FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving | Paper Citation Record

Observation baf2715c-1be3-4521-abc3-e43e2b9bdb40 · outbound

This paper cites Qwen3-VL Technical Report.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Qwen3-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:35:25.619788Z

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Observation ff472f16-9f92-466a-90fb-7cbcda0fc46f · outbound

This paper cites Seed2.0 Model Card: Towards in- telligence frontier for real-world complexity.https:// seed.bytedance.com/en/seed2, 2026.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Seed2.0 Model Card: Towards in- telligence frontier for real-world complexity.https:// seed.bytedance.com/en/seed2, 2026

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.508516Z

Source-reported events for the cited work

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Observation e3a9d2e4-3f07-438b-8a05-c7e7ced2a1ff · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving nuscenes: A multi- modal dataset for autonomous driving

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.496473Z

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 21800ba5-0003-48e1-b045-8384ec0972ff · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12):10164– 10183, 2024.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12):10164– 10183, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.484194Z

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 0aeaf7db-aea8-45db-a9b4-ae4f09781ce8 · outbound

This paper cites Impromptu vla: Open weights and open data for driving vision-language-action models.Ad- vances in Neural Information Processing Systems, 38, 2026.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Impromptu vla: Open weights and open data for driving vision-language-action models.Ad- vances in Neural Information Processing Systems, 38, 2026

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.471404Z

Source-reported events for the cited work

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Observation 1cb2f14e-ca97-4576-be36-616e5c180565 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Transfuser: Imitation with transformer-based sensor fusion for autonomous driv- ing.IEEE transactions on pattern analysis and machine in- telligence, 45(11):12878–12895, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.458311Z

Source-reported events for the cited work

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Observation a193732f-0ed6-401a-b97c-db23fe4cb059 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking.Advances in Neural Information Processing Systems, 37:28706–28719, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.444823Z

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 0ee0e7cd-09a2-4c58-9e44-36787ce1a0b1 · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081):633– 638, 2025.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.Nature, 645(8081):633– 638, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.432153Z

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 6a361c2a-b44a-4788-b27b-e11955a030ab · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving St-p3: End-to-end vision-based au- tonomous driving via spatial-temporal feature learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.419484Z

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 99f7c191-52ea-4a23-953f-b688e7590b21 · outbound

This paper cites Planning-oriented autonomous driving.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Planning-oriented autonomous driving

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.406861Z

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 5dd1e694-292e-43fd-9215-12c5bb377ab9 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Mak- ing large language models better planners with reasoning- decision alignment

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.394720Z

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 5ce4b084-8532-4bf7-bb8d-de9f41a9c91c · outbound

This paper cites EMMA: End-to-end multimodal model for autonomous driving.Transactions on Machine Learning Research, 2025.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving EMMA: End-to-end multimodal model for autonomous driving.Transactions on Machine Learning Research, 2025

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.381433Z

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 9fb1ea4b-6e72-4a27-a97c-beebee13d9bf · outbound

This paper cites Drivelmm-o1: A step-by-step reasoning dataset and large multimodal model for driving scenario understanding.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Drivelmm-o1: A step-by-step reasoning dataset and large multimodal model for driving scenario understanding

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.368408Z

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 1b87e1ac-93f2-4c33-aa80-ce3582aab2d9 · outbound

This paper cites Stride-qa: visual question an- swering dataset for spatiotemporal reasoning in urban driv- ing scenes.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Stride-qa: visual question an- swering dataset for spatiotemporal reasoning in urban driv- ing scenes

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.356258Z

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 bb3282ca-dd1e-4f32-a3f2-87978ccfeed9 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Vad: Vectorized scene representa- tion for efficient autonomous driving

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.344310Z

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 29290a5d-e3c8-4a7c-890f-ccd12a425e60 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Efficient memory management for large language model serving with pagedattention

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.331907Z

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 3a1d3271-86e0-40f4-97e4-f092666e0f1d · outbound

This paper cites SGDrive: Scene-to-goal hierarchical world cognition for autonomous driving.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving SGDrive: Scene-to-goal hierarchical world cognition for autonomous driving

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.319344Z

Source-reported events for the cited work

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Observation da694416-3e8e-4db3-be21-417292d50725 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving End-to-end driving with online trajec- tory evaluation via bev world model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.306449Z

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 e564758b-0e6a-4885-a49e-61b887869d52 · outbound

This paper cites Drive-r1: Bridging reasoning and planning in vlms for autonomous driving with reinforcement learning.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Drive-r1: Bridging reasoning and planning in vlms for autonomous driving with reinforcement learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.293686Z

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 920a15ee-bd1f-4251-9a0b-a00f8e61508c · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.280369Z

Source-reported events for the cited work

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Observation 784c82b4-048a-4630-9091-6786c5168941 · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and accelera- tion.Proceedings of machine learning and systems, 6:87– 100, 2024.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Awq: Activation-aware weight quantization for on-device llm compression and accelera- tion.Proceedings of machine learning and systems, 6:87– 100, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.267013Z

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 be62daea-8020-4f46-bfde-61505c6d7ca9 · outbound

This paper cites Ada- ThinkDrive: Adaptive Thinking via Reinforcement Learn- ing for Autonomous Driving.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Ada- ThinkDrive: Adaptive Thinking via Reinforcement Learn- ing for Autonomous Driving

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.252768Z

Source-reported events for the cited work

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Observation 29993b83-e427-442c-9403-2c4b4fe55409 · outbound

This paper cites Lingoqa: Visual question answering for autonomous driv- ing.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Lingoqa: Visual question answering for autonomous driv- ing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.237478Z

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 9101f6ee-5dae-4cbe-b2e6-d550ecf04348 · outbound

This paper cites Llm evaluators recognize and favor their own generations.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Llm evaluators recognize and favor their own generations

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.223652Z

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 e342c1b9-cd4f-421c-bf0d-e23ad8f976f0 · outbound

This paper cites Counterfactual vla: Self- reflective vision-language-action model with adaptive rea- soning.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Counterfactual vla: Self- reflective vision-language-action model with adaptive rea- soning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.210130Z

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 27027327-c621-4850-95f7-988104516d3b · outbound

This paper cites Nuscenes-qa: A multi-modal visual ques- tion answering benchmark for autonomous driving scenario.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Nuscenes-qa: A multi-modal visual ques- tion answering benchmark for autonomous driving scenario

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.197054Z

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 ce11efd7-1587-4591-8dd5-c6f635d21b27 · outbound

This paper cites Qwen3.6-Plus.https://help.aliyun.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Qwen3.6-Plus.https://help.aliyun

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.183865Z

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 20a85061-aac9-42f3-9a11-7389419d8c6b · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T14:35:25.737244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7700c4a-532d-4a34-a7d0-97fe54ba2ef6 · outbound

This paper cites PlanT: Explainable Planning Transformers via Object-Level Representations.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving PlanT: Explainable Planning Transformers via Object-Level Representations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T14:35:25.741050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88a4d238-ed98-46dd-a2ab-9c9198dd35d2 · outbound

This paper cites Proximal Policy Optimization Algorithms.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Proximal Policy Optimization Algorithms

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:35:25.745234Z

Source-reported events for the cited work

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Observation 4938e531-8438-456e-b9ca-8ec713f589af · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T14:35:25.749325Z

Source-reported events for the cited work

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Observation f748ff40-3127-47ca-ada1-8e3ecadd207c · outbound

This paper cites Dast: Difficulty-adaptive slow-thinking for large reasoning models.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Dast: Difficulty-adaptive slow-thinking for large reasoning models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.161593Z

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 e2517302-003a-4fdb-afe8-ab4479911552 · outbound

This paper cites Mastering the game of go without human knowledge.nature, 550(7676): 354–359, 2017.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Mastering the game of go without human knowledge.nature, 550(7676): 354–359, 2017

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.148531Z

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 bf7f49cd-98f8-441c-a35e-5f50c6f07475 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Drivelm: Driving with graph visual question answering

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.134671Z

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 232fa2fc-3f06-48fa-9994-d92fc22f8efd · outbound

This paper cites Sparsedrive: End-to-end au- tonomous driving via sparse scene representation.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Sparsedrive: End-to-end au- tonomous driving via sparse scene representation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.121741Z

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 8d1e04c9-1ce2-483b-9687-01226cc45dd5 · outbound

This paper cites Plan-r1: Safe and feasible trajectory planning as language modeling.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Plan-r1: Safe and feasible trajectory planning as language modeling

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.108383Z

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 addeffb4-7840-4972-9a9a-a0cc5b8e142f · outbound

This paper cites Nuscenes-spatialqa: A spatial understanding and reasoning benchmark for vision- language models in autonomous driving.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Nuscenes-spatialqa: A spatial understanding and reasoning benchmark for vision- language models in autonomous driving

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.094152Z

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 94fd5439-98b8-420d-9cd1-a7a6571cc020 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.080274Z

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 1471a016-68ce-48fc-b6ad-37ced51d6a85 · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Omnidrive: A holistic vision-language dataset for autonomous driving with counterfactual reasoning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.065904Z

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 0dac7509-c878-4482-b034-69e10fa7b83e · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T14:35:25.789279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f18e51-fcea-499f-a103-5722bbd500ff · outbound

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

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Para-drive: Parallelized architecture for real- time autonomous driving

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.051663Z

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 36acb9aa-eb9f-499f-9698-6c4c4b03ba14 · outbound

This paper cites Deepsearch: Overcome the bottleneck of reinforcement learning with verifiable rewards via tree-based search.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Deepsearch: Overcome the bottleneck of reinforcement learning with verifiable rewards via tree-based search

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.037922Z

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 20e05a4e-4e34-4987-9fcf-011735a18435 · outbound

This paper cites Smoothquant: Accurate and effi- cient post-training quantization for large language models.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Smoothquant: Accurate and effi- cient post-training quantization for large language models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.023360Z

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 55771b05-1738-4286-9667-877147781aba · outbound

This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T14:35:25.806937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b2a2c6-aa7c-443d-b345-c9c55141c15c · outbound

This paper cites $autodrive\text{-}pˆ3$: Unified chain of perception–prediction–planning thought via rein- forcement fine-tuning.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving $autodrive\text{-}pˆ3$: Unified chain of perception–prediction–planning thought via rein- forcement fine-tuning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:26.007693Z

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 e8ca61c7-2130-4955-9b90-0b6bc1a71ad1 · outbound

This paper cites Autodrive-r²: Incentivizing reasoning and self-reflection capacity for VLA model in autonomous driving.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Autodrive-r²: Incentivizing reasoning and self-reflection capacity for VLA model in autonomous driving

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:25.993583Z

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 fcdc9474-35eb-40ce-a360-0c98b5a7b32a · outbound

This paper cites STAIR: Improving Safety Alignment with Introspective Reasoning.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving STAIR: Improving Safety Alignment with Introspective Reasoning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:25.979857Z

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 2760771b-6c4f-40b6-8679-66e63f00aa1a · outbound

This paper cites Opendrivevla: Towards end- to-end autonomous driving with large vision language action model.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Opendrivevla: Towards end- to-end autonomous driving with large vision language action model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:35:25.966591Z

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 d07caf60-1a0c-46d5-867c-c7c788a7e9f4 · outbound

This paper cites Autovla: A vision- language-action model for end-to-end autonomous driv- ing with adaptive reasoning and reinforcement fine-tuning.

FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving Autovla: A vision- language-action model for end-to-end autonomous driv- ing with adaptive reasoning and reinforcement fine-tuning

Reference 49

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T14:35:25.951769Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers