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Paper Citation Record · LEDGER

Holographic complex potential of a quarkonium from deep learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.06285.

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

pith.paper-citation-record.v1
2406.06285 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 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:39.756444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:48:08.081970Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 86a720d1-0fcd-4574-86f8-890a5336a0e8 · 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 Holographic complex potential of a quarkonium from deep learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T14:51:39.756444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:51:39.756444Z digest=sha256:31109c66dc992983db8c0555c8f79751f69f9b2205391e16389461f9472e761e

Observation 4caf330e-fc15-4798-8b6c-3dfa5b32d1e1 · inbound

Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments cites this paper.

Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments Holographic complex potential of a quarkonium from deep learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T13:41:29.630533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:41:29.630533Z digest=sha256:cbfac81e015817095c114086cd08eca70768c7cca2af8578149843c2202a0cbd

Observation 4e8a52ae-232e-4919-8d36-2ae69de986ab · inbound

Neural network extraction of chromo-electric and chromo-magnetic gluon masses cites this paper.

Neural network extraction of chromo-electric and chromo-magnetic gluon masses Holographic complex potential of a quarkonium from deep learning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T12:14:51.764647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:14:51.764647Z digest=sha256:4a4b7ca8134d45cfb294225e9aa38138a60e929fa93badd8a1e30ce616c853bc

Observation 4d4394ed-6c52-4ba1-a3a9-9e6e58963325 · inbound

Discovering the Gell-Mann-Okubo Formula with Kolmogorov-Arnold Networks cites this paper.

Discovering the Gell-Mann-Okubo Formula with Kolmogorov-Arnold Networks Holographic complex potential of a quarkonium from deep learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T12:52:03.806579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:52:03.806579Z digest=sha256:38b1c23aad3faea5115bbed6b97130a710b7e292b32cf3373b7af7e5fee28447

Observation 961b91a6-7457-4151-bd80-fde203d2b40f · 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 Holographic complex potential of a quarkonium from deep learning

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:48:08.083280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T18:44:28.360549Z digest=sha256:7aaa37da19d3092fc3b7c4b8d2a8ecf6399f8162915fff3bbaecc2d4bf79a37b

Observation d8d98c04-8aba-4c5a-8fba-83c849eaf418 · 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 Holographic complex potential of a quarkonium from deep learning

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:15:10.732112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T11:12:50.614044Z digest=sha256:0622a736149139c48819133eddff9d54a8f9c303679bf8a4a14e15e72b798855