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: "reducing guesswork via an unreliable oracle"
  Abstract: Alice holds an r.v. $X$, and Bob is trying to guess its value by asking questions of the form "is $X=x$?". Alice answers truthfully and the game terminates once Bob guesses correctly. Before the game begins, Bob is allowed to reach out to an oracle, Carole, and ask her any yes/no question, i.e., a question of the form "is $X\in A$?". Carole is known to lie with a given probability $0\leq p\leq 1/2$. What should Bob ask Carole if he would like to minimize his expected guessing time? When Carole is truthful ($p=0$), it is easy to show that Bob should order the symbol probabilities in descending order, and ask Carole whether the index of $X$ w.r.t. this order is even or odd. We show that this strategy is almost optimal for any lying probability $p$, up to a small additive constant upper bounded by a $1/4$. We discuss a connection to the cutoff rate of the BSC with feedback.

Connected through hyperedge HE-1 (induced by source paper "tight bounds on the r enyi entropy via majorization with applications to guessing and compression"):
  with members:
    - "on the conditional smooth renyi entropy and its applications in guessing and source coding"
    - "maximum entropy interval aggregations"
    - "distributed task encoding"
    - "guessing attacks on distributed storage systems"
    - "bounds on the entropy of a function of a random variable and their applications"
    - "on the renyi divergence joint range of relative entropies and a channel coding theorem"
    - "on the smooth renyi entropy and variable length source coding allowing errors"
    - "encoding tasks and renyi entropy"

Connected through hyperedge HE-2 (induced by source paper "improved bounds on lossless source coding and guessing moments via r e nyi measures"):
  with members:
    - "distributed task encoding"
    - "guessing attacks on distributed storage systems"
    - "sharp bounds on arimoto s conditional r e nyi entropies between two distinct orders"
    - "on empirical cumulant generating functions of code lengths for individual sequences"
    - "f divergence inequalities"
    - "on the smooth renyi entropy and variable length source coding allowing errors"
    - "encoding tasks and renyi entropy"
    - "renyi divergence and kullback leibler divergence"

Connected through hyperedge HE-3 (induced by source paper "guessing with a bit of help"):
  with members:
    - "on the optimal boolean function for prediction under quadratic loss"
    - "password cracking the effect of hash function bias on the average guesswork"
    - "on the entropy of a noisy function"
    - "remarks on the most informative function conjecture at fixed mean"
    - "multi user guesswork and brute force security"
    - "an improved upper bound for the most informative boolean function conjecture"
    - "analysis of boolean functions"
    - "strong data processing inequalities and phi sobolev inequalities for discrete channels"

Connected through hyperedge HE-4 (induced by source paper "minimum guesswork with an unreliable oracle"):
  with members:
    - "guessing revisited a large deviations approach"
    - "guessing under source uncertainty"

Connected through hyperedge HE-5 (induced by source paper "password cracking the effect of hash function bias on the average guesswork"):
  with members:
    - "design and analysis of stability guaranteed pufs"
    - "multi user guesswork and brute force security"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"
    - "guessing a password over a wireless channel on the effect of noise non uniformity"
    - "guessing under source uncertainty"

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)