Paper Citation Record · LEDGER

Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04380.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.04380 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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:32.188572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:20:07.133285Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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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 88dfd6d2-b73a-4394-abbd-b5945e1a7837 · inbound

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design cites this paper.

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media

Reference 1261

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:32.188572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525b9bd1-1ae8-42c8-b2c2-500082d55ef0 · inbound

Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data cites this paper.

Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:19:46.953978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6474e034-3124-40fc-81cb-90edf78fe9d8 · inbound

Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery cites this paper.

Beyond Data-Driven: How Physics-Informed Neural Networks are Reshaping Multi-Physics Design and Discovery Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.087915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 509906c5-aa50-4ce8-8233-90128f03d9a6 · inbound

Physics-Informed Neural Networks for the Time-Domain Maxwell Equations with Split-Field Perfectly Matched Layers cites this paper.

Physics-Informed Neural Networks for the Time-Domain Maxwell Equations with Split-Field Perfectly Matched Layers Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:20:07.135529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.