human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Justification Structures for Document Reuse"
  Abstract: Document drafting|an important problem-solving task of professionals in a wide variety of fields|typifies a design task requiring complex adaptation for case reuse. This paper proposes a framework for document reuse based on an explicit representation of the illocutionary and rhetorical structure underlying documents. Explicit representation of this structure facilitates (1) interpretation of previous documents by enabling them to "explain themselves," (2) construction of documents by enabling document drafters to issue goal-based specifications and rapidly retrieve documents with similar intentional structure, and (3) mainte nance of multi-generation documents.

Connected through hyperedge HE-1 (induced by source paper "CBR for Document Retrieval: The FAllQ Project"):
  with members:
    - "Case Retrieval Nets: Basic Ideas and Extensions"
    - "CBR on Semi-structured Documents: The ExperienceBook and the FAllQ Project"
    - "Applying Case Retrieval Nets to Diagnostic Tasks in Technical Domains"

Question: Please tell me which class the center node 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: Case_Based