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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:3b0af9ffac4dd69ed75b86554043f37e9145b8c216c4b76a02f442433ef9ae1b

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:cb8b6da7852b75536c220f760f677f74d1df7d56432a09fe1976ee2a876d7765

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:ebbaae6e673ac0719c6222b976d4c9c27974b7096af4194ee097c41403a63cb4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:b3529cbb2774d3d37cfcc8204e464e3c19e2d8c1e4ba90d04b31907ce3974b2c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:e032e4ec3542e892362ea9e4bbb6f6b97fa4c8c94f7908b145fb014b715b6331

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:98d96d47a84db4263db754c93d7769f201243f6b380b95629d9582f29472f296

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:6fa1633a2c60e2fca27d743c93846c1075cd19c9d4b806474c26a7abf0c39598

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:b7eeaf60e9cb4740704e953bc3d7ba96653530a6a158e4d6baaa93a3b7be9f45

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:26e29ff2a6880baefc34a11956c66fb6b2258630b9b1cb79f48caffa51277fae

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:ea978b54f71a54e90c1a4d3dace8be19ca3335a654fdfc1c6a50daf9ddbd641a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:d4924ca55fdc79ba51ce35b2653c785e1ed6be5747bd3edf48800b615eb513e7

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:dfd7c7328483e269994c2ddf7fcafab0ee6b69e834909d081327ea8b0db9dcc4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:18388d5617d620b28a358180c5dac965e77646281aa5db6cba71df85abfb3e74

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:fad381ba2b8626eb13ca89f5e5b38a3266315831c5e307b6008e381cda73de91

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:6543f908a17326bbadef32b813595a3b9734ee6261b7d6a00703f1b86e1953ab

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:0861a2588fa995fc90b5b4f828ba097adfd879e7c27e03cc8c72ff5ab79fefc0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:53a5ab0e11e66edbef9b1f4e675b2e0cfcc5bfe15bbc48fca4139a68e475fbc0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:e9bdf966b7678057b23c6a145599692665c539dce275e0a7f8db7f1fd0d5c59a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:0832e1f61b1549aae53e5181b4c90c78950c9af864af652b798e645449b041b8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:0c78686b93241a95e21e441f3f518c53216b428360bac0f093e250b1f3145cb0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:5058a25e4d0f3ae46d33ac810cd7ce6b4bc5542bbf16e4737a6a4517ae2efe8a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:a992f11c6b00d1de45be547237607ea782e21bee501fc2c8cc037267af1ca3dc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:b9ac7a20b5c99c22ce89a35bdc1e3391224d41d39055a61b90a2f46ccf1f822b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:b7d0cd8a0e611fd2fd076e2342d47c6f674f6583429611756e1ce3beb9938de3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:f6fb4657ed79db7aedd6e4492c02664cc13c4b52d0e1740d0e9aa0bc91027e08

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:33d71ac7d80c4acefe76253234c4e9d35bdfa212545662176626557d8bf7c799

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:598d37263aa6cccb3c1fbc54a70c0c0a7242cafa1f0c2de7754408b931e2e498

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:0c3abbe14bb260bb760432ce316523c3b488d0be9081d075dcf8cc0a61cd5e3c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:ea7943dd102d869a10f95c3328aa6f8cfe6a483aa10602fce146beaff6f95ac5

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:8cdf9c632faf57113f157afa0d6853f7fccfc2e752862ca19d3580a801e2760d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:463bd86733e527879f91de5e59bb3106f479383a2976ade8391368abdd789388

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:cfdfaf6fda4d2b47f46ce03a7edb9a08f9ba25a11f4b7675ffa2a9e1099d1e60

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:001e9a97cad56e335a7557f681feb55315e39ee4aa03436814f01783bd551c94

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:3a2368041a800e20f3cafdc951ba4941241bbb3e6f8e382287a5df537d795456

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:f8708ffedd61a89f0119484cde41fe6fbf3ef80aec8c692739d2af84cca0c09b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:6446ae41cfc9f4b8ac11130694573077edbd1be15b9b499204e38d263e4cc6d0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:41238b04dbe7bf91fe9ae36e52686723b69a06729d3eb59508826549cd286407

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:62bddc8a5625fde79f87b464ae8cda842a89a63c31c2b77fae5e67d96bf6f4d1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:ab659f2ac84748993683455bcb9a6ec4c13f76d84663e928426203b176d3d9a4

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:2e0618a316745aeab343dd48eba2c45d5421c4fe2767c0ac5ada06828b117c22

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:f5302fc1c7ab20ddf8fc6eb41f037f3bc9a8c47329e1c5aba801d81d91d3876c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:dc8b42a336ec089bac67cbcea0e00d37e2fd5d75f08a7941b378bf6226e9b592

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:cad7914636cbae30058f53be47f19ff743db3057cf9ddd519db3c3bd1e91ecb9

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:8df6d46d9a58e74ffeec0219c441970a42e52f1a0160d137040829989459d36c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:7bf1b4e1a4a309be36d70730c037c48f27a7579f0e87c0168ac0e1b7e797095a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-08T03:20:39.917042Z digest=sha256:383365d9cf90eb62f0e4c605178dda34b500f4bee7c05ee9ede1a881ede62250

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:34:16.554975Z digest=sha256:1900912123f14966a7a33b18c22513367450e897af1b073c022f44fb903cfd67