Pith. sign in

Paper Citation Record · LEDGER

Controller Design for Bilinear Neural Feedback Loops

As of 7 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 2026-08-07T06:34:17.273281+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

  • verified exact1
  • verified fuzzy15
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:53.149808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.634814Z digest=sha256:22b540cca4ea3867ce7816fb180dc5782cfaf0ac98ac9736e2051bc4d4e6f25b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:52.943915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.684796Z digest=sha256:5789d49eeeb0032ae6d38a0c8cc420cd50a728e9ed9e4c42989957355e34b9c2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:52.725742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.730955Z digest=sha256:bf896b4974932bd31d6e5278904affb3adb5b7b37476525118622acf079b2daa

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:52.502987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.758738Z digest=sha256:87500b7b506aa5e1e34f109200380cffefef09e805208361e9020e8c1d0a16dd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:52.300977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.785884Z digest=sha256:57823cf4d7586ae9111aaee9e4d2c7644e907aac752aefc39c3aac208f99cda1

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:43:49.630925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.806400Z digest=sha256:539416330b0c12f56512031394562e6fd076260e509d5340422061cde063f456

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:48.824432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:48.824432Z digest=sha256:31532b0e66251291ff7510d55c631ac7f46c2e3a554f892a8aedd29a798eb1dd

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
raw_fallback, observed 2026-08-07T12:43:52.018942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.846512Z digest=sha256:bd1f47297df41d530e77f1fc88ec08a3a6999a8c981a33e5b75cdcfc1f136ff1

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:48.880363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:48.880363Z digest=sha256:9943247783aee80b6b37af47368bacddff6568d1244c802acb7ae9e7f72eb607

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:51.758425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.906404Z digest=sha256:f215080edf1c9c6b307f84b38298e7c0cf6aced7c4935dd70b6057b557b3b6bc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:51.536619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.932323Z digest=sha256:68f1285d4d1e633c88cdb190d3b7a80f9d71d8b4dd4329ceaa0db37ebed16a62

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:48.947715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:48.947715Z digest=sha256:4135dd949dc6edba72a398405fc8674718a54f83ffaaeecfa76df2501c439862

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:51.261970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:48.982886Z digest=sha256:da301a3f493d24ee0c9ad0e6606c82bf47a993d6440ceed75186ab7017db7830

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:49.006356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:49.006356Z digest=sha256:9b11281a4de82c12f6dfaff28786a37ed1ff308103492ee750b01c97f1607e47

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
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:51.024968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:49.039733Z digest=sha256:9cec0bf28c2ca526be1e845baeb725968da7256939b2f2039bf4e3ac2472ff84

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:50.786935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:49.068273Z digest=sha256:b89486cec15886a0c34386c0ffd87ebf70696a165d85c25d469dec6a968f083f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:50.547540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:49.103110Z digest=sha256:8f4953f5801ba898da7cb5630ee9eda15f64f792f80a815ba8ac8b8537806d53

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:50.251305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:49.113829Z digest=sha256:04135198d07f0df4d2f8d3be6db1fdad2f21a95b9acefe92a9fcd43a025fafe1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:50.029865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:49.196374Z digest=sha256:f9ef4fc6303d55ebe13bb3068e720d9730b3f1b21124893f7b3488f05bc6f6b8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:43:49.831929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:43:49.304877Z digest=sha256:eedf672efcdd678b37119d9f15316bb1028fda6574a7d3eeef35ac0f4a589623

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

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:49.376792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:49.376792Z digest=sha256:ba5af98e2fa90fdb6c8cfbc6df24f2bbcd453dd355a1461ba3a987096301e6ba

Pith citing papers

No inbound Pith citation observations are available.