Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Solving Schrodinger equations using physically constrained neural network
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.03934.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T08:12:15.793215Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T23:36:37.142624Z
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 ac35f793-dd7d-47a1-95df-58a61ef77784 · inbound
Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model cites this paper.
Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model Solving Schrodinger equations using physically constrained neural network
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:12:15.793215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3149169-0d3d-4c23-8e6a-8c7a87b667bf · inbound
Machine learning the impact parameter in heavy-ion collisions at $\sqrt{s_{\rm NN}}$ = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM cites this paper.
Machine learning the impact parameter in heavy-ion collisions at $\sqrt{s_{\rm NN}}$ = 4 and 11 GeV: a cross-check study with UrQMD, AMPT, and JAM Solving Schrodinger equations using physically constrained neural network
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T23:36:37.144053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.