Paper Citation Record · LEDGER

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.20988.

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

pith.paper-citation-record.v1
2607.20988 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:49:50.059578Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 527b2b1b-1a3d-45b8-ada3-d2a399e57285 · outbound

This paper cites Ppu introduction.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Ppu introduction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:46.436457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e210e35e-e839-4cdd-87f1-2b4f3c97f88a · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving GAIA-1: A Generative World Model for Autonomous Driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:47.208845Z

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Observation 199d8f8d-cf73-4203-a52c-12b3744e3552 · outbound

This paper cites CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:47.335919Z

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Observation 7adb7f2a-b43d-4ebe-aec0-74657411b552 · outbound

This paper cites ADriver-I: A General World Model for Autonomous Driving.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving ADriver-I: A General World Model for Autonomous Driving

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:47.615397Z

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Observation 01999687-242a-4c40-9d0e-ebfef0c9b6b6 · outbound

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

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:47.783298Z

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Observation 4e999d6c-2cf0-45f0-ad79-1083fb7bba44 · outbound

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

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:47.902688Z

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Observation b084b62c-a93a-46d8-80f3-2954eb2eeb94 · outbound

This paper cites Flow Matching for Generative Modeling.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Flow Matching for Generative Modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.026207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90980c78-0455-40f7-b57c-a88828014828 · outbound

This paper cites Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.309380Z

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Observation bf0f9fd0-9617-4dac-9523-82adb793480f · outbound

This paper cites ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.429071Z

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Observation 071bc17c-273b-4938-8d51-a4b17dbb3095 · outbound

This paper cites Latent Chain-of-Thought World Modeling for End-to-End Driving.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Latent Chain-of-Thought World Modeling for End-to-End Driving

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.558259Z

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Observation e94ad116-43ba-4345-a60f-68f8681a30b3 · outbound

This paper cites The role of world models in shaping autonomous driving: A comprehensive survey.arXiv preprint arXiv:2502.10498,.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving The role of world models in shaping autonomous driving: A comprehensive survey.arXiv preprint arXiv:2502.10498,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.668577Z

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Observation 34b55adb-201d-4a08-99b0-d260433773c7 · outbound

This paper cites Latent-wam: Latent world action modeling for end-to-end autonomous driving.arXiv preprint arXiv:2603.24581,.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Latent-wam: Latent world action modeling for end-to-end autonomous driving.arXiv preprint arXiv:2603.24581,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.777466Z

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Observation e305866d-0e6f-487f-b382-fd21c26fbd9f · outbound

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

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving DriveMLM: Aligning multi-modal large language models with behavioral planning states for autonomous driving.arXiv preprint arXiv:2312.09245,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.925835Z

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Observation c91c9ba3-ef20-4c8e-a1e2-53fca3c3cfa6 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Emu3: Next-Token Prediction is All You Need

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:49.102938Z

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Observation 5819cbac-3864-4975-8c75-9336030f2c9f · outbound

This paper cites Large Motion Video Autoencoding with Cross-modal Video VAE.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Large Motion Video Autoencoding with Cross-modal Video VAE

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:49.239066Z

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Observation 16267b38-b916-4faf-8bc4-952b1c0f802b · outbound

This paper cites Resim: Reliable world simulation for autonomous driving.Advances in Neural Information Processing Systems, 38:167710–167741, 2026a.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Resim: Reliable world simulation for autonomous driving.Advances in Neural Information Processing Systems, 38:167710–167741, 2026a

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:49.393759Z

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Observation 9eacb8fb-c161-495b-8995-bff457403a36 · outbound

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

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:49.521156Z

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Observation 50f56db1-2421-44a3-bfa8-0ca140526cd0 · outbound

This paper cites Shuang Zeng, Xinyuan Chang, Mengwei Xie, Xinran Liu, Yifan Bai, Zheng Pan, Mu Xu, and Xing Wei.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Shuang Zeng, Xinyuan Chang, Mengwei Xie, Xinran Liu, Yifan Bai, Zheng Pan, Mu Xu, and Xing Wei

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:49.657500Z

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Observation 7ed22ca5-ef81-4012-ac4b-ee7e91c1ecb7 · outbound

This paper cites Resworld: Tem- poral residual world model for end-to-end autonomous driving.arXiv preprint arXiv:2602.10884,.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Resworld: Tem- poral residual world model for end-to-end autonomous driving.arXiv preprint arXiv:2602.10884,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:49.763901Z

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Observation dd329218-274c-48e7-a7fe-63efbe1b1e5b · outbound

This paper cites Doe-1: Closed-Loop Autonomous Driving with Large World Model.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:49.882619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4284fe62-e282-40db-9421-97ac6a85ce86 · outbound

This paper cites Open- drivevla: Towards end-to-end autonomous driving with large vision language action model.arXiv preprint arXiv:2503.23463, 2025a.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Open- drivevla: Towards end-to-end autonomous driving with large vision language action model.arXiv preprint arXiv:2503.23463, 2025a

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:50.059578Z

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Observation 5b80a77f-b2cd-48ba-ad34-7984a5b662ab · outbound

This paper cites Pseudo-simulation for autonomous driving.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Pseudo-simulation for autonomous driving

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:46.743096Z

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Observation 0f455f9b-bd56-4e93-b47c-568b50e86279 · outbound

This paper cites Driveworld-vla: Unified latent-space world modeling with vision-language-action for autonomous driving.arXiv preprint arXiv:2602.06521,.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving Driveworld-vla: Unified latent-space world modeling with vision-language-action for autonomous driving.arXiv preprint arXiv:2602.06521,

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:48.149103Z

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Observation f7c32a07-87ab-4ce4-a3e2-2278d4a76736 · outbound

This paper cites NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:46.880137Z

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Observation df31e6e9-5e6d-4cd9-866b-2455a81261a8 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:46.573313Z

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Observation 079b8758-c960-45f7-8fb1-e1c89b2d0bf6 · outbound

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

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:47.035253Z

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Observation 72db3736-993c-4107-8963-e4ea4fdb0f91 · outbound

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

HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous Driving EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T08:49:47.488543Z

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Pith citing papers

No inbound Pith citation observations are available.