Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.17099.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:58:12.169386Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:14:56.831700Z
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 07135f55-a528-4a42-938d-230da5dd8c51 · inbound
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems cites this paper.
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:12.169386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82f1fad8-974b-4809-a390-5038abdde926 · inbound
Graph Navier Stokes Networks cites this paper.
Graph Navier Stokes Networks Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:13:58.215724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ebdbbb9c-7b48-4029-90eb-ab8b9d6ec6c0 · inbound
Graph Navier Stokes Networks cites this paper.
Graph Navier Stokes Networks Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:14:56.833243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.