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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2506.16924.

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

pith.paper-citation-record.v1
2506.16924 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:38.604840Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

63 of 63 outbound references displayed

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  • verified fuzzy8
  • unresolved30
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External citation measurements

No source-named external measurement is stored.

Outbound references

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

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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

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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

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Unavailable: canonical work link unavailable.

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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

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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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

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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

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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

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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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

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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

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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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

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Source-reported events for the cited work

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.

source=pdf_text observed=2026-08-06T23:42:34.424753Z digest=sha256:67320bb5e501504054f4b72cfcffe98df7454e1952aefe6bcf99d4df57ea98b2

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

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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

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:35.066941Z digest=sha256:3b34ad87c4df225921da5eda6ac4afc238ff82e66a8aaa049ce87f7352170847

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:35.158078Z digest=sha256:584585888bc4b0d9d1beb65a7ee050db0b91d5c55ea481e6f4341fec6ce7b966

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:35.460590Z digest=sha256:2e22fd1856ee3a8193f19898de53dcf47001eaf05b580c172e51374d86df679c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:35.604751Z digest=sha256:6b82897b5b2c478c035496bac03f0ba506eda85393063c2b2d0d4aacd1da4b77

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:35.682122Z digest=sha256:cc5ee2fd3b6269d9494cef02bb0f7016b46d9d6c55ec822247e3def51465732a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:35.774837Z digest=sha256:ef2a73d89e43ebf337e66abd8688f8b2b18e009a4bfb5bec3cf692d56332a055

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:35.875873Z digest=sha256:4d10f2a50c3bb8129ccfe8b0fdb64dc8c2a8647896194715350a43076852650f

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

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no resolver link, observed 2026-08-06T23:42:36.002225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.002225Z digest=sha256:8595bcc9fc1add311cda7673d0a495b9848dac5aa99e45eea701fa2d4f306049

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
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no resolver link, observed 2026-08-06T23:42:36.144752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.144752Z digest=sha256:1116cb9bcdec21133f0b151c372e0df03e557fd19ef7d9a4772aa8a99078ebf9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.214882Z digest=sha256:0b85c35e5c7ea6fbed9a8f92f5d91e44d9575b919629975ff3273707071b5938

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:36.314837Z digest=sha256:66c077a7e33d7de74e6ae76322fe622015cc5525026f03bd3b018b5d54d85291

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.544435Z digest=sha256:3c4087396098d6b175e74ab487ff67d811cf0fd982d0d0894c0557ece2c12a96

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.654890Z digest=sha256:747d798feef32d83cc764fcb2b9b9298ec24098969ba935c4b97683385093887

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.824006Z digest=sha256:b1f678d19075d4541181fe077a06c3d939a57d324507d72e2a80d7ed022e7bf1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.945021Z digest=sha256:9450d29a22e70852ffe51e87f31af522ee276d39a4b88ec910c310eb170fd304

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.

source=pdf_text observed=2026-08-06T23:42:37.017870Z digest=sha256:7abf6b72489781ef9184ff1fbe82bea5b40ae3bdddb39dcf07a24fcb3801b6f6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:37.133412Z digest=sha256:d1485b22ecabf116c4cde7787b03468cc38830b3b6522a4765b3b60937856460

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:42:37.256509Z digest=sha256:3c30298298565f31df88ca3782d6a6658422823e172d0dbb69499e785dd50259

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:37.375278Z digest=sha256:f933492f2ffa2865f196050ab7dd6f29a8fa380f18881eb9cc295dde7d7f144d

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.

source=pdf_text observed=2026-08-06T23:42:37.468703Z digest=sha256:131305e32ffb3922917f1f3dd3bc2bedd86deafe893586b7d1f9c2136eaefdf0

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

Resolution
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no resolver link, observed 2026-08-06T23:42:37.593932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:37.593932Z digest=sha256:a990478b4b6c8e02512f12eff95b30c7a4286ec98de86e49a593feb63b915283

Observation 10658dc8-611b-4df0-95f0-34fb1ef82ceb · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:37.724835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:37.724835Z digest=sha256:ad1f9f7f147a3ec0662238af2373c169ab7c0c6a1a32696488ab948b90ce1812

Observation bf75ab27-4ce4-4531-bc91-4f55bf4177b4 · outbound

This paper cites An integrated coupled oscillator network to solve optimization problems.

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

Reference 54

Resolution
verified exact
doi, observed 2026-08-06T23:42:39.289437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:37.824775Z digest=sha256:7ad269b189b5eb6a8d010b867031dc60836c7ba67b45780b64981386fc9e7e98

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

Resolution
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no resolver link, observed 2026-08-06T23:42:37.937143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:37.937143Z digest=sha256:72d9c537f54b7d4ba138bcbab5f67cbf1715d2b342dea7c4360fcab57c3f713e

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

This paper cites Deep Learning is Robust to Massive Label Noise.

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

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:38.099351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:38.099351Z digest=sha256:e33d666ac59dc58e1eb4074480e89727e3edec650484825626ae4656a165f142

Observation 0fad7e9f-5d52-44a1-9c07-e1bfb0c1d544 · 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 57

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:38.204963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:38.204963Z digest=sha256:a6620b42619eb4537843b8cda6d0f92a9e327b9967ccc99411280343e4b42d76

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T23:42:45.065140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:38.484829Z digest=sha256:9700d7bb5f297797cb870b2f8ae633d4c916c541330c3f1a8c75f6658ea44a5b

Observation 4ac27d49-37a3-4199-b7ed-13348665128f · outbound

This paper cites Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels.

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

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T23:42:44.724841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T23:42:38.604840Z digest=sha256:b7170721b7d224fbaf012643211028c475e6873db52b2a9d7728065e00afdb3e

Observation ca247d27-afeb-4f50-9121-c7402a890437 · 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 198

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unresolved
no resolver link, observed 2026-08-06T23:42:36.425050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:36.425050Z digest=sha256:f12a207b92043681c64e1790994dda176c066a4fc52f179f1459245a8b356418

Observation 40155549-bef9-4086-a391-8162949c58ee · 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 1000

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:35.515901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:35.515901Z digest=sha256:42cc46a6d7ecb43a606cb61fa1e81a6801ccd5dcd84d8296c26158bca71ed6d1

Observation 71dedd98-3545-483c-9518-30b30c819bf7 · 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 6085

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:35.247555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:35.247555Z digest=sha256:75a82b055d14a114a2f716aaff725181889f76714109d5b3713abad5811dc933

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

Resolution
unresolved
no resolver link, observed 2026-08-06T23:42:38.338218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:38.338218Z digest=sha256:bab1b98721ee6046a327013847cc11fff2e42f0ea0fc7863c02777459d7b800c

Pith citing papers

No inbound Pith citation observations are available.