SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving | Paper Citation Record

Observation 276b09f3-8f89-4601-b597-57c55ec5358b · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Flamingo: a visual language model for few-shot learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.629317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6730d38-5352-4701-b83f-702588a0ccfe · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.674610Z

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Observation da28aac1-5ac8-4f0d-890c-6f0285f9d013 · outbound

This paper cites nuscenes: A mul- timodal dataset for autonomous driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving nuscenes: A mul- timodal dataset for autonomous driving

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.768833Z

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Observation 2fc13091-b70c-40bf-b23e-1dcb2bad557a · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.833342Z

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Unavailable: canonical work link unavailable.

Observation 658e3384-6dee-4d1c-80ac-f32e8f943178 · outbound

This paper cites Hierarchical adaptive path-tracking control for au- tonomous vehicles.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Hierarchical adaptive path-tracking control for au- tonomous vehicles

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:34.430878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f008c154-31b4-4555-8a8e-3baa57277ba9 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Driving with llms: Fusing object-level vec- tor modality for explainable autonomous driving

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:34.207155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ddb1823-cd2b-4e0f-9cbc-cde92dabd8e4 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving End-to-end autonomous driving: Challenges and frontiers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.924638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6b23201-5027-46c4-9605-165d5077954c · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.198547Z

Source-reported events for the cited work

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Observation 35a88492-c3c6-4ed6-b00b-561898cd854c · outbound

This paper cites Asynchronous large language model en- hanced planner for autonomous driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Asynchronous large language model en- hanced planner for autonomous driving

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.715728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdbd7eb1-d76e-4bbb-b024-8f3c4ed19269 · outbound

This paper cites Causal confusion in imitation learning.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Causal confusion in imitation learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.468093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc04035f-fc92-4942-9dde-be290ae4159d · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Large scale interactive mo- tion forecasting for autonomous driving: The waymo open motion dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.194643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d0205fd-355d-48d1-af6a-9274136f3409 · outbound

This paper cites Eva-02: A visual representation for neon genesis.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Eva-02: A visual representation for neon genesis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.544589Z

Source-reported events for the cited work

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Observation ea53a400-5b55-402c-894c-d7973c02efe3 · outbound

This paper cites Drive like a human: Rethinking autonomous driving with large language models.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Drive like a human: Rethinking autonomous driving with large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:32.906700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3cff8ea-29db-40ea-8638-5f49bde2d487 · outbound

This paper cites Densetnt: End-to-end trajectory prediction from dense goal sets.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Densetnt: End-to-end trajectory prediction from dense goal sets

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:32.632957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd497a81-cdc4-4ea8-ae67-325beb9ad1da · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving LoRA: Low-Rank Adaptation of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.737286Z

Source-reported events for the cited work

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Observation 7b48be0e-41ba-4567-994b-50cc90dd02d8 · outbound

This paper cites Planning-oriented autonomous driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Planning-oriented autonomous driving

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:32.328108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d24b8f7-be9d-4f82-a6ad-1d1745cfbd25 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.838099Z

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Observation bea5467c-00ee-49bf-b0d8-963504c6763d · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Vad: Vectorized scene representation for efficient autonomous driving

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:32.033789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4942fa4d-557b-40fd-b20c-5d609be22567 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.983248Z

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Observation 03e0d999-d6e0-493d-9841-d6215ad40ef6 · outbound

This paper cites Inaction: Interpretable action decision making for au- tonomous driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Inaction: Interpretable action decision making for au- tonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.810861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80953946-e365-43b6-99f3-324e2a9e316c · outbound

This paper cites Au- tonomous driving at ulm university: A modular, robust, and sensor-independent fusion approach.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Au- tonomous driving at ulm university: A modular, robust, and sensor-independent fusion approach

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.693333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adc9cb75-6b75-48d5-865e-e91fa89796ad · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Pointpillars: Fast encoders for object detection from point clouds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.588126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40e301da-a670-4a90-807d-d533d53dd8e1 · outbound

This paper cites Exploring the Causality of End-to-End Autonomous Driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Exploring the Causality of End-to-End Autonomous Driving

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:58:29.723569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 67f12da4-7886-4733-93d2-73a475b83fd1 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.296305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 657b68b0-2bd9-4fd0-a9c0-e881d35f135c · outbound

This paper cites Deep learning for lidar point clouds in autonomous driving: A review.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Deep learning for lidar point clouds in autonomous driving: A review

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.363399Z

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Observation 6d192736-d6a9-4225-b5d0-72f4e7859d1a · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.430400Z

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Observation 2ccf52e2-d0ca-4a61-b625-4716c19e1401 · outbound

This paper cites Is ego status all you need for open-loop end-to-end autonomous driving? In CVPR, pages 14864–14873, 2024.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Is ego status all you need for open-loop end-to-end autonomous driving? In CVPR, pages 14864–14873, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.486803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ddf4c21a-3518-4e07-a259-3590e10edb27 · outbound

This paper cites Visual instruction tuning.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Visual instruction tuning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.376181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8132cdb-2cdd-4921-94e5-b6813b232c60 · outbound

This paper cites Multimodal motion prediction with stacked transformers.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Multimodal motion prediction with stacked transformers

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.213795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d0dcdad-23d7-4ce8-917a-6b7016eab980 · outbound

This paper cites A Language Agent for Autonomous Driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving A Language Agent for Autonomous Driving

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.809926Z

Source-reported events for the cited work

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Observation eb765c33-6312-4629-89a1-caade7f13a43 · outbound

This paper cites Deep learning-based vehicle behavior prediction for autonomous driving applica- tions: A review.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Deep learning-based vehicle behavior prediction for autonomous driving applica- tions: A review

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.057707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c701a53e-8ef7-4e4d-a225-ce68ce2206ed · outbound

This paper cites Deep learning for safe autonomous driving: Current challenges and future direc- tions.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Deep learning for safe autonomous driving: Current challenges and future direc- tions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.921292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07be542c-de1e-4962-9894-8ceaae8ad4be · outbound

This paper cites Decision-making framework for automated driving in highway environments.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Decision-making framework for automated driving in highway environments

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.787438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 047da4be-6fae-4175-9278-52358047bac2 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.171672Z

Source-reported events for the cited work

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Observation 5f732ff8-fa63-4203-8438-4801f7bcd602 · outbound

This paper cites Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Safety-enhanced autonomous driving using inter- pretable sensor fusion transformer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.681796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc6d790b-42d9-46c8-9d8e-93723f85bdc5 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.336819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cebb49ea-8182-4acb-8b74-db2d5f7aa3d4 · outbound

This paper cites Pip: Planning- informed trajectory prediction for autonomous driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Pip: Planning- informed trajectory prediction for autonomous driving

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.410535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1095fd23-e170-4e26-bfe9-9ca0b51e3ef1 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Scalability in perception for autonomous driving: Waymo open dataset

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.575750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation faa6b63c-bab3-42d3-ab00-6301e11b668e · outbound

This paper cites SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.552906Z

Source-reported events for the cited work

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Observation 888daba1-1c78-444b-b48d-22f1a99c9662 · outbound

This paper cites Motion planning for autonomous driv- ing: The state of the art and future perspectives.IEEE Trans- actions on Intelligent Vehicles, 8(6):3692–3711, 2023.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Motion planning for autonomous driv- ing: The state of the art and future perspectives.IEEE Trans- actions on Intelligent Vehicles, 8(6):3692–3711, 2023

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.480300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db53d814-cd28-4d22-a610-7f10c58984b5 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.686168Z

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Observation bf955cfa-3aef-4610-92a8-4814669c64ae · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving LLaMA: Open and Efficient Foundation Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.769780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 923377ca-ffd3-496e-bda5-beadd6e834b8 · outbound

This paper cites Exploring object-centric temporal modeling for efficient multi-view 3d object detection.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Exploring object-centric temporal modeling for efficient multi-view 3d object detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.367821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b964573-7bcc-4c09-9b42-4e4732e2c4c5 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.924701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625b22fd-226e-4b2c-af43-dd1c3446eb2d · outbound

This paper cites DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.991762Z

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Unavailable: canonical work link unavailable.

Observation b2194ebb-152c-40f3-9ea3-804ecf462d76 · outbound

This paper cites Drive anywhere: Generalizable end-to-end au- tonomous driving with multi-modal foundation models.

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Drive anywhere: Generalizable end-to-end au- tonomous driving with multi-modal foundation models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.210154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 272ee550-210e-4146-87cb-9bf0cc3d9c90 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Para-drive: Parallelized architecture for real- time autonomous driving

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:29.250475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d920b16-32fa-4835-90c6-cabdb2bba28e · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Drivegpt4: Interpretable end-to-end autonomous driving via large language model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.014278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ce299dd-84a5-45bc-942f-47655291a668 · outbound

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

SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:29.469849Z

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