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Paper Citation Record · LEDGER

Separable Physics-Informed Neural Networks for the solution of elasticity problems

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.13486.

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

pith.paper-citation-record.v1
2401.13486 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:55:34.734744Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:15:24.701984Z

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 ea8816b1-92e8-4c11-b33a-5ce6ef23182e · inbound

Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? cites this paper.

Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks? Separable Physics-Informed Neural Networks for the solution of elasticity problems

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T00:55:34.734744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:55:34.734744Z digest=sha256:7aa685bbda8017bc4d96c45094a0be20a551108e0d3a18506365adea96c0a2d2

Observation c1172fa7-91cf-448d-9a4a-092591b30303 · inbound

About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks cites this paper.

About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks Separable Physics-Informed Neural Networks for the solution of elasticity problems

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:15:24.706969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:15:24.642033Z digest=sha256:acf1b04246191e0e91dfbb6c88ec857fc849c7706edaac92e9882461d8c93777