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: "a statistical mechanical interpretation of instantaneous codes"
  Abstract: In this paper we develop a statistical mechanical interpretation of the noiseless source coding scheme based on an absolutely optimal instantaneous code. The notions in statistical mechanics such as statistical mechanical entropy, temperature, and thermal equilibrium are translated into the context of noiseless source coding. Especially, it is discovered that the temperature 1 corresponds to the average codeword length of an instantaneous code in this statistical mechanical interpretation of noiseless source coding scheme. This correspondence is also verified by the investigation using box-counting dimension. Using the notion of temperature and statistical mechanical arguments, some information-theoretic relations can be derived in the manner which appeals to intuition.

Connected through hyperedge HE-1 (induced by source paper "a statistical mechanical interpretation of algorithmic information theory"):
  with members:
    - "fixed point theorems on partial randomness"
    - "a statistical mechanical interpretation of algorithmic information theory iii composite systems and fixed points"
    - "the tsallis entropy and the shannon entropy of a universal probability"
    - "natural halting probabilities partial randomness and zeta functions"

Connected through hyperedge HE-2 (induced by source paper "phase transition and strong predictability"):
  with members:
    - "a statistical mechanical interpretation of algorithmic information theory"
    - "fixed point theorems on partial randomness"
    - "a statistical mechanical interpretation of algorithmic information theory iii composite systems and fixed points"
    - "natural halting probabilities partial randomness and zeta functions"

Connected through hyperedge HE-3 (induced by source paper "the generalized random energy model and its application to the statistical physics of ensembles of hierarchical codes"):
  with members:
    - "error exponents of erasure list decoding revisited via moments of distance enumerators"
    - "modern coding theory the statistical mechanics and computer science point of view"
    - "relations between random coding exponents and the statistical physics of random codes"
    - "tight bounds for ldpc and ldgm codes under map decoding"

Connected through hyperedge HE-4 (induced by source paper "fixed point theorems on partial randomness"):
  with members:
    - "a statistical mechanical interpretation of algorithmic information theory"
    - "the tsallis entropy and the shannon entropy of a universal probability"
    - "natural halting probabilities partial randomness and zeta functions"

Connected through hyperedge HE-5 (induced by source paper "a statistical mechanical interpretation of algorithmic information theory iii composite systems and fixed points"):
  with members:
    - "a statistical mechanical interpretation of algorithmic information theory"
    - "fixed point theorems on partial randomness"
    - "natural halting probabilities partial randomness and zeta functions"

Connected through hyperedge HE-6 (induced by source paper "relations between random coding exponents and the statistical physics of random codes"):
  with members:
    - "the generalized random energy model and its application to the statistical physics of ensembles of hierarchical codes"
    - "error exponents of optimum decoding for the interference channel"
    - "error exponents of erasure list decoding revisited via moments of distance enumerators"
    - "modern coding theory the statistical mechanics and computer science point of view"
    - "capacity of complexity constrained noise free cdma"

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)