Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-particle correlations, cumulants, and moments sensitive to fluctuations in rare-probe azimuthal anisotropy in heavy ion collisions
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.16796.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:16:13.596631Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:40:37.200178Z
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 37fddfe9-a021-48e3-8659-961e84202144 · inbound
An MLE analysis on the relationship between the initial-state granularity and final-state flow factorization cites this paper.
An MLE analysis on the relationship between the initial-state granularity and final-state flow factorization Multi-particle correlations, cumulants, and moments sensitive to fluctuations in rare-probe azimuthal anisotropy in heavy ion collisions
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:16:13.596631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d358682-d6b2-432a-b7b2-564b6069d8e2 · inbound
Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions cites this paper.
Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions Multi-particle correlations, cumulants, and moments sensitive to fluctuations in rare-probe azimuthal anisotropy in heavy ion collisions
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:40:37.202276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.