Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:30:38.186598Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.11950.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:30:38.186598Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9a9a5bea-892b-4325-835c-9feab6093310 · outbound
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Asynchronous distributed gaussian process regression,
Reference 1
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning,
Reference 2
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Sparse gaussian processes using pseudo-inputs,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Variational learning of inducing variables in sparse gaussian processes,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document A sparse covariance function for exact gaussian process inference in large datasets,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document A framework for bayesian optimization in embedded subspaces,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document When Gaussian Process Meets Big Data: A Review of Scalable GPs,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Gaussian processes for high- dimensional, large data sets: A review,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Mixtures of Gaussian Processes,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Variational mixture of gaussian process experts,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Mixture of Experts: A Literature Survey,
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Observation 78bac765-9f39-467c-a354-636b935cbe63 · outbound
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Training Products of Experts by Minimizing Contrastive Divergence,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression,
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Observation bf6143f6-d725-4559-b8f1-6c309eb22792 · outbound
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
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Observation 45d34615-f942-4e1f-a405-5fd11a383b33 · outbound
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Healing Products of Gaussian Process Experts,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Correlated product of experts for sparse gaussian process regression,
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Source-reported events for the cited work
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document A Bayesian committee machine,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Distributed Gaussian Processes,
Reference 18
Source-reported events for the cited work
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Generalized robust bayesian committee machine for large-scale gaussian process regression,
Reference 19
Source-reported events for the cited work
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Nested Kriging predictions for datasets with a large number of observations,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Decentralized nested gaussian pro- cesses for multi-robot systems,
Reference 21
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Cooperative Learning with Gaussian Processes for Euler- Lagrange Systems Tracking Control Under Switching Topologies,
Reference 22
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Whom to Trust? Elective Learning for Distributed Gaussian Process Regression,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Distributed Learning Consensus Control for Unknown Nonlinear Multi- Agent Systems based on Gaussian Processes,
Reference 24
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Collective online learning of gaussian processes in massive multi-agent systems,
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Observation 3c8f8984-6936-4e39-82a2-0afda47d66f2 · outbound
Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Learning- based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy,
Reference 27
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Distributed Online Sparse Gaussian Process Regression for Multi-Agent Coverage Control,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Coop- erative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered Mechanism,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression,
Reference 30
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Gaussian process decentral- ized data fusion and active sensing for spatiotemporal traffic modeling and prediction in mobility-on-demand systems,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Decentralized nested gaussian pro- cesses for multi-robot systems,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Distributed multi-agent gaussian regression via finite-dimensional approximations,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Learning of gaussian processes in distributed and communication limited systems,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Aggregating dependent gaussian experts in local approximation,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Gaussian processes on graphs via spectral kernel learning,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Mobile sensor network navigation using gaussian processes with truncated observations,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Multi-Robot Active Sensing and Environmental Model Learning With Distributed Gaussian Process,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Adaptive Sampling and Online Learning in Multi-Robot Sensor Coverage with Mixture of Gaussian Processes,
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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Resource-Efficient Coop- erative Online Scalar Field Mapping Via Distributed Sparse Gaussian Process Regression,
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Observation 21f4ba58-da34-4a7d-a334-be2418616ef2 · outbound
Reference 119
Source-reported events for the cited work
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No inbound Pith citation observations are available.