Paper Citation Record · LEDGER

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.11031.

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

pith.paper-citation-record.v1
2607.11031 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T07:32:05.327975Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

29 of 29 outbound references displayed

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unresolved29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5194f715-1855-4c5d-b72f-5c3f20ec7526 · outbound

This paper cites An overview of learning- based dexterous grasping: recent advances and future directions,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation An overview of learning- based dexterous grasping: recent advances and future directions,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Unavailable: canonical work link unavailable.

Observation 6bd41de2-e531-4567-9a07-4168473a116b · outbound

This paper cites DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation b5d013c1-c441-4e76-8295-abe43bf517c0 · outbound

This paper cites Gendexgrasp: Generalizable dexterous grasping,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Gendexgrasp: Generalizable dexterous grasping,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 9448b05f-b61b-4b7f-9ecd-8bfa601894f3 · outbound

This paper cites Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Dexgraspnet 2.0: Learning generative dexterous grasping in large-scale synthetic cluttered scenes,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation ff835266-d4b8-456e-b511-6a35058d705f · outbound

This paper cites Manifoundation model for general-purpose robotic manipulation of contact synthesis with arbitrary objects and robots,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Manifoundation model for general-purpose robotic manipulation of contact synthesis with arbitrary objects and robots,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 855e5682-8cc5-465e-b01e-9ca0e394581c · outbound

This paper cites Contactgrasp: Func- tional multi-finger grasp synthesis from contact,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Contactgrasp: Func- tional multi-finger grasp synthesis from contact,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 94413b30-b70a-4af4-900e-966f9a43ef92 · outbound

This paper cites D(R,O)grasp: A unified representation of robot and object interaction for cross-embodiment dexterous grasping,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation D(R,O)grasp: A unified representation of robot and object interaction for cross-embodiment dexterous grasping,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd73d19-c9aa-4072-a89a-b8ed8c32e3f8 · outbound

This paper cites Contact transfer: A direct, user-driven method for human to robot transfer of grasps and manipulations,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Contact transfer: A direct, user-driven method for human to robot transfer of grasps and manipulations,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 8790a7fc-7ba7-4e82-b816-784d7e208117 · outbound

This paper cites AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation AnyDexGrasp: General Dexterous Grasping for Different Hands with Human-level Learning Efficiency

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 819e42c2-c61c-4dd2-b544-f573c9156d6c · outbound

This paper cites Cedex: Cross-embodiment dexterous grasp generation at scale from human-like contact representations,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Cedex: Cross-embodiment dexterous grasp generation at scale from human-like contact representations,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 4321a1ac-6150-4431-8eb7-21ccdb561f31 · outbound

This paper cites Robotfinger- print: Unified gripper coordinate space for multi-gripper grasp synthesis and transfer,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Robotfinger- print: Unified gripper coordinate space for multi-gripper grasp synthesis and transfer,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 6a3c1b2d-9a08-482f-b2ce-6ef5892c1622 · outbound

This paper cites T(r,o) grasp: Effi- cient graph diffusion of robot-object spatial transformation for cross- embodiment dexterous grasping,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation T(r,o) grasp: Effi- cient graph diffusion of robot-object spatial transformation for cross- embodiment dexterous grasping,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 7a8ab997-dc1f-4bac-bc4d-06c28e173198 · outbound

This paper cites Understanding urdf: A dataset and analysis,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Understanding urdf: A dataset and analysis,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 0814cd7a-8221-49e1-8151-c0b30a4dcedb · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Relational inductive biases, deep learning, and graph networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation ce96d43a-c90c-4ea4-9d32-3ec61eb82c42 · outbound

This paper cites Nervenet: Learning structured policy with graph neural networks,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Nervenet: Learning structured policy with graph neural networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation b66a2c97-4ad4-4acd-a1b9-cb3dca44352f · outbound

This paper cites Get-zero: Graph embodiment transformer for zero-shot embodiment generalization,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Get-zero: Graph embodiment transformer for zero-shot embodiment generalization,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

Source-reported events for the cited work

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Observation 9b30d241-d290-404b-b675-328f3278a50a · outbound

This paper cites Denoising diffusion probabilistic models,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Denoising diffusion probabilistic models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 46987530-ae98-49ee-bf4a-4f8a60823852 · outbound

This paper cites Flow Matching for Generative Modeling.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Flow Matching for Generative Modeling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 6b49229b-fffe-44a9-9a6e-ab4f5bb9a3e6 · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Google scanned objects: A high- quality dataset of 3d scanned household items,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 7dbaaede-e91c-47ba-911a-3a25b8f9477b · outbound

This paper cites Synthesizing diverse and physically stable grasps with arbitrary hand structures using differ- entiable force closure estimator,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Synthesizing diverse and physically stable grasps with arbitrary hand structures using differ- entiable force closure estimator,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation d761738c-47e0-488d-844c-143cb61bbcb2 · outbound

This paper cites Graspit! a versatile simulator for robotic grasping,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Graspit! a versatile simulator for robotic grasping,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Unavailable: canonical work link unavailable.

Observation dc088d9e-b2f4-4c24-a1db-6c2f83259d4d · outbound

This paper cites Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Unavailable: canonical work link unavailable.

Observation 7c0ffd55-e451-44c5-9a1b-6d94b7fb474f · outbound

This paper cites Unidexgrasp++: Improving dexterous grasping policy learning via geometry-aware curriculum and iterative generalist-specialist learning,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Unidexgrasp++: Improving dexterous grasping policy learning via geometry-aware curriculum and iterative generalist-specialist learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation f7e8c7ce-b24f-4448-9357-a74f73d76c19 · outbound

This paper cites Dex1b: Learning with 1b demonstrations for dexterous manipulation,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Dex1b: Learning with 1b demonstrations for dexterous manipulation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 20edd1c2-a74c-47be-b3b4-a3424a6b0ceb · outbound

This paper cites Dexrepnet: Learning dexterous robotic grasping network with geomet- ric and spatial hand-object representations,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Dexrepnet: Learning dexterous robotic grasping network with geomet- ric and spatial hand-object representations,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation c4117150-7d8c-4bf7-970c-979479e80633 · outbound

This paper cites Unigrasp: Learning a unified model to grasp with multifingered robotic hands,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Unigrasp: Learning a unified model to grasp with multifingered robotic hands,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 170abd3b-4efb-4e10-9e36-a64dc8066b82 · outbound

This paper cites Geometry matching for multi-embodiment grasping,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Geometry matching for multi-embodiment grasping,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 0af977b4-d782-4486-a855-a095964ac7a8 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Observation 7bfebbfd-2579-4296-9aa3-380418b48c2e · outbound

This paper cites Leap hand: Low-cost, efficient, and anthropomorphic hand for robot learning,.

GraspGraphNet: Graph-Structured Multi-Embodiment Dexterous Grasp Generation Leap hand: Low-cost, efficient, and anthropomorphic hand for robot learning,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T07:32:05.327975Z

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Pith citing papers

No inbound Pith citation observations are available.