Paper Citation Record · LEDGER

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2506.06564.

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

pith.paper-citation-record.v1
2506.06564 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:04.051199Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T04:20:35.040577Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:20:51.963870Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy29
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41a8d1e2-f36c-4b0d-aadf-3385472715c6 · outbound

This paper cites Deep reinforcement learning for robotics: A survey of real-world successes,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Deep reinforcement learning for robotics: A survey of real-world successes,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:11.686910Z

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.

Observation 4a009553-97d7-4dfb-b844-912c3e998894 · outbound

This paper cites Deep reinforcement learning for intelligent transportation systems: A survey,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Deep reinforcement learning for intelligent transportation systems: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:11.406409Z

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.

Observation 65c99ca3-7fb2-4154-b691-08d23cdff7df · outbound

This paper cites Review on deep learning applications in frequency analysis and control of modern power system,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Review on deep learning applications in frequency analysis and control of modern power system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:11.136966Z

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.

Observation a3d55810-cc7e-434e-ac83-ffdc09cf2345 · outbound

This paper cites Sastry, Nonlinear systems: analysis, stability, and control , vol.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Sastry, Nonlinear systems: analysis, stability, and control , vol

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:10.843549Z

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.

Observation 1e208f6d-544c-4375-b360-347d42d485f7 · outbound

This paper cites Approximate optimal controller synthesis for cart-poles and quadrotors via sums-of-squares,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Approximate optimal controller synthesis for cart-poles and quadrotors via sums-of-squares,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:10.561783Z

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.

Observation db57a201-ae7e-4002-b802-b5b93d3a815b · outbound

This paper cites Convex synthesis and verification of control-lyapunov and barrier functions with input constraints,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Convex synthesis and verification of control-lyapunov and barrier functions with input constraints,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:10.258774Z

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.

Observation 6529bcc2-1d4b-49c2-92b6-d915acaaaac8 · outbound

This paper cites Advances in computational lyapunov analysis using sum-of-squares programming.,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Advances in computational lyapunov analysis using sum-of-squares programming.,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:10.004896Z

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.

Observation aba67a3b-5a0e-421b-9fc7-5359e52665cd · outbound

This paper cites On the construction of lyapunov functions using the sum of squares decomposition,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity On the construction of lyapunov functions using the sum of squares decomposition,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:09.677988Z

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.

Observation 16064578-c3f9-4adc-a0fb-9ec8f94fa5a7 · outbound

This paper cites A globally asymptotically stable polynomial vector field with rational coefficients and no local polynomial lyapunov function,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity A globally asymptotically stable polynomial vector field with rational coefficients and no local polynomial lyapunov function,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:09.433452Z

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.

Observation 51004b0b-a4dd-4dc4-ac2e-1102e479a843 · outbound

This paper cites Neural lyapunov control of unknown nonlinear systems with stability guarantees,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Neural lyapunov control of unknown nonlinear systems with stability guarantees,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:09.123361Z

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.

Observation e3bc8421-070f-4541-bea2-66895893cdc6 · outbound

This paper cites Neural lyapunov control,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Neural lyapunov control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:08.917296Z

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.

Observation 31d4f177-3ee0-4448-b354-b722ed20d982 · outbound

This paper cites Learning Lyapunov Functions for Piecewise Affine Systems with Neural Network Controllers.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Learning Lyapunov Functions for Piecewise Affine Systems with Neural Network Controllers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:00.514762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e4dc84-672c-47c1-baf0-3477c701978f · outbound

This paper cites Lyapunov-stable neural-network control.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Lyapunov-stable neural-network control

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:00.648334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a079352-7432-426a-9e16-3f7fb2ba3820 · outbound

This paper cites Lyapunov-stable neural control for state and output feedback: A novel formulation,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Lyapunov-stable neural control for state and output feedback: A novel formulation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:08.622264Z

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.

Observation fb08b07d-1141-4bd2-b242-5929d81ed1d4 · outbound

This paper cites Neural lyapunov control for discrete-time systems,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Neural lyapunov control for discrete-time systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:08.317841Z

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.

Observation 3c3480be-eff5-4b0e-b594-197ddd4c89d1 · outbound

This paper cites Counterexample guided inductive synthesis modulo theories,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Counterexample guided inductive synthesis modulo theories,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:08.054550Z

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.

Observation b1707d3f-1784-41fc-a5f7-98b160095bd9 · outbound

This paper cites dreal: An smt solver for nonlinear theories over the reals,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity dreal: An smt solver for nonlinear theories over the reals,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:07.777326Z

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.

Observation bdd24d97-3053-4c02-83fa-33d062c8e570 · outbound

This paper cites Beta-crown: Efficient bound propagation with per-neuron split constraints for neural network robustness verification,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Beta-crown: Efficient bound propagation with per-neuron split constraints for neural network robustness verification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:07.473017Z

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.

Observation 26cb99fa-922b-4abc-977b-55ff6126ddde · outbound

This paper cites Evaluating Robustness of Neural Networks with Mixed Integer Programming.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Evaluating Robustness of Neural Networks with Mixed Integer Programming

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:01.503732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439bf41c-56ef-493b-8fdb-7642aad1427c · outbound

This paper cites Safety verification and robustness analysis of neural networks via quadratic constraints and semidefinite programming,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Safety verification and robustness analysis of neural networks via quadratic constraints and semidefinite programming,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:01.611666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b223bb63-8544-4c26-b01c-7422c8153077 · outbound

This paper cites Dissipative dynamical systems part i: General theory,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Dissipative dynamical systems part i: General theory,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:07.268065Z

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.

Observation 50474a7b-d922-47e0-a653-96c329581ce2 · outbound

This paper cites Nonlinear regulator theory and an inverse optimal control problem,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Nonlinear regulator theory and an inverse optimal control problem,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:07.039125Z

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.

Observation 9180f778-f6a3-480b-b02b-2631d75a64de · outbound

This paper cites Dissipativity and optimal control: Examining the turnpike phenomenon,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Dissipativity and optimal control: Examining the turnpike phenomenon,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:06.796221Z

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.

Observation d3612a99-288d-493e-b6d7-193911b76563 · outbound

This paper cites Nonlinear optimal control for stochastic dynamical systems,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Nonlinear optimal control for stochastic dynamical systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:06.575784Z

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.

Observation 32cc86f7-7989-46f8-8171-f9a9937aed29 · outbound

This paper cites Necessary and sufficient dissipativity- based conditions for feedback stabilization,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Necessary and sufficient dissipativity- based conditions for feedback stabilization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:06.323914Z

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.

Observation 178f2b7d-3df6-4f1e-8c93-8d04475a91b7 · outbound

This paper cites Compositional analysis of interconnected systems using delta dissipativity,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Compositional analysis of interconnected systems using delta dissipativity,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:06.088928Z

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.

Observation 11d4e2e8-9e12-4029-8721-0c61b853cfc6 · outbound

This paper cites Structured neural- pi control with end-to-end stability and output tracking guarantees,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Structured neural- pi control with end-to-end stability and output tracking guarantees,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:05.849463Z

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.

Observation f7bd2cb4-8dfc-4dc9-9284-28d07c2c5de0 · outbound

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

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.

Observation bfc3d54b-27aa-4fc0-b1ab-316d1f419069 · outbound

This paper cites Learning dissipative neural dynamical systems,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Learning dissipative neural dynamical systems,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:05.627563Z

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.

Observation adad7d49-83f0-4e20-a2ac-23f79312be46 · outbound

This paper cites Learning chaotic dynamics in dissipative systems,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Learning chaotic dynamics in dissipative systems,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:05.420662Z

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.

Observation 1742c347-0796-4a4e-a296-5d24550fa016 · outbound

This paper cites Learning Deep Dissipative Dynamics.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Learning Deep Dissipative Dynamics

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T06:04:04.282300Z

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.

Observation a5a96ac5-aeb5-4c12-9f3d-5e4ec3c13f0f · outbound

This paper cites Sepulchre, M.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Sepulchre, M

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:03.252687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01618e4c-efde-41e9-b1f7-9594a440092f · outbound

This paper cites Convex optimization,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Convex optimization,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:03.345254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593b3958-a778-4bde-95b4-28dcd6a378af · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:03.496726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d1436b-6f9e-42fc-9045-4a2c0f2d2ecd · outbound

This paper cites Direct parameterization of lipschitz-bounded deep networks,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Direct parameterization of lipschitz-bounded deep networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:05.245292Z

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.

Observation 07e0f878-f3c0-4020-9990-e322982f71b3 · outbound

This paper cites Visioli, Practical PID control.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Visioli, Practical PID control

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:05.037140Z

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.

Observation 92cc2bc6-b07d-4eb6-b68d-6229293f8be6 · outbound

This paper cites Equilibrium-independent dissipativity with quadratic supply rates,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Equilibrium-independent dissipativity with quadratic supply rates,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:04.806589Z

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.

Observation 63c25e45-641f-4ddd-9693-8a3aeca9f3c2 · outbound

This paper cites Global stabilization of polynomial systems using equilibrium-independent dissipativity,.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Global stabilization of polynomial systems using equilibrium-independent dissipativity,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:04:04.537537Z

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.

Pith citing papers

Observation 30debcf5-e98a-4731-ae9f-b63a2aef9b71 · inbound

Model-Free Power System Stability Enhancement with Dissipativity-Based Neural Control cites this paper.

Model-Free Power System Stability Enhancement with Dissipativity-Based Neural Control Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:17:13.031534Z

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.