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: "ceres in propositional proof schemata"
  Abstract: Cut-elimination is one of the most famous problems in proof theory, and it was defined and solved for first-order sequent calculus by Gentzen in his celebrated Hauptsatz. Ceres is a different cut-elimination algorithm for first- and higher-order classical logic. Ceres was extended to proof schemata, which are templates for usual first-order proofs, with parameters for natural numbers. However, while Ceres is known to be a complete cut-elimination algorithm for first-order logic, it is not clear whether this holds for first-order schemata too: given in input a proof schema with cuts, does Ceres always produce a schema for a cut-free proof? The difficult step is finding and representing an appropriate refutation schema for the characteristic term schema of a proof schema. In this thesis, we progress in solving this problem by restricting Ceres to propositional schemata, which are templates for propositional proofs. By limiting adequately the expressivity of propositional schemata and proof schemata, we aim at providing a version of schematic Ceres which is a complete cut-elimination algorithm for propositional schemata. We focus on one particular step of Ceres: resolution refutation schemata. First, we prove that by naively adapting Ceres for first-order schemata to our case, we end up with an incomplete algorithm. Then, we modify slightly the concept of resolution refutation schema: to refute a clause set, first we bring it to a generic form, and then we use a fixed refutation of that generic clause set. Our variation of schematic Ceres is the first step towards completeness with respect to propositional schemata.

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.LO(Logic in Computer Science)