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 proof of the strong converse theorem for gaussian multiple access channels"
  Abstract: We prove the strong converse for the    $N$   -source Gaussian multiple access channel. In particular, we show that any rate tuple that can be supported by a sequence of codes with asymptotic average error probability <1 must lie in the Cover–Wyner capacity region. Our proof consists of the following. First, we perform an expurgation step to convert any given sequence of codes with asymptotic average error probability <1 to codes with asymptotic maximal error probability <1. Second, we quantize the input alphabets with an appropriately chosen resolution. Upon quantization, we apply the wringing technique (by Ahlswede) on the quantized inputs to obtain further subcodes from the subcodes obtained in the expurgation step, so that the resultant correlations among the symbols transmitted by the different sources vanish as the blocklength grows. Finally, we derive upper bounds on achievable sum-rates of the subcodes in terms of the type-II error of a binary hypothesis test. These upper bounds are then simplified through judicious choices of auxiliary output distributions. Our strong converse result carries over to the Gaussian interference channel under strong interference as long as the sum of the two asymptotic average error probabilities <1.

Connected through hyperedge HE-1 (induced by source paper "gaussian multiple and random access in the finite blocklength regime"):
  with members:
    - "fundamental limits of many user mac with finite payloads and fading"
    - "lossless source coding in the point to point multiple access and random access scenarios"
    - "random access channel coding in the finite blocklength regime"
    - "capacity of gaussian many access channels"
    - "the third order term in the normal approximation for the awgn channel"
    - "many access channels the gaussian case with random user activities"
    - "on the dispersions of three network information theory problems"
    - "second order rate region of constant composition codes for the multiple access channel"

Connected through hyperedge HE-2 (induced by source paper "exponential strong converse for successive refinement with causal decoder side information"):
  with members:
    - "strong converse using change of measure arguments"
    - "exponential strong converse for content identification with lossy recovery"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "new strong converse for asymmetric broadcast channels"
    - "exponent function for one helper source coding problem at rates outside the rate region"
    - "strong successive refinability and rate distortion complexity tradeoff"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "on cooperative multiple access channels with delayed csi at transmitters"

Connected through hyperedge HE-3 (induced by source paper "strong converse using change of measure arguments"):
  with members:
    - "a new proof of nonsignalling multiprover parallel repetition theorem"
    - "communication for generating correlation a survey"
    - "communication for generating correlation a unifying survey"
    - "improved finite blocklength converses for slepian wolf coding via linear programming"
    - "second order region for gray wyner network"
    - "strong converses are just edge removal properties"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "wiretap channel capacity secrecy criteria strong converse and phase change"

Connected through hyperedge HE-4 (induced by source paper "generalized fano type inequality for countably infinite systems with list decoding"):
  with members:
    - "operational interpretation of renyi information measures via composite hypothesis testing against product and markov distributions"
    - "asymptotic coupling and its applications in information theory"
    - "concentration of measure inequalities in information theory communications and coding second edition"
    - "renyi divergence and kullback leibler divergence"
    - "some properties of renyi entropy over countably infinite alphabets"
    - "entropy bounds for discrete random variables via maximal coupling"
    - "exponential decreasing rate of leaked information in universal random privacy amplification"

Connected through hyperedge HE-5 (induced by source paper "random access channel coding in the finite blocklength regime"):
  with members:
    - "lossless source coding in the point to point multiple access and random access scenarios"
    - "capacity of gaussian many access channels"
    - "many access channels the gaussian case with random user activities"
    - "on the dispersions of three network information theory problems"
    - "aloha random access that operates as a rateless code"
    - "second order rate region of constant composition codes for the multiple access channel"
    - "random access an information theoretic perspective"

Connected through hyperedge HE-6 (induced by source paper "exponential strong converse for content identification with lossy recovery"):
  with members:
    - "refined asymptotics for rate distortion using gaussian codebooks for arbitrary sources"
    - "second order region for gray wyner network"
    - "the dispersion of universal joint source channel coding for arbitrary sources and additive channels"
    - "non asymptotic converse bounds and refined asymptotics for two lossy source coding problems"
    - "wyner s common information under r enyi divergence measures"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "new strong converse for asymmetric broadcast channels"
    - "achievable moderate deviations asymptotics for streaming compression of correlated sources"

Connected through hyperedge HE-7 (induced by source paper "strong converses are just edge removal properties"):
  with members:
    - "on the impact of a single edge on the network coding capacity"
    - "on the capacity advantage of a single bit"
    - "smoothing brascamp lieb inequalities and strong converses for common randomness generation"
    - "exponent function for one helper source coding problem at rates outside the rate region"
    - "strong converse exponent for degraded broadcast channels at rates outside the capacity region"
    - "strong converse theorems for degraded broadcast channels with feedback"
    - "equivalence for networks with adversarial state"
    - "a case where interference does not affect the channel dispersion"

Connected through hyperedge HE-8 (induced by source paper "on gaussian macs with variable length feedback and non vanishing error probabilities"):
  with members:
    - "common message broadcast channels with feedback in the nonasymptotic regime full feedback"
    - "nonasymptotic coding rate bounds for binary erasure channels with feedback"
    - "variable length coding with stop feedback for the common message broadcast channel in the nonasymptotic regime"
    - "on gaussian channels with feedback under expected power constraints and with non vanishing error probabilities"
    - "on using feedback in a gaussian channel"
    - "broadcasting a common message with variable length stop feedback codes"
    - "on the dispersions of three network information theory problems"
    - "capacity and coding for the ising channel with feedback"

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)