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Paper Citation Record · LEDGER

Detecting Chiral Magnetic Effect via Deep Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2105.13761.

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

pith.paper-citation-record.v1
2105.13761 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:10:58.144792Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:10:59.134894Z

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 67db2d59-4c7b-475c-af7c-8a43331a252c · inbound

Constraining the chiral magnetic effect using spectator and participant planes across Au+Au and isobar collisions at $\sqrt{s_{_{\rm NN}}} = 200$ GeV cites this paper.

Constraining the chiral magnetic effect using spectator and participant planes across Au+Au and isobar collisions at $\sqrt{s_{_{\rm NN}}} = 200$ GeV Detecting Chiral Magnetic Effect via Deep Learning

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:10:59.139290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T22:10:58.144792Z digest=sha256:a6f16bd01524d4a31d4f8bf502432a452e7db4db9d4692ce6ff4564caeaace91

Observation 27b057b3-78f1-47d1-949e-75a987417935 · 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 Detecting Chiral Magnetic Effect via Deep Learning

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T08:12:16.600840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:12:16.600840Z digest=sha256:9974447bf9360db141d433b43fd3063aed9722307e662017e92bf3280c1dc24f