Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees | Paper Citation Record

Observation 2e04bee5-d4c7-4f72-8ab8-f81a649b9020 · outbound

This paper cites Optimization and abstraction: a synergistic approach for analyzing neural network robustness.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Optimization and abstraction: a synergistic approach for analyzing neural network robustness

Reference 1

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This paper cites Strong convex relaxations and mixed-integer programming formulations for trained neural networks (2018), 1811.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Strong convex relaxations and mixed-integer programming formulations for trained neural networks (2018), 1811

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.362579Z

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This paper cites Square attack: a query-efficient black-box adversarial attack via random search.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Square attack: a query-efficient black-box adversarial attack via random search

Reference 3

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This paper cites Branch and Bound for Piecewise Linear Neural Network Verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Branch and Bound for Piecewise Linear Neural Network Verification

Reference 4

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This paper cites Branch and bound for piecewise linear neural network verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Branch and bound for piecewise linear neural network verification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.354165Z

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This paper cites Towards evaluating the robustness of neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Towards evaluating the robustness of neural networks

Reference 6

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This paper cites Maximum resilience of artificial neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Maximum resilience of artificial neural networks

Reference 7

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.519716Z

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Observation 923e071e-b430-4c69-8bc4-32f52e8dc73d · outbound

This paper cites A survey of algorithms for black-box safety validation of cyber-physical systems.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees A survey of algorithms for black-box safety validation of cyber-physical systems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.345811Z

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Observation fce475f3-dc33-42a5-9949-547eb9b50a16 · outbound

This paper cites Fast Falsification of Neural Networks using Property Directed Testing.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Fast Falsification of Neural Networks using Property Directed Testing

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:54:44.509996Z

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Observation 3869d7b5-641e-4e92-8dfb-9032fb88ec37 · outbound

This paper cites Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.337626Z

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Observation 024baced-ad56-48f9-aaf9-e4d28adf75fe · outbound

This paper cites Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition

Reference 11

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Observation bfe69a1a-28ef-4971-b661-9c21ca7a8ab6 · outbound

This paper cites A DPLL(T) Framework for Verifying Deep Neural Networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees A DPLL(T) Framework for Verifying Deep Neural Networks

Reference 12

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This paper cites Harnessing neuron stability to improve dnn verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Harnessing neuron stability to improve dnn verification

Reference 13

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.488119Z

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Observation 588dd4b4-3bc2-476e-ab54-97b31ec97f5d · outbound

This paper cites Efficient neural network verification with exactness characterization.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Efficient neural network verification with exactness characterization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.329279Z

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Observation c61e2f35-6bef-40de-b0c9-654b333111b8 · outbound

This paper cites Formal verification of piece-wise linear feed-forward neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Formal verification of piece-wise linear feed-forward neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.321149Z

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Observation 810fbc08-1480-4dc8-b80c-9601cd1f3cea · outbound

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

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Safety verification and robustness analysis of neural networks via quadratic constraints and semidefinite programming

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.312965Z

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Observation 4484d752-00be-4c52-b057-eaaccc33bb96 · outbound

This paper cites Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound

Reference 17

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Observation 3a0593cf-dff9-4dca-9c66-84e677ad514f · outbound

This paper cites Shared certificates for neural network verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Shared certificates for neural network verification

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.304609Z

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Observation 60f20f14-0597-40ea-8ae6-ab9ded12680b · outbound

This paper cites Adaptive branch-and-bound tree exploration for neural network verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Adaptive branch-and-bound tree exploration for neural network verification

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.296558Z

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Observation ded05a70-b57b-48ed-b2ac-f715b0b3bdbc · outbound

This paper cites Fuzz testing based data augmentation to improve robustness of deep neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Fuzz testing based data augmentation to improve robustness of deep neural networks

Reference 20

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This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.288272Z

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This paper cites Eager falsification for accelerating robustness verification of deep neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Eager falsification for accelerating robustness verification of deep neural networks

Reference 22

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This paper cites Gurobi Optimizer Reference Manual , 2023.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Gurobi Optimizer Reference Manual , 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.279475Z

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This paper cites Iterative counter-example guided robustness verification for neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Iterative counter-example guided robustness verification for neural networks

Reference 24

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.471949Z

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This paper cites Deepsplit: An efficient splitting method for neural network verification via indirect effect analysis.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Deepsplit: An efficient splitting method for neural network verification via indirect effect analysis

Reference 25

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This paper cites Safety verification of deep neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Safety verification of deep neural networks

Reference 26

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This paper cites Reluplex: An efficient SMT solver for verifying deep neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Reluplex: An efficient SMT solver for verifying deep neural networks

Reference 27

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This paper cites Optimization by simulated annealing.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Optimization by simulated annealing

Reference 28

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This paper cites Algorithms for verifying deep neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Algorithms for verifying deep neural networks

Reference 29

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This paper cites Neural Network Branching for Neural Network Verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Neural Network Branching for Neural Network Verification

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:54:44.906907Z

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Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Relu hull approximation

Reference 31

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This paper cites Towards deep learning models resistant to adversarial attacks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Towards deep learning models resistant to adversarial attacks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.271191Z

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This paper cites Scaling Polyhedral Neural Network Verification on GPUs.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Scaling Polyhedral Neural Network Verification on GPUs

Reference 33

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This paper cites The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 34

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This paper cites PRIMA: General and Precise Neural Network Certification via Scalable Convex Hull Approximations.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees PRIMA: General and Precise Neural Network Certification via Scalable Convex Hull Approximations

Reference 35

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This paper cites u ller, Gleb Makarchuk, Gagandeep Singh, Markus P \.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees u ller, Gleb Makarchuk, Gagandeep Singh, Markus P \

Reference 36

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This paper cites Tensorfuzz: Debugging neural networks with coverage-guided fuzzing.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Tensorfuzz: Debugging neural networks with coverage-guided fuzzing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.262773Z

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This paper cites An abstraction-refinement approach to verifying convolutional neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees An abstraction-refinement approach to verifying convolutional neural networks

Reference 38

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This paper cites Deepxplore: Automated whitebox testing of deep learning systems.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Deepxplore: Automated whitebox testing of deep learning systems

Reference 39

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This paper cites Semidefinite relaxations for certifying robustness to adversarial examples.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Semidefinite relaxations for certifying robustness to adversarial examples

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.253862Z

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This paper cites Fast Neural Network Verification via Shadow Prices.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Fast Neural Network Verification via Shadow Prices

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:54:44.796173Z

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This paper cites Neural Network Verification with Branch-and-Bound for General Nonlinearities.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 42

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This paper cites Efficiently computing local lipschitz constants of neural networks via bound propagation.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Efficiently computing local lipschitz constants of neural networks via bound propagation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.244722Z

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Observation 0a005240-f7a9-43cd-b069-1ce991adb216 · outbound

This paper cites Beyond the single neuron convex barrier for neural network certification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Beyond the single neuron convex barrier for neural network certification

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.236113Z

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This paper cites Fast and effective robustness certification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Fast and effective robustness certification

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.227648Z

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Observation 85d7d93c-dcd4-497f-8387-0293a5a6fd3a · outbound

This paper cites Fast and effective robustness certification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Fast and effective robustness certification

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.219215Z

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This paper cites Boosting robustness certification of neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Boosting robustness certification of neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.210028Z

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This paper cites An abstract domain for certifying neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees An abstract domain for certifying neural networks

Reference 48

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This paper cites Deeptest: Automated testing of deep-neural-network-driven autonomous cars.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Deeptest: Automated testing of deep-neural-network-driven autonomous cars

Reference 49

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This paper cites The convex relaxation barrier, revisited: Tightened single-neuron relaxations for neural network verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees The convex relaxation barrier, revisited: Tightened single-neuron relaxations for neural network verification

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.200883Z

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Observation 8ed4b09d-9136-4d7d-be80-b7a9022814c9 · outbound

This paper cites Evaluating robustness of neural networks with mixed integer programming.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Evaluating robustness of neural networks with mixed integer programming

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.192167Z

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This paper cites Incremental verification of neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Incremental verification of neural networks

Reference 52

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Observation 2b4d0781-34ca-486d-9675-d1b9f8b489f8 · outbound

This paper cites Efficient formal safety analysis of neural networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Efficient formal safety analysis of neural networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.183337Z

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Observation 26cd30e4-6697-4ebf-89f8-46861ce152cc · outbound

This paper cites Formal security analysis of neural networks using symbolic intervals.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Formal security analysis of neural networks using symbolic intervals

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.174276Z

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Observation b6c7e80c-0e1a-439d-9ef5-20acc07f27a8 · outbound

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

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Beta-crown: Efficient bound propagation with per-neuron split constraints for neural network robustness verification

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.165397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2a774f9-2e5c-48ff-99c9-4f6244d0466f · outbound

This paper cites Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, and Clark W.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, and Clark W

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:44.302569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75835eed-2c69-48d2-bce6-1966718baea8 · outbound

This paper cites Improving transferability of adversarial examples with input diversity.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Improving transferability of adversarial examples with input diversity

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:44.305757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d751f2-8873-43c7-adf1-fb4031ed68fd · outbound

This paper cites kprop: Multi-neuron relaxation method for neural network robustness verification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees kprop: Multi-neuron relaxation method for neural network robustness verification

Reference 58

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.410257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88629b8e-5e92-409b-b6d7-ebbb82056e6e · outbound

This paper cites Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:54:44.401230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e0d65da-5904-41ea-9c45-47936538a010 · outbound

This paper cites Improving neural network verification through spurious region guided refinement.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Improving neural network verification through spurious region guided refinement

Reference 60

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.389600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f133450e-36b7-4554-a888-c2310d9e40e5 · outbound

This paper cites Derivative-free optimization via classification.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Derivative-free optimization via classification

Reference 61

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.381082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9cbd83d-214d-46d8-bbf1-d1fbd43cbad8 · outbound

This paper cites Dilum Bandara, Shiping Chen, Jianjun Zhao, and Yulei Sui.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Dilum Bandara, Shiping Chen, Jianjun Zhao, and Yulei Sui

Reference 62

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.372192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a582c4ae-349a-452d-a20c-c860650118f4 · outbound

This paper cites A branch and bound framework for stronger adversarial attacks of relu networks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees A branch and bound framework for stronger adversarial attacks of relu networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.151466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee637893-d531-4361-89e8-cf14f12fb00d · outbound

This paper cites Efficient neural network robustness certification with general activation functions.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Efficient neural network robustness certification with general activation functions

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:54:45.142513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 280f9ba1-4f90-44ef-b026-26c3a358899c · outbound

This paper cites Cleverest: accelerating cegar-based neural network verification via adversarial attacks.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Cleverest: accelerating cegar-based neural network verification via adversarial attacks

Reference 65

Resolution: verified exact; doi, observed 2026-08-06T14:54:44.362300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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