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Paper Citation Record · LEDGER

Generative AI for Autonomous Driving: A Review

As of 19 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 2 inbound Pith citation observations for arXiv:2505.15863.

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

pith.paper-citation-record.v1
2505.15863 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:24:06.447635Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:19:25.618718Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 300 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d599b40c-5e00-4134-91da-87bf0d69634e · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Generative AI for Autonomous Driving: A Review The cityscapes dataset for semantic urban scene understanding,

Reference 1

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Observation 00cd4359-b8a1-43f8-b0f9-5eb969fdf24e · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Generative AI for Autonomous Driving: A Review Vision meets robotics: The kitti dataset,

Reference 2

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Observation 8db18f91-434f-4f7e-b298-34db38d9f149 · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

Generative AI for Autonomous Driving: A Review BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 3

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Observation 2a335828-8a18-4f8a-848a-c422745e2d16 · outbound

This paper cites Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation,.

Generative AI for Autonomous Driving: A Review Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation,

Reference 4

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Observation dfa05258-f0cc-464b-b73d-b577d9946cba · outbound

This paper cites Survey on unsupervised domain adaptation for semantic segmentation for visual perception in automated driving,.

Generative AI for Autonomous Driving: A Review Survey on unsupervised domain adaptation for semantic segmentation for visual perception in automated driving,

Reference 5

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Observation b5029230-4d11-492c-936f-f7c2e0847bdb · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Generative AI for Autonomous Driving: A Review GAIA-1: A Generative World Model for Autonomous Driving

Reference 6

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Observation d0fd453d-4a23-4b10-9c6b-72a4e4db83ec · outbound

This paper cites Adding condi- tional control to text-to-image diffusion models,.

Generative AI for Autonomous Driving: A Review Adding condi- tional control to text-to-image diffusion models,

Reference 7

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Observation 60d30a75-96e3-484a-865c-76e97f6a5854 · outbound

This paper cites Semi- Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness.,.

Generative AI for Autonomous Driving: A Review Semi- Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness.,

Reference 8

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Observation 9e9d8968-1afb-4ad5-aabd-1e008661addf · outbound

This paper cites A Survey for Foundation Models in Autonomous Driving.

Generative AI for Autonomous Driving: A Review A Survey for Foundation Models in Autonomous Driving

Reference 9

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Observation d5de5d48-9851-4b3f-b8b8-1ffe4fadd547 · outbound

This paper cites Prospective Role of Foundation Models in Advancing Autonomous Vehicles.

Generative AI for Autonomous Driving: A Review Prospective Role of Foundation Models in Advancing Autonomous Vehicles

Reference 10

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Observation 5ee64177-0c5a-4bb6-9e07-178117506bd6 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

Generative AI for Autonomous Driving: A Review LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 11

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Observation 2bc178a5-ae4c-41cc-bf69-1974c299c3a3 · outbound

This paper cites Large Language Models for Human-like Autonomous Driving: A Survey.

Generative AI for Autonomous Driving: A Review Large Language Models for Human-like Autonomous Driving: A Survey

Reference 12

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Observation d0b3186a-892c-4307-b516-212e8e7b86ee · outbound

This paper cites A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective,.

Generative AI for Autonomous Driving: A Review A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective,

Reference 13

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Observation 40a922b0-823c-429d-ae41-75f1cc112e7b · outbound

This paper cites A Survey of Scenario Generation for Automated Vehicle Testing and Validation,.

Generative AI for Autonomous Driving: A Review A Survey of Scenario Generation for Automated Vehicle Testing and Validation,

Reference 14

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Observation 046ff917-4acb-44ad-b61b-9e4ae4193c14 · outbound

This paper cites A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspective.

Generative AI for Autonomous Driving: A Review A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspective

Reference 15

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Observation d2a5c715-e310-4d5f-aa98-9f36759d81f5 · outbound

This paper cites Distances Between Probability Distributions of Different Dimensions,.

Generative AI for Autonomous Driving: A Review Distances Between Probability Distributions of Different Dimensions,

Reference 16

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Observation 89c09616-fb09-47b1-8cb8-54cf259e19c5 · outbound

This paper cites Normalizing Flows: An Introduction and Review of Current Methods,.

Generative AI for Autonomous Driving: A Review Normalizing Flows: An Introduction and Review of Current Methods,

Reference 17

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Observation 8650624a-3f3e-4105-b046-b116a14c16b1 · outbound

This paper cites Variational Inference with Normalizing Flows,.

Generative AI for Autonomous Driving: A Review Variational Inference with Normalizing Flows,

Reference 18

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Observation 3922f8aa-a6e9-4900-b516-6d6f000ac23a · outbound

This paper cites Deep Generative Modelling: A Comparative Review of V AEs, GANs, Normalizing Flows, Energy-Based and Au- toregressive Models,.

Generative AI for Autonomous Driving: A Review Deep Generative Modelling: A Comparative Review of V AEs, GANs, Normalizing Flows, Energy-Based and Au- toregressive Models,

Reference 19

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Observation 9bdb4bae-f0a1-41fc-9c3f-961a4e5711da · outbound

This paper cites Universal Approximation Property of Invertible Neural Networks,.

Generative AI for Autonomous Driving: A Review Universal Approximation Property of Invertible Neural Networks,

Reference 20

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Observation 57ab3eb0-17ec-4d71-ab87-c894165706c4 · outbound

This paper cites Deep Residual Learn- ing for Image Recognition,.

Generative AI for Autonomous Driving: A Review Deep Residual Learn- ing for Image Recognition,

Reference 21

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Observation 92fd4c95-8a4d-414e-9237-3badacdbc6f7 · outbound

This paper cites Neural Ordinary Differential Equations,.

Generative AI for Autonomous Driving: A Review Neural Ordinary Differential Equations,

Reference 22

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Observation 7f154a04-35aa-4b62-98ed-5c5382114e06 · outbound

This paper cites Flow Matching for Generative Modeling.

Generative AI for Autonomous Driving: A Review Flow Matching for Generative Modeling

Reference 23

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Observation c160e24a-eea8-42c9-8735-52db5e421dd1 · outbound

This paper cites Auto-Encoding Variational Bayes.

Generative AI for Autonomous Driving: A Review Auto-Encoding Variational Bayes

Reference 24

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Observation 4ac2c32c-af86-410e-8e47-847e9dd5a5ca · outbound

This paper cites Genera- tive adversarial networks,.

Generative AI for Autonomous Driving: A Review Genera- tive adversarial networks,

Reference 25

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Observation ed333ba7-c637-4870-933a-843b5296b77e · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks,.

Generative AI for Autonomous Driving: A Review A Style-Based Generator Architecture for Generative Adversarial Networks,

Reference 26

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Observation 0afdcfec-cc48-4699-9c2a-4a9efcab3bb4 · outbound

This paper cites Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions,.

Generative AI for Autonomous Driving: A Review Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions,

Reference 27

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Observation d0ccb1bd-a4ea-4ba5-9251-b96f2dba238d · outbound

This paper cites Deep Unsupervised Learning using Nonequilib- rium Thermodynamics,.

Generative AI for Autonomous Driving: A Review Deep Unsupervised Learning using Nonequilib- rium Thermodynamics,

Reference 28

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Observation 967b617f-5bf7-411a-9811-dc2c526589e9 · outbound

This paper cites Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise,.

Generative AI for Autonomous Driving: A Review Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise,

Reference 29

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Observation 1f646c65-7e14-41c5-9da8-0939833f1a08 · outbound

This paper cites Diffusion Models in Vision: A Survey,.

Generative AI for Autonomous Driving: A Review Diffusion Models in Vision: A Survey,

Reference 30

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Observation 2e11949e-c3aa-4d83-a6a4-095bb353b2b3 · outbound

This paper cites Attention is All you Need,.

Generative AI for Autonomous Driving: A Review Attention is All you Need,

Reference 31

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Observation c6b8ceb5-81b9-41c2-b030-7b491b8842a4 · outbound

This paper cites A tutorial on energy-based learning,.

Generative AI for Autonomous Driving: A Review A tutorial on energy-based learning,

Reference 32

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Observation 3dc40ed1-4b0b-4122-b8bc-5aeb2dfb32c7 · outbound

This paper cites Training products of experts by minimizing contrastive divergence,.

Generative AI for Autonomous Driving: A Review Training products of experts by minimizing contrastive divergence,

Reference 33

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Observation d1d32d65-a24e-401c-a063-2f72351c7c4c · outbound

This paper cites Estimation of non-normalized statistical models by score matching.,.

Generative AI for Autonomous Driving: A Review Estimation of non-normalized statistical models by score matching.,

Reference 34

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Observation 6809f683-2c6c-432f-8cb8-1ea5ac484d58 · outbound

This paper cites MCMC Using Hamiltonian Dynamics,.

Generative AI for Autonomous Driving: A Review MCMC Using Hamiltonian Dynamics,

Reference 35

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Observation 088f4d04-3184-45e8-bc57-cc51d4590df1 · outbound

This paper cites Your classifier is secretly an energy based model and you should treat it like one,.

Generative AI for Autonomous Driving: A Review Your classifier is secretly an energy based model and you should treat it like one,

Reference 36

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Observation 7a62beab-aa1a-4d01-b8be-e15c0df752dc · outbound

This paper cites Energy-Based Diffusion Language Models for Text Generation.

Generative AI for Autonomous Driving: A Review Energy-Based Diffusion Language Models for Text Generation

Reference 37

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Observation b901bda5-a4c2-44dc-b289-528148401151 · outbound

This paper cites Training energy-based normalizing flow with score- matching objectives,.

Generative AI for Autonomous Driving: A Review Training energy-based normalizing flow with score- matching objectives,

Reference 38

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Observation 28e98077-b692-4c1f-84e0-0dfdb6e57efb · outbound

This paper cites Energy transformer,.

Generative AI for Autonomous Driving: A Review Energy transformer,

Reference 39

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Observation 2d3b9349-c760-4234-bd83-950a7e631ca5 · outbound

This paper cites Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review.

Generative AI for Autonomous Driving: A Review Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review

Reference 40

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Observation b108a0dc-c23e-410d-9785-e273c719d033 · outbound

This paper cites an unresolved cited work.

Generative AI for Autonomous Driving: A Review Unresolved cited work

Reference 41

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Observation 905e1a6b-bb43-4ddc-b38b-1c52f647d88a · outbound

This paper cites A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges.

Generative AI for Autonomous Driving: A Review A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges

Reference 42

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Observation 4b5453d6-a6bb-4cc1-b222-ac0565f49e98 · outbound

This paper cites Model-Based or Model-Free, a Review of Ap- proaches in Reinforcement Learning,.

Generative AI for Autonomous Driving: A Review Model-Based or Model-Free, a Review of Ap- proaches in Reinforcement Learning,

Reference 43

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Observation 8632448d-6262-4c4b-b8fc-0535c935d7a1 · outbound

This paper cites A Survey of Imitation Learning: Algorithms, Recent Develop- ments, and Challenges,.

Generative AI for Autonomous Driving: A Review A Survey of Imitation Learning: Algorithms, Recent Develop- ments, and Challenges,

Reference 44

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Observation c43cda4f-3916-44ca-963b-e88083523bbf · outbound

This paper cites Explor- ing the Limitations of Behavior Cloning for Autonomous Driving,.

Generative AI for Autonomous Driving: A Review Explor- ing the Limitations of Behavior Cloning for Autonomous Driving,

Reference 45

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source=pdf_text observed=2026-08-07T15:24:03.232737Z digest=sha256:569f7d085dc54adacd2033babeb5c2459fca7b2243208112c050f26761cca593

Observation 2f3b9682-b733-4ec5-9af4-d84850c738f8 · outbound

This paper cites A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress.

Generative AI for Autonomous Driving: A Review A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress

Reference 46

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source=pdf_text observed=2026-08-07T15:24:03.264842Z digest=sha256:3cb93b7aadfc39869186e74103eefb07f62f7e4e93c9fce3b80f96cc65f07173

Observation d8aac86a-6dab-4698-8810-d6eaaf1bbe13 · outbound

This paper cites Human-inspired autonomous driving: A survey,.

Generative AI for Autonomous Driving: A Review Human-inspired autonomous driving: A survey,

Reference 47

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source=pdf_text observed=2026-08-07T15:24:03.317363Z digest=sha256:373c9e68c7fbaf6ed3a619dff58f94daa1e417ba49178aa080b9fd2b0b8d3693

Observation f769ca8d-34ce-496f-a2ed-cbc798765eb2 · outbound

This paper cites Image Inpainting via Conditional Texture and Structure Dual Generation.

Generative AI for Autonomous Driving: A Review Image Inpainting via Conditional Texture and Structure Dual Generation

Reference 48

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source=pdf_text observed=2026-08-07T15:24:03.375462Z digest=sha256:6200ea83b83a9ab5a1e08acde3e82e5f21d01d9b6834b83fee05177ca7f19c20

Observation 264d7ec7-7021-4957-ad28-8dd201c0af0f · outbound

This paper cites Vista: A framework for virtual scenario-based testing of autonomous vehicles,.

Generative AI for Autonomous Driving: A Review Vista: A framework for virtual scenario-based testing of autonomous vehicles,

Reference 49

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source=pdf_text observed=2026-08-07T15:24:03.433012Z digest=sha256:8f849b361619a9806bff34d955287db19965336624a213b3ec104559339b3c1d

Observation 38141685-d5d5-41f4-ae06-73cd3147d3cd · outbound

This paper cites Generalized predictive model for autonomous driving,.

Generative AI for Autonomous Driving: A Review Generalized predictive model for autonomous driving,

Reference 50

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source=pdf_text observed=2026-08-07T15:24:03.465207Z digest=sha256:0c12124bff78d37cf99e7742d4f537010621df344cc2d8ffc31c228015e42745

Observation dac6d35b-c4c8-4ac9-bb16-5bbe7a950440 · outbound

This paper cites Guided conditional diffusion for controllable traffic simulation,.

Generative AI for Autonomous Driving: A Review Guided conditional diffusion for controllable traffic simulation,

Reference 51

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source=pdf_text observed=2026-08-07T15:24:03.505847Z digest=sha256:9516fbe60b6bcc800f9a770a2e02f2dbf226451c4e645778a1676106a3ff65e0

Observation a910cd08-4740-48e6-b0b2-fe9805e4ab4b · outbound

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

Generative AI for Autonomous Driving: A Review Motiondiffuser: Controllable multi-agent motion prediction using diffusion,

Reference 52

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source=pdf_text observed=2026-08-07T15:24:03.587416Z digest=sha256:7e3cacad41cc767b115e9b80bde5f09fdcfd4b273bdadf485f65a1953b822269

Observation 58402f7f-2137-4928-a9ca-ad7e16f4d21f · outbound

This paper cites GenAD: Generative End-to-End Autonomous Driving,.

Generative AI for Autonomous Driving: A Review GenAD: Generative End-to-End Autonomous Driving,

Reference 53

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source=pdf_text observed=2026-08-07T15:24:03.644030Z digest=sha256:56039f153c2c5ebcc22d6cb77fbd8ecf621f447e49a540390df1d65e6cdafd9a

Observation fd180414-713f-4ed0-9ec7-9f58e1d4214e · outbound

This paper cites Diffscene: Diffusion-based safety-critical scenario genera- tion for autonomous vehicles,.

Generative AI for Autonomous Driving: A Review Diffscene: Diffusion-based safety-critical scenario genera- tion for autonomous vehicles,

Reference 54

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source=pdf_text observed=2026-08-07T15:24:03.692985Z digest=sha256:ad05837f776aad0d735cd52846e6aa3cb7ec7951abf87512072a941101e1b400

Observation 2471ccaf-300d-4715-873e-7bb8a3724fb1 · outbound

This paper cites Versatile Scene-Consistent Traffic Sce- nario Generation as Optimization with Diffusion,.

Generative AI for Autonomous Driving: A Review Versatile Scene-Consistent Traffic Sce- nario Generation as Optimization with Diffusion,

Reference 55

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source=pdf_text observed=2026-08-07T15:24:03.737114Z digest=sha256:9bbc66d743c4b08d59cef2c7fd8162c47b4ae607bb9d8ac57ded75817a5ad240

Observation 403ae045-724a-4b48-a3f5-e0c4f29fd611 · outbound

This paper cites DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation.

Generative AI for Autonomous Driving: A Review DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

Reference 56

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source=pdf_text observed=2026-08-07T15:24:03.811275Z digest=sha256:bd86b5ddbb8ded3fa42309552b617daf4552af2d6435140dd8d25e8977ed2bf5

Observation 020041ff-77be-46bf-8661-56085fe0e63d · outbound

This paper cites GANs Conditioning Methods: A Survey.

Generative AI for Autonomous Driving: A Review GANs Conditioning Methods: A Survey

Reference 57

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source=pdf_text observed=2026-08-07T15:24:03.884532Z digest=sha256:a1f32ee4055a6186aa5eaf782e8074986ff1f08571d47ab786a7638d17db748d

Observation d627b8a0-15c3-4bce-86f8-95c4f53db2a6 · outbound

This paper cites Learning conditional variational au- toencoders with missing covariates,.

Generative AI for Autonomous Driving: A Review Learning conditional variational au- toencoders with missing covariates,

Reference 58

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source=pdf_text observed=2026-08-07T15:24:03.916720Z digest=sha256:5ecb1e8484ab7570719bdf7e5dd3f3b6eab481453d14d66e16571c8d5d485baa

Observation 10f347c9-903f-4b5b-92c4-d4ec7fb40b41 · outbound

This paper cites Learning Likelihoods with Conditional Normalizing Flows.

Generative AI for Autonomous Driving: A Review Learning Likelihoods with Conditional Normalizing Flows

Reference 59

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source=pdf_text observed=2026-08-07T15:24:03.998734Z digest=sha256:e01254565c830ef4b942dae1fceee837474985404c14f12ba40523c0597e35a5

Observation ef761207-a628-4feb-9b6f-46ec17941ca6 · outbound

This paper cites MotionLM: Multi-Agent Motion Forecasting as Language Modeling,.

Generative AI for Autonomous Driving: A Review MotionLM: Multi-Agent Motion Forecasting as Language Modeling,

Reference 60

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source=pdf_text observed=2026-08-07T15:24:04.060093Z digest=sha256:9671e965d02d9676ea17274d22672fbc417ac48a22f698805805227ab25ec1b0

Observation fba63d02-d237-4702-9879-5ecc8a80f777 · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods,.

Generative AI for Autonomous Driving: A Review Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods,

Reference 61

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source=pdf_text observed=2026-08-07T15:24:04.114251Z digest=sha256:aac8e8b3e4ec947915447d44d226f6ea87c7229c862ff58b698b1bf1e77a380c

Observation fac81239-c415-471b-8168-e3b2e00d0f4f · outbound

This paper cites Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control.

Generative AI for Autonomous Driving: A Review Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control

Reference 62

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source=pdf_text observed=2026-08-07T15:24:04.162926Z digest=sha256:570244e29152283186e5615c2f892020c42cc7caafacd86539d0af1190358e55

Observation 17c88a5b-5c89-4e3f-859e-b2fd4c0c9a56 · outbound

This paper cites RACP: Risk-Aware Contingency Planning with Multi- Modal Predictions,.

Generative AI for Autonomous Driving: A Review RACP: Risk-Aware Contingency Planning with Multi- Modal Predictions,

Reference 63

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source=pdf_text observed=2026-08-07T15:24:04.197060Z digest=sha256:bac6f750195edddd53c679f3f4157a1faaabbd1b1850b1953e82c276323ea3f0

Observation 3f705884-7fa1-4bcb-9c71-a21d55bcbbf3 · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Generative AI for Autonomous Driving: A Review A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 64

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source=pdf_text observed=2026-08-07T15:24:04.249544Z digest=sha256:1fc5aca453504c174d3c8a2d47baf7e71ae0f1a236f9062b01f8576e246fcd7b

Observation 3e71a51b-9549-4e6d-aa7c-c87e0bc29e1f · outbound

This paper cites Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift,.

Generative AI for Autonomous Driving: A Review Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift,

Reference 65

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source=pdf_text observed=2026-08-07T15:24:04.315239Z digest=sha256:34f1551bc39c774aec16c89c6f9f33ddaf926dc5275106eb4c1a2ec13a23a5de

Observation 52496202-6c68-4907-a8fd-df708ea091f1 · outbound

This paper cites Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks.

Generative AI for Autonomous Driving: A Review Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

Reference 66

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Observation d1172cde-fa11-4155-8fc6-1944b9dc5f81 · outbound

This paper cites Dropout as a Bayesian Approxi- mation: Representing Model Uncertainty in Deep Learning,.

Generative AI for Autonomous Driving: A Review Dropout as a Bayesian Approxi- mation: Representing Model Uncertainty in Deep Learning,

Reference 67

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source=pdf_text observed=2026-08-07T15:24:04.401934Z digest=sha256:acfd9aeba90be7050eca555dc62dafc51716a852154200ff961b7e6f9e22ba9d

Observation 5650bc8d-4ac7-4941-acab-a7da2421c785 · outbound

This paper cites A Simple Baseline for Bayesian Uncertainty in Deep Learning,.

Generative AI for Autonomous Driving: A Review A Simple Baseline for Bayesian Uncertainty in Deep Learning,

Reference 68

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Observation 7feef86a-1cf7-4e6b-9470-701f532b6597 · outbound

This paper cites Laplace Redux - Effortless Bayesian Deep Learning,.

Generative AI for Autonomous Driving: A Review Laplace Redux - Effortless Bayesian Deep Learning,

Reference 69

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source=pdf_text observed=2026-08-07T15:24:04.465504Z digest=sha256:2bdf6802c91240344b3c4b6f5bc0f180fd97b36bd488d27246b34574e699fc03

Observation 1de367b8-d9d5-4744-a53d-401555d90c1c · outbound

This paper cites Generalized Vari- ational Continual Learning,.

Generative AI for Autonomous Driving: A Review Generalized Vari- ational Continual Learning,

Reference 70

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source=pdf_text observed=2026-08-07T15:24:04.471124Z digest=sha256:6a38427d2a08b83c986100f1ae197cf30046ac6a7fd4af18b361e7838718a91c

Observation 48ef7f5b-8bae-4cd9-8356-9c70b7e07ade · outbound

This paper cites Training, Ar- chitecture, and Prior for Deterministic Uncertainty Methods,.

Generative AI for Autonomous Driving: A Review Training, Ar- chitecture, and Prior for Deterministic Uncertainty Methods,

Reference 71

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Observation ea8c1d05-37ae-4ab7-bf07-739ae5f5d571 · outbound

This paper cites On the Practicality of Deterministic Epistemic Uncertainty,.

Generative AI for Autonomous Driving: A Review On the Practicality of Deterministic Epistemic Uncertainty,

Reference 72

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source=pdf_text observed=2026-08-07T15:24:04.634904Z digest=sha256:d935ebae38e678c0b5cc83b259ab3328c94f8820d9fb217fe732689294da23f6

Observation cea4e385-3611-479a-ba1b-0b2783720443 · outbound

This paper cites Simple and principled uncertainty estimation with deterministic deep learning via distance awareness,.

Generative AI for Autonomous Driving: A Review Simple and principled uncertainty estimation with deterministic deep learning via distance awareness,

Reference 73

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Observation ceb5e579-1824-4550-bd24-163259d0b5b1 · outbound

This paper cites Solving Bayesian Inverse Problems via Variational Autoen- coders,.

Generative AI for Autonomous Driving: A Review Solving Bayesian Inverse Problems via Variational Autoen- coders,

Reference 74

Resolution
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source=pdf_text observed=2026-08-07T15:24:04.697428Z digest=sha256:40d10c6ecbf533f014cac8eaa7c6bc6dd3657a5ac686533fb422a1f480f44b44

Observation 55461312-ea71-40c6-9aa7-b0d7444034e6 · outbound

This paper cites UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs,.

Generative AI for Autonomous Driving: A Review UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs,

Reference 75

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source=pdf_text observed=2026-08-07T15:24:04.728793Z digest=sha256:f816c025e70d6603077642faedb74cc3bc2f200555fdd7fa4d4afcbce7e0d768

Observation b8de719c-814e-4f74-8cd5-d4db4624a10c · outbound

This paper cites Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model,.

Generative AI for Autonomous Driving: A Review Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model,

Reference 76

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source=pdf_text observed=2026-08-07T15:24:04.819046Z digest=sha256:d76e04adefdbbd31877b3ed9c60b90ed93cd4a7f5a7665e4fe981091e491d170

Observation 4cecec20-bb22-4bd6-8502-743ea7bec534 · outbound

This paper cites Uncertainty Quantification with Generative Models.

Generative AI for Autonomous Driving: A Review Uncertainty Quantification with Generative Models

Reference 77

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source=pdf_text observed=2026-08-07T15:24:04.942371Z digest=sha256:db532f8afad0a9c8b7b22041354e8e6b9ad6f8c9efd265be0399efd8c651fd3b

Observation 910af73c-046a-46c0-ae03-64eefc3fa13c · outbound

This paper cites DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement.

Generative AI for Autonomous Driving: A Review DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement

Reference 78

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Observation 50c94086-18e9-48c9-b274-7e26f8e3347b · outbound

This paper cites Conformal Prediction for Natural Language Processing: A Survey.

Generative AI for Autonomous Driving: A Review Conformal Prediction for Natural Language Processing: A Survey

Reference 79

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source=pdf_text observed=2026-08-07T15:24:05.182352Z digest=sha256:eeceb596374bb41e5bbf9f03d8f6330822d54ce15fe9351d872be4889dd8ffc7

Observation a956ee7e-a413-4fac-851a-9ec6782c1c3a · outbound

This paper cites Adaptive Uncertainty Quantification for Generative AI.

Generative AI for Autonomous Driving: A Review Adaptive Uncertainty Quantification for Generative AI

Reference 80

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source=pdf_text observed=2026-08-07T15:24:05.304277Z digest=sha256:bb0350478f6e91683dad8f3ad2412d3e5183efcde4159406c1d89810c13c57ac

Observation 48025b83-7107-47fc-9a8e-8cb5b1bb84af · outbound

This paper cites Uncertainty Quantifi- cation for In-Context Learning of Large Language Models,.

Generative AI for Autonomous Driving: A Review Uncertainty Quantifi- cation for In-Context Learning of Large Language Models,

Reference 81

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source=pdf_text observed=2026-08-07T15:24:05.413373Z digest=sha256:3a2476a344562061c0e3450cff408b9bdea26b43468f999470f41beddca7352d

Observation cd5adba3-ce99-483b-85f9-58c728cabc1f · outbound

This paper cites Mp3: A unified model to map, perceive, predict and plan,.

Generative AI for Autonomous Driving: A Review Mp3: A unified model to map, perceive, predict and plan,

Reference 82

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source=pdf_text observed=2026-08-07T15:24:05.520130Z digest=sha256:9eb1de4ec0ddf381b7916d641c166b23b3e2a06a2ad1bb3c8a8477b56c155f63

Observation 73b336de-afda-432a-b2ec-960412e892dd · outbound

This paper cites St- p3: End-to-end vision-based autonomous driving via spatial- temporal feature learning,.

Generative AI for Autonomous Driving: A Review St- p3: End-to-end vision-based autonomous driving via spatial- temporal feature learning,

Reference 83

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source=pdf_text observed=2026-08-07T15:24:05.625918Z digest=sha256:fb12fb234d3297f22e77531dc0d8b577a7ca4be70dfabffefba1961ebb76f4e6

Observation d8263140-a60a-4ba8-a9cc-6d108f32072f · outbound

This paper cites TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers.

Generative AI for Autonomous Driving: A Review TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Reference 84

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source=pdf_text observed=2026-08-07T15:24:05.707977Z digest=sha256:380970b4413b4112d042ae265152ffeb7c9ab14dac7dea9e51ae3b4a1431623b

Observation c21a2830-cb44-4e78-967f-dcd4afe45ae8 · outbound

This paper cites Radar-Camera Fusion for Object Detection and Semantic Segmentation in Au- tonomous Driving: A Comprehensive Review,.

Generative AI for Autonomous Driving: A Review Radar-Camera Fusion for Object Detection and Semantic Segmentation in Au- tonomous Driving: A Comprehensive Review,

Reference 85

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source=pdf_text observed=2026-08-07T15:24:05.802400Z digest=sha256:5115fcd5809525da2f0d8878942d67e9e6b9175aa6972bf9bf524018050cdbad

Observation 55bb738c-3a3c-4814-8d03-7a81f92b42f3 · outbound

This paper cites Integration of GPS and dead-reckoning navi- gation systems,.

Generative AI for Autonomous Driving: A Review Integration of GPS and dead-reckoning navi- gation systems,

Reference 86

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source=pdf_text observed=2026-08-07T15:24:05.917401Z digest=sha256:62474a417bf201501f91e0b8c95dc57ecaaab11b8962fa1cca92cb13f5eddf46

Observation cf03b2c7-b4af-4326-ac78-2dafd9832bff · outbound

This paper cites A Survey of Autonomous Driving: Common Practices and Emerging Technologies,.

Generative AI for Autonomous Driving: A Review A Survey of Autonomous Driving: Common Practices and Emerging Technologies,

Reference 87

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source=pdf_text observed=2026-08-07T15:24:05.950066Z digest=sha256:bd0d3090920bcb3a56fc7ea4be9d2443d3a79344f6f7387f47e97163f0ef7c26

Observation 09112e7a-e0eb-40c3-88e5-439511a932b8 · outbound

This paper cites Early vs Late Fusion in Multimodal Convolutional Neural Networks,.

Generative AI for Autonomous Driving: A Review Early vs Late Fusion in Multimodal Convolutional Neural Networks,

Reference 88

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source=pdf_text observed=2026-08-07T15:24:05.960846Z digest=sha256:01cbacbaf5d20063df9378ffbed7981236568681fdfc755f90d9368c266aa817

Observation 4a8fb9d5-9076-41bb-94df-76e503c82acf · outbound

This paper cites Multimodal End-to-End Autonomous Driv- ing,.

Generative AI for Autonomous Driving: A Review Multimodal End-to-End Autonomous Driv- ing,

Reference 89

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source=pdf_text observed=2026-08-07T15:24:05.983444Z digest=sha256:355b0bdfd88903daa151ea0b88cb68ebe2efb176ada738aa7efd8a77991d187d

Observation 0211b503-f35f-4a82-b7a5-3b3a9efdfbeb · outbound

This paper cites A review of high- definition map creation methods for autonomous driving,.

Generative AI for Autonomous Driving: A Review A review of high- definition map creation methods for autonomous driving,

Reference 90

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source=pdf_text observed=2026-08-07T15:24:06.023043Z digest=sha256:851feefdd262d2744684b0a755c8ffbb0ecbe10bb276dc65d4902c4bd762c393

Observation 751d491e-fc2e-4324-b966-c6a7454c74db · outbound

This paper cites SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Genera- tion,.

Generative AI for Autonomous Driving: A Review SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Genera- tion,

Reference 91

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source=pdf_text observed=2026-08-07T15:24:06.068397Z digest=sha256:dde180ece59bbd611950ae61a8b677323ccfecdf5fe264c7ced5279210d51be7

Observation bd7ca287-45cf-49b3-aacc-124155a28407 · outbound

This paper cites HDMapNet: An Online HD Map Construction and Evaluation Framework,.

Generative AI for Autonomous Driving: A Review HDMapNet: An Online HD Map Construction and Evaluation Framework,

Reference 92

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source=pdf_text observed=2026-08-07T15:24:06.091033Z digest=sha256:d0bdc56b5e7fa3349f602886e61f801cc6611f1368f22b561ac7f21385f0e279

Observation 8b394bec-94f7-4c8f-816c-6a68fc8d0175 · outbound

This paper cites MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction.

Generative AI for Autonomous Driving: A Review MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Reference 93

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source=pdf_text observed=2026-08-07T15:24:06.137582Z digest=sha256:f543de9a4a0b97cb43779e85cbd834ef21d2b9e307f4cebbca0fe86af30b98a7

Observation 7d54f704-e4ec-4587-a42c-34aa00429f92 · outbound

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

Generative AI for Autonomous Driving: A Review VAD: Vectorized Scene Representation for Efficient Autonomous Driving

Reference 94

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source=pdf_text observed=2026-08-07T15:24:06.180518Z digest=sha256:a0c293ef1a02cabab9468239cdbcdd72a43da2fe5732009844f904a025821bfe

Observation 9787284d-8ad7-4c8b-86f0-b45d1fe8ad33 · outbound

This paper cites VectorMapNet: End-to-end Vectorized HD Map Learning.

Generative AI for Autonomous Driving: A Review VectorMapNet: End-to-end Vectorized HD Map Learning

Reference 95

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source=pdf_text observed=2026-08-07T15:24:06.214336Z digest=sha256:13fb7246b3649969fa2fa2e2cbf1c7401c3f4c93957b09f859fe4b59f6a11142

Observation d6d3243d-29dd-49c9-9f99-1e4465bd0e46 · outbound

This paper cites VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation.

Generative AI for Autonomous Driving: A Review VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Reference 96

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source=pdf_text observed=2026-08-07T15:24:06.249212Z digest=sha256:330a431e1c11db728e8bdb45b5a591e3e3e3af8aa5a099b4ca36e363e3ffa278

Observation 5b8d83f4-3388-48c1-b039-1fe319be0ef2 · outbound

This paper cites Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving.

Generative AI for Autonomous Driving: A Review Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

Reference 97

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source=pdf_text observed=2026-08-07T15:24:06.293306Z digest=sha256:9ef922fc470933ff31b039c274d2218df6e94b4d59d9e1b3b0ab318d1b703625

Observation 7fc84ed1-eb8f-45e6-8019-2b32a6e77ff8 · outbound

This paper cites SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving.

Generative AI for Autonomous Driving: A Review SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving

Reference 98

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source=pdf_text observed=2026-08-07T15:24:06.360754Z digest=sha256:4b84ee829fd5a1e0b5a7036af9b3bb43149994b7a4b942f4f092a51c197f1ea2

Observation f9e99ab9-f01a-4731-aed5-ac3be217e8ba · outbound

This paper cites Delving Into the Devils of Bird’s-Eye-View Perception: A Review, Evaluation and Recipe,.

Generative AI for Autonomous Driving: A Review Delving Into the Devils of Bird’s-Eye-View Perception: A Review, Evaluation and Recipe,

Reference 99

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source=pdf_text observed=2026-08-07T15:24:06.416000Z digest=sha256:40c7931af04c2fb48311915dce0da80fd4c2f095d2e6ec5e278a889b0dd43d4f

Observation b9b1ac7c-1593-4733-a4f8-51279ecc9f71 · outbound

This paper cites Language Prompt for Autonomous Driving,.

Generative AI for Autonomous Driving: A Review Language Prompt for Autonomous Driving,

Reference 100

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source=pdf_text observed=2026-08-07T15:24:06.447635Z digest=sha256:23d52aa9472e30dc61b01f1f09f4965dce1330f5860e2d913e703c11375483bc

Pith citing papers

Observation 8f92856d-0f2d-4722-853a-84935c715c62 · inbound

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey cites this paper.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Generative AI for Autonomous Driving: A Review

Reference 92

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source=pdf_text observed=2026-08-04T19:19:25.618718Z digest=sha256:23adf7e4ceecdfbae6f0573051dd14a309b603193507d9930f91d58c17fc034e

Observation 88314d58-13db-4ec6-a2fa-0191ab3ce67f · inbound

Extended Field of View Analysis for VideoGAN-based Trajectory Generation cites this paper.

Extended Field of View Analysis for VideoGAN-based Trajectory Generation Generative AI for Autonomous Driving: A Review

Reference 42

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source=pdf_text observed=2026-08-04T09:55:35.257282Z digest=sha256:aae2ed8896756de4d9b398401859f4e29ab6a57bbbd9b004e0f2bc64e2363132