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: "causal state communication"
  Abstract: The problem of state communication over a discrete memoryless channel with discrete memoryless state is studied when the state information is available strictly causally at the encoder. It is shown that block Markov encoding, in which the encoder communicates a description of the state sequence in the previous block by incorporating side information about the state sequence at the decoder, yields the minimum state estimation error. When the same channel is used to send additional independent information at the expense of a higher channel state estimation error, the optimal tradeoff between the rate of the independent information and the state estimation error is characterized via the capacity- distortion function. It is shown that any optimal tradeoff pair can be achieved via rate-splitting. These coding theorems are then extended optimally to the case of causal channel state information at the encoder using the Shannon strategy.

Connected through hyperedge HE-1 (induced by source paper "communication over random parameter quantum channels with parameter estimation"):
  with members:
    - "entanglement assisted capacity of quantum channels with side information"
    - "channel simulation and coded source compression"
    - "a constrained channel coding approach to joint communication and channel estimation"

Connected through hyperedge HE-2 (induced by source paper "communication over quantum channels with parameter estimation"):
  with members:
    - "entanglement assisted capacity of quantum channels with side information"
    - "channel simulation and coded source compression"
    - "a constrained channel coding approach to joint communication and channel estimation"

Connected through hyperedge HE-3 (induced by source paper "cooperative multiple access channels with distributed state information"):
  with members:
    - "on cooperative multiple access channels with delayed csi at transmitters"
    - "multiple access channels with states causally known at transmitters"
    - "fundamental limits of caching"
    - "on the capacity of memoryless finite state multiple access channels with asymmetric state information at the encoders"

Connected through hyperedge HE-4 (induced by source paper "entanglement assisted capacity of quantum channels with side information"):
  with members:
    - "channel simulation and coded source compression"

Connected through hyperedge HE-5 (induced by source paper "state leakage and coordination of actions core of the receiver s knowledge"):
  with members:
    - "information theoretic approach to strategic communication as a hierarchical game"
    - "coordination in distributed networks via coded actions with application to power control"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "rate distortion theory for secrecy systems"
    - "hybrid codes needed for coordination over the point to point channel"
    - "coordination using implicit communication"

Connected through hyperedge HE-6 (induced by source paper "joint state estimation and communication over a state dependent gaussian multiple access channel"):
  with members:
    - "broadcasting information subject to state masking"
    - "hybrid analog digital channel estimation and beamforming training throughput tradeoff"
    - "state amplification subject to masking constraints"
    - "hybrid digital analog codes for source channel broadcast of gaussian sources over gaussian channels"

Connected through hyperedge HE-7 (induced by source paper "joint state sensing and communication optimal tradeoff for a memoryless case"):
  with members:
    - "cooperative radar and communications signaling the estimation and information theory odd couple"

Connected through hyperedge HE-8 (induced by source paper "the zero error feedback capacity of state dependent channels"):
  with members:
    - "coding for the feedback gel fand pinsker channel and the feedforward wyner ziv source"

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)