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Paper Citation Record · LEDGER

Controller Design for Bilinear Neural Feedback Loops

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.24106.

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

pith.paper-citation-record.v1
2505.24106 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:43:49.376792Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

21 of 21 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f475b9e-34c2-4cd1-a602-fb866e5f3777 · outbound

This paper cites Reachability analysis of neural feedback loops,.

Controller Design for Bilinear Neural Feedback Loops Reachability analysis of neural feedback loops,

Reference 1

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Observation acc41daa-79ea-4562-862f-a198bf145923 · outbound

This paper cites Reach-SDP: Reach- ability analysis of closed-loop systems with neural network controllers via semidefinite programming,.

Controller Design for Bilinear Neural Feedback Loops Reach-SDP: Reach- ability analysis of closed-loop systems with neural network controllers via semidefinite programming,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3138fb7c-87bd-4381-9071-c24d36d549f3 · outbound

This paper cites ReachNN: Reachability analysis of neural-network controlled systems,.

Controller Design for Bilinear Neural Feedback Loops ReachNN: Reachability analysis of neural-network controlled systems,

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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Observation eb518168-4365-429b-bd08-f5165ca007da · outbound

This paper cites Reachability analysis for neural feedback systems using regressive polynomial rule inference,.

Controller Design for Bilinear Neural Feedback Loops Reachability analysis for neural feedback systems using regressive polynomial rule inference,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d9ec46f8-4909-4de8-ab0d-cbb243851ad0 · outbound

This paper cites Robust guarantees for perception-based control,.

Controller Design for Bilinear Neural Feedback Loops Robust guarantees for perception-based control,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 812d6b8a-7be3-4717-ad1e-ad74612733ca · outbound

This paper cites Stability Margins of Neural Network Controllers.

Controller Design for Bilinear Neural Feedback Loops Stability Margins of Neural Network Controllers

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 98018765-213f-4ba5-b690-f3a64a733c83 · outbound

This paper cites Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees.

Controller Design for Bilinear Neural Feedback Loops Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7b970c3e-ac99-4afd-a750-bafcc5490698 · outbound

This paper cites Deep networks for system identification: a survey,.

Controller Design for Bilinear Neural Feedback Loops Deep networks for system identification: a survey,

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4c566545-97d1-46bd-834c-5a8ceed59bff · outbound

This paper cites Modeling Nonlinear Control Systems via Koopman Control Family: Universal Forms and Subspace Invariance Proximity.

Controller Design for Bilinear Neural Feedback Loops Modeling Nonlinear Control Systems via Koopman Control Family: Universal Forms and Subspace Invariance Proximity

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18060577-02d8-4207-9285-660294cbc888 · outbound

This paper cites Control of bilinear systems using gain-scheduling: Stability and performance guarantees,.

Controller Design for Bilinear Neural Feedback Loops Control of bilinear systems using gain-scheduling: Stability and performance guarantees,

Reference 10

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 1d446e94-20b7-413a-a771-3c601b61d824 · outbound

This paper cites Implicit deep learning,.

Controller Design for Bilinear Neural Feedback Loops Implicit deep learning,

Reference 11

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Source-reported events for the cited work

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Observation 14d6f92c-b058-4821-bfe4-75f8095bf411 · outbound

This paper cites Efficient and accurate estimation of Lipschitz constants for deep neural networks,.

Controller Design for Bilinear Neural Feedback Loops Efficient and accurate estimation of Lipschitz constants for deep neural networks,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b014b267-cb17-4f02-a2fe-e887116f8cdf · outbound

This paper cites Zhou and J.

Controller Design for Bilinear Neural Feedback Loops Zhou and J

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4af9fac6-f1cd-47fd-a3be-7201d5a8f676 · outbound

This paper cites Linear matrix inequalities in control,.

Controller Design for Bilinear Neural Feedback Loops Linear matrix inequalities in control,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7758fae9-ae89-4ea8-8ad1-f7163015d3fa · outbound

This paper cites LPV control and full block multipliers,.

Controller Design for Bilinear Neural Feedback Loops LPV control and full block multipliers,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8d5b09a6-d1df-44f6-89e8-87b28859c944 · outbound

This paper cites Extremal characterizations of the Schur complement and resulting inequalities,.

Controller Design for Bilinear Neural Feedback Loops Extremal characterizations of the Schur complement and resulting inequalities,

Reference 16

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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 2026-08-18T06:34:40.430872+00:00.

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Observation aecffaa6-88d7-4060-9ed8-b8b4e77fe802 · outbound

This paper cites CVXPY: A python-embedded modeling lan- guage for convex optimization,.

Controller Design for Bilinear Neural Feedback Loops CVXPY: A python-embedded modeling lan- guage for convex optimization,

Reference 17

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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 2026-08-18T06:34:40.430872+00:00.

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Observation da09e1ff-820b-426f-adf4-a55d13289e48 · outbound

This paper cites Mosek optimizer API for python,.

Controller Design for Bilinear Neural Feedback Loops Mosek optimizer API for python,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 47a911b8-69c4-4dcf-89d5-49dbfb1650a1 · outbound

This paper cites What is the state of neural network pruning?,.

Controller Design for Bilinear Neural Feedback Loops What is the state of neural network pruning?,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 54ae197d-434e-43fb-ad8c-4cbe66c19090 · outbound

This paper cites A structure exploiting SDP solver for robust controller synthesis,.

Controller Design for Bilinear Neural Feedback Loops A structure exploiting SDP solver for robust controller synthesis,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 513d34a2-df35-42d2-85df-d141b9330120 · outbound

This paper cites On Dual of LMIs for Absolute Stability Analysis of Nonlinear Feedback Systems with Static O'Shea-Zames-Falb Multipliers.

Controller Design for Bilinear Neural Feedback Loops On Dual of LMIs for Absolute Stability Analysis of Nonlinear Feedback Systems with Static O'Shea-Zames-Falb Multipliers

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.