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: "towards a theory of good sat representations"
  Abstract: We aim at providing a foundation of a theory of "good" SAT representations F of boolean functions f. We argue that the hierarchy UC_k of unit-refutation complete clause-sets of level k, introduced by the authors, provides the most basic target classes, that is, F in UC_k is to be achieved for k as small as feasible. If F does not contain new variables, i.e., F is equivalent (as a CNF) to f, then F in UC_1 is similar to "achieving (generalised) arc consistency" known from the literature (it is somewhat weaker, but theoretically much nicer to handle). We show that for polysize representations of boolean functions in this sense, the hierarchy UC_k is strict. The boolean functions for these separations are "doped" minimally unsatisfiable clause-sets of deficiency 1; these functions have been introduced in [Sloan, Soerenyi, Turan, 2007], and we generalise their construction and show a correspondence to a strengthened notion of irredundant sub-clause-sets. Turning from lower bounds to upper bounds, we believe that many common CNF representations fit into the UC_k scheme, and we give some basic tools to construct representations in UC_1 with new variables, based on the Tseitin translation. Note that regarding new variables the UC_1-representations are stronger than mere "arc consistency", since the new variables are not excluded from consideration.

Connected through hyperedge HE-1 (induced by source paper "on sat representations of xor constraints"):
  with members:
    - "generalising unit refutation completeness and slur via nested input resolution"
    - "simulating parity reasoning extended version"
    - "trading inference effort versus size in cnf knowledge compilation"
    - "hardness measures and resolution lower bounds"
    - "unit contradiction versus unit propagation"
    - "extending clause learning sat solvers with complete parity reasoning extended version"
    - "circuit complexity and decompositions of global constraints"

Connected through hyperedge HE-2 (induced by source paper "generalising unit refutation completeness and slur via nested input resolution"):
  with members:
    - "pebble games proof complexity and time space trade offs"
    - "minimization for generalized boolean formulas"
    - "circuit complexity and decompositions of global constraints"
    - "a knowledge compilation map"

Connected through hyperedge HE-3 (induced by source paper "trading inference effort versus size in cnf knowledge compilation"):
  with members:
    - "generalising unit refutation completeness and slur via nested input resolution"
    - "on sat representations of xor constraints"
    - "circuit complexity and decompositions of global constraints"
    - "a knowledge compilation map"

Connected through hyperedge HE-4 (induced by source paper "hardness measures and resolution lower bounds"):
  with members:
    - "on sat representations of xor constraints"
    - "trading inference effort versus size in cnf knowledge compilation"
    - "understanding space in proof complexity separations and trade offs via substitutions"
    - "circuit complexity and decompositions of global constraints"

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.AI(Artificial Intelligence)