Paper Citation Record · LEDGER

Controlled Invariant Sets for Gaussian Process State Space Models

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2407.11256.

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

pith.paper-citation-record.v1
2407.11256 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T22:35:23.389219Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

37 of 37 outbound references displayed

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verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de00b62a-b80a-4907-a44e-5da6706d6e89 · outbound

This paper cites Probabilistic Reachability and Safety for Controlled Discrete Time Stochastic Hybrid Systems.

Controlled Invariant Sets for Gaussian Process State Space Models Probabilistic Reachability and Safety for Controlled Discrete Time Stochastic Hybrid Systems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.773543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fb7e042-4e71-4bb7-81f6-cfb750f562e8 · outbound

This paper cites On Estimation Error Bounds for Receding-Horizon Filters Using Quadratic Boundedness.

Controlled Invariant Sets for Gaussian Process State Space Models On Estimation Error Bounds for Receding-Horizon Filters Using Quadratic Boundedness

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.776955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58aded93-4453-4adc-9839-a8abe0e201a9 · outbound

This paper cites Set Invariance in Control.

Controlled Invariant Sets for Gaussian Process State Space Models Set Invariance in Control

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.766002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b70fd51d-9295-4e65-ab58-9bdec661978a · outbound

This paper cites Linear Matrix Inequalities in System and Control Theory.

Controlled Invariant Sets for Gaussian Process State Space Models Linear Matrix Inequalities in System and Control Theory

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.762373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ebde2e1-7562-423c-b9de-48c0666458e9 · outbound

This paper cites Quadratic Boundedness of Nonlinear Dynamical Systems.

Controlled Invariant Sets for Gaussian Process State Space Models Quadratic Boundedness of Nonlinear Dynamical Systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.769998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d4d73df3-dfda-4b6d-aa6c-2845bdc14095 · outbound

This paper cites Quadratic Boundedness of Nominally Linear Systems.

Controlled Invariant Sets for Gaussian Process State Space Models Quadratic Boundedness of Nominally Linear Systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.798087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3219e9d4-5efc-4aa3-b4a3-1dd592b612f3 · outbound

This paper cites Path Planning Using Positive Invariant Sets.

Controlled Invariant Sets for Gaussian Process State Space Models Path Planning Using Positive Invariant Sets

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.847628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e275788-811c-41e5-bca7-a77991e74d9b · outbound

This paper cites Gaussian Processes for Data-Efficient Learning in Robotics and Control.

Controlled Invariant Sets for Gaussian Process State Space Models Gaussian Processes for Data-Efficient Learning in Robotics and Control

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.739082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f94a548-c067-42e1-b290-e9e6afaaff95 · outbound

This paper cites A Stochastic Games Framework for Verification and Control of Discrete Time Stochastic Hybrid Systems.

Controlled Invariant Sets for Gaussian Process State Space Models A Stochastic Games Framework for Verification and Control of Discrete Time Stochastic Hybrid Systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.750077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b87a2479-d99c-4570-b7e6-27b3e3de3756 · outbound

This paper cites Identification of Gaussian Process State Space Models.

Controlled Invariant Sets for Gaussian Process State Space Models Identification of Gaussian Process State Space Models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.728331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3aeb5ae-d3ff-4880-a9de-5f1463875716 · outbound

This paper cites Variational Gaussian Process State-Space Models.

Controlled Invariant Sets for Gaussian Process State Space Models Variational Gaussian Process State-Space Models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.735204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1873050c-80d4-456c-83ed-b2705671b5a0 · outbound

This paper cites Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC.

Controlled Invariant Sets for Gaussian Process State Space Models Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.720946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b1e79c6-f111-4532-9e94-c04119c5cd6f · outbound

This paper cites Analytical Design and Experimental Verification of Geofencing Control for Aerial Applications.

Controlled Invariant Sets for Gaussian Process State Space Models Analytical Design and Experimental Verification of Geofencing Control for Aerial Applications

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.731955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 459c9374-2571-4041-98e0-324e49762873 · outbound

This paper cites Probabilistic Invariance for Gaussian Process State Space Models.

Controlled Invariant Sets for Gaussian Process State Space Models Probabilistic Invariance for Gaussian Process State Space Models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.724791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85f51d7e-e95e-41c4-b15c-54e15457bb10 · outbound

This paper cites On a Correspondence Between Probabilistic and Robust Invariant Sets for Linear Systems.

Controlled Invariant Sets for Gaussian Process State Space Models On a Correspondence Between Probabilistic and Robust Invariant Sets for Linear Systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.744113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a8e0f54-0939-433a-8285-130beed0bdf2 · outbound

This paper cites Discrete Time Stochastic Hybrid Dynamical Games: Verification & Controller Synthesis.

Controlled Invariant Sets for Gaussian Process State Space Models Discrete Time Stochastic Hybrid Dynamical Games: Verification & Controller Synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.754801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4553ad38-95c6-4bc5-843e-c762ed5306d1 · outbound

This paper cites Probabilistic Set Invariance and Ultimate Boundedness.

Controlled Invariant Sets for Gaussian Process State Space Models Probabilistic Set Invariance and Ultimate Boundedness

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.758686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe25ad77-4a11-4c23-86e6-4ef9a4f3389c · outbound

This paper cites Continuous-Time Probabilistic Ultimate Bounds and Invariant Sets: Computation and Assignment.

Controlled Invariant Sets for Gaussian Process State Space Models Continuous-Time Probabilistic Ultimate Bounds and Invariant Sets: Computation and Assignment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.851496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 60710e3b-9cac-45ce-ad59-8e4042220a68 · outbound

This paper cites YALMIP: A Toolbox for Modeling and Optimization in MATLAB.

Controlled Invariant Sets for Gaussian Process State Space Models YALMIP: A Toolbox for Modeling and Optimization in MATLAB

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.854970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26455070-f65f-4a91-ae32-9c4a3aac93ae · outbound

This paper cites The MOSEK Optimization Toolbox for MATLAB Manual.

Controlled Invariant Sets for Gaussian Process State Space Models The MOSEK Optimization Toolbox for MATLAB Manual

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.858388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f71462f-a415-411c-9c69-3712d984343b · outbound

This paper cites Data-Driven Synthesis of Robust Invariant Sets and Controllers.

Controlled Invariant Sets for Gaussian Process State Space Models Data-Driven Synthesis of Robust Invariant Sets and Controllers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.844136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8fd9fe7b-0e69-4a5c-a4bd-12b5b0fb9ebf · outbound

This paper cites Probabilistic ultimate bounds and invariant sets in nonlinear systems.

Controlled Invariant Sets for Gaussian Process State Space Models Probabilistic ultimate bounds and invariant sets in nonlinear systems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.832861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68ea40c4-61f3-40c5-b386-86ae227414a4 · outbound

This paper cites Gaussian Processes for Machine Learning , volume 2.

Controlled Invariant Sets for Gaussian Process State Space Models Gaussian Processes for Machine Learning , volume 2

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.839955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cca5c234-fdcb-43e8-ac3c-fe89615b14a9 · outbound

This paper cites Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning.

Controlled Invariant Sets for Gaussian Process State Space Models Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.824159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3cce7b23-4bb2-45d2-9126-485fa83c8c6b · outbound

This paper cites Direct and Inverse Addition in Convex Analysis and Applications.

Controlled Invariant Sets for Gaussian Process State Space Models Direct and Inverse Addition in Convex Analysis and Applications

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.815588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 56b94146-22cc-4861-a9b1-e21b2d40cf63 · outbound

This paper cites An Engineering Method for Safety Region Development.

Controlled Invariant Sets for Gaussian Process State Space Models An Engineering Method for Safety Region Development

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.810489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0537a9e6-a1b7-4616-a29f-7fe3dfc7dbbd · outbound

This paper cites Computationally Efficient Bayesian Learning of Gaussian Process State Space Models.

Controlled Invariant Sets for Gaussian Process State Space Models Computationally Efficient Bayesian Learning of Gaussian Process State Space Models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.820342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44b56288-84db-421f-834d-e46cb3495e2f · outbound

This paper cites Learning for Safety-Critical Control with Control Barrier Functions.

Controlled Invariant Sets for Gaussian Process State Space Models Learning for Safety-Critical Control with Control Barrier Functions

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.828217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c64c671-21ee-45a6-a444-24ce79a8ca37 · outbound

This paper cites State- Space Inference and Learning with Gaussian Processes.

Controlled Invariant Sets for Gaussian Process State Space Models State- Space Inference and Learning with Gaussian Processes

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.836307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f3b6b43-39d2-4edb-882b-92c2ae174fc4 · outbound

This paper cites Learning Stochastically Stable Gaussian Process State–Space Models.

Controlled Invariant Sets for Gaussian Process State Space Models Learning Stochastically Stable Gaussian Process State–Space Models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.862126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ed5b3d2-532e-4aff-87d6-365c2e2fbe84 · outbound

This paper cites Safe Learning of Quadrotor Dynamics Using Barrier Certificates.

Controlled Invariant Sets for Gaussian Process State Space Models Safe Learning of Quadrotor Dynamics Using Barrier Certificates

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.790513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d25ee2be-e2fb-4154-a583-f61266c7b0f9 · outbound

This paper cites Learning While Tracking: A Practical System Based on Variational Gaussian Process State-Space Model and Smartphone Sensory Data.

Controlled Invariant Sets for Gaussian Process State Space Models Learning While Tracking: A Practical System Based on Variational Gaussian Process State-Space Model and Smartphone Sensory Data

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.794292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f880867-526c-42aa-832a-fa2fb0ef523c · outbound

This paper cites A Gaussian Process State Space Model Fusion Physical Model and Residual Analysis for Fatigue Evaluation.

Controlled Invariant Sets for Gaussian Process State Space Models A Gaussian Process State Space Model Fusion Physical Model and Residual Analysis for Fatigue Evaluation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.801708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8aad0ea0-e9ac-4a64-993d-54dbd612229b · outbound

This paper cites Gaussian Process-Integrated State Space Model for Continuous Joint Angle Prediction from EMG and Interactive Force in a Human-Exoskeleton System.

Controlled Invariant Sets for Gaussian Process State Space Models Gaussian Process-Integrated State Space Model for Continuous Joint Angle Prediction from EMG and Interactive Force in a Human-Exoskeleton System

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.787264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 090c883c-7b1d-4051-ad5d-433c9d714f5e · outbound

This paper cites The Schur Complement and Its Applications, volume 4.

Controlled Invariant Sets for Gaussian Process State Space Models The Schur Complement and Its Applications, volume 4

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.780546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66cf7a0c-9f10-45bb-83bc-8edc8f490e28 · outbound

This paper cites Automata-Based Controller Synthesis for Stochastic Systems: A Game Framework via Approximate Probabilistic Relations.

Controlled Invariant Sets for Gaussian Process State Space Models Automata-Based Controller Synthesis for Stochastic Systems: A Game Framework via Approximate Probabilistic Relations

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.783623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a879aa5-0b3d-4dc0-bec5-41dc042b7c93 · outbound

This paper cites Synthesizing Safety Controllers for Uncertain Linear Systems: A Direct Data-Driven Approach.

Controlled Invariant Sets for Gaussian Process State Space Models Synthesizing Safety Controllers for Uncertain Linear Systems: A Direct Data-Driven Approach

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T22:35:51.805862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

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