Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tensor neural networks for high-dimensional Fokker-Planck equations
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.05615.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:39.759098Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:50:51.085836Z
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 6dcd0019-01a8-46fc-b49c-d78dfeb19bf8 · inbound
Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy cites this paper.
Adaptive Neural Network Subspace Method for Solving Partial Differential Equations with High Accuracy Tensor neural networks for high-dimensional Fokker-Planck equations
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:24:51.271282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2200963-878a-4233-80e0-f800268cfd70 · inbound
Neural Network Element Method for Partial Differential Equations cites this paper.
Neural Network Element Method for Partial Differential Equations Tensor neural networks for high-dimensional Fokker-Planck equations
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:00:39.759098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6be0cec-41ac-4963-8aba-e22553f79e47 · inbound
BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations cites this paper.
BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations Tensor neural networks for high-dimensional Fokker-Planck equations
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:50:51.092567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.