Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.16144.
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 2026-06-28T13:33:19.259276Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:59:40.354075Z
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 61679595-1ce7-45b5-b99b-984607e0e648 · inbound
Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks cites this paper.
Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T00:16:23.935072Z
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.
Observation f3e2e0cb-ac87-42c3-9e2b-a1dde9be9599 · inbound
Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers cites this paper.
Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T07:59:40.355275Z
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.