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Paper Citation Record · LEDGER

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving

As of 14 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2607.20175.

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

pith.paper-citation-record.v1
2607.20175 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:39:38.918417Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T21:05:52.655461Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76cb7229-f8aa-4f2c-ae07-180ab11a9abb · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning, 2025

Reference 1

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source=pdf_text observed=2026-08-01T10:39:33.827769Z digest=sha256:6017648fd18b0a87615d3da04d526890c102cedc1b7cf80ea5309e4f094f9e7c

Observation 12df8cdf-6476-4d74-bdb3-707daf24725d · outbound

This paper cites Pseudo-Simulation for Autonomous Driving.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Pseudo-Simulation for Autonomous Driving

Reference 2

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source=pdf_text observed=2026-08-01T10:39:33.908447Z digest=sha256:bdf00e17c56465206d911f8b99d2de84a82692d17a53e0f1719fdc98b414ad6c

Observation 454307b6-b5fa-4419-befa-01085d7dffc6 · outbound

This paper cites DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers, 2024.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers, 2024

Reference 3

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source=pdf_text observed=2026-08-01T10:39:33.971650Z digest=sha256:268f88c44acaf46791d59c67a619dcfd675b31541566447819066a57d10c1cb9

Observation 8039b5e5-82f5-483d-89bb-a7b5662f446b · outbound

This paper cites TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

Reference 4

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source=pdf_text observed=2026-08-01T10:39:34.045553Z digest=sha256:955bb6e9788262e2ab7dc6f4801597dfe2dc82d305ac3e813b802c3c8e1f3add

Observation 342884f6-48f8-48c3-9080-da95da76b370 · outbound

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

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Reference 5

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source=pdf_text observed=2026-08-01T10:39:34.109880Z digest=sha256:f374b5af6a1dca8bf769c6a45e3bf897b1c758cd84ece78f75697be65c8f915f

Observation e0c72346-a2c1-4fb1-be8b-a57a45b086d7 · outbound

This paper cites FROST-Drive: Scalable and Efficient End-to-End Driving with a Frozen Vision Encoder, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving FROST-Drive: Scalable and Efficient End-to-End Driving with a Frozen Vision Encoder, 2026

Reference 6

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source=pdf_text observed=2026-08-01T10:39:34.196045Z digest=sha256:8930541aebdf4c5e0388f98d7787a752e620dc3f29e1a1a3c699d9b4f947017a

Observation 0336aae0-75ad-4e69-9dc7-83cfbde78995 · outbound

This paper cites FUTURE-VLA: Forecasting Unified Trajectories Under Real-time Execution, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving FUTURE-VLA: Forecasting Unified Trajectories Under Real-time Execution, 2026

Reference 7

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source=pdf_text observed=2026-08-01T10:39:34.305972Z digest=sha256:9b76b547c7506f99a8ad6c2f460c080c4af7f1b643f97efa230ef0bf9865b848

Observation 8ce38d94-8575-4e83-9cc4-310bf94f5ca5 · outbound

This paper cites ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution, 2026

Reference 8

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source=pdf_text observed=2026-08-01T10:39:34.419300Z digest=sha256:ea3d93decbdf04657f3d422f7b48dad7d408252364ea2f2245a22de2834b8b73

Observation 3f2c9064-56e6-4449-8cb6-a87e4efa1388 · outbound

This paper cites Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation, 2026

Reference 9

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source=pdf_text observed=2026-08-01T10:39:34.541056Z digest=sha256:76a15dbef75564da7144fa0237d37046d173544801ede65cd409c2172a2a4cb1

Observation 24072874-0eac-44ea-8596-a1933f36c13f · outbound

This paper cites Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving, 2025

Reference 10

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source=pdf_text observed=2026-08-01T10:39:34.652096Z digest=sha256:f7ddfa60ff6881aaa49e815e70669956e3d784ef4291e88afd5debbde761ccae

Observation fc2b166d-6924-4968-a6fa-0daea8c79b46 · outbound

This paper cites DriveFuture: Future-Aware Latent World Models for Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveFuture: Future-Aware Latent World Models for Autonomous Driving, 2026

Reference 11

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source=pdf_text observed=2026-08-01T10:39:34.759786Z digest=sha256:6a61c603a096856875a68f4b11f51f38f3442beccc4403709c1867e8b5c45fbf

Observation 43366d70-5464-4396-b097-83527e47b022 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 12

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source=pdf_text observed=2026-08-01T10:39:34.904661Z digest=sha256:463a6ac5a5adaf4d0c6f4ffb5d7290007a9633509565b346911d8ffa6b5b5323

Observation 7859db98-81ea-4385-ae85-97d6d4935aaf · outbound

This paper cites Planning-oriented Autonomous Driving.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Planning-oriented Autonomous Driving

Reference 13

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source=pdf_text observed=2026-08-01T10:39:35.015141Z digest=sha256:f5001e26c3fa3a4e802b22ed5b1f0d16598a52a5cd21b6268f7657bdaab6bfe3

Observation 5241a3d2-77ba-4998-880a-65cbc9922750 · outbound

This paper cites CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving, 2026

Reference 14

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source=pdf_text observed=2026-08-01T10:39:35.140011Z digest=sha256:23674bf658c00fb021d2d1c76ab3a1098d986b0424f5544a61c3a35ad4d6d9d1

Observation e126bd22-45d8-4402-8d40-5f124bc84456 · outbound

This paper cites Jacobs, Michael I.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Jacobs, Michael I

Reference 15

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source=pdf_text observed=2026-08-01T10:39:35.267256Z digest=sha256:42b36ccb9783777d8b1004c1b603c449e0a0027a21035a6f7e010083bca4a9e5

Observation ea0c6996-a452-4091-8762-14ef8ff9682c · outbound

This paper cites DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving, 2026

Reference 16

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source=pdf_text observed=2026-08-01T10:39:35.367189Z digest=sha256:2a408f0a1f4319e161a01e2c5430de41bf02f76fbe606472ea38df340ab20ab5

Observation 84859177-31f8-43d3-b890-19ff20c9a522 · outbound

This paper cites VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning, 2024.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning, 2024

Reference 17

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source=pdf_text observed=2026-08-01T10:39:35.402382Z digest=sha256:045e8bd0f36f2dcde037a47bae94d032ec49c1b70c31e3af79fbccfd1a6066f8

Observation fe56e4bd-b4a1-4e42-8545-25e77fbceedc · outbound

This paper cites Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving, 2024.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving, 2024

Reference 18

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source=pdf_text observed=2026-08-01T10:39:35.448273Z digest=sha256:8b6f09ca164ff353045e46fcd5fe6f607cc0dc46469d914ec74cd0c3b4f24b09

Observation 1b03465f-02bb-448d-975a-e70c32b06d85 · outbound

This paper cites Enhancing End-to-End Autonomous Driving with Latent World Model.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Enhancing End-to-End Autonomous Driving with Latent World Model

Reference 19

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source=pdf_text observed=2026-08-01T10:39:35.514221Z digest=sha256:7a07f53fda0f54803d76322641801f3a447ac181da5ff794bc7a9fbc3294bb60

Observation 6e9caa70-a0c2-4315-8952-b6ec23df6432 · outbound

This paper cites DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving, 2025

Reference 20

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source=pdf_text observed=2026-08-01T10:39:35.584095Z digest=sha256:9c39b883f1e3f0b4456e8ced3796182c40182f8856351fb81942b07559c5ce00

Observation 8500bc7f-d0fe-4bb1-9593-38eda488b66e · outbound

This paper cites End-to-End Driving with Online Trajectory Evaluation via BEV World Model, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving End-to-End Driving with Online Trajectory Evaluation via BEV World Model, 2025

Reference 21

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source=pdf_text observed=2026-08-01T10:39:35.632187Z digest=sha256:203657f535baf80b91672d4d8b23eee170a85923ff1672df8102c0b44c6c1973

Observation 1a6e360d-b457-4c97-8d82-2e077bab734d · outbound

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

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

Reference 22

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source=pdf_text observed=2026-08-01T10:39:35.710870Z digest=sha256:d49fdbbb35e85a7e7e1bc0632d25f2780beb937cfc2d6fdb889d313617576b3c

Observation dfbc90af-1c46-444b-aab2-fb66d35cf655 · outbound

This paper cites an unresolved cited work.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-01T10:39:35.749191Z digest=sha256:c4ea92adf5e3988c5c69aac906292b2bc1c01c5b173d470b505c4842d680c49f

Observation 616e2fcb-0a3e-47bf-86f2-e0ccb8dfe47c · outbound

This paper cites an unresolved cited work.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-01T10:39:35.810764Z digest=sha256:d18d51aecb090d0282f4c6cb1cb0ed20d33451daf8a023770a8cdef2d3205601

Observation b2924ef5-2f41-4a67-9f14-55060870d89e · outbound

This paper cites Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving, 2026

Reference 25

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source=pdf_text observed=2026-08-01T10:39:35.859836Z digest=sha256:b41009758d64fe1361b7171602434547d9aeb6a229722999e9b6b017731314c1

Observation 97da4f61-af4c-4d4f-a82d-b03351ed4785 · outbound

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

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 26

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source=pdf_text observed=2026-08-01T10:39:35.933779Z digest=sha256:e0965f907f4642a9dd43a58a9d7a57dd55dc3d56a193f24f3f8676d430ee05d4

Observation 8be701fa-2388-45e2-aa8c-463e3b23f12d · outbound

This paper cites an unresolved cited work.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-01T10:39:35.976806Z digest=sha256:3ec541293f1b1e0bfd7d08f320978411a7cecbb8722746f47fbe032204b7d740

Observation 62d6c177-3bc3-4194-b5b1-39bd50899893 · outbound

This paper cites Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving, 2026

Reference 28

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source=pdf_text observed=2026-08-01T10:39:36.021079Z digest=sha256:a0bd781edfa4d3281f7d19f3ee51d6a401f9181eb247f0f48d0fce22c072b1a6

Observation d6a9e985-ede2-41d0-91dc-e8289765f593 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 29

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source=pdf_text observed=2026-08-01T10:39:36.082963Z digest=sha256:6af312f5da598a16122d217e12eb8fcfc174268d63fd4efad2b30a3c147944ab

Observation 32f29afe-0b94-4bcf-acf0-0777eeded59a · outbound

This paper cites OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation, 2026

Reference 30

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source=pdf_text observed=2026-08-01T10:39:36.136565Z digest=sha256:c53ae6fc85ee66346122cd5be2b75c39c6f06552e32e5de2953329e7e9d8b2db

Observation 6b7e6c40-ad96-45fb-8419-2fc0a1ff0573 · outbound

This paper cites LingoQA: Visual Question Answering for Autonomous Driving.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving LingoQA: Visual Question Answering for Autonomous Driving

Reference 31

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source=pdf_text observed=2026-08-01T10:39:36.196693Z digest=sha256:4bfc462307c26a15b11d5d35d9aa2e60d2d04cdf69d04c5c29af0b27a8155b6e

Observation a4c6fa16-3c67-4487-a369-274e727e31f5 · outbound

This paper cites Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving, 2023.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving, 2023

Reference 32

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source=pdf_text observed=2026-08-01T10:39:36.255814Z digest=sha256:e2422deaa88f0e9640e8705db620f20eb82980cbe9bf9a730afa9cf911ca1333

Observation 20032777-92ec-450e-a629-365a1e91026c · outbound

This paper cites NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario, 2023.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario, 2023

Reference 33

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source=pdf_text observed=2026-08-01T10:39:36.270692Z digest=sha256:3d539db6a6562ff6bff78f88319949cbb76202ac8b899811222a96640c8e6230

Observation 127abf36-9fdb-403b-b361-9bf1a4da2bd7 · outbound

This paper cites PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models, 2026

Reference 34

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source=pdf_text observed=2026-08-01T10:39:36.320430Z digest=sha256:53595f9f05d34a072925b0f11db717a2f57fca3c446f6a6157ff28894d30c772

Observation eeae18e1-dcec-42a4-af40-64429a00c0db · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 35

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Observation 7338efc4-76d0-4d58-b1e2-8728544f03b4 · outbound

This paper cites DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving, 2026

Reference 36

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source=pdf_text observed=2026-08-01T10:39:36.615050Z digest=sha256:339274642a5506b703af38682068aeef4b8465644b3b7e02edf81f2fbdfdd2c6

Observation aeea5a27-be90-4f4a-9c82-ccd79990debc · outbound

This paper cites DriveLM: Driving with Graph Visual Question Answering.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 37

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source=pdf_text observed=2026-08-01T10:39:36.693128Z digest=sha256:d2a29a6c9748c80020f0299ce1dadf6412083ca30fd9d85d7fa028ac043208fb

Observation b1f5f765-a324-4f26-a4f6-2f12ab5132d6 · outbound

This paper cites GraphWorld: Long-Horizon Planning with World Models for End-to-End Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving GraphWorld: Long-Horizon Planning with World Models for End-to-End Autonomous Driving, 2026

Reference 38

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source=pdf_text observed=2026-08-01T10:39:36.771890Z digest=sha256:0c65f7bc6113afb22effd757e81df68e4e7b31e7d312679be01369d5c3b4fa53

Observation e8ca4ba1-9717-480e-9a23-1f3d717892f3 · outbound

This paper cites MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving, 2025

Reference 39

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source=pdf_text observed=2026-08-01T10:39:36.856397Z digest=sha256:5f466a84ebaa76c326b67771eefbd2823b7cf6b95116f2a2b0fb6bb5d2ac7fdf

Observation c5b3861b-ecd0-4391-825e-647530cd2d7c · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Wan: Open and Advanced Large-Scale Video Generative Models, 2025

Reference 40

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source=pdf_text observed=2026-08-01T10:39:36.946007Z digest=sha256:4b4d1aaf1a76cb36ad63c26f34aedb04350a4dfe577a471f81d73b03b4d9d64f

Observation eadeee33-2f04-4c31-a884-7f99ac795bfb · outbound

This paper cites VGGT: Visual Geometry Grounded Transformer, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving VGGT: Visual Geometry Grounded Transformer, 2025

Reference 41

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source=pdf_text observed=2026-08-01T10:39:37.012337Z digest=sha256:7e9f38d29fbe2b631a3598dcf2a5fb4cf78b35019f8eaeae0d2d427568c0d880

Observation 203e33a7-536f-4292-9209-6eb22e556354 · outbound

This paper cites Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving, 2026

Reference 42

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source=pdf_text observed=2026-08-01T10:39:37.078440Z digest=sha256:6404824ffcbe63628f2a8288e913af769750509015353413c6edda303d2c059e

Observation 75df7e60-3783-4f39-8542-a639fba56ff9 · outbound

This paper cites Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving, 2026

Reference 43

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source=pdf_text observed=2026-08-01T10:39:37.172190Z digest=sha256:b2bf20a0ef193670e3537971f29aa2fdc5573800a252e23937e80d2fd6264819

Observation b0c2dffb-60c4-45ac-af0a-26af5d24ca83 · outbound

This paper cites HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving, 2026

Reference 44

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source=pdf_text observed=2026-08-01T10:39:37.352592Z digest=sha256:be5701366cd0247b044de442c3ae656db62ff646726c0dca16b82e01fc073d2b

Observation 31c60f66-50e2-4cf1-bee6-c40009e640f6 · outbound

This paper cites DriveQA: Passing the Driving Knowledge Test, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveQA: Passing the Driving Knowledge Test, 2025

Reference 45

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source=pdf_text observed=2026-08-01T10:39:37.451102Z digest=sha256:2d3c342033c9a70c0f51996138cc9cae1d634179ae0b6484738403a46c90c582

Observation 50521f8b-e851-4295-a5b4-c2f7b5b63bd9 · outbound

This paper cites A Unified Candidate Set with Scene-Adaptive Refinement via Diffusion for End-to-End Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving A Unified Candidate Set with Scene-Adaptive Refinement via Diffusion for End-to-End Autonomous Driving, 2026

Reference 46

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source=pdf_text observed=2026-08-01T10:39:37.572697Z digest=sha256:937f6f9c5fe4723652c6960e5856a04301dd73702f61fef340ef913fe53ce718

Observation 50cb5fa6-9174-4c0a-be3a-34a4a3f8a52b · outbound

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

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveLaW: Unifying Planning and Video Generation in a Latent Driving World

Reference 47

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source=pdf_text observed=2026-08-01T10:39:37.688022Z digest=sha256:6190e3b9668ce67edcc1213905d75803b83055e35fb80f4d2d221816187e3db6

Observation 5bf28bb4-bc2d-48a9-9719-0cf2f252b12f · outbound

This paper cites Meyer, Siva Karthik Mustikovela, Siddhartha Srinivasa, Eric M.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Meyer, Siva Karthik Mustikovela, Siddhartha Srinivasa, Eric M

Reference 48

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source=pdf_text observed=2026-08-01T10:39:37.795268Z digest=sha256:6aa575494f4a790220a54f79c14a4185e8e15ae107f19e57ee957aba72a650ae

Observation 39d1be2d-0bb6-4092-b553-352da0d8d80a · outbound

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

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving

Reference 49

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source=pdf_text observed=2026-08-01T10:39:37.919124Z digest=sha256:3259c8485fdb6080c1ce29e0089445e22affd723eacfb3d535b74d40ebf07fa3

Observation 01492be9-a6a6-4bc4-8add-742de2aa8483 · outbound

This paper cites S2-VLA: Decoupling Semantic and Spatial Streams in Vision- Language-Action Models for Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving S2-VLA: Decoupling Semantic and Spatial Streams in Vision- Language-Action Models for Autonomous Driving, 2026

Reference 50

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source=pdf_text observed=2026-08-01T10:39:38.013655Z digest=sha256:38603d3c65c0a062c75a97412c588a01edab527fdc127682bcde75b7aff5c99a

Observation 5bb4a1a3-d22c-4392-bf44-2103b15936e8 · outbound

This paper cites Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution, 2025

Reference 51

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source=pdf_text observed=2026-08-01T10:39:38.123831Z digest=sha256:bfeb4280f2e0e0b929a29348c317a65016973ef13d4d65b0266e9a6fde4944e9

Observation 1d05fd04-b1a1-40c3-aa84-1d5004b2c5c6 · outbound

This paper cites IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving, 2026

Reference 52

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source=pdf_text observed=2026-08-01T10:39:38.196196Z digest=sha256:48f067fef029925828733414573972d28e0d2316e826169684b4a911ce7dc1f3

Observation 7bd20838-1cfa-4551-a825-6b49515b4223 · outbound

This paper cites Epona: Autoregressive Diffusion World Model for Autonomous Driving, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Epona: Autoregressive Diffusion World Model for Autonomous Driving, 2025

Reference 53

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source=pdf_text observed=2026-08-01T10:39:38.284545Z digest=sha256:4ebce6d7be539c18d37823aff561ddf98d7793d09e1a94993c729215fc89bc77

Observation 077c6bbc-a05e-4cf8-8da8-0deda56dc53e · outbound

This paper cites From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction, 2025

Reference 54

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source=pdf_text observed=2026-08-01T10:39:38.365952Z digest=sha256:54c94c929cd349430b9a75bef5f32cfdd81ea8361abbe380d795a59548cd882a

Observation 8548e6fa-b86e-4b6d-8e85-82f5aef7484e · outbound

This paper cites World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model, 2025.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model, 2025

Reference 55

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source=pdf_text observed=2026-08-01T10:39:38.446228Z digest=sha256:9904f6cb4b98cda7179c856d33174bb01efb57a7539774da8c58789f3eea0b37

Observation ac51b4e1-5c98-4744-9088-2dc5a021defb · outbound

This paper cites ForgeDrive: Bidirectional Cross-Conditioning for Unified Visual-Action Generation in Autonomous Driving, 2026.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving ForgeDrive: Bidirectional Cross-Conditioning for Unified Visual-Action Generation in Autonomous Driving, 2026

Reference 56

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source=pdf_text observed=2026-08-01T10:39:38.526073Z digest=sha256:7336e2989b578bb38d06adbf13daa144ac75cefbb02caf5790ba691069f36055

Observation f9c2c395-da40-4d99-b672-dd6fd556b3ae · outbound

This paper cites Waslander.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Waslander

Reference 57

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source=pdf_text observed=2026-08-01T10:39:38.668771Z digest=sha256:3730c548ddfea15b45a1a3f8643c6506074f139334364eaf8bd18d2013e501ff

Observation eef61f96-3035-4e6b-a0ca-d68655549800 · outbound

This paper cites Zhao, Yun Zhang, Zhiyu Huang, Bolei Zhou, and Jiaqi Ma.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving Zhao, Yun Zhang, Zhiyu Huang, Bolei Zhou, and Jiaqi Ma

Reference 58

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source=pdf_text observed=2026-08-01T10:39:38.789758Z digest=sha256:f019ccba1cd288a7b3cee086316b6479d41bd97ef4a0ecc11701ac2ef2a087cd

Observation ad30f255-d360-4dde-8aba-9051e48d0174 · outbound

This paper cites w/o prior distillation.

PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving w/o prior distillation

Reference 59

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source=pdf_text observed=2026-08-01T10:39:38.918417Z digest=sha256:998eb77e681c244c848486a19cbc6c6c7278f1248d7c383cb2fbdca4078691e7

Pith citing papers

Observation 15a1b205-1a8e-4000-9b2a-3ebb1e4a3d38 · inbound

CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation cites this paper.

CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation PerceptDrive: Perception Prior World-Action Modeling with Adaptive Expert Routing for End-to-End Autonomous Driving

Reference 22

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source=arxiv_source observed=2026-07-30T21:05:52.655461Z digest=sha256:65086ea99211ab29a9945252d86181e3dbbfd078e4cd1b76f439619a90e35957