Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Preconditioning for Physics-Informed Neural Networks
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.00531.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T23:55:48.420884Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T00:02:49.914802Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
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- unresolved0
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- 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 76019252-1675-42d9-ace6-c535fa98a745 · inbound
Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE cites this paper.
Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE Preconditioning for Physics-Informed Neural Networks
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:35:58.253604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 66e25f00-fd6f-408f-a188-b9aeb6954c46 · inbound
Solving Convolution-type Integral Equations using Preconditioned Neural Operators cites this paper.
Solving Convolution-type Integral Equations using Preconditioned Neural Operators Preconditioning for Physics-Informed Neural Networks
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:25:54.206225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1d43ecae-62d7-4eca-8c1a-5bcee770211e · inbound
PINNs Failure Modes are Overfitting cites this paper.
PINNs Failure Modes are Overfitting Preconditioning for Physics-Informed Neural Networks
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T00:02:49.916242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.