human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "generalized common information common information extraction and private sources synthesis"):
  Abstract: In literature, two different common informations were defined by G\'acs and K\"orner and by Wyner, respectively. In this paper, we define a generalized version of common information, information-correlation function, by exploiting conditional maximal correlation as a commonness or privacy measure, which encompasses the notions of G\'acs-K\"orner's and Wyner's common informations as special cases. Furthermore, we also study the problems of common information extraction and private sources synthesis, and show that information-correlation function is the optimal rate under a given conditional maximal correlation constraint for the centralized setting versions of these problems. As a side product, some properties on conditional maximal correlation have been derived as well.

Includes members:
  Member "distortion bounds for transmitting correlated sources with common part over mac":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "lossy coding of correlated sources over a multiple access channel necessary conditions and separation results")
  Member "on non interactive simulation of joint distributions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "communication for generating correlation a unifying survey")
  Member "information extraction under privacy constraints":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the information bottleneck problems models connections applications and information theoretic views")
  Member "the henchman problem measuring secrecy by the minimum distortion in a list":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "strategic communication with side information at the decoder")
  Member "maximal correlation secrecy":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a practical approach to navigating the tradeoff between privacy and precise utility")
  Member "distributed channel synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "gaussian approximation of quantization error for estimation from compressed data")
  Member "on maximal correlation hypercontractivity and the data processing inequality studied by erkip and cover":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "intelligence physics and information the tradeoff between accuracy and simplicity in machine learning")
  Member "achievability proof via output statistics of random binning":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "biometric and physical identifiers with correlated noise for controllable private authentication")

Question: Please tell me which class the source paper 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)