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: "on k error linear complexity of pseudorandom binary sequences derived from euler quotients"
  Abstract: We investigate the   \begin{document}$  k$\end{document}  -error linear complexity of pseudorandom binary sequences of period   \begin{document}$ p^{\mathfrak{r}} $\end{document}   derived from the Euler quotients modulo   \begin{document}$ p^{\mathfrak{r}-1} $\end{document}  , a power of an odd prime   \begin{document}$ p $\end{document}   for   \begin{document}$ \mathfrak{r}≥2 $\end{document}  . When   \begin{document}$ \mathfrak{r} = 2 $\end{document}  , this is just the case of polynomial quotients (including Fermat quotients) modulo   \begin{document}$p  $\end{document}  , which has been studied in an earlier work of Chen, Niu and Wu. In this work, we establish a recursive relation on the   \begin{document}$ k $\end{document}  -error linear complexity of the sequences for the case of   \begin{document}$ \mathfrak{r}≥3 $\end{document}  . We also state the exact values of the   \begin{document}$ k $\end{document}  -error linear complexity for the case of   \begin{document}$ \mathfrak{r} = 3 $\end{document}  . From the results, we can find that the   \begin{document}$ k $\end{document}  -error linear complexity of the sequences (of period   \begin{document}$ p^{\mathfrak{r}} $\end{document}  ) does not decrease dramatically for   \begin{document}$ k  .

Connected through hyperedge HE-1 (induced by source paper "linear complexity of a family of binary pq 2 periodic sequences from euler quotients"):
  with members:
    - "new quaternary sequences of even length with optimal auto correlation"
    - "on the k error linear complexity of binary sequences derived from polynomial quotients"
    - "trace representation of pseudorandom binary sequences derived from euler quotients"

Connected through hyperedge HE-2 (induced by source paper "on k error linear complexity of binary sequences derived from euler quotients modulo 2p"):
  with members:
    - "trace representation of pseudorandom binary sequences derived from euler quotients"

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.CR(Cryptography and Security)