TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving | Paper Citation Record

Observation b8b96268-6971-4f15-8069-2260b197eeeb · outbound

This paper cites A survey on vision-language-action models for autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving A survey on vision-language-action models for autonomous driving

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6919ba6-0efc-433e-a41f-1c491956d828 · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915a7126-068e-444b-ae03-de8d56108b0e · outbound

This paper cites Large (vision) language models for autonomous vehicles: Current trends and future directions.IEEE Transactions on Intelligent Transportation Systems, 27(1):187–210, 2025.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Large (vision) language models for autonomous vehicles: Current trends and future directions.IEEE Transactions on Intelligent Transportation Systems, 27(1):187–210, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3de236c-68a2-4321-a4ea-42c63309b17b · outbound

This paper cites arXiv preprint arXiv:2602.20794 (2026) 10.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving arXiv preprint arXiv:2602.20794 (2026) 10

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.723535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f61a0c8-9ba1-4309-b4b2-f0218d36ca7e · outbound

This paper cites Vlm4d: Towards spatiotem- poral awareness in vision language models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Vlm4d: Towards spatiotem- poral awareness in vision language models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4c4179-c0d0-4476-b469-3c0481d825ea · outbound

This paper cites SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.768968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 861a5adf-631c-40b8-8f75-0f348c0e0dfa · outbound

This paper cites Language prompt for autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Language prompt for autonomous driving

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dfe563f-f198-4402-ae9e-086509fbbcf4 · outbound

This paper cites Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.775267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c48582ca-7669-4528-9ff6-ccbfbac2bb58 · outbound

This paper cites SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.788064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1f538e8b-7a8d-43a5-82d4-57540b51ed01 · outbound

This paper cites Last-vla: Thinking in latent spatio-temporal space for vision-language-action in autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Last-vla: Thinking in latent spatio-temporal space for vision-language-action in autonomous driving

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.774425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e2d587e5-328f-4a16-9440-84f0a40e4c5b · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.785029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46478123-a0ee-4b60-b231-0d6b843853f7 · outbound

This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Occworld: Learning a 3d occupancy world model for autonomous driving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fc86e8-123a-4c29-870d-fddeeffbdfd4 · outbound

This paper cites Fastdrivevla: Efficient end-to-end driving via plug-and-play reconstruction-based token pruning.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Fastdrivevla: Efficient end-to-end driving via plug-and-play reconstruction-based token pruning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae3af8db-26ec-48b6-840d-fdc53d1c32d6 · outbound

This paper cites Self-supervised multi- modal learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(7):5299–5318, 2024.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Self-supervised multi- modal learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(7):5299–5318, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c8f65e-d88e-4327-a252-8f31d7b5f100 · outbound

This paper cites Scaling laws for native multimodal models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Scaling laws for native multimodal models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e006fc-13e6-43fa-940d-27a0ddb36540 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.697077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7bce8c10-47e5-4a0c-a60e-e08675495b12 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Drivelm: Driving with graph visual question answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57803ea2-d4b9-4db3-bc67-e67f7b813e83 · outbound

This paper cites STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.701944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eae8dedd-3b8f-46c1-8491-2f5c392b2767 · outbound

This paper cites How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving How Well Do Vision-Language Models Understand Sequential Driving Scenes? A Sensitivity Study

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.702400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92cb2c1d-af41-456c-baa3-9bab77417708 · outbound

This paper cites Are vision llms road-ready? a comprehensive benchmark for safety-critical driving video understanding.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Are vision llms road-ready? a comprehensive benchmark for safety-critical driving video understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35920196-aa0e-4b46-b4e8-e01fcacfda5c · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 9(10):8186–8193, 2024.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Drivegpt4: Interpretable end-to-end autonomous driving via large language model.IEEE Robotics and Automation Letters, 9(10):8186–8193, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a526889-0bdb-4904-a79a-794729963c94 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Lmdrive: Closed-loop end-to-end driving with large language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b821fa7-e409-4343-9315-159f94eb82ee · outbound

This paper cites Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving.Advances in Neural Information Processing Systems, 37:819–844, 2024.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving.Advances in Neural Information Processing Systems, 37:819–844, 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b87845f-0d3c-4920-be44-568882f49c44 · outbound

This paper cites Bench2Drive-VL: Closed-loop VLM evalua- tion for autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Bench2Drive-VL: Closed-loop VLM evalua- tion for autonomous driving

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.711387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25f346f7-6e0e-4859-8ed4-ef39d37eef14 · outbound

This paper cites Carla: An open urban driving simulator.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Carla: An open urban driving simulator

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d661e6c9-302b-4630-a403-b6f2f550e7a1 · outbound

This paper cites Drivemlm: aligning multi-modal large language models with behavioral planning states for autonomous driving.Visual Intelligence, 3(1):22, 2025.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Drivemlm: aligning multi-modal large language models with behavioral planning states for autonomous driving.Visual Intelligence, 3(1):22, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b4a479-4765-4475-9a2f-72f73b2451e2 · outbound

This paper cites Omnidrive: A holistic vision-language dataset for autonomous driving with counterfactual reasoning.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Omnidrive: A holistic vision-language dataset for autonomous driving with counterfactual reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bdbd19f-4d28-4c8d-b2d2-b9a16e1483ae · outbound

This paper cites Bevdriver: Leveraging bev maps in llms for robust closed-loop driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Bevdriver: Leveraging bev maps in llms for robust closed-loop driving

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207aa84a-c5bf-4bc7-96ca-eaf65bf772c0 · outbound

This paper cites OccVLA: Vision-Language-Action Model with Implicit 3D Occupancy Supervision.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving OccVLA: Vision-Language-Action Model with Implicit 3D Occupancy Supervision

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.704784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74f25745-ab09-4ddb-a4c9-dae24d914d3e · outbound

This paper cites Perceptio: Perception enhanced vision language models via spatial token generation.arXiv preprint arXiv:2603.18795, 2026.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Perceptio: Perception enhanced vision language models via spatial token generation.arXiv preprint arXiv:2603.18795, 2026

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.699198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ca8f3b0-d5e3-424b-9a10-73a0ebdc8154 · outbound

This paper cites 3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving 3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.717404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b38fe928-87d4-47db-943c-ad196390170f · outbound

This paper cites Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic Scenarios.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic Scenarios

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.780075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a3cdea60-2758-4ac2-b571-b21616eea9f7 · outbound

This paper cites Task interference in vlms for autonomous driving: When better perception hurts planning.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Task interference in vlms for autonomous driving: When better perception hurts planning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c12cc7c7-3808-498e-97e1-53e37d0fc352 · outbound

This paper cites DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.782546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3eddd94b-ac35-446f-b8d2-a14d6ca92793 · outbound

This paper cites The role of world mod- els in shaping autonomous driving: A comprehensive survey.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving The role of world mod- els in shaping autonomous driving: A comprehensive survey

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.791126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 47af7719-a7c0-4f54-b395-36948c893b8c · outbound

This paper cites World4drive: End-to-end autonomous driving via intention-aware physical latent world model.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving World4drive: End-to-end autonomous driving via intention-aware physical latent world model

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762abc54-3391-4e07-8393-7d427d92a794 · outbound

This paper cites A Survey of World Models for Autonomous Driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving A Survey of World Models for Autonomous Driving

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.777928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e2040c52-803c-45f3-9e28-1167a367483f · outbound

This paper cites Dio: Decomposable implicit 4d occupancy-flow world model.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Dio: Decomposable implicit 4d occupancy-flow world model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e489d821-cf32-48c1-9128-917c9283f15b · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving ProDrive: Proactive Planning for Autonomous Driving via Ego-Environment Co-Evolution

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.790958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 080b498c-5328-4ff9-8c31-2e8f3f3998c6 · outbound

This paper cites Visual point cloud forecasting enables scalable autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Visual point cloud forecasting enables scalable autonomous driving

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 262bdc29-2885-4e02-9aa9-5f5fc06012be · outbound

This paper cites Uno: Unsu- pervised occupancy fields for perception and forecasting.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Uno: Unsu- pervised occupancy fields for perception and forecasting

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6dfff39-892b-46c2-a6a9-223c2a24e304 · outbound

This paper cites DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.765979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11afd099-b8b1-4045-a070-0051ff93e947 · outbound

This paper cites Driveworld: 4d pre-trained scene understanding via world models for autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Driveworld: 4d pre-trained scene understanding via world models for autonomous driving

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74140957-a56f-4c00-bf10-4d7da6e07ee0 · outbound

This paper cites Smart: Scalable multi-agent real-time motion generation via next-token prediction.Advances in Neural Information Processing Systems, 37:114048–114071, 2024.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Smart: Scalable multi-agent real-time motion generation via next-token prediction.Advances in Neural Information Processing Systems, 37:114048–114071, 2024

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7e9baa-6261-490d-8eaa-48b14896e578 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32114f2-9a0a-4edd-8f2c-e21b35daf429 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving GAIA-1: A Generative World Model for Autonomous Driving

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.743512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 350da1f7-c5d0-4710-b786-4bbf0cc377f2 · outbound

This paper cites Model-based imitation learning for urban driving.Advances in Neural Information Processing Systems, 35:20703–20716, 2022.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Model-based imitation learning for urban driving.Advances in Neural Information Processing Systems, 35:20703–20716, 2022

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7952e2b-0e3a-411b-aaad-5872b64e2bb3 · outbound

This paper cites Genie: Generative interactive environments.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Genie: Generative interactive environments

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff4e26f-84a3-4176-8a9d-c929ed3057db · outbound

This paper cites Mastering Diverse Domains through World Models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Mastering Diverse Domains through World Models

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.746248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 278d9e19-8654-478b-868d-cefe9a5fcafa · outbound

This paper cites Taming transformers for high-resolution image synthesis.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Taming transformers for high-resolution image synthesis

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 193f5cf4-c0b2-4c26-b896-30a0a9e4eccf · outbound

This paper cites Unitok: A unified tokenizer for visual generation and understanding.arXiv preprint arXiv:2502.20321, 2025a.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Unitok: A unified tokenizer for visual generation and understanding.arXiv preprint arXiv:2502.20321, 2025a

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.747262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67a34c7c-aa21-486f-925b-cc813c4e5362 · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0f9ed18-93ba-416e-8249-6abb943c4771 · outbound

This paper cites Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.750460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a5a853f-2c37-4481-ab3b-c7f178b1babd · outbound

This paper cites Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.737126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8079c63a-91c5-4246-b6be-ccd30dfc5c97 · outbound

This paper cites Gaussianvlm: Scene-centric 3d vision-language models using language-aligned gaussian splats for embodied reasoning and beyond.IEEE Robotics and Automation Letters, 2025.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Gaussianvlm: Scene-centric 3d vision-language models using language-aligned gaussian splats for embodied reasoning and beyond.IEEE Robotics and Automation Letters, 2025

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8037f1d5-625d-4b19-aa94-e0923566412c · outbound

This paper cites Spatialrgpt: Grounded spatial reasoning in vision-language models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Spatialrgpt: Grounded spatial reasoning in vision-language models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a5f912b-9551-4159-9b3e-ebbc46568574 · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30, 2017.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Neural discrete representation learning.Advances in neural information processing systems, 30, 2017

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b1bce87-431d-40c3-a293-6aa12eedb329 · outbound

This paper cites OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.753360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9a651d6-a409-40df-b8bf-9e20586da551 · outbound

This paper cites an unresolved cited work.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e6add75-b4e5-4e8c-a5a6-cfa91487a6ac · outbound

This paper cites Center-based 3d object detection and track- ing.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Center-based 3d object detection and track- ing

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 210e82b6-f573-4b79-bbf1-76bd2a89d133 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b5bbfa-c3c0-4079-9b45-4739a1ef8ee6 · outbound

This paper cites Qwen3.5-Omni Technical Report.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Qwen3.5-Omni Technical Report

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.760188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 97289252-1dce-4e96-a144-d2fa30b61163 · outbound

This paper cites Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy.Applied Soft Computing, 177:113210, 2025.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy.Applied Soft Computing, 177:113210, 2025

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1622c959-1647-4798-b738-8bb4170be019 · outbound

This paper cites Implementation of image generative models using imagegpt.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Implementation of image generative models using imagegpt

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d4e0f6-4083-48db-8495-a11266bf007b · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Adding conditional control to text-to-image diffusion models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97b4652-3a75-4d1a-958c-770d61feaa04 · outbound

This paper cites Efficient diffusion policies for offline reinforcement learning.Advances in Neural Information Processing Systems, 36:67195–67212, 2023.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Efficient diffusion policies for offline reinforcement learning.Advances in Neural Information Processing Systems, 36:67195–67212, 2023

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc1c05a-84f2-422b-856c-ff759f5597e9 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8904bdf8-ce46-4e8a-9829-6cdcf241dc07 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b241627c-c561-485f-bbfc-ef6e0d4d5ed2 · outbound

This paper cites Planning-oriented autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Planning-oriented autonomous driving

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68950d7e-c73d-4c7b-8593-95f58985cfbd · outbound

This paper cites Is ego status all you need for open-loop end-to-end autonomous driving? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14864–14873, 2024.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Is ego status all you need for open-loop end-to-end autonomous driving? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14864–14873, 2024

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c88c5d-5a33-4882-9503-ab63aa0e51e0 · outbound

This paper cites Don’t shake the wheel: Momentum-aware planning in end-to-end autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Don’t shake the wheel: Momentum-aware planning in end-to-end autonomous driving

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7642de8d-5775-4855-858f-b8eccd584608 · outbound

This paper cites He-drive: Human-like end-to-end driving with vision language models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving He-drive: Human-like end-to-end driving with vision language models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7606be72-9abd-46b0-b037-27ff89473446 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db4518b-b9a4-465f-8813-721bbeaad098 · outbound

This paper cites Prix: learning to plan from raw pixels for end-to-end autonomous driving.IEEE Robotics and Automation Letters, 11(5):6400– 6407, 2026.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Prix: learning to plan from raw pixels for end-to-end autonomous driving.IEEE Robotics and Automation Letters, 11(5):6400– 6407, 2026

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a511359a-1cbb-4b92-8bb5-7a0158c9936c · outbound

This paper cites Making large language models better planners with reasoning-decision alignment.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Making large language models better planners with reasoning-decision alignment

Reference 75

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c2f2884-66aa-4b66-b55d-be0689f21510 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Doe-1: Closed-Loop Autonomous Driving with Large World Model

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.732453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f45c6ce2-5f64-4e72-b85e-ba46c64d8c83 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.734285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cba6eb56-ecd5-470c-8e56-be5cf75d40b8 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.754584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation df4bbb40-2980-4d85-bb34-3c38cb32018e · outbound

This paper cites Drivinggpt: Unifying driving world modeling and planning with multi-modal autoregressive transformers.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Drivinggpt: Unifying driving world modeling and planning with multi-modal autoregressive transformers

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3531b71-aca1-4ca7-8047-b1aa810c5f68 · outbound

This paper cites End-to-end driving with online trajectory evaluation via bev world model.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving End-to-end driving with online trajectory evaluation via bev world model

Reference 80

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b23e7c-19c3-4fa8-b4ff-b47f942a691f · outbound

This paper cites AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.768926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e31df525-e358-4d48-bdf9-f82884c40f85 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.793906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9eff0f14-a0c8-40b5-8845-786537b9f1a3 · outbound

This paper cites Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE transactions on pattern analysis and machine intelligence, 45(11):12878–12895, 2022.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE transactions on pattern analysis and machine intelligence, 45(11):12878–12895, 2022

Reference 83

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab0277b-da50-4532-899e-422807886013 · outbound

This paper cites Hydra-mdp++: Advancing end-to-end driving via hydra-distillation with expert-guided decision analysis.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Hydra-mdp++: Advancing end-to-end driving via hydra-distillation with expert-guided decision analysis

Reference 84

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bee2365-84b7-4650-8eed-d037fb203177 · outbound

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.726240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8699c021-d1bf-4e80-a907-db693704782f · outbound

This paper cites Bevworld: A multimodal world model for autonomous driving via unified bev latent space.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Bevworld: A multimodal world model for autonomous driving via unified bev latent space

Reference 86

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62bd9ea7-f6ca-435f-bdb5-c8dfb5340887 · outbound

This paper cites Driving in the occupancy world: Vision-centric 4d occupancy forecasting and planning via world models for autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Driving in the occupancy world: Vision-centric 4d occupancy forecasting and planning via world models for autonomous driving

Reference 87

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f311e5-161b-4cee-88c6-f46cd821108d · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving nuscenes: A multimodal dataset for autonomous driving

Reference 88

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32aa6c69-2598-4c01-932a-b67f21367d7e · outbound

This paper cites Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmarking.Advances in Neural Information Processing Systems, 37:28706–28719, 2024.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Navsim: Data-driven non- reactive autonomous vehicle simulation and benchmarking.Advances in Neural Information Processing Systems, 37:28706–28719, 2024

Reference 89

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411e0f98-029e-4d00-89af-88992e436be9 · outbound

This paper cites Pseudo-simulation for autonomous driving.arXiv preprint arXiv:2506.04218.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Pseudo-simulation for autonomous driving.arXiv preprint arXiv:2506.04218

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.723525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee945d11-c3ec-4904-82de-45d8ae697ca2 · outbound

This paper cites Transdiffuser: End-to-end trajectory gen- eration with decorrelated multi-modal representation for au- tonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Transdiffuser: End-to-end trajectory gen- eration with decorrelated multi-modal representation for au- tonomous driving

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.711150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2609fdbe-50b8-409a-be08-54e13800c93c · outbound

This paper cites Genad: Gen- erative end-to-end autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Genad: Gen- erative end-to-end autonomous driving

Reference 92

Resolution: unresolved; no resolver link, observed 2026-06-29T17:42:49.902997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13211735-c114-48c9-98bd-807de787ac90 · outbound

This paper cites Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:43:45.714468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8135629e-aa8a-4a3d-ae94-8da1cf4514a6 · outbound

This paper cites Drivedpo: Policy learning via safety dpo for end-to-end autonomous driving.

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving Drivedpo: Policy learning via safety dpo for end-to-end autonomous driving

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:43:45.728952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers