Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.19913.
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 2026-08-08T05:46:27.980701Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:19:50.594672Z
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 e88c7f48-8596-43cd-b343-e58549df43bf · inbound
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs cites this paper.
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:46:27.980701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb5e38cd-29f3-4381-8566-147f60a8226a · inbound
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:19:50.601515Z
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.