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Paper Citation Record · LEDGER

Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.07373.

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

pith.paper-citation-record.v1
2404.07373 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:43:48.824432Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T09:43:11.044231Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Controller Design for Bilinear Neural Feedback Loops cites this paper.

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 f7bd2cb4-8dfc-4dc9-9284-28d07c2c5de0 · inbound

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity cites this paper.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:02.718356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:02.718356Z digest=sha256:f2a47de64b269d3fa8db0e55f28a096ca38cee68faaff3f8fd07c2140b035fab

Observation 85bd3c49-2cc8-4d91-8834-74253df41f58 · inbound

Polynomial Constraints for Robustness Analysis of Nonlinear Systems cites this paper.

Polynomial Constraints for Robustness Analysis of Nonlinear Systems Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T14:32:17.795672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T14:32:17.795672Z digest=sha256:5b974439f99636e334f8d882a1f26087367b5b26d644e500b97a0dc5c6589ab0

Observation 0831eb90-8c34-42a4-8526-cd09b8e5365b · inbound

Learning the dynamics of nonlinear systems with regional stability guarantees through linear matrix inequality constraints cites this paper.

Learning the dynamics of nonlinear systems with regional stability guarantees through linear matrix inequality constraints Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-06-02T02:03:29.959761Z

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.

source=arxiv_source observed=2026-05-20T09:38:53.996905Z digest=sha256:c83eee872a5ff757d5085daa916153800dd1b95544e7d8cb3fc537dd74f3d46e

Observation 778bb87d-88df-46d6-8b4a-8080e1575801 · inbound

Implicit Neural Networks as Static Controllers: Certificates and Performance Separation cites this paper.

Implicit Neural Networks as Static Controllers: Certificates and Performance Separation Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-14T06:54:29.832222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:54:29.832222Z digest=sha256:0c38c26f78b76e64b9191892955e468cdd7cf734f2db1c6622ac4bd43c83445d