Update specialized reviews (#217)

* Update topical reviews

* Update special character (compiles with luatex engine)

HEPML.bib

@@ -1651,7 +1651,7 @@ @article{Vigl:2024lat
 % January 25, 2024
 @article{ATLAS:2024rcx,
  author = "{ATLAS Collaboration}",
- title = "{Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb$^{−1}$ of pp collision data at $ \sqrt{s} $ = 13 TeV with the ATLAS detector}",
+ title = "{Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb$^{-1}$ of pp collision data at $ \sqrt{s} $ = 13 TeV with the ATLAS detector}",
  eprint = "2401.13430",
  archivePrefix = "arXiv",
  primaryClass = "hep-ex",

HEPML.tex

@@ -43,7 +43,7 @@
 \\\textit{Below are links to many (static) general and specialized reviews. The third bullet contains links to classic papers that applied shallow learning methods many decades before the deep learning revolution.}
  \begin{itemize}
  \item Modern reviews~\cite{Larkoski:2017jix,Guest:2018yhq,Albertsson:2018maf,Radovic:2018dip,Carleo:2019ptp,Bourilkov:2019yoi,Schwartz:2021ftp,Karagiorgi:2021ngt,Boehnlein:2021eym,Shanahan:2022ifi}
- \item Specialized reviews~\cite{Kasieczka:2019dbj,1807719,1808887,Psihas:2020pby,Butter:2020tvl,Forte:2020yip,Brehmer:2020cvb,Nachman:2020ccu,Duarte:2020ngm,Vlimant:2020enz,Cranmer:2019eaq,Rousseau:2020rnz,Kagan:2020yrm,Guan:2020bdl,deLima:2021fwm,Alanazi:2021grv,Baldi:2022okj,Viren:2022qon,Bogatskiy:2022hub,Butter:2022rso,Dvorkin:2022pwo,Adelmann:2022ozp,Thais:2022iok,Harris:2022qtm,Coadou:2022nsh,Benelli:2022sqn,Chen:2022pzc,Plehn:2022ftl,Cheng:2022idp,Huerta:2022kgj,Huber:2022lpm,DeZoort:2023vrm,Du:2023qst,Allaire:2023fgp,Hashemi:2023rgo,Belis:2023mqs,Araz:2023mda,Gooding:2024wpi,Kheddar:2024osf,Bardhan:2024zla,Mondal:2024nsa,Huetsch:2024quz}
+ \item Specialized reviews~\cite{Kasieczka:2019dbj,1807719,1808887,Psihas:2020pby,Butter:2020tvl,Forte:2020yip,Brehmer:2020cvb,Nachman:2020ccu,Duarte:2020ngm,Vlimant:2020enz,Cranmer:2019eaq,Rousseau:2020rnz,Kagan:2020yrm,Guan:2020bdl,deLima:2021fwm,Alanazi:2021grv,Baldi:2022okj,Viren:2022qon,Bogatskiy:2022hub,Butter:2022rso,Dvorkin:2022pwo,Adelmann:2022ozp,Thais:2022iok,Harris:2022qtm,Coadou:2022nsh,Benelli:2022sqn,Chen:2022pzc,Plehn:2022ftl,Cheng:2022idp,Huerta:2022kgj,Huber:2022lpm,Zhou:2023pti,DeZoort:2023vrm,Du:2023qst,Allaire:2023fgp,Hashemi:2023rgo,Belis:2023mqs,Araz:2023mda,Gooding:2024wpi,Kheddar:2024osf,Bardhan:2024zla,Mondal:2024nsa,Huetsch:2024quz}
  \item Classical papers~\cite{Denby:1987rk,Lonnblad:1990bi}
  \item Datasets~\cite{Kasieczka:2021xcg,Aarrestad:2021oeb,Benato:2021olt,Govorkova:2021hqu,Chen:2021euv,Qu:2022mxj,Eller:2023myr,Rusack:2023pob}
  \end{itemize}

README.md

@@ -56,6 +56,7 @@ This review was built with the help of the HEP-ML community, the [INSPIRE REST A
 * [Bridging Machine Learning and Sciences: Opportunities and Challenges](https://arxiv.org/abs/2210.13441)
 * [FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective](https://arxiv.org/abs/2210.08973) [[DOI](https://doi.org/10.1038/s41597-023-02298-6)]
 * [Snowmass Neutrino Frontier Report](https://arxiv.org/abs/2211.08641)
+* [Exploring QCD matter in extreme conditions with Machine Learning](https://arxiv.org/abs/2303.15136) [[DOI](https://doi.org/10.1016/j.ppnp.2023.104084)]
 * [Graph neural networks at the Large Hadron Collider](https://doi.org/10.1038/s42254-023-00569-0)
 * [Overview: Jet quenching with machine learning](https://arxiv.org/abs/2308.10035)
 * [Artificial Intelligence for the Electron Ion Collider (AI4EIC)](https://arxiv.org/abs/2307.08593) [[DOI](https://doi.org/10.1007/s41781-024-00113-4)]
@@ -1933,7 +1934,7 @@ This review was built with the help of the HEP-ML community, the [INSPIRE REST A
 * [Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC](https://arxiv.org/abs/2309.12417) [[DOI](https://doi.org/10.1051/epjconf/202429509003)]
 * [Novel techniques for alpha/beta pulse shape discrimination in Borexino](https://arxiv.org/abs/2310.11826)
 * [CMS highlights on searches for new physics in final states with jets](https://arxiv.org/abs/2401.07172) [[DOI](https://doi.org/10.22323/1.450.0162)]
-* [Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb$^{−1}$ of pp collision data at $ \sqrt{s} $](https://arxiv.org/abs/2401.13430) [[DOI](https://doi.org/10.1007/JHEP03(2024)139)]
+* [Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb$^{-1}$ of pp collision data at $ \sqrt{s} $](https://arxiv.org/abs/2401.13430) [[DOI](https://doi.org/10.1007/JHEP03(2024)139)]
 * [Search for long-lived particles using displaced vertices and missing transverse momentum in proton-proton collisions at $\sqrt{s}$](https://arxiv.org/abs/2402.15804)
 * [Observation of electroweak production of $W^+W^-$ in association with jets in proton-proton collisions at $\sqrt{s}](https://arxiv.org/abs/2403.04869)
 * [Exploration at the high-energy frontier: ATLAS Run 2 searches investigating the exotic jungle beyond the Standard Model](https://arxiv.org/abs/2403.09292)

docs/index.md

@@ -87,6 +87,7 @@ const expandElements = shouldExpand => {
  * [Bridging Machine Learning and Sciences: Opportunities and Challenges](https://arxiv.org/abs/2210.13441)
  * [FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective](https://arxiv.org/abs/2210.08973) [[DOI](https://doi.org/10.1038/s41597-023-02298-6)]
  * [Snowmass Neutrino Frontier Report](https://arxiv.org/abs/2211.08641)
+ * [Exploring QCD matter in extreme conditions with Machine Learning](https://arxiv.org/abs/2303.15136) [[DOI](https://doi.org/10.1016/j.ppnp.2023.104084)]
  * [Graph neural networks at the Large Hadron Collider](https://doi.org/10.1038/s42254-023-00569-0)
  * [Overview: Jet quenching with machine learning](https://arxiv.org/abs/2308.10035)
  * [Artificial Intelligence for the Electron Ion Collider (AI4EIC)](https://arxiv.org/abs/2307.08593) [[DOI](https://doi.org/10.1007/s41781-024-00113-4)]
@@ -2176,7 +2177,7 @@ const expandElements = shouldExpand => {
  * [Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC](https://arxiv.org/abs/2309.12417) [[DOI](https://doi.org/10.1051/epjconf/202429509003)]
  * [Novel techniques for alpha/beta pulse shape discrimination in Borexino](https://arxiv.org/abs/2310.11826)
  * [CMS highlights on searches for new physics in final states with jets](https://arxiv.org/abs/2401.07172) [[DOI](https://doi.org/10.22323/1.450.0162)]
- * [Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb$^{−1}$ of pp collision data at $ \sqrt{s} $](https://arxiv.org/abs/2401.13430) [[DOI](https://doi.org/10.1007/JHEP03(2024)139)]
+ * [Search for new phenomena with top-quark pairs and large missing transverse momentum using 140 fb$^{-1}$ of pp collision data at $ \sqrt{s} $](https://arxiv.org/abs/2401.13430) [[DOI](https://doi.org/10.1007/JHEP03(2024)139)]
  * [Search for long-lived particles using displaced vertices and missing transverse momentum in proton-proton collisions at $\sqrt{s}$](https://arxiv.org/abs/2402.15804)
  * [Observation of electroweak production of $W^+W^-$ in association with jets in proton-proton collisions at $\sqrt{s}](https://arxiv.org/abs/2403.04869)
  * [Exploration at the high-energy frontier: ATLAS Run 2 searches investigating the exotic jungle beyond the Standard Model](https://arxiv.org/abs/2403.09292)

docs/recent.md

@@ -107,15 +107,3 @@ This is an automatically compiled list of papers which have been added to the li
 * [Neural Network Learning and Quantum Gravity](https://arxiv.org/abs/2403.03245)
 * [Higgs couplings in SMEFT via Zh production at the HL-LHC](https://arxiv.org/abs/2403.03001)
 
-## February 2024
-* [A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics](https://arxiv.org/abs/2402.17386)
-* [Cluster Counting Algorithm for the CEPC Drift Chamber using LSTM and DGCNN](https://arxiv.org/abs/2402.16493)
-* [A new graph-neural-network flavor tagger for Belle II and measurement of $\sin 2\phi_1$ in $B^0 \to J/\psi K^0_\text{S}$ decays](https://arxiv.org/abs/2402.17260)
-* [Classifier Surrogates: Sharing AI-based Searches with the World](https://arxiv.org/abs/2402.15558)
-* [Search for long-lived particles using displaced vertices and missing transverse momentum in proton-proton collisions at $\sqrt{s}$](https://arxiv.org/abs/2402.15804)
-* [A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter](https://arxiv.org/abs/2402.16285)
-* [The Neural Network First-Level Hardware Track Trigger of the Belle II Experiment](https://arxiv.org/abs/2402.14962)
-* [Portable acceleration of CMS computing workflows with coprocessors as a service](https://arxiv.org/abs/2402.15366)
-* [End-to-end simulation of particle physics events with Flow Matching and generator Oversampling](https://arxiv.org/abs/2402.13684)
-* [Equivariant, Safe and Sensitive -- Graph Networks for New Physics](https://arxiv.org/abs/2402.12449)
-