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: "zero error capacity of p ary shift channels and fifo queues"
  Abstract: The objects of study of this paper are communication channels in which the dominant type of noise are symbol shifts, the main motivating examples being timing and bit-shift channels. Two channel models are introduced and their zero-error capacities and zero-error-detection capacities determined by explicit constructions of optimal codes. Model A can be informally described as follows: 1) The information is stored in an    $n $   -cell register, where each cell is either empty or contains a particle of one of    $P $    possible types and 2) due to the imperfections of the device each of the particles may be shifted several cells away from its original position over time. Model B is an abstraction of a single-server queue: 1) The transmitter sends packets from a    $P $   -ary alphabet through a queuing system with an infinite buffer and a first-in-first-out service procedure and 2) each packet is being processed by the server for a random number of time slots. More general models including additional types of noise that the particles/packets can experience are also studied, as are the continuous-time versions of these problems.

Connected through hyperedge HE-1 (induced by source paper "variable length coding for zero error channel capacity"):
  with members:
    - "zero error capacity of duplication channels"
    - "bounds on the reliability of typewriter channels"
    - "the rho capacity of a graph"
    - "uncertain wiretap channels and secure estimation"
    - "rate distance tradeoff for codes above graph capacity"
    - "secure estimation and zero error secrecy capacity"
    - "graph information ratio"
    - "new lower bounds for the shannon capacity of odd cycles"

Connected through hyperedge HE-2 (induced by source paper "runlength limited sequences and shift correcting codes asymptotic analysis"):
  with members:
    - "asymptotically optimal codes correcting fixed length duplication errors in dna storage systems"
    - "codes in the space of multisets coding for permutation channels with impairments"
    - "a note on parallel asynchronous channels with arbitrary skews"
    - "zero error capacity of a class of timing channels"
    - "constant weight and constant charge binary run length limited codes"

Connected through hyperedge HE-3 (induced by source paper "a note on parallel asynchronous channels with arbitrary skews"):
  with members:
    - "zero error capacity of a class of timing 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)