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 "circuit treewidth sentential decision and query compilation"):
  Abstract: The evaluation of a query over a probabilistic database boils down to computing the probability of a suitable Boolean function, the lineage of the query over the database. The method of query compilation approaches the task in two stages: first, the query lineage is implemented (compiled) in a circuit form where probability computation is tractable; and second, the desired probability is computed over the compiled circuit. A basic theoretical quest in query compilation is that of identifying pertinent classes of queries whose lineages admit compact representations over increasingly succinct, tractable circuit classes. Fostering previous work by Jha and Suciu (2012) and Petke and Razgon (2013), we focus on queries whose lineages admit circuit implementations with small treewidth, and investigate their compilability within tame classes of decision diagrams. In perfect analogy with the characterization of bounded circuit pathwidth by bounded OBDD width, we show that a class of Boolean functions has bounded circuit treewidth if and only if it has bounded SDD width. Sentential decision diagrams (SDDs) are central in knowledge compilation, being essentially as tractable as OBDDs but exponentially more succinct. By incorporating constant width SDDs and polynomial size SDDs, we refine the panorama of query compilation for unions of conjunctive queries with and without inequalities.

Includes members:
  Member "tractable lineages on treelike instances limits and extensions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a dichotomy for homomorphism closed queries on probabilistic graphs")
  Member "parameterized compilation lower bounds for restricted cnf formulas":
    also connected through other hyperedges:
      (none)
  Member "sdds are exponentially more succinct than obdds":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the relation between structured d dnnfs and sdds")
  Member "new limits for knowledge compilation and applications to exact model counting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the relation between structured d dnnfs and sdds")
  Member "on the read once property of branching programs and cnfs of bounded treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "regular resolution for cnf of bounded incidence treewidth with few long clauses")
  Member "on obdds for cnfs of bounded treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "connecting knowledge compilation classes and width parameters")
  Member "cliquewidth and knowledge compilation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sdds are exponentially more succinct than obdds")
  Member "the dichotomy of conjunctive queries on probabilistic structures":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "uncertainty annotated databases a lightweight approach for approximating certain answers extended version")

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.LO(Logic in Computer Science)