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Paper Citation Record · LEDGER

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models

As of 5 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2511.21343.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.21343 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T04:55:36.263833Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation d1625727-108d-4fcc-aa87-098eb3043881 · outbound

This paper cites Model predictive control: Theory and practice—a survey.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Model predictive control: Theory and practice—a survey

Reference 1

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Observation 16e4261f-a9ea-4d83-ab8e-4b33a21545ca · outbound

This paper cites Modeling and predictive control of networked systems via physics-informed neural networks.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Modeling and predictive control of networked systems via physics-informed neural networks

Reference 2

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Observation 61648e1c-8439-4c26-b443-6eaf03d76a11 · outbound

This paper cites Nonlinear MPC design for incrementally ISS systems with application to GRU networks.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Nonlinear MPC design for incrementally ISS systems with application to GRU networks

Reference 3

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Observation 8971fdcc-7fa2-4227-a3bf-21f02dab3a74 · outbound

This paper cites Learning-based MPC for fuel efficient control of autonomous vehicles with discrete gear selection.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Learning-based MPC for fuel efficient control of autonomous vehicles with discrete gear selection

Reference 4

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Observation 49ca090d-e23f-4b9a-b0e4-e3c3d2dc8990 · outbound

This paper cites A survey of uncertainty in deep neural networks.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models A survey of uncertainty in deep neural networks

Reference 5

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Observation 68f615b3-c212-4231-8903-e7a2bdc68d73 · outbound

This paper cites Lifelong learning for monitoring and adaptation of data-based dynam- ical models: a statistical process control approach.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Lifelong learning for monitoring and adaptation of data-based dynam- ical models: a statistical process control approach

Reference 6

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Observation 7b101774-ed70-4b88-84e7-f00ffdda87b3 · outbound

This paper cites Zhang and Y.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Zhang and Y

Reference 7

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Source-reported events for the cited work

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Observation 48963fe0-5674-4e66-9cfd-895144b3d664 · outbound

This paper cites Three types of incremental learning.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Three types of incremental learning

Reference 8

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Observation 422b86eb-a77a-4251-b4ce-be38df3c539a · outbound

This paper cites Explainable data- driven modeling via mixture of experts: Towards effective blending of gray and black-box models.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Explainable data- driven modeling via mixture of experts: Towards effective blending of gray and black-box models

Reference 9

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Observation 0295e4d7-bf52-435b-ad49-a3b3297fa4be · outbound

This paper cites Theory on Mixture-of-Experts in Continual Learning.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Theory on Mixture-of-Experts in Continual Learning

Reference 10

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Observation 7486b52d-ef02-4985-b9eb-b285bb183f91 · outbound

This paper cites Machine learning- based predictive control of nonlinear processes. part i: theory.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Machine learning- based predictive control of nonlinear processes. part i: theory

Reference 11

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Source-reported events for the cited work

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Observation cefd1390-2e59-46e3-b040-7c9872388f0d · outbound

This paper cites Coscl: Cooperation of small continual learners is stronger than a big one.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Coscl: Cooperation of small continual learners is stronger than a big one

Reference 12

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Source-reported events for the cited work

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Observation df639ad5-9046-44c4-8f97-ec8a9dc37121 · outbound

This paper cites Optimizing process economics and operational safety via economic MPC using barrier functions and recurrent neural network models.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Optimizing process economics and operational safety via economic MPC using barrier functions and recurrent neural network models

Reference 13

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Source-reported events for the cited work

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Observation fc2fbcfe-cbd9-4853-a8c8-1a118c173637 · outbound

This paper cites Hierarchical mixtures of experts and the EM algorithm.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Hierarchical mixtures of experts and the EM algorithm

Reference 14

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Observation f0a95099-4810-4993-87ce-82aac18b65e7 · outbound

This paper cites An ensemble neural network framework for im- proving the detection ability of a base control chart in non-parametric profile monitoring.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models An ensemble neural network framework for im- proving the detection ability of a base control chart in non-parametric profile monitoring

Reference 15

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Source-reported events for the cited work

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Observation a82ac29a-c2b1-4ed1-bbef-6ac57b83fbc5 · outbound

This paper cites Continual learning us- ing bayesian neural networks.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Continual learning us- ing bayesian neural networks

Reference 16

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Observation c782c870-b6f7-4956-9373-4bb48f7d5c23 · outbound

This paper cites Neural Network-Based KKL observer for nonlinear discrete-time systems.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Neural Network-Based KKL observer for nonlinear discrete-time systems

Reference 17

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Observation a442dc8e-aaf1-432b-b52b-7af90af44bf1 · outbound

This paper cites Hybrid multi-observer for improving estimation performance.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Hybrid multi-observer for improving estimation performance

Reference 18

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Observation 2498c24e-97de-447c-9a71-9be25ac64b41 · outbound

This paper cites A static reduced-order multiple-model adaptive estimator for noise identification.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models A static reduced-order multiple-model adaptive estimator for noise identification

Reference 19

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Source-reported events for the cited work

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Observation d38cc545-a455-4dae-af81-e7216cf4ed8f · outbound

This paper cites Reconciling deep learning and control theory: recurrent neural networks for model-based control design.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Reconciling deep learning and control theory: recurrent neural networks for model-based control design

Reference 20

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Observation e14432aa-673f-4464-86e1-46ba5efcddb9 · outbound

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Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Unresolved cited work

Reference 21

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Observation 51d34a5e-c7cf-4bdb-b9fa-9cfb9dbe4f7f · outbound

This paper cites Moving horizon estimation.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Moving horizon estimation

Reference 22

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Source-reported events for the cited work

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Observation 02d2aaa0-d787-4da9-8f42-e3d728306c98 · outbound

This paper cites On recurrent neural networks for learning-based control: recent results and ideas for future developments.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models On recurrent neural networks for learning-based control: recent results and ideas for future developments

Reference 23

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Source-reported events for the cited work

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Observation a5d347b7-478f-42e3-8200-d056fe8edf33 · outbound

This paper cites Nonlinear optimization of district heating networks.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Nonlinear optimization of district heating networks

Reference 24

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Observation 57ae4f67-14e6-4b25-bcee-b9077fcdc7ba · outbound

This paper cites On the certainty equivalence principle and the optimal control of partially observed dynamic games.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models On the certainty equivalence principle and the optimal control of partially observed dynamic games

Reference 25

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Source-reported events for the cited work

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Observation 7ca38a24-8683-4925-8c55-905d05d68a7f · outbound

This paper cites Learning, fast and slow: a two-fold algorithm for data-based model adaptation.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Learning, fast and slow: a two-fold algorithm for data-based model adaptation

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3674eed1-8966-4f48-b009-193731f12231 · outbound

This paper cites Optimal management and data-based predictive control of district heating systems: The Novate Milanese experimental case-study.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Optimal management and data-based predictive control of district heating systems: The Novate Milanese experimental case-study

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 45b8f16c-a00c-48e4-96a2-067dda23a7cd · outbound

This paper cites Learning and ensemble based MPC with differential dynamic programming for nuclear power autonomous control.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Learning and ensemble based MPC with differential dynamic programming for nuclear power autonomous control

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 280132a5-fa8d-46fa-84fe-5c7870a6030b · outbound

This paper cites Control-oriented modeling, simulation, and predictive control of district heating net- works.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Control-oriented modeling, simulation, and predictive control of district heating net- works

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b7771a41-d977-4130-bf3f-59ec09096a9d · outbound

This paper cites Development and experimental validation of an open-source model library for district heating network simulation.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Development and experimental validation of an open-source model library for district heating network simulation

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4b3b26df-b630-4789-9b16-c0f089a07ff8 · outbound

This paper cites Physics-informed neural network modeling and predictive control of district heating systems.

Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models Physics-informed neural network modeling and predictive control of district heating systems

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Pith citing papers

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