Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.00422.
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 2026-08-07T12:53:38.736584Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T21:21:41.649836Z
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 c5e65a59-c7fb-4fe0-83e8-a4e4b752943e · inbound
Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy cites this paper.
Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:53:38.736584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 917b7cda-b5ff-4874-8336-d1685a721ad3 · inbound
Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion cites this paper.
Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:21:41.681503Z
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.
Observation 2c93dd28-0f47-4ed7-bc35-ba325f580bfd · inbound
A Unified Physics-Informed Neural Network for Modeling Coupled Electro- and Elastodynamic Wave Propagation Using Three-Stage Loss Optimization cites this paper.
A Unified Physics-Informed Neural Network for Modeling Coupled Electro- and Elastodynamic Wave Propagation Using Three-Stage Loss Optimization Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:28:01.856238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.