Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.02939.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T02:48:57.360225Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T19:02:43.628548Z
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 dcb5b3da-b013-4acf-81bc-facdb6872269 · inbound
A numerical study into neural network surrogate model performance for uncertainty propagation cites this paper.
A numerical study into neural network surrogate model performance for uncertainty propagation PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T19:02:43.629863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0578a83b-0267-41b4-b102-6f0a1d131813 · inbound
LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks cites this paper.
LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
Reference 115
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:48:57.360225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c11a1c6-407f-4f96-b3f2-be9481dbd832 · inbound
Uncertainty quantification in mechanics: A unified Bayesian perspective cites this paper.
Uncertainty quantification in mechanics: A unified Bayesian perspective PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:38:01.696172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.