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Paper Citation Record · LEDGER

Set-valued regression and cautious suboptimization: From noisy data to optimality

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.07622.

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

pith.paper-citation-record.v1
2506.07622 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:57.924486Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

23 of 23 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83e20b0a-3f22-4adc-9dcf-cb115922f926 · outbound

This paper cites an unresolved cited work.

Set-valued regression and cautious suboptimization: From noisy data to optimality Unresolved cited work

Reference 1

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This paper cites Optimal estimation theory for dynamic systems with set membership uncertainty: An overview,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Optimal estimation theory for dynamic systems with set membership uncertainty: An overview,

Reference 2

Resolution
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Source-reported events for the cited work

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Observation 71066cb9-b0cd-40f6-962b-4914820004eb · outbound

This paper cites Set membership estimation of nonlinear regressions,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Set membership estimation of nonlinear regressions,

Reference 3

Resolution
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Observation acf92923-9720-474e-a6c7-724c9acc06a5 · outbound

This paper cites Lazily adapted constant kinky inference for nonparametric regression and model-reference adaptive control,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Lazily adapted constant kinky inference for nonparametric regression and model-reference adaptive control,

Reference 4

Resolution
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Observation 47693eaf-8832-4b73-a455-f214118ee279 · outbound

This paper cites Hastie, R.

Set-valued regression and cautious suboptimization: From noisy data to optimality Hastie, R

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 76ed8f44-31f3-4e88-8162-0b8266b5f96d · outbound

This paper cites Regression shrinkage and selection via the Lasso,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Regression shrinkage and selection via the Lasso,

Reference 6

Resolution
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Source-reported events for the cited work

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Observation fe259fad-4796-4cbf-b77f-db20d95235ec · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Discovering governing equations from data by sparse identification of nonlinear dynamical systems,

Reference 7

Resolution
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Source-reported events for the cited work

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Observation 8c55a696-031b-4cb9-b162-32dedf12607e · outbound

This paper cites Dynamic mode decomposition of numerical and exper- imental data,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Dynamic mode decomposition of numerical and exper- imental data,

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5702dcfc-3e1b-4664-8d4a-431f572e45a5 · outbound

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Set-valued regression and cautious suboptimization: From noisy data to optimality Dynamic mode decomposition and its variants,

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 8d929aa1-6b62-4f78-a82f-518b29db7011 · outbound

This paper cites an unresolved cited work.

Set-valued regression and cautious suboptimization: From noisy data to optimality Unresolved cited work

Reference 10

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Observation 2ed6eac9-7af2-43ac-818e-3c15afa16c0d · outbound

This paper cites Sparsity-promoting dynamic mode decomposition,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Sparsity-promoting dynamic mode decomposition,

Reference 11

Resolution
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Observation 026ceff8-e799-4121-be23-64eb81d6354f · outbound

This paper cites Ben-Tal, L.

Set-valued regression and cautious suboptimization: From noisy data to optimality Ben-Tal, L

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Set-valued regression and cautious suboptimization: From noisy data to optimality Theory and applica- tions of robust optimization,

Reference 13

Resolution
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Source-reported events for the cited work

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Set-valued regression and cautious suboptimization: From noisy data to optimality Stability of extremum seeking feedback for general nonlinear dynamic systems,

Reference 14

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Set-valued regression and cautious suboptimization: From noisy data to optimality Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 74a92bbf-cb1b-4219-b670-8436d99b36e2 · outbound

This paper cites Solving smooth and nonsmooth multivariable extremum seeking problems by the methods of nonlinear program- ming,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Solving smooth and nonsmooth multivariable extremum seeking problems by the methods of nonlinear program- ming,

Reference 16

Resolution
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Source-reported events for the cited work

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Set-valued regression and cautious suboptimization: From noisy data to optimality Data informativity: a new perspective on data-driven analysis and control,

Reference 17

Resolution
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Source-reported events for the cited work

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Set-valued regression and cautious suboptimization: From noisy data to optimality Quadratic matrix inequalities with applications to data-based control,

Reference 18

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Source-reported events for the cited work

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Set-valued regression and cautious suboptimization: From noisy data to optimality A note on persistency of excitation,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Data-driven simulation of generalized bilinear systems via linear time-invariant embedding,.

Set-valued regression and cautious suboptimization: From noisy data to optimality Data-driven simulation of generalized bilinear systems via linear time-invariant embedding,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 38724f4f-46df-435c-92fd-9046b492521b · outbound

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Set-valued regression and cautious suboptimization: From noisy data to optimality Data-driven stabilization of nonlinear polynomial systems with noisy data,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8fe43363-eb9f-4cdc-a4b6-a426d1d1f454 · outbound

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Set-valued regression and cautious suboptimization: From noisy data to optimality Learning controllers from data via approximate nonlinearity cancellation,

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ee38b77d-7ae1-40b4-a236-181950f7275d · outbound

This paper cites Boyd and L.

Set-valued regression and cautious suboptimization: From noisy data to optimality Boyd and L

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

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