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: "second order asymptotics in fixed length source coding and intrinsic randomness"
  Abstract: Second order asymptotics of fixed-length source coding and intrinsic randomness is discussed with a constant error constraint. There was a difference between optimal rates of fixed-length source coding and intrinsic randomness, which never occurred in the first order asymptotics. In addition, the relation between uniform distribution and compressed data is discussed based on this fact. These results are valid for general information sources as well as independent and identical distributions. A universal code attaining the second order optimal rate is also constructed.

Connected through hyperedge HE-1 (induced by source paper "finite sample analysis of image registration"):
  with members:
    - "estimators for multivariate information measures in general probability spaces"
    - "end to end unsupervised deformable image registration with a convolutional neural network"
    - "a deep metric for multimodal registration"
    - "fundamental limits in multi image alignment"
    - "demystifying fixed k nearest neighbor information estimators"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "asymptotics and non asymptotics for universal fixed to variable source coding"
    - "channels with cost constraints strong converse and dispersion"

Connected through hyperedge HE-2 (induced by source paper "second order asymptotics of sequential hypothesis testing"):
  with members:
    - "reliability of sequential hypothesis testing can be achieved by an almost fixed length test"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "refinement of the random coding bound"
    - "refinement of the sphere packing bound asymmetric channels"

Connected through hyperedge HE-3 (induced by source paper "lossless source coding in the point to point multiple access and random access scenarios"):
  with members:
    - "random access channel coding in the finite blocklength regime"
    - "on the calculation of the minimax converse of the channel coding problem"
    - "on the dispersions of three network information theory problems"
    - "variable length compression allowing errors"
    - "random access an information theoretic perspective"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "second order slepian wolf coding theorems for non mixed and mixed sources"
    - "fixed length lossy compression in the finite blocklength regime"

Connected through hyperedge HE-4 (induced by source paper "variable length source dispersions differ under maximum and average error criteria"):
  with members:
    - "on the conditional smooth renyi entropy and its applications in guessing and source coding"
    - "asymptotics and non asymptotics for universal fixed to variable source coding"
    - "an information spectrum approach to weak variable length source coding with side information"
    - "variable length compression allowing errors"
    - "information spectrum approach to second order coding rate in channel coding"
    - "duality between channel capacity and rate distortion with two sided state information"

Connected through hyperedge HE-5 (induced by source paper "interval algorithm for random number generation information spectrum approach"):
  with members:
    - "second order resolvability intrinsic randomness and fixed length source coding for mixed sources information spectrum approach"
    - "information spectrum approach to second order coding rate in channel coding"
    - "source and channel simulation using arbitrary randomness"

Connected through hyperedge HE-6 (induced by source paper "semi finite length analysis for information theoretic tasks"):
  with members:
    - "physical layer security for rf satellite channels in the finite length regime"
    - "uniform random number generation from markov chains non asymptotic and asymptotic analyses"
    - "strong converse for a degraded wiretap channel via active hypothesis testing"
    - "a tight upper bound for the third order asymptotics for most discrete memoryless channels"
    - "non asymptotic and asymptotic analyses of information processing on markov chains"
    - "the log volume of optimal codes for memoryless channels asymptotically within a few nats"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-7 (induced by source paper "optimum overflow thresholds in variable length source coding allowing non vanishing error probability"):
  with members:
    - "variable length coding with cost allowing non vanishing error probability"
    - "variable length compression allowing errors"

Connected through hyperedge HE-8 (induced by source paper "second order region for gray wyner network"):
  with members:
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "interactive communication for data exchange"
    - "second order asymptotics for the gaussian mac with degraded message sets"
    - "strong successive refinability and rate distortion complexity tradeoff"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "information complexity density and simulation of protocols"
    - "strong converse and second order asymptotics of channel resolvability"
    - "channels with cost constraints strong converse and dispersion"

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)