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: "inconsistency robustness in foundations mathematics self proves its own consistency and other matters"
  Abstract: Inconsistency Robustness is performance of information systems with pervasively inconsistent information. Inconsistency Robustness of the community of professional mathematicians is their performance repeatedly repairing contradictions over the centuries. In the Inconsistency Robustness paradigm, deriving contradictions have been a progressive development and not "game stoppers." Contradictions can be helpful instead of being something to be "swept under the rug" by denying their existence, which has been repeatedly attempted by Establishment Philosophers (beginning with some Pythagoreans). Such denial has delayed mathematical development. This article reports how considerations of Inconsistency Robustness have recently influenced the foundations of mathematics for Computer Science continuing a tradition developing the sociological basis for foundations. #R##N#The current common understanding is that G\"odel proved "Mathematics cannot prove its own consistency, if it is consistent." However, the consistency of mathematics is proved by a simple argument in this article. Consequently, the current common understanding that G\"odel proved "Mathematics cannot prove its own consistency, if it is consistent" is inaccurate. #R##N#Wittgenstein long ago showed that contradiction in mathematics results from the kind of "self-referential" sentence that G\"odel used in his argument that mathematics cannot prove its own consistency. However, using a typed grammar for mathematical sentences, it can be proved that the kind "self-referential" sentence that G\"odel used in his argument cannot be constructed because required the fixed point that G\"odel used to the construct the "self-referential" sentence does not exist. In this way, consistency of mathematics is preserved without giving up power.

Connected through hyperedge HE-1 (induced by source paper "actorscript tm extension of c sharp tm java tm and objective c tm iadaptive tm concurrency for anticloud tm privacy and security"):
  with members:
    - "actor model of computation scalable robust information systems"
    - "interactive small step algorithms ii abstract state machines and the characterization theorem"

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)