Paper Citation Record · LEDGER

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.03182.

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

pith.paper-citation-record.v1
2607.03182 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:18:07.584435Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy0
unresolved33
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning.

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

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Observation 53be34e5-0ea8-4c21-9dae-5327c4b7a8f2 · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE transactions on pattern analysis and machine intelligence, 45(11):12878–12895, 2022.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE transactions on pattern analysis and machine intelligence, 45(11):12878–12895, 2022

Reference 2

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

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Observation c9f782ec-cb19-4792-9776-b266b484722d · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning St-p3: End-to- end vision-based autonomous driving via spatial-temporal feature learning

Reference 3

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

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Observation 04f972bd-34d3-411e-80a7-260e75a33043 · outbound

This paper cites Planning-oriented autonomous driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Planning-oriented autonomous driving

Reference 4

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

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Observation b12f30d4-facb-4d0d-a42b-6737699fe1a2 · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Vad: Vectorized scene representation for efficient autonomous driving

Reference 5

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

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Observation c56e7f1a-6129-4ba9-a0e2-66cb524aa382 · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 6

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

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Observation ce40084e-4be8-45b5-bc44-0ee290caf60b · outbound

This paper cites Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 7

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

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Observation 9f66a435-69d4-4307-88f1-fdab2125e61a · outbound

This paper cites Sparsedrive: End- to-end autonomous driving via sparse scene representation.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Sparsedrive: End- to-end autonomous driving via sparse scene representation

Reference 8

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

Source-reported events for the cited work

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Observation 013bda1b-9e88-4c5f-a17e-6bdfea2e6425 · outbound

This paper cites Para-drive: Parallelized architecture for real-time autonomous driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Para-drive: Parallelized architecture for real-time autonomous driving

Reference 9

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

Source-reported events for the cited work

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Observation 3d6553c4-2c4d-484d-8706-af6ecb692ca1 · outbound

This paper cites Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving

Reference 10

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

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Observation ccfabb27-a91b-41ff-b6e6-78f854206e0c · outbound

This paper cites Genad: Generative end-to-end autonomous driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Genad: Generative end-to-end autonomous driving

Reference 11

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

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Observation 23100b2a-193b-4ad7-a5c9-214a4ca5dae9 · outbound

This paper cites Orion: A holistic end-to-end autonomous driving framework by vision-language instructed action generation.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Orion: A holistic end-to-end autonomous driving framework by vision-language instructed action generation

Reference 12

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

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Observation 20300fb5-79de-46be-ab37-172b189e6011 · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 13

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

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Observation 7cebc89f-76e5-4ed1-b17c-e230eb860ac4 · outbound

This paper cites Simlingo: Vision-only closed-loop autonomous driving with language-action alignment.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Simlingo: Vision-only closed-loop autonomous driving with language-action alignment

Reference 14

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

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Observation cd8d8873-13ef-424c-b1da-b50785349c54 · outbound

This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

Reference 15

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

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Observation 0739e477-5e1d-4391-abd4-ddde4a2786f3 · outbound

This paper cites Unifying language-action understanding and generation for autonomous driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Unifying language-action understanding and generation for autonomous driving

Reference 16

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

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Observation 6b03438a-c7b8-4410-9601-b73f4459f74b · outbound

This paper cites Trajectory-guided con- trol prediction for end-to-end autonomous driving: A simple yet strong baseline.Advances in Neural Information Processing Systems, 35:6119–6132, 2022.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Trajectory-guided con- trol prediction for end-to-end autonomous driving: A simple yet strong baseline.Advances in Neural Information Processing Systems, 35:6119–6132, 2022

Reference 17

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

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Observation 91090c6d-ec0d-41a4-9a60-d37e3358994c · outbound

This paper cites DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

Reference 18

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

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Observation e06d549f-8939-49b2-835e-bc1e8b34ebd0 · outbound

This paper cites Bridgedrive: Diffusion bridge policy for closed-loop trajectory planning in autonomous driving.arXiv preprint arXiv:2509.23589, 2025.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Bridgedrive: Diffusion bridge policy for closed-loop trajectory planning in autonomous driving.arXiv preprint arXiv:2509.23589, 2025

Reference 19

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

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Observation 1ce89877-b983-442d-8644-2a8d1bd8f67d · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Drivegpt4: Interpretable end-to-end autonomous driving via large language model

Reference 20

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

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Observation f98b54e6-8c6d-40a6-abb8-74c28365bb18 · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Drivelm: Driving with graph visual question answering

Reference 21

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

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Unavailable: canonical work link unavailable.

Observation 72b8eada-38c1-4cf7-8c37-b8b6a22ec0de · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245, 2023

Reference 22

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

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Observation ec8b7e16-b108-4b6c-ba78-17a0c67eb853 · outbound

This paper cites Opendrivevla: Towards end-to-end autonomous driving with large vision language action model.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Opendrivevla: Towards end-to-end autonomous driving with large vision language action model

Reference 23

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

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Observation e34af97e-b680-4cad-8606-c253d4e302e1 · outbound

This paper cites DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving

Reference 24

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

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Observation fba54db4-9bbf-4746-a50f-1e023e9867d9 · outbound

This paper cites ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

Reference 25

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

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Observation 790ea440-f3a7-4d54-9b62-39f6f119e102 · outbound

This paper cites DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Reference 26

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

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Observation 87cdb610-2898-4f78-b604-f489285a04c8 · outbound

This paper cites DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving

Reference 27

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

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Observation c67fe1f7-6ad9-438d-8d53-858e9488c80f · outbound

This paper cites Mini-internvl: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance.Visual Intelligence, 2(1):32, 2024.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Mini-internvl: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance.Visual Intelligence, 2(1):32, 2024

Reference 28

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

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Observation 5e132846-35bf-456e-a919-cac84c99d9de · outbound

This paper cites Qwen2 Technical Report.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Qwen2 Technical Report

Reference 29

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

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Observation 4678c098-32ae-437d-a7d0-3d03b0fe0c2e · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Think twice before driving: Towards scalable decoders for end-to-end autonomous driving

Reference 30

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

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Observation ee668ee7-269e-41aa-bedb-d5ab1992623b · outbound

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

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving

Reference 31

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

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Observation 6ff80a24-52d2-4aa9-827d-3eb603bcb562 · outbound

This paper cites Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 32

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

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Observation 08084679-e1fc-4961-93bc-1f631845c805 · outbound

This paper cites Bench2drive: Towards multi- ability benchmarking of closed-loop end-to-end autonomous driving.Advances in Neural Information Processing Systems, 37:819–844, 2024.

AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning Bench2drive: Towards multi- ability benchmarking of closed-loop end-to-end autonomous driving.Advances in Neural Information Processing Systems, 37:819–844, 2024

Reference 33

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

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Pith citing papers

No inbound Pith citation observations are available.