Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.01138.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-10T23:05:52.560109Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T00:16:23.875787Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 65e7f50b-76c6-4a95-b94e-b26467e7aead · inbound
Bayesian Reasoning for Physics Informed Neural Networks Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating a class of inverse problems for PDEs
Reference 15
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 5d77a8b9-6471-4d8d-9fd4-fbbfdd22f729 · inbound
DeepF-fNet: a physics-informed neural network for vibration isolation optimization Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating a class of inverse problems for PDEs
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 151f6fed-395f-4e4f-9c3d-0fdfbd896179 · inbound
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 a class of inverse problems for PDEs
Reference 7
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.