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Paper Citation Record · LEDGER

A machine learning study to identify spinodal clumping in high energy nuclear collisions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.06562.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.06562 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:19:21.145444Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 9a57fe86-ff31-4e92-be5d-4b93907defa0 · inbound

Exploring the QCD phase diagram through correlations and fluctuations cites this paper.

Exploring the QCD phase diagram through correlations and fluctuations A machine learning study to identify spinodal clumping in high energy nuclear collisions

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T18:43:44.822786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:43:44.822786Z digest=sha256:bc06e3840beb51cc5515b59f87774311cc406470f5247d02111b74f6e9eb9b19

Observation d99d01c5-0a97-469c-b607-09f05bd9b113 · inbound

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model cites this paper.

Heavy Quarkonium Spectrum and Decay Constants from a Neural-Network-Based Holographic Model A machine learning study to identify spinodal clumping in high energy nuclear collisions

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T08:12:15.898293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:12:15.898293Z digest=sha256:079526b9c6ab3496466f6f648eb4f19cdeea4794956ad83076171d7878950f2a

Observation 212c1970-5e5a-4dee-89db-9d026b3a2e2a · inbound

Directed Flow of Protons and Deuterons in Xe+Cs(I) Collisions: Preliminary BM@N Data and THESEUS Modeling cites this paper.

Directed Flow of Protons and Deuterons in Xe+Cs(I) Collisions: Preliminary BM@N Data and THESEUS Modeling A machine learning study to identify spinodal clumping in high energy nuclear collisions

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:19:21.145444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:19:21.145444Z digest=sha256:35c3eaf4e1cba04fba321c66717cffe04c5ed634e77466d056017a827624b53e