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 "on dispersions of discrete memoryless channels with noncausal state information at the encoder"):
  Abstract: In this paper, we study the finite blocklength limits of state-dependent discrete memoryless channels where the discrete memoryless state is known noncausally at the encoder. For the point-to-point case, this is known as the Gel'fand-Pinsker channel model. We define the (n,\epsilon)-capacity of the Gel'fand-Pinsker channel as the maximal rate of transmission of a message subject to the condition that the length of the block-code is n and the average error probability is no larger than \epsilon. This paper provides a lower bound for the (n,\epsilon)-capacity of the Gel'fand-Pinsker channel model, and hence an upper bound on the dispersion, a fundamental second-order quantity in the study of the performance limits of discrete memoryless channels. In addition, we extend the work of Y. Steinberg (2005), in which the (degraded) broadcast channel extension of the Gel'fand-Pinsker model was studied. We provide and inner bound to the (n,\epsilon)-capacity region for this broadcast channel model using a combination of ideas of Gel'fand-Pinsker coding, superposition coding and dispersion (finite blocklength) analysis.

Includes members:
  Member "on the dispersions of three network information theory problems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "gaussian multiple and random access in the finite blocklength regime")
  Member "finite dimensional infinite constellations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the decoding of barnes wall lattices")
  Member "the dispersion of lossy source coding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sparse regression codes")
  Member "the dispersion of joint source channel coding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a lower bound on the expected distortion of joint source channel coding")
  Member "the gelfand pinsker channel strong converse and upper bound for the reliability function":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wiretap and gelfand pinsker channels analogy and its applications")
  Member "information spectrum approach to second order coding rate in channel coding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "finite sample analysis of image registration")
  Member "capacity and random coding exponents for channel coding with side information":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the capacity of the carbon copy onto dirty paper channel")

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)