Paper Citation Record · LEDGER

Physics-Informed Neural Networks for Quantum Eigenvalue Problems

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T01:13:15.362660Z

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 50a180f8-3ef6-4a0a-b26c-05ecb0fd1365 · inbound

Growing Neural Networks: Dynamic Evolution through Gradient Descent cites this paper.

Growing Neural Networks: Dynamic Evolution through Gradient Descent Physics-Informed Neural Networks for Quantum Eigenvalue Problems

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T01:13:15.362660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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 2026-08-18T06:34:40.430872+00:00.