Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem | Paper Citation Record

Observation 3ae2b108-fd9e-4a18-8a4e-e9660be6c197 · outbound

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Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Unresolved cited work

Reference 1

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Observation 6f07c3c8-72b5-4e40-a7d1-9c9e56e0f830 · outbound

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Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Unresolved cited work

Reference 2

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Observation 62f4cce7-46ca-4ffc-bcb2-ecbe602c7c08 · outbound

This paper cites A survey of the merit factor problem for binary sequences.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem A survey of the merit factor problem for binary sequences

Reference 3

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Observation 499d8f7b-2af6-4ddf-995a-241319f40cbd · outbound

This paper cites Moments of autocorrelation demerit factors of binary sequences.Designs, Codes and Cryptography, pages 1–45, 2024.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Moments of autocorrelation demerit factors of binary sequences.Designs, Codes and Cryptography, pages 1–45, 2024

Reference 4

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Observation 3bcf8b78-7e3e-474d-b9e2-a90d4d88faaa · outbound

This paper cites Multi-criteria selection of a synchroni- sation word for low-power iot receivers based on the iqrf standard.Scientific Reports, 16(1):8777, 2026.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Multi-criteria selection of a synchroni- sation word for low-power iot receivers based on the iqrf standard.Scientific Reports, 16(1):8777, 2026

Reference 5

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Observation af6b3aad-131f-4321-9a53-0c95845b90eb · outbound

This paper cites Bernasconi.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Bernasconi

Reference 6

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Observation c0e3400f-0e46-40b3-badd-c298997c8fa0 · outbound

This paper cites Shapiro, Gordon H.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Shapiro, Gordon H

Reference 7

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Observation 00c04ba0-433a-4424-a99d-3691c775a66a · outbound

This paper cites Large-scale gnss spreading code optimization.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Large-scale gnss spreading code optimization

Reference 8

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Observation 20d1d557-6d5c-40d0-80b6-30a66cb2b094 · outbound

This paper cites Spreading code optimization for low-earth orbit satellites via mixed-integer convex programming.EURASIP Journal on Advances in Signal Processing, 2024(1):67, 2024.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Spreading code optimization for low-earth orbit satellites via mixed-integer convex programming.EURASIP Journal on Advances in Signal Processing, 2024(1):67, 2024

Reference 9

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Observation 95a4a556-996f-439e-b11b-82a31dec4a1a · outbound

This paper cites A competitive nisq and qubit-efficient solver for the labs problem.arXiv preprint arXiv:2506.17391, 2025.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem A competitive nisq and qubit-efficient solver for the labs problem.arXiv preprint arXiv:2506.17391, 2025

Reference 10

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Observation eb15ba63-fd12-4048-a8af-241c704a3cfe · outbound

This paper cites Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem.Science Advances, 10(22):eadm6761, 2024.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem.Science Advances, 10(22):eadm6761, 2024

Reference 11

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Observation 4f04f1ef-955d-49c7-a96c-9a40c182e4c4 · outbound

This paper cites Sequences with small correlation.Designs, Codes and Cryptography, 78, 01 2016.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Sequences with small correlation.Designs, Codes and Cryptography, 78, 01 2016

Reference 12

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Observation 862af65a-92d2-4050-8548-9d207d3baa87 · outbound

This paper cites Code selection for CDMA systems.Department of Information Studies, University of Tampere, Finland, 1997.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Code selection for CDMA systems.Department of Information Studies, University of Tampere, Finland, 1997

Reference 13

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Observation 5e3e74b4-af91-406f-8637-5aafc00199b3 · outbound

This paper cites Mullen and Daniel Panario.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Mullen and Daniel Panario

Reference 14

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Observation 74d98647-f13f-415d-9165-7f9612dda64f · outbound

This paper cites Oddaljenost neperiodi ˇcnih binarnih zaporedij glede na dve meri avtokorelacijskih lastnosti.Elektrotehniski Vestnik, 92(3):97–103, 2025.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Oddaljenost neperiodi ˇcnih binarnih zaporedij glede na dve meri avtokorelacijskih lastnosti.Elektrotehniski Vestnik, 92(3):97–103, 2025

Reference 15

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Observation 0be5af54-0e5f-4485-8a87-f43f6158ccb8 · outbound

This paper cites Metastable states in short-ranged p-spin glasses.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Metastable states in short-ranged p-spin glasses

Reference 16

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Observation a7fcbbef-4574-4947-9c16-216d30077c94 · outbound

This paper cites Uniform manifold approximation and projection.Nature Reviews Methods Primers, 4(1):82, 2024.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Uniform manifold approximation and projection.Nature Reviews Methods Primers, 4(1):82, 2024

Reference 17

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Observation a9fd5e59-7208-4600-8ae2-4e1d99351934 · outbound

This paper cites Low autocorrelation binary sequences.Journal of Physics A: Mathematical and Theoretical, 49(16):165001, 2016.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Low autocorrelation binary sequences.Journal of Physics A: Mathematical and Theoretical, 49(16):165001, 2016

Reference 18

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Observation beb78a74-59c7-4871-b27d-d8a4b882884d · outbound

This paper cites New Classes of Binary Sequences with High Merit Factor.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem New Classes of Binary Sequences with High Merit Factor

Reference 19

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Observation 9ea1c452-e9f1-4353-831e-6666eae9d9c4 · outbound

This paper cites Exhaustive search for low-autocorrelation binary sequences.Journal of Physics A: Mathematical and General, 29(18):L473, 1996.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Exhaustive search for low-autocorrelation binary sequences.Journal of Physics A: Mathematical and General, 29(18):L473, 1996

Reference 20

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Observation e04e998c-2897-45d2-b3bf-c1a47a12540c · outbound

This paper cites Exploiting relaxation in local search for labs.Annals of Operations Research, 156:129–141, 12 2007.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Exploiting relaxation in local search for labs.Annals of Operations Research, 156:129–141, 12 2007

Reference 21

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Observation 9f46492b-a283-4cc2-8b41-e18b3bdee13b · outbound

This paper cites Improved Branch-and-Bound for Low Autocorrelation Binary Sequences.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Improved Branch-and-Bound for Low Autocorrelation Binary Sequences

Reference 22

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Observation b882ac37-1383-4ce0-aa7a-20621c13607f · outbound

This paper cites Parallele optimierungsstrategien des labs-problems in einem gpu-grid, 2010.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Parallele optimierungsstrategien des labs-problems in einem gpu-grid, 2010

Reference 23

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Observation 8d67c819-c539-40a5-80db-c9856b5e275a · outbound

This paper cites Hoholdt and H.E.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Hoholdt and H.E

Reference 24

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Observation b12f959a-5f1f-4d3c-ba23-39bde6770bcb · outbound

This paper cites Borwein, K.-K.S.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Borwein, K.-K.S

Reference 25

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Observation 536ad9aa-8947-4d90-baa4-be0af477c5c7 · outbound

This paper cites Efficient Optimization of the Merit Factor of Long Binary Sequences.IEEE Transactions on Information Theory, 57(12):8084–8094, 2011.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Efficient Optimization of the Merit Factor of Long Binary Sequences.IEEE Transactions on Information Theory, 57(12):8084–8094, 2011

Reference 26

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Observation 6428ae9a-c380-4d3f-9459-873fe5bc4e27 · outbound

This paper cites Katz, and Kai-Uwe Schmidt.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Katz, and Kai-Uwe Schmidt

Reference 27

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Observation e1afe054-a0e3-4163-82ec-e7486e347885 · outbound

This paper cites Local search algorithm for low autocorrelation binary sequences.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Local search algorithm for low autocorrelation binary sequences

Reference 28

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Observation 118ce322-4c87-4b35-b60b-7ea889112cec · outbound

This paper cites On the skew-symmetric binary sequences and the merit factor problem.Digital Signal Processing, 156:104793, 2025.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem On the skew-symmetric binary sequences and the merit factor problem.Digital Signal Processing, 156:104793, 2025

Reference 29

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Observation 5bf50e7a-315b-47f8-8eb8-ae09c88602c4 · outbound

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Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Unresolved cited work

Reference 30

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Observation ca0e86ca-3b7c-4c44-abf9-80f91af570b6 · outbound

This paper cites Gallardo, Carlos Cotta, and Antonio J.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Gallardo, Carlos Cotta, and Antonio J

Reference 31

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Observation e784422f-73ca-4461-b9fd-527f38f0d315 · outbound

This paper cites Low-autocorrelation binary sequences: On improved merit factors and runtime predictions to achieve them.Applied Soft Computing, 56:262–285, 2017.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Low-autocorrelation binary sequences: On improved merit factors and runtime predictions to achieve them.Applied Soft Computing, 56:262–285, 2017

Reference 32

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Observation 2626d870-871c-49a4-a132-e9a805e1905d · outbound

This paper cites Parallel self-avoiding walks for a low-autocorrelation binary sequences problem.Journal of Computational Science, 77:102260, 2024.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Parallel self-avoiding walks for a low-autocorrelation binary sequences problem.Journal of Computational Science, 77:102260, 2024

Reference 33

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Observation 20ba8ce3-9419-46c2-887c-bd7543d136af · outbound

This paper cites A Heuristic Algorithm for a Low Autocorrelation Binary Sequence Problem With Odd Length and High Merit Factor.IEEE Access, 6:4127–4134, 2018.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem A Heuristic Algorithm for a Low Autocorrelation Binary Sequence Problem With Odd Length and High Merit Factor.IEEE Access, 6:4127–4134, 2018

Reference 34

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Observation 78be82df-934c-4791-b3a3-385da121af88 · outbound

This paper cites Computational Search of Long Skew-symmetric Binary Sequences with High Merit Factors.MENDEL, 28(2):17–24, 12 2022.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Computational Search of Long Skew-symmetric Binary Sequences with High Merit Factors.MENDEL, 28(2):17–24, 12 2022

Reference 35

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Observation 606a43c2-b26f-4cfa-9a04-08a7eeaedf42 · outbound

This paper cites Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems.Information Sciences, 633:469–490, 2023.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Analysis based on statistical distributions: A practical approach for stochastic solvers using discrete and continuous problems.Information Sciences, 633:469–490, 2023

Reference 36

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Observation 7a73b76f-48d9-481d-9bc0-69416f277fa2 · outbound

This paper cites Toward hybrid platform for evolutionary computations of hard discrete problems.Procedia Computer Science, 108:877–886, 2017.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Toward hybrid platform for evolutionary computations of hard discrete problems.Procedia Computer Science, 108:877–886, 2017

Reference 37

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Observation 78a857b6-c127-44a1-a272-7be68cad7a85 · outbound

This paper cites Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment

Reference 38

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Observation 0145197e-3194-4939-9fb7-6b37cb9c08dd · outbound

This paper cites A deep neural network as a tabu support in solving labs problem.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem A deep neural network as a tabu support in solving labs problem

Reference 39

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Observation d10eb78d-2346-4c19-95f4-e9431e331b21 · outbound

This paper cites New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search

Reference 40

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Observation d8cd4c2f-6764-475d-817e-6ce3b50b9162 · outbound

This paper cites Scaling advantage with quantum-enhanced memetic tabu search for labs.arXiv preprint arXiv:2511.04553, 2025.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Scaling advantage with quantum-enhanced memetic tabu search for labs.arXiv preprint arXiv:2511.04553, 2025

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-14T17:45:25.949294Z

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Observation ff6b45f3-ad7b-41fc-9c7f-a84b25db095c · outbound

This paper cites Dual-step optimization for binary sequences with high merit factors.Digital Signal Processing, 165:105316, 2025.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Dual-step optimization for binary sequences with high merit factors.Digital Signal Processing, 165:105316, 2025

Reference 42

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Observation 95985771-3407-4a23-9680-fc065d153cc1 · outbound

This paper cites A tutorial on thompson sampling.Foundations and Trends (R) in Machine Learning, 11(1):1–96, 2018.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem A tutorial on thompson sampling.Foundations and Trends (R) in Machine Learning, 11(1):1–96, 2018

Reference 43

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Observation b20e589e-6743-4433-a2e1-826ee0b1b86b · outbound

This paper cites Katehakis and Arthur F.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Katehakis and Arthur F

Reference 44

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Observation 413b1997-fa5d-4b2e-8094-4686a870a746 · outbound

This paper cites Thompson.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Thompson

Reference 45

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Observation 7d1e32f9-a3fa-4dda-8c9e-d67f77ac69ba · outbound

This paper cites On the theory of apportionment.American Journal of Mathematics, 57(2):450–456, 1935.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem On the theory of apportionment.American Journal of Mathematics, 57(2):450–456, 1935

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-14T17:45:25.949294Z

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Observation 081d3f32-d3a4-4d49-8939-13e8072482e3 · outbound

This paper cites ’A modern Bayesian look at the multi-armed bandit’ by Steven L.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem ’A modern Bayesian look at the multi-armed bandit’ by Steven L

Reference 47

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Observation 890ecbcb-53a1-451f-a761-231e0eabc66b · outbound

This paper cites An empirical evaluation of thompson sampling.Advances in neural information processing systems, 24, 2011.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem An empirical evaluation of thompson sampling.Advances in neural information processing systems, 24, 2011

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-14T17:45:25.949294Z

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Observation 7f5a423b-92ef-4bff-a404-dd87dcf96779 · outbound

This paper cites Analysis of thompson sampling for the multi-armed bandit problem.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Analysis of thompson sampling for the multi-armed bandit problem

Reference 49

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Observation 487ea651-62d3-471a-8f52-a5ca688852e9 · outbound

This paper cites Space/time trade-offs in hash coding with allowable errors.Communications of the ACM, 13(7):422–426, 1970.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Space/time trade-offs in hash coding with allowable errors.Communications of the ACM, 13(7):422–426, 1970

Reference 50

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Observation 53a88631-572d-4f75-987a-43f21f60db66 · outbound

This paper cites Pads: Python algorithms and data structures, 2015.

Prioritizing Search Space Regions in the Low Autocorrelation Binary Sequences Problem Pads: Python algorithms and data structures, 2015

Reference 51

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