Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines | Paper Citation Record

Observation ae1d835a-568f-4184-a36c-55df8a005141 · outbound

This paper cites Solving flexible job shop scheduling problems in manufactur- ing with Quantum Annealing.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Solving flexible job shop scheduling problems in manufactur- ing with Quantum Annealing

Reference 1

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Observation a9737db7-a336-434b-90c3-73063d99f077 · outbound

This paper cites Online Combinatorial Optimization under Bandit Feedback.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Online Combinatorial Optimization under Bandit Feedback

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:51.324748Z

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Observation 4793fec4-95a8-47a1-ab4d-fa00e667870d · outbound

This paper cites Combinatorial Bandits Revisited.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Combinatorial Bandits Revisited

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:51.017038Z

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Observation 08c90551-d043-4518-b3eb-23a663ed8b14 · outbound

This paper cites Combinatorial bandits.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Combinatorial bandits

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:32.594727Z

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Observation 272fdd17-6e67-43a6-9751-3f9cc88e9a2a · outbound

This paper cites Designing metamaterials with quantum annealing and factorization machines.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Designing metamaterials with quantum annealing and factorization machines

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:32.666168Z

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Observation dcacfa0d-bcc9-4c42-8e24-33d1e829b75c · outbound

This paper cites Towards optimization of photonic-crystal surface-emitting lasers via quantum annealing.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Towards optimization of photonic-crystal surface-emitting lasers via quantum annealing

Reference 6

Resolution: verified exact; doi, observed 2026-08-06T23:42:43.897091Z

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Observation 6f4d2f33-3db7-441e-a59a-9b7e8d8020b6 · outbound

This paper cites Exploration of new chemical materials using black- box optimization with the D-wave quantum annealer.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Exploration of new chemical materials using black- box optimization with the D-wave quantum annealer

Reference 7

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:42:48.913467Z

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Observation feded6e7-c5c2-44b2-a42c-dd261b37f0c7 · outbound

This paper cites Machine Learning Supported Annealing for Prediction of Grand Canonical Crystal Struc- tures.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Machine Learning Supported Annealing for Prediction of Grand Canonical Crystal Struc- tures

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:33.001324Z

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Observation 2bbca45d-0f31-45a7-bae7-8b406820ef2e · outbound

This paper cites Application of factorization machine with quantum annealing to hyperparameter optimization and metamodel-based optimization in granular flow simulations.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Application of factorization machine with quantum annealing to hyperparameter optimization and metamodel-based optimization in granular flow simulations

Reference 9

Resolution: verified exact; doi, observed 2026-08-06T23:42:43.564776Z

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Observation 32c1a47a-b639-4f50-b261-b7984ea520bd · outbound

This paper cites Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T23:42:43.255956Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adb078b0-213e-4aeb-aa46-ebe177ca61d9 · outbound

This paper cites Application of QUBO solver using black-box optimization to structural design for resonance avoidance.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Application of QUBO solver using black-box optimization to structural design for resonance avoidance

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:42:33.255275Z

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Unavailable: canonical work link unavailable.

Observation 17acb7b7-7db6-4e0a-a7b3-2602f17cd8d7 · outbound

This paper cites Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:50.614757Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f0edbe5-cc28-4460-993c-093174556988 · outbound

This paper cites Adaptive operator selection with dynamic multi-armed bandits.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Adaptive operator selection with dynamic multi-armed bandits

Reference 13

Resolution: verified exact; doi, observed 2026-08-06T23:42:42.965857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19d50352-65e8-4e5d-a4a1-7de9c61640d0 · outbound

This paper cites Thompson sampling for dynamic multi-armed bandits.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Thompson sampling for dynamic multi-armed bandits

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:33.574886Z

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Observation 2e6ddf78-b72c-421f-883a-5158b519b73e · outbound

This paper cites DBA: dynamic multi-armed bandit algorithm.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines DBA: dynamic multi-armed bandit algorithm

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T23:42:42.670964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fdc60357-b926-4947-8e2b-c54d63b63ae3 · outbound

This paper cites Gambling in a rigged casino: The adversarial multi- armed bandit problem.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Gambling in a rigged casino: The adversarial multi- armed bandit problem

Reference 16

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:42:48.494843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad2d2ac1-6d6b-42de-8b0f-276d7e2ca8bc · outbound

This paper cites Online Non-convex Learning in Dynamic Environments.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Online Non-convex Learning in Dynamic Environments

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:50.301119Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90648e77-e7b6-4546-b05f-b82c9ef94de2 · outbound

This paper cites Online Non-Convex Optimization with Imper- fect Feedback.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Online Non-Convex Optimization with Imper- fect Feedback

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:49.978848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 460736fe-1ce6-4bf7-952c-6615c5f0484a · outbound

This paper cites Decoupled Weight Decay Regularization.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Decoupled Weight Decay Regularization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:33.980285Z

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Observation 54e01f2b-8f57-4c59-98a1-3f327e6cfe3b · outbound

This paper cites Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Combinatorial optimization by simulating adiabatic bifurcations in nonlinear Hamiltonian systems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:34.064740Z

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Observation 78ea9644-fd0f-4b7f-ab7d-ad50d7bfcce8 · outbound

This paper cites High-performance combinatorial optimization based on classical mechanics.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines High-performance combinatorial optimization based on classical mechanics

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:34.149674Z

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Unavailable: canonical work link unavailable.

Observation f2bd0145-479c-471b-8676-16af981440b7 · outbound

This paper cites Bifurcation-based adiabatic quantum computation with a nonlinear oscillator network.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Bifurcation-based adiabatic quantum computation with a nonlinear oscillator network

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T23:42:42.014829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6dc7fd66-b7d4-4442-9725-d2a0023b7754 · outbound

This paper cites FPGA-based simulated bifurcation machine.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines FPGA-based simulated bifurcation machine

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:34.338312Z

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Unavailable: canonical work link unavailable.

Observation af11879c-9589-4cd4-9466-a93b82fefcde · outbound

This paper cites Scaling out Ising machines using a multi-chip architecture for simulated bifurcation.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Scaling out Ising machines using a multi-chip architecture for simulated bifurcation

Reference 24

Resolution: verified exact; doi, observed 2026-08-06T23:42:41.686875Z

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correction dated 2021-07-27. Source: crossref record 10.1038/s41928-021-00637-2->10.1038/s41928-021-00546-4:correction, observed 2026-07-11T03:03:07.40856+00:00. This notice travels one citation hop only.

Observation 927af918-8b67-4416-9bf4-4e607989b466 · outbound

This paper cites Efficient and Scalable Architecture for Multiple- Chip Implementation of Simulated Bifurcation Machines.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Efficient and Scalable Architecture for Multiple- Chip Implementation of Simulated Bifurcation Machines

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:34.494938Z

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Unavailable: canonical work link unavailable.

Observation a7477b1f-c516-4800-b86c-d7897d69ea79 · outbound

This paper cites A Currency Arbitrage Machine Based on the Simulated Bifurcation Algorithm for Ultrafast Detection of Optimal Opportunity.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines A Currency Arbitrage Machine Based on the Simulated Bifurcation Algorithm for Ultrafast Detection of Optimal Opportunity

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:34.614839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a6882ed-4bfc-49bf-958b-0f7795ceb17d · outbound

This paper cites Pairs-Trading System Using Quantum-Inspired Combinatorial Optimization Accelerator for Optimal Path Search in Market Graphs.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Pairs-Trading System Using Quantum-Inspired Combinatorial Optimization Accelerator for Optimal Path Search in Market Graphs

Reference 27

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-06T23:42:47.677158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 217a29b8-4a42-4fce-a946-3556ca42b583 · outbound

This paper cites Real-Time Trading System Based on Selections of Potentially Profitable, Uncorrelated, and Balanced Stocks by NP-Hard Combinatorial Opti- mization.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Real-Time Trading System Based on Selections of Potentially Profitable, Uncorrelated, and Balanced Stocks by NP-Hard Combinatorial Opti- mization

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:42:47.449940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b612873e-77bf-426d-b79c-f3618ea0c978 · outbound

This paper cites Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines

Reference 29

Resolution: verified exact; doi, observed 2026-08-06T23:42:41.229963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4abc1b5f-0dd8-48d3-9688-8397e74af637 · outbound

This paper cites Distance-based clustering using QUBO formu- lations.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Distance-based clustering using QUBO formu- lations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:34.992570Z

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Observation 3603ea94-b60b-43f6-abed-0e72c1147a3c · outbound

This paper cites Deep Reinforcement Learning for 5G Networks: Joint Beam- forming, Power Control, and Interference Coordination.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Deep Reinforcement Learning for 5G Networks: Joint Beam- forming, Power Control, and Interference Coordination

Reference 31

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T23:42:47.116435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8de70282-1486-45e5-aea0-1524961710de · outbound

This paper cites Deep reinforcement learning for distributed dynamic MISO downlink-beamforming coordination.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Deep reinforcement learning for distributed dynamic MISO downlink-beamforming coordination

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:49.633473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec7e54d8-3d45-4fa9-9f37-9ba1a5ef9485 · outbound

This paper cites Deep Reinforcement Learning-Based On-Off Analog Beamform- ing Coordination for Downlink MISO Networks.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Deep Reinforcement Learning-Based On-Off Analog Beamform- ing Coordination for Downlink MISO Networks

Reference 33

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:42:46.701732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31a2413e-825d-442f-861b-63e778edc867 · outbound

This paper cites Factorization Machines.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Factorization Machines

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:49.382725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78f6cd8f-cf93-4407-9c8f-bd9f5f5fd0cc · outbound

This paper cites Statistical Properties of the log-cosh Loss Function Used in Machine Learning.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Statistical Properties of the log-cosh Loss Function Used in Machine Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:35.604751Z

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Observation 6be1094e-e5d6-44ed-a095-7fd94b3a5f35 · outbound

This paper cites Customer acquisition via display advertising using multi- armed bandit experiments.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Customer acquisition via display advertising using multi- armed bandit experiments

Reference 36

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:42:46.414751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4368997-c6c9-4d67-962e-ba50c9222510 · outbound

This paper cites Dynamic pricing and learning: historical origins, current research, and new directions.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Dynamic pricing and learning: historical origins, current research, and new directions

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T23:42:40.694936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 96d37d1c-4c9e-4771-9173-6a4a4a3e43f5 · outbound

This paper cites A contextual-bandit approach to personalized news article recommendation.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines A contextual-bandit approach to personalized news article recommendation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:35.875873Z

Source-reported events for the cited work

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Observation 993781c4-19a7-4312-8d1a-da1646bb3753 · outbound

This paper cites Hedging using reinforcement learning: Contextual k-armed bandit versus Q-learning.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Hedging using reinforcement learning: Contextual k-armed bandit versus Q-learning

Reference 39

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:42:36.002225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a18c90b-97d8-4b69-9ec4-fafe91c31f64 · outbound

This paper cites Ising formulations of many NP problems.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Ising formulations of many NP problems

Reference 40

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:42:36.144752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09473539-66e1-4845-8f38-6c4aed1c27ab · outbound

This paper cites On the computational complexity of Ising spin glass models.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines On the computational complexity of Ising spin glass models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:36.214882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 437a4d54-630d-4f37-8ccd-4121c10da484 · outbound

This paper cites Quantum annealing with manufactured spins.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Quantum annealing with manufactured spins

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:42:49.155304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1fed48de-eafd-47bc-ba0b-4cbc46965783 · outbound

This paper cites Ising machines as hardware solvers of combinatorial optimization problems.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Ising machines as hardware solvers of combinatorial optimization problems

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:36.544435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b45867b-dfd4-4e2e-8ea8-e618a8cc12f4 · outbound

This paper cites Digital Annealer for High-Speed Solving of Combinatorial optimization Problems and Its Applications.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Digital Annealer for High-Speed Solving of Combinatorial optimization Problems and Its Applications

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:36.654890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153d792e-1232-4235-8176-d8c461340109 · outbound

This paper cites STATICA: A 512-Spin 0.25M-Weight Annealing Processor With an All-Spin-Updates-at- Once Architecture for Combinatorial Optimization With Complete Spin–Spin Interactions.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines STATICA: A 512-Spin 0.25M-Weight Annealing Processor With an All-Spin-Updates-at- Once Architecture for Combinatorial Optimization With Complete Spin–Spin Interactions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:36.824006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7856d0-7a14-4ea2-be9f-f45125cb4ca5 · outbound

This paper cites Amorphica: 4-Replica 512 Fully Connected Spin 336MHz Metamorphic Annealer with Programmable Optimization Strategy and Compressed-Spin-Transfer Multi-Chip Extension.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Amorphica: 4-Replica 512 Fully Connected Spin 336MHz Metamorphic Annealer with Programmable Optimization Strategy and Compressed-Spin-Transfer Multi-Chip Extension

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:36.945021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5213db0-b010-41ed-b33c-b9cc0880e0fc · outbound

This paper cites 100,000-spin coherent Ising machine.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines 100,000-spin coherent Ising machine

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:37.017870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0694e33f-8efa-465b-ac98-4e75fca1ad07 · outbound

This paper cites an unresolved cited work.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Unresolved cited work

Reference 48

Resolution: verified exact; doi, observed 2026-08-06T23:42:40.003247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2d9aba4-cf4f-4095-895b-397e302e83ca · outbound

This paper cites A poor man’s coherent Ising machine based on opto- electronic feedback systems for solving optimization problems.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines A poor man’s coherent Ising machine based on opto- electronic feedback systems for solving optimization problems

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:37.256509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e017420c-7952-478a-bad8-339eb0065032 · outbound

This paper cites A 1,968-node coupled ring oscillator circuit for combinatorial optimization problem solving.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines A 1,968-node coupled ring oscillator circuit for combinatorial optimization problem solving

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:37.375278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfade6d5-a756-4526-bae0-837accbca3d6 · outbound

This paper cites Ultrafast Ising Machines using spin torque nano-oscillators.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Ultrafast Ising Machines using spin torque nano-oscillators

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:37.468703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7eb6868-216d-4102-bd6a-c0ab3054bd13 · outbound

This paper cites Solving combinatorial optimisation problems using oscil- lator based Ising machines.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Solving combinatorial optimisation problems using oscil- lator based Ising machines

Reference 52

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This paper cites Scaling advantage of chaotic amplitude control for high-performance combinatorial optimiza- tion.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Scaling advantage of chaotic amplitude control for high-performance combinatorial optimiza- tion

Reference 53

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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines An integrated coupled oscillator network to solve optimization problems

Reference 54

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Observation 55cbaeed-81b0-4686-b4cc-b7b37390e179 · outbound

This paper cites Black-box optimization for integer-variable problems using Ising machines and factorization machines.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Black-box optimization for integer-variable problems using Ising machines and factorization machines

Reference 55

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Observation 02615e3b-97d9-4db8-a69e-c0b64b66bbf0 · outbound

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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Deep Learning is Robust to Massive Label Noise

Reference 56

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Observation 0fad7e9f-5d52-44a1-9c07-e1bfb0c1d544 · outbound

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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Adam: A Method for Stochastic Optimization

Reference 57

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Observation 6360bb62-cc2e-4235-afcf-af3f531b27a7 · outbound

This paper cites Correlation-Diversified Portfolio Construction by Finding Maximum Independent Set in Large-Scale Market Graph.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Correlation-Diversified Portfolio Construction by Finding Maximum Independent Set in Large-Scale Market Graph

Reference 58

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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels

Reference 59

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Observation ca247d27-afeb-4f50-9121-c7402a890437 · outbound

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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Unresolved cited work

Reference 198

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Observation 40155549-bef9-4086-a391-8162949c58ee · outbound

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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Unresolved cited work

Reference 1000

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Observation 71dedd98-3545-483c-9518-30b30c819bf7 · outbound

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Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Unresolved cited work

Reference 6085

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Observation 39301bc2-0770-48bc-8d16-5eaa0f92899c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines Adam: A Method for Stochastic Optimization

Reference 6980

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