Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
About optimal loss function for training physics-informed neural networks under respecting causality
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.02282.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:55:34.233272Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T23:15:25.128244Z
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 7f2d591b-cac5-48b4-a4ee-d5704b89c266 · inbound
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? cites this paper.
Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? About optimal loss function for training physics-informed neural networks under respecting causality
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:55:34.233272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbb9fc17-fa66-49b0-bbb6-529a7f7000ba · inbound
About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks cites this paper.
About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks About optimal loss function for training physics-informed neural networks under respecting causality
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T23:15:25.133004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.