Paper Citation Record · LEDGER

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2510.24494.

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

pith.paper-citation-record.v1
2510.24494 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:45:15.581339Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy33
unresolved7
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 510ae1e8-4c52-4706-9cdf-db0db3247a3c · outbound

This paper cites Machine learning and LHC event generation.SciPost Phys., 14(4):079, 2023.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Machine learning and LHC event generation.SciPost Phys., 14(4):079, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.265527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ccfc3cd-00f5-4f76-812c-ec3846f6f907 · outbound

This paper cites Learning Feynman integrals from differential equations with neural networks.JHEP, 07:124, 2024.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Learning Feynman integrals from differential equations with neural networks.JHEP, 07:124, 2024

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.249965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5c062cc-6893-4e3f-b1b3-6c57e545d319 · outbound

This paper cites Feynman Diagrams as Computational Graphs.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Feynman Diagrams as Computational Graphs

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.234425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79772638-7782-420e-bf3f-601a644d8948 · outbound

This paper cites Learning Feynman Diagrams using Graph Neural Networks.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Learning Feynman Diagrams using Graph Neural Networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.219508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2fab80d5-7a7d-4665-b8a1-2059e16e61cb · outbound

This paper cites Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning.JHEP, 05:185, 2025.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning.JHEP, 05:185, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.204492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db5ff70c-c9d4-45e1-831c-e8474aca2a02 · outbound

This paper cites Explainable AI-assisted Optimization for Feynman Integral Reduction.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Explainable AI-assisted Optimization for Feynman Integral Reduction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.189929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f25b5f09-ae71-4059-9a9f-65d7ccd914fa · outbound

This paper cites Lattice gauge equivariant convolutional neural networks.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Lattice gauge equivariant convolutional neural networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:45:15.406940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c47b787-8759-4f5e-a1de-73ae943087b2 · outbound

This paper cites Hackett, Gurtej Kanwar, S´ ebastien Racani` ere, Danilo J.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Hackett, Gurtej Kanwar, S´ ebastien Racani` ere, Danilo J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.175606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a56b61b-509a-4393-9b2a-6cbb15487000 · outbound

This paper cites Machine learning invariants of arithmetic curves.Journal of Symbolic Computation, 115:478–491, March 2023.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Machine learning invariants of arithmetic curves.Journal of Symbolic Computation, 115:478–491, March 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.131938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9fbd1c4-4d4b-43d0-b030-6dad5e9c95f5 · outbound

This paper cites Murmurations of elliptic curves.Experimental Mathematics, page 1–13, August 2024.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Murmurations of elliptic curves.Experimental Mathematics, page 1–13, August 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.115687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ee76dab-a8be-4856-bc5c-e8635fbe428b · outbound

This paper cites Murmurations, 2023.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Murmurations, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.101219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbdcc25c-c119-4f0e-8523-5abab1e2eeba · outbound

This paper cites Machine-learning the sato–tate conjecture.Journal of Symbolic Computation, 111:61–72, July 2022.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Machine-learning the sato–tate conjecture.Journal of Symbolic Computation, 111:61–72, July 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.161227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39eff19f-cba6-49c5-843c-bfdd9f3f2014 · outbound

This paper cites Machine-learning number fields.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Machine-learning number fields

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.147063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf035f14-96bf-41db-9f51-03c207b0ad82 · outbound

This paper cites Murmurations of elliptic curves.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Murmurations of elliptic curves

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.086398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dca98c7f-0b74-43ca-b054-216054da96dd · outbound

This paper cites Glozman, Christian Hagen, Dieter Hierl, C.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Glozman, Christian Hagen, Dieter Hierl, C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.071146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc3eb9de-52fd-4ece-bd33-d1f09812ca12 · outbound

This paper cites an unresolved cited work.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:45:16.056420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de106ab1-0c5f-4656-8608-996433f9d199 · outbound

This paper cites Light Hadron Masses from Lattice QCD.Rev.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Light Hadron Masses from Lattice QCD.Rev

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.040180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8486511-eff5-46d7-94e9-f606f848550f · outbound

This paper cites Hadronic contributions to the muon anomalous magnetic moment.PoS, 336:186, 2019.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Hadronic contributions to the muon anomalous magnetic moment.PoS, 336:186, 2019

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.025360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3278875a-2113-4d62-bbfd-b0e0fd141fed · outbound

This paper cites Borsanyi, Z.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Borsanyi, Z

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:16.009892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e271be79-7ce8-40fb-a8a9-d05c181f8a1a · outbound

This paper cites Gross and Edward Witten.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Gross and Edward Witten

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.994836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70601595-a5a5-4815-9bea-e4049ed4bf50 · outbound

This paper cites an unresolved cited work.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:45:15.979789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46aa1b42-048e-4703-a8bc-aafe8fd97632 · outbound

This paper cites Anderson and Martin Kruczenski.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Anderson and Martin Kruczenski

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.962826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6a646b2-9117-4c90-8536-d396b8ab7e18 · outbound

This paper cites Bootstrap for lattice Yang-Mills theory.Phys.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Bootstrap for lattice Yang-Mills theory.Phys

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.947488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8294db68-7add-49f3-b18a-7a2b97c1e84d · outbound

This paper cites Bootstrap for finite N lattice Yang-Mills theory.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Bootstrap for finite N lattice Yang-Mills theory

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.931896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ebd867f9-9684-42a8-b779-49a1e1f9b17f · outbound

This paper cites Bootstrapping SU(3) Lattice Yang-Mills Theory.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Bootstrapping SU(3) Lattice Yang-Mills Theory

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.915616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b863f8f-9fcd-4c2a-ac06-88bf5345f2bc · outbound

This paper cites Bootstrapping the Abelian lattice gauge theories.JHEP, 08:154, 2024.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Bootstrapping the Abelian lattice gauge theories.JHEP, 08:154, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.899463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07b70f89-ad6f-40c7-ae0a-f319d013c306 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T15:45:15.514445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f195892b-24ad-4585-bddd-98e3f49f2b04 · outbound

This paper cites Symba: symbolic computation of squared amplitudes in high energy physics with machine learning.Machine Learning: Science and Technology, 4(1):015007, January 2023.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Symba: symbolic computation of squared amplitudes in high energy physics with machine learning.Machine Learning: Science and Technology, 4(1):015007, January 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.872466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9b794dc-5dd0-4a17-b45b-eeb190a7cbc3 · outbound

This paper cites Schwartz, and Xiaoyuan Zhang.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Schwartz, and Xiaoyuan Zhang

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.857133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d6604f1-0929-411f-b95e-90b1804b7dc0 · outbound

This paper cites Merz, Fran¸ cois Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, and Lance J.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Merz, Fran¸ cois Charton, Niklas Nolte, Matthias Wilhelm, Kyle Cranmer, and Lance J

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.840672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25169c18-bf0d-4739-a958-e30ab0b18536 · outbound

This paper cites Learning the simplicity of scattering amplitudes.SciPost Physics, 18(2), February 2025.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Learning the simplicity of scattering amplitudes.SciPost Physics, 18(2), February 2025

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.824070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0eb842b3-e595-48f5-ad97-c69744591480 · outbound

This paper cites Albergo, Denis Boyda, Daniel C.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Albergo, Denis Boyda, Daniel C

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.807432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8776a24f-716e-4799-85c6-957cc188ce1f · outbound

This paper cites Diffusion models for lattice gauge field simulations.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Diffusion models for lattice gauge field simulations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.790932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f44d0d4-695b-4373-98e4-094016106009 · outbound

This paper cites Diffusion models and stochastic quantisation in lattice field theory.PoS, LATTICE2024:037, 2025.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Diffusion models and stochastic quantisation in lattice field theory.PoS, LATTICE2024:037, 2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.775360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69b1dac1-52c7-4d36-81ff-0646833afb6a · outbound

This paper cites Physics-Conditioned Diffusion Models for Lattice Gauge Theory.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Physics-Conditioned Diffusion Models for Lattice Gauge Theory

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.759127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15ddb304-1257-4996-bd96-f699299932d2 · outbound

This paper cites Diffusion models as stochastic quantization in lattice field theory.JHEP, 05:060, 2024.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Diffusion models as stochastic quantization in lattice field theory.JHEP, 05:060, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.737857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d8f0fcc-bb83-4a58-8963-7b93b96ae32b · outbound

This paper cites an unresolved cited work.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:45:15.717656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f01ee934-cd2b-45cc-b351-dd95371190ef · outbound

This paper cites Lang.Quantum chromodynamics on the lattice, volume.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Lang.Quantum chromodynamics on the lattice, volume

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:45:15.697841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f33411e-8045-4d56-9648-4d016905f1f2 · outbound

This paper cites an unresolved cited work.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:45:15.664521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e4b3b479-7ce6-453d-88e1-61a2094416b2 · outbound

This paper cites an unresolved cited work.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:45:15.645302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 007cf50f-dd61-4516-97ae-12b8a13fbeed · outbound

This paper cites an unresolved cited work.

AI for Pattern Hunter: Application in Wilson Loop of 2D Lattice Yang-Mills Theory Unresolved cited work

Reference 788

Resolution: parse uncertain; raw_fallback, observed 2026-08-15T15:45:15.680897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.