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 "on the statistical model of source localization based on range difference measurements"):
  Abstract: In this work we study the statistical model of source localization based on Range Difference measurements. We investigate the case of planar localization of a source using a minimal configuration of three non aligned receivers. Our analysis is based on a previous work of the same authors concerning the localization in a noiseless scenario. As the set of feasible measurements is a semialgebraic variety, this investigation makes use of techniques from Algebraic Statistics and Information Geometry.

Includes members:
  Member "source localization and denoising a perspective from the tdoa space":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a geometrical statistical approach to outlier removal for tdoa measurements")
  Member "a geometrical statistical approach to outlier removal for tdoa measurements":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "towards end to end acoustic localization using deep learning from audio signal to source position coordinates")
  Member "tdoa matrices algebraic properties and their application to robust denoising with missing data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards end to end acoustic localization using deep learning from audio signal to source position coordinates")
  Member "a geometric approach to sound source localization from time delay estimates":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "variational bayesian inference for audio visual tracking of multiple speakers")
  Member "tdoabased localization in two dimensions the bifurcation curve":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a geometrical statistical approach to outlier removal for tdoa measurements")

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)