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Paper Citation Record · LEDGER

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

As of 9 August 2026, this Paper Citation Record lists 100 of 104 outbound references and 10 inbound Pith citation observations for arXiv:2506.09800.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.09800 v1

Coverage vector

measured 100 of 104 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:48.792316Z

measured 110 of 110 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:07:43.962043Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T12:21:31.373032Z

Reference resolution

100 of 104 outbound references displayed

  • verified exact2
  • verified fuzzy24
  • unresolved73
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8402467c-6d70-498c-bd74-05e1c40dd042 · outbound

This paper cites DECODE: Domain-aware Continual Domain Expansion for Motion Prediction.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving DECODE: Domain-aware Continual Domain Expansion for Motion Prediction

Reference 1

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local_arxiv, observed 2026-08-07T04:46:49.765068Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9821e47e-3123-4ca5-99d0-3387e3c2b681 · outbound

This paper cites Navsim: Data- driven non-reactive autonomous vehicle simulation and benchmarking,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Navsim: Data- driven non-reactive autonomous vehicle simulation and benchmarking,

Reference 2

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source=pdf_text observed=2026-08-07T04:46:48.326118Z digest=sha256:d24a3441c62f95e591f2a4cf5b72399e2d4c00553d0dc81c5222c1c7fbc86a5e

Observation 1d498071-dc36-4db9-a8b8-2b7e3852b8dd · outbound

This paper cites Milestones in autonomous driving and intelligent vehicles: Survey of surveys,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Milestones in autonomous driving and intelligent vehicles: Survey of surveys,

Reference 3

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Observation decfaf44-c49b-4876-acfa-5c8992b8a58a · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving End-to-end Autonomous Driving: Challenges and Frontiers

Reference 4

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source=pdf_text observed=2026-08-07T04:46:48.336254Z digest=sha256:3299d09529efa59ad570a8ae0dedc4cfec39f4139e9f7bbd5601b7381e27f2b3

Observation d38190ba-0822-4740-945e-696089b02d7d · outbound

This paper cites A review of mo- tion planning techniques for automated vehicles,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving A review of mo- tion planning techniques for automated vehicles,

Reference 5

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source=pdf_text observed=2026-08-07T04:46:48.341682Z digest=sha256:4a0828eff892ba78d487ad3df430d651603de98e042148a790cbdf7981140a3c

Observation 7eb24bb7-0092-42e8-9c46-93fe38857329 · outbound

This paper cites Planning-oriented autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Planning-oriented autonomous driving,

Reference 6

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source=pdf_text observed=2026-08-07T04:46:48.346810Z digest=sha256:fbc54f88f162330d7d5cd36814d9109eec46aa014d3e6ea3b150751dd9ba93d5

Observation 45d83355-b594-406a-a402-d70907a25af7 · outbound

This paper cites VAD: Vectorized Scene Representation for Efficient Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 7

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Observation 7999a2ca-5911-47bb-b905-f29badc3bfdd · outbound

This paper cites Hybrid- prediction integrated planning for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Hybrid- prediction integrated planning for autonomous driving,

Reference 8

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source=pdf_text observed=2026-08-07T04:46:48.357323Z digest=sha256:09bd5376690207582337e09fd9e52dbca231af42336eb03cf74ca526c2239ae1

Observation 32fde899-8ecb-4329-b721-237af9d91204 · outbound

This paper cites Corner case generation and analysis for safety assessment of autonomous vehicles,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Corner case generation and analysis for safety assessment of autonomous vehicles,

Reference 9

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source=pdf_text observed=2026-08-07T04:46:48.362091Z digest=sha256:04a1c2c5db6dc3ccaea1f595b86c50ddd3bc135965576a263137d5dcbb295d64

Observation a379031e-c72e-410e-ae3c-3af92c59d2de · outbound

This paper cites Curse of rarity for autonomous vehicles,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Curse of rarity for autonomous vehicles,

Reference 10

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Observation eab8b7e0-47c5-458c-b8a3-1a454e4f5120 · outbound

This paper cites Dense reinforcement learning for safety validation of autonomous vehicles,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Dense reinforcement learning for safety validation of autonomous vehicles,

Reference 11

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Observation dd53086e-a1f6-4bb4-8744-ea727515ac8f · outbound

This paper cites Dy- namically conservative self-driving planner for long-tail cases,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Dy- namically conservative self-driving planner for long-tail cases,

Reference 12

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source=pdf_text observed=2026-08-07T04:46:48.376826Z digest=sha256:83b84ab64953978366bef7b2bb4e5ff5e578da2de3e644ea0875bee5ea86d49d

Observation a1798597-376b-4195-bc3c-3c389ac808c1 · outbound

This paper cites Towards corner case detection for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Towards corner case detection for autonomous driving,

Reference 13

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source=pdf_text observed=2026-08-07T04:46:48.381365Z digest=sha256:c2ba2206e5a1dffdc6d96155932a0da91bf56f5abde9e5ccf68c03cfcb318e80

Observation 346d59ee-19b3-44a7-920e-0ac39e14df68 · outbound

This paper cites GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving

Reference 14

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source=pdf_text observed=2026-08-07T04:46:48.386060Z digest=sha256:b0b1040132a38b8599c224396709d78bbb888fe21bd6c52f2ae5e02e3982e452

Observation 7194afd4-ed39-4283-8149-172ed286857a · outbound

This paper cites Generalized predictive model for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Generalized predictive model for autonomous driving,

Reference 15

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source=pdf_text observed=2026-08-07T04:46:48.391368Z digest=sha256:1c08e40bbff9c9bd6fdf5ad846ddf49854c4c2735bc1d4a70c1d4fde18639cc6

Observation 92d39a59-86c0-45c9-9e7f-4d7466254827 · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 16

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Observation 6e199353-dfe3-4f98-91af-29e306aa518d · outbound

This paper cites Survey of deep reinforcement learning for motion planning of autonomous vehicles,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Survey of deep reinforcement learning for motion planning of autonomous vehicles,

Reference 17

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Observation 7ae88f35-b9da-4c28-b982-6f07e36a4ae3 · outbound

This paper cites Think2drive: Efficient reinforce- ment learning by thinking with latent world model for autonomous driving (in carla-v2),.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Think2drive: Efficient reinforce- ment learning by thinking with latent world model for autonomous driving (in carla-v2),

Reference 18

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Observation c626cf46-ed36-4d83-b765-0ed71ef4c72b · outbound

This paper cites Improved deep reinforcement learning with expert demonstrations for urban autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Improved deep reinforcement learning with expert demonstrations for urban autonomous driving,

Reference 19

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Observation ed4592d1-7703-4ad7-a4da-f322fdcfb41e · outbound

This paper cites Efficient deep reinforcement learning with imitative expert priors for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Efficient deep reinforcement learning with imitative expert priors for autonomous driving,

Reference 20

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source=pdf_text observed=2026-08-07T04:46:48.416592Z digest=sha256:635a976416f27518cf4fa2293b5e9d05c71113856c8e9a78f42dfe6f8fab3607

Observation ba24bca5-d469-495d-a0ca-a0a7edddcb2d · outbound

This paper cites Model-free deep reinforcement learning for urban autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Model-free deep reinforcement learning for urban autonomous driving,

Reference 21

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Observation c6ec5eef-424f-4551-9e91-0c99bd15c2d9 · outbound

This paper cites Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning,

Reference 22

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Observation 607aa812-40b5-451e-9594-62f1af8fcd38 · outbound

This paper cites DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving

Reference 23

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source=pdf_text observed=2026-08-07T04:46:48.430451Z digest=sha256:bf3240448d13f4806fd276a8c87239784ffe336642aba32f293d5d407e815d67

Observation fd98b21c-a185-4202-ab46-e15e670e6c3d · outbound

This paper cites Diffstack: A differentiable and modular control stack for autonomous vehicles,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Diffstack: A differentiable and modular control stack for autonomous vehicles,

Reference 24

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Observation c5dae32d-ffe3-4118-96a8-b83cf0837aba · outbound

This paper cites Centaur: Robust End-to-End Autonomous Driving with Test-Time Training.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Centaur: Robust End-to-End Autonomous Driving with Test-Time Training

Reference 25

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Observation dba4a370-2986-4b9a-865b-dda2dceb022d · outbound

This paper cites Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving

Reference 26

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Observation 89fad5ed-9ccf-4295-a90f-2f708df81ee6 · outbound

This paper cites Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning,

Reference 27

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Observation b865d178-f45a-4e36-bb7c-3b97b30b9a28 · outbound

This paper cites Continual pedestrian trajectory learning with social generative replay,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Continual pedestrian trajectory learning with social generative replay,

Reference 28

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Observation 46972850-08de-4b16-be71-d6d56799fc94 · outbound

This paper cites Human-guided continual learning for personalized decision-making of autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Human-guided continual learning for personalized decision-making of autonomous driving,

Reference 29

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source=pdf_text observed=2026-08-07T04:46:48.460742Z digest=sha256:feaeb722af7aff1ade4bc5490a0603302cccb4efd76a147d426ba63c259d805b

Observation c543517a-49d1-4931-9921-4d60c94cb158 · outbound

This paper cites Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Continual Adaptation for Autonomous Driving with the Mixture of Progressive Experts Network

Reference 30

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Observation bcf50a24-509f-4d26-b587-03168faf574a · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Lora: Low-rank adaptation of large language models

Reference 31

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Observation eb9da4a8-7676-480f-a711-dd084cd379ba · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 32

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source=pdf_text observed=2026-08-07T04:46:48.475607Z digest=sha256:63c2ff8cb36623c6838b5dc7c458c09fead91055362722178ba4ed25609b4a17

Observation 76df21cc-4e71-4c30-a675-0a91f3236e43 · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Reference 33

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Observation 65c52376-cca9-4086-9499-485a66525bf5 · outbound

This paper cites Stretchbev: Stretching future instance pre- diction spatially and temporally,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Stretchbev: Stretching future instance pre- diction spatially and temporally,

Reference 34

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source=pdf_text observed=2026-08-07T04:46:48.486534Z digest=sha256:855a06d7ee70274f3a43bcc1362c16f10a4bfb7e4bad0bb2e5e2b748d1baaca2

Observation 6cb4a9a4-9330-422c-a37c-fafd9e920e03 · outbound

This paper cites Delving into the devils of bird’s-eye-view perception: A review, evaluation and recipe,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Delving into the devils of bird’s-eye-view perception: A review, evaluation and recipe,

Reference 35

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source=pdf_text observed=2026-08-07T04:46:48.491606Z digest=sha256:d91fd0484bafc5de458f2d0d6df370c9a6fa648a36aa44546a014680c84a4f30

Observation 063ead58-24e5-4c3a-a915-3ed2cd8964f4 · outbound

This paper cites FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving

Reference 36

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source=pdf_text observed=2026-08-07T04:46:48.495821Z digest=sha256:e7239f3d07661cdb78d5af6461c04c71169a64d4c2a8b1ec04c7de2cf70b991f

Observation 3d344010-4e2f-475b-a41b-780110dc5a2d · outbound

This paper cites Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end autonomous driving,

Reference 37

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source=pdf_text observed=2026-08-07T04:46:48.500391Z digest=sha256:c0a714a5579c4eafbb1c4277231251099e1b22c79d863dd4f051a7384588149b

Observation 255a3f2c-0f18-4d6d-82ab-174b952a950e · outbound

This paper cites PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.504658Z digest=sha256:8e55910defef6fe7eaccfe331c20dbe58c5c5dcba34a4f826de729836f69104a

Observation f20774b7-cf37-4bae-9dee-7010f510e8b7 · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 39

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source=pdf_text observed=2026-08-07T04:46:48.509106Z digest=sha256:d7f891aa589eec0e1220a787691e2256c65ba29824469456c51662c8a9554cf7

Observation f6d22371-fd69-4579-959d-a2527b26ce68 · outbound

This paper cites DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 40

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source=pdf_text observed=2026-08-07T04:46:48.513554Z digest=sha256:585ff332e4bea5d56ad0b8cfc79458975f0ab5ef70359982777f2ab486dbcbab

Observation e76515f4-2540-42b2-97c4-5ce4baba668a · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving GPT-Driver: Learning to Drive with GPT

Reference 41

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source=pdf_text observed=2026-08-07T04:46:48.518164Z digest=sha256:084e8b9e14875647448e946ed417591771912c44b4a0752e3f4231d1372db675

Observation 3b83f458-fcbb-4a1d-b7a9-a70e6d658a3c · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 42

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source=pdf_text observed=2026-08-07T04:46:48.522803Z digest=sha256:2d4efcb0caf3365f5d61ff5f83172fc89b1209408478767009aed2643967f6f9

Observation 3b2e78a3-8d21-452a-8543-5ad27dd8ced5 · outbound

This paper cites A Language Agent for Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving A Language Agent for Autonomous Driving

Reference 43

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source=pdf_text observed=2026-08-07T04:46:48.526985Z digest=sha256:de989883b42218d9d366778d53a5f7578dd724c499151f70b957bee31f351113

Observation 6be7e58b-d9ca-4819-a9cf-fad27244db36 · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving DriveLM: Driving with Graph Visual Question Answering

Reference 44

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source=pdf_text observed=2026-08-07T04:46:48.531358Z digest=sha256:cfa9500276c0ec30102f9114cab818579856b57cee013c21f602fd40a133e651

Observation 2239e35c-08c0-416c-a2e6-28ac3d011aef · outbound

This paper cites Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation

Reference 45

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source=pdf_text observed=2026-08-07T04:46:48.535599Z digest=sha256:b7ccd441471ad60a2d7d1724e70da731c77df0320e6e1b01e254de6fd8cf0942

Observation 05639e8d-1851-43bb-bff4-5c20035b5819 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving,

Reference 46

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source=pdf_text observed=2026-08-07T04:46:48.540280Z digest=sha256:4cdf28f7658342b90b8f90e41b5e4af222296da42092065b9d866b5b1e54ddfa

Observation 3c3a2dac-4cd4-4d64-b4f3-36b75be3ac55 · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Deep reinforcement learning for autonomous driving: A survey,

Reference 47

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source=pdf_text observed=2026-08-07T04:46:48.544493Z digest=sha256:9034a6fe889d80150bdf6081bea9259e5892449b6b9c0018add7e37eedc0c5eb

Observation ecbbecb0-f3f8-455f-ba40-abc1ba52b0e3 · outbound

This paper cites Human-guided re- inforcement learning with sim-to-real transfer for autonomous naviga- tion,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Human-guided re- inforcement learning with sim-to-real transfer for autonomous naviga- tion,

Reference 48

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.548535Z digest=sha256:fc272e075046ace59547af44d44a8f688b8bb9c5c13bed0d9261b8cab67218c1

Observation f9d4b172-d015-40cc-970b-f031c05f4c32 · outbound

This paper cites Augmenting reinforcement learn- ing with transformer-based scene representation learning for decision- making of autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Augmenting reinforcement learn- ing with transformer-based scene representation learning for decision- making of autonomous driving,

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.553003Z digest=sha256:28752a9da8ca8e69c419e2a2c71c8e85c7ff8ced3a633fe79d07f4c9ec525d86

Observation 828bca55-8c0f-4248-95e0-f3985405ef6f · outbound

This paper cites Learning to drive from a world on rails,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Learning to drive from a world on rails,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.252422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.557436Z digest=sha256:b2f9b273790fd410e59d117fcd083b7d19a7f41cecec4dae708119e965adaad8

Observation 83eee2b8-990d-4db7-90b5-7157f6452cbe · outbound

This paper cites Feedback-guided autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Feedback-guided autonomous driving,

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.237113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.561611Z digest=sha256:c23768fd880f065b3d20d526bf8aa0e3cb8b73f34904ee7252dcb6fe543463cf

Observation 7a75bb14-9ff9-41cc-a158-6082856d0231 · outbound

This paper cites End-to- end urban driving by imitating a reinforcement learning coach,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving End-to- end urban driving by imitating a reinforcement learning coach,

Reference 52

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source=pdf_text observed=2026-08-07T04:46:48.565548Z digest=sha256:b47d9923332b8d6476ffb421908bef6fceba20b40886ba61059e0baf3c8755c1

Observation d47bc094-e0fa-4fb9-a6b6-c19f10c44de8 · outbound

This paper cites Think twice before driving: Towards scalable decoders for end-to-end autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Think twice before driving: Towards scalable decoders for end-to-end autonomous driving,

Reference 53

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source=pdf_text observed=2026-08-07T04:46:48.569730Z digest=sha256:394b99f6f692e002577620e5e83d4e9e15f2fbe60dfdc00a584b35076f0d662a

Observation 3c4be4ea-7fee-4d08-b092-e49086855cb6 · outbound

This paper cites AdaWM: Adaptive World Model based Planning for Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving AdaWM: Adaptive World Model based Planning for Autonomous Driving

Reference 54

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source=pdf_text observed=2026-08-07T04:46:48.573729Z digest=sha256:620b7a940ea389174e4bdb5e4e60aaafc503618763afc847c4946d51f27d66d6

Observation 4ac2866b-b561-463e-9bf7-25e4235fce5d · outbound

This paper cites TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.578203Z digest=sha256:bdd581fcbabdd782c31105c9c139274fa5ba752eff82d665d541bdd167ad97ba

Observation 7d155c52-8a82-4474-9b45-ffef432f010c · outbound

This paper cites Preventing catas- trophic forgetting and distribution mismatch in knowledge distillation via synthetic data,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Preventing catas- trophic forgetting and distribution mismatch in knowledge distillation via synthetic data,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.201579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.582667Z digest=sha256:19b13ed99d7ed3ce218bace244755551917ff2fc51d3270d9edd0266c64bcf88

Observation e8d06a3c-662a-45a2-aee4-28a54aeabdac · outbound

This paper cites Self- correcting llm-controlled diffusion models,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Self- correcting llm-controlled diffusion models,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.186029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.586795Z digest=sha256:52457ff3b188adc787f27c716c09da438faf70d5b0f85d671379829d1ee03a1a

Observation 754b6889-8063-498f-852a-df942a059d2b · outbound

This paper cites Active finetuning: Exploiting annotation budget in the pretraining-finetuning paradigm,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Active finetuning: Exploiting annotation budget in the pretraining-finetuning paradigm,

Reference 58

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source=pdf_text observed=2026-08-07T04:46:48.591130Z digest=sha256:33328dcbcd8f4cc980a4081f589edb87faa3b80564ff6949542ec3361d1304a4

Observation 6c1bb7b6-f432-4a89-a7f1-01fcbe9e62e3 · outbound

This paper cites ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving

Reference 59

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source=pdf_text observed=2026-08-07T04:46:48.595264Z digest=sha256:66635533105b7006ad7833db81890eb6d023c7c8a0d73ccd7d4513eb11bfa8e2

Observation 10e5fbc3-e30a-4a61-9136-346a2b2fdfad · outbound

This paper cites Robust Autonomy Emerges from Self-Play.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Robust Autonomy Emerges from Self-Play

Reference 60

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source=pdf_text observed=2026-08-07T04:46:48.599598Z digest=sha256:a429b767a4fb4955ce2d4b31758d4b191f31890d8912102cc042cc5c1ea4535d

Observation 4e9007a6-cfe4-47e9-8308-3371b0aed119 · outbound

This paper cites Learning to drive via asymmetric self-play,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Learning to drive via asymmetric self-play,

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.160081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.603722Z digest=sha256:fd373cbb4210efd480448d6c02d16b4d665975ba12c3be1b7c4efa44266092d0

Observation 8226e53a-8bf5-42ca-bd77-87ead70d61f8 · outbound

This paper cites Finetuning generative trajectory model with reinforcement learning from human feedback,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Finetuning generative trajectory model with reinforcement learning from human feedback,

Reference 62

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.608076Z digest=sha256:4fa779fa7ad1d6b443e72637813b4447ba7ab9ed032c6f0476ed84748b602d55

Observation 93288602-a718-42d0-9b29-d06ed7a4cbd4 · outbound

This paper cites Confidence-aware reinforcement learning for self-driving cars,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Confidence-aware reinforcement learning for self-driving cars,

Reference 63

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source=pdf_text observed=2026-08-07T04:46:48.612314Z digest=sha256:0e85465f6465bd519d5d36df5ef9ca1895d4cef217e66f73303aa5724a361c4d

Observation 5bea14bd-31cb-44a9-80e3-43710b647d73 · outbound

This paper cites Monte carlo motion plan- ning for robot trajectory optimization under uncertainty,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Monte carlo motion plan- ning for robot trajectory optimization under uncertainty,

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.134820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.616374Z digest=sha256:704041f9ca02d91bf6e43db5ea0a223b3d52d2a1d9398060d57589f3c864fdeb

Observation 953937e5-ede6-4105-bbaf-ecd1f8b477a9 · outbound

This paper cites Deep eviden- tial regression,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Deep eviden- tial regression,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.119306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.620763Z digest=sha256:c4e647caded4cf8d7e77630209f2bbb080a60780a2647f1950c9ddd62312a818

Observation b89de8bb-8ef3-454b-b5b7-ec9d4c96cb98 · outbound

This paper cites Improving expert predictions with conformal prediction,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Improving expert predictions with conformal prediction,

Reference 66

Resolution
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raw_fallback, observed 2026-08-07T04:46:50.104045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.625177Z digest=sha256:0f0c65a145bb0b5c57d6a3393a67696db9ef102e995ac3052a83333b3e41d800

Observation 31c64ceb-fa75-4e74-ae07-3a30913577f0 · outbound

This paper cites Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models

Reference 67

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.629399Z digest=sha256:6f62bbce5c6b8bb673f6eed81b8cd3412f0cbd4f48d16876d10ec5702fa93b17

Observation 6f7023bb-dd29-4e6f-935b-d66cd2cb5a74 · outbound

This paper cites Motion style transfer: Modular low-rank adaptation for deep motion forecasting,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Motion style transfer: Modular low-rank adaptation for deep motion forecasting,

Reference 68

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source=pdf_text observed=2026-08-07T04:46:48.634228Z digest=sha256:299236a4479645ac02c581717bf83f7733f3e30faf0212519fdb56e7adf7f146

Observation ccbf409c-7b76-463c-aeae-9b86ca8e0f19 · outbound

This paper cites Lord: Adapting differentiable driving policies to distribution shifts,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Lord: Adapting differentiable driving policies to distribution shifts,

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.078831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.638594Z digest=sha256:7be06c82802ebc9aa43c402b050d03efa7d7d8792c9f5362978cb52f20a2c69c

Observation 00d940d7-86af-4640-816a-025469a6d071 · outbound

This paper cites Parting with misconceptions about learning-based vehicle motion planning,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Parting with misconceptions about learning-based vehicle motion planning,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.063469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.642804Z digest=sha256:c775f56b98b2dff7491de82957ec4b32ef6fd526d1ebaa29d24464431fb8620b

Observation 122c67e2-91e2-4d92-bd66-dce725c82133 · outbound

This paper cites A survey on an emerging safety challenge for autonomous vehicles: Safety of the intended functionality,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving A survey on an emerging safety challenge for autonomous vehicles: Safety of the intended functionality,

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.046582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.647438Z digest=sha256:20ee5f2cfabfd43bad4037f5b8469416cb5368d444a79e5e8528024a82978bb3

Observation 32efe37a-17ed-4665-bc65-20ff58921829 · outbound

This paper cites Sotif entropy: Online sotif risk quantification and mitigation for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Sotif entropy: Online sotif risk quantification and mitigation for autonomous driving,

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-07T04:46:50.031126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.651821Z digest=sha256:be8bb14d31e5dc609619d153df85abafdf224b5c21258e8e2306317574f6bc63

Observation 8fb457d8-f4dc-420c-b01a-290a032e3508 · outbound

This paper cites Safe reinforcement learning in constrained markov decision processes,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Safe reinforcement learning in constrained markov decision processes,

Reference 73

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.659218Z digest=sha256:b68a395d207fe3dbba06dc1827b00e80429fbbd344df2918a60a51c5034cd3ca

Observation 7eb399d4-6534-43bc-b9d7-3190b255e800 · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.664638Z digest=sha256:45499a189ef1a4f4b2be5391799a36ba9b4542d668620639c3e7aada6ef30edb

Observation 7c1de9e8-a29e-49c2-a15c-bb75d739b588 · outbound

This paper cites Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.669459Z digest=sha256:3afec39b9e135aa7bbbead789f7be0eafef118163f2bb77621fcb9d648259714

Observation 6e25b352-25b0-4570-8925-f05982d5d1a8 · outbound

This paper cites Rehearsal revealed: The limits and merits of revisiting samples in continual learning,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Rehearsal revealed: The limits and merits of revisiting samples in continual learning,

Reference 76

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raw_fallback, observed 2026-08-07T04:46:49.998762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.674698Z digest=sha256:74616640a6ec4a8fcec5a7209898d28efed9403ed67a5d97af7bf2541387952c

Observation 5f746654-6adb-4dbf-a318-8c53a8eda980 · outbound

This paper cites Posterior network: Uncertainty estimation without ood samples via density-based pseudo- counts,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Posterior network: Uncertainty estimation without ood samples via density-based pseudo- counts,

Reference 77

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.679365Z digest=sha256:b050939da8691a2e9c061645ef012da698d2f9264ea1f6b7b16ea3a7515d672e

Observation 8ba1c700-8c77-481d-b84a-11e253f46662 · outbound

This paper cites Coles, J.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Coles, J

Reference 78

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.683846Z digest=sha256:b35d0dfe5551909813c2db6b16ad78190d8e1862c21cf65b7ad2f612064b480e

Observation b065f5ab-5a88-4f32-b553-1679a401bb2f · outbound

This paper cites Statistical inference using extreme order statistics,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Statistical inference using extreme order statistics,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:49.958060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.688375Z digest=sha256:02e1930d15877ff4719e6543973f218a47217ce9ea2a65d6b977f6951fa959f2

Observation 2b30f9b2-3666-477c-af2c-45896d7acb99 · outbound

This paper cites Parameter and quantile estimation for the generalized pareto distribution,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Parameter and quantile estimation for the generalized pareto distribution,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:49.942790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.692667Z digest=sha256:36174a5e734c9547ad21bc9e92d84e5ea89a6637c25f71e42105b5f12163cd0f

Observation 24bb7eb0-b088-4559-8aa3-fc17e949b19c · outbound

This paper cites Navsim leaderboard,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Navsim leaderboard,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:49.927563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.697099Z digest=sha256:3603bf9d7fa12d3035e44c03d0d6ebf1cbeb933c6766af40b62cc71b02cb23c2

Observation 8b90b923-eed4-4941-8e48-4d5d685db881 · outbound

This paper cites Carla: An open urban driving simulator,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Carla: An open urban driving simulator,

Reference 82

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.702376Z digest=sha256:693a6fd0a69386a015cbd5dce8c506af85f99cc52d06ecb8ec521c4909f050cc

Observation fd386d21-5ba9-4b05-b8bc-cc062f60281b · outbound

This paper cites Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving,

Reference 83

Resolution
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raw_fallback, observed 2026-08-07T04:46:49.903477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.707753Z digest=sha256:6921a73a23becd407fcd9079420b1cbd9e967ddc70652929701b5a1fa2a4a888

Observation d7a51465-e984-40c0-b4e7-c449c5a96d69 · outbound

This paper cites Pre- crash scenario typology for crash avoidance research,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Pre- crash scenario typology for crash avoidance research,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:49.886041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.712409Z digest=sha256:283fe07f695c338377524ba7c22a5dc8dca26aef6e2da31856cf8aed8a367228

Observation d2a0e32e-4259-4be6-9ae4-c5bc483690ce · outbound

This paper cites Trans- fuser: Imitation with transformer-based sensor fusion for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Trans- fuser: Imitation with transformer-based sensor fusion for autonomous driving,

Reference 85

Resolution
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raw_fallback, observed 2026-08-07T04:46:49.870784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.716997Z digest=sha256:2f5f266b506250e437da63a81c55085acf079791f5c56c84379f98f16feeedee

Observation 627701fb-f913-4cbd-b9d1-e9039387296c · outbound

This paper cites DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba

Reference 86

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.721396Z digest=sha256:7a13c5b3bbede87dd871388ebea8190cbcc9d58083a4e984b489f769400f6158

Observation 5410b454-a9f3-41e8-b3d8-fcdad92f2e51 · outbound

This paper cites Goalflow: Goal-driven flow matching for multimodal trajec- tories generation in end-to-end autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Goalflow: Goal-driven flow matching for multimodal trajec- tories generation in end-to-end autonomous driving,

Reference 87

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.726024Z digest=sha256:7f7b5440f0d5c59dd9f6275ca2371173085be41b032dba11997ce302f62654b5

Observation 9a0f5c6b-f6b4-489f-94eb-27489620bce9 · outbound

This paper cites Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Reference 88

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.730479Z digest=sha256:08c8d2a97da6d1476c2be39cde46e1afe58b6d8c5d39ef7bc504183fdafd469c

Observation b1f2b9a4-75ba-42ea-9beb-febd44ed032d · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Para- drive: Parallelized architecture for real-time autonomous driving,

Reference 89

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.735790Z digest=sha256:ee70c2839457edefb6c7ff9ef3ded07df949d1924e483b11b9d5c950408550ce

Observation 9686d840-5698-45b5-ba74-9b635dbfc5a0 · outbound

This paper cites Hidden Biases of End-to-End Driving Datasets.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Hidden Biases of End-to-End Driving Datasets

Reference 90

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.740822Z digest=sha256:3e093c6045c48418b9be9f50abd3ce865f1735c539b92a3db8c42c4c88557c4f

Observation 5a32bb09-49df-41dd-8e53-51d6637cb05d · outbound

This paper cites Rllib: Abstractions for distributed rein- forcement learning,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Rllib: Abstractions for distributed rein- forcement learning,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:46:49.845466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:46:48.745415Z digest=sha256:d5facc3d2caaef11f0da5addca3a85388a530e6aeccb527e06da0271fa715b51

Observation 5fd21f37-e8aa-46ff-83e5-46ff9dc1b46f · outbound

This paper cites Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,

Reference 92

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.750158Z digest=sha256:04c0da6773e3dc951089579445210fa8a2b7a385134f84066d25d5873b8c8cac

Observation d631f870-768b-4547-8d72-2ad57b9d27a9 · outbound

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

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes

Reference 93

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.755295Z digest=sha256:8f1fd6612664e85ab369d0a7e957ba64d76bde8d007ef2518a2e3d1d7bc587b0

Observation 79d5cf72-8dc2-41c6-954a-e2fe9cdce745 · outbound

This paper cites Drivetransformer: Unified trans- former for scalable end-to-end autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Drivetransformer: Unified trans- former for scalable end-to-end autonomous driving,

Reference 94

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.761421Z digest=sha256:0d1042cf9bf970faa15ff414284073dbbc1be46e39eb2de88fa8da6a5e919604

Observation 9b01e4ff-a44e-4910-b768-e59a5b19328c · outbound

This paper cites Transdiffuser: End-to-end trajectory generation with decorrelated multi-modal representation for autonomous driving,.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Transdiffuser: End-to-end trajectory generation with decorrelated multi-modal representation for autonomous driving,

Reference 95

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.766152Z digest=sha256:a7c2eb69c12e59bde9bc49f015ad2b5c3d5d089cffe78adf056becf9ccd2ada0

Observation e9cf8e90-66dd-4d46-b77c-ac73794202c0 · outbound

This paper cites CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving

Reference 96

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.770923Z digest=sha256:e0b68d9ed683fdae6e1865999ad6c9f277cf298d8550c84884537a646321ac27

Observation cbdb0f18-27ab-4a17-b528-c2fbcf67f858 · outbound

This paper cites Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning

Reference 97

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.775841Z digest=sha256:4a48854bdfc7c6b898a003af7cccc8e0113ed7644fe98c46072e890ad8556d49

Observation ec704b60-cc43-4062-8e63-9904645018cd · outbound

This paper cites LoRA Learns Less and Forgets Less.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving LoRA Learns Less and Forgets Less

Reference 98

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.781646Z digest=sha256:30cc3d89ff9754f6ee31b5020bdf9ff5f72543de61ed053c122efcc8fa8c15fa

Observation 927d10aa-87f8-4206-837f-2cd90c5f3b23 · outbound

This paper cites MTGS: Multi-Traversal Gaussian Splatting.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving MTGS: Multi-Traversal Gaussian Splatting

Reference 99

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no resolver link, observed 2026-08-07T04:46:48.786784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.786784Z digest=sha256:50ff549093fda26728fa9f82bd35b3ee66631285cd0f243de780e3250ff400d4

Observation e7dc553b-5624-4c38-8204-d3a635b0c55d · outbound

This paper cites Decoupled Diffusion Sparks Adaptive Scene Generation.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Decoupled Diffusion Sparks Adaptive Scene Generation

Reference 100

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.792316Z digest=sha256:883460038f914dc70ee6bdd6414e13964dff25ce1a9dcd4aedd021c2a2b65d55

Pith citing papers

Observation 2f379e02-71dc-4ce4-9c32-a887ceba0061 · inbound

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

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:36:24.463250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T07:36:24.319361Z digest=sha256:daf5dda59a468823c84372d12845393a67c05df94ac7cee18d29ba8b8b9a4ce8

Observation 5e0754f1-a9aa-42fb-8be5-ef46bebfbba6 · inbound

SimScale: Learning to Drive via Real-World Simulation at Scale cites this paper.

SimScale: Learning to Drive via Real-World Simulation at Scale Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:34:01.939330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T04:33:03.629533Z digest=sha256:49c3a298b18114d22f1fd7f1a6f39c6930b341d32e8bdf9d4c4e8aa933a9b615

Observation 3864b386-de4b-4d4d-bd36-820a8422e8d7 · inbound

Optimization-Guided Diffusion for Interactive Scene Generation cites this paper.

Optimization-Guided Diffusion for Interactive Scene Generation Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:38:45.395647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T00:34:18.729275Z digest=sha256:82fef2dbd539877da59fbc367fdb68b303ab882d86b3f290e8fe236f16b006b1

Observation b1c2515e-cff6-4321-84c8-b7498283d681 · inbound

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

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:21:31.376772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T12:17:54.325055Z digest=sha256:d68582edcb21682a1438976f271665656195a1b4adaaacd8d072e4862192fea9

Observation 715ce301-17c0-4216-aae2-1603d67cd4c6 · inbound

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

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 42

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unresolved
no resolver link, observed 2026-08-03T17:07:43.962043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:07:43.962043Z digest=sha256:22fd79bc94f17d680989ece84069841c088b97b2cc0570b43d2e737ba81309ad

Observation c77a2e83-77b1-4e67-beb8-d14eccbe9706 · inbound

MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning cites this paper.

MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 33

Resolution
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no resolver link, observed 2026-08-03T16:27:25.437416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:27:25.437416Z digest=sha256:9330eb02c1b9f039ba03e1033077e0ef36ca04d6942918a5a703618d3f33e7ee

Observation 5d622c5d-41a2-4f31-8457-1aafbf979444 · inbound

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles cites this paper.

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:40:54.011733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:55:30.816224Z digest=sha256:2e80bb0caf3cac3f6447e031a553b711be3ae6834071d48c122083ddf22e030b

Observation ac48b991-b899-43d0-a6e8-55ff5e622b0b · inbound

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework cites this paper.

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:50:21.101934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T11:40:26.649975Z digest=sha256:a2c85f7bd882fc8fcfb96687a6459cf974b5a0df80b6b8850f882bb71540e666

Observation e24092fe-71de-40b1-8d49-444e762d7687 · inbound

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving cites this paper.

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:45:01.017484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T04:41:07.402168Z digest=sha256:cd509b4aa39e9ccfdec87f690a3937b015b369d55656eef53c592778ae3b2c06

Observation df4bd030-5002-4359-85fa-c31605f4e1b7 · inbound

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving cites this paper.

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:49:49.993361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T07:48:52.168457Z digest=sha256:685dd066b2d280c4435c36527286d4057a0a463857a6d6ae194ed0dc56aa1cd3