Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:32.112739Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 5 inbound Pith citation observations for arXiv:2505.18650.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:32.112739Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:47:00.052139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T06:31:01.231508Z
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ff8ec79e-c646-4faf-979c-b329c95cdaec · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Lumiere: A Space-Time Diffusion Model for Video Generation
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 595c10fa-b923-4a7b-a05e-9ab37d1921e0 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 2
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Unavailable: canonical work link unavailable.
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Align your latents: High-resolution video synthesis with la- tent diffusion models
Reference 3
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Ge- nie: Generative interactive environments
Reference 4
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Observation 9b2f1c90-5f5d-4938-82fc-d9a26b6af05d · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Training sequence visualization
Reference 5
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Carla: An open urban driv- ing simulator
Reference 6
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Reference 7
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Reference 8
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Observation 88228d0e-3477-4199-b0c1-919ec931778b · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Recurrent world models facilitate policy evolution.NIPS, 31, 2018
Reference 9
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Observation b17a4f3b-aaa7-4159-b203-f5a249d9fc9f · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos World Models
Reference 10
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Observation d57bfd1e-79b6-46d9-b430-3dc84dfaa1bb · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Dream to Control: Learning Behaviors by Latent Imagination
Reference 11
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Observation 2750b81b-0c48-4d3d-a591-eac56eb836d3 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Mastering Atari with Discrete World Models
Reference 12
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Observation 7fb3b985-1ab7-4181-9cd8-2099ea8c77d5 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Mastering Diverse Domains through World Models
Reference 13
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Observation da58873e-0253-4ecd-8333-c22e084f68e1 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos The prediction results from different low-level control actions
Reference 14
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Observation bf87d30a-c5f9-4b2d-8cb2-addf54b105c6 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Denoising diffu- sion probabilistic models.NIPS, 33:6840–6851, 2020
Reference 15
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Observation eaea6781-c006-4778-b324-b67a80728f98 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Model-based imitation learning for urban driving.NIPS, 35:20703–20716, 2022
Reference 16
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Observation 8e8b9fb7-c703-442f-8b06-47225aad1d61 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos GAIA-1: A Generative World Model for Autonomous Driving
Reference 17
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Unavailable: canonical work link unavailable.
Observation fb12fabc-62be-4408-9d9a-775a072f9176 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos ADriver-I: A General World Model for Autonomous Driving
Reference 18
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Observation d989e58a-1399-4977-9c87-6193fbb84803 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Drivegan: Towards a controllable high-quality neural simulation
Reference 19
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Observation 087b60be-5bed-4cbf-a627-fb659b04780c · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos VideoPoet: A Large Language Model for Zero-Shot Video Generation
Reference 20
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Observation 556d7ddb-42c7-40b7-adfe-b2899e168558 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos A path towards autonomous machine intelli- gence version 0.9
Reference 21
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Observation 13b9d563-4728-4671-9fc4-c481f10cafad · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model
Reference 22
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Observation c3f29ed5-9f45-4641-99c7-76420f52ef65 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Learning to model the world with language
Reference 23
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Observation 63cf608a-af9f-4d6d-949c-310b5852c5f1 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Learning to model the world with language
Reference 24
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Observation 057d6e09-d41d-4787-b7c5-f1389e6f676c · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Sora technical report
Reference 25
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Observation b39b2c4c-8420-4344-bfce-08ecfb75d86d · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
Reference 26
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Observation 282b65bb-b120-402a-b625-7d4d856c1b08 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos High-resolution image syn- thesis with latent diffusion models
Reference 27
Source-reported events for the cited work
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Observation 5ee87003-764e-47b7-ada1-de356248678d · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos The optimal control of partially observable markov processes over a finite horizon.Operations research, 21(5):1071–1088, 1973
Reference 28
Source-reported events for the cited work
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Observation bcb686dd-6cdb-4121-9264-0038adfb985a · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Scalability in perception for autonomous driving: Waymo open dataset
Reference 29
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Observation 600fe287-358e-4acc-8640-28b23aa8ec7b · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos DeepMind Control Suite
Reference 30
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Observation e2a8cc88-d8a1-4c8d-b245-3b0af3bd0ec9 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 31
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Observation 72783f9d-54a3-4aa8-bf65-9b1eacc1b508 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
Reference 32
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Observation b13e568a-6c3f-4813-804c-495f1e864233 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
Reference 33
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Observation a403d5d3-3523-41dc-97ee-a0e3898b796d · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Reference 34
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving
Reference 35
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
Reference 36
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Observation bfda184d-2893-4254-8eb8-52e9373e0b90 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Unresolved cited work
Reference 37
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Observation eb6e2854-ea9c-451b-a6b2-b3f1898ee0d4 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Generalized predictive model for autonomous driving
Reference 38
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Observation 4b1b0b94-42de-46c7-af5d-88b03c1ce5f2 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 39
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation
Reference 40
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ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
Reference 41
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Observation 184f5428-957a-4bc2-8a4b-965dec18d78b · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Llava- next: A strong zero-shot video understanding model, 2024
Reference 42
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Observation a2b76419-530c-4dbf-9aad-08a1a6726ab5 · outbound
ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Reference 43
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Observation ef6585e4-e1d8-421c-99ff-842c66a39ef9 · inbound
LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
Reference 29
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Observation 9dad5e03-0889-41ef-8672-4ce4ecff1b73 · inbound
WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
Reference 103
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Observation 0d6055eb-a7c1-4f8e-9bfe-a2094f63188b · inbound
LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
Reference 52
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Observation 27eac14a-1150-47a6-b3b3-1907e13d1ac2 · inbound
ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
Reference 49
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UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos
Reference 18
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