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: "self stabilizing byzantine agreement"
  Abstract: Byzantine agreement algorithms typically assume implicit initial state consistency and synchronization among the correct nodes and then operate in coordinated rounds of information exchange to reach agreement based on the input values. The implicit initial assumptions enable correct nodes to infer about the progression of the algorithm at other nodes from their local state. This paper considers a more severe fault model than permanent Byzantine failures, one in which the system can in addition be subject to severe transient failures that can temporarily throw the system out of its assumption boundaries. When the system eventually returns to behave according to the presumed assumptions it may be in an arbitrary state in which any synchronization among the nodes might be lost, and each node may be at an arbitrary state. We present a self-stabilizing Byzantine agreement algorithm that reaches agreement among the correct nodes in an optimal ration of faulty to correct, by using only the assumption of eventually bounded message transmission delay. In the process of solving the problem, two additional important and challenging building blocks were developed: a unique self-stabilizing protocol for assigning consistent relative times to protocol initialization and a Reliable Broadcast primitive that progresses at the speed of actual message delivery time.

Connected through hyperedge HE-1 (induced by source paper "near optimal self stabilising counting and firing squads"):
  with members:
    - "efficient counting with optimal resilience"
    - "towards optimal synchronous counting"
    - "breaking the o n 2 bit barrier scalable byzantine agreement with an adaptive adversary"
    - "an optimal self stabilizing firing squad"

Connected through hyperedge HE-2 (induced by source paper "self stabilizing byzantine clock synchronization with optimal precision"):
  with members:
    - "self stabilising byzantine clock synchronisation is almost as easy as consensus"
    - "self stabilizing byzantine pulse synchronization"

Connected through hyperedge HE-3 (induced by source paper "self stabilizing pulse synchronization inspired by biological pacemaker networks"):
  with members:
    - "phase clocks for transient fault repair"

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.DC(Distributed, Parallel, and Cluster Computing)