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Paper Citation Record · LEDGER

A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples

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.

pith.paper-citation-record.v1
2402.07156 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:53.010963Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0dc9e06e-26f2-4da2-910e-8a555c051b9f · inbound

A deformation-based framework for learning solution mappings of PDEs defined on varying domains cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:53.010963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:53.010963Z digest=sha256:92028c80754ec47d518ae55ef6493025fa67ef44f5ea33b0b8ac3f61f3b7aeeb

Observation f11f93f5-5df8-466f-8a62-0ce9c0c71dd6 · inbound

Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers cites this paper.

Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T18:20:25.070567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:20:25.070567Z digest=sha256:b9a87e8351dd84da858ebf4d157dc649c0209c6f334ac28486dbe4a6579f438d

Observation 314ebf36-8c35-4ac1-89d2-f498cc01ab6e · inbound

Solving Convolution-type Integral Equations using Preconditioned Neural Operators cites this paper.

Solving Convolution-type Integral Equations using Preconditioned Neural Operators A hybrid iterative method based on MIONet for PDEs: Theory and numerical examples

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:54.200342Z

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.

source=pdf_text observed=2026-05-11T02:23:12.361934Z digest=sha256:bf554feb9904fff738305ba2e6352b5a2f5020b60d2c58fc27c338113b53aba9

Observation 3f6d7845-c707-420c-a83b-b6016f5834a8 · inbound

IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:54:02.200435Z

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.

source=pdf_text observed=2026-06-29T23:53:30.631124Z digest=sha256:cd7766fb3e0c84a1b530e3e21f0ba10086bb304f449a3b7b8df95350c9c75716