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Paper Citation Record · LEDGER

Neural Network Modeling of Heavy-Quark Potential from Holography

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.03784.

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

pith.paper-citation-record.v1
2408.03784 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:13:00.021227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:48:08.086894Z

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 9cefeb99-2c3f-476d-9103-379e024e8309 · inbound

Phase transition of hot dense QCD Matter from a refined holographic EMD model cites this paper.

Phase transition of hot dense QCD Matter from a refined holographic EMD model Neural Network Modeling of Heavy-Quark Potential from Holography

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:13:00.021227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:13:00.021227Z digest=sha256:d39c2cd5a5021312bc78b80cad00dede81803d03b82e0dfb304ab08c29a59b4e

Observation 4fec7962-b4c1-4537-9376-251592254d57 · 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 Neural Network Modeling of Heavy-Quark Potential from Holography

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:48:08.088207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T18:44:28.360549Z digest=sha256:e25c7e15d14eeb17c321e316c22e56f9c6252ab3b71f6e1ce008b355373314d1

Observation 5adb84ff-dac2-4fe9-82ee-8426bb27d88c · inbound

Probing bulk geometry via pole skipping: from static to rotating spacetimes cites this paper.

Probing bulk geometry via pole skipping: from static to rotating spacetimes Neural Network Modeling of Heavy-Quark Potential from Holography

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:15:10.534173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:12:50.614044Z digest=sha256:4e336cc7ff0c0444682edaa9c38c2e2fd26d99b7cbe7e0694c2b8de07054d17a

Observation 06f02578-56f9-49b1-ab09-accacc7b59d3 · inbound

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology cites this paper.

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology Neural Network Modeling of Heavy-Quark Potential from Holography

Reference 102

Resolution
unresolved
no resolver link, observed 2026-07-12T06:32:21.419737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:32:21.419737Z digest=sha256:52b3d40277c19000400d434949300b0064b7ef7046f9ad33c5ab2c03d74cd8f8

Observation 18eac77e-314f-4412-849b-dd09a8d29de2 · inbound

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology cites this paper.

Holographic Learning from Fermionic Spectra: Application to Strange Metal Phenomenology Neural Network Modeling of Heavy-Quark Potential from Holography

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-02T09:02:09.785359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:02:09.785359Z digest=sha256:6d3b5e02a137c535532a2ec81812940426be9d7b3e07b5289dff8ff5890678cf

Observation 371df46d-5d63-4488-867f-5d9058fe60a6 · inbound

Flavor-Dependent QCD Critical Endpoint and Dual-Channel Fluctuations from Multi-Charge Holography cites this paper.

Flavor-Dependent QCD Critical Endpoint and Dual-Channel Fluctuations from Multi-Charge Holography Neural Network Modeling of Heavy-Quark Potential from Holography

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T13:22:33.988083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:22:33.988083Z digest=sha256:90244fe7e2a8d66e396d48a8f461649d90881279f0e9f3cc137ebe1932bee89c