Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpolating neural network: A novel unification of machine learning and interpolation theory
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.10296.
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 2026-08-07T14:38:21.680755Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:30:55.563769Z
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 3c23c302-0285-43bf-9cff-c95756c853b1 · inbound
INN-FF: A Scalable and Efficient Machine Learning Potential for Molecular Dynamics cites this paper.
INN-FF: A Scalable and Efficient Machine Learning Potential for Molecular Dynamics Interpolating neural network: A novel unification of machine learning and interpolation theory
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:38:21.680755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06926083-47e4-4dba-8aff-78077448d893 · inbound
Neural Operators as Efficient Function Interpolators cites this paper.
Neural Operators as Efficient Function Interpolators Interpolating neural network: A novel unification of machine learning and interpolation theory
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:30:55.571731Z
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.