Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine Learning Approach for Estimating Magnetic Field Strength in Galaxy Clusters from Synchrotron Emission
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.07080.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:06.003775Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-13T00:16:21.800782Z
Reference resolution
0 of 0 outbound references displayed
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- 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 b3018861-a2a3-45dd-8597-2f63bc35e354 · inbound
Estimate Sonic Mach Number in the Interstellar Medium with Convolutional Neural Network cites this paper.
Estimate Sonic Mach Number in the Interstellar Medium with Convolutional Neural Network Machine Learning Approach for Estimating Magnetic Field Strength in Galaxy Clusters from Synchrotron Emission
Reference 77
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-12T18:56:31.406322Z
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.
Observation 54133bb9-a42d-4cd7-b619-6fb9b862ba89 · inbound
Characterizing 3D Magnetic Fields and Turbulence in H I Clouds cites this paper.
Characterizing 3D Magnetic Fields and Turbulence in H I Clouds Machine Learning Approach for Estimating Magnetic Field Strength in Galaxy Clusters from Synchrotron Emission
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:21:06.003775Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed5f8972-b6de-4abd-aec6-cd9486609281 · inbound
Statistics of Gas Density, Velocity, and Magnetic Fields in Cool-Core Galaxy Clusters cites this paper.
Statistics of Gas Density, Velocity, and Magnetic Fields in Cool-Core Galaxy Clusters Machine Learning Approach for Estimating Magnetic Field Strength in Galaxy Clusters from Synchrotron Emission
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:04:55.313766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.