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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 2 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 2026-08-01T06:32:01.292127+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
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  • malformed identifier0
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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:a67e17f7149355e959f6c4443c321cda30080b14eeb6b555d8aac0a8a1262a50

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=sha256:5a2dcc157374300a2f8327b6d7d867ada4f4cac5a49e612f1aaba7cdc793d0f5

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=sha256:957c7d35e9234383f1d48fa73ae87aa37aff05e9c59ab3abd91169a017a12401

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=sha256:176177d77cb6a958d99a3f665ae374c4ebaea103dd239a53fa33cb173633821c

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=sha256:2d2b7c825e6c0482535fe8f6eb386f184a5207ca5079e12b4382cad8b812c348

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:d7f87e0baa8325a64cd584f3c1e2583eb9bd1df49fb0040d0b804f2e5de6963d

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=sha256:4b34ec5866a3d6b77cb0da08f6221cbf85d724e226347aedf8e8e663f4a29e1f

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=sha256:3a5708ba2f8c56ea69e81a00eb8853afe88dc16ab862f541648994bfe0fe6649

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=sha256:72499b92550aabcdcdc1e2b863f401616e67e17ff23e01968ba7dc0c7f6b62ed

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=sha256:929246b96b4b344def8bc45ef0ae6462633c8df630b6c8a7cb4d63df94fbea9f

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=sha256:1ebad1084675c3830b7284d566357d3cf48266fc04c3597a6be3fea2a155a967

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:e106f1888353277f271d9bedcf377b43fd0844098598a2a0f1c9683a88037f3d

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=sha256:5edd573dfeaa446d22882b5dc0156c9c594d8471d986bf19563d6346f2a68171

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=sha256:7570bc57066ce0d7ebec19149bc1ebf38f645ffa7ef9df22e21a8cbdfc91033e

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:ea7c2efec7b84a8d4d620aa481d0d68f14954a3bffcc1383f693b02e840aa549

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:e3ed2f2884cd7d81c645f71c05b5876acfe2e0ae9d09681a2a11f9e1dcb2ef35

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=sha256:7639be9c3b6a73568ad8d5d0b954d219ba46f0011ae2f8b3b3e7867240e95cd2

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=sha256:0219dcc6972674a8a781b8a064bb78134a8c92679e4328a782931b25f7d6f09c

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=sha256:99eba802705d518d4226268311b8bb5c0403daa21a06b676f423a4fdd81d8afd

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=sha256:35c29fa747b94f6116ed81be746322d0d7b2abe4d558f93f9d38be9e8d7dacaa

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=sha256:1422505ab21e109abc27befefafe9d03b08ba550655062fb217bd72cc6908a2a

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:e5c7cad08ec24044a4bbef80b9e4d8cc405ef75e8457ee52080db5600f6cb34a

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:e046f3a157c472de3583bc00a5adef41f09bcdf85b3b8ca22163ff05d572cc5e

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:efcd1667a68f1fde67b3ffc33544f2d19e47bdf7d4f9ac2b0c0a562468975d70

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=sha256:9d65cdbdd131f4eb6b4243d327cee1f0ea3015497d499337e64d46ffaf5ff003

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:df8726c94700cfe2b1a81cfadf3929143cd808c8ae192eeebc37249a2d5139e6

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:ffa5b5608207ac0cc0abbce7e4df2f8005d783e821ada3464a99872b9b3a17ef

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=sha256:2fd246bee92fefc294ff0d0ba3522a1b2d7e41fc6d41ae0571845f3b5285cafa

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=sha256:2e1fc5e519c0d295ac384e3b0da9b3e9e4fbd0970465c8d65f2fd90623254997

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=sha256:28b54956e443f4c6b8dc704430faa6cf2b342169d029368e460cf7b308f9c32f

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=sha256:055a71311e991dc138e1c169620de0de486fb3b816d24a658bdb4fcdc971e851

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:b60594a27141c926779e8c142f57118926c2a1328116ac3449de705dafedfe39

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:e7ab1d10204e3d96b948b467b5292b30576893a77b1361509a9b188f322cebd4

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=sha256:9c8aea2f277831ca8dbafcda3093c363b2f22d54518ad643dd1235e2419924b9

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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source=pdf_text observed=2026-08-01T10:39:36.442833Z digest=sha256:7391f82bcb3a0b53393184ff044f680cbe1131902e430d0052b005259ed1032c

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=sha256:042111ef03b16b10cc253a619e5ea50a920d0f23999af18e50e0b26c2475fe78

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=sha256:474dbb97c84b3c477fad830647efce4eb37d2d07376bca47f0570c3071dea55d

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:f326e8bdbecb7b1b1ba13d4cd2c5018239a4e7c811902a4bbc9393db872ed8d9

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:dab2c6bc1e8332944cf1708e1d0282e014c44bf7aa3c35ff374011499f5ba2cf

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:beb55a85f8a4efff56e9219bebbeb1de48a7fa6252eb38884b352065af7e3ca3

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:d81cc3b12ea7b5795009729ad14b48694faba3fce629407481b1e9d9b7b3e9e2

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=sha256:7f94b946b5f46515012d4b075e49cc71584586ec26d96df349a33f1b80d1a550

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:ffbfabfe781b94db606c37426afa84833c61e0f7f01f32bf2d69e53bf0e5a816

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:deb8dd7a6a400d940dbcc65e12a6cd56ec09bbfe12dcc01662dee00df47f2033

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=sha256:82a10ac0bf79aa703868a9d20b8bd319c1e7d7dc4e4c566f8c0274bbf5c23851

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=sha256:68fe68186ef08a8f741ebc115b4b67d0bb3456c4af4e6cbd044a21dfb841699e

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:c1206f47c2aaf8680baa52ef559dfec3c32fcee479dfee5795c59a59f8cf320e

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=sha256:3fce8559a70f81e3006e2729014a19a5ceb2f5d06f095d70b9664103d807c515

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=sha256:8971c4b9c5440b7b5f8726ab39fff49298e3c2524e07428f29c248fef498e4d0

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=sha256:95542982394316e8c439303eb18f815c87ada3a925fda87a5f3fbbefde8c495a

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:d56608ee688686b5ccda46a49123df2e8bb3c8f59a008560109b653afb257888

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:e19eac60466c9c13dc325946b5c74a61acb02c9a4e9794eb0ab673fb9520f5ba

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=sha256:231603a83a1cd6818f8e3ddd08c6ddc872dce10542440fc70a8e12fd98475f22

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:b6cc072cce472b53b4b27878fd94b53af682da13d0183ed95af41052cb4e6fad

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=sha256:31b0763d4443f33d15beeb43cdfed2e58b16b7ffe94b191b6669cf4560acbbd4

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=sha256:7647e5c6b6709cd19aada49dced61402d7059c97b91ec69dde2fa7064afd74ab

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:a9b79e916b43ec7c8b286bc7ad489a1de7c74c6b5007f53a0f1663d2b019e409

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=sha256:123fc10ff593e756c27b9790abe6b396dfc74f4682ac643696d8447dd8f8e122

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=sha256:82b6a11f13a47e361b949d7ca12d8e518ee7fecbf34d9e5c19c959d5f105b663

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=sha256:4b8d81e32a73460b20623cf32d3d8c231c4f42cfcecc1fe6b85b0d4189386293