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: "codes with the identifiable parent property for multimedia fingerprinting"
  Abstract: Let $${\mathcal {C}}$$C be a q-ary code of length n and size M, and $${\mathcal {C}}(i) = \{\mathbf{c}(i) \ | \ \mathbf{c}=(\mathbf{c}(1), \mathbf{c}(2), \ldots , \mathbf{c}(n))^{T} \in {\mathcal {C}}\}$$C(i)={c(i)|c=(c(1),c(2),ź,c(n))TźC} be the set of ith coordinates of $${\mathcal {C}}$$C. The descendant code of a sub-code $${\mathcal {C}}^{'} \subseteq {\mathcal {C}}$$Cź⊆C is defined to be $${\mathcal {C}}^{'}(1) \times {\mathcal {C}}^{'}(2) \times \cdots \times {\mathcal {C}}^{'}(n)$$Cź(1)×Cź(2)×ź×Cź(n). In this paper, we introduce a multimedia analogue of codes with the identifiable parent property (IPP), called multimedia IPP codes or t-MIPPC(n, M, q), so that given the descendant code of any sub-code $${\mathcal {C}}^{'}$$Cź of a multimedia t-IPP code $${\mathcal {C}}$$C, one can always identify, as IPP codes do in the generic digital scenario, at least one codeword in $${\mathcal {C}}^{'}$$Cź. We first derive a general upper bound on the size M of a multimedia t-IPP code, and then investigate multimedia 3-IPP codes in more detail. We characterize a multimedia 3-IPP code of length 2 in terms of a bipartite graph and a generalized packing, respectively. By means of these combinatorial characterizations, we further derive a tight upper bound on the size of a multimedia 3-IPP code of length 2, and construct several infinite families of (asymptotically) optimal multimedia 3-IPP codes of length 2.

Connected through hyperedge HE-1 (induced by source paper "signature codes for weighted binary adder channel and multimedia fingerprinting"):
  with members:
    - "probabilistic existence results for separable codes"
    - "lectures on designing screening experiments"
    - "strongly separable codes"
    - "two level fingerprinting codes"

Connected through hyperedge HE-2 (induced by source paper "probabilistic existence results for parent identifying schemes"):
  with members:
    - "bounds on traceability schemes"
    - "probabilistic existence results for separable codes"

Connected through hyperedge HE-3 (induced by source paper "probabilistic existence results for separable codes"):
  with members:
    - "strongly separable codes"
    - "multimedia ipp codes with efficient tracing"

Connected through hyperedge HE-4 (induced by source paper "multimedia ipp codes with efficient tracing"):
  with members:
    - "probabilistic existence results for parent identifying schemes"
    - "probabilistic existence results for separable codes"
    - "strongly separable codes"

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.IT(Information Theory)