Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:50:17.695217Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 6 inbound Pith citation observations for arXiv:2412.08468.
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 2026-08-11T17:50:17.695217Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:29:27.315080Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:09:37.800286Z
65 of 65 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation de8fafee-2940-4276-a72b-ba20588fc769 · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation GPT-4 Technical Report
Reference 1
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Observation 6c731b5b-1f25-4dcc-bdc3-6a32d429ee4b · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexterous hand series
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Observation 251e9f3e-f154-498d-b7a8-87758380bf37 · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation ShapeNet: An Information-Rich 3D Model Repository
Reference 3
Source-reported events for the cited work
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Observation 04a07e92-92fa-43b2-b85d-ef9a45c78aab · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Ll3da: Visual interactive instruction tuning for omni-3d understand- ing reasoning and planning
Reference 4
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Observation f38ae47c-8247-4372-9a77-357075645662 · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Gonzalez, Ion Stoica, and Eric P
Reference 5
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Acronym: A large-scale grasp dataset based on simulation
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Diffusion- based generation, optimization, and planning in 3d scenes
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Openclip
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexterous hand series
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Observation e13f26e2-ff39-4471-93f5-972efdc42e37 · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation GraspSplats: Efficient Manipulation with 3D Feature Splatting
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Observation 462d9fb8-40ef-4da0-bca4-24f08c9671a3 · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation ADriver-I: A General World Model for Autonomous Driving
Reference 13
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Observation 04c23f2f-06ee-4d2c-94ef-33ac15cdd212 · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Hand-object contact consistency reasoning for human grasps generation
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation 3d gaussian splatting for real-time radiance field rendering
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation OpenVLA: An Open-Source Vision-Language-Action Model
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Semgrasp : Semantic grasp generation via language aligned discretization
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Synthesizing diverse and physically stable grasps 9 with arbitrary hand structures using differentiable force clo- sure estimator
Reference 23
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Reference 24
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Isaac gym: High performance GPU based physics simulation for robot learning
Reference 25
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World
Reference 26
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Nerf: Representing scenes as neural radiance fields for view syn- thesis
Reference 27
Source-reported events for the cited work
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Observation 36337b08-5057-4ef7-b83c-da9f7d73c19b · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Graspit! a versatile simulator for robotic grasping
Reference 28
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Observation ea240f88-e2e3-4b9d-8c8f-22b27abb65ff · outbound
Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation 6-dof graspnet: Variational grasp generation for object manipulation
Reference 29
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Reference 30
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Reference 31
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Reference 32
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Reference 33
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Affordancellm: Grounding affordance from vision language models
Reference 34
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Reference 35
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Reference 36
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexterous hand series
Reference 38
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Meshgpt: Generating triangle meshes with decoder-only transformers
Reference 39
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Reference 40
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Contact-graspnet: Efficient 6-dof grasp gen- eration in cluttered scenes
Reference 41
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Reference 42
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Reference 43
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation LLaMA: Open and Efficient Foundation Language Models
Reference 44
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Reference 45
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Fast-grasp’d: Dexterous multi-finger grasp generation through differentiable simulation
Reference 46
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Reference 47
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Reference 48
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Dexgraspnet: A large- scale robotic dexterous grasp dataset for general objects based on simulation
Reference 49
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Learning human-like functional grasping for multi-finger hands from few demonstrations
Reference 50
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Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation Approx- imate convex decomposition for 3d meshes with collision- aware concavity and tree search.ACM Transactions on Graph- ics (TOG), 41(4):1–18, 2022
Reference 51
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Reference 52
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Reference 53
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Reference 54
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Reference 55
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Reference 56
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Reference 57
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Reference 58
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Reference 59
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Reference 60
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Reference 61
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Reference 62
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Reference 63
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Reference 64
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Reference 65
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Reference 2023
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Reference 27
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Reference 175
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Observation c9295256-683e-4b39-9f8a-5ca5f1a1e573 · inbound
Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer Multi-GraspLLM: A Multimodal LLM for Multi-Hand Semantic Guided Grasp Generation
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