Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Achieving High Accuracy with PINNs via Energy Natural Gradients
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.13163.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:43:35.864880Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e9705032-6e0b-4396-8b59-8ac801dfbfd8 · inbound
A physics-informed neural network approach to the point defect model for electrochemical oxide film growth cites this paper.
A physics-informed neural network approach to the point defect model for electrochemical oxide film growth Achieving High Accuracy with PINNs via Energy Natural Gradients
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:43:35.864880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc83d8c3-0bf6-4073-9d29-efb71ab8fafb · inbound
Natural gradient descent with momentum cites this paper.
Natural gradient descent with momentum Achieving High Accuracy with PINNs via Energy Natural Gradients
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:15:10.006489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a8ba6cb4-fdd1-46d4-ae47-b5cebc70c221 · inbound
Exact Boundary Enforcement Along Implicit Geometries for Physics-Informed, Deep Learning Problems in Continuum Mechanics cites this paper.
Exact Boundary Enforcement Along Implicit Geometries for Physics-Informed, Deep Learning Problems in Continuum Mechanics Achieving High Accuracy with PINNs via Energy Natural Gradients
Reference 46
- Resolution
- malformed identifier
- arxiv_id, observed 2026-06-29T14:13:29.972326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.