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 clock synchronization with optimal precision"
  Abstract: We revisit the approach to Byzantine fault-tolerant clock synchronization based on approximate agreement introduced by Lynch and Welch. Our contribution is threefold: #R##N#(1) We provide a slightly refined variant of the algorithm yielding improved bounds on the skew that can be achieved and the sustainable frequency offsets. #R##N#(2) We show how to extend the technique to also synchronize clock rates. This permits less frequent communication without significant loss of precision, provided that clock rates change sufficiently slowly. #R##N#(3) We present a coupling scheme that allows to make these algorithms self-stabilizing while preserving their high precision. The scheme utilizes a low-precision, but self-stabilizing algorithm for the purpose of recovery.

Connected through hyperedge HE-1 (induced by source paper "optimal metastability containing sorting via parallel prefix computation"):
  with members:
    - "optimal metastability containing sorting networks"
    - "on the complexity of hazard free circuits"
    - "metastability containing circuits"
    - "optimal sorting networks"

Connected through hyperedge HE-2 (induced by source paper "fault tolerant gradient clock synchronization"):
  with members:
    - "self stabilising byzantine clock synchronisation is almost as easy as consensus"
    - "optimal gradient clock synchronization in dynamic networks"
    - "gradient clock synchronization using reference broadcasts"
    - "self stabilizing pulse synchronization inspired by biological pacemaker networks"

Connected through hyperedge HE-3 (induced by source paper "self stabilising byzantine clock synchronisation is almost as easy as consensus"):
  with members:
    - "near optimal self stabilising counting and firing squads"
    - "efficient counting with optimal resilience"
    - "towards optimal synchronous counting"
    - "fault tolerant algorithms for tick generation in asynchronous logic robust pulse generation"
    - "breaking the o n 2 bit barrier scalable byzantine agreement with an adaptive adversary"
    - "self stabilizing pulse synchronization inspired by biological pacemaker networks"

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)