Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.07156.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:53.010963Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 0dc9e06e-26f2-4da2-910e-8a555c051b9f · inbound
A deformation-based framework for learning solution mappings of PDEs defined on varying domains A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f11f93f5-5df8-466f-8a62-0ce9c0c71dd6 · inbound
Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 314ebf36-8c35-4ac1-89d2-f498cc01ab6e · inbound
Solving Convolution-type Integral Equations using Preconditioned Neural Operators A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3f6d7845-c707-420c-a83b-b6016f5834a8 · inbound
IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.