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Paper Citation Record · LEDGER

RealDrive: Retrieval-Augmented Driving with Diffusion Models

As of 17 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2505.24808.

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

pith.paper-citation-record.v1
2505.24808 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:55.402351Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:55:12.528104Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:57.104210Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact4
  • verified fuzzy15
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ce9d1fc-cb5c-47f2-abde-00c719c03672 · outbound

This paper cites PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving.

RealDrive: Retrieval-Augmented Driving with Diffusion Models PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving

Reference 1

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source=pdf_text observed=2026-08-07T12:18:50.069232Z digest=sha256:8a124643b66a5cbca6805c8b4f80a6dddcbcc4df3df3ff0f112346f2e7575e49

Observation 5648f0ad-8ffc-4ac1-98a9-3021c6745f7f · outbound

This paper cites Diffusion-Based Planning for Autonomous Driving with Flexible Guidance.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

Reference 2

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source=pdf_text observed=2026-08-07T12:18:50.151844Z digest=sha256:365ac16d16d36f5f715f2a559b1d1a1ff5806b546dbbd8bdc9e32a91594a0a49

Observation ccc6b8f7-0e46-439d-b811-4b70431871a4 · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models Transfuser: Imitation with transformer-based sensor fusion for autonomous driving.IEEE transactions on pattern analysis and machine intelligence, 45(11):12878–12895, 2022

Reference 3

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source=pdf_text observed=2026-08-07T12:18:50.329550Z digest=sha256:11b767098318d38221c977434e60c9653bcf2f5165db0cdd310e865e89c2d948

Observation 3b134c9c-96d7-4715-8584-c6ec17ba8b7e · outbound

This paper cites Planning-oriented autonomous driving.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Planning-oriented autonomous driving

Reference 4

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source=pdf_text observed=2026-08-07T12:18:50.454587Z digest=sha256:be685ddf82a2afbcee71c74876105ac20b7aa6709993c8b2d800c53f062fb219

Observation 72a784d0-2bfb-484f-a0a8-f3ed886d4d3d · outbound

This paper cites A survey on safety-critical driving scenario generation—a methodological perspective.IEEE Transactions on Intelligent Transportation Systems, 24(7):6971–6988, 2023.

RealDrive: Retrieval-Augmented Driving with Diffusion Models A survey on safety-critical driving scenario generation—a methodological perspective.IEEE Transactions on Intelligent Transportation Systems, 24(7):6971–6988, 2023

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:50.574986Z digest=sha256:c27f9bacfa67f9b5686974387e2ac8f0bea1aeee7d16ea927ad255ac5dd04486

Observation 4a84375d-8819-43c4-88ae-c4ff458be549 · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models Lmdrive: Closed-loop end-to-end driving with large language models

Reference 6

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source=pdf_text observed=2026-08-07T12:18:50.673722Z digest=sha256:d0a01db624322313a466fb5008b7157cc35b474391fffd88697135f7effa99d2

Observation b1441394-d1df-4a71-a79f-63addafcf7c8 · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 7

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source=pdf_text observed=2026-08-07T12:18:50.769680Z digest=sha256:2b77cf14dbceff5548ed25aec6228f1ca2ad32a4341e1b41c0c84bf0a2985eab

Observation 7760d7d0-b6bd-47e0-8b87-cbfafcda8d6b · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 8

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source=pdf_text observed=2026-08-07T12:18:50.859499Z digest=sha256:cee4403735ceb69d1e0796f80aac33333e2fcb7b3a0148cdc3f5f83da5636caf

Observation 730ac8ed-b012-435c-9b83-afa4660ad74b · outbound

This paper cites Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model.arXiv preprint arXiv:2402.10828, 2024.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model.arXiv preprint arXiv:2402.10828, 2024

Reference 9

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source=pdf_text observed=2026-08-07T12:18:50.948425Z digest=sha256:76db309cf6f2af4631a39e7b21d2c08ce34d5a8d75da8584eb1b71f764bbcaec

Observation ac561d00-07fd-41df-8a20-806dbed85a3f · outbound

This paper cites Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications

Reference 10

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source=pdf_text observed=2026-08-07T12:18:51.018431Z digest=sha256:9801abbce296c795ea838adc38f2581c635936461ed2216c065b0334ddea82bf

Observation a7bcfb07-91f0-46a5-9c1d-e460f29045b2 · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 11

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source=pdf_text observed=2026-08-07T12:18:51.115377Z digest=sha256:ab3bc374581ee4e06959dee87ad6108f618462853b3dad5d5b9fc47598ba5a1e

Observation 0d570ad0-9d36-447c-a051-2d1f58187f15 · outbound

This paper cites A survey of end-to-end driving: Architectures and training methods.IEEE Transactions on Neural Networks and Learning Systems, 33(4):1364–1384, 2020.

RealDrive: Retrieval-Augmented Driving with Diffusion Models A survey of end-to-end driving: Architectures and training methods.IEEE Transactions on Neural Networks and Learning Systems, 33(4):1364–1384, 2020

Reference 12

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raw_fallback, observed 2026-08-07T12:18:59.342714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:51.191608Z digest=sha256:8bad550cb9ca0619c5fa232cb4f6dbe9228efad337dacfbc60a9cbb098fe0bcf

Observation 1e58ac91-c111-4c3e-91b8-da648be6e42d · outbound

This paper cites A rule-based behaviour planner for autonomous driving.

RealDrive: Retrieval-Augmented Driving with Diffusion Models A rule-based behaviour planner for autonomous driving

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:51.301952Z digest=sha256:c32fe268867dcf9f4bfc92469c1d4fe992a42e3e014d9585c7969c17755100b4

Observation 6167d806-59b1-46f9-9ce6-043b7c7c9c43 · outbound

This paper cites End to End Learning for Self-Driving Cars.

RealDrive: Retrieval-Augmented Driving with Diffusion Models End to End Learning for Self-Driving Cars

Reference 14

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source=pdf_text observed=2026-08-07T12:18:51.365096Z digest=sha256:2b8c5f2695c05e2220856030517b2e5813d4704e9c46db136d6be61dfaf47d80

Observation 5f7744c1-d8cd-485f-8c81-864f8f426888 · outbound

This paper cites ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst.

RealDrive: Retrieval-Augmented Driving with Diffusion Models ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

Reference 15

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source=pdf_text observed=2026-08-07T12:18:51.425468Z digest=sha256:27e3c817931829935529278c06f13eaffac4c2ae4b20926fa9894249f4d30a54

Observation 89c861d1-061a-42e0-bf55-10027dc2cc50 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 16

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source=pdf_text observed=2026-08-07T12:18:51.517787Z digest=sha256:bc0f7d89ec38aa431ca554302b3a43aafc342a24f3257ec8c7507c2df496d41c

Observation 87f714e5-011d-4570-a14f-ac81dfbdcc5c · outbound

This paper cites Carla: An open urban driving simulator.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Carla: An open urban driving simulator

Reference 17

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source=pdf_text observed=2026-08-07T12:18:51.591682Z digest=sha256:b9d4ba876da9dca4419526df6b8e57d4020e28a1246b6bf6c38aaad49e7e5466

Observation b0ce36dc-9e4c-4b8b-8d31-6a142418a41e · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models nuscenes: A multimodal dataset for autonomous driving

Reference 18

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source=pdf_text observed=2026-08-07T12:18:51.653124Z digest=sha256:ad48ecb0521a0f9cb31e2a0d9fbe1539c3ef7f9202e4afc55b797074107fa347

Observation fa617806-ace6-492a-a64d-d04aedef98b2 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Vad: Vectorized scene representation for efficient autonomous driving

Reference 19

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source=pdf_text observed=2026-08-07T12:18:51.736920Z digest=sha256:794b1bd2ebed79a6fd3cd7985b96958e34487286ba63369a93ff40d8d3fb0f09

Observation 964ced84-9305-4e98-a6e5-59d1fbeb9da8 · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

Reference 20

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source=pdf_text observed=2026-08-07T12:18:51.836459Z digest=sha256:994f2ac66dc489a3f87be90427e1e748ff888409751359d2a53671d57850aba5

Observation 35c9f09b-090d-495d-928f-941908ef3709 · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models Para-drive: Par- allelized architecture for real-time autonomous driving

Reference 21

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source=pdf_text observed=2026-08-07T12:18:51.928515Z digest=sha256:925bdb23118ea6e0d02e7ab90b98f01c8d3d0be458d7fe5341dfabafdf11dbc1

Observation 3f85f6e2-d021-42e5-86e3-5f234a1bfa6d · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

RealDrive: Retrieval-Augmented Driving with Diffusion Models High- resolution image synthesis with latent diffusion models

Reference 22

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source=pdf_text observed=2026-08-07T12:18:51.991410Z digest=sha256:04a1f20c2062775e49bd2425c10378e440af9e7d2da584d38d79560627bf90d6

Observation fe02d4a2-3acb-4cf2-affe-deba7ee68102 · outbound

This paper cites Motiondiffuser: Controllable multi-agent motion prediction using diffusion.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Motiondiffuser: Controllable multi-agent motion prediction using diffusion

Reference 23

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raw_fallback, observed 2026-08-07T12:18:58.952323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:52.090813Z digest=sha256:7c01962d32b9ac71df2ca986c44c883877778bd34351a53ccb1f39e438f239ba

Observation 68951861-f283-4d41-adf1-0a68e89ab69a · outbound

This paper cites Guided conditional diffusion for controllable traffic simulation.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Guided conditional diffusion for controllable traffic simulation

Reference 24

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raw_fallback, observed 2026-08-07T12:18:58.763164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:52.160597Z digest=sha256:7e673bafacac8458063ce3474de84a3eb7ff7827656f172867f59dc440f20122

Observation f3b801c7-260b-4288-bcf8-89a7485fb8b5 · outbound

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

RealDrive: Retrieval-Augmented Driving with Diffusion Models DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving

Reference 25

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source=pdf_text observed=2026-08-07T12:18:52.255604Z digest=sha256:3bd419b54a5266e51b1eaf686fa6681f986081ad3613ad22e84d44910723cc0a

Observation e9b2dfee-a02e-413e-950e-16130fb77d05 · outbound

This paper cites Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following

Reference 26

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source=pdf_text observed=2026-08-07T12:18:52.344959Z digest=sha256:b41414a3c24ec7493a4f03c9149fb45c9a4ce3b732666948c26f5a047a82ec95

Observation bd1ce1dc-615c-4010-abff-119549ab2736 · outbound

This paper cites Retrieval-augmented reinforcement learning.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Retrieval-augmented reinforcement learning

Reference 27

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raw_fallback, observed 2026-08-07T12:18:58.547324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:52.419081Z digest=sha256:dd0d2da313ff8dbd3004ced7b210e59fcacdb9953182d9969a0754a87c5210c2

Observation 9d8368c0-97a9-4db3-a719-b09ead95ec3e · outbound

This paper cites Molecule generation with fragment retrieval augmentation.Advances in Neural Information Processing Systems, 37:132463–132490, 2024.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Molecule generation with fragment retrieval augmentation.Advances in Neural Information Processing Systems, 37:132463–132490, 2024

Reference 28

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raw_fallback, observed 2026-08-07T12:18:58.413252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:52.491106Z digest=sha256:3499bf2860473d39df6a8d352f3b4ae86c127dcc823ad9c60a0fb94802785da2

Observation 5f3f3b49-ba7f-46cb-ae8a-473f79e0fda0 · outbound

This paper cites Retrieval augmented dif- fusion model for structure-informed antibody design and optimization.arXiv preprint arXiv:2410.15040, 2024.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Retrieval augmented dif- fusion model for structure-informed antibody design and optimization.arXiv preprint arXiv:2410.15040, 2024

Reference 29

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:18:52.619710Z digest=sha256:649be48ca4d4d98ce546e79da4407eeb27a69f8b8ebf4c9e625ceb4ff350fbf4

Observation 5f33274c-0cf9-49b9-b11e-3de02332cb05 · outbound

This paper cites RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation.

RealDrive: Retrieval-Augmented Driving with Diffusion Models RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation

Reference 30

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source=pdf_text observed=2026-08-07T12:18:52.746545Z digest=sha256:fc6dafb3834b83c394f101e2808a871a5b43c8db9e14db105ff23c6776338786

Observation 9c2bba24-244e-49fa-965d-4ed4c789da99 · outbound

This paper cites STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning.

RealDrive: Retrieval-Augmented Driving with Diffusion Models STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning

Reference 31

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source=pdf_text observed=2026-08-07T12:18:52.809886Z digest=sha256:2720cd5aaea0685f2782ee461d92bb8d6eb81a0ad76bdca9914484c7c286a16f

Observation f61d1612-3092-4e92-85ae-5a45708a1e7e · outbound

This paper cites SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks.

RealDrive: Retrieval-Augmented Driving with Diffusion Models SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks

Reference 32

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local_arxiv, observed 2026-08-07T12:18:56.413752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:52.864087Z digest=sha256:30e6549e2a6fc3e0bba0da9748ca9af003675de7d8570a4ac91d212a42af6057

Observation 213351e4-3f3f-4331-9ae8-ab1ad972aa3c · outbound

This paper cites Rac3: Retrieval-augmented corner case comprehension for autonomous driving with vision-language models.arXiv preprint arXiv:2412.11050, 2024.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Rac3: Retrieval-augmented corner case comprehension for autonomous driving with vision-language models.arXiv preprint arXiv:2412.11050, 2024

Reference 33

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source=pdf_text observed=2026-08-07T12:18:52.958455Z digest=sha256:cf0098b2a8814cc89e2d29f0ff832cd70fd67ef54c4a24b90870a9de68988cc4

Observation f7d76320-2f03-4c70-8fc6-44aa39599231 · outbound

This paper cites Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval- augmented reasoning via llm.arXiv preprint arXiv:2410.04759, 2024.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval- augmented reasoning via llm.arXiv preprint arXiv:2410.04759, 2024

Reference 34

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source=pdf_text observed=2026-08-07T12:18:53.017859Z digest=sha256:89bd2dbd7a4fac3782e71cd871e59600869270ac6aba47533dfb795de41bf649

Observation 84a31224-8397-4c51-b987-756b1983f46a · outbound

This paper cites RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning.

RealDrive: Retrieval-Augmented Driving with Diffusion Models RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning

Reference 35

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no resolver link, observed 2026-08-07T12:18:53.079168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:53.079168Z digest=sha256:85c75673f7c3ebe85429449ae1fe93620a88b0d4ca015122c16643436b2da0e0

Observation e4a93944-5c0c-4e23-a894-1d2d2502c76c · outbound

This paper cites Springer, 2015.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Springer, 2015

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T12:18:58.223070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:53.160800Z digest=sha256:cbc9f7aaee0d71836a7c310cf14f33b3cab4446f13f46afcc1937947a8171818

Observation d7996fd3-28c6-4a7b-8795-16a2661a6d96 · outbound

This paper cites Realgen: Retrieval augmented generation for controllable traffic scenarios.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Realgen: Retrieval augmented generation for controllable traffic scenarios

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:58.026022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:53.264804Z digest=sha256:f03042aa5cabf705f2b8d6125c4639e594900ef68754b0acb9956523ffa1a8fc

Observation 4e13b206-51bc-4482-8c33-a4eff39b83b3 · outbound

This paper cites Retrieval- augmented diffusion models.Advances in Neural Information Processing Systems, 35:15309– 15324, 2022.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Retrieval- augmented diffusion models.Advances in Neural Information Processing Systems, 35:15309– 15324, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:57.826048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:53.333077Z digest=sha256:e257fe79307dd3fb000ef01f90a0ca5e4fd590a18cbfe48bee4162b945634323

Observation 46be26c0-4f45-40ca-bc8c-312a2d5827ab · outbound

This paper cites RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models.

RealDrive: Retrieval-Augmented Driving with Diffusion Models RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:18:56.117635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:53.404571Z digest=sha256:3f5a4a903920bae7b1fef971ea8fe9aa297dfc89af4cfef3aaa38dcd3bb3a812

Observation 233bcefa-75a8-48e1-99e7-b067fb0bab93 · outbound

This paper cites Ragdiffusion: Faithful cloth generation via external knowledge assimilation.arXiv preprint arXiv:2411.19528, 2024.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Ragdiffusion: Faithful cloth generation via external knowledge assimilation.arXiv preprint arXiv:2411.19528, 2024

Reference 40

Resolution
verified exact
raw_fallback, observed 2026-08-07T12:18:55.928170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:53.496567Z digest=sha256:aa249d1c7b119cb4c2f19634133dfcece8242b0330dd20c27e195247c9bcb116

Observation a4d7128d-275b-4c4c-ab84-bdd5413f3a5e · outbound

This paper cites Remodiffuse: Retrieval-augmented motion diffusion model.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Remodiffuse: Retrieval-augmented motion diffusion model

Reference 41

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no resolver link, observed 2026-08-07T12:18:53.599421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:53.599421Z digest=sha256:ad8b2040e264f4fae17962949c2d296e19784f308304876785db8d9a8540f484

Observation 76261fc7-3f81-4752-b327-2d6516822148 · outbound

This paper cites Retrieval-augmented diffusion models for time series forecasting.Advances in Neural Information Processing Systems, 37:2766–2786, 2024.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Retrieval-augmented diffusion models for time series forecasting.Advances in Neural Information Processing Systems, 37:2766–2786, 2024

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:53.743053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:53.743053Z digest=sha256:cdc4a237ae1cd26d61da153ee4d45689594891c2635eb3d8b856fbb56c0329cc

Observation 8c20a158-d321-4e8f-9375-6edc3b4fcfaf · outbound

This paper cites R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction.

RealDrive: Retrieval-Augmented Driving with Diffusion Models R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:53.885693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:53.885693Z digest=sha256:8ca5c8258cf9387c2f14c39597ab1d76470f9b1c2fded049ed6f1d973e92c096

Observation 26bdab74-7968-49cb-9188-027bfebab733 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

RealDrive: Retrieval-Augmented Driving with Diffusion Models SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:54.084272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:54.084272Z digest=sha256:b634f5d95ee0247c09f20f5f4a09a8e70f4d3b9fa31f7a011fc31af58c91ebbc

Observation f020fe89-0291-40ae-aebf-3214c84fc74b · outbound

This paper cites Read: Retrieval-enhanced asymmetric diffusion for motion planning.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Read: Retrieval-enhanced asymmetric diffusion for motion planning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:57.641036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:54.241882Z digest=sha256:419fd615fb050465d31deed95469adcc85d33a10bd5a8bb0bf67d7544ff3f442

Observation 02730977-ded7-45ae-8715-3d56a6f2b705 · outbound

This paper cites Ragdp: Retrieve-augmented generative diffusion policy.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Ragdp: Retrieve-augmented generative diffusion policy

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:57.457352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:54.387937Z digest=sha256:c1d9f7ff4d19cdbbdd4b66e14378c584302aed94c30689d5f24cea82db39dce5

Observation 0a7407ae-609a-4879-8e84-a2ae537b66e3 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Diffusion policy: Visuomotor policy learning via action diffusion

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:54.555642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:54.555642Z digest=sha256:76d151db86159e91394889b8b7c6d93be8173fbba22de55f9b3a55f043ff63c8

Observation 417937c7-f55e-4d49-b270-15f2cce5cad2 · outbound

This paper cites Scalable diffusion models with transformers.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Scalable diffusion models with transformers

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:57.291249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:54.703521Z digest=sha256:3679ef94e7d3b0bd0c13d20a2ec516bf7e2d86b7e73761a93a8f4cceca9e31ec

Observation 580d16b2-5250-487a-ac0c-316ca7b4e830 · outbound

This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Is Conditional Generative Modeling all you need for Decision-Making?

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:54.922455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:54.922455Z digest=sha256:20ff3e373ba383cc228be22e1572e64fe9d76671dfd2918a22cce3f815cf6de8

Observation 622ba1a9-1392-4c45-8ed1-20817c34adcc · outbound

This paper cites Billion-scale similarity search with GPUs.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Billion-scale similarity search with GPUs

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:55.139686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:55.139686Z digest=sha256:bcb02b5ab073a811d9367e2aacbaa49c45a3b37f936f7cd748e8e2edb7ab3230

Observation fd885715-3f06-40bb-83e5-2f7072f2959a · outbound

This paper cites RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance.

RealDrive: Retrieval-Augmented Driving with Diffusion Models RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:18:55.604834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:55.233521Z digest=sha256:022df41450fc8bc57a6c2b17e6688e43f02a4f5169e00515ea3170927b2d085a

Observation 1699fba5-37d5-4db2-ac1a-691f1a33096f · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:57.083590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:55.307451Z digest=sha256:cd5055a79063306c48b00727a6d6c8d0d717306c873fbd03ed69539a548c5592

Observation f46f65d5-31b0-4270-9349-32f5966b96ce · outbound

This paper cites Predictive risk estimation for intelligent adas functions.

RealDrive: Retrieval-Augmented Driving with Diffusion Models Predictive risk estimation for intelligent adas functions

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:56.831011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:18:55.402351Z digest=sha256:b0e2da4441ee483140b399ee9652405d76bed8ec377c24abb8e67c09da349069

Pith citing papers

Observation 3a6cabc8-b0fa-443c-aa68-d3a0b65cfd45 · inbound

PersonaDrive: Human-Style Retrieval-Augmented VLA Agents for Closed-Loop Driving Simulation cites this paper.

PersonaDrive: Human-Style Retrieval-Augmented VLA Agents for Closed-Loop Driving Simulation RealDrive: Retrieval-Augmented Driving with Diffusion Models

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:57.105887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T09:53:17.080336Z digest=sha256:e860c54be1700a37aba0d674ba64c06cee1053af0cee8f462122247c2f6b9d7d

Observation e2953887-f877-433c-8289-ef72a7ea9ec4 · inbound

Long-term Traffic Simulation via Structured Autoregressive Modeling cites this paper.

Long-term Traffic Simulation via Structured Autoregressive Modeling RealDrive: Retrieval-Augmented Driving with Diffusion Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:05:40.755721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-01T05:55:12.528104Z digest=sha256:e24e402aa0e500028938e95a6d93400a71654a9f8e989e82d37d2457411251d4