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 "boolean equi propagation for concise and efficient sat encodings of combinatorial problems"):
  Abstract: We present an approach to propagation-based SAT encoding of combinatorial problems, Boolean equi-propagation, where constraints are modeled as Boolean functions which propagate information about equalities between Boolean literals. This information is then applied to simplify the CNF encoding of the constraints. A key factor is that considering only a small fragment of a constraint model at one time enables us to apply stronger, and even complete, reasoning to detect equivalent literals in that fragment. Once detected, equivalences apply to simplify the entire constraint model and facilitate further reasoning on other fragments. Equi-propagation in combination with partial evaluation and constraint simplification provide the foundation for a powerful approach to SAT-based finite domain constraint solving. We introduce a tool called BEE (Ben-Gurion Equi-propagation Encoder) based on these ideas and demonstrate for a variety of benchmarks that our approach leads to a considerable reduction in the size of CNF encodings and subsequent speed-ups in SAT solving times.

Includes members:
  Member "compiling finite domain constraints to sat with bee":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal depth sorting networks")
  Member "boolean equi propagation for optimized sat encoding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal depth sorting networks")
  Member "optimal base encodings for pseudo boolean constraints":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "compiling finite domain constraints to sat with bee the director s cut")
  Member "circuit complexity and decompositions of global constraints":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "bounds on the size of pc and urc formulas")
  Member "logic programming with satisfiability":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "compiling finite domain constraints to sat with bee the director s cut")
  Member "the alldifferent constraint a survey":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "xcsp3 an integrated format for benchmarking combinatorial constrained problems")

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.AI(Artificial Intelligence)