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Merge pull request #427 from danielskatz/patch-1
changes in bib to try to fix current and future issues
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paper/paper.bib

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@ARTICLE{Kurtzer2017-xj,
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title = "Singularity: Scientific containers for mobility of compute",
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author = "Kurtzer, Gregory M and Sochat, Vanessa and Bauer, Michael W",
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abstract = "Here we present Singularity, software developed to bring
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containers and reproducibility to scientific computing. Using
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Singularity containers, developers can work in reproducible
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environments of their choosing and design, and these complete
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environments can easily be copied and executed on other
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platforms. Singularity is an open source initiative that
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harnesses the expertise of system and software engineers and
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researchers alike, and integrates seamlessly into common
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workflows for both of these groups. As its primary use case,
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Singularity brings mobility of computing to both users and HPC
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centers, providing a secure means to capture and distribute
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software and compute environments. This ability to create and
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deploy reproducible environments across these centers, a
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previously unmet need, makes Singularity a game changing
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development for computational science.",
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journal = "PLoS One",
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doi = "journal.pone.0177459",
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publisher = "Public Library of Science",
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volume = 12,
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number = 5,
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pages = "e0177459",
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month = "11~" # may,
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month = may,
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year = 2017
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}
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@@ -43,25 +28,6 @@ @INPROCEEDINGS{McLay2011-wu
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booktitle = "State of the Practice Reports",
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author = "McLay, Robert and Schulz, Karl W and Barth, William L and
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Minyard, Tommy",
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abstract = "Commodity-based Linux HPC clusters dominate the scientific
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computing landscape in both academia and industry ranging from
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small research clusters to petascale supercomputers supporting
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thousands of users. To support broad user communities and manage
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a user-friendly environment, end-user sites must combine a range
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of low-level system software with multiple compiler chains,
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support libraries, and a suite of 3rd party applications. In
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addition, large systems require bare metal provisioning and a
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flexible software management strategy to maintain consistency
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and upgrade-ability across thousands of compute nodes. This
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report documents a Linux operating system framework, (LosF),
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which has evolved over the last seven years to provide an
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integrated strategy for the deployment of multiple HPC systems
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at the Texas Advanced Computing Center. Documented within this
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effort is the high-level cluster configuration options and
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definitions, bare-metal provisioning, hierarchical HPC software
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stack design, package-management, user environment management
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tools, user account synchronization, and local customization
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configurations.",
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publisher = "Association for Computing Machinery",
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number = "Article 9",
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pages = "1--11",
@@ -95,7 +61,7 @@ @MISC{noauthor_undated-ok
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abstract = "Build and deploy Singularity containers to GitHub releases,
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and pull with the singularity-hpc client -
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singularityhub/singularity-deploy",
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institution = "Github",
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institution = "GitHub",
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year = 2021
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}
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@@ -119,8 +85,6 @@ @MISC{noauthor_undated-eh
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title = "binoc",
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author = "Scott, Alec",
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howpublished = "\url{https://github.com/autamus/binoc}",
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abstract = "Binoc is a Lookout Bot that updates containers in Autamus -
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autamus/binoc",
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institution = "Github",
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year = 2021
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}
@@ -153,9 +117,9 @@ @MISC{noauthor_undated-rj
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@incollection{cook2017opinionated,
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title={The Opinionated Jupyter Stacks},
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author={Cook, Joshua},
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booktitle={Docker for Data Science},
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booktitle={{Docker for Data Science}},
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pages={119--135},
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year={2017},
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year=2017,
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publisher={Springer},
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doi="10.1007/978-1-4842-3012-1_7"
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}
@@ -177,7 +141,7 @@ @article{gorgolewski2017bids
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volume={13},
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number={3},
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pages={e1005209},
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year={2017},
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year=2017,
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doi="10.1371/journal.pcbi.1005209",
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publisher={Public Library of Science}
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}
@@ -190,7 +154,7 @@ @article{da2017biocontainers
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volume={33},
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number={16},
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pages={2580--2582},
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year={2017},
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year=2017,
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publisher={Oxford University Press}
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}
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@@ -206,17 +170,15 @@ @MISC{noauthor_undated-kp
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@inproceedings{environment_modules,
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title={Modules: Providing a flexible user environment},
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author={Furlani, John L},
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booktitle={Proceedings of the fifth large installation systems administration conference (LISA V)},
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booktitle={{Proceedings of the Fifth Large Installation Systems Administration Conference (LISA V)}},
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pages={141--152},
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year={1991}
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}
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@Software{SRegistry,
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title = "Singularity Registry Documentation",
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booktitle = "Singularity Registry Documentation",
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booktitle = {{Singularity Registry Documentation}},
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author = "Sochat, Vanessa",
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abstract = "Background information and documentation for setting up
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a Singularity Registry",
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howpublished = "\url{https://singularityhub.github.io/sregistry/}",
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note = "Accessed: 2017-9-26",
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year = 2017
@@ -228,26 +190,6 @@ @ARTICLE{Boettiger2014-cz
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title = "An introduction to Docker for reproducible research, with
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examples from the {R} environment",
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author = "Boettiger, Carl",
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abstract = "As computational work becomes more and more integral to many
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aspects of scientific research, computational
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reproducibility has become an issue of increasing importance
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to computer systems researchers and domain scientists alike.
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Though computational reproducibility seems more straight
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forward than replicating physical experiments, the complex
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and rapidly changing nature of computer environments makes
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being able to reproduce and extend such work a serious
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challenge. In this paper, I explore common reasons that code
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developed for one research project cannot be successfully
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executed or extended by subsequent researchers. I review
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current approaches to these issues, including virtual
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machines and workflow systems, and their limitations. I then
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examine how the popular emerging technology Docker combines
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several areas from systems research - such as operating
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system virtualization, cross-platform portability, modular
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re-usable elements, versioning, and a `DevOps' philosophy,
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to address these challenges. I illustrate this with several
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examples of Docker use with a focus on the R statistical
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environment.",
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month = oct,
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year = 2014,
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archivePrefix = "arXiv",
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title = "Towards Reproducibility in Scientific Workflows: An
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{Infrastructure-Based} Approach",
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author = "Santana-Perez, Idafen and P{\'e}rez-Hern{\'a}ndez, Mar{\'\i}a S",
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abstract = "It is commonly agreed that in silico scientific experiments
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should be executable and repeatable processes. Most of the
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current approaches for computational experiment conservation and
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reproducibility have focused so far on two of the main
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components of the experiment, namely, data and method. In this
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paper, we propose a new approach that addresses the third
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cornerstone of experimental reproducibility: the equipment. This
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work focuses on the equipment of a computational experiment,
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that is, the set of software and hardware components that are
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involved in the execution of a scientific workflow. In order to
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demonstrate the feasibility of our proposal, we describe a use
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case scenario on the Text Analytics domain and the application
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of our approach to it. From the original workflow, we document
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its execution environment, by means of a set of semantic models
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and a catalogue of resources, and generate an equivalent
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infrastructure for reexecuting it.",
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journal = "Sci. Program.",
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publisher = "Hindawi Publishing Corporation",
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volume = 2015,
@@ -288,17 +214,6 @@ @ARTICLE{Wandell2015-yt
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title = "Data management to support reproducible research",
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author = "Wandell, B A and Rokem, A and Perry, L M and Schaefer, G and
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Dougherty, R F",
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abstract = "We describe the current state and future plans for a set of
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tools for scientific data management (SDM) designed to
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support scientific transparency and reproducible research.
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SDM has been in active use at our MRI Center for more than
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two years. We designed the system to be used from the
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beginning of a research project, which contrasts with
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conventional end-state databases that accept data as a
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project concludes. A number of benefits accrue from using
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scientific data management tools early and throughout the
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project, including data integrity as well as reuse of the
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data and of computational methods.",
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month = feb,
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year = 2015,
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archivePrefix = "arXiv",

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