Paper Citation Record · LEDGER

VideoGAN-based Trajectory Proposal for Automated Vehicles

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2506.16209.

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

pith.paper-citation-record.v1
2506.16209 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:33.848826Z

measured 45 of 45 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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verified fuzzy21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af0b4f02-f7a3-4f95-8b70-12a05f11f4e7 · outbound

This paper cites Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving.

VideoGAN-based Trajectory Proposal for Automated Vehicles Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:40.165094Z

Source-reported events for the cited work

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Observation e157398e-8759-4426-bd99-b055293f63b9 · outbound

This paper cites Social LSTM: Human Trajectory Prediction in Crowded Spaces.

VideoGAN-based Trajectory Proposal for Automated Vehicles Social LSTM: Human Trajectory Prediction in Crowded Spaces

Reference 2

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Observation 91cdc175-41f0-49a3-9ed0-9489907d4e3c · outbound

This paper cites an unresolved cited work.

VideoGAN-based Trajectory Proposal for Automated Vehicles Unresolved cited work

Reference 3

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Observation 037df6bd-fc34-4df1-8dd4-55416c92c6a0 · outbound

This paper cites Machine Learning for Autonomous Vehicle’s Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions, July 2023.

VideoGAN-based Trajectory Proposal for Automated Vehicles Machine Learning for Autonomous Vehicle’s Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions, July 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:39.929504Z

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Observation 98ba297b-8694-4d3b-a7be-208179b0e3b1 · outbound

This paper cites Generating Long Videos of Dynamic Scenes.

VideoGAN-based Trajectory Proposal for Automated Vehicles Generating Long Videos of Dynamic Scenes

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:39.715540Z

Source-reported events for the cited work

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Observation 9b92d99c-eec9-4a8a-880a-141ce54d4eab · outbound

This paper cites MP3: A Unified Model To Map, Perceive, Predict and Plan.

VideoGAN-based Trajectory Proposal for Automated Vehicles MP3: A Unified Model To Map, Perceive, Predict and Plan

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:39.435031Z

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Observation c003333b-c099-41b7-b14e-d4f854782077 · outbound

This paper cites Trajectory generation: A survey on methods and techniques.

VideoGAN-based Trajectory Proposal for Automated Vehicles Trajectory generation: A survey on methods and techniques

Reference 7

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Observation 4b9f4c48-987d-4cc3-a565-6ca83cb4273a · outbound

This paper cites LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving.

VideoGAN-based Trajectory Proposal for Automated Vehicles LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:39.024034Z

Source-reported events for the cited work

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Observation e2854db5-c2ce-4ecb-9b9c-ce9633bf9b85 · outbound

This paper cites TPNet: Trajectory Pro- posal Network for Motion Prediction.

VideoGAN-based Trajectory Proposal for Automated Vehicles TPNet: Trajectory Pro- posal Network for Motion Prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:38.821739Z

Source-reported events for the cited work

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Observation e2da7c01-0c98-4ba3-b80c-7fb7f999f987 · outbound

This paper cites HOME: Heatmap Output for future Motion Estimation.

VideoGAN-based Trajectory Proposal for Automated Vehicles HOME: Heatmap Output for future Motion Estimation

Reference 10

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Observation fee79d22-3baa-4ee0-8140-747c38443e48 · outbound

This paper cites A Survey of Deep Learning Techniques for Autonomous Driving.

VideoGAN-based Trajectory Proposal for Automated Vehicles A Survey of Deep Learning Techniques for Autonomous Driving

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:30.918100Z

Source-reported events for the cited work

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Observation 97be5f7b-7bcf-4de2-a2fe-e669a75f180a · outbound

This paper cites Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion.

VideoGAN-based Trajectory Proposal for Automated Vehicles Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:38.592853Z

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.

Observation 55c1d435-3588-49f0-bb17-a1a7f10faaf9 · outbound

This paper cites Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks.

VideoGAN-based Trajectory Proposal for Automated Vehicles Social GAN: Socially Acceptable Trajectories With Generative Adversarial Networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:38.388113Z

Source-reported events for the cited work

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Observation 979e686a-4ee2-4e18-91bc-c5d6ad599913 · outbound

This paper cites The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review.

VideoGAN-based Trajectory Proposal for Automated Vehicles The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:48:31.248749Z

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Observation f08d7c3f-75db-4826-954a-48fbb578d85e · outbound

This paper cites Vision-Based Driver Assistance Systems: Survey, Taxonomy and Advances.

VideoGAN-based Trajectory Proposal for Automated Vehicles Vision-Based Driver Assistance Systems: Survey, Taxonomy and Advances

Reference 15

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Observation 39b6f482-9222-4dea-82b2-5511576ae15f · outbound

This paper cites FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras.

VideoGAN-based Trajectory Proposal for Automated Vehicles FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras

Reference 16

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Observation 3fe47134-b3f8-4f7f-b196-88f128a149c0 · outbound

This paper cites ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.

VideoGAN-based Trajectory Proposal for Automated Vehicles ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning

Reference 17

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Observation 1e4f65d3-a878-486f-b77d-ef149bba2d47 · outbound

This paper cites A Review of Deep Learning-Based Vehicle Motion Prediction for Autonomous Driving.

VideoGAN-based Trajectory Proposal for Automated Vehicles A Review of Deep Learning-Based Vehicle Motion Prediction for Autonomous Driving

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:31.712601Z

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Observation 391c6704-c47c-4ecf-ac0d-5f2195c25b1e · outbound

This paper cites Multimodal Trajectory Prediction: A Survey, February 2023.

VideoGAN-based Trajectory Proposal for Automated Vehicles Multimodal Trajectory Prediction: A Survey, February 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:38.193815Z

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Observation b11921aa-3cdf-4e12-91cd-8c760d46216d · outbound

This paper cites HDGT: Hetero- geneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encod- ing.

VideoGAN-based Trajectory Proposal for Automated Vehicles HDGT: Hetero- geneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encod- ing

Reference 20

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Observation 69f95420-4009-4cd9-bbc3-a45379bfeb00 · outbound

This paper cites MotionDiffuser: Controllable Multi-Agent Motion Prediction Us- ing Diffusion.

VideoGAN-based Trajectory Proposal for Automated Vehicles MotionDiffuser: Controllable Multi-Agent Motion Prediction Us- ing Diffusion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:37.992813Z

Source-reported events for the cited work

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Observation f5366778-296d-4321-91f0-76bbee17bc4e · outbound

This paper cites Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling.

VideoGAN-based Trajectory Proposal for Automated Vehicles Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling

Reference 22

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Observation aa78110c-a46c-4316-979f-fe7fb3cb32e9 · outbound

This paper cites Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving.

VideoGAN-based Trajectory Proposal for Automated Vehicles Towards learning-based planning: The nuPlan benchmark for real-world autonomous driving

Reference 23

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Observation ca6c8e36-93f2-4b81-94a0-512774c0e251 · outbound

This paper cites Level-5 Autonomous Driving—Are We There Yet? A Review of Research Literature.

VideoGAN-based Trajectory Proposal for Automated Vehicles Level-5 Autonomous Driving—Are We There Yet? A Review of Research Literature

Reference 24

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Observation 84fec882-2afc-42bb-b502-6f8578341a90 · outbound

This paper cites A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving.

VideoGAN-based Trajectory Proposal for Automated Vehicles A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving

Reference 25

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Source-reported events for the cited work

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Observation 6ff0636d-a16d-4413-bcfe-a52775907f37 · outbound

This paper cites Gener- ative Models in Decision Making: A Survey, March 2025.

VideoGAN-based Trajectory Proposal for Automated Vehicles Gener- ative Models in Decision Making: A Survey, March 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:37.724882Z

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Observation 13a13eeb-9c06-4693-bf85-ac9bdd6e7238 · outbound

This paper cites Occupancy Flow Fields for Motion Forecasting in Autonomous Driving.

VideoGAN-based Trajectory Proposal for Automated Vehicles Occupancy Flow Fields for Motion Forecasting in Autonomous Driving

Reference 27

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Observation 295b76b7-b409-4084-816a-9df4144be781 · outbound

This paper cites Weiss, Benjamin Sapp, Zhifeng Chen, and Jonathon Shlens.

VideoGAN-based Trajectory Proposal for Automated Vehicles Weiss, Benjamin Sapp, Zhifeng Chen, and Jonathon Shlens

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:37.556163Z

Source-reported events for the cited work

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Observation 9a500318-8df9-4ab2-afe3-8a2349ef7f74 · outbound

This paper cites Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction.

VideoGAN-based Trajectory Proposal for Automated Vehicles Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:37.373337Z

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Observation e712427e-07f2-42ba-ba58-ed443a70f58f · outbound

This paper cites Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey, December 2020.

VideoGAN-based Trajectory Proposal for Automated Vehicles Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey, December 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:37.181559Z

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Observation a0eb1b3a-bf73-4cf7-ab5f-846218fbb8c6 · outbound

This paper cites Deep Imitative Mod- els for Flexible Inference, Planning, and Control.

VideoGAN-based Trajectory Proposal for Automated Vehicles Deep Imitative Mod- els for Flexible Inference, Planning, and Control

Reference 31

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Observation 2e44ff4e-f09b-4189-82f5-22ac633189d6 · outbound

This paper cites Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids.IEEE Robotics and Automation Letters, 5(2):2816–2823, April 2020.

VideoGAN-based Trajectory Proposal for Automated Vehicles Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids.IEEE Robotics and Automation Letters, 5(2):2816–2823, April 2020

Reference 32

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Observation 2f39a2c5-6aba-4cda-aa0c-248f492655f1 · outbound

This paper cites An introduction to deep generative modeling.

VideoGAN-based Trajectory Proposal for Automated Vehicles An introduction to deep generative modeling

Reference 33

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Observation 58ab81dd-7a91-496c-9fcf-994669cf3866 · outbound

This paper cites Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.

VideoGAN-based Trajectory Proposal for Automated Vehicles Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data

Reference 34

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Observation 11b436e5-0135-439c-9d28-b11234a9853f · outbound

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

VideoGAN-based Trajectory Proposal for Automated Vehicles Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions

Reference 35

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Observation df00020a-c25e-4700-a0aa-f808cf7c9004 · outbound

This paper cites Motion Transformer with Global Intention Localization and Local Movement Refinement.

VideoGAN-based Trajectory Proposal for Automated Vehicles Motion Transformer with Global Intention Localization and Local Movement Refinement

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:36.600300Z

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Observation dce0d205-0d7a-45fb-8b8c-53f699aa6e41 · outbound

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VideoGAN-based Trajectory Proposal for Automated Vehicles Unresolved cited work

Reference 38

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This paper cites A Survey on Video Diffusion Models.

VideoGAN-based Trajectory Proposal for Automated Vehicles A Survey on Video Diffusion Models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:36.371429Z

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Observation 47ed3fd0-ff2b-435f-9b45-4a12b53391ce · outbound

This paper cites Fine-Grained Behavior and Lane Constraints Guided Trajectory Prediction Method, April 2025.

VideoGAN-based Trajectory Proposal for Automated Vehicles Fine-Grained Behavior and Lane Constraints Guided Trajectory Prediction Method, April 2025

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:36.039449Z

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Observation 78222881-236c-43c4-a9e8-006452bd72f7 · outbound

This paper cites Researches on Adaptive Cruise Control system: A state of the art review.

VideoGAN-based Trajectory Proposal for Automated Vehicles Researches on Adaptive Cruise Control system: A state of the art review

Reference 41

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Source-reported events for the cited work

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Observation 2cc82d99-bb70-42d8-8e04-cf50a77dc2c3 · outbound

This paper cites Kebria, Abbas Khosravi, and Saeid Nahavandi.

VideoGAN-based Trajectory Proposal for Automated Vehicles Kebria, Abbas Khosravi, and Saeid Nahavandi

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:35.679535Z

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Observation 5bef62ba-fac5-49dc-a6e7-97558c63b50d · outbound

This paper cites A Novel Di- rect Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly- Exploring Random Tree.

VideoGAN-based Trajectory Proposal for Automated Vehicles A Novel Di- rect Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly- Exploring Random Tree

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:35.524030Z

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Observation b48ca677-a560-4c34-9709-cd7dc1ae133c · outbound

This paper cites HiVT: Hierar- chical Vector Transformer for Multi-Agent Motion Prediction.

VideoGAN-based Trajectory Proposal for Automated Vehicles HiVT: Hierar- chical Vector Transformer for Multi-Agent Motion Prediction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:48:35.276679Z

Source-reported events for the cited work

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Observation 6d748efe-2b73-43a7-a413-41475f1f8187 · outbound

This paper cites doi: 10.1109/TITS.2022.3164391.

VideoGAN-based Trajectory Proposal for Automated Vehicles doi: 10.1109/TITS.2022.3164391

Reference 2022

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Observation cdcde8ee-faa0-4950-95c4-f9951ee75dfd · outbound

This paper cites doi: 10.1145/3696415.

VideoGAN-based Trajectory Proposal for Automated Vehicles doi: 10.1145/3696415

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:33.223761Z

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Pith citing papers

No inbound Pith citation observations are available.