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Paper Citation Record · LEDGER

Mining Verdict Boundaries for Neural Network Verification

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2607.28954.

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

pith.paper-citation-record.v1
2607.28954 v1

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measured 44 of 44 reference resolution

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 9969511b-c526-462b-b231-33df52a16b2b · outbound

This paper cites Information processing letters5(SLAC-PUB-1679) (1976).https://doi.org/10.

Mining Verdict Boundaries for Neural Network Verification Information processing letters5(SLAC-PUB-1679) (1976).https://doi.org/10

Reference 1

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Mining Verdict Boundaries for Neural Network Verification Unresolved cited work

Reference 2

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This paper cites The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results.

Mining Verdict Boundaries for Neural Network Verification The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results

Reference 3

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This paper cites In: Con- ference on Uncertainty in Artificial Intelligence.

Mining Verdict Boundaries for Neural Network Verification In: Con- ference on Uncertainty in Artificial Intelligence

Reference 4

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This paper cites Journal of Machine Learning Research21(2020) (2020),https://jmlr.org/papers/v21/19-468.html.

Mining Verdict Boundaries for Neural Network Verification Journal of Machine Learning Research21(2020) (2020),https://jmlr.org/papers/v21/19-468.html

Reference 5

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This paper cites Tighter Abstract Queries in Neural Network Verification.

Mining Verdict Boundaries for Neural Network Verification Tighter Abstract Queries in Neural Network Verification

Reference 6

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This paper cites Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems.

Mining Verdict Boundaries for Neural Network Verification Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Reference 7

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

Mining Verdict Boundaries for Neural Network Verification Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition

Reference 8

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This paper cites In: Automated Technology for Verification and Analysis: 15th Int.

Mining Verdict Boundaries for Neural Network Verification In: Automated Technology for Verification and Analysis: 15th Int

Reference 9

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This paper cites In: 2025 Design, Automation & Test in Europe Conference (DATE).

Mining Verdict Boundaries for Neural Network Verification In: 2025 Design, Automation & Test in Europe Conference (DATE)

Reference 10

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This paper cites In: International Conference on Machine Learning.

Mining Verdict Boundaries for Neural Network Verification In: International Conference on Machine Learning

Reference 11

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This paper cites Explaining and Harnessing Adversarial Examples.

Mining Verdict Boundaries for Neural Network Verification Explaining and Harnessing Adversarial Examples

Reference 12

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This paper cites In: 2021 IEEE 32nd Int.

Mining Verdict Boundaries for Neural Network Verification In: 2021 IEEE 32nd Int

Reference 13

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Mining Verdict Boundaries for Neural Network Verification In: IJCAI

Reference 14

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Observation dbf177b0-45eb-4648-8543-f03797a51e69 · outbound

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Mining Verdict Boundaries for Neural Network Verification Outside the Box: Abstraction-Based Monitoring of Neural Networks

Reference 15

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Mining Verdict Boundaries for Neural Network Verification In: Proceedings of the AAAIConferenceonArtificialIntelligence.vol.38,pp.21152–21160(2024).https: //doi.org/10.1609/aaai.v38i19.30108

Reference 16

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This paper cites In: Computer Aided Verification: 29th Int.

Mining Verdict Boundaries for Neural Network Verification In: Computer Aided Verification: 29th Int

Reference 17

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This paper cites DNN Verification, Reachability, and the Exponential Function Problem.

Mining Verdict Boundaries for Neural Network Verification DNN Verification, Reachability, and the Exponential Function Problem

Reference 18

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Mining Verdict Boundaries for Neural Network Verification In: Majumdar, R., Kunčak, V

Reference 19

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This paper cites Foundations and Trends®in Op- timization4(3-4), 244–404 (2021).https://doi.org/10.1561/2400000035.

Mining Verdict Boundaries for Neural Network Verification Foundations and Trends®in Op- timization4(3-4), 244–404 (2021).https://doi.org/10.1561/2400000035

Reference 20

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Mining Verdict Boundaries for Neural Network Verification In: International Conference on Runtime Verification

Reference 21

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Mining Verdict Boundaries for Neural Network Verification Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 22

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Mining Verdict Boundaries for Neural Network Verification Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates

Reference 23

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This paper cites In: Principles of Verification: Cycling the Probabilis- tic Landscape: Essays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday, Part III, pp.

Mining Verdict Boundaries for Neural Network Verification In: Principles of Verification: Cycling the Probabilis- tic Landscape: Essays Dedicated to Joost-Pieter Katoen on the Occasion of His 60th Birthday, Part III, pp

Reference 24

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Mining Verdict Boundaries for Neural Network Verification In: International Symposium on Auto- mated Technology for Verification and Analysis

Reference 25

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Mining Verdict Boundaries for Neural Network Verification mining verdict boundaries for neural network verification

Reference 26

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Mining Verdict Boundaries for Neural Network Verification Advances in Neural Information Processing Systems35, 2350– 2364 (2022),http://papers.nips.cc/paper_files/paper/2022/hash/ 0ff54b4ec4f70b3ae12c8621ca8a49f4-Abstract-Conference.html

Reference 27

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Mining Verdict Boundaries for Neural Network Verification In: Advances in Neural Information Processing 20 J

Reference 28

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Mining Verdict Boundaries for Neural Network Verification ACM on Programming Languages3(POPL), 1–30 (2019).https: //doi.org/10.1145/3290354

Reference 29

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Mining Verdict Boundaries for Neural Network Verification Machine Learning112(10), 3685–3712 (2023).https://doi.org/10.1007/ s10994-021-06050-2

Reference 30

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Reference 31

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Mining Verdict Boundaries for Neural Network Verification Advances in neural information process- ing systems31(2018),https://proceedings.neurips.cc/paper/2018/hash/ 2ecd2bd94734e5dd392d8678bc64cdab-Abstract.html

Reference 32

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Mining Verdict Boundaries for Neural Network Verification In: 27th USENIX Security Symp

Reference 33

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Mining Verdict Boundaries for Neural Network Verification Advances in Neural Information Processing Sys- tems34, 29909–29921 (2021),https://proceedings.neurips.cc/paper/2021/ hash/fac7fead96dafceaf80c1daffeae82a4-Abstract.html

Reference 34

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Mining Verdict Boundaries for Neural Network Verification In: International Conference on Artificial Intelligence and Statistics

Reference 35

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Mining Verdict Boundaries for Neural Network Verification In: Gurfinkel, A., Ganesh, V

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This paper cites In: 2023 IEEE Conference on Secure and Trustworthy Machine Learn- ing (SaTML).

Mining Verdict Boundaries for Neural Network Verification In: 2023 IEEE Conference on Secure and Trustworthy Machine Learn- ing (SaTML)

Reference 37

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This paper cites Advances in Neural Information Processing Systems36(2024),http://papers.nips.cc/paper_files/paper/2023/hash/ 46907c2ff9fafd618095161d76461842-Abstract-Conference.html.

Mining Verdict Boundaries for Neural Network Verification Advances in Neural Information Processing Systems36(2024),http://papers.nips.cc/paper_files/paper/2023/hash/ 46907c2ff9fafd618095161d76461842-Abstract-Conference.html

Reference 38

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This paper cites In: Raedt, L.D.

Mining Verdict Boundaries for Neural Network Verification In: Raedt, L.D

Reference 39

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This paper cites In: 2022 Formal Methods in Computer-Aided Design (FMCAD).

Mining Verdict Boundaries for Neural Network Verification In: 2022 Formal Methods in Computer-Aided Design (FMCAD)

Reference 40

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This paper cites In: 39th European Conference on Object-Oriented Program- ming (ECOOP 2025).

Mining Verdict Boundaries for Neural Network Verification In: 39th European Conference on Object-Oriented Program- ming (ECOOP 2025)

Reference 41

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Mining Verdict Boundaries for Neural Network Verification In: ECAI 2020, pp

Reference 42

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This paper cites In: Gurfinkel, A., Ganesh, V.

Mining Verdict Boundaries for Neural Network Verification In: Gurfinkel, A., Ganesh, V

Reference 43

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This paper cites In: Formal Methods: 26th International Sym- posium, FM 2024, Milan, Italy, September 9–13, 2024, Proceedings, Part I.

Mining Verdict Boundaries for Neural Network Verification In: Formal Methods: 26th International Sym- posium, FM 2024, Milan, Italy, September 9–13, 2024, Proceedings, Part I

Reference 44

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