Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:28:29.177561Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 7 inbound Pith citation observations for arXiv:2511.01177.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-04T00:28:29.177561Z
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T12:30:07.629555Z
54 of 54 outbound references displayed
External citation measurements
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Observation e0468326-3cae-4647-8afc-0289ab957b7f · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation A Review of Learning-Based Dynamics Models for Robotic Manipulation
Reference 1
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Observation 452db657-552a-4371-8973-e849eb34f7f7 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation RoboPack: Learning Tactile-Informed Dynam- ics Models for Dense Packing
Reference 2
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Observation b775aa14-06c3-426f-9c47-47584179ca34 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Towards Embodiment Scaling Laws in Robot Locomotion
Reference 3
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Observation 985df8e9-b88f-48c1-92da-1b816ba702ce · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 4
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Observation 23b7fd8a-515b-4693-8e03-b1239b8602e7 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Loco- motion
Reference 5
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Observation 04950bfd-3ffe-4434-93b6-c8fc5f92c909 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos
Reference 6
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Observation 80e0673b-a34d-4be1-908b-e35055298909 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Diffusion policy: Visuomotor policy learning via action diffusion
Reference 7
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Observation 5142a9cb-1673-472c-bc9f-181f8d933514 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Learning universal policies via text-guided video generation
Reference 8
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Scaling Cross-Embodiment World Models for Dexterous Manipulation Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Reference 9
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Scaling Cross-Embodiment World Models for Dexterous Manipulation AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency
Reference 10
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Observation a874ed5b-3a81-4999-99a8-34fee172fcfc · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Reference 11
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Observation 97a44b16-0239-42ea-8659-f5d2f2485d5c · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation The GRASP Taxonomy of Human Grasp Types
Reference 12
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Observation aceb8207-5e38-4020-9378-8e1185cd04c3 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Dextreme: Transfer of agile in-hand manipulation from simulation to reality
Reference 13
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Observation df94639f-e222-47c0-b0e1-69f664efd7d1 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Learning Particle-Based World Model from Human for Robot Dexterous Manipulation
Reference 14
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Observation a189075c-09ec-4e4e-815f-f552fb765835 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation The foundation of efficient robot learning
Reference 15
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Observation 2b4a0573-6961-49e3-9ad7-5b202d523f72 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Poisson surface reconstruction
Reference 16
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Observation 4049e47e-d2c2-48a2-b7a0-cff8cf0f3ac5 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation OpenVLA: An Open-Source Vision- Language-Action Model
Reference 17
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Scaling Cross-Embodiment World Models for Dexterous Manipulation DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differen- tiable Physics
Reference 18
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Observation e521f1d2-305e-4067-be59-3b6c56901a47 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Learning Particle Dynamics for Manipu- lating Rigid Bodies, Deformable Objects, and Fluids
Reference 19
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Observation c28284d9-378b-4f30-a239-75edb74e9aa5 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Learning Visible Connectivity Dynamics for Cloth Smoothing
Reference 20
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Observation 04ea3306-e670-4809-8dd8-911f75b48711 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Contact-invariant optimization for hand manipulation
Reference 21
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Observation 9596e75f-3d21-4fb0-bb86-2f0f64231ed9 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collab- oration
Reference 22
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Observation 69a364dc-89d0-420f-856f-1d1d793d64e7 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Octo: An Open-Source Generalist Robot Policy
Reference 23
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Observation 8977a3be-ccd7-491f-ae76-b561d70b9805 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Global Planning for Contact-Rich Ma- nipulation via Local Smoothing of Quasi-Dynamic Contact Models
Reference 24
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Observation f2069918-79bf-49ea-b8c6-433a8699f9d3 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation GET-Zero: Graph Embod- iment Transformer for Zero-shot Embodiment Generaliza- tion
Reference 25
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Observation e410dc22-81b5-424c-9b7e-1ae9237936cf · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation In-hand object rotation via rapid motor adaptation
Reference 26
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Observation 12a3c874-e039-4477-8ddd-d6152a249e74 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation DexMV: Imitation Learning for Dexter- ous Manipulation from Human Videos
Reference 27
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Observation 59bdfa18-a9d4-4739-8ee4-670113dbe636 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Humanoid Policy ˜ Human Policy
Reference 28
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Observation 5f3b6340-3fa3-4181-ba41-7d0fafe7c459 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation In-hand dexterous manipulation of piecewise- smooth 3-d objects
Reference 29
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Observation ed06b745-8e16-41f9-9ed8-de87c0e64094 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Articulated hands: Force control and kinematic issues
Reference 30
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Observation 8b6b615f-56a6-4093-925b-484046c68186 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Reference 31
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Observation bbede5dc-a3c1-4cab-afe6-aa926b2514a3 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Bimanual Dexterity for Complex Tasks
Reference 32
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Observation 17521446-8097-4cf4-8aa1-6e3a1c11699a · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation RoboCook: Long-Horizon Elasto- Plastic Object Manipulation with Diverse Tools
Reference 33
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Observation 67b7a400-ff44-4a52-b55a-08a4a5588910 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks
Reference 34
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Observation 3253b83a-d8b7-4c5e-a1c4-8c13b7b300aa · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
Reference 35
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Observation 41528094-7d03-439f-b0bb-e0af77f9b70b · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Dexterous contact-rich manipulation via the contact trust region
Reference 36
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Observation 222bbbbe-21aa-4408-8f78-a6bbe2602a90 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation How to Grow a Mind: Statistics, Structure, and Abstraction
Reference 37
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Observation a0bd74d3-4928-4497-9e1e-063bef7e664b · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation
Reference 38
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Observation 4c6ac81d-0905-41b3-a1ec-8f2a1f122c4e · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations
Reference 39
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Observation a0940e5e-5e94-46ed-90d8-40e319fe63da · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Unidexgrasp++: Improving dexterous grasping policy learning via geometry-aware curriculum and iterative generalist-specialist learning
Reference 40
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Observation 965342b6-c51a-4fa3-84cd-c52589a799c7 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Dynamic-Resolution Model Learning for Object Pile Manipulation
Reference 41
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Observation b9e6e37a-9bae-4161-b979-ff7d74a14ca7 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation $\mathcal{D(R,O)}$ Grasp: A Unified Representation of Robot and Object Interaction for Cross-Embodiment Dexterous Grasping
Reference 42
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Observation 69ce21eb-ce43-4a44-b138-174629cc542c · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation CAGE: Causal Attention Enables Data-Efficient Generalizable Robotic Manipulation
Reference 43
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Observation 6af46cf4-8ac5-4e02-a635-87b4e22f4f55 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation SAPIEN: A SimulAted Part-based Inter- active ENvironment
Reference 44
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Reference 45
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Observation bfff7cb2-56ea-4e33-b610-32541b0f1085 · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Pushing the Limits of Cross- Embodiment Learning for Manipulation and Navigation
Reference 46
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Observation d8870863-0ca1-4c8f-a1f4-0545dac10ccc · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Multi-view Hand Reconstruction with a Point-Embedded Transformer
Reference 47
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Reference 48
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Scaling Cross-Embodiment World Models for Dexterous Manipulation EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos
Reference 49
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Scaling Cross-Embodiment World Models for Dexterous Manipulation DexterityGen: Foundation Controller for Unprecedented Dexterity
Reference 50
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Scaling Cross-Embodiment World Models for Dexterous Manipulation AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
Reference 51
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Scaling Cross-Embodiment World Models for Dexterous Manipulation Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling
Reference 52
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Observation 91fcf7f2-c832-4322-b84a-0947657d2b0d · outbound
Scaling Cross-Embodiment World Models for Dexterous Manipulation Dexdlo: Learning goal-conditioned dexterous policy for dynamic manipulation of deformable linear objects
Reference 53
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Scaling Cross-Embodiment World Models for Dexterous Manipulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Reference 54
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Reference 25
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Reference 86
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Reference 50
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