Paper Citation Record · LEDGER

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD

As of 14 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 1 inbound Pith citation observation for arXiv:2411.14902.

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

pith.paper-citation-record.v1
2411.14902 v3

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:39.846634Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T12:34:12.315045Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T12:37:53.144904Z

Reference resolution

68 of 68 outbound references displayed

verified exact11
verified fuzzy13
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2219c5af-b3bc-4563-bcdb-9b564618aa09 · outbound

This paper cites Greensite, An Introduction to the Confinement Problem, Lecture Notes in Physics (Springer Berlin Heidelberg, 2011).

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Greensite, An Introduction to the Confinement Problem, Lecture Notes in Physics (Springer Berlin Heidelberg, 2011)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.323157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cc66037-087a-413c-8fc9-934f6f3fa618 · outbound

This paper cites Introduction to Lattice QCD.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Introduction to Lattice QCD

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.527347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f90c150-d379-44b5-9d5c-c4bc7d123c83 · outbound

This paper cites Di Giacomo, M.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Di Giacomo, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.308221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c1d1447a-0722-4461-a3ac-0332248acdc2 · outbound

This paper cites Fukugita and T.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Fukugita and T

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.293991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0692e917-54e3-4e95-aea8-29e3b112b2f5 · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:41.274085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ddd461bd-f66d-4b09-9e57-925c3daaca9d · outbound

This paper cites Cea and L.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Cea and L

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.259822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f54894c4-7759-46a5-ac87-3a3d8632135e · outbound

This paper cites Dual superconductivity in the SU(2) pure gauge vacuum: a lattice study.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Dual superconductivity in the SU(2) pure gauge vacuum: a lattice study

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.553315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434f6ad0-79b7-42bf-bb49-99f0bd16fd3d · outbound

This paper cites Observing Long Colour Flux Tubes in SU(2) Lattice Gauge Theory.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Observing Long Colour Flux Tubes in SU(2) Lattice Gauge Theory

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.558355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86de3818-521c-476f-b095-c196ba174ba2 · outbound

This paper cites Luscher, G.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Luscher, G

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.245661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5600812b-7d46-4820-973b-9576403675de · outbound

This paper cites Baker, J.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Baker, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.231274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09f6141e-80d4-492e-814b-6c6a4be9e0dc · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-12T14:51:40.954910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4798ea38-5a82-4cc8-861d-448cbdac56db · outbound

This paper cites Chromoelectric flux tubes and coherence length in QCD.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Chromoelectric flux tubes and coherence length in QCD

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.577931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2610369-97eb-4880-89a8-2eaaf209dd1a · outbound

This paper cites The confining color field in SU(3) gauge theory.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD The confining color field in SU(3) gauge theory

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.582803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538d19ab-08e1-41b0-98af-c79b11f49091 · outbound

This paper cites Galsandorj, S.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Galsandorj, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.217125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6c000ab-f690-4e78-8dfa-86a82b7c8d79 · outbound

This paper cites Unveiling the flux tube structure in full QCD.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unveiling the flux tube structure in full QCD

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.593413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df611e26-932e-493d-9591-8a9b4f7df2b9 · outbound

This paper cites Investigating the flux tube structure within full QCD.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Investigating the flux tube structure within full QCD

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.598527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e56fb6e-ee98-46bf-a8c9-2d025c38ce54 · outbound

This paper cites String Breaking in Non-Abelian Gauge Theories with Fundamental Matter Fields.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD String Breaking in Non-Abelian Gauge Theories with Fundamental Matter Fields

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:40.804176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 00154ced-da0e-4877-acc9-f7ec6f4326cb · outbound

This paper cites String breaking with Wilson loops?.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD String breaking with Wilson loops?

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:40.783417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 72f41382-c4f7-4dfa-b66b-d6f1258126b9 · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.614082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330f0dec-3641-4dd1-b255-35da725666ab · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:41.202736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6bd400b4-c9f2-43d0-b30f-abe864faab5e · outbound

This paper cites Partial restoration of chiral symmetry in a confining string.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Partial restoration of chiral symmetry in a confining string

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:40.683140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dbbfa263-85fd-4ac3-bcc0-2f356d10dbe1 · outbound

This paper cites Partial restoration of chiral symmetry in the color flux tube.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Partial restoration of chiral symmetry in the color flux tube

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:40.661208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 259df890-84cd-424f-a310-ad3f570df7c1 · outbound

This paper cites Exploring quantum entanglement in chiral symmetry partial restoration with 1+1 string model.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Exploring quantum entanglement in chiral symmetry partial restoration with 1+1 string model

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:40.639369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d65a634a-2f32-4c13-b9ce-2c7f33e4133c · outbound

This paper cites Locating Quark-Antiquark String Breaking in QCD through Chiral Symmetry Restoration and Hawking-Unruh Effect.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Locating Quark-Antiquark String Breaking in QCD through Chiral Symmetry Restoration and Hawking-Unruh Effect

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.637531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ea44eff-4769-451e-857c-1277b04f8081 · outbound

This paper cites Forte, L.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Forte, L

Reference 25

Resolution: verified exact; raw_fallback, observed 2026-08-12T14:51:40.600649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 856ed7c0-620b-4b45-8506-c9ff9302774c · outbound

This paper cites Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.646887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e782e28-2521-4fd3-8968-3490978deca5 · outbound

This paper cites Deep Learning and its Application to LHC Physics.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Deep Learning and its Application to LHC Physics

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.651497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81505b10-7fae-44b7-915b-49f83eff8a72 · outbound

This paper cites Radovic, M.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Radovic, M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.188170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a4942bae-4bb0-44cb-8519-f1d8e6025ef7 · outbound

This paper cites Machine Learning in High Energy Physics Community White Paper.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Machine Learning in High Energy Physics Community White Paper

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.661216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedd66bc-9f77-4949-baf9-cb3064220ac4 · outbound

This paper cites Machine learning and the physical sciences.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Machine learning and the physical sciences

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.665868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47a73892-6719-4ef5-99cd-277cc7ad2c7b · outbound

This paper cites Machine and Deep Learning Applications in Particle Physics.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Machine and Deep Learning Applications in Particle Physics

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.670672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b689e9-b4da-498e-b416-d878b3cc96d7 · outbound

This paper cites Modern Machine Learning and Particle Physics.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Modern Machine Learning and Particle Physics

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.675340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102451f1-049a-4c7b-adfb-c7d63d0a9064 · outbound

This paper cites Machine Learning in the Search for New Fundamental Physics.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Machine Learning in the Search for New Fundamental Physics

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.679847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07fe5c72-0f2a-4958-b2e8-b357f6ebdc81 · outbound

This paper cites Machine Learning in Nuclear Physics.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Machine Learning in Nuclear Physics

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.684949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1188e54-db84-467a-bd44-c3289e9a4547 · outbound

This paper cites Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.689864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f8a404-e836-4417-ae03-37d8759980ad · outbound

This paper cites Deep learning assisted jet tomography for the study of Mach cones in QGP.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Deep learning assisted jet tomography for the study of Mach cones in QGP

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.694805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8607d7-38a4-406d-8a7c-b81914e8071d · outbound

This paper cites Deep-learning quasi-particle masses from QCD equation of state.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Deep-learning quasi-particle masses from QCD equation of state

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.699634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c83a53e8-fe4a-47c5-aac9-9991ce2bce9e · outbound

This paper cites High energy nuclear physics meets Machine Learning.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD High energy nuclear physics meets Machine Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.704407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13383672-bb64-412c-8e05-2a68a7d51a89 · outbound

This paper cites Exploring QCD matter in extreme conditions with Machine Learning.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Exploring QCD matter in extreme conditions with Machine Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.709225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a83a0eef-09a6-419f-bd5a-72e6ac4fb768 · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:41.173585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 235e4759-86d0-40b6-88fd-aa4c1a1e9860 · outbound

This paper cites Pang, Studying high-energy nuclear physics with machine learning, Int.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Pang, Studying high-energy nuclear physics with machine learning, Int

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.159159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d7e5d8f6-5f42-455a-841b-979682d469d9 · outbound

This paper cites Phase Transition Study meets Machine Learning.

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 9186b153-9d75-4f69-b888-ab9cb1f409fc · outbound

This paper cites Neural Network Modeling of Heavy-Quark Potential from Holography.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Neural Network Modeling of Heavy-Quark Potential from Holography

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.727967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2acf9853-e8ec-40a7-955a-e7dc646ca560 · outbound

This paper cites Exploring Transport Properties of Quark-Gluon Plasma in Flavor-Dependent Systems with a Holographic Model.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Exploring Transport Properties of Quark-Gluon Plasma in Flavor-Dependent Systems with a Holographic Model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.732885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0056d4e8-070e-4b44-b5da-745f689f3a67 · outbound

This paper cites Omana Kuttan, J.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Omana Kuttan, J

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.143791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 21cedecf-2a53-4402-b856-ba7368b2085e · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:41.129278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 53d871b5-ede7-4cd4-b175-3b05cb386a0e · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:41.114099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2c07974a-f8ea-48fe-83b7-1106eb78885d · outbound

This paper cites Heavy quark potential in quark-gluon Plasma: Deep neural network meets lattice quantum chromodynamics.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Heavy quark potential in quark-gluon Plasma: Deep neural network meets lattice quantum chromodynamics

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.751373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a720d1-0fcd-4574-86f8-890a5336a0e8 · outbound

This paper cites Holographic complex potential of a quarkonium from deep learning.

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.

Observation ea664099-5d9c-4818-8adc-03b80fbbe13d · outbound

This paper cites Flavor dependent Critical endpoint from holographic QCD through machine learning.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Flavor dependent Critical endpoint from holographic QCD through machine learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.761544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 787dd7c0-f829-483b-b726-7206372a506c · outbound

This paper cites Machine learning holographic black hole from lattice QCD equation of state.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Machine learning holographic black hole from lattice QCD equation of state

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.766293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916480a0-2062-4bb7-ac92-7e503f33cd9f · outbound

This paper cites Analysis of strong coupling constant with machine learning and its application.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Analysis of strong coupling constant with machine learning and its application

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.771617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4675669-72a1-42f8-8565-b7dc1a248e30 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD KAN: Kolmogorov-Arnold Networks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.776468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e51974-485d-44b0-8246-2d719d95a3a7 · outbound

This paper cites KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.781114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9248a6a7-0263-4bf9-8b28-dbef6d32caa5 · outbound

This paper cites Structure of Abrikosov Vortices in SU(2) Lattice Gauge Theory.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Structure of Abrikosov Vortices in SU(2) Lattice Gauge Theory

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.785854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61e615ad-d8e4-421a-a81a-fe57e95fbd9a · outbound

This paper cites Schilling, G.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Schilling, G

Reference 56

Resolution: verified exact; raw_fallback, observed 2026-08-12T14:51:40.051155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e072f04-0f10-41d0-a8a5-bc6e7e061670 · outbound

This paper cites Towards Abelian-like formulation of the dual gluodynamics.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Towards Abelian-like formulation of the dual gluodynamics

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:39.970644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c3f37f3-28a2-49ab-9e98-33fdd3ee781c · outbound

This paper cites Vacuum type of SU(2) gluodynamics in maximally Abelian and Landau gauges.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Vacuum type of SU(2) gluodynamics in maximally Abelian and Landau gauges

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:39.947873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab4f621c-3ff3-4dd9-82e8-c4d242255f97 · outbound

This paper cites Gauge invariance of color confinement due to the dual Meissner effect caused by Abelian monopoles.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Gauge invariance of color confinement due to the dual Meissner effect caused by Abelian monopoles

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:51:39.925176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 69edf8f6-a12a-40d2-8688-f3cbe18eca43 · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:41.098976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e16e278d-7b85-454e-9c01-35216a5d5561 · outbound

This paper cites an unresolved cited work.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:41.084268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc5de9d4-c8b6-4f09-a62a-dcc373fb1692 · outbound

This paper cites Witten, Superconducting Strings, Nucl.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Witten, Superconducting Strings, Nucl

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.818882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d45682-2cd1-4a25-99d0-0f27d6c9db98 · outbound

This paper cites Hornik, M.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Hornik, M

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.823320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5982d95-e307-4fa8-969d-d8d9d0785cae · outbound

This paper cites Cybenko, Approximation by superpositions of a sigmoidal function, Mathematics of control, signals and systems 2, 303 (1989).

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Cybenko, Approximation by superpositions of a sigmoidal function, Mathematics of control, signals and systems 2, 303 (1989)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.047709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9f9585e3-0015-4489-9034-8401795f1947 · outbound

This paper cites Haykin, Neural networks: a comprehensive foundation (Prentice Hall PTR, 1998).

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Haykin, Neural networks: a comprehensive foundation (Prentice Hall PTR, 1998)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.031864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d03fb70a-e163-4cd9-a148-3825ec90a3d4 · outbound

This paper cites O’Malley, E.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD O’Malley, E

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:41.016735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8585b329-8291-42b0-bd82-edb379db4075 · outbound

This paper cites Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.841887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7155c29f-1a30-4d5b-bd77-c3e555bf12f6 · outbound

This paper cites VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions.

Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD VAIM-CFF: A variational autoencoder inverse mapper solution to Compton form factor extraction from deeply virtual exclusive reactions

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:39.846634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fdf48d29-2427-4b05-a23b-747b364ab2a5 · inbound

Extraction of the color dipole amplitude with physics-informed neural networks cites this paper.

Extraction of the color dipole amplitude with physics-informed neural networks Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:37:53.147207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.