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 "entropy bounds for grammar based tree compressors"):
  Abstract: The definition of $k^{th}$-order empirical entropy of strings is extended to node labelled binary trees. A suitable binary encoding of tree straight-line programs (that have been used for grammar-based tree compression before) is shown to yield binary tree encodings of size bounded by the $k^{th}$-order empirical entropy plus some lower order terms. This generalizes recent results for grammar-based string compression to grammar-based tree compression.

Includes members:
  Member "grammar based compression of unranked trees":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "balancing straight line programs")
  Member "using statistical encoding to achieve tree succinctness never seen before":
    also connected through other hyperedges:
      (none)
  Member "entropy bounds for grammar compression":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the smallest grammar problem revisited")
  Member "a universal tree balancing theorem":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "balancing straight line programs")
  Member "universal tree source coding using grammar based compression":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "average case analysis of leaf centric binary tree sources")
  Member "a universal grammar based code for lossless compression of binary trees":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "average case analysis of leaf centric binary tree sources")
  Member "large alphabets and incompressibility":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "lempel ziv like parsing in small space")
  Member "identifying hierarchical structure in sequences a linear time algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cocopie making mobile ai sweet as pie compression compilation co design goes a long way")

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.DS(Data Structures and Algorithms)