Pith. sign in

Paper Citation Record · LEDGER

Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.00814.

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

pith.paper-citation-record.v1
2405.00814 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:32.138834Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T09:25:21.861139Z

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 434433d5-603f-4723-ac4d-b8bb334087a2 · inbound

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

Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing

Reference 1157

Resolution
unresolved
no resolver link, observed 2026-08-15T23:55:32.138834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:55:32.138834Z digest=sha256:3c9faa38a5e10ca52e7377e60ef0eca47277302f917a70a34803d87ecd752f04

Observation 6e43fadf-13c8-4c95-8c21-f1c3cb69022f · inbound

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness cites this paper.

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:25:21.865196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T09:24:16.570453Z digest=sha256:f1272c98056bd030d5e3687073228aec811b03e03dc941de2717998712991f1d

Observation ae36a600-fa80-4967-8562-884d93b8ec29 · inbound

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness cites this paper.

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness Solving Maxwell's equations with Non-Trainable Graph Neural Network Message Passing

Reference 119

Resolution
unresolved
no resolver link, observed 2026-07-13T23:08:19.232619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:08:19.232619Z digest=sha256:7d47d72637c2520b8d0e41d728d185b3abe1a8e4e4d9c87aff0589333f636bf0