Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.08761.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T05:37:17.862093Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:59:40.345437Z
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 c70441c2-7095-4f3f-b10a-916d459f8b07 · inbound
Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2df2ed98-1035-479d-8614-7491b41bf595 · inbound
Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Reference 2003
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 021255a2-4d8e-42f8-be26-6d7dbaddf292 · inbound
Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d825df11-9325-4ec0-a0be-a6ae4bfce13e · inbound
Feature Interaction Modeling for Physics-Informed Neural Networks and Neural Operators Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.