\subsection{Paper Checklist to be included in your paper}

\begin{enumerate}

\item This paper:
\begin{enumerate}
    \item  Includes a conceptual outline and/or pseudocode description of AI methods introduced. 
    \textbf{Yes}
  \item Clearly delineates statements that are opinions, hypothesis, and speculation from objective facts and results.
    \textbf{Yes}
   \item Provides well-marked pedagogical references for less-familiar readers to gain background necessary to replicate the paper. 
    \textbf{Yes}
\end{enumerate}
\item Does this paper make theoretical contributions? 
\textbf{Partial}

\begin{enumerate}
   \item All assumptions and restrictions are stated clearly and formally. 
    \textbf{Yes}
  \item All novel claims are stated formally (e.g., in theorem statements). 
    \textbf{Yes}
   \item Proofs of all novel claims are included. 
    \textbf{Yes}
    \item Proof sketches or intuitions are given for complex and/or novel results.
    \textbf{Yes}
  \item Appropriate citations to theoretical tools used are given. 
    \textbf{Yes}
  \item All theoretical claims are demonstrated empirically to hold. 
    \textbf{Yes}
  \item All experimental code used to eliminate or disprove claims is included.
    \textbf{Yes}
\end{enumerate}

\item Does this paper rely on one or more datasets? 
\textbf{Yes}

\item Does this paper include computational experiments? 
\textbf{Yes}

\begin{enumerate}
  \item Any code required for pre-processing data is included in the appendix. 
    \textbf{Yes}
  \item All source code required for conducting and analyzing the experiments is included in a code appendix. 
    \textbf{Yes}
  \item All source code required for conducting and analyzing the experiments will be made publicly available upon publication of the paper with a license that allows free usage for research purposes. 
    \textbf{Yes}
  \item All source code implementing new methods have comments detailing the implementation, with references to the paper where each step comes from 
    \textbf{Partial}
  \item If an algorithm depends on randomness, then the method used for setting seeds is described in a way sufficient to allow replication of results. 
    \textbf{Yes}
  \item This paper specifies the computing infrastructure used for running experiments (hardware and software), including GPU/CPU models; amount of memory; operating system; names and versions of relevant software libraries and frameworks. 
    \textbf{Yes}
  \item This paper formally describes evaluation metrics used and explains the motivation for choosing these metrics.
    \textbf{Yes}
  \item This paper states the number of algorithm runs used to compute each reported result. 
    \textbf{Yes}
  \item Analysis of experiments goes beyond single-dimensional summaries of performance (e.g., average; median) to include measures of variation, confidence, or other distributional information. 
    \textbf{Yes}
  \item The significance of any improvement or decrease in performance is judged using appropriate statistical tests (e.g., Wilcoxon signed-rank).
    \textbf{No}
  \item This paper lists all final (hyper-)parameters used for each model/algorithm in the paper’s experiments. 
    \textbf{Yes}
  \item This paper states the number and range of values tried per (hyper-) parameter during development of the paper, along with the criterion used for selecting the final parameter setting. 
    \textbf{Yes}
\end{enumerate}

\end{enumerate}
