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Paper Citation Record · LEDGER

Deep Operator Neural Network Model Predictive Control

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.18008.

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

pith.paper-citation-record.v1
2505.18008 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:17.574656Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 139fe89b-197f-482b-8347-e7747ab891d3 · outbound

This paper cites Learning nonlinear operators via DeepONet based on the universal approxima- tion theorem of operators,.

Deep Operator Neural Network Model Predictive Control Learning nonlinear operators via DeepONet based on the universal approxima- tion theorem of operators,

Reference 1

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

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Observation 03113a56-d610-43d2-a1f8-cccebe85b684 · outbound

This paper cites Complex valued deep operator network (deeponet)[G]for three dimensional maxwell’s equations:G ∈C m×n,.

Deep Operator Neural Network Model Predictive Control Complex valued deep operator network (deeponet)[G]for three dimensional maxwell’s equations:G ∈C m×n,

Reference 2

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Observation c28cff7d-4112-4998-8ae4-42f620574997 · outbound

This paper cites A neural predictive controller for non- linear systems,.

Deep Operator Neural Network Model Predictive Control A neural predictive controller for non- linear systems,

Reference 3

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

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Observation a3ca51eb-7b5f-46fc-9345-54d24a88b5a5 · outbound

This paper cites Neural networks in model predictive control,.

Deep Operator Neural Network Model Predictive Control Neural networks in model predictive control,

Reference 4

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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 591db793-4479-4060-816e-bae7d679c03e · outbound

This paper cites Nørregard, O.

Deep Operator Neural Network Model Predictive Control Nørregard, O

Reference 5

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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 8f244c4d-fcaa-414d-a355-86c937e19a8b · outbound

This paper cites Learning affine predictors for mpc of nonlinear systems via artificial neural networks,.

Deep Operator Neural Network Model Predictive Control Learning affine predictors for mpc of nonlinear systems via artificial neural networks,

Reference 6

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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 87bc5d54-89e4-45bc-a8e7-1ba1a4b63313 · outbound

This paper cites Deep prediction networks,.

Deep Operator Neural Network Model Predictive Control Deep prediction networks,

Reference 7

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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 73b61f2e-7b6d-42eb-873d-2d32439bb954 · outbound

This paper cites Nonlinear data-driven predictive control using deep subspace prediction networks,.

Deep Operator Neural Network Model Predictive Control Nonlinear data-driven predictive control using deep subspace prediction networks,

Reference 8

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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 8d5303fc-365e-4222-91af-2d461e4ef437 · outbound

This paper cites Long short-term memory,.

Deep Operator Neural Network Model Predictive Control Long short-term memory,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 956b00e5-4e1c-4cf9-af6e-7b865494fcd4 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Deep Operator Neural Network Model Predictive Control Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 10

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Observation 72c2be83-00d4-422a-bc26-5c00a76db475 · outbound

This paper cites Nonlinear mpc for offset-free tracking of systems learned by gru neural networks,.

Deep Operator Neural Network Model Predictive Control Nonlinear mpc for offset-free tracking of systems learned by gru neural networks,

Reference 11

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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 3f24d3e4-ba91-4e96-a6b2-d94bcf079f0f · outbound

This paper cites Advanced predictive control for gru and lstm networks,.

Deep Operator Neural Network Model Predictive Control Advanced predictive control for gru and lstm networks,

Reference 12

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

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Observation 83f54556-c4d2-4814-a3f9-bdf503267b37 · outbound

This paper cites Robust constrained nonlinear model predictive control with gated recurrent unit model,.

Deep Operator Neural Network Model Predictive Control Robust constrained nonlinear model predictive control with gated recurrent unit model,

Reference 13

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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 0329353a-eecf-4ae2-ad5f-9d19cbd94455 · outbound

This paper cites Robust offset-free constrained model predictive control with long short-term memory networks,.

Deep Operator Neural Network Model Predictive Control Robust offset-free constrained model predictive control with long short-term memory networks,

Reference 14

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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 45beb37b-965d-463e-9988-7d2238eed24f · outbound

This paper cites Estimation and mpc control based on gated recurrent unit neural networks with unknown disturbances,.

Deep Operator Neural Network Model Predictive Control Estimation and mpc control based on gated recurrent unit neural networks with unknown disturbances,

Reference 15

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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 39aabae1-dace-4469-96f1-0b68b0b13c6d · outbound

This paper cites Recurrent neural network-based mpc for systems with input and incremental input constraints,.

Deep Operator Neural Network Model Predictive Control Recurrent neural network-based mpc for systems with input and incremental input constraints,

Reference 16

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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 a57884db-bd7b-439e-8146-157e6a3b21e2 · outbound

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

Deep Operator Neural Network Model Predictive Control On recurrent neural networks for learning-based control: Recent results and ideas for future developments,

Reference 17

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Observation 1d7898f7-c917-4826-b412-bbee46787d03 · outbound

This paper cites A tutorial review of neural network modeling approaches for model predictive control,.

Deep Operator Neural Network Model Predictive Control A tutorial review of neural network modeling approaches for model predictive control,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e827676b-6866-4dfe-8519-d634b2b91318 · outbound

This paper cites Physics-informed neural networks-based model predictive control for multi-link manip- ulators,.

Deep Operator Neural Network Model Predictive Control Physics-informed neural networks-based model predictive control for multi-link manip- ulators,

Reference 19

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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 521ae67c-f6d1-4699-81e6-2ed0e0624e68 · outbound

This paper cites Ramp-net: A robust adaptive mpc for quadro- tors via physics-informed neural network,.

Deep Operator Neural Network Model Predictive Control Ramp-net: A robust adaptive mpc for quadro- tors via physics-informed neural network,

Reference 20

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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 76ae4343-d045-47e5-9cf6-1ca7a5fa50cb · outbound

This paper cites Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms,.

Deep Operator Neural Network Model Predictive Control Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms,

Reference 21

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Observation a920d063-b163-4797-b866-d256d3a7d1ee · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Deep Operator Neural Network Model Predictive Control Fourier Neural Operator for Parametric Partial Differential Equations

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 31c4e309-843e-4e86-bdec-b620a89dc8af · outbound

This paper cites Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its applica- tion to dynamical systems,.

Deep Operator Neural Network Model Predictive Control Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its applica- tion to dynamical systems,

Reference 23

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raw_fallback, observed 2026-08-07T14:46:21.748589Z

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

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Observation 11f7842e-817d-4472-9202-b1cb7085bcfb · outbound

This paper cites Deep neural operators as accurate surrogates for shape optimization,.

Deep Operator Neural Network Model Predictive Control Deep neural operators as accurate surrogates for shape optimization,

Reference 24

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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 a5d19fc9-756b-45a8-9029-aa493ca25a03 · outbound

This paper cites Learning two-phase microstructure evolution using neural operators and autoencoder architectures,.

Deep Operator Neural Network Model Predictive Control Learning two-phase microstructure evolution using neural operators and autoencoder architectures,

Reference 25

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

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Observation c72b5d6b-9f4f-4e62-abdb-e7b3177b6324 · outbound

This paper cites Deep operator learning-based surrogate models for aerothermodynamic analysis of AEDC hypersonic waverider.

Deep Operator Neural Network Model Predictive Control Deep operator learning-based surrogate models for aerothermodynamic analysis of AEDC hypersonic waverider

Reference 26

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

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Observation 26909ff3-7aa4-47e2-84a7-4088dc131a28 · outbound

This paper cites Deepm&mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks,.

Deep Operator Neural Network Model Predictive Control Deepm&mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks,

Reference 27

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

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Observation 6be9b408-4193-4f2b-9976-c598a2906971 · outbound

This paper cites Machine learning: Bane or boon for control?: 2023 bode prize lecture,.

Deep Operator Neural Network Model Predictive Control Machine learning: Bane or boon for control?: 2023 bode prize lecture,

Reference 28

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raw_fallback, observed 2026-08-07T14:46:21.063027Z

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 aabdd30b-6c7b-450f-8299-4f58f9799023 · outbound

This paper cites Neural operators of backstepping controller and observer gain functions for reaction–diffusion pdes,.

Deep Operator Neural Network Model Predictive Control Neural operators of backstepping controller and observer gain functions for reaction–diffusion pdes,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec00aa49-5015-49e2-af2b-702210dfe9b8 · outbound

This paper cites Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems.

Deep Operator Neural Network Model Predictive Control Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems

Reference 30

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local_arxiv, observed 2026-08-07T14:46:17.788505Z

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 a2f63f44-3e96-464c-895d-2a2eebaac86f · outbound

This paper cites Mionet: Learning multiple-input operators via tensor product,.

Deep Operator Neural Network Model Predictive Control Mionet: Learning multiple-input operators via tensor product,

Reference 31

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no resolver link, observed 2026-08-07T14:46:16.509593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:16.509593Z digest=sha256:e93cdb20fcd364278b7baf9e5600470b8770f1d77b4d47dd2fc3b522e2a0364b

Observation a4bc96a2-247f-451b-b0ed-94d1d7c16a2c · outbound

This paper cites Deep multi-input and multi-output operator networks method for optimal control of pdes,.

Deep Operator Neural Network Model Predictive Control Deep multi-input and multi-output operator networks method for optimal control of pdes,

Reference 32

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raw_fallback, observed 2026-08-07T14:46:20.872207Z

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 62220f9b-cd98-4ad9-ab09-6434261f17f5 · outbound

This paper cites The no-prop algorithm: A new learning algorithm for multilayer neural networks,.

Deep Operator Neural Network Model Predictive Control The no-prop algorithm: A new learning algorithm for multilayer neural networks,

Reference 33

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raw_fallback, observed 2026-08-07T14:46:20.621048Z

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 429c473f-738a-4e76-87a8-d1a09d88c64a · outbound

This paper cites Neural data–enabled predictive control,.

Deep Operator Neural Network Model Predictive Control Neural data–enabled predictive control,

Reference 34

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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 1840de7b-426e-4929-acd4-d9bf5f36ad63 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Deep Operator Neural Network Model Predictive Control PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7f314647-f0a2-4ead-af86-f9b6705abd8f · outbound

This paper cites Approximation capabilities of multilayer feedforward networks,.

Deep Operator Neural Network Model Predictive Control Approximation capabilities of multilayer feedforward networks,

Reference 36

Resolution
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no resolver link, observed 2026-08-07T14:46:16.936020Z

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Observation 9a0c1ce6-9a80-416d-b32f-afeed766a0df · outbound

This paper cites Approximation with artificial neural networks,.

Deep Operator Neural Network Model Predictive Control Approximation with artificial neural networks,

Reference 37

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

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Observation c6dcaf67-98c7-4260-83dc-c01ae704faf6 · outbound

This paper cites an unresolved cited work.

Deep Operator Neural Network Model Predictive Control Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:46:19.904798Z

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 d658804a-9e14-43da-ab91-7dcdff2bfe4f · outbound

This paper cites Basis-functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations,.

Deep Operator Neural Network Model Predictive Control Basis-functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:19.693343Z

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 20453407-4839-470b-8fe1-36b4e05af1df · outbound

This paper cites Robust training and initialization of deep neural networks: An adap- tive basis viewpoint,.

Deep Operator Neural Network Model Predictive Control Robust training and initialization of deep neural networks: An adap- tive basis viewpoint,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:19.500268Z

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 1804bbe9-7b9a-417d-b139-e0ad4674c54e · outbound

This paper cites Data-Enabled Predictive Control: In the Shallows of the DeePC,.

Deep Operator Neural Network Model Predictive Control Data-Enabled Predictive Control: In the Shallows of the DeePC,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:19.197580Z

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 e24932fb-3f97-4ac3-bef7-9637c0caefd7 · outbound

This paper cites Four MPC implementations compared on the Quadruple Tank Process Benchmark: pros and cons of neural MPC,.

Deep Operator Neural Network Model Predictive Control Four MPC implementations compared on the Quadruple Tank Process Benchmark: pros and cons of neural MPC,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:18.827982Z

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 71ed1e33-bcc6-412b-89a3-110ded69c524 · outbound

This paper cites Swing-up and stabiliza- tion of a cart–pendulum system under restricted cart track length,.

Deep Operator Neural Network Model Predictive Control Swing-up and stabiliza- tion of a cart–pendulum system under restricted cart track length,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:46:18.508891Z

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=2026-08-07T14:46:17.506642Z digest=sha256:d14a66662ecba76af5608a5b822ccd4b189f31c1a10661886a7782c04fa21262

Observation c5f64d1a-3d5c-469d-a75e-bbe8eb11df12 · outbound

This paper cites Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection.

Deep Operator Neural Network Model Predictive Control Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:17.574656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:17.574656Z digest=sha256:64354e2ec5bfdcb274b8767ea63617a6e82631134cad378feeea2b0e465182ec

Pith citing papers

No inbound Pith citation observations are available.