Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.13143.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:46.558047Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:15:37.347900Z
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 5f779811-d0c0-4938-9d97-c5ec71e28db3 · inbound
Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks cites this paper.
Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:55:46.558047Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bdad424-4ac6-4bfd-b730-7af0111e9573 · inbound
Two-scale Neural Networks for Singularly Perturbed Dynamical Systems with Multiple Parameters cites this paper.
Two-scale Neural Networks for Singularly Perturbed Dynamical Systems with Multiple Parameters Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:15:37.349948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9bfb7628-9a71-4f2e-82ad-16f838288f7b · inbound
Variational Boosting for Physics-Informed Neural Networks cites this paper.
Variational Boosting for Physics-Informed Neural Networks Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:34:25.641730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.