Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T18:49:12.203495Z
Paper Citation Record · LEDGER
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving
As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 3 inbound Pith citation observations for arXiv:2605.18137.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:08:11.100277Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact17
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation da074774-e3c2-4653-8a0b-8c8633d17e82 · outbound
This paper cites DGGT: Feedforward 4d reconstruction of dynamic driving scenes using unposed images.arXiv preprint arXiv:2512.03004.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving DGGT: Feedforward 4d reconstruction of dynamic driving scenes using unposed images.arXiv preprint arXiv:2512.03004
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.549701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a328665a-d5bc-4197-ae2f-5778691565bd · outbound
This paper cites Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving Rad: Training an end-to-end driving policy via large-scale 3dgs-based reinforcement learning
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T18:55:00.529659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 79e0cc20-5afb-46a2-af8d-61806dc08032 · outbound
This paper cites MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.549112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cac0ac7d-be71-4f94-8c74-5e2ee9961c19 · outbound
This paper cites World Models.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving World Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:55:00.559805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f5ad9255-04d4-4c09-92a7-2e9febe25a1f · outbound
This paper cites GAIA-1: A Generative World Model for Autonomous Driving.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving GAIA-1: A Generative World Model for Autonomous Driving
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:55:00.545967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 94b9d651-5378-4c76-99c6-487ac024d9c8 · outbound
This paper cites $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving $\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.543032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 68693319-ce2e-4928-8456-e3c989b05acf · outbound
This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:55:00.551928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9eb48af5-e974-47ce-8732-1c254936f804 · outbound
This paper cites ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.539550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6a087269-e8a9-4f6c-9c11-4966c26a703d · outbound
This paper cites UFO: Unifying feed-forward and optimization-based methods for large driving scene modeling.arXiv preprint arXiv:2602.20943.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving UFO: Unifying feed-forward and optimization-based methods for large driving scene modeling.arXiv preprint arXiv:2602.20943
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.556917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2515da4c-1c41-4756-9564-8a3e301262eb · outbound
This paper cites DriveDreamer: Towards real-world-driven world models for autonomous driving.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving DriveDreamer: Towards real-world-driven world models for autonomous driving
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.526881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3c21b97a-b80c-4481-ba76-2821b0e41fa1 · outbound
This paper cites 3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving 3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.530090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aa3cc825-0f40-4372-ae07-370b817be22f · outbound
This paper cites DriveLaW:Unifying Planning and Video Generation in a Latent Driving World.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving DriveLaW:Unifying Planning and Video Generation in a Latent Driving World
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:55:00.523912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5ff45c24-9e05-4d38-8604-c3a9713abc1e · outbound
This paper cites STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.566392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e0338206-b2c4-4352-b831-bf281701a2a7 · outbound
This paper cites NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos, January 2026.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos, January 2026
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.553221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2f606b5f-910d-463e-9cb4-cbcc309d07c6 · outbound
This paper cites Uni-Gaussians: Unifying Camera and Lidar Simulation with Gaussians for Dynamic Driving Scenarios.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving Uni-Gaussians: Unifying Camera and Lidar Simulation with Gaussians for Dynamic Driving Scenarios
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.523587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 620d7879-8043-4b04-8803-8535f82e84e5 · outbound
This paper cites Rethinking driving world model as synthetic data generator for perception tasks.arXiv preprint arXiv:2510.19195.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving Rethinking driving world model as synthetic data generator for perception tasks.arXiv preprint arXiv:2510.19195
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.520924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 55965c91-2228-4977-b296-9189f13767be · outbound
This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T18:55:00.526716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1f19ac54-7824-4c89-a255-abfd7ba40ed2 · outbound
This paper cites arXiv preprint arXiv:2509.23402 , year=.
Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving arXiv preprint arXiv:2509.23402 , year=
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:55:00.562956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 59464031-cbe6-4ec3-af45-1328ca8e1a59 · inbound
GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation cites this paper.
GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving
Reference 159
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:04:48.963890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e38790ce-4836-4579-875b-22290d6c099d · inbound
M$^\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming cites this paper.
M$^\text{4}$World: A Multi-view Multimodal Driving World Model for Interactive Object Manipulation and Minute-long Streaming Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T03:08:11.100277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 739811f9-eca2-4b44-8045-0bdfefc2c4e1 · inbound
Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation cites this paper.
Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation Xiaomi Auto World Model: A Joint World Model Integrating Reconstruction and Generation for Autonomous Driving
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:55:47.308820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.