT-Based Multi-Task Dense Prediction cites this paper.

DPNeXt: A Lightweight Multi-Scale Feature Fusion Framework for Efficient ViT-Based Multi-Task Dense Prediction VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T21:39:20.190604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3424218-7614-4727-8fb6-8aa2618cba1b · inbound

GeoWorldAD: Geometry World Action Model for Autonomous Driving cites this paper.

GeoWorldAD: Geometry World Action Model for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:46:54.195021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23401a3b-2008-4d40-aece-419ca5ad0ef6 · inbound

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning cites this paper.

Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T20:38:40.422214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82519ebe-7844-4df3-96f3-de947793235c · inbound

MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving cites this paper.

MOJITO: Modal Joint Learning for Unified End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-30T20:32:27.001497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f11d960-aadb-4a73-b7c4-16901fe38041 · inbound

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving cites this paper.

Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T15:03:45.089574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea10263-1b04-4df8-abd4-61705480fb91 · inbound

Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving cites this paper.

Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T00:59:13.387302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.