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Paper Citation Record · LEDGER

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document

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.

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pith.paper-citation-record.v1
2412.11950 v1

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measured 44 of 44 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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44 of 44 outbound references displayed

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Outbound references

Observation 9a9a5bea-892b-4325-835c-9feab6093310 · outbound

This paper cites Asynchronous distributed gaussian process regression,.

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,

Reference 3

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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,

Reference 4

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This paper cites A sparse covariance function for exact gaussian process inference in large datasets,.

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,

Reference 5

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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,

Reference 6

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This paper cites When Gaussian Process Meets Big Data: A Review of Scalable GPs,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document When Gaussian Process Meets Big Data: A Review of Scalable GPs,

Reference 7

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This paper cites Gaussian processes for high- dimensional, large data sets: A review,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Gaussian processes for high- dimensional, large data sets: A review,

Reference 8

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This paper cites Mixtures of Gaussian Processes,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Mixtures of Gaussian Processes,

Reference 9

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This paper cites Variational mixture of gaussian process experts,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Variational mixture of gaussian process experts,

Reference 10

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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Mixture of Experts: A Literature Survey,

Reference 11

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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Training Products of Experts by Minimizing Contrastive Divergence,

Reference 12

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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,

Reference 13

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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

Reference 14

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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Healing Products of Gaussian Process Experts,

Reference 15

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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,

Reference 16

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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document A Bayesian committee machine,

Reference 17

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Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Distributed Gaussian Processes,

Reference 18

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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

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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,

Reference 20

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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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This paper cites Cooperative Learning with Gaussian Processes for Euler- Lagrange Systems Tracking Control Under Switching Topologies,.

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,

Reference 23

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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,

Reference 25

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This paper cites Collective online learning of gaussian processes in massive multi-agent systems,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Collective online learning of gaussian processes in massive multi-agent systems,

Reference 26

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This paper cites Learning- based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy,.

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,

Reference 28

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This paper cites Coop- erative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered Mechanism,.

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,

Reference 29

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This paper cites Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression,.

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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This paper cites Gaussian process decentral- ized data fusion and active sensing for spatiotemporal traffic modeling and prediction in mobility-on-demand systems,.

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,

Reference 31

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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,

Reference 32

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Source-reported events for the cited work

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This paper cites Decentralized nested gaussian pro- cesses for multi-robot systems,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Decentralized nested gaussian pro- cesses for multi-robot systems,

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 08f99062-7e18-4ab2-aa9a-174e24b79f0e · outbound

This paper cites Distributed multi-agent gaussian regression via finite-dimensional approximations,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Distributed multi-agent gaussian regression via finite-dimensional approximations,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.564494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2e9f1996-29f0-48bc-b3f0-f02651894bf6 · outbound

This paper cites Learning of gaussian processes in distributed and communication limited systems,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Learning of gaussian processes in distributed and communication limited systems,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.547051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e8fb8e08-2dcb-4266-b83b-8fa76c20914b · outbound

This paper cites Aggregating dependent gaussian experts in local approximation,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Aggregating dependent gaussian experts in local approximation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.531165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 505a865f-8900-4f88-b8f0-bd1f3e2f7735 · outbound

This paper cites Gaussian processes on graphs via spectral kernel learning,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Gaussian processes on graphs via spectral kernel learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.514650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 54200e15-b552-4aae-a45e-894327f2857f · outbound

This paper cites Mobile sensor network navigation using gaussian processes with truncated observations,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Mobile sensor network navigation using gaussian processes with truncated observations,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:30:38.160373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 760487cf-3ca7-497a-9aae-03c190ade021 · outbound

This paper cites Multi-Robot Active Sensing and Environmental Model Learning With Distributed Gaussian Process,.

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,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.481989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:30:38.164724Z digest=sha256:1ca5760d17ed133dd6bf1519a41f88857c39350af8fd4e60e483b7a4d2c3a3db

Observation 8ba2d570-372b-4fb2-86f3-5dcea8df976c · outbound

This paper cites Adaptive Sampling and Online Learning in Multi-Robot Sensor Coverage with Mixture of Gaussian Processes,.

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,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.458866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:30:38.170213Z digest=sha256:ea565122ae800dece7c417661d1be58d36e621a825b5290b9c3bbc0fa08d082d

Observation 39473f47-f856-44d7-aa11-8c7d1f89d66b · outbound

This paper cites Resource-Efficient Coop- erative Online Scalar Field Mapping Via Distributed Sparse Gaussian Process Regression,.

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,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.440370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:30:38.175215Z digest=sha256:14e542607b502081b60b41863834fda3bf8d10ef318a3994a69debb631ef069c

Observation d0d9d228-a49d-4e8d-b803-ac3c80c52686 · outbound

This paper cites Learning-based Symbolic Abstractions for Nonlinear Control Systems,.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Learning-based Symbolic Abstractions for Nonlinear Control Systems,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.423183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:30:38.181048Z digest=sha256:f2c63afb4ef01a2cfdc8c3ec60564b14374dd72eea9a8b02b94c473cee8308e4

Observation e2b9aeb6-c285-48c0-ae54-282ab4e8aecf · outbound

This paper cites an unresolved cited work.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:30:38.405946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:30:38.186598Z digest=sha256:c1953a2a51028442f75330c9813b9da95b0f605d7487f57ceb992de197eeb524

Observation 21f4ba58-da34-4a7d-a334-be2418616ef2 · outbound

This paper cites 2068–2077.

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document 2068–2077

Reference 119

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:30:38.870219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.