Paper Citation Record · LEDGER

Data-Driven Nonlinear Regulation: Gaussian Process Learning

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.09273.

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

pith.paper-citation-record.v1
2506.09273 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:44.490838Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

32 of 32 outbound references displayed

verified exact1
verified fuzzy30
unresolved1
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35d5d7bd-2154-4cda-8f55-cf4e45d32fe0 · outbound

This paper cites Reinforcement learning is direct adaptive optimal control,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Reinforcement learning is direct adaptive optimal control,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:50.844978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e2fab62-86da-4f7a-870b-1a79b71e998f · outbound

This paper cites The internal model principle of control theory,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning The internal model principle of control theory,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:50.675669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a34f6b1-0afd-40f0-a12e-0dc212390474 · outbound

This paper cites The linear multivariable regulator problem,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning The linear multivariable regulator problem,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:50.511579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b3c26f2-a178-4c4a-8680-8a6bd7222f4f · outbound

This paper cites Limit sets, zero dynamics, and internal models in the problem of nonlinear output regulation,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Limit sets, zero dynamics, and internal models in the problem of nonlinear output regulation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:50.325362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 09f7be0f-4c37-47ec-930c-5ee03e65f336 · outbound

This paper cites Output stabilization via nonlinear luenberger observers,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Output stabilization via nonlinear luenberger observers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:50.150703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e08b0291-be3c-401b-b889-8f69165dc06b · outbound

This paper cites Output regulation by postprocessing internal models for a class of multivariable nonlinear systems,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Output regulation by postprocessing internal models for a class of multivariable nonlinear systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:49.990921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 578e2da5-e76f-4202-9fdd-fbe203a2aadd · outbound

This paper cites On a robust nonlinear servomechanism prob- lem,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning On a robust nonlinear servomechanism prob- lem,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:49.830518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b71b18a5-59df-41d5-9f3d-30d7dc60d83f · outbound

This paper cites Output regulation of nonlinear systems,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Output regulation of nonlinear systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:49.665733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc008cdb-2989-4572-a1ac-0442d268971f · outbound

This paper cites A general framework for tackling the output regulation problem,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning A general framework for tackling the output regulation problem,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:49.515266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a3bae7a5-ee69-4202-93ad-40f15be82d46 · outbound

This paper cites Internal models in control, biology and neuroscience,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Internal models in control, biology and neuroscience,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:49.312240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1150e0d8-9613-46b2-8bde-c3a65365b4c9 · outbound

This paper cites Approximate nonlinear regulation via identification-based adaptive internal models,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Approximate nonlinear regulation via identification-based adaptive internal models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:49.171211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92388bb9-1d0d-422d-bc79-903e1368cc83 · outbound

This paper cites Grasping lightweight objects with chat-pm: a rotorwash-aware motion planning method,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Grasping lightweight objects with chat-pm: a rotorwash-aware motion planning method,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:49.030476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81a0f488-7dd0-4469-b459-d09ccac50314 · outbound

This paper cites About robustness of control systems embedding an internal model,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning About robustness of control systems embedding an internal model,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:48.836984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 702fe12f-71a3-44a9-a72b-2da45d87a152 · outbound

This paper cites Nonparametric Steady-State Learning for Nonlinear Output Feedback Regulation.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Nonparametric Steady-State Learning for Nonlinear Output Feedback Regulation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:59:44.651063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3df37201-e053-41de-9631-966d1a55dde1 · outbound

This paper cites Adaptive output regulation via nonlinear Luenberger observer-based internal models and continuous- time identifiers,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Adaptive output regulation via nonlinear Luenberger observer-based internal models and continuous- time identifiers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:48.643748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42f25013-8ed3-40e8-a892-26bbfc32b614 · outbound

This paper cites Adaptive network traffic control with an integrated model-based and data-driven approach and a decen- tralised solution method,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Adaptive network traffic control with an integrated model-based and data-driven approach and a decen- tralised solution method,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:48.486567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc9d792e-e218-4aa9-96f5-67ab1a97ab85 · outbound

This paper cites Sytab: A class of smooth-transition hybrid terrestrial/aerial bicopters,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Sytab: A class of smooth-transition hybrid terrestrial/aerial bicopters,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:48.273570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation acb0046c-4c82-43bd-a889-001bddd6e4df · outbound

This paper cites Data-driven output regula- tion via Gaussian Processes and Luenberger internal models,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Data-driven output regula- tion via Gaussian Processes and Luenberger internal models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:48.077800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e7923d98-efc1-443b-82f5-0feb2ce9d5a0 · outbound

This paper cites Huang,Nonlinear Output Regulation.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Huang,Nonlinear Output Regulation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:47.853622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0ddb2fb-50de-4a82-b0e2-c721404b1749 · outbound

This paper cites Goedel, R.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Goedel, R

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:47.692578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 75ffa936-c097-4838-8bb3-8171be83c0d4 · outbound

This paper cites Uniform practical nonlinear output regula- tion,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Uniform practical nonlinear output regula- tion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:47.465683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 064d831d-8584-4e4d-a4f4-a1d171509394 · outbound

This paper cites Nonlinear observers for autonomous lipschitz continuous systems,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Nonlinear observers for autonomous lipschitz continuous systems,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:47.268654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4803f64f-d367-4e93-a617-7c4511262a5f · outbound

This paper cites A nonparametric learning framework for nonlinear robust output regulation,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning A nonparametric learning framework for nonlinear robust output regulation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:47.056856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3397b23-50a7-4f98-b567-d41b92dd25e1 · outbound

This paper cites an unresolved cited work.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c83b22df-c799-4c0c-9d1c-a476c00593c7 · outbound

This paper cites Vivarelli,Studies on the Generalisation of Gaussian Processes and Bayesian Neural Networks.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Vivarelli,Studies on the Generalisation of Gaussian Processes and Bayesian Neural Networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:46.420830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bb903290-9ddd-4f54-9edf-105913dd83d4 · outbound

This paper cites Uniform error bounds for gaussian process regression with application to safe control,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Uniform error bounds for gaussian process regression with application to safe control,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:46.180312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0366797-f54a-4ce1-93d3-313ce4dd49ef · outbound

This paper cites Adaptive nonlinear regulation via gaussian processes,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Adaptive nonlinear regulation via gaussian processes,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:45.850889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aafb2f2f-a6cb-4197-a34c-bb99bb0f2eff · outbound

This paper cites Extremum-seeking regulator for a class of nonlinear systems with unknown control direction,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Extremum-seeking regulator for a class of nonlinear systems with unknown control direction,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:45.584874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7afa67fb-a2a3-466d-a7d8-bb2b1b1ed83f · outbound

This paper cites Chen and J.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Chen and J

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:45.362348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation af908951-9460-48c3-a3fd-add660555beb · outbound

This paper cites Global robust output regulation of lower triangular systems with unknown control direction,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Global robust output regulation of lower triangular systems with unknown control direction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:45.195251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8cbbf87-bdd9-459b-8b0d-6277f07351db · outbound

This paper cites Nonlinear control strategies for continuous fermenters,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Nonlinear control strategies for continuous fermenters,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:44.982303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7bef3898-7375-47cb-97b2-58da83307bf7 · outbound

This paper cites Changing supply functions in input/state stable systems,.

Data-Driven Nonlinear Regulation: Gaussian Process Learning Changing supply functions in input/state stable systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:59:44.808213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.