Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pole structure of $P_\psi^N(4312)^+$ via machine learning and uniformized S-matrix
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.11906.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.766013Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:43:40.446416Z
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 3d1aacca-568c-4cf9-8f5f-7b78e9b08b3d · inbound
Analysis of hidden-charm pentaquarks as triangle singularities via deep learning cites this paper.
Analysis of hidden-charm pentaquarks as triangle singularities via deep learning Pole structure of $P_\psi^N(4312)^+$ via machine learning and uniformized S-matrix
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:39:34.352746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f318acd7-8663-4981-bed3-1486e7400aaf · inbound
Line shape analysis of $\Lambda(1405)$ in $\gamma p \rightarrow K^+\Sigma^-\pi^+$ reaction using convolutional neural network cites this paper.
Line shape analysis of $\Lambda(1405)$ in $\gamma p \rightarrow K^+\Sigma^-\pi^+$ reaction using convolutional neural network Pole structure of $P_\psi^N(4312)^+$ via machine learning and uniformized S-matrix
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:43:40.507115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 56bc04e8-d4ff-4d73-ac5c-4d7481079a67 · inbound
Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification cites this paper.
Deep Neural Network Driven Simulation Based Inference Method for Pole Position Estimation under Model Misspecification Pole structure of $P_\psi^N(4312)^+$ via machine learning and uniformized S-matrix
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:13:13.766013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.