Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T16:19:18.692686Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 0 inbound Pith citation observations for arXiv:2605.26577.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T16:19:18.692686Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 102 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fea80758-c476-4a2d-b730-fb5ee3d81dd2 · outbound
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Champion-level drone racing using deep rein- forcement learning,
Reference 1
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Applications of machine learning in real-time control systems: a review,
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Observation bfba68b2-4805-4bb9-985e-3bd40f87ae4d · outbound
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Reference 6
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Formal synthesis of stochas- tic systems via control barrier certificates,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Formally verified physics-informed neural control lyapunov functions,
Reference 9
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Physics-informed neural network lyapunov functions: Pde characterization, learning, and verification,
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Observation 05f644cf-0194-40a9-8c0f-37f527d26604 · outbound
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Learning regions of attraction in unknown dynamical systems via zubov-koopman lifting: Regularities and convergence,
Reference 11
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Tool lyznet: A lightweight python tool for learning and verifying neural lyapunov functions and regions of attraction,
Reference 12
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Observation 5fc2e47f-cf17-49ab-9090-4cbdbeb749ff · outbound
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Actor-critic physics-informed neural lya- punov control,
Reference 13
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Fossil 2.0: Formal certificate synthesis for the verification and control of dynamical models,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Towards learning and verifying maximal neural lyapunov functions,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial dreal: An smt solver for nonlinear theories over the reals,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Z3: An efficient smt solver,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Reluplex: An efficient smt solver for verifying deep neural net- works,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial The marabou framework for verification and analysis of deep neural networks,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Control contraction metric synthesis for discrete-time nonlinear systems,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Exact verification of relu neural control barrier functions,
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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Fast and effective robustness certification,
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