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 "scarcity of crossing dependencies a direct outcome of a specific constraint"):
  Abstract: The structure of a sentence can be represented as a network where vertices are words and edges indicate syntactic dependencies. Interestingly, crossing syntactic dependencies have been observed to be infrequent in human languages. This leads to the question of whether the scarcity of crossings in languages arises from an independent and specific constraint on crossings. We provide statistical evidence suggesting that this is not the case, as the proportion of dependency crossings of sentences from a wide range of languages can be accurately estimated by a simple predictor based on a null hypothesis on the local probability that two dependencies cross given their lengths. The relative error of this predictor never exceeds #R##N#5#R##N#%#R##N# on average, whereas the error of a baseline predictor assuming a random ordering of the words of a sentence is at least six times greater. Our results suggest that the low frequency of crossings in natural languages is neither originated by hidden knowledge of language nor by the undesirability of crossings per se, but as a mere side effect of the principle of dependency length minimization.

Includes members:
  Member "non crossing dependencies least effort not grammar":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "anti dependency distance minimization in short sequences a graph theoretic approach")
  Member "crossings as a side effect of dependency lengths":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "edge crossings in random linear arrangements")
  Member "the risks of mixing dependency lengths from sequences of different length":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "anti dependency distance minimization in short sequences a graph theoretic approach")
  Member "a stronger null hypothesis for crossing dependencies":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "edge crossings in random linear arrangements")
  Member "random crossings in dependency trees":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "reappraising the distribution of the number of edge crossings of graphs on a sphere")
  Member "hubiness length crossings and their relationships in dependency trees":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "anti dependency distance minimization in short sequences a graph theoretic approach")
  Member "why sov might be initially preferred and then lost or recovered a theoretical framework":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "anti dependency distance minimization in short sequences a graph theoretic approach")

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.CL(Computation and Language)