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 "towards the capacity of private information retrieval from coded and colluding servers"):
  Abstract: In this work, two practical concepts related to private information retrieval (PIR) are introduced and coined symbol-separated PIR and strongly linear PIR. Being symbol-separated is a sufficient condition for being strongly linear, and strong linearity enables implementation over small finite fields with low sub-packetization degree.  Then, the capacity of MDS-coded, linear, symbol-separated PIR in the presence of colluding servers is derived, as well as the capacity of symmetric, linear PIR with colluding, adversarial, and nonresponsive servers for the recently introduced concept of matched randomness. This positively settles the capacity conjectures stated by Freij-Hollanti et al. and Tajeddine et al. in the presented cases. It is also shown that, further restricting to strongly-linear PIR schemes with deterministic linear interference cancellation, the so-called star product scheme proposed by Freij-Hollanti et al. is essentially optimal and induces no capacity loss.

Includes members:
  Member "on the capacity of private information retrieval from coded colluding and adversarial servers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the capacity of single server weakly private information retrieval")
  Member "lifting private information retrieval from two to any number of messages":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the capacity of single server weakly private information retrieval")
  Member "private information retrieval from coded storage systems with colluding byzantine and unresponsive servers":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "latent variable private information retrieval")
  Member "on the capacity of single server multi message private information retrieval with side information":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "private computation with individual and joint privacy")
  Member "capacity of single server single message private information retrieval with coded side information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "private computation with individual and joint privacy")
  Member "the capacity of private information retrieval from byzantine and colluding databases":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication")
  Member "private information retrieval from mds coded data with colluding servers settling a conjecture by freij hollanti et al":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "latent variable private information retrieval")
  Member "secure symmetric private information retrieval from colluding databases with adversaries":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication")

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.IT(Information Theory)