Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.09818.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T06:05:09.961539Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T20:55:52.245875Z
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 48441c4c-b169-4337-a30d-821e03fa624e · inbound
RoboGrasp: A Universal Grasping Policy for Robust Robotic Control cites this paper.
RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T06:05:09.961539Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52f48e7c-0d4b-4941-84af-3ac2b2aabe11 · inbound
GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data cites this paper.
GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:55:52.247891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8c78a7e7-5e1b-4ecc-89fe-ff7a785ef2b3 · inbound
Spatial RoboGrasp: Generalized Robotic Grasping Control Policy cites this paper.
Spatial RoboGrasp: Generalized Robotic Grasping Control Policy Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:45.335803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3e103d5-bcd7-4c99-a586-9ac318fe8d39 · inbound
RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping cites this paper.
RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:32:25.191481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.