Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Classifying Pole of Amplitude Using Deep Neural Network
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2003.10770.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:13:13.812905Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:50:00.844296Z
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 1d502acc-5ec9-404c-ab8a-290c12c59555 · 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 Classifying Pole of Amplitude Using Deep Neural Network
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:39:34.312836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93853c24-63cd-4590-bd9d-cc8641753123 · inbound
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics cites this paper.
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Classifying Pole of Amplitude Using Deep Neural Network
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:15:54.528972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ba803b9-779b-4fe9-96fa-1c8165ff0e06 · 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 Classifying Pole of Amplitude Using Deep Neural Network
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:13:13.812905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76ec89a1-13ba-4c8c-afab-dec6f7c5d8da · inbound
The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach cites this paper.
The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach Classifying Pole of Amplitude Using Deep Neural Network
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:50:00.845740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bbde0308-1ab2-4dc6-94c4-e6aff37259fc · inbound
The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach cites this paper.
The $a_1(1420)$ in a Unitary Coupled-Channel Three-Body Approach Classifying Pole of Amplitude Using Deep Neural Network
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T17:25:05.536989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.