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Paper Citation Record · LEDGER

RealDrive: Retrieval-Augmented Driving with Diffusion Models

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:9671ff997851600f84c74f10a3e4041b3748fd6ba34d6419dc59296d12809eaf

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=sha256:494ca5b42ffae159711fe2f690f8cf05b9f81d036ed61bb406ca5d44939ec724

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=sha256:3b93d509d30976c666b2004c186f7f37411db55b332867782486760245db50b4

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=sha256:6e1d4cd5142a4dd9f8e93a9e26edfef32cb658b4363334cac410c2b4b0097d1c

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

source=pdf_text observed=2026-08-07T12:18:50.574986Z digest=sha256:f8133862f0e7b261186737f228e6e89eb0ec35fb3c20c93a9995f2600e00d307

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=sha256:9bc34b267f42bccee8ccdf748d66d5a177447210f146a38a518f7c3af3b4c614

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=sha256:492b0ca6d73084ffe7104c8db849d950988e624fdfdcb7ba698312630e533316

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=sha256:921b86b09ce4792604130650ef80d96e682a613a0ad84c0192ccb9e74da3bb27

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:a1b1fdd888a9e3038bffbfa6c99ab5e55a7451026af33fb9adf33b8148c28482

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=sha256:3417624db197ec5c60b0c29bfd521b3bb03e45cd81912e0e74bc3432d73b45da

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=sha256:4c17a1c5e0f72f515010877005f9f793b9544cabd692cbdc7d2951cf6e37a1ee

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

source=pdf_text observed=2026-08-07T12:18:51.191608Z digest=sha256:2f35af68f221cbb8ebde668925fe33c069bf6f7401b5e0652764355dff0dc1fc

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

source=pdf_text observed=2026-08-07T12:18:51.301952Z digest=sha256:6e08758dc216c9e3012fa12eabe54de7b5f6d6f537e573a5062185d96ecc691f

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=sha256:0e98938fa46d11edbfd149cd877fd9564e86b757a9e4f38ef4a2c4788941dd82

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=sha256:4801b3e573e2d7f3f404f71211604384a40269205b330d57d34229ce5eb8d31a

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=sha256:02322f6bbda7b8e1a486cda551e2a094b6bc2b1547e5802797b10ab1c08f3d48

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:ed4989146efe3b0e2d1e4867e922d899320baab3b3d0a0297f9d0cf329478932

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=sha256:1dab7c0eb6ea491bd09e05fcd5fba9cc1f882bc1241bb9dd1ad9b76ffde02c93

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:b5e7a4aae9b16b6677cfb29cbc44697f063aae3f27dc9526cd505b8a173b824b

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=sha256:92ee4c43c3983fe7098ec22d33b9536b91aa3abbcbc814e35449facba83adf8f

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=sha256:96820e9a6bc40d6bc47746c3cfc94958442eac876dd5e86d7dca3b75df2b5e0c

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=sha256:5e3dc455e41febfbdbf0f0be2f019a298a00234e5918f13dc48e20e08d96e8b7

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

source=pdf_text observed=2026-08-07T12:18:52.090813Z digest=sha256:7d00c019da5430d632ca8cbf9ceafe331f161930b5100365d68cfc5508bb1380

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

source=pdf_text observed=2026-08-07T12:18:52.160597Z digest=sha256:92e759d666c0fd1f9c4c72f6817a12b2b63c48f3cdeabd49574ab629069233cd

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=sha256:2e7b605fa287ef405a1d8e0b9fa9952b5675383b324ea57bced77c4a1ac2df67

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:52.344959Z digest=sha256:dfc4bfdbe6af74a927e07249f0b52c38297b01ce1683b84584d513bf22c28995

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

source=pdf_text observed=2026-08-07T12:18:52.419081Z digest=sha256:14e30247feebab7965daeaa195ecbe10efcb1256289bb015a8d0227ad8dd353e

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

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

source=pdf_text observed=2026-08-07T12:18:52.491106Z digest=sha256:da7c9cfc3270092550d24159ef1dea757ca14a556fd5f0895e52be304d0720a6

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:52.619710Z digest=sha256:32b8b61a344b2a73316846514507df46e8b16b1b0411d3644b94b11afc2fc80a

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:b88f8bdb4873b2a5b953f2af136afd4e62720f3930db4be166e717bdd4a1c5eb

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=sha256:942c2f63f92bb0dc2046a29fdff763dd4ae860cf6fe17fcf746eb7b57ecb2c3b

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

source=pdf_text observed=2026-08-07T12:18:52.864087Z digest=sha256:0fc6ccbe883046f9d0df5fea1482961fdef77c61fc5d30bedefe4b84c0376c7c

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=sha256:90e1da44165466d0516d68ee6e0e451927347eb2ef8f0ad5794039af1cb7a882

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=sha256:850e82fc5dfb19a429a6049cea44c7ec61a9f08728e085ad627ddbf9f30d1411

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=sha256:7a633006b4854e9718edc64db59fae64c5da8d9afc4ff9c70a3496e3aaea17c5

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

source=pdf_text observed=2026-08-07T12:18:53.160800Z digest=sha256:9509cd56fc9be561d70a439a7b3ed22bc9c2e9b549506155aa335c3a448c9101

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

source=pdf_text observed=2026-08-07T12:18:53.264804Z digest=sha256:9ea1680a6793eb4c8d7d8e04d06f96ec352380f303608145636e1cb1611cb368

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

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

source=pdf_text observed=2026-08-07T12:18:53.333077Z digest=sha256:fbd9194198d4420c32c6db425c260a19bb9b43f0b0d4f423318ed7c7a5f6d62a

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

source=pdf_text observed=2026-08-07T12:18:53.404571Z digest=sha256:6b00e262880e074366e40dcdc40c04961f6433e14112a7dbef6ce576c214657c

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

source=pdf_text observed=2026-08-07T12:18:53.496567Z digest=sha256:9e26eb5b8f3b67f297b379469889b294ae6b32d9284e26210e3072e55888081e

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:ba8b48696fae12035dff925ac2867b208647a4b10bfc4b822b28883ebba5e760

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=sha256:3ee6d2248d13d12900d2b053e40ded69bde777032f64251b713b411e6da3f1ac

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:e59d9836d1ecbf5207c993b05addfc6a87ead238d629a65affe3f4dec3527cde

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=sha256:187b1720d5ce995abab5368d3c353dc7f8dceb725ef44cbf09b642aa2722a5cd

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

source=pdf_text observed=2026-08-07T12:18:54.241882Z digest=sha256:46ad115bc091ade1ccef36846dc841e1d7225770e430125c67a7d58c7a37ce10

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

source=pdf_text observed=2026-08-07T12:18:54.387937Z digest=sha256:a67ceca1ff44e20a68f300ca5087cf8a1f4ff916d12fd6aa967e78df49cdde3b

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=sha256:7ed53b4b0e7ac46f53cf2db5be3cb1f6d7c17c176528d86e14f3ca131ec21cec

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

source=pdf_text observed=2026-08-07T12:18:54.703521Z digest=sha256:1ea803ff896ad84be1af2c1bed78ead563533fa081883275003068620d5f0a56

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=sha256:1b0676b05bbf66c21abbbf213edb711a950db76ae11a3bbbd572ad4667c941cb

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:abe9bf7dec33f83c85108be887ec6df13576773e974920db16a28293f644bc76

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

source=pdf_text observed=2026-08-07T12:18:55.233521Z digest=sha256:22181126e2354b178c7b53f62c5502fd82a11f9dc551943405b51449ffd3b851

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

source=pdf_text observed=2026-08-07T12:18:55.307451Z digest=sha256:842da0c36192897724a5971e0d3e0f0d47a83ee5859cd56be89b11c2387aa032

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

source=pdf_text observed=2026-08-07T12:18:55.402351Z digest=sha256:a4522ec14522f4aa261e21398c20558cd4e470f89b10935b282520a72731aae0

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

source=arxiv_source observed=2026-06-27T09:53:17.080336Z digest=sha256:b5ad4a08f395fe93fc4931a6188c0a242ac3b90d9d0d1209933c62589f17840d

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

source=pdf_text observed=2026-07-01T05:55:12.528104Z digest=sha256:6eca7dfca8bb86cd5fa0aa9f06bfe735e1dd67983e5d7ff31fdb1d58776b02b2