Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sobolev Training for Physics Informed Neural Networks
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.08932.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:51:00.502906Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T17:06:58.949868Z
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 bdd8f5b3-14ed-4ed7-b985-82827a8b77ea · inbound
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks cites this paper.
A Quasilinear Algorithm for Computing Higher-Order Derivatives of Deep Feed-Forward Neural Networks Sobolev Training for Physics Informed Neural Networks
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:51:00.502906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 886b3239-91a3-45c3-9063-805ef423e4ca · inbound
Neural Shortest Path for Surface Reconstruction from Point Clouds cites this paper.
Neural Shortest Path for Surface Reconstruction from Point Clouds Sobolev Training for Physics Informed Neural Networks
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T17:06:58.953440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6931992d-bcfb-4ab2-adbc-45a421ceca26 · inbound
Introduction to optimization methods for training SciML models cites this paper.
Introduction to optimization methods for training SciML models Sobolev Training for Physics Informed Neural Networks
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T10:27:48.487293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.