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: "strong functional representation lemma and applications to coding theorems"
  Abstract: This paper shows that for any random variables $X$ and $Y$, it is possible to represent $Y$ as a function of $(X,Z)$ such that $Z$ is independent of $X$ and $I(X;Z|Y)\le\log(I(X;Y)+1)+4$. We use this strong functional representation lemma (SFRL) to establish a tighter bound on the rate needed for one-shot exact channel simulation than was previously established by Harsha et. al., and to establish achievability results for one-shot variable-length lossy source coding, multiple description coding and Gray-Wyner system. We also show that the SFRL can be used to reduce the channel with state noncausally known at the encoder to a point-to-point channel, which provides a simple achievability proof of the Gelfand-Pinsker theorem. Finally we present an example in which the SFRL inequality is tight to within 5 bits.

Connected through hyperedge HE-1 (induced by source paper "communication for generating correlation a unifying survey"):
  with members:
    - "secret key capacity for multipleaccess channel with public feedback"
    - "exact exponent for soft covering"
    - "exact channel synthesis"
    - "strong converse using change of measure arguments"
    - "coding for positive rate in the source model key agreement problem"
    - "wiretap channels nonasymptotic fundamental limits"
    - "channel resolvability theorems for general sources and channels"
    - "resource efficient common randomness and secret key schemes"

Connected through hyperedge HE-2 (induced by source paper "sharp bounds for mutual covering"):
  with members:
    - "exact soft covering exponent"
    - "a unified framework for one shot achievability via the poisson matching lemma"
    - "secret key generation with limited interaction"
    - "the likelihood encoder for lossy compression"
    - "the generalized stochastic likelihood decoder random coding and expurgated bounds"
    - "on non interactive simulation of joint distributions"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "one shot marton inner bound for classical quantum broadcast channel"

Connected through hyperedge HE-3 (induced by source paper "minimum entropy couplings and their applications"):
  with members:
    - "bounds on the entropy of a function of a random variable and their applications"
    - "mutual information bounds via adjacency events"
    - "entropic causal inference"
    - "on the entropy of couplings"
    - "sumset and inverse sumset inequalities for differential entropy and mutual information"
    - "entropic inequalities and marginal problems"
    - "entropy bounds for discrete random variables via maximal coupling"
    - "a metric between probability distributions on finite sets of different cardinalities and applications to order reduction"

Connected through hyperedge HE-4 (induced by source paper "on exact and infty r enyi common informations"):
  with members:
    - "corrections to wyner s common information under r enyi divergence measures"
    - "exact channel synthesis"
    - "distributed simulation of continuous random variables"
    - "generalized common information common information extraction and private sources synthesis"
    - "exact common information"
    - "a generalized typicality for abstract alphabets"
    - "renyi divergence and kullback leibler divergence"
    - "wyner s common information generalizations and a new lossy source coding interpretation"

Connected through hyperedge HE-5 (induced by source paper "a unified framework for one shot achievability via the poisson matching lemma"):
  with members:
    - "minimax learning for remote prediction"
    - "the likelihood encoder for lossy compression"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "a technique for deriving one shot achievability results in network information theory"
    - "on the dispersions of the gel fand pinsker channel and dirty paper coding"
    - "non asymptotic output statistics of random binning and its applications"
    - "distributed channel synthesis"
    - "lossy joint source channel coding in the finite blocklength regime"

Connected through hyperedge HE-6 (induced by source paper "exact channel synthesis"):
  with members:
    - "on exact and infty r enyi common informations"
    - "distributed simulation of continuous random variables"
    - "generalized common information common information extraction and private sources synthesis"
    - "exact common information"
    - "wyner s common information generalizations and a new lossy source coding interpretation"
    - "simulation of a channel with another channel"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"

Connected through hyperedge HE-7 (induced by source paper "minimax learning for remote prediction"):
  with members:
    - "minimax statistical learning with wasserstein distances"
    - "multiterminal source coding under logarithmic loss"

Connected through hyperedge HE-8 (induced by source paper "extended gray wyner system with complementary causal side information"):
  with members:
    - "synergy redundancy and common information"
    - "notes on information theoretic privacy"
    - "assisted common information with an application to secure two party sampling"
    - "tension bounds for information complexity"
    - "from the information bottleneck to the privacy funnel"
    - "distributed channel synthesis"
    - "on maximal correlation hypercontractivity and the data processing inequality studied by erkip and cover"
    - "multiterminal source coding with complementary delivery"

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)