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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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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  • parse uncertain0
  • malformed identifier0
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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:eacabdb6f0684ea63980be9466275c383f31fa049e6566468942701910afe032

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=sha256:461d12ad10967de365f8bcd27166310022eb57b2c7130e43ad2726691ef132f4

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=sha256:327be2f582322b8f2f05dd2c2fe67b5dba3af217b60706b8c5d858a6cad45d17