Paper Citation Record · LEDGER

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.13638.

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

pith.paper-citation-record.v1
2210.13638 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:46:05.270918Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T11:39:46.581124Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b915d7d4-7930-4604-a076-3210f91d4d37 · inbound

Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice cites this paper.

Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:46:05.270918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81c614a0-d13c-4e0a-b8f3-76c0da4c0cc8 · inbound

BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization cites this paper.

BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:35:59.579744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cd685cb-02c5-4808-a9b0-f5492b0cad8d · inbound

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models cites this paper.

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Reference 149

Resolution: unresolved; no resolver link, observed 2026-08-06T21:09:03.259168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e8948a-ac7d-47c4-b74d-5e1f47b1063a · inbound

DexVLG: Dexterous Vision-Language-Grasp Model at Scale cites this paper.

DexVLG: Dexterous Vision-Language-Grasp Model at Scale Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:25.009478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64884f1b-73d2-4306-b225-f07ed3e52b8c · inbound

KPGrasp: Scalable Keypoint Flow Matching for Dexterous Grasp Generation cites this paper.

KPGrasp: Scalable Keypoint Flow Matching for Dexterous Grasp Generation Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:30.893102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a0749aa1-ab6f-45e9-a6d3-44f741447d53 · inbound

AutoDex: An Automated Real-World System for Dexterous Grasping Data Collection cites this paper.

AutoDex: An Automated Real-World System for Dexterous Grasping Data Collection Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:39:46.582772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.