human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on error detection in asymmetric channels"):
  Abstract: We study the error detection problem in    $ {{q}} $   -ary asymmetric channels, wherein every input symbol    $ {{x}_{{i}}} $    is mapped to an output symbol    $ {{y}_{{i}}} $    satisfying    $ {{y}_{{i}} \geq {x}_{{i}}} $   . A general setting is assumed, where the noise vectors are (potentially) restricted in: 1) the amplitude,    $ {{y}_{{i}} - {x}_{{i }} \leq {a}} $   , 2) the Hamming weight,    $ {\sum _{i=1}^{n} {\mathsf {1}}_{\{y_{i} \neq x_{i}\}} \leq h} $   , and 3) the total weight,    $ {\sum _{i=1}^{n} (y_{i} - x_{i}) \leq t} $   . Optimal codes detecting these types of errors are described for certain sets of parameters    $ {{{a, h, t}}} $   , both in the standard and in the cyclic (   $ {\mathrm {mod}\, q} $   ) version of the problem. It is also demonstrated that these codes are optimal in the large alphabet limit for every    $ {{{a, h, t}}} $    and every block-length    $ {{n}} $   .

Includes members:
  Member "quasi cross lattice tilings with applications to flash memory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "some new results on splitter sets")
  Member "on q ary codes correcting all unidirectional errors of a limited magnitude":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "asymmetric single magnitude four error correcting codes")

Question: Please tell me which class the source paper 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)