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Paper Citation Record · LEDGER

Physics-Informed Neural Networks for Quantum Eigenvalue Problems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.00451.

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

pith.paper-citation-record.v1
2203.00451 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:41.653305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:26:36.275936Z

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 a7c4f79e-ff0c-4829-ac3f-9b79ffa3b5d6 · inbound

A ZeNN architecture to avoid the Gaussian trap cites this paper.

A ZeNN architecture to avoid the Gaussian trap Physics-Informed Neural Networks for Quantum Eigenvalue Problems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:41.653305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:41.653305Z digest=sha256:2b6a8c2e1043693babc39704c93e6ab75b7c6b24838c28a0abda270ae867de60

Observation f3839c13-7390-4d73-bada-c53b48c87389 · inbound

Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient cites this paper.

Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient Physics-Informed Neural Networks for Quantum Eigenvalue Problems

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:48:10.454138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:48:10.454138Z digest=sha256:c72cadea7d61b562ac1c6a0610a80a79c8c022da1055bc056b4d8e1469c9eee2

Observation 29438753-5ead-4ca6-bd45-458987bdb23a · inbound

Odd-parity perturbations of trace-quadratic $f(R,T)$ black holes with anisotropic matter: admissible branches, axial ringdown, and a coupled-PINN benchmark cites this paper.

Odd-parity perturbations of trace-quadratic $f(R,T)$ black holes with anisotropic matter: admissible branches, axial ringdown, and a coupled-PINN benchmark Physics-Informed Neural Networks for Quantum Eigenvalue Problems

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:26:36.277420Z

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=arxiv_source observed=2026-06-28T09:04:01.263448Z digest=sha256:d6d2b1c7731b86641cffe4fb6b846c8b76b75acd7131b812760cf6db31ce2b81