Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Framework to capture and reproduce the Absolute State of Jupyter
  Notebooks   Jupyter Notebooks are an enormously popular tool for creating and narrating
computational research projects. They also have enormous potential for creating
reproducible scientific research artifacts. Capturing the complete state of a
notebook has additional benefits; for instance, the notebook execution may be
split between local and remote resources, where the latter may have more
powerful processing capabilities or store large or access-limited data. There
are several challenges for making notebooks fully reproducible when examined in
detail. The notebook code must be replicated entirely, and the underlying
Python runtime environments must be identical. More subtle problems arise in
replicating referenced data, external library dependencies, and runtime
variable states. This paper presents solutions to these problems using
Juptyer's standard extension mechanisms to create an archivable system state
for a running notebook. We show that the overhead for these additional
mechanisms, which involve interacting with the underlying Linux kernel, does
not introduce substantial execution time overheads, demonstrating the
approach's feasibility.

5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph