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Paper Citation Record · LEDGER

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.13154.

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

pith.paper-citation-record.v1
2607.13154 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:07:06.242175Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

52 of 52 outbound references displayed

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  • verified fuzzy0
  • unresolved51
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fd52a8b-a3bf-4af7-9b3e-c783920a824a · outbound

This paper cites Proceedings of The 7th Conference on Robot Learning , pages =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Proceedings of The 7th Conference on Robot Learning , pages =

Reference 1

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source=arxiv_source observed=2026-08-02T06:06:58.466232Z digest=sha256:40b254b366b85b30a757346382d905203a21badab5b685eb19f0913eaf350590

Observation 60456fd6-11b2-49d4-8aea-d39bf8e09799 · outbound

This paper cites DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning

Reference 2

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source=arxiv_source observed=2026-08-02T06:06:58.565741Z digest=sha256:9ee18cbc0b6ad7dfff7b76944f02067ad5ffe4a5f30c5f28cd74001d3654ced7

Observation e5e28db5-0875-4a24-a1be-0b3eaab75182 · outbound

This paper cites 2025 , eprint =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation 2025 , eprint =

Reference 3

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source=arxiv_source observed=2026-08-02T06:06:58.612532Z digest=sha256:7f2faa1a2a9e723d7034c1493de737dcb5fe47830c3463ac6a770f0b76140cc6

Observation b612c38c-f1d0-4de6-893c-2aa5c5e743c8 · outbound

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

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware

Reference 4

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source=arxiv_source observed=2026-08-02T06:06:58.691329Z digest=sha256:10870e33a57ffcae969f6d9be1dd8d3a23e95c29eb617c8ed9e4dd2cc9f88715

Observation 65c4d250-5aa8-4381-8daa-609d66700a0a · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year =

Reference 5

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source=arxiv_source observed=2026-08-02T06:06:58.807762Z digest=sha256:120937d93ca741ad29047afd9eb130206dd40f4c7647d58e8978461f6d23acf3

Observation 63ff676a-52d9-45f5-a523-48e44bb9add7 · outbound

This paper cites BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark

Reference 6

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source=arxiv_source observed=2026-08-02T06:06:58.921549Z digest=sha256:4e077343256865fb548c526a4c80420f123c3b587930c0c4af70e4dc790371d6

Observation a842462f-8b20-48c9-8d6e-31befb3c9cde · outbound

This paper cites an unresolved cited work.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-02T06:06:59.038874Z digest=sha256:6e07b023d0432dd317c5ae422ae479e2eba9d9cee807b360da156a89f7e3e210

Observation 6962c9e6-1c7c-41dc-9370-6f4374b65cc4 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 8

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source=arxiv_source observed=2026-08-02T06:06:59.163232Z digest=sha256:79b4765a87be0d8a87ab1074038a702b45294cb1ee07e515da021e2bc60c5103

Observation 4de6156f-d7a6-413e-ba7e-6642d9778cf0 · outbound

This paper cites ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Reference 9

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source=arxiv_source observed=2026-08-02T06:06:59.248578Z digest=sha256:94561030437f742078470bfb6daf5a8034bc1429a3ef12342dac08ca351faeb3

Observation fd05cc29-9e07-4653-99c8-234fad99d2be · outbound

This paper cites 2026 , howpublished =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation 2026 , howpublished =

Reference 10

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source=arxiv_source observed=2026-08-02T06:06:59.316414Z digest=sha256:e9aa4cdf1ffb77fe12d3cd13aa9711c98d84223a505d3aa49653a06febfd8c30

Observation 3057f1c1-4527-4205-b929-73e9df50052c · outbound

This paper cites The International Journal of Robotics Research , year =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation The International Journal of Robotics Research , year =

Reference 11

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source=arxiv_source observed=2026-08-02T06:06:59.393485Z digest=sha256:1045bf856ffe2a0cbe9738df9cfe92b986148186327a6ffbbcbcc4a48821fc18

Observation be1de3a7-6be6-488e-b92d-367dfad23099 · outbound

This paper cites arXiv preprint arXiv:2510.20774 , year =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation arXiv preprint arXiv:2510.20774 , year =

Reference 12

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source=arxiv_source observed=2026-08-02T06:06:59.478802Z digest=sha256:e8e752ba36716e4701f1dc98b60b76fb43d8b386404e94093e50f736f7257279

Observation 19a73ce0-2193-4516-b35c-a7896fb564b4 · outbound

This paper cites arXiv preprint arXiv:2505.23692 , year =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation arXiv preprint arXiv:2505.23692 , year =

Reference 13

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source=arxiv_source observed=2026-08-02T06:06:59.565454Z digest=sha256:c297670fd4067f74d046140da1920e94c605c0cbe13a5cec121aa2459cc5d248

Observation e39466e1-b07f-4656-8bf9-69133b9311ec · outbound

This paper cites ICRA 2025 Workshop: Human-Centered Robot Learning in the Era of Big Data and Large Models , year =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation ICRA 2025 Workshop: Human-Centered Robot Learning in the Era of Big Data and Large Models , year =

Reference 14

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source=arxiv_source observed=2026-08-02T06:06:59.633559Z digest=sha256:8203b13e52bf1a21ff84ba836b22f91403b4606b7b55ec52994e67121c63c863

Observation 5865bde0-672f-4534-a7f3-ed3e1ee04d19 · outbound

This paper cites BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities

Reference 15

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source=arxiv_source observed=2026-08-02T06:06:59.717025Z digest=sha256:9589681f1b61633b656642475b3c14abd1ac2c39ba0abb40dc5a44d361f80ab4

Observation 7fda5673-eab8-41ea-a6a6-9d14f202af26 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 16

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source=arxiv_source observed=2026-08-02T06:06:59.804730Z digest=sha256:a5485643769199402119106da3d54763927c44f9fcba3dca2733352d7142c048

Observation 91a8ad82-233d-4373-816a-f84753dd2931 · outbound

This paper cites 8th Annual Conference on Robot Learning , year =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation 8th Annual Conference on Robot Learning , year =

Reference 17

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source=arxiv_source observed=2026-08-02T06:06:59.901996Z digest=sha256:ce18b6cdfeeb26a857e0082e3ca928d01e909250c4b292553880cf720986eaa2

Observation f462554b-705d-4562-8ad1-ab1ed280e0dc · outbound

This paper cites Conference on Robot Learning (CoRL) , year =.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Conference on Robot Learning (CoRL) , year =

Reference 18

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source=arxiv_source observed=2026-08-02T06:06:59.974724Z digest=sha256:17174ef15dcc63242027b04b3c6eb72a0391923a674ca1ac9d632777843efd70

Observation 3b8ab96d-0154-4c86-92ed-fc610b9b7ac7 · outbound

This paper cites MolmoAct2: Action Reasoning Models for Real-world Deployment.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation MolmoAct2: Action Reasoning Models for Real-world Deployment

Reference 19

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source=arxiv_source observed=2026-08-02T06:07:00.047773Z digest=sha256:17f249f401eeae1a40af73447e96a410c1e231358845f9f1adecfb72b6566939

Observation 8b0a94ba-7e35-4f88-b1f6-f0c77b479766 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 20

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source=arxiv_source observed=2026-08-02T06:07:00.139225Z digest=sha256:ac95dde23278f972efdc1fd4b0c1dc7957b9ce84efd7885882abe0f1db83a658

Observation 402ed96c-d32d-4d5e-98d0-468d756447a3 · outbound

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

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation World Action Models are Zero-shot Policies

Reference 21

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source=arxiv_source observed=2026-08-02T06:07:00.401046Z digest=sha256:62e05ab3a19cf122feb49ffe409fbd5787b709aa1e6b3c778d46c9b7f864fb7a

Observation a2e5ba23-b4d1-47fa-9b3a-c2bcfe52f609 · outbound

This paper cites Open-TeleVision: Teleoperation with Immersive Active Visual Feedback.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Open-TeleVision: Teleoperation with Immersive Active Visual Feedback

Reference 22

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source=arxiv_source observed=2026-08-02T06:07:01.010637Z digest=sha256:acab773285c67a8a2412c63391562b8d5b13eb3a73f7a9dc0636ca256b867244

Observation a2d17097-8165-4a3b-9f8e-9bf27e57eaec · outbound

This paper cites 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 23

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source=arxiv_source observed=2026-08-02T06:07:01.894270Z digest=sha256:96b5eb9ada17d5be88b540e0bf617629ed65b979ecd5368f33b3b87572b21d8d

Observation f490e830-b78e-44a1-b6e0-e6c861f5e185 · outbound

This paper cites HumanPlus: Humanoid Shadowing and Imitation from Humans.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation HumanPlus: Humanoid Shadowing and Imitation from Humans

Reference 24

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source=arxiv_source observed=2026-08-02T06:07:03.164996Z digest=sha256:5ad53aad6d90f1a9f8eb499931da5e5ab3dd7a7add767607b30b1b6d164b8df3

Observation 57429af8-e789-486c-b777-02513a161da8 · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 25

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source=arxiv_source observed=2026-08-02T06:07:03.330365Z digest=sha256:adca207d7f6f30902133e2fb27a73bbcd4e99274e69ffb69d47fc3f7e25c3c15

Observation ea142879-9686-4c2f-be4d-ae032317ac0a · outbound

This paper cites Conference on Robot Learning , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Conference on Robot Learning , pages=

Reference 26

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source=arxiv_source observed=2026-08-02T06:07:03.424839Z digest=sha256:b67dde0c3358fa7ac747b0a17e4a3ce6eb9db64bbb318f2371ea20ad67a2764e

Observation b664d1a8-fd53-4c35-8ddd-e6565f0b328f · outbound

This paper cites HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations

Reference 27

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source=arxiv_source observed=2026-08-02T06:07:03.486035Z digest=sha256:82bdf770be21624151fb3e0676e8cdbab9cec11fc99f4f337b38383f549175c1

Observation f142aa75-86ea-4c89-9841-7b676c6d8d7a · outbound

This paper cites arXiv preprint arXiv:2602.03310 , year=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation arXiv preprint arXiv:2602.03310 , year=

Reference 28

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source=arxiv_source observed=2026-08-02T06:07:03.569054Z digest=sha256:7e80dbe641f9206c82cb47b1107859509c81cd5a74797794dbe494be7b0defe6

Observation 6b820b55-b12c-401e-944a-01f13d8e525b · outbound

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

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 29

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source=arxiv_source observed=2026-08-02T06:07:03.649115Z digest=sha256:1ce06adfe3dc8912d0d7c448f1c6223681dbfc2a755714e3d50c75172effd8e2

Observation a3136248-1b6d-4b17-8379-a47f35f20f55 · outbound

This paper cites 2025 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation 2025 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 30

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source=arxiv_source observed=2026-08-02T06:07:03.728679Z digest=sha256:c6d146a3042c4597dee1ab8cd39786ecddb68024aa1a135622cd7d0bf75b1378

Observation 426caa9d-42cc-4cbe-bb81-f49ab1a32a9f · outbound

This paper cites ICRA 2026 Workshop on Synthetic Data for Robot Learning , year=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation ICRA 2026 Workshop on Synthetic Data for Robot Learning , year=

Reference 31

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source=arxiv_source observed=2026-08-02T06:07:03.807438Z digest=sha256:c454f6c18fc996ff4fc6698e444f5c751ce8ac302f38ea9887c02de17b23ecf1

Observation ca710028-af43-47f4-9ea3-549784882440 · outbound

This paper cites R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation R2RGEN: Real-to-Real 3D Data Generation for Spatially Generalized Manipulation

Reference 32

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source=arxiv_source observed=2026-08-02T06:07:03.957395Z digest=sha256:f9038997cebc11bde3a0e2fc2df6117413ad479f79f6b4143374c338f21c7952

Observation cfe9397b-3ade-4a57-bd00-264022b3a299 · outbound

This paper cites arXiv preprint arXiv:2512.19402 , year=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation arXiv preprint arXiv:2512.19402 , year=

Reference 33

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source=arxiv_source observed=2026-08-02T06:07:04.091818Z digest=sha256:0016a79230382c5ba291c99ab7f8083580dd28d9d8eac82a2bbb57e2d6836c82

Observation 2bec4212-1d62-4ae1-afb8-5e590c1151e3 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 34

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source=arxiv_source observed=2026-08-02T06:07:04.220889Z digest=sha256:7abaa67077609f8feb443fe0bdf60755ba579c95e55e90a14fa489b7ac072548

Observation fdd678ef-8f1e-4c86-a0f5-47d0ae55b22c · outbound

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

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 35

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source=arxiv_source observed=2026-08-02T06:07:04.331925Z digest=sha256:e228dd4baa40445a76c4b525310f8c836cbc958831701698cbb8a5a73581d305

Observation 0837efe1-d905-45f9-b6bb-bbcb22ac159f · outbound

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

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 36

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source=arxiv_source observed=2026-08-02T06:07:04.461763Z digest=sha256:37db7ae300e5fec96af5192861401536722bc79b9ffe92a85bfb8c900b4ab78c

Observation 53d67c26-d609-4eb7-bb8a-c9a8741906d3 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 37

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source=arxiv_source observed=2026-08-02T06:07:04.580114Z digest=sha256:deb2453d236b991ffea223080d5c13f3c098f6a065d18405cf12e9c10d0231de

Observation f8bfdb70-5579-4402-95de-f724987e897c · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 38

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no resolver link, observed 2026-08-02T06:07:04.719243Z

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source=arxiv_source observed=2026-08-02T06:07:04.719243Z digest=sha256:147b077fabe8b9ccb6d55cc3d89b9988a298a82ce8d33ecca5e7e9d0b2d09011

Observation df8f3c7c-2e6f-4364-aef4-04eaffbdce5e · outbound

This paper cites ACM SIGGRAPH 2024 conference papers , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation ACM SIGGRAPH 2024 conference papers , pages=

Reference 39

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source=arxiv_source observed=2026-08-02T06:07:04.853568Z digest=sha256:ca97d619f0ff322da532bcd01221b046bfcd22902565b17240d13e6a1684bac5

Observation cef38151-4883-4a3a-b0bb-d97efd39620b · outbound

This paper cites Proceedings 2000 ICRA.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Proceedings 2000 ICRA

Reference 40

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source=arxiv_source observed=2026-08-02T06:07:04.972013Z digest=sha256:14f0267d2ef7029662b9700e69960fedad6c4e08dc11ab7078c926c8b3714c3a

Observation 34366cb8-d9a1-4088-a656-a347b592dbbd · outbound

This paper cites an unresolved cited work.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-02T06:07:05.089320Z

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source=arxiv_source observed=2026-08-02T06:07:05.089320Z digest=sha256:1e2d7576205211c2c4cf641e380c988b1cd318a2b42a6f716327bc68ecfbd1ae

Observation 10713665-aafa-4260-bcba-bba09f4e9263 · outbound

This paper cites EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World

Reference 42

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no resolver link, observed 2026-08-02T06:07:05.234831Z

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source=arxiv_source observed=2026-08-02T06:07:05.234831Z digest=sha256:9de4b8453eb912e5563d970ae56a5aedd2f654548a5d4cd233678f0293e04545

Observation 1813c2ec-f7c5-4b2b-981c-a16928e2b8cd · outbound

This paper cites 2025 IEEE International Conference on Robotics and Automation (ICRA) , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation 2025 IEEE International Conference on Robotics and Automation (ICRA) , pages=

Reference 43

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source=arxiv_source observed=2026-08-02T06:07:05.398640Z digest=sha256:7e1952c19988b1a574ef3c0627de3a51f27aaf313a4a284a0549714ab84bf78f

Observation dd19566f-8381-4209-a4ce-afe8802055a9 · outbound

This paper cites arXiv preprint arXiv:2602.16710 , year=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation arXiv preprint arXiv:2602.16710 , year=

Reference 44

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no resolver link, observed 2026-08-02T06:07:05.526535Z

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source=arxiv_source observed=2026-08-02T06:07:05.526535Z digest=sha256:b43b60640fe929c0c30766cf7255c9923d7b1a1560ceff2079ab1478a654080d

Observation 64e1c502-da3a-4393-8c05-cd3918287540 · outbound

This paper cites European conference on computer vision , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation European conference on computer vision , pages=

Reference 45

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no resolver link, observed 2026-08-02T06:07:05.594013Z

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source=arxiv_source observed=2026-08-02T06:07:05.594013Z digest=sha256:746cc986d4af2c2d5ea81046804cad11cb5b310d75afcaa2ca35bc08ba561098

Observation 27a578fb-360e-4f5c-98fb-3368fa886890 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 46

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no resolver link, observed 2026-08-02T06:07:05.672245Z

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source=arxiv_source observed=2026-08-02T06:07:05.672245Z digest=sha256:6804103fd5bc9301b61cc0436729058ac187906f76b7bd5f87a45cbab50d02ec

Observation 9de3b2e1-7c4c-49a9-934c-25e1a50efc0d · outbound

This paper cites Advances in neural information processing systems , volume=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Advances in neural information processing systems , volume=

Reference 47

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no resolver link, observed 2026-08-02T06:07:05.726523Z

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source=arxiv_source observed=2026-08-02T06:07:05.726523Z digest=sha256:ea375f740613cf0d8ed6f33194f6dacb6dcd0de8fe9efa72d2efdf8eebf9b95c

Observation daebac45-9877-40da-b947-497d1255660d · outbound

This paper cites Communications of the ACM , volume=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Communications of the ACM , volume=

Reference 48

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source=arxiv_source observed=2026-08-02T06:07:05.802590Z digest=sha256:8d9a297628bf1fa295480094183e88c755c85f5931c5ab2f8ddbcea8629e4c5a

Observation c29a6810-7a16-435f-bed0-ac45422eb917 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 49

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source=arxiv_source observed=2026-08-02T06:07:05.882330Z digest=sha256:e3d86fc5318d5f0841a9fc4366f3937ed2be2ec319f8e4d7824bae05857ecf57

Observation df487a3a-16b8-40da-a65d-4bfaec4892ff · outbound

This paper cites arXiv preprint arXiv:2511.07416 , year=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation arXiv preprint arXiv:2511.07416 , year=

Reference 50

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source=arxiv_source observed=2026-08-02T06:07:05.957778Z digest=sha256:48e708a489b2704d0450c7d2641023595dd1e1f9e829624f9a1b92af4ff5eabe

Observation 021ff3dc-2534-433d-86a4-a7130b82d6dd · outbound

This paper cites arXiv preprint arXiv:2512.16881 , year=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation arXiv preprint arXiv:2512.16881 , year=

Reference 51

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source=arxiv_source observed=2026-08-02T06:07:06.070628Z digest=sha256:ee9f758c6e159d689aedc4ec5822c82ca2ffc8266cc993b18ece01495810577a

Observation d3dffbc1-63fd-437d-90d2-3f81bb543951 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Worlds in One Demo: A Synthetic Data Engine for Learning Open-World Mobile Manipulation Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 52

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source=arxiv_source observed=2026-08-02T06:07:06.242175Z digest=sha256:2a3ef4f5b086ed2c8e95259301e4c19c6ee7091b4b8caff6ab779841afa70deb

Pith citing papers

No inbound Pith citation observations are available.