Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:13:06.286124Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2604.11667.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:13:06.286124Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 1
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization A Quantum Approximate Optimization Algorithm
Reference 3
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization G., Venturelli, D., & Biswas, R
Reference 4
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization J., Mare ˇcek, J., & Woerner, S
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization A note on the isotonic vector-valued convex functions
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Q., Love, P
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization R., Romero, J., Babbush, R., & Aspuru-Guzik, A
Reference 10
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization E., Smith, J
Reference 11
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 16
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Reference 17
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Observation 6fd4b1dd-04ec-4296-842f-66f3d40ed4f0 · outbound
A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 18
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 19
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 21
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 22
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 23
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 26
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization (2016).MQHOA algorithm with energy level stabilizing process
Reference 27
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Observation dafa64b5-026b-4da3-8b1e-1cb1e22847de · outbound
A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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Observation 1d70cf73-c70f-4a18-ad1b-28b99fe8d029 · outbound
A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization (2006).Quantum-inspired multiobjective evolutionary algorithm for multiobjective 0/1 knapsack problems
Reference 29
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 33
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 36
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Reference 44
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms
Reference 46
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Reference 47
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Reference 48
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization EAQGA: A Quantum-Enhanced Genetic Algorithm with Novel Entanglement-Aware Crossovers
Reference 49
Source-reported events for the cited work
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Reference 50
Source-reported events for the cited work
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Reference 51
Source-reported events for the cited work
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Observation 156c8b58-7656-4c8c-baea-6b7a2083243b · outbound
A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization Unresolved cited work
Reference 52
Source-reported events for the cited work
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No inbound Pith citation observations are available.