Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.08956.
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 2026-08-02T09:07:17.415379Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 2fd91525-ab67-4dcf-80b6-ba57ce01573e · inbound
Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses cites this paper.
Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:07:17.301948Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79f7ce09-512d-430e-bf36-02c113891c1d · inbound
Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses cites this paper.
Scale-Aware Learning of Chaotic Dynamics on Unstructured Meshes via Binned Spectral Losses GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-02T09:13:25.638699Z
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.