human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "A Characterization of Integral Input to State Stability"):
  Abstract: Just as input to state stability (iss) generalizes the idea of finite gains with respect to supremum norms, the new notion of integral input to state stability (iiss) generalizes the concept of finite gain when using an integral norm on inputs. In this paper, we obtain a necessary and sufficient characterization of the iiss property, expressed in terms of dissipation inequalities.

Includes members:
  Member "A Smooth Converse Lyapunov Theorem for Robust Stability":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "New Characterizations of Input to State Stability")
  Member "New Characterizations of Input to State Stability":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "A Smooth Converse Lyapunov Theorem for Robust Stability")
  Member "FURTHER FACTS ABOUT INPUT TO STATE STABILIZATION "Further facts about input to state stabilization", IEEE":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "New Characterizations of Input to State Stability")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Neural_Networks