Paper Citation Record · LEDGER

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2607.06516.

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

pith.paper-citation-record.v1
2607.06516 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T03:20:39.917042Z

measured 47 of 47 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:34:16.554975Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:34:20.942433Z

Reference resolution

46 of 46 outbound references displayed

verified exact21
verified fuzzy23
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6624872-4cbe-420e-a109-095eb8a5e768 · outbound

This paper cites Planning-oriented autonomous driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Planning-oriented autonomous driving

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.876710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f52423c3-516c-4179-8805-3413a198b6f3 · outbound

This paper cites Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2).

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.882308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f508cc7-8067-422e-8d0e-e380a12c3a9a · outbound

This paper cites DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.776923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bce53d50-42c1-46e1-8752-789a0b78c8cb · outbound

This paper cites Drivetransformer: Unified trans- former for scalable end-to-end autonomous driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Drivetransformer: Unified trans- former for scalable end-to-end autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.887439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3056020c-5e62-4acd-a17c-710d6982d311 · outbound

This paper cites Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end au- tonomous driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Driveadapter: Breaking the coupling barrier of perception and planning in end-to-end au- tonomous driving

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.887214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f680a98-d7fa-4257-aeef-810a250d98f1 · outbound

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

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation nuscenes: A multimodal dataset for autonomous driving

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.881856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89fe2d0b-f578-4727-afb9-f6cbdeb6374c · outbound

This paper cites Carla: An open urban driving simulator.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Carla: An open urban driving simulator

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.876904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8035a16e-dcd3-4da5-af9b-5d31984a7025 · outbound

This paper cites ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.773514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c5ea9a2-21fc-4fa3-8b46-1095df3f1bd2 · outbound

This paper cites Bench2Drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Bench2Drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.890897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7b59f56-2469-4ebf-915b-b33bc59d5d04 · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Street gaussians: Modeling dynamic urban scenes with gaussian splatting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.889010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b83f20a-60ee-4ff6-b67b-4f91952ea303 · outbound

This paper cites Drive- dreamer: Towards real-world-drive world models for autonomous driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Drive- dreamer: Towards real-world-drive world models for autonomous driving

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.889438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90ca74bf-f294-4dc7-a51e-8a0ed8b1c7a0 · outbound

This paper cites Generalized predictive model for autonomous driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Generalized predictive model for autonomous driving

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.891225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bca52f1-34fc-4377-8647-2b92697391b9 · outbound

This paper cites OmniRe: Omni Urban Scene Reconstruction.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation OmniRe: Omni Urban Scene Reconstruction

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T03:24:28.745031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9235f9d-0e0a-4828-83c7-6a0aa5b305b7 · outbound

This paper cites ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectories.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation ReCamDriving: LiDAR-Free Camera-Controlled Video Synthesis for Novel Trajectories

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-08-05T01:34:16.609562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67930a88-12a3-4368-8763-7e4469a0926b · outbound

This paper cites R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.741021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddad8aa8-e960-414c-8c0a-b404f76bd710 · outbound

This paper cites FreeVS: Generative View Synthesis on Free Driving Trajectory.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation FreeVS: Generative View Synthesis on Free Driving Trajectory

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.724408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a7b9d2a-b4e6-46fc-8547-ed2d3f13b2bc · outbound

This paper cites arXiv preprint arXiv:2512.24227 (2025).

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation arXiv preprint arXiv:2512.24227 (2025)

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-08T03:24:28.730940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d0ec39a-0468-4bba-8111-5aef98fcee9d · outbound

This paper cites DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.754449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85e98bbc-abd2-49e1-90ef-f2eec3a8e148 · outbound

This paper cites DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.770221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d09263c3-f043-4692-bee3-7ad36bf92fd3 · outbound

This paper cites Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.720022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5869f2f-1eec-463e-8c6d-b1e17e213eab · outbound

This paper cites Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Diffusion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37:24081–24125

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.912691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03e0781a-2589-44cb-a0ef-07c2e84a4b1f · outbound

This paper cites Rolling diffusion models,.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Rolling diffusion models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.900137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2e79794-6b87-4dda-ad37-fe9f8ecbfa55 · outbound

This paper cites Rolling Diffusion Models.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Rolling Diffusion Models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.751474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97c34a4b-1d63-448a-93b8-f65f19ccbca9 · outbound

This paper cites Pointpainting: Sequential fusion for 3d object detection.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Pointpainting: Sequential fusion for 3d object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.916561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 104575ed-912e-49c6-ba44-3fa22c4a4e60 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.712938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7a664f9-c42d-4564-aab7-1639fa7ce972 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Adding conditional control to text-to-image diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.908224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fcf7968a-6bf3-45e8-b99b-5688f08b27b7 · outbound

This paper cites OminiControl2: Efficient Conditioning for Diffusion Transformers.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation OminiControl2: Efficient Conditioning for Diffusion Transformers

Reference 27

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T03:24:28.729122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41ceaadc-9157-46b7-93f3-46441459d644 · outbound

This paper cites BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.708978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 999d9e0f-1103-439c-bf7d-045a870eba2d · outbound

This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation MagicDrive: Street View Generation with Diverse 3D Geometry Control

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.757311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9df848c6-6da6-412b-9248-af61866bb6dd · outbound

This paper cites MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.748512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00c5a8e9-88fb-476e-af31-c4d6734c5b41 · outbound

This paper cites Panacea: Panoramic and controllable video generation for autonomous driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Panacea: Panoramic and controllable video generation for autonomous driving

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.910382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80bb13e2-45a9-4f4f-bb34-15bf9b771bc8 · outbound

This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Vista: A generalizable driving world model with high fidelity and versatile controllability

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.901999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37fed5c2-9b1e-4fee-a69b-16b706370c59 · outbound

This paper cites Drivedreamer-2: Llm-enhanced world models for diverse driving video gen- eration.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Drivedreamer-2: Llm-enhanced world models for diverse driving video gen- eration

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.904075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f53ab98-4e01-497a-9ce8-829b6f96a5b6 · outbound

This paper cites UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.738593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9affd982-ddf7-4afd-a583-2f7f70ec2f1f · outbound

This paper cites Epona: Autoregressive diffusion world model for autonomous driving, 2025.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Epona: Autoregressive diffusion world model for autonomous driving, 2025

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.906099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5dba6ae1-1185-4bf8-ac26-fcd5e5e491a9 · outbound

This paper cites OmniNWM: Omniscient Driving Navigation World Models.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation OmniNWM: Omniscient Driving Navigation World Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.735903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10d56f55-9383-4979-a53f-22eb9fa5a0ff · outbound

This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.763705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ffe740f3-59ae-4a8e-bc15-a9598fae9ada · outbound

This paper cites DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.766784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90554268-bd1f-43ea-90b5-4032f29738b7 · outbound

This paper cites The waymo world model: A new frontier for au- tonomous driving simulation.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation The waymo world model: A new frontier for au- tonomous driving simulation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.914665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27a72664-5901-4fda-b5ff-514887f6b7f3 · outbound

This paper cites Gaia-3.https://wayve.ai/thinking/gaia-3/, 2026.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Gaia-3.https://wayve.ai/thinking/gaia-3/, 2026

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.894659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3eeeea9-b6c0-4be9-94a5-715c8f83d8ef · outbound

This paper cites History-Guided Video Diffusion.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation History-Guided Video Diffusion

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.726363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00a90c84-813c-44c5-8bc6-8f55d3cd5119 · outbound

This paper cites Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Panacea+: Panoramic and Controllable Video Generation for Autonomous Driving

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.760519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 010f2efd-7222-4c2e-b5a9-1ea44726ae7c · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation Masked-attention mask transformer for universal image segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.892762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 348d7afd-1b02-454a-ab22-9bc32a4706ab · outbound

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

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation High- resolution image synthesis with latent diffusion models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.897460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7416025f-af4c-40bc-bdfd-be09016817d6 · outbound

This paper cites DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-08T03:24:28.705676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ba01408-fc56-474e-b5ed-532c1c57c633 · outbound

This paper cites weather. A driving scene in city.

Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation weather. A driving scene in city

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T03:24:28.866750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 23c590ff-e841-4a1c-a4ef-18de43cd8776 · inbound

muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards cites this paper.

muSync-GS: Physics-Synchronized Driving Video Synthesis for Weather and Geometric Road Hazards Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:34:21.081433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.