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Paper Citation Record · LEDGER

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos

As of 13 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.

pith.paper-citation-record.v1
2505.18650 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:32.112739Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:47:00.052139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:31:01.231508Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff8ec79e-c646-4faf-979c-b329c95cdaec · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:27.636803Z digest=sha256:98bbb10e4959d972608fadc5def9ddb3e377146535ffaf18217e97a627e97fbc

Observation 595c10fa-b923-4a7b-a05e-9ab37d1921e0 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

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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source=pdf_text observed=2026-08-07T14:31:27.731461Z digest=sha256:82a27fd83483d778bcec630d89be104ab629aa5b6badc6fdb99ceae4dba2360a

Observation b1cb5979-f30c-4366-958e-c6eee20ed85b · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:36.293562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:27.818864Z digest=sha256:2f9c472bddc9793a02f76723fadf51de439445187689416672c6294d60199c91

Observation f291e126-7b66-4bd2-af4d-f53f0ab69881 · outbound

This paper cites Ge- nie: Generative interactive environments.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Ge- nie: Generative interactive environments

Reference 4

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raw_fallback, observed 2026-08-07T14:31:36.048631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:27.928724Z digest=sha256:f31dd23606b6c481bd5b898edc02969c4b9b289c90c6b897cccca515cbed4f89

Observation 9b2f1c90-5f5d-4938-82fc-d9a26b6af05d · outbound

This paper cites Training sequence visualization.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Training sequence visualization

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T14:31:35.770076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:28.032985Z digest=sha256:1bf0104082250a2b1580870215775434751098b2df4c0c32c309cb41e5c404e7

Observation afc40e1e-38e6-4110-8b3f-fcbc2a61c217 · outbound

This paper cites Carla: An open urban driv- ing simulator.

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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raw_fallback, observed 2026-08-07T14:31:35.556636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:28.161630Z digest=sha256:b7aa53ba01d95d8511f554c2e638ddfe0d6a36ab3c87a5834ea90b1dbd689402

Observation ee68233b-2757-4186-a9e1-56c4c2c33876 · outbound

This paper cites Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:28.281391Z digest=sha256:4f2b3b2c7180f353852752e3bb1f5da4cc18e0782e2f5540e9bcaa64a52b09ee

Observation a6501d58-ff69-490f-a201-063f62befe34 · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

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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source=pdf_text observed=2026-08-07T14:31:28.361091Z digest=sha256:cbcfc943f280c9867a3228162c577a3b433696ac7a096fc32cf5575947ac838f

Observation 88228d0e-3477-4199-b0c1-919ec931778b · outbound

This paper cites Recurrent world models facilitate policy evolution.NIPS, 31, 2018.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Recurrent world models facilitate policy evolution.NIPS, 31, 2018

Reference 9

Resolution
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raw_fallback, observed 2026-08-07T14:31:35.438726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:28.504646Z digest=sha256:44681629c73091717bf2d7cc978f3ae9db899bed8da3f5d551b866d401d45f3d

Observation b17a4f3b-aaa7-4159-b203-f5a249d9fc9f · outbound

This paper cites World Models.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos World Models

Reference 10

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source=pdf_text observed=2026-08-07T14:31:28.598644Z digest=sha256:469c58dd3be3ba4c2eba568061ee5cca7975fb59be08549bc33219b842e5002d

Observation d57bfd1e-79b6-46d9-b430-3dc84dfaa1bb · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

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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source=pdf_text observed=2026-08-07T14:31:28.709586Z digest=sha256:a76047f5807d2d64cb257644a115b6b72cb08ebcb8b36856cda72ded954dfb2e

Observation 2750b81b-0c48-4d3d-a591-eac56eb836d3 · outbound

This paper cites Mastering Atari with Discrete World Models.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Mastering Atari with Discrete World Models

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:28.844099Z digest=sha256:ed4014ebae00900db9b2e5ef85e35a9051ba503d48fd473032144b8dd9dc1faf

Observation 7fb3b985-1ab7-4181-9cd8-2099ea8c77d5 · outbound

This paper cites Mastering Diverse Domains through World Models.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Mastering Diverse Domains through World Models

Reference 13

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:31:28.933557Z digest=sha256:9f498574029afd37bc7cb084dfc14401eaf6a899ddb09c5b7303d21ee7ac0080

Observation da58873e-0253-4ecd-8333-c22e084f68e1 · outbound

This paper cites The prediction results from different low-level control actions.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:29.023177Z digest=sha256:66d9e3582dd84b4b80ab8784c573714c337e275be428d365ebb5c4f23d3408e3

Observation bf87d30a-c5f9-4b2d-8cb2-addf54b105c6 · outbound

This paper cites Denoising diffu- sion probabilistic models.NIPS, 33:6840–6851, 2020.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Denoising diffu- sion probabilistic models.NIPS, 33:6840–6851, 2020

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:35.176142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:29.147275Z digest=sha256:1d4ca8ee7865e6fe977c49bffc16a4064b8e1b4e9d1dbd3135332ee6f4c64e58

Observation eaea6781-c006-4778-b324-b67a80728f98 · outbound

This paper cites Model-based imitation learning for urban driving.NIPS, 35:20703–20716, 2022.

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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raw_fallback, observed 2026-08-07T14:31:35.061672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:29.236966Z digest=sha256:5fc66ce1d38b962401ae38f834476b8d11d26d67957de482811502c68d443a68

Observation 8e8b9fb7-c703-442f-8b06-47225aad1d61 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

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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source=pdf_text observed=2026-08-07T14:31:29.353475Z digest=sha256:e2cf3be1764ae9e8717d9c0e9e95f13973232e0bd47047b78a4009ce8e5108bf

Observation fb12fabc-62be-4408-9d9a-775a072f9176 · outbound

This paper cites ADriver-I: A General World Model for Autonomous Driving.

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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source=pdf_text observed=2026-08-07T14:31:29.483235Z digest=sha256:c2856c5b2770825d3e4a80f59ce4e4dd55f5e3cc687fc854f105a4bd266ee32e

Observation d989e58a-1399-4977-9c87-6193fbb84803 · outbound

This paper cites Drivegan: Towards a controllable high-quality neural simulation.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Drivegan: Towards a controllable high-quality neural simulation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:34.940330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:29.565638Z digest=sha256:959e7459a08dd92fbdb27c0ca02309a0471920af98db2f76c399f5a03811374d

Observation 087b60be-5bed-4cbf-a627-fb659b04780c · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

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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source=pdf_text observed=2026-08-07T14:31:29.713433Z digest=sha256:67e66edb326bb837d04aa285b46f3a5bb8e88454277e74480c34d2ae98d179b6

Observation 556d7ddb-42c7-40b7-adfe-b2899e168558 · outbound

This paper cites A path towards autonomous machine intelli- gence version 0.9.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos A path towards autonomous machine intelli- gence version 0.9

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:34.811873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:29.836070Z digest=sha256:d458f5f98694c5e318ac2b4453ee7cd290f4c8612510d8c99b389e37987cbcd2

Observation 13b9d563-4728-4671-9fc4-c481f10cafad · outbound

This paper cites DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model.

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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source=pdf_text observed=2026-08-07T14:31:29.939418Z digest=sha256:daf98181b8ef9e1c4fc75faf36646805d24ce6cb2e4f27b0667edb1fef9ffa5d

Observation c3f29ed5-9f45-4641-99c7-76420f52ef65 · outbound

This paper cites Learning to model the world with language.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Learning to model the world with language

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T14:31:34.654359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:30.042717Z digest=sha256:b06b47ed0005e7f5a73703572aa293a9c60eac7b78d1206656bb2dc6e7f3cccd

Observation 63cf608a-af9f-4d6d-949c-310b5852c5f1 · outbound

This paper cites Learning to model the world with language.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Learning to model the world with language

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:34.536232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:30.157804Z digest=sha256:0fa4f97267b995b717b129d41895ab8988d182365cdf664e3b166023e50dbe60

Observation 057d6e09-d41d-4787-b7c5-f1389e6f676c · outbound

This paper cites Sora technical report.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Sora technical report

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:34.396313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:30.283781Z digest=sha256:df1c541f3c2200fbefbcd53919cdde9ef37b3cf271b107148262e8097e500c2a

Observation b39b2c4c-8420-4344-bfce-08ecfb75d86d · outbound

This paper cites ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

Reference 26

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:30.407849Z digest=sha256:5193d61877f1b97a9a64d83c570704b7e0a808a52fc8b5703d208f7ad7fb1825

Observation 282b65bb-b120-402a-b625-7d4d856c1b08 · outbound

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

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos High-resolution image syn- thesis with latent diffusion models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:34.223660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:30.517402Z digest=sha256:b87ed5f0b958f764e356c1a4c0f287177bb72667e5bb4a41655a8370d736ae8e

Observation 5ee87003-764e-47b7-ada1-de356248678d · outbound

This paper cites The optimal control of partially observable markov processes over a finite horizon.Operations research, 21(5):1071–1088, 1973.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:34.061140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:30.643517Z digest=sha256:f23d7945ed91dc224bffe06394718d35d57223cfc6008dc7722539d09373adf1

Observation bcb686dd-6cdb-4121-9264-0038adfb985a · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Scalability in perception for autonomous driving: Waymo open dataset

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:33.886567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:30.768370Z digest=sha256:e5847fb6598d8b3f924eec1714b5e1e3fe61f36b0b1cd4bfa9e58e8eb660d3ff

Observation 600fe287-358e-4acc-8640-28b23aa8ec7b · outbound

This paper cites DeepMind Control Suite.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos DeepMind Control Suite

Reference 30

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no resolver link, observed 2026-08-07T14:31:30.854731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:30.854731Z digest=sha256:17b0ef119e787c6fcbff4696754b63203a6c6eea3dd38c828d3745457fb6065b

Observation e2a8cc88-d8a1-4c8d-b245-3b0af3bd0ec9 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

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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no resolver link, observed 2026-08-07T14:31:30.968359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:30.968359Z digest=sha256:e751b1ef29aee00f250cf50f073266f5905f71b69808719f0dce9559a46e1fbc

Observation 72783f9d-54a3-4aa8-bf65-9b1eacc1b508 · outbound

This paper cites MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation.

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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no resolver link, observed 2026-08-07T14:31:31.070285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.070285Z digest=sha256:5d6014568293fc2b6657e1624ce29fe0ec673cc6b282bd6c37f725092146aa01

Observation b13e568a-6c3f-4813-804c-495f1e864233 · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

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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no resolver link, observed 2026-08-07T14:31:31.195661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.195661Z digest=sha256:7c7caaf837b4b3a1bb83e128c7f62a1ecf48ac9ce828d91458c8e16913a8239e

Observation a403d5d3-3523-41dc-97ee-a0e3898b796d · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

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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no resolver link, observed 2026-08-07T14:31:31.307028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.307028Z digest=sha256:d15e913170a770a2555a613899a3bee4d536268269da193edd815d9ae863f37c

Observation 1c101253-eb39-4a4f-b381-4443ca5cda83 · outbound

This paper cites Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving.

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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no resolver link, observed 2026-08-07T14:31:31.414215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.414215Z digest=sha256:411f7896228b5108dc6702185791c13d7fa6e5a94e10553f267b6aaccbfc2a65

Observation f88d4af6-57ee-463d-901d-b56a72e66d4b · outbound

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

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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unresolved
no resolver link, observed 2026-08-07T14:31:31.506449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.506449Z digest=sha256:768925edb384957691e70bac45ef5c8ebf7442cbfb5b6959db3132916d273449

Observation bfda184d-2893-4254-8eb8-52e9373e0b90 · outbound

This paper cites an unresolved cited work.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:31:33.693050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:31.596665Z digest=sha256:8aee35028f698a6277355574fd922e02b2f9a9796e4b4575c7d6e38e3a429b1d

Observation eb6e2854-ea9c-451b-a6b2-b3f1898ee0d4 · outbound

This paper cites Generalized predictive model for autonomous driving.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Generalized predictive model for autonomous driving

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:33.537750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:31.668692Z digest=sha256:7c8db9828dc01fd26bbd5bbae0bf6b0685eadb8d7edb50f8252ab6551fa3aaf6

Observation 4b1b0b94-42de-46c7-af5d-88b03c1ce5f2 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

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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unresolved
no resolver link, observed 2026-08-07T14:31:31.762639Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:31:31.762639Z digest=sha256:9c9bb151b3e06ca87ce40ce88887ae5fc7379b1e5089f3abfb91b14f5d9db7e1

Observation 9c532645-42f0-4310-bdaf-01193c0cffda · outbound

This paper cites NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:31.859867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.859867Z digest=sha256:4cd377eea9f5f80d02d1b088dbd29db7661f22d3f94236707dc2a2435665a1ba

Observation 580b6a68-9815-4458-9a55-c87326dc69d9 · outbound

This paper cites MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:31.955804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:31.955804Z digest=sha256:a9229b281b1e0b447f63d8edac0ea3ddbaf9900ea325356c566c7f56c3a18f71

Observation 184f5428-957a-4bc2-8a4b-965dec18d78b · outbound

This paper cites Llava- next: A strong zero-shot video understanding model, 2024.

ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos Llava- next: A strong zero-shot video understanding model, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:31:33.294676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T14:31:32.062676Z digest=sha256:bbbc69b26cb2c9ffe875255c46cef9ee95082556d40d38dcd41f4f6dc28c5525

Observation a2b76419-530c-4dbf-9aad-08a1a6726ab5 · outbound

This paper cites DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:32.112739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:32.112739Z digest=sha256:98fa82d940e9fb0142503ccdbb6e367d47ca89bc70f65e39eb1b42985c75c1e9

Pith citing papers

Observation ef6585e4-e1d8-421c-99ff-842c66a39ef9 · inbound

LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:47:00.052139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:47:00.052139Z digest=sha256:a8c6b836fe27dbebc2a7aa87dc5888c0e8869ae6e8db999cd71362fbbcc923b9

Observation 9dad5e03-0889-41ef-8672-4ce4ecff1b73 · inbound

WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T17:02:40.380078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:02:40.380078Z digest=sha256:08057054acb2cd268abc6fed84d06fac5ce9651aac09d2159a264ed5445afade

Observation 0d6055eb-a7c1-4f8e-9bfe-a2094f63188b · inbound

LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:31:01.234667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:36:38.627415Z digest=sha256:f3d74f5053d17a51b1b6b8f207c7a8cdc1ae43d48e40d51ffc76d3072c23ada9

Observation 27eac14a-1150-47a6-b3b3-1907e13d1ac2 · inbound

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation cites this paper.

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation ProphetDWM: A Driving World Model for Rolling Out Future Actions and Videos

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:26:27.488305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T06:23:22.058330Z digest=sha256:f59e3441545f7749ee24b1fbab6ca9e461110e158f9ef3db97fe8707768e5130

Observation cd9f61eb-a9c5-4a07-a724-9993149039d9 · inbound

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-11T08:19:04.131379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:19:04.131379Z digest=sha256:1848ff5c2dfe5b66ecf4a38606e426747823ea985010277b8372e28ee662303f