Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:11:29.558490Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2604.11386.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:11:29.558490Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation cf8a3411-eb9a-4802-b48a-c28b0c7317ad · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 2
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 3
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 4
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Reference 5
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
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Source-reported events for the cited work
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Observation 9417db3b-9bb6-4a47-957f-6f008bd4a31a · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
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Source-reported events for the cited work
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Observation 4e2b7a3d-fc04-407b-a121-af33eb372b67 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation The International Journal of Robotics Research p
Reference 12
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Automated Creation of Digital Cousins for Robust Policy Learning
Reference 13
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Observation 699d5be9-998d-4ad4-b759-0b30f302d2eb · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Advances in neural information processing systems36, 9156–9172 (2023)
Reference 14
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Observation b2079bf6-1790-4289-90db-9413b9a516d2 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: The Eleventh International Conference on Learning Representations (2023)
Reference 15
Source-reported events for the cited work
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Observation c859f661-b3c2-41fe-a62d-0e13d7137cd7 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Reference 16
Source-reported events for the cited work
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Observation ad817181-4431-4f4d-9e52-bc366f64db35 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Advances in neural information processing systems30(2017)
Reference 17
Source-reported events for the cited work
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Observation f865568a-0905-4af0-bcd1-0868afbfc318 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Reference 18
Source-reported events for the cited work
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Observation 79d8556a-cc9e-4bd1-8cee-8a379d702aff · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Reference 19
Source-reported events for the cited work
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Observation eecf344c-6892-4aec-97ac-5c7dc4a992b8 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 8th Annual Conference on Robot Learning
Reference 20
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Observation fb396572-8724-4147-8c5f-50bbdb92c5a6 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Learning to Act from Actionless Videos through Dense Correspondences
Reference 21
Source-reported events for the cited work
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Observation 17801e66-25c5-455c-a2c8-d6c41bee2f28 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation arXiv (2017)
Reference 22
Source-reported events for the cited work
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Observation 24d18af1-288a-41ec-a262-3a027578fdf7 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 6th Annual Conference on Robot Learning (2022), https://openreview.net/forum?id=_8DoIe8G3t
Reference 23
Source-reported events for the cited work
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Observation 6707b904-7c09-4902-8169-9c4919e93b82 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
Reference 24
Source-reported events for the cited work
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Observation 7a6d4bcc-6db4-49e2-bb0e-129f313c8aee · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: International Conference on Machine Learning
Reference 25
Source-reported events for the cited work
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Observation 805aa075-be36-4645-83ce-6596d4c77b42 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 26
Source-reported events for the cited work
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Observation 16987b39-1c20-41ce-ba7d-affa9881e3d2 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 27
Source-reported events for the cited work
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Observation f9fd71df-51a6-46e9-91c9-7390a11aa083 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Reference 28
Source-reported events for the cited work
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Observation 773b3815-39e8-4965-864b-56c957ee6020 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation IEEE Robotics and Automation Letters (2023)
Reference 29
Source-reported events for the cited work
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Observation 365fb242-26cf-427b-8083-b66fa8509bf6 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Vanschoren, J., Yeung, S
Reference 30
Source-reported events for the cited work
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Observation d3af9dd5-c4e5-4949-a61a-9a39a57d8d1d · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 7th Annual Conference on Robot Learning (2023)
Reference 31
Source-reported events for the cited work
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Observation e12fda5d-0d8f-48b2-9ffa-0318fe3097b4 · outbound
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Reference 32
Source-reported events for the cited work
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Observation 00030127-2adf-45ed-90dd-d03e86f66eb0 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Robotics: Science and Systems (RSS) (2024)
Reference 33
Source-reported events for the cited work
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Observation 9086bf66-50f1-4553-abf8-af9bf7757558 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Cosmos World Foundation Model Platform for Physical AI
Reference 34
Source-reported events for the cited work
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Observation e8743d0c-8cdb-407b-8630-d0807e64f06f · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of Robotics: Science and Systems
Reference 35
Source-reported events for the cited work
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Observation 17f7371f-d10a-4cf2-ae18-1c1e91c3e25f · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work
Reference 36
Source-reported events for the cited work
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Observation c4ecccdd-ce1b-4320-9bc9-82edcce3ebaf · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work
Reference 37
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 38
Source-reported events for the cited work
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Observation 76e9d26a-afb5-401d-be1c-5b0d922df335 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 39
Source-reported events for the cited work
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Observation be6ec99d-1144-4c2c-b190-88eb42fd8dba · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Proximal Policy Optimization Algorithms
Reference 40
Source-reported events for the cited work
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Observation c14d481a-cafb-4a61-aa66-b1c08dd89c83 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Advances in Neural Information Processing Systems (NeurIPS) (2021)
Reference 41
Source-reported events for the cited work
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Observation acf02a8d-45ac-4d1a-9cc0-9f8f4b4f658d · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Gemini: A Family of Highly Capable Multimodal Models
Reference 42
Source-reported events for the cited work
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Observation 68d2b1a0-9bab-4b2c-b0dc-bd08e18a71e3 · outbound
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Reference 43
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation
Reference 44
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation LLaMA: Open and Efficient Foundation Language Models
Reference 45
Source-reported events for the cited work
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ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 46
Source-reported events for the cited work
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Observation 3c6319fc-d14c-4bf4-b578-c32865fd8504 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Wan: Open and Advanced Large-Scale Video Generative Models
Reference 47
Source-reported events for the cited work
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Observation 88c771be-09d7-4dcf-a954-ab757724250d · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Reference 48
Source-reported events for the cited work
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Observation c9422c2d-4d59-468b-a747-0fc7ed708d27 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control
Reference 49
Source-reported events for the cited work
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Observation 690dec58-1e27-4cf0-9d44-7164cc1146d9 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Reference 50
Source-reported events for the cited work
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Observation 3b2388c6-1d0f-48f2-9781-2662204683e0 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)
Reference 51
Source-reported events for the cited work
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Observation bcdce1be-22d6-4e59-b0bb-3f3ce2dec1fc · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
Reference 52
Source-reported events for the cited work
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Observation f26cf1b4-9453-464a-9278-4742c47f1bc7 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Learning Interactive Real-World Simulators
Reference 53
Source-reported events for the cited work
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Observation 10602388-f959-4aec-ba49-ef891fda5f7f · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 54
Source-reported events for the cited work
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Observation aa3340ee-e33a-4a2c-bff8-eedca8f03edf · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: CoRL 2024 Workshop on Whole-body Control and Bimanual Manipulation: Applications in Humanoids and Beyond
Reference 55
Source-reported events for the cited work
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Observation b7f03255-1364-4f60-889d-66e9e3b02de4 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work
Reference 56
Source-reported events for the cited work
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Observation f10a9c4b-7339-4a9b-a007-c51a2c53122f · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Scaling Robot Learning with Semantically Imagined Experience
Reference 57
Source-reported events for the cited work
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Observation a2b49d95-dd3c-4308-8bf5-e79fdfd95c56 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of Robotics: Science and Systems (RSS) (2024)
Reference 58
Source-reported events for the cited work
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Observation f7e36014-83fe-4f18-8cea-f1dcb27263c0 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation In: Proceedings of the IEEE conference on computer vision and pattern recognition
Reference 59
Source-reported events for the cited work
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Observation 46979c4f-6544-4791-9f24-2e327d2f6fcc · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Unresolved cited work
Reference 60
Source-reported events for the cited work
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Observation 584e18bf-509f-435e-ae22-864ec0d99188 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboDreamer: Learning Compositional World Models for Robot Imagination
Reference 61
Source-reported events for the cited work
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Observation 758d1b41-ee3d-4ddf-a456-ae120bcc658b · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation IRASim: A Fine-Grained World Model for Robot Manipulation
Reference 62
Source-reported events for the cited work
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Observation 02070de5-b8d7-485d-9655-fa68d8ef9d24 · outbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation Change the image style from the image style of the simulated environment to the image style captured by a DSLR camera
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
No inbound Pith citation observations are available.