S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation | Paper Citation Record

Observation 31c9008d-33aa-44b6-af9a-559fbd3d502c · outbound

This paper cites GPT-4 Technical Report.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation GPT-4 Technical Report

Reference 1

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Observation 2ed61a3a-8073-4315-877b-5a3a05bd4045 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736,.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736,

Reference 2

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Observation beddcfe4-0057-4cd1-8d22-de14e5b055cc · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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Observation 66aac8d1-ebcc-4f26-8130-3fbccb7b9677 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation PaliGemma: A versatile 3B VLM for transfer

Reference 4

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Observation bed03f34-f29f-4830-a37a-767fcaf7edfc · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation nuscenes: A multi- modal dataset for autonomous driving

Reference 5

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Observation cb07947d-7a04-40f8-b8fd-1dce74a61729 · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Mp3: A unified model to map, perceive, predict and plan

Reference 6

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Observation 74c6998d-0bb9-484f-9753-cf4ef7dc9242 · outbound

This paper cites Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Spatialvlm: Endow- ing vision-language models with spatial reasoning capabili- ties

Reference 7

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Observation 61e4c13f-0271-4849-8a80-d10972dd5686 · outbound

This paper cites Driving with llms: Fusing object-level vec- tor modality for explainable autonomous driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Driving with llms: Fusing object-level vec- tor modality for explainable autonomous driving

Reference 8

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Observation cc1d5806-5d52-4b51-87e6-86b48484e907 · outbound

This paper cites Pali: A jointly- scaled multilingual language-image model.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Pali: A jointly- scaled multilingual language-image model

Reference 9

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Observation 7ef6ce2e-1f01-4d44-aac5-6835a73a4daa · outbound

This paper cites PaLI-3 Vision Language Models: Smaller, Faster, Stronger.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation PaLI-3 Vision Language Models: Smaller, Faster, Stronger

Reference 10

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Observation 6c1db7ac-7239-46d4-a0be-41b8f3b2a0d3 · outbound

This paper cites SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

Reference 11

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Observation 1c0425df-174d-4689-8fb1-2c0ecc62c389 · outbound

This paper cites Scaling instruction- finetuned language models.Journal of Machine Learning Research, 25(70):1–53, 2024.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Scaling instruction- finetuned language models.Journal of Machine Learning Research, 25(70):1–53, 2024

Reference 12

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Observation fe1abe47-c89e-4e09-b562-e7577a5048b2 · outbound

This paper cites End-to-end driving via conditional imitation learning.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation End-to-end driving via conditional imitation learning

Reference 13

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Observation 9f760794-0c1f-42ac-8532-55d501c2ad73 · outbound

This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning,.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Instructblip: Towards general- purpose vision-language models with instruction tuning,

Reference 14

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Observation 96922c51-2048-4dd1-9fd2-44256feccb66 · outbound

This paper cites Holistic autonomous driving un- derstanding by bird’s-eye-view injected multi-modal large models.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Holistic autonomous driving un- derstanding by bird’s-eye-view injected multi-modal large models

Reference 15

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Observation cb7e1ec2-84e9-4a6b-8a38-e17b054a1e1c · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Carla: An open urban driv- ing simulator

Reference 16

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Observation 0013014d-7d77-4c1e-baee-dae7af983233 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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Observation f8049e6c-3ac0-4c77-801f-7df1528b2882 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open mo- tion dataset.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Large scale interactive motion forecasting for autonomous driving: The waymo open mo- tion dataset

Reference 18

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Observation f954c2c1-d40a-4d9f-953e-175b80a289ba · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 19

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Observation 55954c71-019d-45fb-9b36-c3e7d0a0adc3 · outbound

This paper cites Simple-bev: What really mat- ters for multi-sensor bev perception? In2023 IEEE Inter- national Conference on Robotics and Automation (ICRA), pages 2759–2765.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Simple-bev: What really mat- ters for multi-sensor bev perception? In2023 IEEE Inter- national Conference on Robotics and Automation (ICRA), pages 2759–2765

Reference 20

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Observation ae08d836-f8f3-4380-a4f6-34f825239a14 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation The Curious Case of Neural Text Degeneration

Reference 21

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Observation 15c7e1e6-df82-4de6-8f25-392ef1cecf0e · outbound

This paper cites 3d-llm: In- jecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation 3d-llm: In- jecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36:20482–20494,

Reference 22

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Observation b59e1dfc-2918-4289-b8cc-7f1207360a04 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

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Observation f18ee96d-3712-4bea-909d-5cd3c557066a · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 24

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Observation 35d21fce-3f9f-4d2d-a6d9-a1cfab86d2eb · outbound

This paper cites Planning-oriented autonomous driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Planning-oriented autonomous driving

Reference 25

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Observation aa993d85-ab48-4e48-849a-7611211b010f · outbound

This paper cites Emma: End-to-end multimodal model for autonomous driving, 2024.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Emma: End-to-end multimodal model for autonomous driving, 2024

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Observation 6754c6eb-422a-492d-8fc9-68165356f283 · outbound

This paper cites Sym- phony: Learning realistic and diverse agents for autonomous driving simulation.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Sym- phony: Learning realistic and diverse agents for autonomous driving simulation

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Observation 664aad22-6a91-4e60-bfb3-8104a111ae04 · outbound

This paper cites Vad: Vectorized scene representa- tion for efficient autonomous driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Vad: Vectorized scene representa- tion for efficient autonomous driving

Reference 28

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Observation 2be857d5-4059-46d5-9d42-28e4b1e3daf9 · outbound

This paper cites Textual explanations for self-driving ve- hicles.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Textual explanations for self-driving ve- hicles

Reference 29

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Observation 3c205576-dc4f-4a24-9360-742215e8f925 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 30

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Observation 5bf21733-b6ee-4834-8b13-17e90502d7aa · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 31

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Observation e9c72479-8522-4d78-bbcc-03ffe838c2e5 · outbound

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S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Unresolved cited work

Reference 32

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Observation 4bda4cc1-3aed-4cc9-9c3b-47b8eb5bca8c · outbound

This paper cites Maptr: Structured modeling and learning for online vectorized hd map construction.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Maptr: Structured modeling and learning for online vectorized hd map construction

Reference 33

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Observation 228d6bf1-2abc-471a-88f1-f6bdc6a814bd · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 34

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Observation d01682a3-6782-4c96-85f1-e44173bc6431 · outbound

This paper cites Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Bevfusion: Multi- task multi-sensor fusion with unified bird’s-eye view repre- sentation

Reference 35

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Observation c2ddc1c8-05c5-4301-99e0-ce15d4d69c00 · outbound

This paper cites When llms step into the 3d world: A survey and meta-analysis of 3d tasks via multi-modal large language models.arXiv preprint arXiv:2405.10255, 2024.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation When llms step into the 3d world: A survey and meta-analysis of 3d tasks via multi-modal large language models.arXiv preprint arXiv:2405.10255, 2024

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Observation a5409517-a9f0-48ae-a5f2-665bc24bc018 · outbound

This paper cites Dolphins: Multimodal Language Model for Driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Dolphins: Multimodal Language Model for Driving

Reference 37

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Observation 2bfa5ad5-60c5-40f4-9171-974bef9222c6 · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation GPT-Driver: Learning to Drive with GPT

Reference 38

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Observation bd6c8412-f4d4-4fd7-afe4-ec11081536a1 · outbound

This paper cites A Language Agent for Autonomous Driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation A Language Agent for Autonomous Driving

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Observation 9e39d9be-e59f-403f-976d-c0213474736c · outbound

This paper cites MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Reference 40

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Observation f61e82be-4f81-4ba0-8913-d1fad4f12ba0 · outbound

This paper cites Wayformer: Motion forecasting via simple & efficient attention networks.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Wayformer: Motion forecasting via simple & efficient attention networks

Reference 41

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Observation e67a1496-3d2d-4c88-ae80-1e58be36b576 · outbound

This paper cites Gpt-4v(ision) system card, 2023.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Gpt-4v(ision) system card, 2023

Reference 42

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Observation f28f4a2c-ab29-4a21-8347-cb967f1b32f6 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.Advances in neural information processing systems, 1, 1988.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Alvinn: An autonomous land vehicle in a neural network.Advances in neural information processing systems, 1, 1988

Reference 43

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Observation 164843cb-a90f-4556-ac38-254ef3a26b16 · outbound

This paper cites Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa T.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa T

Reference 44

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Observation 2e711174-492a-42da-b0b0-db22b9d36e76 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Learning transferable visual models from natural language supervi- sion

Reference 45

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Observation b3e9b324-3513-4cc7-93ea-a422d1914fe1 · outbound

This paper cites Motionlm: Multi-agent motion forecast- ing as language modeling.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Motionlm: Multi-agent motion forecast- ing as language modeling

Reference 46

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Observation d89266e2-3fe4-4b3b-8013-48662518bcc4 · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Reference 47

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Observation 2c5eda30-d8a7-4be8-8e5c-70e790622df1 · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Lmdrive: Closed-loop end-to-end driving with large language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:52.504616Z

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Observation c18b1de5-5d85-418d-9a19-45888623b327 · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Drivelm: Driving with graph visual question answering

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:52.276600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f5b6328-35fb-47f7-b67c-3ccee3ab4dc0 · outbound

This paper cites UL2: Unifying Language Learning Paradigms.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation UL2: Unifying Language Learning Paradigms

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:45.070721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879eb1ed-e2e9-4b61-84ef-e2af356c1312 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Gemini: A Family of Highly Capable Multimodal Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:45.214604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7888535f-c224-4d0a-9828-58511b917915 · outbound

This paper cites Tokenize the world into object-level knowledge to address long-tail events in autonomous driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Tokenize the world into object-level knowledge to address long-tail events in autonomous driving

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:52.003873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b28db14-2292-474c-ae4f-7fa7680c4b4b · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:45.549532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a03b6eb-83bf-4bae-9457-f30b89c83a66 · outbound

This paper cites Multipath++: Efficient information fu- sion and trajectory aggregation for behavior prediction.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Multipath++: Efficient information fu- sion and trajectory aggregation for behavior prediction

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:45.699027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f776f205-7415-4d28-abd2-ed2c8eda2da1 · outbound

This paper cites OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:45.850206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a79353-1439-4b73-8101-767c0ba465eb · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837, 2022.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:45.988947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d694b7e-af38-40e2-9fb7-028f7c06024d · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Para-drive: Parallelized architecture for real- time autonomous driving

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:51.716475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2ca55e1d-e88e-442e-a77a-233eda41c84c · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong base- line.Advances in Neural Information Processing Systems, 35:6119–6132, 2022

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:51.402951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba4c6815-35bc-404c-9a2a-03768f953b19 · outbound

This paper cites Grok-1.5 vision preview, 2024.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Grok-1.5 vision preview, 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:51.146156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82a398da-2cd3-41a4-8527-1dae377c99d3 · outbound

This paper cites Sparsefusion: Fusing multi-modal sparse rep- resentations for multi-sensor 3d object detection.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Sparsefusion: Fusing multi-modal sparse rep- resentations for multi-sensor 3d object detection

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:50.858663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 590f44fb-28c3-4cdc-86c2-d8339a9b5484 · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Let- ters, 2024.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Let- ters, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:50.578166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2c482d2-a73b-4bfe-9cf6-f7ee97d7fef2 · outbound

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

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:47.007757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4cfb3a3-b7f1-4f2b-a5d0-80d6e43ded02 · outbound

This paper cites Sigmoid loss for language image pre-training.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Sigmoid loss for language image pre-training

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:50.381230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a57a1a17-8e8e-485d-8ff8-4aafe132ef36 · outbound

This paper cites P Xing, Hao Zhang, Joseph E.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation P Xing, Hao Zhang, Joseph E

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:50.071638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 201df00b-e06b-4070-8860-a2f6dee2fa7f · outbound

This paper cites OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:47.398500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab5a7d9-eafd-418e-bcb6-80cc2d23eb9e · outbound

This paper cites GenAD: Generative End-to-End Autonomous Driving.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation GenAD: Generative End-to-End Autonomous Driving

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:38:47.557681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73dfb289-b232-4559-bb1a-f4a08fca04c0 · outbound

This paper cites go straight forward.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation go straight forward

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T12:38:49.760921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 496eae92-decf-4a09-8c35-75b441213256 · outbound

This paper cites 7, we report theADE@5smetric of S4-Driver for each ego-vehicle behavior on WOMD-Planning-ADE benchmark separately.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation 7, we report theADE@5smetric of S4-Driver for each ego-vehicle behavior on WOMD-Planning-ADE benchmark separately

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:49.444570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c2c5b16-bcd8-4a11-a3dd-437c8fde576a · outbound

This paper cites 10, we visualize more planning results on WOMD-Planning-ADE.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation 10, we visualize more planning results on WOMD-Planning-ADE

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:49.104731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2256c5ff-8d20-4b75-b615-7ac5f6e3322e · outbound

This paper cites Camera configuration.We apply different configurations of camera sensors in Tab.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Camera configuration.We apply different configurations of camera sensors in Tab

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:38:48.812486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Reference resolution

Outbound references

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