Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analysis of strong coupling constant with machine learning and its application
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.07682.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:39.771617Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T12:37:53.190943Z
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 916480a0-2062-4bb7-ac92-7e503f33cd9f · inbound
Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD cites this paper.
Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Analysis of strong coupling constant with machine learning and its application
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:51:39.771617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bda8bc1-fdd2-4b19-93de-e43220274cae · inbound
Extraction of the color dipole amplitude with physics-informed neural networks cites this paper.
Extraction of the color dipole amplitude with physics-informed neural networks Analysis of strong coupling constant with machine learning and its application
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:37:53.193397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cce69e7b-8ef5-4eba-8215-d48a10bda51a · inbound
Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD cites this paper.
Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD Analysis of strong coupling constant with machine learning and its application
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T18:48:08.105616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.