Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T17:50:59.797593Z
Paper Citation Record · LEDGER
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment
As of 5 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 1 inbound Pith citation observation for arXiv:2504.18576.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T06:04:22.499402Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
76 of 76 outbound references displayed
- verified exact41
- verified fuzzy33
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c541bcf5-fbcf-4b88-ae5c-c42b3dfef504 · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.744453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 50cb4175-3ebd-441b-91b3-c4bc0f19128f · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.776728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0274046d-7a9f-4037-bde2-f6884bac9862 · outbound
This paper cites MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.755109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e524d77f-c9c9-46ff-b170-6e539386a680 · outbound
This paper cites Video generation models as world simula- tors.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Video generation models as world simula- tors
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.734333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1ec5fec8-5802-4c24-b426-6b7842e220fb · outbound
This paper cites nuscenes: A mul- timodal dataset for autonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment nuscenes: A mul- timodal dataset for autonomous driving
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.737757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 72075763-3a92-41f8-9f00-45c804b9f53f · outbound
This paper cites Egocentric vehicle dense video captioning.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Egocentric vehicle dense video captioning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.730789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 07ec21b4-f73d-4998-9320-c680a592620a · outbound
This paper cites Videocrafter1: Open diffusion models for high-quality video generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Videocrafter1: Open diffusion models for high-quality video generation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.727476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b3011141-76cb-4ef0-a18d-5d7b8ffa65b9 · outbound
This paper cites Motion-Conditioned Diffusion Model for Controllable Video Synthesis.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Motion-Conditioned Diffusion Model for Controllable Video Synthesis
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.740213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 39eb1e77-0228-4df2-911b-f524723c8380 · outbound
This paper cites Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Control-A-Video: Controllable Text-to-Video Diffusion Models with Motion Prior and Reward Feedback Learning
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.746635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2261e68e-b6c5-407c-b12f-91706e413f62 · outbound
This paper cites Seine: Short-to-long video diffu- sion model for generative transition and prediction.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Seine: Short-to-long video diffu- sion model for generative transition and prediction
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.740993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65513e27-4698-41b1-a0e2-c6752e4f1dc9 · outbound
This paper cites DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.731884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d3639ddd-d649-4eb5-b452-7acaaa550fae · outbound
This paper cites Structure and content-guided video synthesis with diffusion models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Structure and content-guided video synthesis with diffusion models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.719551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eed07f90-bb49-4cf7-a42b-cb408efa4897 · outbound
This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment MagicDrive: Street View Generation with Diverse 3D Geometry Control
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.718199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73f3295a-a53a-4968-a631-4e9e23a603b1 · outbound
This paper cites Vista: A generalizable driving world model with high fidelity and versatile controllability.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Vista: A generalizable driving world model with high fidelity and versatile controllability
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.711265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2d160113-ce40-4632-af18-5813875255ea · outbound
This paper cites Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.835186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 86454e76-ceec-4ee4-b9f0-8602b53dbee9 · outbound
This paper cites Worldgpt: Empowering llm as multimodal world model.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Worldgpt: Empowering llm as multimodal world model
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.715298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b125c01-8d02-4d49-a876-30b171bb7c18 · outbound
This paper cites DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.724798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 95fae8a7-4183-433a-b15c-307cb9c4f028 · outbound
This paper cites World models for autonomous driving: An initial survey.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment World models for autonomous driving: An initial survey
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.748156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 99829b07-8620-4827-a4a3-a9d22cffd24c · outbound
This paper cites InfinityDrive: Breaking Time Limits in Driving World Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment InfinityDrive: Breaking Time Limits in Driving World Models
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.864397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b18700b2-157e-4f46-9290-21b2ace71ba8 · outbound
This paper cites SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.706326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6f4eda9c-22d6-40d1-9867-623cc893613e · outbound
This paper cites Photorealistic Video Generation with Diffusion Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Photorealistic Video Generation with Diffusion Models
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.847724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4898aab-27c6-4291-8e3c-4dd4ddc11a48 · outbound
This paper cites World models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment World models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.703421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2c6f6f3-9cd7-497a-9711-064328e9bf52 · outbound
This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment CameraCtrl: Enabling Camera Control for Text-to-Video Generation
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.694378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 88c9db44-0f5c-4ae6-8a78-fb3a60c06803 · outbound
This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Latent Video Diffusion Models for High-Fidelity Long Video Generation
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.699920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3ffef5cc-22ef-4070-9479-b7aae8d93c00 · outbound
This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Gans trained by a two time-scale update rule converge to a local nash equilib- rium
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.691445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b255becc-7de5-4096-87c6-f70b1982766a · outbound
This paper cites Denoising diffu- sion probabilistic models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Denoising diffu- sion probabilistic models
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.695224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ce9b8e7b-e051-4f83-b0a8-ee947b1b4cdc · outbound
This paper cites Video Diffusion Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Video Diffusion Models
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.683683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 660e8fdb-18ee-419a-8cf5-22757088b637 · outbound
This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.673615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 11ef6806-0daa-4193-8a2b-1d6dee6450fa · outbound
This paper cites GAIA-1: A Generative World Model for Autonomous Driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment GAIA-1: A Generative World Model for Autonomous Driving
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.661835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c868ae8-99c0-416d-b2ac-9287cffd740a · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment LoRA: Low-Rank Adaptation of Large Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.655829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1edfbc81-ef62-4cd6-ba35-a214f04c037d · outbound
This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.679201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0db9d819-b5bb-41d5-8218-c317dea44932 · outbound
This paper cites DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.689364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef0e5092-39cf-4df4-8290-e7f40439e6e2 · outbound
This paper cites ADriver-I: A General World Model for Autonomous Driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment ADriver-I: A General World Model for Autonomous Driving
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.644904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3499af05-3870-4a26-bf10-6eb980322753 · outbound
This paper cites DiVE: DiT-based Video Generation with Enhanced Control.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DiVE: DiT-based Video Generation with Enhanced Control
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.650274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5188c8ad-28d5-4576-95ed-bbd2b9888a80 · outbound
This paper cites CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.712389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1a69d20f-c681-48f3-b8c3-9f209e9e683b · outbound
This paper cites Dreampose: Fashion video synthesis with stable diffusion.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Dreampose: Fashion video synthesis with stable diffusion
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.671052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1894530a-a81e-45c3-88e0-76825aa06410 · outbound
This paper cites Text2video-zero: Text-to- image diffusion models are zero-shot video generators.IEEE International Conference on Computer Vision (ICCV).
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Text2video-zero: Text-to- image diffusion models are zero-shot video generators.IEEE International Conference on Computer Vision (ICCV)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.674947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8caf6e55-ac9a-4ee7-b9d6-729e78555d61 · outbound
This paper cites Drivegan: Towards a controllable high-quality neural simulation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Drivegan: Towards a controllable high-quality neural simulation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.678809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3fd18643-4b44-48ce-9684-60c483cc1370 · outbound
This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment VideoPoet: A Large Language Model for Zero-Shot Video Generation
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.639429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b97e8a5f-2d37-4aea-aa14-e0fc2e385437 · outbound
This paper cites Drivingdiffusion: Layout-guided multi-view driving scenarios video genera- tion with latent diffusion model.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Drivingdiffusion: Layout-guided multi-view driving scenarios video genera- tion with latent diffusion model
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.657657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4d7749e7-349e-4cb2-87a6-1c7f259ae55d · outbound
This paper cites Seeing the future, perceiving the future: A unified driving world model for future generation and perception.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Seeing the future, perceiving the future: A unified driving world model for future generation and perception
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.623605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ec472b5-ae04-4f00-8d51-8f195fda1ea2 · outbound
This paper cites Wovogen: World volume-aware diffusion for con- trollable multi-camera driving scene generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Wovogen: World volume-aware diffusion for con- trollable multi-camera driving scene generation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.649542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 27cbe38a-cb18-4714-b0c8-45cc0d2d0a16 · outbound
This paper cites Latte: Latent Diffusion Transformer for Video Generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Latte: Latent Diffusion Transformer for Video Generation
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.633645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7368effd-67c7-4b28-99c8-03ed6ead9162 · outbound
This paper cites Driveworld: 4d pre-trained scene understanding via world models for autonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Driveworld: 4d pre-trained scene understanding via world models for autonomous driving
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.653807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1db70d7e-7e0d-4706-a974-e6e583a35ebf · outbound
This paper cites Orb-slam: a versatile and accurate monocular slam system.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Orb-slam: a versatile and accurate monocular slam system
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.666861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c6a551c-a234-4e9c-aef3-9ba8c8c331b8 · outbound
This paper cites Scalable Diffusion Models with Transformers.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Scalable Diffusion Models with Transformers
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.793778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b2c9a80-fa57-4812-b412-0c0367f74684 · outbound
This paper cites Scalable diffusion models with transformers.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Scalable diffusion models with transformers
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.723571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 072748ef-209d-4760-ad5c-41291fef23b0 · outbound
This paper cites Com- positional 3d scene generation using locally conditioned dif- fusion.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Com- positional 3d scene generation using locally conditioned dif- fusion
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.683304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b9618594-b801-4dfa-b808-15609a3e45bd · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment High-resolution image synthesis with latent diffusion models
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.699283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3cb1214f-f892-4675-bbaf-5be43978695a · outbound
This paper cites Mm-diffusion: Learning multi-modal diffusion mod- els for joint audio and video generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Mm-diffusion: Learning multi-modal diffusion mod- els for joint audio and video generation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.640839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 07123a29-1c04-410c-82a3-93cc5b23e58a · outbound
This paper cites Denoising Diffusion Implicit Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Denoising Diffusion Implicit Models
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.628356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c9235a9-3a91-4b3f-b507-eb19f1e0dc95 · outbound
This paper cites Scalability in perception for autonomous driving: Waymo open dataset.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Scalability in perception for autonomous driving: Waymo open dataset
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.636568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e7c82a57-e5cf-44da-ae32-c0988dfaf63d · outbound
This paper cites The role of world mod- els in shaping autonomous driving: A comprehensive survey.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment The role of world mod- els in shaping autonomous driving: A comprehensive survey
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.788354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 48ea7da1-321f-442e-a7c8-eaca14c9094a · outbound
This paper cites Fvd: A new metric for video generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Fvd: A new metric for video generation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.632052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a039d66a-7c9c-42a0-afee-a14999f0a304 · outbound
This paper cites OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.760892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 276dcec8-7a45-45cd-a6d2-a31b506fcd19 · outbound
This paper cites Drivedreamer: Towards real-world- drive world models for autonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Drivedreamer: Towards real-world- drive world models for autonomous driving
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.645460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 13aae856-cb42-4a42-af00-63df85253f3c · outbound
This paper cites Drivedreamer: Towards real-world- driven world models for autonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Drivedreamer: Towards real-world- driven world models for autonomous driving
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.628088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 363f0151-72db-4be5-99c9-05a657109b8b · outbound
This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.687341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de095bc1-711e-4303-98d3-1954263d3b0e · outbound
This paper cites Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Driving into the future: Multiview visual forecasting and planning with world model for au- tonomous driving
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.751512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0bc50454-2f11-47b6-9076-0a8dcb8afc88 · outbound
This paper cites MotionCtrl: A Unified and Flexible Motion Controller for Video Generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.841966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73b59f7e-4d16-4bf8-88d6-34155074e6f9 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Wan: Open and Advanced Large-Scale Video Generative Models
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.858160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f158c4d4-98bd-4695-90fb-4365ecdfec7f · outbound
This paper cites Panacea: Panoramic and controllable video generation for autonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Panacea: Panoramic and controllable video generation for autonomous driving
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.707392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d58622e9-9e7a-440e-88fe-fc603282ba8e · outbound
This paper cites HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.808604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7de718de-7e76-4c42-94d2-7ed06bc78d87 · outbound
This paper cites MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T17:51:54.782702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7d68fed2-b484-497f-b20e-96e02b410bd2 · outbound
This paper cites Generalized predictive model for autonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Generalized predictive model for autonomous driving
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.624206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 94971878-04fb-4fb9-bcc3-05149c91ada5 · outbound
This paper cites Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.818791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3afa36f0-f4de-441e-aba1-ea4e330d1edf · outbound
This paper cites Physical Informed Driving World Model.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Physical Informed Driving World Model
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.799714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 801166b3-6b6c-4024-a079-cdb183fdeacc · outbound
This paper cites DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.824683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5dde0b73-79c5-4e1e-86dc-c6f04b31c9ec · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.765763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b4efeb3-3710-472b-bcca-355e780d0970 · outbound
This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.617932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8d71349b-c8b2-42be-81e0-22e27f9b35f9 · outbound
This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T17:51:54.667776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1cccbd39-bc8c-4c80-90d8-2c935b78d819 · outbound
This paper cites BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.852710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation df02ffec-6c20-4990-8811-a3ce28a0ec0c · outbound
This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment ControlVideo: Training-free Controllable Text-to-Video Generation
Reference 75
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T17:51:54.771490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef19212a-3077-4516-81d1-4350fbb91e2c · outbound
This paper cites DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.612535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 23b7e69b-3d9e-4871-9b59-d16d1b9c8b6b · outbound
This paper cites Occworld: Learning a 3d occupancy world model for autonomous driving.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment Occworld: Learning a 3d occupancy world model for autonomous driving
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T17:51:55.620489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75f21f86-2e9c-42ab-99f9-997a204bf329 · outbound
This paper cites HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation.
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:51:54.830399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 3bc597f2-0248-4bcb-a906-0b9245f03144 · inbound
3D and 4D World Modeling: A Survey cites this paper.
3D and 4D World Modeling: A Survey DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment
Reference 134
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T06:04:22.499402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.