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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.320227Z digest=sha256:20d1ebc9616fae80f83babb248040c6139ffc8e88eab41cd9eb223bf14c74e97

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:ac837b2f3201e7481b049ccbc23daa7a53fbafebde418377416181be6783ec5e

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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source=pdf_text observed=2026-08-07T04:46:48.331150Z digest=sha256:44a6c6e25dca42d304fbad3f7546a2081cabbe6b67fc3f4bd38ff2d6a8313e13

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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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:fb7f9b3f11f666c21944e0a1eb2284d8f753215131a1e7b3767486ab4470a2af

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:d07a2799471941f62c102c172467471d37f683d6e11cae417a5052e1492f2080

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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source=pdf_text observed=2026-08-07T04:46:48.352341Z digest=sha256:8f80d39cd1c8b30b25ef1df029e6ab7376dfb3bf80ec90d7e29f9b0a70af7d0b

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=sha256:2866564d4e75ada10aa94e7329ac56450467a6447eac47f37bfd74ccf9b6dd73

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=sha256:4e2f84d74153dad2009ed9996806f36a620fbb0d1dec49e0d0cc0f3e84665976

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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source=pdf_text observed=2026-08-07T04:46:48.366995Z digest=sha256:03d402010e822d3adf0d07c9f6ee456b72cad5dcc5800ce3edcb28fcf8912e65

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=sha256:831002cefaec406c485e33156d4a43e0d26b51f7197f14d3bc639e77fde449a8

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=sha256:2c5724c644debd276f22d02eef65a3ec37c522d68c70fe999a388774a245a0c9

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=sha256:908948915e01ab6963f39791760900cbc671ececa7f5927b2393a3b707ee6da4

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=sha256:4f7b7d7220179b68e73e06f9f322e0897778ee9ddaf1d95f03a7c346aeca3b2d

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=sha256:2cc439ab4cfd6c50309cae58cfbb1a0cf4ef4cd0f9ad20611d5ee7cafb08f5b6

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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source=pdf_text observed=2026-08-07T04:46:48.421231Z digest=sha256:66f394f5f87659958867b3a78bc6c4e9c3b2be79b35c2f763969a353c6ba1e00

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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source=pdf_text observed=2026-08-07T04:46:48.425727Z digest=sha256:227b1b3265c43f8f50751ade42a65a2f73582b3ae5766d33de612b932dfd53fa

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:ea84b41116166b87ef6e61290b2cb584182c2bd4c720a9f798637c1f34fe1e27

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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source=pdf_text observed=2026-08-07T04:46:48.441248Z digest=sha256:841d9238d50206ed5455a398595aaa190615b4545d847e710ede55c2ae98f853

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=sha256:3b72bd2de2c5e161e37b6c2fa2a7a10416f904c4b1c0f708f8409484562dd8f7

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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source=pdf_text observed=2026-08-07T04:46:48.470607Z digest=sha256:e82b200ab0a63058ab6471886f31bac77178cbe341c1e5247d7e8e41ec477159

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=sha256:91e557f81e19a454939fff6447d7a67e1f9bb1434603f2d9df3c27b6cf0698d1

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=sha256:14791aece4c5c4877fdaf8fb735a9755bd3d506f26a7291eb69c77ae49b8c14a

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:edd4b8e17c40725f6fc0eabde4f6601d35347b5e5e6433f0954bc0e49ea802af

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=sha256:336619aa4f48ece4cd1f414c1cfb7060120117d60dc2b6af292735f1d427e657

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=sha256:1967c5d6c0d68e0fda1ad1e52a604733850cc8ae9bfc65631307cc3e66ab4547

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.504658Z digest=sha256:045df0bc03722c8aa3ea9ee17c28d34fdcca55ec1636a5e2e0c93151ed085ddb

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:dc6be0a640047e6607e793a279d2a2e4232b9f4c0c25d3a5cc0791899937fc66

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=sha256:437cb53229e2a024a023343f62320fdee6d0c87057fe80479291303bb36796cf

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=sha256:7b5b632c3aa6c3fda3fa0db66712c919c8ed5ba8185a44abc7323ebd64f80faf

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:cd7bd88816c7cd0bd1a5b1a60cfc5467aed7ee57a9965d369cfb2dfc26760032

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:e030de1df7e83c90f9f8a37fdd4b67bbabedda3f1c94ae84924f4b327456b5d6

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=sha256:605a143079dc55593cc27fbb7c03d5933cc11becc0ae959517ab9ef2ca8c5b1f

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=sha256:666748cb6c1f323e5e6e86d54fe3e89b6f50f3c1f171899d873c67fa8a175a50

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=sha256:019237284bab0c9a877afcfa5655e891b218ceca1caf50c484a689552a046691

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=sha256:379fdf19c694766c685446fc6f60de782868fe017e8dc91ec2435a140516982b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.548535Z digest=sha256:386cf5ab06e022bc0644bcb12d69e13d36e674e62dc1d0d140f462755d08407e

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
raw_fallback, observed 2026-08-07T04:46:50.268058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.553003Z digest=sha256:36b0cf47a3fe7497a04d159d31f2d1acd3c6b3aaf1177dba331ef8265eec9438

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.557436Z digest=sha256:c32d22f5a3f9c402447e0b8b53b9936d789c788f86b3f8a9eefdb26cc508b08b

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.561611Z digest=sha256:84e5a86f94aed92967c61fad291e18590f84e2219f1e52addce3b85702b73ca5

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:e546fbabc25f27aa8b7bea16399f8e7151f1e7438a1e114bfa9e8dd86d67661a

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:b9b3c7fd02108881c5d6061c16abb6c2aeb0a689e8d5c927b94bb086bf5b229a

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=sha256:5a22020ac24aec5d589ffb83c77e4356a637ce6a21c03e86aa9c006220502a25

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=sha256:34151108b216ef7caeed27ffdc34c246f6fe194af435583a7c7cbfdebbf975d9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.582667Z digest=sha256:0f5f985c911b213c7dcda1966c03588488d4696cb0914f906e120b41212ba055

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.586795Z digest=sha256:5749fbdffede5823307f155a995161a61e9e334483999d6bc8a85444c6b298fa

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.591130Z digest=sha256:db5337e12f2d83be478df7d9871c27984143627f379cfb2a442453751e23c100

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:f6a25f16d0eaaa5751e958e53f41473e1b00b19ff3fe4350a6cb3fa44299d565

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=sha256:74c9f7d24b9692cbc3f87e992648dc89ed7788d9c1e478549e0094e94205969f

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.603722Z digest=sha256:b774f8bca26c71172a9818b2cb92f15d3f2a56d9d6eabe0687506fd2d0f37834

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=pdf_text observed=2026-08-07T04:46:48.608076Z digest=sha256:f10db4ff3bed95866c724a0a76556ef7d43dd8465dce588fe7f7b0868c9975df

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=sha256:621b2cff8c92f00447c4b1902e33962c658fe7a4e8d78b008572885e0ee44808

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.616374Z digest=sha256:6db81acdf4853959e48807bc5287603f54a2db499cb75658b710eb15b68ea1b1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.620763Z digest=sha256:d6eea5de38d47ecdec081db8ae2f19338ad2331761952ab89c865c7ab827caa2

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
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.625177Z digest=sha256:80da0fc4739d9d9f072ae96a4d544e775d710b14ea7b321d9cf2eee669e74b82

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.629399Z digest=sha256:d21869f95b10af3cdea98ee30e24bd8f1d53c901edcd64b5c21c6c8b84613ec3

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.634228Z digest=sha256:f836a260701f989ee89e00221ac8d66d6ec11b58db6cbfc1a43f332ffa0bf738

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.638594Z digest=sha256:7e35d84610fc53312b664ec012a80581b572f68af07ce94c24df20116d504803

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.642804Z digest=sha256:9ac4da128b97085ebf2a27d09453780e5d4ec3846b7d9c7b8947ea1a936d2842

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.647438Z digest=sha256:d9fdf0f346ec316d36e25d09ba7af565d546d8b151b94d2c7852cc78e24f89be

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.651821Z digest=sha256:47a743fc714473e84aca438c6b3bef465905aa8b1cde3deee473967ee9f95831

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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raw_fallback, observed 2026-08-07T04:46:50.015455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.659218Z digest=sha256:4cabaa80057abab35a68f1cf03e6ffc1387fe19a97d234456587b6cc5214a5c4

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=sha256:1dcb42203887ad5d944fb5681543569099724ba067916052b4c060ed1d136af3

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:bf56f4c47f7cb7ec8afee97f221e690bb19d97c22cc7ca397814721be2d7e5a2

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.674698Z digest=sha256:81280c6dc44c826dc513d23839083b00f45e919359648f0966643de77ff0a97d

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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raw_fallback, observed 2026-08-07T04:46:49.983558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.679365Z digest=sha256:b79ac64bf333a557a8f60b148d011dc5c0f36d1c7ab29cce5236f0111f186385

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:b7683644ee113ccf00ac1ad7f6eb3b4fda53f27764b67f6ae2c9ede91fe15ec6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.688375Z digest=sha256:d713a8cc3290ded78c1c160311188c26a5a06bb0531066fb0e42680a01149de4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.692667Z digest=sha256:280d5ac359fc6085cfc3f671b858b4ab320a12f3c3d4e13bf3bf8fb15ecd8a2d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.697099Z digest=sha256:f8507c52a4770916a60ef4b1e4f39fae12828c5a558f875952e8c6836c168bdb

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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no resolver link, observed 2026-08-07T04:46:48.702376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.702376Z digest=sha256:131987d448b6a009dbe69372ef12dbd90616b195fd9230b91d583033a116159b

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
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.707753Z digest=sha256:10500011fb277b18a1f42cd4bc0d41817376ffbea60e5917ef8c8e536af67dda

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.712409Z digest=sha256:d8033a1e7298af02437c0b1aa102eec03fd179f946256a8a5521cb032c6edc1a

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
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.716997Z digest=sha256:e582c4b519237a8426f65de0e8d070bd93bce0bfc1ba879995d126682eba88c2

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
unresolved
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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=sha256:89c9671fcf2fa5e3072ccfc3b57f66f4427dcad4ef195018051e354df62017aa

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.726024Z digest=sha256:1c1a1146906a9398e793afe7aa540ee92ff8968aedd298a012ec33a6de07d623

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

Resolution
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no resolver link, observed 2026-08-07T04:46:48.730479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.730479Z digest=sha256:0954834561182fbf416996da3b5b7f8177ad8664815670d69a06b2fb8e49f512

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
unresolved
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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=sha256:1b0b76cde2a48f4e2fd0228e6872c4f82a8373e7aa8f4f122d96dbd700b45532

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=sha256:53df422143321709171c23f047602c15857463e3233f9e741f717506c05eee91

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:46:48.745415Z digest=sha256:6e6ebb29de2a1ec301bd3920718c1781021ba482ee6c4ccd759dbbfed80020f0

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.750158Z digest=sha256:5068a537b3cb91e37b7a8d711073224adfaf5cbcc361fcada3c23a16bd9ad314

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.755295Z digest=sha256:3c24006e25f9f7032f4054f5109792bbf1087058e3430c7795a130580d2e9b10

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.761421Z digest=sha256:5e854c3220e644631561f599d3f86b795bc41c1054d13de82a7b8cecee6e1ae7

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.766152Z digest=sha256:00c6b35efa0783015da94e91cd860e0822378f80f05e94eefb2a5e26bfbdf4dd

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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no resolver link, observed 2026-08-07T04:46:48.770923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.770923Z digest=sha256:a0b524ba76c14a8dc7039ea9ff5628b5d8d3b858dc16c7e5b2fe7f1377e9de9d

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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no resolver link, observed 2026-08-07T04:46:48.775841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.775841Z digest=sha256:e5da187f8be9a5a6e75da43be6b8c3b6a012830b67afd0c5cd02deba04508255

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

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.781646Z digest=sha256:a3e933a71695b658261e13c588e575bebb3d407e11eca9242d2df154811fd9b7

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

Resolution
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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:b1f67a780d3f2bfebf9d39c492a272e2a59b1189e9fe874d08cbc3b3bfe3374b

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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no resolver link, observed 2026-08-07T04:46:48.792316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.792316Z digest=sha256:2c7925235fc58254271ed43a261b0cf93ee33a343cbf35ef7bd011c69b56c4f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T07:36:24.319361Z digest=sha256:24be4d439f9e9cfcfa9b2ebfa6162ae1670e5c7934951f8addb6c09b7d085cf3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T04:33:03.629533Z digest=sha256:04accf91df9713890319720af08177c5c9de8e0d019e318d40f6dea092eb15c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T00:34:18.729275Z digest=sha256:0104dd0980e08073970cc0c249a5f65e5d50ee146de5bbb7aa7010fb8ec668ce

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T12:17:54.325055Z digest=sha256:201e388a1c18137f2e2c04416ee6506c11c162ec8ce772242d7473709218fc2b

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

Resolution
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=sha256:66fbc7d10c85780de88c2146d7e15e4dd1efaba457559e16665f3cc1bdbbd882

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
unresolved
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:a2e65dacb902ec205bda6d618c7b778571e1ad07a76b2881e442f611fb02f8bd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:55:30.816224Z digest=sha256:af60adfdcc1c5f618c34d872f355fe0db25c7fb41ae2bbd6b4950f38794ab371

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T11:40:26.649975Z digest=sha256:ee0446f8cc6e2ce862c36fcf859ee0570d6ea8dd29685fb8d883f8f85bc122dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T04:41:07.402168Z digest=sha256:5688f3846cd5aef06da70e45c94a4410cf34413eff5adde7537258399de96301

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T07:48:52.168457Z digest=sha256:7e35a4e42afa1e02f8c99d35132f84c5112240819246e836b5f55c7669abd4c8