Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2206.09527.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T23:33:16.496226Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T22:29:00.714381Z
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 88669a2a-87b7-49d8-aec4-528fdc2e9aba · inbound
Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks cites this paper.
Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T22:29:00.716402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.