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Paper Citation Record · LEDGER

A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.10910.

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

pith.paper-citation-record.v1
2409.10910 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:43:34.593209Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:56:24.247209Z

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 05cebcaa-f8fb-4c6e-9d13-3ba964c3f4c5 · inbound

A physics-informed neural network approach to the point defect model for electrochemical oxide film growth cites this paper.

A physics-informed neural network approach to the point defect model for electrochemical oxide film growth A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T12:43:34.593209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:34.593209Z digest=sha256:e9e727e6cdcfbbb2de3b60b93090ee79e49838f0c75d0dd09bd14072c1ad0552

Observation f70d5204-1056-4d9c-a0f7-8e19fa7affd3 · inbound

Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference PDE Solvers cites this paper.

Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference PDE Solvers A Physics Informed Neural Network (PINN) Methodology for Coupled Moving Boundary PDEs

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T00:56:24.249183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T13:14:45.284507Z digest=sha256:f4e458e4017c1875a0aa0dfa0ea441489e5189a2238654261106d37456e22e92