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: "randomized distributed decision"
  Abstract: The paper tackles the power of randomization in the context of locality by analyzing the ability to`boost' the success probability of deciding a distributed language. The main outcome of this analysis is that the distributed computing setting contrasts significantly with the sequential one as far as randomization is concerned. Indeed, we prove that in some cases, the ability to increase the success probability for deciding distributed languages is rather limited. Informally, a (p,q)-decider for a language L is a distributed randomized algorithm which accepts instances in L with probability at least p and rejects instances outside of L with probability at least q. It is known that every hereditary language that can be decided in t rounds by a (p,q)-decider, where p^2+q>1, can actually be decided deterministically in O(t) rounds. In one of our results we give evidence supporting the conjecture that the above statement holds for all distributed languages. This is achieved by considering the restricted case of path topologies. We then turn our attention to the range below the aforementioned threshold, namely, the case where p^2+q\leq1. We define B_k(t) to be the set of all languages decidable in at most t rounds by a (p,q)-decider, where p^{1+1/k}+q>1. It is easy to see that every language is decidable (in zero rounds) by a (p,q)-decider satisfying p+q=1. Hence, the hierarchy B_k provides a spectrum of complexity classes between determinism and complete randomization. We prove that all these classes are separated: for every integer k\geq 1, there exists a language L satisfying L\in B_{k+1}(0) but L\notin B_k(t) for any t=o(n). In addition, we show that B_\infty(t) does not contain all languages, for any t=o(n). Finally, we show that if the inputs can be restricted in certain ways, then the ability to boost the success probability becomes almost null.

Connected through hyperedge HE-1 (induced by source paper "introduction to local certification"):
  with members:
    - "note on distributed certification of minimum spanning trees"
    - "silent mst approximation for tiny memory"
    - "graph classes and forbidden patterns on three vertices"
    - "local verification of global proofs"
    - "redundancy in distributed proofs"
    - "distributed automata and logic"
    - "proof labeling schemes broadcast unicast and in between"
    - "error sensitive proof labeling schemes"

Connected through hyperedge HE-2 (induced by source paper "trade offs in distributed interactive proofs"):
  with members:
    - "the power of distributed verifiers in interactive proofs"
    - "distributed triangle detection via expander decomposition"
    - "redundancy in distributed proofs"
    - "distributed pcp theorems for hardness of approximation in p"
    - "survey of distributed decision"
    - "a hierarchy of local decision"
    - "one round multi party communication complexity of distinguishing sums"

Connected through hyperedge HE-3 (induced by source paper "distributed detection of cycles"):
  with members:
    - "distributed testing of excluded subgraphs"
    - "survey of distributed decision"
    - "fast distributed algorithms for testing graph properties"
    - "a hierarchy of local decision"
    - "finding cycles and trees in sublinear time"
    - "distributed discovery of large near cliques"

Connected through hyperedge HE-4 (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-5 (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-6 (induced by source paper "fast and compact self stabilizing verification computation and fault detection of an mst"):
  with members:
    - "fast self stabilizing minimum spanning tree construction using compact nearest common ancestor labeling scheme"
    - "on the impact of identifiers on local decision"
    - "distributed verification and hardness of distributed approximation"
    - "local distributed decision"
    - "a new self stabilizing minimum spanning tree construction with loop free property"

Connected through hyperedge HE-7 (induced by source paper "what can be decided locally without identifiers"):
  with members:
    - "fast and compact self stabilizing verification computation and fault detection of an mst"
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "lower bounds for local approximation"
    - "on the impact of identifiers on local decision"
    - "decidability classes for mobile agents computing"
    - "distributed verification and hardness of distributed approximation"
    - "local distributed decision"

Connected through hyperedge HE-8 (induced by source paper "tight bounds for distributed minimum weight spanning tree verification"):
  with members:
    - "distributed verification and hardness of distributed approximation"
    - "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)