human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "elaborating inductive datatypes and course of values pattern matching to cedille"
  Abstract: In CDLE, a pure Curry-style type theory, it is possible to generically derive induction for {\lambda}-encoded data whose types are least fixed points of functors. From this comes fruitful research into the design-space for datatype systems: \cite{FDJS18_CoV-Ind} build upon this derivation to enhance datatypes with course-of-values (CoV) induction, and \cite{DFS18_GenZC-Reuse} show how to achieve program, proof, and data reuse generically and at zero run-time cost between non-indexed and indexed variants of datatypes. However, experience shows programmers and type theorists prefer the convenience of built-in support for declaring datatypes and defining functions over them by case analysis and fixpoint-style recursion. Use of the above generic framework still comes with some difficulties in this regard, in particular requiring manual derivation of case analysis for functors, using the less-familiar generic fixpoint induction, and working with {\lambda}-encodings directly. #R##N#In this paper, we present a datatype subsystem for Cedille (an implementation of CDLE) that addresses the above concerns while preserving the desirable features derivable of {\lambda}-encoded datatypes within CDLE. In particular, we describe a \textit{semantic} termination checker based on \textit{CoV pattern matching} and an extension to definitional equality for constructors that supports zero-cost reuse for datatypes, giving detailed examples of both. Additionally, we demonstrate that this does not require extending Cedille's core theory by showing how datatypes and functions over them elaborate to CDLE and proving that this elaboration is sound. Both the datatype subsystem and its elaborator are implemented for Cedille, to be officially released in version 1.1.0

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.PL(Programming Languages)