-
[1]
S. Muroya, A. Nakamura, C. Nonaka et al., Prog. Theor. Phys. 110, 615 (2003), arXiv: hep-lat/0306031
-
[2]
C. Ratti, Rept. Prog. Phys. 81(8), 084301 (2018), arXiv: 1804.07810[hep-lat]
-
[3]
S. Durr et al. (BMW), Science 322, 1224 (2008), arXiv: 0906.3599[hep-lat]
-
[4]
E. Ballini, G. Clemente, M. D'Elia et al., PoS LATTICE2023, 224 (2024)
-
[5]
J. Greensite, Lect. Notes Phys. 821, 1 (2011)
-
[6]
J. Bardeen, L. N. Cooper, and J. R. Schrieffer, Phys. Rev. 108, 1175 (1957)
-
[7]
J. M. Kosterlitz and D. J. Thouless, J. Phys. C 6, 1181 (1973)
-
[8]
Y. Nambu, Phys. Rev. D 10, 4262 (1974)
-
[9]
B. J. Harrington and H. K. Shepard, Phys. Rev. D 17, 2122 (1978)
-
[10]
H. Fritzsch, Phys. Lett. B 256, 75 (1991)
-
[11]
T. Schäfer and E. V. Shuryak, Rev. Mod. Phys. 70, 323 (1998), arXiv: hep-ph/9610451[hep-ph]
-
[12]
A. Altland and B. D. Simons, Condensed matter field theory (2010)
-
[13]
H. Sonoda and H. Suzuki, PTEP 2021(2), 023B05 (2021), arXiv: 2012.03568[hep-th]
-
[14]
S. Schaefer et al. (ALPHA), Nucl. Phys. B 845, 93 (2011), arXiv: 1009.5228[hep-lat]
-
[15]
G. Pan and Z. Y. Meng, doi: 10.1016/B978-0-323-90800-9.00095-0, arXiv: 2204.08777[cond-mat.str-el]
-
[16]
J. Carrasquilla and R. G. Melko, Nature Phys. 13, 431 (2017), arXiv: 1605.01735[cond-mat.str-el]
-
[17]
G. Carleo and M. Troyer, Science 355(6325), 602 (2017)
-
[18]
G. Carleo, I. Cirac, K. Cranmer et al., Rev. Mod. Phys. 91(4), 045002 (2019), arXiv: 1903.10563[physics.comp-ph]
-
[19]
K. Zhou, L. Wang, L. G. Pang et al., Prog. Part. Nucl. Phys. 135, 104084 (2024), arXiv: 2303.15136[hep-ph]
-
[20]
D. Wu, L. Wang, and P. Zhang, Phys. Rev. Lett. 122(8), 080602 (2019)
-
[21]
O. Sharir, Y. Levine, N. Wies et al., Phys. Rev. Lett. 124(2), 020503 (2020)
-
[22]
D. Luo, Z. Chen, K. Hu et al., Phys. Rev. Res. 5(1), 013216 (2023)
-
[23]
A. Fujita, J. R. Sato, H. M. Garay-Malpartida et al., Modeling gene expression regulatory networks with the sparse vector autoregressive model, BMCsystemsbiology 1 , 1 (2007)
-
[24]
S. Goldman, J. Li, and C. W. Coley, Generating molecular fragmentation graphs with autoregressive neural networks, AnalyticalChemistry, (2024)
-
[25]
L. Wang, Y. Jiang, L. He et al., Chin. Phys. Lett. 39(12), 120502 (2022), arXiv: 2005.04857[cond-mat.dis-nn]
-
[26]
L. Wang, Y. Jiang, and K. Zhou, arXiv: physics.comp-ph/2007.01037
-
[27]
P. E. Shanahan, A. Trewartha, and W. Detmold, Phys. Rev. D 97(9), 094506 (2018), arXiv: 1801.05784[hep-lat]
-
[28]
Y. T. Song, In Journal of Physics: Conference Series 2649 , 012055 (2023)
-
[29]
S. Blücher, L. Kades, J. M. Pawlowski et al., Phys. Rev. D 101(9), 094507 (2020), arXiv: 2003.01504[hep-lat]
-
[30]
M. Favoni, A. Ipp, D. I. Müller et al., Phys. Rev. Lett. 128(3), 3 (2022), arXiv: 2012.12901[hep-lat]
-
[31]
B. Allen, Phys. Rev. D 33, 3640 (1986)
-
[32]
F. Bruckmann, Eur. Phys. J. ST 152, 61 (2007), arXiv: 0706.2269[hep-th]
-
[33]
M. A. Lopez-Ruiz, T. Yepez-Martinez, A. Szczepaniak et al., Nucl. Phys. A 966, 324 (2017), arXiv: 1605.08017[nucl-th]
-
[34]
G. 't Hooft, arXiv: hep-th/0010225
-
[35]
S. Chen, O. Savchuk, S. Zheng et al., Phys. Rev. D 107(5), 056001 (2023), arXiv: 2211.03470[hep-lat]
-
[36]
T. Schäfer, arXiv: hep-lat/0411010
-
[37]
J. X. Pan and K. T. Fang, Maximum Likelihood Estimation, Growth Eurve Models and Statistical Diagnostics, pages 77-158, 2002
-
[38]
M. Germain, K. Gregor, I. Murray et al., arXiv: 1502.03509[cs.LG]
-
[39]
G. Aarts, B. Lucini, and C. Park, Phys. Rev. D 109(3), 034521 (2024), arXiv: 2309.15002[hep-lat]
-
[40]
D. L. Boyda, M. N. Chernodub, N. V. Gerasimeniuk et al., Phys. Rev. D 103(1), 014509 (2021), arXiv: 2009.10971[hep-lat]
-
[41]
A. Palermo, L. Anderlini, M. P. Lombardo et al., PoS LATTICE2021, 030 (2022), arXiv: 2111.05216[hep-lat]
-
[42]
N. Sale, B. Lucini, and J. Giansiracusa, Phys. Rev. D 107(3), 034501 (2023), arXiv: 2207.13392[hep-lat]
-
[43]
D. Spitz, J. M. Urban, and J. M. Pawlowski, Phys. Rev. D 107(3), 034506 (2023), arXiv: 2208.03955[hep-lat]
-
[44]
D. Diakonov, N. Gromov, V. Petrov et al., Phys. Rev. D 70, 036003 (2004), arXiv: hep-th/0404042[hep-th]