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: "what can be decided locally without identifiers"
  Abstract: Do unique node identifiers help in deciding whether a network G has a prescribed property P? We study this question in the context of distributed local decision, where the objective is to decide whether G has property P by having each node run a constant-time distributed decision algorithm. In a yes-instance all nodes should output yes, while in a no-instance at least one node should output no.    Recently, Fraigniaud et al. (OPODIS 2012) gave several conditions under which identifiers are not needed, and they conjectured that identifiers are not needed in any decision problem. In the present work, we disprove the conjecture.   More than that, we analyse two critical variations of the underlying model of distributed computing:   (B): the size of the identifiers is bounded by a function of the size of the input network,   (¬B): the identifiers are unbounded,   (C): the nodes run a computable algorithm,   (¬C): the nodes can compute any, possibly uncomputable function.   While it is easy to see that under (¬B, ¬C) identifiers are not needed, we show that under all other combinations there are properties that can be decided locally if and only if identifiers are present.

Connected through hyperedge HE-1 (induced by source paper "proof labeling schemes broadcast unicast and in between"):
  with members:
    - "a hierarchy of local decision"
    - "node labels in local decision"
    - "fast and compact self stabilizing verification computation and fault detection of an mst"
    - "on the impact of identifiers on local decision"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-2 (induced by source paper "survey of distributed decision"):
  with members:
    - "proof labeling schemes broadcast unicast and in between"
    - "deterministic subgraph detection in broadcast congest"
    - "towards a complexity theory for the congested clique"
    - "space time tradeoffs for distributed verification"
    - "local distributed verification"
    - "fast distributed algorithms for testing graph properties"
    - "a hierarchy of local decision"
    - "distributed graph automata"

Connected through hyperedge HE-3 (induced by source paper "on the complexity of local distributed graph problems"):
  with members:
    - "polynomial lower bound for distributed graph coloring in a weak local model"
    - "distributed degree splitting edge coloring and orientations"
    - "distributed delta 1 coloring in sublogarithmic rounds"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "a hierarchy of local decision"
    - "distributed strong diameter network decomposition"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "local conflict coloring"

Connected through hyperedge HE-4 (induced by source paper "distributed testing of excluded subgraphs"):
  with members:
    - "fast distributed algorithms for testing graph properties"
    - "distributed graph automata"
    - "algebraic methods in the congested clique"
    - "distributed graph automata"
    - "near constant time distributed algorithms on a congested clique"
    - "optimal deterministic routing and sorting on the congested clique"
    - "tri tri again finding triangles and small subgraphs in a distributed setting"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-5 (induced by source paper "a hierarchy of local decision"):
  with members:
    - "distributed graph automata"
    - "node labels in local decision"
    - "fast and compact self stabilizing verification computation and fault detection of an mst"
    - "distributed graph automata"
    - "on the impact of identifiers on local decision"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-6 (induced by source paper "local distributed verification"):
  with members:
    - "a hierarchy of local decision"
    - "distributed graph automata"
    - "distributed graph automata"
    - "on the impact of identifiers on local decision"
    - "an optimal local approximation algorithm for max min linear programs"

Connected through hyperedge HE-7 (induced by source paper "node labels in local decision"):
  with members:
    - "weak models of distributed computing with connections to modal logic"
    - "lower bounds for local approximation"
    - "on the impact of identifiers on local decision"
    - "local distributed decision"

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)