Paper Citation Record · LEDGER

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

As of 19 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 10 inbound Pith citation observations for arXiv:2505.10075.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.10075 v1

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:21:30.373599Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:12:32.666189Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:35.181119Z

Reference resolution

99 of 99 outbound references displayed

verified exact0
verified fuzzy61
unresolved37
parse uncertain0
malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44c4b98c-62e3-40d8-8e19-6bfc5a2dddc7 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Cosmos World Foundation Model Platform for Physical AI

Reference 1

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Observation 227cda27-ae9b-4c77-8a3e-4f9b24331206 · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Diffusion for world modeling: Visual details matter in atari

Reference 2

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Observation c7aa28f1-f9b9-4140-a3fa-8389ad11989d · outbound

This paper cites FitVid: Overfitting in Pixel-Level Video Prediction.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation FitVid: Overfitting in Pixel-Level Video Prediction

Reference 3

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Observation 7e49a3d0-3d5a-45f5-9560-3b05b4477c5e · outbound

This paper cites Zero-shot robotic manipulation with pre-trained image-editing diffusion models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Zero-shot robotic manipulation with pre-trained image-editing diffusion models

Reference 4

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Observation c5250500-6880-46c3-827f-5da643eee60b · outbound

This paper cites A framework for the robust estimation of optical flow.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation A framework for the robust estimation of optical flow

Reference 5

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Observation bae0e3e8-bb19-4a88-a06d-9b78d7008934 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 6

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Source-reported events for the cited work

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Observation d451bc73-8561-4ac3-bf0e-1125bf5a22b8 · outbound

This paper cites Video generation models as world simulators,.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Video generation models as world simulators,

Reference 7

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Source-reported events for the cited work

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Observation 84648a4d-cfa8-4c57-beb4-529b2cac6ced · outbound

This paper cites Ge- nie: Generative interactive environments.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Ge- nie: Generative interactive environments

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d9135e-a0c2-4dbc-98cf-76d80d49ce84 · outbound

This paper cites Lucas/kanade meets horn/schunck: Combining local and global optic flow methods.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Lucas/kanade meets horn/schunck: Combining local and global optic flow methods

Reference 9

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Observation cd6f3b98-80e1-4f5c-9b08-64c76557b442 · outbound

This paper cites Se3-nets: Learning rigid body motion using deep neural networks.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Se3-nets: Learning rigid body motion using deep neural networks

Reference 10

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Source-reported events for the cited work

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Observation a098e060-2e3a-4a59-bfab-caaf4ed52741 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.013685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec930766-65f0-457d-a955-58953ff8811d · outbound

This paper cites Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Reference 12

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Observation c05e2a76-b5e9-4dea-9d0f-c3721124d488 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 13

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Observation 5f3fb60e-3f1a-4e75-8e8b-b511b28317de · outbound

This paper cites Automated Creation of Digital Cousins for Robust Policy Learning.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Automated Creation of Digital Cousins for Robust Policy Learning

Reference 14

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Observation e23ed530-8bbc-4b46-942f-b658fd98daa3 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Flownet: Learning optical flow with convolutional networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.030092Z

Source-reported events for the cited work

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Observation d5d912bf-4f60-4f8c-8c6c-12542fdeffc8 · outbound

This paper cites Learning universal policies via text-guided video genera- tion.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Learning universal policies via text-guided video genera- tion

Reference 16

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Observation 0e8e84eb-135f-4a24-8fd3-641dfd497619 · outbound

This paper cites Video language planning.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Video language planning

Reference 17

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Source-reported events for the cited work

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Observation 1fed49a2-0ce7-4807-8345-ec6d3508459f · outbound

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

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control

Reference 18

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Observation 8df6d4d4-4fd6-4ef2-9977-a095511d63ad · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 19

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Source-reported events for the cited work

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Observation 43218531-121e-421c-9807-71c42e43664c · outbound

This paper cites Deep visual foresight for planning robot motion.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Deep visual foresight for planning robot motion

Reference 20

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Source-reported events for the cited work

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Observation 0f7a310a-061a-4848-a4b9-3a202cce3dc3 · outbound

This paper cites Unsuper- vised learning for physical interaction through video predic- tion.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Unsuper- vised learning for physical interaction through video predic- tion

Reference 21

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Source-reported events for the cited work

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Observation 545ef336-696b-4fb4-b71a-5525aabf5962 · outbound

This paper cites Motion Prompting: Controlling Video Generation with Motion Trajectories.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Motion Prompting: Controlling Video Generation with Motion Trajectories

Reference 22

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Source-reported events for the cited work

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Observation 4bf28320-2b8b-49ab-ae94-39d4e779b1f1 · outbound

This paper cites Maskvit: Masked vi- sual pre-training for video prediction.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Maskvit: Masked vi- sual pre-training for video prediction

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.065088Z

Source-reported events for the cited work

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Observation 41e0fcc5-6aac-4b7e-ab27-8ef4b105eadd · outbound

This paper cites Recurrent world models facilitate policy evolution.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Recurrent world models facilitate policy evolution

Reference 24

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Observation ca87ab0a-de02-4def-8565-defe4d0bf481 · outbound

This paper cites Dream to control: Learning behaviors by la- tent imagination.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Dream to control: Learning behaviors by la- tent imagination

Reference 25

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Source-reported events for the cited work

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Observation 2c168cc8-142a-427a-867c-ba241a9cad5e · outbound

This paper cites Mastering atari with discrete world mod- els.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Mastering atari with discrete world mod- els

Reference 26

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Observation cc947675-625e-4883-9887-6238705154d6 · outbound

This paper cites Mastering Diverse Domains through World Models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Mastering Diverse Domains through World Models

Reference 27

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Observation 09a9bc8e-8e50-4d67-8860-7a4bcfb7a5d0 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 28

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Observation eda9b3b0-c321-4227-88e0-3fd73727b38a · outbound

This paper cites Tem- poral difference learning for model predictive control.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Tem- poral difference learning for model predictive control

Reference 29

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Observation 131b63b8-b2c3-4fde-91b2-753af291642d · outbound

This paper cites Controllable video generation with sparse trajectories.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Controllable video generation with sparse trajectories

Reference 30

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Observation 226c4b06-643a-4062-bd05-c5ebe392b128 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.549503Z

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Observation d744c3ed-6110-4c08-b062-84a9d55429f8 · outbound

This paper cites Denoising dif- fusion probabilistic models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Denoising dif- fusion probabilistic models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.535569Z

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Observation 024a2aa5-60b2-4696-bc50-b1cc524ba311 · outbound

This paper cites Determining opti- cal flow.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Determining opti- cal flow

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.521899Z

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Observation 5348a97e-34c6-4eff-988c-b43bf04cf2b7 · outbound

This paper cites Enerverse: Envision- ing embodied future space for robotics manipulation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Enerverse: Envision- ing embodied future space for robotics manipulation

Reference 34

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Observation 94516f87-07b7-4612-b9db-cfa669da652c · outbound

This paper cites Flowformer: A transformer architecture for optical flow.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Flowformer: A transformer architecture for optical flow

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.507978Z

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Observation c49a8b3a-6904-4b76-89fe-35e06b4e2717 · outbound

This paper cites Scope of va- lidity of psnr in image/video quality assessment.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Scope of va- lidity of psnr in image/video quality assessment

Reference 36

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Observation 5f3fddcc-acdd-4e75-97e4-0053ed35c35b · outbound

This paper cites Ditto: Building digital twins of articulated objects from interaction.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Ditto: Building digital twins of articulated objects from interaction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.475984Z

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Observation 9fb1113d-77d2-4b65-a90d-1d32e9216e4a · outbound

This paper cites Scalable scene flow from point clouds in the real world.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Scalable scene flow from point clouds in the real world

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.462147Z

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Observation ace594af-455b-4bc1-9ad7-51a1597f1ef7 · outbound

This paper cites Model based reinforcement learning for atari.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Model based reinforcement learning for atari

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.447502Z

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Observation 8590b9b8-f8cc-4353-ae8a-cbb6174b347b · outbound

This paper cites White, Sam Devlin, Cecily Morrison, and Katja Hofmann.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation White, Sam Devlin, Cecily Morrison, and Katja Hofmann

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.434524Z

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Observation 9a5f7237-db96-4065-b23e-c53c88077ce5 · outbound

This paper cites Robodesk: A multi-task reinforcement learning benchmark, 2021.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Robodesk: A multi-task reinforcement learning benchmark, 2021

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.421346Z

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Observation 8b653afc-18ee-444f-a456-aa28665c7be9 · outbound

This paper cites I can’t believe it’s not scene flow! In European Conference on Computer Vision (ECCV), 2024.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation I can’t believe it’s not scene flow! In European Conference on Computer Vision (ECCV), 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.407790Z

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Observation 7db3ffba-8878-4afc-8e28-0275c4b5608a · outbound

This paper cites Learning to act from actionless videos through dense correspondences.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Learning to act from actionless videos through dense correspondences

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.393443Z

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Observation 648c9d29-c488-46ba-a340-e3c816296c56 · outbound

This paper cites Dense optical tracking: connecting the dots.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Dense optical tracking: connecting the dots

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.380009Z

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Observation dc4c8037-c211-48d4-803a-fc6efe17b978 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 45

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Observation d4807e82-95d5-44b3-b89b-d5509effafb8 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 46

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This paper cites Learning to model the world with language.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Learning to model the world with language

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.366314Z

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Observation 0451f5a4-e14f-4714-8991-46eb6c5d1f1f · outbound

This paper cites Icp-flow: Lidar scene flow estimation with icp.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Icp-flow: Lidar scene flow estimation with icp

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.352222Z

Source-reported events for the cited work

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Observation 1d6ddd8c-0ab6-4040-87a5-8b5a7710acff · outbound

This paper cites Flownet3d: Learning scene flow in 3d point clouds.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Flownet3d: Learning scene flow in 3d point clouds

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.339030Z

Source-reported events for the cited work

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Observation 6140a8f7-5f10-422f-b822-f03ab82de173 · outbound

This paper cites An iterative image reg- istration technique with an application to stereo vision.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation An iterative image reg- istration technique with an application to stereo vision

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.325411Z

Source-reported events for the cited work

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Observation f14cc3f0-9d78-4cfc-8aed-93c7eabfaf16 · outbound

This paper cites Interactive language: Talking to robots in real time.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Interactive language: Talking to robots in real time

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.311358Z

Source-reported events for the cited work

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Observation 7b359d6b-fb8b-49c2-87a8-aa878cff991c · outbound

This paper cites Controllable animation of fluid elements in still images.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Controllable animation of fluid elements in still images

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.298143Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ef7bb9d-2c64-41ce-a50d-4790bd6980a5 · outbound

This paper cites Trans- formers are sample-efficient world models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Trans- formers are sample-efficient world models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.284298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8c3d170a-0979-4e33-b4ae-f9ceb3f0e5f3 · outbound

This paper cites Efficient world models with context-aware tokenization.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Efficient world models with context-aware tokenization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.270942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57444c04-023d-4a16-a094-59ae5634043c · outbound

This paper cites Unsupervised learning of object structure and dynamics from videos.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Unsupervised learning of object structure and dynamics from videos

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.257858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fce5583-9de3-4b3f-8e47-3f24a8478ecf · outbound

This paper cites T3vip: Transformation-based 3d video prediction.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation T3vip: Transformation-based 3d video prediction

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.244310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89f29e00-c12c-4b62-a7ea-54b297f9dd1e · outbound

This paper cites Conditional image-to-video genera- tion with latent flow diffusion models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Conditional image-to-video genera- tion with latent flow diffusion models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.230680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 194d2fc2-bcf6-4b43-b849-3c447018c015 · outbound

This paper cites Action-conditional video prediction us- ing deep networks in atari games.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Action-conditional video prediction us- ing deep networks in atari games

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.216777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation becf3557-abd9-499b-bf19-c757ae8f8ec4 · outbound

This paper cites Genie 2: A large-scale foundation world model, 2024.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Genie 2: A large-scale foundation world model, 2024

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.203039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19c4f2ee-e775-423c-a573-d8263532e482 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Film: Visual reasoning with a general conditioning layer

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.189965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dade598-a41c-4df1-9a83-6b77a3de9290 · outbound

This paper cites Vi- sion transformers for dense prediction.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Vi- sion transformers for dense prediction

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.175618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8862000-abaa-4c46-a8b2-602d4439290f · outbound

This paper cites Optical flow estimation using a spatial pyramid network.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Optical flow estimation using a spatial pyramid network

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.161397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1de7485b-d407-4c23-baaa-6a387971753b · outbound

This paper cites AVID: Adapting Video Diffusion Models to World Models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation AVID: Adapting Video Diffusion Models to World Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.230044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f103368-9a6f-4ef0-8d1c-e41c809fc1eb · outbound

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

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation High-resolution image synthesis with latent diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.147922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69dd3f32-382f-465c-9b10-d19ed8c8abb4 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation U- net: Convolutional networks for biomedical image segmen- tation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.134014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ff5fd35-4619-4db5-814d-adc5b52c2b61 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Mastering atari, go, chess and shogi by planning with a learned model

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.120533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7bf75c3d-7aed-41a0-80e9-388ab105925c · outbound

This paper cites Videoflow: Exploiting temporal cues for multi-frame optical flow estimation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Videoflow: Exploiting temporal cues for multi-frame optical flow estimation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.107388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9fe4bd89-883e-4616-8a9d-8f34ed3851b6 · outbound

This paper cites Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.094221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2206c279-74a1-46c8-a09d-72b5f8815e80 · outbound

This paper cites Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.081209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f00ab4ab-eeeb-4b26-b4c5-a1cba475d418 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.067025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f705657d-9d27-4e31-84f0-72e0a258ae91 · outbound

This paper cites Denoising Diffusion Implicit Models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Denoising Diffusion Implicit Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.261696Z

Source-reported events for the cited work

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Observation 41421e7e-b6f3-4f51-a946-31d55dd9ace9 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.053043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37595825-501f-4eb6-b068-dd5d6d166fd4 · outbound

This paper cites Learning latent dynamic robust representations for world models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Learning latent dynamic robust representations for world models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.039478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6cc7951-c324-4dee-b2b9-a5acb0cd0c98 · outbound

This paper cites Dyna, an integrated architecture for learn- ing, planning, and reacting.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Dyna, an integrated architecture for learn- ing, planning, and reacting

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.025718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbf8e491-8412-4916-b3c2-19c44c197556 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Raft: Recurrent all-pairs field transforms for optical flow

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:31.012790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34857b8e-7eab-4fd6-86d7-e7e334613891 · outbound

This paper cites Raft-3d: Scene flow using rigid- motion embeddings.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Raft-3d: Scene flow using rigid- motion embeddings

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.999368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f483528-2e52-4c92-8c8f-ec26399a71fe · outbound

This paper cites A control- centric benchmark for video prediction.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation A control- centric benchmark for video prediction

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.984999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9319824e-b33a-4f45-8d8a-9ef7e97dd8ef · outbound

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

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.287523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89ea8f3-8d3a-490a-9a83-eeafa0c806c2 · outbound

This paper cites Diffusion Models Are Real-Time Game Engines.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Diffusion Models Are Real-Time Game Engines

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.291678Z

Source-reported events for the cited work

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Observation 034c7519-c249-4fce-8034-15169992d65a · outbound

This paper cites Neural discrete representation learning.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Neural discrete representation learning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.971903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6603996d-2ab2-4d24-860b-34adcd6d7707 · outbound

This paper cites Zeroflow: Scalable scene flow via distillation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Zeroflow: Scalable scene flow via distillation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.959127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9369996e-8fa2-466d-b638-9eb3402df174 · outbound

This paper cites Three-dimensional scene flow.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Three-dimensional scene flow

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.946047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b94d819-333b-4f30-bd76-e15747f7646e · outbound

This paper cites High fidelity video prediction with large stochastic recurrent neural networks.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation High fidelity video prediction with large stochastic recurrent neural networks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.933974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b46f5d1-27fa-405e-a903-a69e38e34ce6 · outbound

This paper cites Mcvd-masked conditional video diffusion for prediction, generation, and interpolation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Mcvd-masked conditional video diffusion for prediction, generation, and interpolation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.920854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25a667cc-af01-4824-9904-b44c19238678 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Image quality assessment: from error visibility to structural similarity

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.907254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ea8f3ba-3f66-4530-aad0-8a4eb2aba618 · outbound

This paper cites Attention is all you need.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Attention is all you need

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.894277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7d5b110-b1d0-497a-b5bd-6cd4ad8c2dba · outbound

This paper cites ivideogpt: Interactive videogpts are scalable world models.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation ivideogpt: Interactive videogpts are scalable world models

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.877440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4918b87d-0333-46e6-81f1-f66eb6f87021 · outbound

This paper cites Daydreamer: World models for physical robot learning.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Daydreamer: World models for physical robot learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.859307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f053bc1-3302-47b7-a540-4d040e50abf3 · outbound

This paper cites Spatialtracker: Tracking any 2d pixels in 3d space.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Spatialtracker: Tracking any 2d pixels in 3d space

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.844783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75860f9e-13d9-411c-a194-4aefdcfcb6ee · outbound

This paper cites Flow as the cross-domain manipulation interface.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Flow as the cross-domain manipulation interface

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.831285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73183cf8-4207-4ff2-9ef7-fc6dc1bad909 · outbound

This paper cites Learning 3d dynamic scene representations for robot manip- ulation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Learning 3d dynamic scene representations for robot manip- ulation

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.816893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa78dad5-0e02-4be3-a6bf-063f3be1c1a1 · outbound

This paper cites V olumetric correspon- dence networks for optical flow.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation V olumetric correspon- dence networks for optical flow

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.802042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d02a7a27-5153-460c-b07b-2266918ac778 · outbound

This paper cites Depth any- thing v2.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Depth any- thing v2

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.787644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57b3ad9b-65b9-4903-800f-737309917543 · outbound

This paper cites Learning interactive real-world simulators.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Learning interactive real-world simulators

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.774697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4719c483-8347-4dc7-83dd-123aa1dcce68 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation The unreasonable effectiveness of deep features as a perceptual metric

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.761058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e4d9462-7d0d-4b12-87f6-f64f046e129d · outbound

This paper cites 3d- vla: A 3d vision-language-action generative world model.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation 3d- vla: A 3d vision-language-action generative world model

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.746717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb147730-facd-4ee8-8801-313b140d3d28 · outbound

This paper cites Robodreamer: Learning com- positional world models for robot imagination.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation Robodreamer: Learning com- positional world models for robot imagination

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:21:30.732228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f402ccc-50c7-497d-bf24-fec9de1bd8a2 · outbound

This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T21:21:30.368427Z

Source-reported events for the cited work

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Observation 0541c6ab-4558-4a53-bc07-a4f6fb158953 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 99

Resolution: malformed identifier; no resolver link, observed 2026-08-15T21:21:30.373599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b6a5708a-5c97-41da-8c86-52f804264969 · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T09:12:32.666189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246f269a-3d03-4f91-a23c-4bdcb54358fb · inbound

Action Images: End-to-End Policy Learning via Multiview Video Generation cites this paper.

Action Images: End-to-End Policy Learning via Multiview Video Generation FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:50:53.369907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17b37493-ab6f-45bb-9a25-610c2310a3f6 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:02:17.737197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf17249d-a9d9-47dd-9a91-54730ead7375 · inbound

DSSP: Diffusion State Space Policy with Full-History Encoding cites this paper.

DSSP: Diffusion State Space Policy with Full-History Encoding FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:21:24.445205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10e7a30d-2167-4595-823a-2bf810a40ab1 · inbound

CAPE: Contrastive Action-conditioned Parallel Encoding for Embodied Planning cites this paper.

CAPE: Contrastive Action-conditioned Parallel Encoding for Embodied Planning FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:18.297469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0bffa9b-207a-42dc-be05-dca7e16ac36a · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:09:35.183237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12de4ba8-d7ef-49b5-9956-e04b5991de30 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:53.628642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7b43afa-b27b-4b82-a31a-822fdee017e4 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:55.093811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42cf1abc-026a-4cfd-87a4-bfe02fac09ac · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T09:15:00.615740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec63a684-df54-4bc1-8b7c-87efe7fd09c3 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:18:01.299890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.