Paper Citation Record · LEDGER

Phase Transition Study meets Machine Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.07274.

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

pith.paper-citation-record.v1
2311.07274 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:39.723207Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T22:27:49.514917Z

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 d7e5d8f6-5f42-455a-841b-979682d469d9 · 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 Phase Transition Study meets Machine Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.723207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81430a5b-02ed-4092-a318-5b893ce11456 · 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 Phase Transition Study meets Machine Learning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T08:12:15.644045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f36469f-aa1c-4bce-88f9-e8e0e2ea5cca · 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 Phase Transition Study meets Machine Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:48:08.080839Z

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 8ad9be65-8ec7-4698-837e-100594d40cb0 · inbound

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model cites this paper.

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model Phase Transition Study meets Machine Learning

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:27:49.516260Z

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.