Paper Citation Record · LEDGER

AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.08333.

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

pith.paper-citation-record.v1
2212.08333 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:29.490778Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 44e08a1c-a7bd-42fc-b9fc-d850cc94450a · inbound

Enabling Extensible Embodied Capabilities with Tools cites this paper.

Enabling Extensible Embodied Capabilities with Tools AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:33:44.883132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0bd82bec-ce43-4443-9419-f8ee478df247 · inbound

AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding cites this paper.

AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware Understanding AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:16:59.210560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03e295d0-7f74-4d99-a33a-4cafdf7230a9 · inbound

Human Universal Grasping cites this paper.

Human Universal Grasping AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:38:44.386482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6558e8fc-24b6-44f1-940c-a85d8b6971f0 · inbound

A Few Words Go a Long Way: Language Guided Robot Policy Synthesis cites this paper.

A Few Words Go a Long Way: Language Guided Robot Policy Synthesis AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-30T12:41:24.578693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a2e1c8-9a14-4556-84b1-0f1ea285f76b · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T19:45:29.490778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.