Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.12216.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T21:09:31.783184Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T03:55:51.235328Z
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 1cefd6ef-989a-455a-a7d5-4cfdb0f3df84 · inbound
Morphology-Aware Graph Reinforcement Learning for Tensegrity Robot Locomotion cites this paper.
Morphology-Aware Graph Reinforcement Learning for Tensegrity Robot Locomotion Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:55:51.238085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 69153ec1-4e5b-44f8-bd6f-be39412ecbe9 · inbound
CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics cites this paper.
CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:09:31.783184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cb50178-7556-4738-89a1-fdc31d33ed87 · inbound
State and Trajectory Estimation of Tensegrity Robots via Factor Graphs and Chebyshev Polynomials cites this paper.
State and Trajectory Estimation of Tensegrity Robots via Factor Graphs and Chebyshev Polynomials Learning Differentiable Tensegrity Dynamics using Graph Neural Networks
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:35:58.203065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.