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Paper Citation Record · LEDGER

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial

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.

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pith.paper-citation-record.v1
2605.26577 v1

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measured 100 of 102 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

100 of 102 outbound references displayed

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Outbound references

Observation fea80758-c476-4a2d-b730-fb5ee3d81dd2 · outbound

This paper cites Champion-level drone racing using deep rein- forcement learning,.

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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This paper cites Applications of machine learning in real-time control systems: a review,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Applications of machine learning in real-time control systems: a review,

Reference 2

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This paper cites (deep) reinforcement learning for electric power system control and related problems: A short review and perspectives,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial (deep) reinforcement learning for electric power system control and related problems: A short review and perspectives,

Reference 3

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This paper cites Reinforcement learning for control: Performance, stability, and deep approximators,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Reinforcement learning for control: Performance, stability, and deep approximators,

Reference 4

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Observation 5b80c9bb-c9dd-457e-8fc6-405068eacf3a · outbound

This paper cites Verification approaches for learning-enabled autonomous cyber–physical systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Verification approaches for learning-enabled autonomous cyber–physical systems,

Reference 5

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This paper cites Safe control with learned certifi- cates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Safe control with learned certifi- cates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control,

Reference 6

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This paper cites Neural lyapunov control,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Neural lyapunov control,

Reference 7

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Observation 3687d2e0-2011-4dd3-b6ef-309067a8830a · outbound

This paper cites Formal synthesis of stochas- tic systems via control barrier certificates,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Formal synthesis of stochas- tic systems via control barrier certificates,

Reference 8

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This paper cites Formally verified physics-informed neural control lyapunov functions,.

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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Observation 89f0d461-077e-4638-bb5d-437a9903ae33 · outbound

This paper cites Physics-informed neural network lyapunov functions: Pde characterization, learning, and verification,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Physics-informed neural network lyapunov functions: Pde characterization, learning, and verification,

Reference 10

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Observation 05f644cf-0194-40a9-8c0f-37f527d26604 · outbound

This paper cites Learning regions of attraction in unknown dynamical systems via zubov-koopman lifting: Regularities and convergence,.

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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Observation c7299d7e-e72f-4fae-a5d6-f6a067b49f05 · outbound

This paper cites Tool lyznet: A lightweight python tool for learning and verifying neural lyapunov functions and regions of attraction,.

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

This paper cites Actor-critic physics-informed neural lya- punov control,.

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,

Reference 14

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This paper cites Towards learning and verifying maximal neural lyapunov functions,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Towards learning and verifying maximal neural lyapunov functions,

Reference 15

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Observation f919847f-93a7-48fc-a2af-d72be38e2041 · outbound

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

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial dreal: An smt solver for nonlinear theories over the reals,

Reference 16

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Observation c662ce75-a5c9-41cc-b713-627428984e5d · outbound

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Z3: An efficient smt solver,

Reference 17

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Observation 31d9982f-a35b-4259-8dc2-111b78f907ee · outbound

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

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Evaluating Robustness of Neural Networks with Mixed Integer Programming

Reference 18

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Observation 5f46d9e6-cb6c-4b02-9807-bc3b3e5be893 · outbound

This paper cites Reluplex: An efficient smt solver for verifying deep neural net- works,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Reluplex: An efficient smt solver for verifying deep neural net- works,

Reference 19

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Observation a1882a96-f42c-4ed0-903f-fe92087113db · outbound

This paper cites The marabou framework for verification and analysis of deep neural networks,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial The marabou framework for verification and analysis of deep neural networks,

Reference 20

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This paper cites Stability and feasibility of neural network- based controllers via output range analysis,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Stability and feasibility of neural network- based controllers via output range analysis,

Reference 21

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Lyapunov-stable neural-network control

Reference 22

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Neural lyapunov control for discrete-time systems,

Reference 23

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial A tutorial on sum of squares techniques for systems analysis,

Reference 24

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Observation e67b9c99-eba8-430f-b4ba-f8a1cfcbf072 · outbound

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Stability analysis using quadratic constraints for systems with neural network controllers,

Reference 25

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This paper cites Verification and synthesis of compatible control lyapunov and control barrier functions,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Verification and synthesis of compatible control lyapunov and control barrier functions,

Reference 26

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Stability of non-linear neural feedback loops using sum of squares,

Reference 27

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Improved Sum-of-Squares Stability Verification of Neural-Network-Based Controllers

Reference 28

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Imitation learning with stability and safety guarantees,

Reference 29

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial A semialgebraic framework for verification and synthe- sis of control barrier functions,

Reference 30

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Control contraction metric synthesis for discrete-time nonlinear systems,

Reference 31

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Lqr- trees: Feedback motion planning via sums-of-squares verification,

Reference 32

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Safety index synthesis via sum-of-squares programming,

Reference 33

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Verification of neural control barrier functions with symbolic derivative bounds propagation,

Reference 34

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Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Exact verification of relu neural control barrier functions,

Reference 35

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This paper cites Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation

Reference 36

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Observation 1d67c35e-45c7-4171-9212-b9e293905631 · outbound

This paper cites Real-time safe control of neural network dynamic models with sound approximation,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Real-time safe control of neural network dynamic models with sound approximation,

Reference 37

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:5d89ee3ebf13a9a86f5cafd40a78a670cebde7fcfa09964dd81cbd07173e97f7

Observation b62c8246-e4f1-4cd0-95f3-0775ec09ff59 · outbound

This paper cites Verifiable safety q-filters via hamilton-jacobi reachability and multiplicative q-networks,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Verifiable safety q-filters via hamilton-jacobi reachability and multiplicative q-networks,

Reference 38

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:6a8af6dc86aaae64a6eb3e02091b8b98864d554e711fe88a54c073228e83f22e

Observation ac29b39a-c60d-4e35-9dee-92dc3be8720f · outbound

This paper cites Provable defenses against adversarial examples via the convex outer adversarial polytope,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Provable defenses against adversarial examples via the convex outer adversarial polytope,

Reference 39

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:2dfcf42ffcb050835c0e3ea2090fdb79baa5eb6a82a4a683207f806375401223

Observation f6724ee7-185f-41ee-8d25-374b9efd57c6 · outbound

This paper cites Certified Defenses against Adversarial Examples.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Certified Defenses against Adversarial Examples

Reference 40

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arxiv_id, observed 2026-06-29T16:23:39.424150Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:20db595e5ba16080c5a4357793dc20c83b12e5870676a0e4b8e088615a811826

Observation 1f7c5128-fe47-454c-8e0b-e4dcc2e11443 · outbound

This paper cites A unified view of sdp-based neural network verification through completely positive programming,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial A unified view of sdp-based neural network verification through completely positive programming,

Reference 41

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:9eee030320675a1703454be8cbf53269f04d4ad62e24647230a6779c7bb5b3a7

Observation 9d9041a8-cc5c-431f-8641-78083298472f · outbound

This paper cites Ai2: Safety and robustness certification of neural networks with abstract interpretation,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Ai2: Safety and robustness certification of neural networks with abstract interpretation,

Reference 42

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:bbe33b83c255fb4f05ccf1ee0e3666359456d5181c5fa902c9ea27a0a35e3910

Observation 9660a383-adb2-4cfd-bcaa-c7ec035e9a26 · outbound

This paper cites Fast and effective robustness certification,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Fast and effective robustness certification,

Reference 43

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:dee8fd5b3a71076022ddc17852badd864732442d2770fa0134d34641d93eb404

Observation e8e07e6c-b756-4d6f-88d5-4d4f806e3d25 · outbound

This paper cites Efficient Neural Network Robustness Certification with General Activation Functions.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Efficient Neural Network Robustness Certification with General Activation Functions

Reference 44

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local_arxiv, observed 2026-06-29T16:23:39.409148Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:323634f0f046ab2644e2496329bf07f4527eaf48760ce6430cacc664ae35dc81

Observation 983ad89c-98c7-45cd-b0c8-84d0b582d80c · outbound

This paper cites Efficient interaction- aware interval analysis of neural network feedback loops,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Efficient interaction- aware interval analysis of neural network feedback loops,

Reference 45

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:885973fc3109e1aea01fb919b6e3861c3b22d2416225a8ebb74eeed7817dbdf3

Observation 3148c4d3-3873-4c21-8d38-be9fb7f076f0 · outbound

This paper cites Interval reachability of nonlinear dynamical systems with neural network controllers,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Interval reachability of nonlinear dynamical systems with neural network controllers,

Reference 46

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:061579c53ac6a5dbc235dc75e59e2ce4746751d7b96e22d9de360213d06c6be7

Observation 16e2763d-b3cd-4e03-81ce-06ce0da1ce5f · outbound

This paper cites On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

Reference 47

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arxiv_id, observed 2026-06-29T16:23:39.411639Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:100ee9728a1ba080b0cbca350533ae24789f3e58c12c5ff543f4315edcfe3784

Observation 6f612f12-5c38-4ef9-8378-7afb7d7a1330 · outbound

This paper cites A convex relaxation barrier to tight robustness verification of neural networks,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial A convex relaxation barrier to tight robustness verification of neural networks,

Reference 48

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:2468ec6a8373ba3c9e1d5ee027ffefd20c42d5da9735ad1a660284c6dbf451d1

Observation 2a54124c-635b-4f06-a351-fc734f1b83f0 · outbound

This paper cites Automatic perturbation analysis for scalable certified robustness and beyond,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Automatic perturbation analysis for scalable certified robustness and beyond,

Reference 49

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:c7523c479648abdf69ed64ae02b19d9eff084fcb98d3da60ccf41876ea9f790a

Observation 57f6a967-ffe0-4231-8de7-c5676db73ab4 · outbound

This paper cites Fast and Complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Fast and Complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers,

Reference 50

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:4f053ea1979b844197a2a39125ec6150f3ae491bb287496557ce967aa7637f92

Observation ada36107-6a7e-4fd5-87f3-2a813f3b2173 · outbound

This paper cites Beta-CROWN: Efficient bound propagation with per- neuron split constraints for complete and incomplete neural network verification,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Beta-CROWN: Efficient bound propagation with per- neuron split constraints for complete and incomplete neural network verification,

Reference 51

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:098fdf9fb602e9f6326fbe096c1c266ec43c975acc6be2affb6fb44bb79c7ffb

Observation 0e71f52d-0f40-4c31-b500-dbf70a87dfe7 · outbound

This paper cites General cutting planes for bound-propagation-based neural network verification,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial General cutting planes for bound-propagation-based neural network verification,

Reference 52

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:5d01c0ba8599f87fd1256f6dae8ae9c55dcfe75794aa198f113de97ce169b81c

Observation 5bf48291-d3be-4628-b0a3-6afd696944ba · outbound

This paper cites Prov- ably bounding neural network preimages,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Prov- ably bounding neural network preimages,

Reference 53

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:77de79108733e411c87f771cab8415e31d1631b4a56a5b5fe97244af4ec82b47

Observation 3d44e226-4720-4769-8134-1f27dd1add15 · outbound

This paper cites Scalable neural network verification with branch-and-bound inferred cutting planes,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Scalable neural network verification with branch-and-bound inferred cutting planes,

Reference 54

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:eaabb28ef36fd839c97395a4b18f901d7f68c484580218449eb046a90939165a

Observation b41bdd11-dfb1-4fde-8402-e70d91ec0b2c · outbound

This paper cites Neural network verification with branch-and-bound for general nonlinearities,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Neural network verification with branch-and-bound for general nonlinearities,

Reference 55

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:22eac2c5df3b81ae7617a73967feb804bd5209f7231c3e3c081e79b27781db80

Observation af25be14-77cd-420c-8568-376e2f883cc9 · outbound

This paper cites Clip-and-verify: Linear constraint-driven domain clip- ping for accelerating neural network verification,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Clip-and-verify: Linear constraint-driven domain clip- ping for accelerating neural network verification,

Reference 56

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arxiv_id, observed 2026-06-29T16:23:39.414272Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:4fb786a8546725a6abe29c77b1601eea34543a5b517357aa53dfc1f7bd22b482

Observation f8db912f-50d6-4d36-9391-96a26b17e53f · outbound

This paper cites Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation.

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

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:4909e48cdcb3cf59e4b3b7237bbbf25a70f8d6c8b3aa332febdea1088386d3aa

Observation 86836f69-edb1-4d82-a712-cc39a6f5784d · outbound

This paper cites Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control

Reference 58

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:7def8ba95cad0a00a3dce3ccc5b519aa2f9037838403ee795a1f96c8d6e1109a

Observation 602441d1-0930-4876-be9c-a4b993d92a98 · outbound

This paper cites Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems

Reference 59

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:cca281dcee24d7aa6d11e08ef57047c6be11ea01723a7e46ef5f2f01d8064639

Observation 5e822be0-15bc-46ff-8a82-08ba671020ec · outbound

This paper cites Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation

Reference 60

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:1812b9d882a86151467f6228282d2b540f0e45f2633ae8332d0123e6a2df9023

Observation 2d632cae-fc8f-43c2-9a30-affd1ff586a2 · outbound

This paper cites Two-stage learning of stabilizing neural controllers via Zubov sampling and iterative domain expansion.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Two-stage learning of stabilizing neural controllers via Zubov sampling and iterative domain expansion

Reference 61

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:0b8fc7edddf5687cf159fc8392b7950371e8706e0634bd9d243c7aa047dde9ae

Observation 0770e857-1887-4864-99ed-1d7d6b72fe19 · outbound

This paper cites Flow*: An ana- lyzer for non-linear hybrid systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Flow*: An ana- lyzer for non-linear hybrid systems,

Reference 62

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:ff96d2e6a06961c517b23e6745e3e568d9caeb15b250e5798033298f97e5f561

Observation a89b938f-0ddc-4194-bdae-1174831c24ec · outbound

This paper cites Set propagation techniques for reachability analysis,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Set propagation techniques for reachability analysis,

Reference 63

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:a0c18bde2cb3da67883f185925e85b31b7da5d3d404492e857005e8c254455ee

Observation bcf6ac2c-071a-42c1-9c39-8899a1625e7f · outbound

This paper cites Nnv: the neural network verification tool for deep neural networks and learning-enabled cyber- physical systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Nnv: the neural network verification tool for deep neural networks and learning-enabled cyber- physical systems,

Reference 64

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:471308b62b5bdfaf9fa0f9806368687de70eff41e32887ddedade9616608fcdf

Observation 7f3a04fc-639d-446b-a7ba-68a2bd5237f6 · outbound

This paper cites Reachability analysis of neural network control systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Reachability analysis of neural network control systems,

Reference 65

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:6f2738f2113342f7a8c92b2fffa1604b2d9348a29396b3645ad4ee5920f12a10

Observation fc310e2a-b327-4159-8b13-3f32ab071c03 · outbound

This paper cites Reachability analysis of neural network control systems with tunable accuracy and efficiency,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Reachability analysis of neural network control systems with tunable accuracy and efficiency,

Reference 66

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:14118ca89066e1246e1b6598cd63b75661710688e3913c3c6b5068324be64f94

Observation 0c834f11-a774-49b4-b4b4-c4819d174ed7 · outbound

This paper cites Safe reach set computation via neural barrier certificates,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Safe reach set computation via neural barrier certificates,

Reference 67

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:c31edb664c6ddde5c21bcd228f7189d486c470ae26a94773d93ab37847edf485

Observation 78c3ce85-df30-49be-945f-d15516e650e1 · outbound

This paper cites Parallel differentiable reachability for learning and planning with certified neural dynamics and controllers,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Parallel differentiable reachability for learning and planning with certified neural dynamics and controllers,

Reference 68

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:ba8940435576d0383c5a4bffa420c347fa0b1a418eca18db7f01aa2f158c02f5

Observation 69748fb3-ea36-40c9-b304-82ce0b1024bc · outbound

This paper cites Efficient finite abstraction of mixed mono- tone systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Efficient finite abstraction of mixed mono- tone systems,

Reference 69

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:89c1d63736080297e1063c8e0df97bc7d76cc6e5e2fd8a0206d5a4463f4253be

Observation 8fbab48a-b40d-4500-95cf-b2550af99a47 · outbound

This paper cites Finite abstraction of mixed monotone systems with discrete and continuous inputs,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Finite abstraction of mixed monotone systems with discrete and continuous inputs,

Reference 70

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:4f69275b5d7029b3a8f3b3ce40b6b7d0b43eb1acf2f7947c9c1d87f1f8ab96fe

Observation 3a545615-107f-413d-af5d-e747d2ca8dd3 · outbound

This paper cites Mixed monotonicity for reachability and safety in dynamical systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Mixed monotonicity for reachability and safety in dynamical systems,

Reference 71

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:6b44d39a74d4b9e2613fee955f5ce065a8ae7f4aa7c14ad25313cdb0154ae6f0

Observation 5190793c-a0f7-4800-b914-c09765959f34 · outbound

This paper cites Specification-guided verification and abstraction refinement of mixed monotone stochastic systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Specification-guided verification and abstraction refinement of mixed monotone stochastic systems,

Reference 72

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:9529759aebdfbae9889741c387ab7aecfd84aace95e74174724040d740505fe0

Observation a7163efb-5d42-42d4-8a25-67c023a5f8e8 · outbound

This paper cites Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,

Reference 73

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Observation c4b9480a-3824-4a25-9da4-331d1953cb92 · outbound

This paper cites Zubov-koopman learning of maximal lyapunov functions,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Zubov-koopman learning of maximal lyapunov functions,

Reference 74

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Observation 1206b016-3af8-46d5-bbc7-678771c0fea6 · outbound

This paper cites Towards learning and verifying maximal lyapunov-barrier functions with a zubov pde formulation,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Towards learning and verifying maximal lyapunov-barrier functions with a zubov pde formulation,

Reference 75

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arxiv_id, observed 2026-06-29T16:23:39.406719Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a39c6205-0ba3-4784-b619-d4ee61d86bff · outbound

This paper cites Formal verification of control lyapunov-barrier func- tions for safe stabilization with bounded controls.arXiv preprint arXiv:2511.10510, 2025.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Formal verification of control lyapunov-barrier func- tions for safe stabilization with bounded controls.arXiv preprint arXiv:2511.10510, 2025

Reference 76

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a48e482b-74b9-45b0-bbea-a282a4c1f58a · outbound

This paper cites Control barrier function based quadratic programs for safety critical systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Control barrier function based quadratic programs for safety critical systems,

Reference 77

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:0e0ae1f3503677e83668a2d8b62105837ddff912b6d15107dc9e12f250feb8d3

Observation e531f0eb-bc7f-49c0-b48e-1445e5e3f1ba · outbound

This paper cites Learning control barrier functions from expert demonstrations,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Learning control barrier functions from expert demonstrations,

Reference 78

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:c6509f791b2fd675ec195c609296dec033428a3b7a50e88cfeaefccb8aed1efd

Observation ec0080ed-51c8-4f1c-9cc1-8a1519071c41 · outbound

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

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Convex synthesis and verification of control-lyapunov and barrier functions with input constraints,

Reference 79

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:a0ee5df9967be3798d082d1bba03f61fc5053dccf969d31846ba73f64f459ab6

Observation 90dcda16-7a1b-4e54-ba51-d17a6a4d6f3c · outbound

This paper cites Safe nonlinear control using robust neural lyapunov-barrier functions,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Safe nonlinear control using robust neural lyapunov-barrier functions,

Reference 80

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:7247a1e7b2750c3b7fbf0bfb7e153857f0f31d636feebda225242923e4593ae1

Observation 616ecc73-9714-4152-bbe1-3030ad38df38 · outbound

This paper cites Neural contraction metrics for robust estimation and control: A convex optimization approach,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Neural contraction metrics for robust estimation and control: A convex optimization approach,

Reference 81

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:534979d10d675df133ec29ebe3cfc07e62610865ee40b70e562d0f4a7f2ea9b2

Observation 326b1837-2369-4c2c-8f46-7ba0935c9b7c · outbound

This paper cites Neural stochastic contraction metrics for learning-based control and estimation,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Neural stochastic contraction metrics for learning-based control and estimation,

Reference 82

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:f830656910315cc04e23c54ee394bf500ae2c2607d9e69449f008f40b19c145b

Observation 683041cc-4842-4815-8ece-b6c6d8d8849d · outbound

This paper cites A theoretical overview of neural contraction metrics for learning-based control with guaranteed stability,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial A theoretical overview of neural contraction metrics for learning-based control with guaranteed stability,

Reference 83

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:dd2e88403ca1df4427a2716830bbe4ea4a013c01b9830bafaf7d8d36941dd1d0

Observation c9128055-74c0-4a20-8851-34eeb19ac719 · outbound

This paper cites Learning certified control using contraction metric,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Learning certified control using contraction metric,

Reference 84

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:883ed195fe5bd2d329a6c0c0f5ac184606c581e0fce465e1ab47904cc9a35636

Observation c58ba40b-0e6c-476f-be1f-d6a30d826458 · outbound

This paper cites BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics

Reference 85

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arxiv_id, observed 2026-06-29T16:23:39.426892Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:6683fe37c1de43188a0676372eb0d9e3d109dddd5bf4dd995c48ede539eb009d

Observation ccea7d8d-ae4a-4259-9b11-c945a6c15de5 · outbound

This paper cites Counterexample guided inductive synthesis modulo theories,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Counterexample guided inductive synthesis modulo theories,

Reference 86

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:31f65b650b7c6288ea9732cba8819ed7b2bb4bb9ea1eea100fc989e37bf74ea1

Observation a69b3a6d-cb18-4825-ad29-ea66732aa102 · outbound

This paper cites Counterexample Guided Synthesis of Switched Controllers for Reach-While-Stay Properties.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Counterexample Guided Synthesis of Switched Controllers for Reach-While-Stay Properties

Reference 87

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local_arxiv, observed 2026-06-29T16:23:39.391587Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:c5c6def0235bec8c8af95f5006aa5eb6cebc779400dcd16c6b67bf66571eac36

Observation 6178cc59-d554-4fed-b4b8-9af4b84fafa7 · outbound

This paper cites Formal synthesis of lyapunov neural networks,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Formal synthesis of lyapunov neural networks,

Reference 88

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:38db4c93d80b712f28d6dd83026860c8df1176a11d783a3de330ca368cc2ec21

Observation 2ea9126a-6e89-4cd6-922f-f77443ed2b7c · outbound

This paper cites Counter- example guided inductive synthesis of control lyapunov functions for uncertain systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Counter- example guided inductive synthesis of control lyapunov functions for uncertain systems,

Reference 89

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:454c7e1b2cc86e6007f7bee45df1c4b512795cad2775c8825bad893d2f13c4a8

Observation 4985ce17-045b-4616-a375-ae3289e43a7f · outbound

This paper cites Counter-example guided synthesis of neural network lyapunov functions for piecewise linear systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Counter-example guided synthesis of neural network lyapunov functions for piecewise linear systems,

Reference 90

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:066b112a966f0a7254d3f1e6773c2aee8e36d3d97540a8f85cbc2ade78fdfd25

Observation d692eb42-00f5-45b5-9206-3ab0b7f82f3a · outbound

This paper cites Robust controller syn- thesis of switched systems using counterexample guided framework,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Robust controller syn- thesis of switched systems using counterexample guided framework,

Reference 91

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:54ed283ae9761957789d6cb762ec63a873f2cc2bea3fff0ec044638430481140

Observation 809c79f1-8755-49d4-b052-6fe63380b034 · outbound

This paper cites Differentiable abstract in- terpretation for provably robust neural networks,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Differentiable abstract in- terpretation for provably robust neural networks,

Reference 92

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:3393a1118e1feb67f70e491ecfe53646c7ab6eb9d554d91ab955d9afa899d8b6

Observation 349adcef-d379-4b69-83dd-c894dc358014 · outbound

This paper cites an unresolved cited work.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Unresolved cited work

Reference 93

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:f3f9c38273fc7cbe40862ef258346e0083f99fc3d4660deec83b21a107772fa0

Observation 67d5b97e-afe4-4eb2-95af-96ac4b4569cc · outbound

This paper cites The general problem of the stability of motion,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial The general problem of the stability of motion,

Reference 94

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:202a4311866f6ce60bbacabf24f0e6c448ac11521a936bbf8c70f825eb4c404e

Observation b1b8d260-b532-46e7-b6cb-97f396b3d332 · outbound

This paper cites A unified view of piecewise linear neural network verification,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial A unified view of piecewise linear neural network verification,

Reference 95

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:5b8de76834789124aa49e7a0e79e634fb390e2a6d6e87897127d4d9caff4b593

Observation 8c9469f1-7305-4769-ba6d-d919deeb3e28 · outbound

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

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Towards Deep Learning Models Resistant to Adversarial Attacks

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local_arxiv, observed 2026-06-29T16:23:39.383335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dbfc6ae3-d34d-4ecf-8bc4-a6cd0443029c · outbound

This paper cites Lyapunov Theory for Discrete Time Systems.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Lyapunov Theory for Discrete Time Systems

Reference 97

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local_arxiv, observed 2026-06-29T16:23:39.368094Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:86acae469bc17b7dd52884d0d47e7fef7da6e6c8232c4d0b1fedfe3e04096a4f

Observation ad91a72f-c084-45a7-b20c-788c7298bc34 · outbound

This paper cites Convergence prop- erties for discrete-time nonlinear systems,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Convergence prop- erties for discrete-time nonlinear systems,

Reference 98

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source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:e3ca3ab934cc4cb53c28a429b5d43e642388d54f97bcb81eb71465c2d05f0788

Observation 252d9504-ece1-4166-a74d-eb42da363833 · outbound

This paper cites Towards Stable and Efficient Training of Verifiably Robust Neural Networks.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Towards Stable and Efficient Training of Verifiably Robust Neural Networks

Reference 99

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arxiv_id, observed 2026-06-29T16:23:39.365407Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:19:18.692686Z digest=sha256:606872f980d1a32db91114d7e83c7e4aa2c6ee7f54d371d3e368019adcdb54fe

Observation 947a7e18-fc75-428d-9dd1-89d8128efc5f · outbound

This paper cites Fast certified robust training with short warmup,.

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial Fast certified robust training with short warmup,

Reference 100

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Pith citing papers

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