Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.07956.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:29.115738Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:13:59.830942Z
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 097ad1c0-47d9-465c-be82-f731e2d1ddde · inbound
Robust Optimal Safe and Stability Guaranteeing Reinforcement Learning Control for Quadcopter cites this paper.
Robust Optimal Safe and Stability Guaranteeing Reinforcement Learning Control for Quadcopter Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:29.115738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fec8ce34-dd53-400d-b7e3-f5d261adbcca · inbound
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis cites this paper.
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:39:14.759719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d01dfcc-bf22-4a2a-8134-1c6740ab9ebd · inbound
Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks cites this paper.
Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:25:21.774385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2bfa3880-e7a5-4640-ba87-1d1d7fab0a14 · inbound
Learned Lyapunov Shielding for Adaptive Control cites this paper.
Learned Lyapunov Shielding for Adaptive Control Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:50:57.014707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 11489431-39f6-46ca-b933-d1c27de5bde4 · inbound
Efficient Verification of Neural Control Barrier Functions with Smooth Nonlinear Activations cites this paper.
Efficient Verification of Neural Control Barrier Functions with Smooth Nonlinear Activations Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:05:53.066237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 85072e0c-210b-4625-ab37-532ab3aaf3a9 · inbound
Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers cites this paper.
Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T22:13:59.833179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f8db912f-50d6-4d36-9391-96a26b17e53f · inbound
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial cites this paper.
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T16:23:39.388994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.