Paper Citation Record · LEDGER

RoboDream: Compositional World Models for Scalable Robot Data Synthesis

As of 5 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.02577.

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

pith.paper-citation-record.v1
2606.02577 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:07:31.809341Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact9
verified fuzzy0
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0e79bae-ddc1-49e8-b2a4-f4efb1c97f52 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e88fc1-653f-4d22-902d-85c9acc15595 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Octo: An Open-Source Generalist Robot Policy

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.600651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de907b87-da99-4092-898c-47e31cbf634d · outbound

This paper cites Data Scaling Laws in Imitation Learning for Robotic Manipulation,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Data Scaling Laws in Imitation Learning for Robotic Manipulation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Observation 9da43fdf-0eba-4c7e-a302-96d0cee53123 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Observation ee8fea5f-cd8d-4989-b6fd-c16eb4df21ed · outbound

This paper cites π0.5: a vision-language-action model with open-world generaliza- tion,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis π0.5: a vision-language-action model with open-world generaliza- tion,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Observation a3987711-3844-4748-b8a5-29aa50361f8e · outbound

This paper cites A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b06f20-e167-448e-ad22-d06cfa8d2d02 · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a92df4-4063-403d-bfdb-bb5c9b123495 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeaca000-edb6-4f29-8b5b-95bd9f07de0a · outbound

This paper cites Video generation models as world simulators,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Video generation models as world simulators,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d809f15-2a16-48f3-a9a0-de3d9add1c78 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Wan: Open and Advanced Large-Scale Video Generative Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.616159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 337e17c6-796d-4863-8883-337f145eeafb · outbound

This paper cites Scaling Robot Learning with Semantically Imagined Experience,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Scaling Robot Learning with Semantically Imagined Experience,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04b3f6e-3e69-4bc6-9f9e-670eff3dd5ac · outbound

This paper cites Robo- Engine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Robo- Engine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Unavailable: canonical work link unavailable.

Observation 5e5ccfef-9020-4241-9e18-4257887c674c · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis DreamGen: Unlocking Generalization in Robot Learning through Video World Models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

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Observation ef67987e-5026-47dc-807f-0f102807e249 · outbound

This paper cites World Action Models are Zero-shot Policies.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis World Action Models are Zero-shot Policies

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.592764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 15f5ae7c-c1cb-4b54-a203-d1d51651d8d5 · outbound

This paper cites AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Observation 345e1957-2066-4b51-9860-3de82a8a0462 · outbound

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

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Cosmos World Foundation Model Platform for Physical AI

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.596752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f123676-89e6-4d67-bff7-7b3492b67c06 · outbound

This paper cites DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.605057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 020a99d7-8def-483f-8348-afa7e50228da · outbound

This paper cites Cosmos-Predict2: General-Purpose World Founda- tion Models for Physical AI,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Cosmos-Predict2: General-Purpose World Founda- tion Models for Physical AI,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

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Observation c897255c-b869-4d08-855f-02c212b0c298 · outbound

This paper cites RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153d9d4a-285e-4f11-8f01-795a0aefa13b · outbound

This paper cites OXE-AugE: A Large-Scale Robot Aug- mentation of OXE for Scaling Cross-Embodiment Policy Learning,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis OXE-AugE: A Large-Scale Robot Aug- mentation of OXE for Scaling Cross-Embodiment Policy Learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d755c8d1-ef22-47bc-987c-90c41e4df19b · outbound

This paper cites RoboVIP: Multi-view video generation with visual identity prompting augments robot manipulation.arXiv preprint arXiv:2601.05241, 2026a.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis RoboVIP: Multi-view video generation with visual identity prompting augments robot manipulation.arXiv preprint arXiv:2601.05241, 2026a

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:36:23.586820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 669e485c-0503-47d6-9d3a-e81b3c85c404 · outbound

This paper cites arXiv preprint arXiv:2505.23171 (2025).

RoboDream: Compositional World Models for Scalable Robot Data Synthesis arXiv preprint arXiv:2505.23171 (2025)

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:36:23.590502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d64c4412-d1ef-45b6-8c52-5aa23f5758c5 · outbound

This paper cites ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e0ba62-cfe3-4f77-8281-3863146feb2d · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis World Simulation with Video Foundation Models for Physical AI

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.584650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46cd9fd1-0b6f-4189-88de-68ce2a7d90bc · outbound

This paper cites Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Observation 7d1698fa-0fed-45ff-bbf4-a4cc51797d6d · outbound

This paper cites arXiv preprint arXiv:2601.16982 (2026).

RoboDream: Compositional World Models for Scalable Robot Data Synthesis arXiv preprint arXiv:2601.16982 (2026)

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:36:23.588884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0064ff85-3b87-4163-af6e-686c01c48e34 · outbound

This paper cites MimicGen: A Data Generation System for Scal- able Robot Learning using Human Demonstrations,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis MimicGen: A Data Generation System for Scal- able Robot Learning using Human Demonstrations,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f27c0ed-c627-431a-a5b2-5659ff7aa914 · outbound

This paper cites Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68ec9c25-3091-4b61-ae0e-f8e6eb4267a9 · outbound

This paper cites Demogen: Synthetic demonstration generation for data-efficient visuomotor pol- icy learning,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Demogen: Synthetic demonstration generation for data-efficient visuomotor pol- icy learning,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d41f928-8633-4301-9094-714315cfdb88 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Unavailable: canonical work link unavailable.

Observation 25f189d0-3b85-481a-90f3-b3a865fa974a · outbound

This paper cites OpenAI GPT-5 System Card.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis OpenAI GPT-5 System Card

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.608651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bfa745ef-41c9-4e75-8527-f021795a23aa · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:36:23.612462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e5bea983-f604-45d4-9d20-940a696bba78 · outbound

This paper cites OmniPaint: Mastering Object- Oriented Editing via Disentangled Insertion-Removal Inpainting,.

RoboDream: Compositional World Models for Scalable Robot Data Synthesis OmniPaint: Mastering Object- Oriented Editing via Disentangled Insertion-Removal Inpainting,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T14:07:31.809341Z

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Pith citing papers

No inbound Pith citation observations are available.