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: "resolvability in e γ with applications to lossy compression and wiretap channels"
  Abstract: We study the amount of randomness needed for an input process to approximate a given output distribution of a channel in the E γ  distance. A general one-shot achievability bound for the precision of such an approximation is developed. In the i.i.d. setting where γ = exp(nE), a (nonnegative) randomness rate above inf Q U:D(Qx∥πx)≤E {D(QX∥πX) + (Q X|U ) − E} is necessary and sufficient to asymptotically approximate the output distribution π X ⨂n using the channel Q X ⨂n, where Q U  → Q X|U →Q X . The new resolvability result is then used to derive a oneshot upper bound on the error probability in the rate distortion problem; and a lower bound on the size of the eavesdropper list to include the actual message in the wiretap channel problem. Both bounds are asymptotically tight in i.i.d. settings.

Connected through hyperedge HE-1 (induced by source paper "strong functional representation lemma and applications to coding theorems"):
  with members:
    - "the likelihood encoder for lossy compression"
    - "distributed simulation of continuous random variables"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "exact common information"
    - "variable length compression allowing errors"
    - "a technique for deriving one shot achievability results in network information theory"
    - "distributed channel synthesis"
    - "information equals amortized communication"

Connected through hyperedge HE-2 (induced by source paper "f divergence inequalities"):
  with members:
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "optimal quantization for distribution synthesis"
    - "e_ gamma resolvability"
    - "bounds between contraction coefficients"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "refinement of some moment inequalities"
    - "on the renyi divergence joint range of relative entropies and a channel coding theorem"
    - "tight bounds for symmetric divergence measures and a refined bound for lossless source coding"

Connected through hyperedge HE-3 (induced by source paper "differential privacy as a mutual information constraint"):
  with members:
    - "on the continuity of the secrecy capacity of compound and arbitrarily varying wiretap channels"
    - "on the relation between identifiability differential privacy and mutual information privacy"
    - "the composition theorem for differential privacy"
    - "differential privacy on the trade off between utility and information leakage"
    - "lower bounds in differential privacy"

Connected through hyperedge HE-4 (induced by source paper "e_ gamma resolvability"):
  with members:
    - "f divergence inequalities"
    - "the likelihood encoder for lossy compression"
    - "soft covering with high probability"
    - "bounds among f divergences"
    - "semantic security capacity for wiretap channels of type ii"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "robustness of sparse recovery via f minimization a topological viewpoint"
    - "strong converse and second order asymptotics of channel resolvability"

Connected through hyperedge HE-5 (induced by source paper "bounds among f divergences"):
  with members:
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "f divergence inequalities"
    - "optimal quantization for distribution synthesis"
    - "on the r e nyi divergence and the joint range of relative entropies"
    - "one shot mutual covering lemma and marton s inner bound with a common message"
    - "on the renyi divergence joint range of relative entropies and a channel coding theorem"
    - "tight bounds for symmetric divergence measures and a refined bound for lossless source coding"
    - "concentration of measure inequalities and their communication and information theoretic applications"

Connected through hyperedge HE-6 (induced by source paper "one shot mutual covering lemma and marton s inner bound with a common message"):
  with members:
    - "a technique for deriving one shot achievability results in network information theory"
    - "distributed channel synthesis"
    - "lossy joint source channel coding in the finite blocklength regime"
    - "rate regions for relay broadcast channels"

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)