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: "the common information of n dependent random variables"
  Abstract: This paper generalizes Wyner's definition of common information of a pair of random variables to that of $N$ random variables. We prove coding theorems that show the same operational meanings for the common information of two random variables generalize to that of $N$ random variables. As a byproduct of our proof, we show that the Gray-Wyner source coding network can be generalized to $N$ source squences with $N$ decoders. We also establish a monotone property of Wyner's common information which is in contrast to other notions of the common information, specifically Shannon's mutual information and G\'{a}cs and K\"{o}rner's common randomness. Examples about the computation of Wyner's common information of $N$ random variables are also given.

Connected through hyperedge HE-1 (induced by source paper "rate memory trade off for caching and delivery of correlated sources"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on coding for cache aided delivery of dynamic correlated content"
    - "broadcast caching networks with two receivers and multiple correlated sources"
    - "optimization of heterogeneous coded caching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "centralized coded caching of correlated contents"
    - "rate memory trade off for the two user broadcast caching network with correlated sources"
    - "information theoretic caching the multi user case"

Connected through hyperedge HE-2 (induced by source paper "on the optimality of secret key agreement via omniscience"):
  with members:
    - "secret key agreement under discussion rate constraints"
    - "compressed secret key agreement maximizing multivariate mutual information per bit"
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "duality between feature selection and data clustering"
    - "info clustering a mathematical theory for data clustering"
    - "incremental and decremental secret key agreement"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "the communication complexity of achieving sk capacity in a class of pin models"

Connected through hyperedge HE-3 (induced by source paper "broadcast caching networks with two receivers and multiple correlated sources"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "centralized coded caching of correlated contents"
    - "rate memory trade off for the two user broadcast caching network with correlated sources"
    - "information theoretic caching the multi user case"
    - "correlation aware distributed caching and coded delivery"
    - "cache aided coded multicast for correlated sources"
    - "a rate distortion approach to caching"

Connected through hyperedge HE-4 (induced by source paper "info clustering a mathematical theory for data clustering"):
  with members:
    - "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"
    - "duality between feature selection and data clustering"
    - "fairness in communication for omniscience"
    - "incremental and decremental secret key agreement"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "iterative merging algorithm for cooperative data exchange"
    - "deep residual learning for image recognition"
    - "the communication complexity of achieving sk capacity in a class of pin models"

Connected through hyperedge HE-5 (induced by source paper "distributed simulation of continuous random variables"):
  with members:
    - "gaussian secure source coding and wyner s common information"
    - "exact common information"
    - "distributed channel synthesis"
    - "the entropy per coordinate of a random vector is highly constrained under convexity conditions"

Connected through hyperedge HE-6 (induced by source paper "secure cascade channel synthesis"):
  with members:
    - "strong coordination over multi hop line networks"
    - "secrecy in cascade networks"
    - "the likelihood encoder for lossy source compression"
    - "strong coordination over a line network"
    - "distributed channel synthesis"
    - "rate distortion theory for secrecy systems"
    - "achievability proof via output statistics of random binning"
    - "secure channel simulation"

Connected through hyperedge HE-7 (induced by source paper "multipartite monotones for secure sampling by public discussion from noisy correlations"):
  with members:
    - "on the duality of additivity and tensorization"
    - "assisted common information with an application to secure two party sampling"
    - "a new upperbound for the oblivious transfer capacity of discrete memoryless channels"
    - "on the efficiency of classical and quantum secure function evaluation"

Connected through hyperedge HE-8 (induced by source paper "some new insights into information decomposition in complex systems based on common information"):
  with members:
    - "quantifying unique information"
    - "assisted common information with an application to secure two party sampling"
    - "quantifying synergistic mutual information"
    - "intersection information based on common randomness"
    - "bivariate measure of redundant information"
    - "shared information new insights and problems in decomposing information in complex systems"
    - "multi user privacy the gray wyner system and generalized common information"
    - "nonnegative decomposition of multivariate information"

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.IT(Information Theory)