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 "modern coding theory the statistical mechanics and computer science point of view"):
  Abstract: These are the notes for a set of lectures delivered by the two authors at the Les Houches Summer School on `Complex Systems' in July 2006. They provide an introduction to the basic concepts in modern (probabilistic) coding theory, highlighting connections with statistical mechanics. We also stress common concepts with other disciplines dealing with similar problems that can be generically referred to as `large graphical models'. #R##N#While most of the lectures are devoted to the classical channel coding problem over simple memoryless channels, we present a discussion of more complex channel models. We conclude with an overview of the main open challenges in the field.

Includes members:
  Member "on the asymptotic weight and stopping set distribution of regular ldpc ensembles":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the approximate maximum likelihood certificate")
  Member "counting good truth assignments of random k sat formulae":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "counting solutions to random cnf formulas")
  Member "the generalized area theorem and some of its consequences":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "reed muller codes theory and algorithms")
  Member "tight bounds for ldpc and ldgm codes under map decoding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "accuracy memory tradeoffs and phase transitions in belief propagation")
  Member "density evolution for asymmetric memoryless channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "asymptotic analysis on ldpc bicm scheme for compute and forward relaying")
  Member "finite length scaling for iteratively decoded ldpc ensembles":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "finite length scaling of spatially coupled ldpc codes under window decoding over the bec")
  Member "a new look at survey propagation and its generalizations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "streamlining variational inference for constraint satisfaction problems")

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)