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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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=sha256:1f55cfa76e4b7b408542667ad2cb49103dba1889aa81ac2d66b8ff2381deb451

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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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:cf8d9cc1b83063e9019457c1d670ea5c21e116f6435e13ce5cfaf8ab751d3886

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:d3baad8e1351c9432150e1fabe542ddfd389375c771aa54c948336d3b51e0fc1

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:e3f35d0a12ff41c99a9aebee7ded16c1ebafa18b5682f768147d8c0d6cf2f136

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=sha256:001ae959869a11de3833200ca13f31e8a5b3169abfe25d80e31143e88c2d925f

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=sha256:2f017fd52369cbdc2d4bb9dc17503a26ccb9bf709e8210c3c9dca50a24678f05

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=sha256:129183365ba1c271d7143a5de3502454788b8038ddc0000311639f53b8bdf14a

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=sha256:25b7f014866bd914810433fa70dc0d37feb575bdcdc3cf5e76dbd2f840950184

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=sha256:948d15bb5d243c5d29af7b95ab459efad739d2bf2935c714c786b81eb9eb7eb9

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:c6682c34f2350cefb28bc77c5949bb1c89cf84642455c5ca4ea841dd50366653

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=sha256:6873900609e9552fbb6726332ad9189a9fbf48854304bca48be946a302d33eb4

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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source=pdf_text observed=2026-08-07T04:46:48.396063Z digest=sha256:b5700ebff316d15b58c5bd6151ff891a6e6b1d4f8ffaaed21a40528bb586ad44

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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source=pdf_text observed=2026-08-07T04:46:48.411634Z digest=sha256:21c59d7ca79ed40c6e5c3eea2111cb25eb8c886728b7c938a79b4c66e6de2bae

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:d319b82aea255784936749ae61d7ba94155bf3685fb3ec2bfd38888795f50b67

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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source=pdf_text observed=2026-08-07T04:46:48.425727Z digest=sha256:43996da3b814d68a743c93bb196d19e0d5543388c756dad0d3dae3b7975fb940

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=sha256:3009fb57b996143633d0022e7fe23e5c64b8a2e0751f368e016c35708c98f16b

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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source=pdf_text observed=2026-08-07T04:46:48.436387Z digest=sha256:a9fd49739409d0f9819332b043559f377dc0a931dedd759dc9d80f6a07fac5b0

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=sha256:55e86832a3bd5d1b5cc0eae9cc26caaaac3ea6a369cb67d316a396c22c89ae26

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:46:48.447023Z digest=sha256:c4772ea0e93f2759e23b2531903ce728e8917a9d373c5d22bb9a13dc7153e4ae

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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source=pdf_text observed=2026-08-07T04:46:48.451755Z digest=sha256:8e3364c27b4a1aaa1305a36bf3451dc4878f54ce471186e7821a99789aa12c96

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:a1009fdae579837ae2191daf4e719cf2f45a93ba9e1bdfcfa6e3e0eed69c0724

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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source=pdf_text observed=2026-08-07T04:46:48.465599Z digest=sha256:b18a49b98ede41eb35a0abb78c38a13407dfa8571e3a7ce28f280c84eaf14ebb

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=sha256:4f732e3545bff85037286a77c23ec86cc82c43ca0f34499bb0c3f247a8c9360f

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=sha256:5fd6457820aa8378848bf16fbc7390be0551c17dee993574eae669dda8636a59

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:b2f0537284110d639b9aa5d1a4f2f3d5cae33d8c972df8180ba01bff9c2864d5

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=sha256:926c0a0476289cc8d8a9636c7dcc743b0d3ff7f9668bf1753f0eacbac595690b

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=sha256:59e76ebea7c0bf868efa084df054e2aa4c1794589692397d490334519cc6e381

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=sha256:8aefb32bf9fb01b8baee6db13758f5ccda3f4db3b4c478812335088e918a52f4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.504658Z digest=sha256:dfd1dbb584d4bffc863fbe0dd065ffed86e44f24f76498630581a4064abf0226

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=sha256:27b051f0536ab3e3884551586ecfc1e8c3e2e4439b7d7773d80901e3b472f583

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=sha256:1233ddff4e6bf19201374ddbdc0966df99ef45183bc72f9578a2cf13d347c9a6

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=sha256:17105598c82bd2e74afff8585e22994d1e74c3a2e99c2512599e7f3f302cad85

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=sha256:9f65f8ef838e12138e568ada130b237054e9be7e483a18b9a326808d453272d9

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:f88b3a6b08c0eed6e10d1d532de73c7812142ecd80f205beaa712adf4ef58827

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:b810908ee3185169f81c21e6e06ee89f7a889f8bd75928d41db8e03bdc025eab

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:eb9fbaae952734b7555b06e77cd70cdb76cf38a6d5dec2a61d1b9c7824f90e90

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:f3904a4990df8f6e7df6e6c880f9908b2d143f42028fc9277a4e3fc780c4a920

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:c96f325e585f4b28db49ca897cc9fece682b6aab7afb88d66d14420fbb8b332d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.548535Z digest=sha256:5a192936347a4b4bdcdde059188a534f84ed9ceae57f33ec95ed3b19e6a9d07c

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

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T04:46:48.553003Z digest=sha256:e657bae6b00cc88917d15efcf905946b516cd047727cad98c81ac4f40382c4d3

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.557436Z digest=sha256:5e1903863f7e96b9d92a1dd46e4d25914958865e41e2471b19671b28f05b1e04

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.561611Z digest=sha256:d0b9edf2025bb5153ae90512fd7badbade6c05166c77e7ff3bde4effc7078fee

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=sha256:8fece4ed09686102d0766568655df146921020ab7af7804ab2e3a7f3f01ca36f

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:d71d89c630931e79af62124a0fef9f50bdb2763b1d61771efa1d894739afcf03

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:a5974f81d37e44f80274255e459c4a9b9e383a70f4815c33017651a03f959d5d

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=pdf_text observed=2026-08-07T04:46:48.578203Z digest=sha256:cd59b6e4304db1ba9cf7de81536c35955112172dec697c7630decf2bf5d1968b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.582667Z digest=sha256:0dbd9c7dfd2f6a4be36306c7a72081dc1f3871ca4910675ce513ff5479c386e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.586795Z digest=sha256:32d89b1f63c160e8952a7db6e0cb0210b55d8d77f11facf06241cb15f1f9c66a

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=sha256:35829c70b512ddda707989a04fca27c2969b3e4a453145324fa638b44907bf56

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:ef5657cc6a22492cb2464bb9abc8b5417737d2f8dd6d8764f32206c62a98c75c

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=sha256:95355fa19df31b14d18999b5a3908b7fdcd91f479338aa8480e12dc71ecbe1e4

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.603722Z digest=sha256:eaeb245e403d72a3ac4c862ecfc94f0484ff23fe12bbd0e8ba825cc16dfb0b9f

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:f3884672328b70eca2507a2453bfcd49e47e096b93cb8a83ce6928612c417858

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=sha256:797e0bd98a63aafd88bc420b5522df8e596cbcbdc21544f24abb37c2b0849bf0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.616374Z digest=sha256:d74bc005bf736c46d8affa943fa6faed3086053a72861c71703a353a43a7f674

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.620763Z digest=sha256:fc078a7e8453b2475c628dfd7ead6885745321dea024eafc0c1265a9d8bfa118

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.625177Z digest=sha256:8195df350ebd964fd1dad7c9882307165e6b13824b2e7859caab509073003d74

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=sha256:3208d1362bcaa29fa4d24c016588dc376283ef56f88c047d1bf4f427f34b1567

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=sha256:52aebf04f2f8ff8da3b07ceb6b6e3a75e8f9d4337dfd8a0d3929f33090fea416

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.638594Z digest=sha256:b18f59f315ddf003e2d453be5766d6510eafe77fc556232fc4fb3e8b96935a17

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.642804Z digest=sha256:10d81af0a9f64c0083a46382622a65d4524b79fb54e84f7c447d6153ca8ca444

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.647438Z digest=sha256:ce6ced588c01780b01e712f9115a909c26c307c04e71e31ee32fe768532423e9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.651821Z digest=sha256:97e7ac1b9f596ea508435d48788975cd5940e5fdd5d104c60be9325b2b07fbf4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.659218Z digest=sha256:f79524cfe5a72ecd5a938711f2f5cad79308ea8d8d42134925dfb75fb8547f86

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=sha256:525bf6ae241ceab3b8fe9b41cc2cded32fb8757ab9e5f8dc0cf005ca87332637

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=sha256:040024d58402e5fb41613892f069c6279719fb19a1ebb2f7994729c9390651a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.674698Z digest=sha256:f54badfde8b0e6baec88f3eafeacdcbae8ee908c2c07328d4e2d94392fba4407

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.679365Z digest=sha256:f198de37c566504c86bfaac5d07cb6bcfadf8e1191cfb6ceeb17480ca3b4e8fd

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=sha256:2b592bdd9ab5dfde93cddad394a2602968ab11ecd45ce36a1ed58b5accfd8f9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.688375Z digest=sha256:125da8e769f2381e81f8e86afbaed26a536c86c6efa18ea6bb70e1b42eb7b695

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.692667Z digest=sha256:c970d203f2d60702943cd376de24f89aeaea37828f9f0a7d20dec8f941cc932a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.697099Z digest=sha256:676b0d114d96868b99b159269cca49d6d84953c6e6b04d488a90e6a4a0b18534

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=sha256:6130300910f4ffe9276ca32bfce47dd17d36485308c291b846af8088c8fc5bcc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.707753Z digest=sha256:4c6752009325e34801c8b22a2078b983e0f48bca29b3f0498503ed791ff6a4d2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.712409Z digest=sha256:0a34219653b96101cb1a41b237fcb86f97dcf5fb401ffb2cce810b3fe25c0fc8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.716997Z digest=sha256:580fe6059f425d6ebc0790478420c5ef67c60396575e84a26b3ee4954562bc4e

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

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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:a98e1f9965c249f96689b2380d865eb71e988decb3534f53d873c80eacf6812b

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:a79b9d9e11e5ab66e25b9d3e5cb4521c580ac62a2f6be04cf35990348d344afd

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.730479Z digest=sha256:32849d69dc9b26cf2e8135f49abfbd282130011c1d9c0ff693fa6b5e9eedb17b

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=sha256:0bed17fb8667ac6363ce76d8122ba809473644e0257aa735c4822dad0fb1efc3

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

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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:cd58432f1273e0a9045c659cdeaa2e09f2c829ab6ddf59df625a6e2ec510734f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:46:48.745415Z digest=sha256:6f6b782a881c6f52f0fb08c19702480e27b044c65a51d6fd7376ee25d1680bf8

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=sha256:137c8921a847f7ce827114d8b6a859048eae86247e4b7e8d24ccad1b89626c3c

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:b4f1f50d55037506fa827f86da3dabac720ceb0901f7c0cb39a418b2e3c50726

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=sha256:2af442c648fe4bd64ba62b8a2edc90fc501f8f7563323dc480095cee08ecf519

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=sha256:9f25eb2b9cb816395019fbef7dffe82105f8d09a9c3bc77e0c5650f1975bc8ac

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

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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:bc1060e6e889f6572706d597766d1c64e9ab4d3e250ff7e3692de2f193671b47

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=sha256:2c1170200b34b28497a5da30ddf82e1b909d6e941c49911e5cda2f4ac24f7d23

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=sha256:972a914767da9ad1f2ff031fc408259149eaf155d27145fdce6b9efd7ab0e2e0

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=sha256:1b7043c17c83d75c44a2759ee2dc6e832842e8777b886aba56f47544bd2bddf3

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

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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=sha256:50c0c94e39f6c0b960151da08239baf0b88ce6cc6c57e2c9318748464780d2d9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T07:36:24.319361Z digest=sha256:d9594d1ff9a8b971eb48cce704ab392c1b505bdfdc1177450d97da1a99502eb8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T04:33:03.629533Z digest=sha256:485b71846afe8ca748c263f972b1704c4ec4bbd7a8352dbf589a40108837230c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T00:34:18.729275Z digest=sha256:8e04e16d8e4004a406a527cd8b464627b5de09e92b88ec7ff74762840d9f35c2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T12:17:54.325055Z digest=sha256:bfed9da28d1ff12c29c293a1d8ee9795b88f2bb855ec300596ee0a0b1a68ec53

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=sha256:6ae37115e0ca91c957a4d8064112f3a2505643c59c8fdaeb1e9a9827c08a959a

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=sha256:0ca926716dfc622cd6f6043b06919de454b7a362427ed7ed2010f7a56a9568a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:55:30.816224Z digest=sha256:34be31a7ac96e3712b4956c5e68d100d55c50812ffd578763aa3f430e5a81bb8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T11:40:26.649975Z digest=sha256:f77f3ea09c33531985ee67009f23d434e623566d844e4398ba093a7c0d079834

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T04:41:07.402168Z digest=sha256:b0af8dbb88d311a405c9fdf3abf762a88a19057ff41a76749916c391b329a427

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T07:48:52.168457Z digest=sha256:31709f7432dba06e6b791dcf49784150dabbba5f593436df1b0fc2237c1aaa5d