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Paper Citation Record · LEDGER

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem

As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 4 inbound Pith citation observations for arXiv:2412.07460.

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

pith.paper-citation-record.v1
2412.07460 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:53:50.134562Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:43:49.864756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:31:46.929434Z

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b3763a7-0ade-497c-ab43-a24157fc01b0 · outbound

This paper cites Quantum supremacy using a programmable superconducting processor.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Quantum supremacy using a programmable superconducting processor

Reference 1

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Observation 12c85be7-6cce-4bee-8c04-c6162d42068d · outbound

This paper cites Perspectives of quantum annealing: Methods and implemen- tations.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Perspectives of quantum annealing: Methods and implemen- tations

Reference 2

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Observation 5c1c9338-c8b5-49f0-ae3f-adb16bcb48ed · outbound

This paper cites Solving maximum cut problems by simulated annealing.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Solving maximum cut problems by simulated annealing

Reference 3

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Observation 0da06ef4-720a-4780-b252-c0edaabfffee · outbound

This paper cites Benchmarking the MAX-CUT problem on the Simulated Bifurcation Machine.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Benchmarking the MAX-CUT problem on the Simulated Bifurcation Machine

Reference 4

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Observation 8d06905f-da9a-4a70-8b57-300e4ce4c305 · outbound

This paper cites BiqBin: a parallel branch-and-bound solver for binary quadratic problems with linear constraints.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem BiqBin: a parallel branch-and-bound solver for binary quadratic problems with linear constraints

Reference 5

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Observation fdc044be-ba90-434c-a3e2-d730571e3080 · outbound

This paper cites MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem MADAM: a parallel exact solver for max-cut based on semidefinite programming and ADMM

Reference 6

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Observation 1343db2e-d651-41a1-872b-70a64efdfdbd · outbound

This paper cites Computational multiqubit tunnelling in programmable quantum annealers.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Computational multiqubit tunnelling in programmable quantum annealers

Reference 7

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Observation 35ec61f1-d171-49e1-ab24-99ba7f537c60 · outbound

This paper cites What is the computational value of finite-range tunneling?.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem What is the computational value of finite-range tunneling?

Reference 8

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Observation c908acff-b591-402e-93d9-773625a69d38 · outbound

This paper cites The potential of quantum annealing for rapid solution structure identification.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem The potential of quantum annealing for rapid solution structure identification

Reference 9

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Observation 77e24372-b023-4227-a152-4b2a1afb8537 · outbound

This paper cites On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization

Reference 10

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Source-reported events for the cited work

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Observation 251c3376-42ba-4a90-8216-f33e084d9a7a · outbound

This paper cites Solving set cover with pairs problem using quantum annealing.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Solving set cover with pairs problem using quantum annealing

Reference 11

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Observation 8efccea4-c981-46c0-89d4-dcd9616f1603 · outbound

This paper cites Quantum annealing amid local ruggedness and global frustra- tion.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Quantum annealing amid local ruggedness and global frustra- tion

Reference 12

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Observation 65ac8776-ce5b-4b68-b7a0-0e72679a7559 · outbound

This paper cites Strengths and weaknesses of weak-strong cluster prob- lems: A detailed overview of state-of-the-art classical heuristics versus quantum ap- proaches.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Strengths and weaknesses of weak-strong cluster prob- lems: A detailed overview of state-of-the-art classical heuristics versus quantum ap- proaches

Reference 13

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Observation e142ba23-5f5d-4165-ae57-8ce93c4cac3d · outbound

This paper cites Benchmark test of black-box optimization using d-wave quantumannealer.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Benchmark test of black-box optimization using d-wave quantumannealer

Reference 14

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Observation dd8cc60a-f69d-4e04-826a-47db745c43f6 · outbound

This paper cites Readiness of quantum optimization machines for industrial applications.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Readiness of quantum optimization machines for industrial applications

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 32cd3e68-4814-47b1-8e25-00415edf169a · outbound

This paper cites Embedding overhead scaling of optimization problems in quan- tum annealing.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Embedding overhead scaling of optimization problems in quan- tum annealing

Reference 16

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Observation 2fa3e482-f31a-4614-aecd-38d56f16a244 · outbound

This paper cites Best-case performance of quantum annealers on native spin-glass benchmarks: How chaos can affect success probabilities.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Best-case performance of quantum annealers on native spin-glass benchmarks: How chaos can affect success probabilities

Reference 17

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Observation 7bfc693f-8e19-4aaf-9e0c-94138f507c89 · outbound

This paper cites Temperature scaling law for quantum annealing optimizers.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Temperature scaling law for quantum annealing optimizers

Reference 18

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Observation d22eb4fb-d4e1-4161-8fe3-f04ff1b0f9ea · outbound

This paper cites Demonstration of a scaling advantage for a quantum annealer over simulated annealing.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Demonstration of a scaling advantage for a quantum annealer over simulated annealing

Reference 19

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Observation 05cf8927-2d18-4282-8662-6d8669041c6b · outbound

This paper cites Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets

Reference 20

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Observation 156ecad7-c768-48cd-9b6f-c8be64050942 · outbound

This paper cites Coherent quantum annealing in a programmable 2,000 qubit Ising chain.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Coherent quantum annealing in a programmable 2,000 qubit Ising chain

Reference 21

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Observation e2d13700-e3be-40e6-9d4b-4f640a4e089e · outbound

This paper cites Quantum critical dynamics in a 5,000-qubit programmable spin glass.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Quantum critical dynamics in a 5,000-qubit programmable spin glass

Reference 22

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Observation 43d48fab-32d9-4993-8aa2-ecd60112e32b · outbound

This paper cites Computational supremacy in quantum simulation.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Computational supremacy in quantum simulation

Reference 23

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Observation c96d5635-e101-41ec-bece-d88a606a2060 · outbound

This paper cites Garden opti- mization problems for benchmarking quantum annealers.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Garden opti- mization problems for benchmarking quantum annealers

Reference 24

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Observation f5451239-3926-4a06-990f-53ca487cec05 · outbound

This paper cites The Advantage System: Performance Update.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem The Advantage System: Performance Update

Reference 25

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Observation 27b16c4b-8ceb-439e-a74f-44a9176a351d · outbound

This paper cites Benchmarking d-wave quantum annealers: Spectral gap scaling of maximum cardinality matching problems.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Benchmarking d-wave quantum annealers: Spectral gap scaling of maximum cardinality matching problems

Reference 26

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Observation aec04c3b-bf0a-4952-83c1-35f46515f3e7 · outbound

This paper cites Benchmarking Advantage and D-Wave 2000Q quantum an- nealerswithexactcoverproblems.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Benchmarking Advantage and D-Wave 2000Q quantum an- nealerswithexactcoverproblems

Reference 27

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Observation 06edea7a-698a-45de-8dd0-ac366c605e66 · outbound

This paper cites 3-regular three-XORSAT planted solutions benchmark of classical and quantum heuristic optimizers.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem 3-regular three-XORSAT planted solutions benchmark of classical and quantum heuristic optimizers

Reference 28

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Observation fd79000f-3988-4bba-994a-b13ab54d99dd · outbound

This paper cites Exponentially biased ground-state sampling of quantum annealing machines with transverse-field driving hamiltonians.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Exponentially biased ground-state sampling of quantum annealing machines with transverse-field driving hamiltonians

Reference 29

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Observation 3a009edd-5c49-4df9-a601-dd269a1c5001 · outbound

This paper cites Fair sampling of ground- state configurations of binary optimization problems.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Fair sampling of ground- state configurations of binary optimization problems

Reference 30

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Observation 551046cc-7a0a-4d98-a7ad-975d1b9855ae · outbound

This paper cites Experimental investigation of performance differences between coherent Ising machines and a quantum annealer.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Experimental investigation of performance differences between coherent Ising machines and a quantum annealer

Reference 31

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Observation 1f68bca7-5264-4903-97ab-dd33295d345e · outbound

This paper cites Augmenting an electronic Ising machine to effectively solve boolean satisfiability.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Augmenting an electronic Ising machine to effectively solve boolean satisfiability

Reference 32

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9a618ef5-a49b-4a9e-909d-6cf6d7bb5d71 · outbound

This paper cites Increasing the Hardness of Posiform Planting Using Random QUBOs for Programmable Quantum Annealer Benchmarking.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Increasing the Hardness of Posiform Planting Using Random QUBOs for Programmable Quantum Annealer Benchmarking

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:49.953639Z digest=sha256:94926e1bd8f7f0d07d1425f02036f1bb0d56f3826a663796b10aaa9c5934f666

Observation 6b485142-a0a3-449f-b4cb-e17fc6a3238d · outbound

This paper cites Viewing vanilla quantum annealing through spin glasses.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Viewing vanilla quantum annealing through spin glasses

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:49.969884Z digest=sha256:32844e2c9bebbfba3da3bd2dd2da9b3a3472e85372834f25182aefb93ca94d93

Observation db03d2c3-5bf4-495c-b415-2e3b5bf0035f · outbound

This paper cites Improving Performance in Combinatorial Optimization Problems with Inequality Constraints: An Evaluation of the Unbalanced Penaliza- tion Method on D-Wave Advantage.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Improving Performance in Combinatorial Optimization Problems with Inequality Constraints: An Evaluation of the Unbalanced Penaliza- tion Method on D-Wave Advantage

Reference 35

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:49.977584Z digest=sha256:6606f7856474449f847207c1285c38fb0998b1a8bbf8b6a0fed4752108929388

Observation 0e1faf20-fd4e-414c-8dc9-ac6585e1e952 · outbound

This paper cites Machine learning at the energy and intensity frontiers of particle physics.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Machine learning at the energy and intensity frontiers of particle physics

Reference 36

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:49.986600Z digest=sha256:05a22204d497b524913a9358f28c666d7605cb842779fc066291e03d2197eacf

Observation 9946bb2d-b133-4557-b928-bdb15efd8fb0 · outbound

This paper cites Quantum adiabatic machine learning by zooming into a region of the energy surface.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Quantum adiabatic machine learning by zooming into a region of the energy surface

Reference 37

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:49.991995Z digest=sha256:318645adf03220e8a1361386e85ee7ae4ef12e850b55d33fd04bef2ec45e66dd

Observation 121c78d8-e2c0-436b-a970-afc288287cd5 · outbound

This paper cites Max-Cut benchmark dataset.Versionv0.0.4.Dec.2024.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Max-Cut benchmark dataset.Versionv0.0.4.Dec.2024

Reference 38

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malformed identifier
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:53:49.998844Z digest=sha256:a4e81d515eb3558e7a3c536096e36a833f389448d5fba01468a1a9ea71e00c28

Observation 01cf49b6-221c-4fdf-83db-4928dab32bff · outbound

This paper cites Reducibility among combinatorial problems.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Reducibility among combinatorial problems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T18:53:50.008080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:53:50.008080Z digest=sha256:06814da3c620d82a8644aff066778ce994686c10401e161fe14592c8dae592df

Observation 0e303777-9039-4812-9ff8-6bfaa9996d63 · outbound

This paper cites Anapplicationofcombinatorialoptimizationtostatistical physics and circuit layout design.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Anapplicationofcombinatorialoptimizationtostatistical physics and circuit layout design

Reference 40

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.013282Z digest=sha256:3a2cbb4e23a12fe1dcec0a2f0d81e48c893356232429ed827c4af74c87c88da7

Observation e6e673e5-df95-430e-9d29-63561a408bbd · outbound

This paper cites Calculating exact ground states of spin glasses: A polyhedral approach.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Calculating exact ground states of spin glasses: A polyhedral approach

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.018169Z digest=sha256:888b68fe24e18c2ff91732a8397dd3c840fd927e02f3c8bc250532d82a7899ad

Observation 0f5bfc81-35b1-4514-9122-2f28524e4731 · outbound

This paper cites Contributions to determining exact ground-states of Ising spin-glasses and to their physics.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Contributions to determining exact ground-states of Ising spin-glasses and to their physics

Reference 42

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.027635Z digest=sha256:df37c9fcbec831910c97d410d0fc17db99a4fe827c0a8507ee0a83b497858ec5

Observation 19021a61-bb3b-4dea-b39a-4dee5bd8d5d6 · outbound

This paper cites What works best when? A sys- tematic evaluation of heuristics for Max-Cut and QUBO.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem What works best when? A sys- tematic evaluation of heuristics for Max-Cut and QUBO

Reference 43

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.037638Z digest=sha256:f496085407302d35aef6da19e928999187f9557ab37d6e336a16da21f92794d5

Observation 33b1afd5-f1cb-492c-8cd1-8a5d9d5dd66b · outbound

This paper cites Quantum annealing versus digital computing: An experimen- tal comparison.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Quantum annealing versus digital computing: An experimen- tal comparison

Reference 44

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.043537Z digest=sha256:6bbcf1f023f032473c62148b22beb7ed1b00f6ecb94cb76b46ce2cf605e2d41f

Observation 4779f40d-f8a8-4c83-90ec-41bcade59f4a · outbound

This paper cites Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-11T18:53:50.528356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.070373Z digest=sha256:ac231b92268a75fdcf57b0f11497c6f4ee4afa54f16491971b7da20baf73559d

Observation fb2d52fe-4af6-4407-a7ec-8d4a3e8523a9 · outbound

This paper cites Optimal inapproximability results for MAX-CUT and other 2-variable CSPs?.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Optimal inapproximability results for MAX-CUT and other 2-variable CSPs?

Reference 46

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.080650Z digest=sha256:953b8d0ea62c72bd9bd6c09aca172bc95a094d9a87512f313049a0837da3a289

Observation d1be255e-cf51-4674-ad4c-4ee073253893 · outbound

This paper cites Experimentsinquadratic 0–1 programming.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Experimentsinquadratic 0–1 programming

Reference 47

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raw_fallback, observed 2026-08-11T18:53:50.493741Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.089116Z digest=sha256:266d6c7a69ff0391022a24cb236800eca2fc81c49594c477c86293afc59b48dc

Observation d0985c2b-a747-42c3-bc56-fd4eb089d6dd · outbound

This paper cites Optimization by sim- ulated annealing.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Optimization by sim- ulated annealing

Reference 48

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.095242Z digest=sha256:8d9ec4a1b7bcc891a4da1bdd59ac90eff309d33dc1b7c561a9edd7b50ac3361c

Observation 62d7b432-e6ff-46c6-9bbf-7e852eaa68b0 · outbound

This paper cites Thermodynamicalapproachtothetravelingsalesmanproblem:An efficient simulation algorithm.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Thermodynamicalapproachtothetravelingsalesmanproblem:An efficient simulation algorithm

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-11T18:53:50.453209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.106133Z digest=sha256:f860d2ade77b46b3394ce30380ea768381eac328abc6db6e7aa1a56b133a6c90

Observation 526c73ad-4d62-4fe2-9176-18891a7c57bb · outbound

This paper cites Biq Mac Library – A collection of Max-Cut and quadratic 0-1 programming instances of medium size.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem Biq Mac Library – A collection of Max-Cut and quadratic 0-1 programming instances of medium size

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-11T18:53:50.431070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.113089Z digest=sha256:e2bb5852086a73d60293b8e7952a2df8adb606c2e1314c29c303aba6ecae15a3

Observation 85e7afcf-e139-40e6-ac39-8718ca21e427 · outbound

This paper cites BiqMac Library.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem BiqMac Library

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-11T18:53:50.409796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.119759Z digest=sha256:03d3372f3572e3f4598763cfba8d43ec32bed04498834a2a5e4dbaf852821bc4

Observation 7981b26c-c32d-4e89-8c51-694a219fccb0 · outbound

This paper cites A spectral bundle method for semidefinite programming.

Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem A spectral bundle method for semidefinite programming

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-11T18:53:50.391180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:53:50.134562Z digest=sha256:1057c617b39da856b06c217835208cbb1966eb6a079e23ce834dc2fe9aeb8de9

Pith citing papers

Observation 2f60b953-5c1f-4c7a-8f55-a1111627ed3d · inbound

Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines cites this paper.

Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem

Reference 56

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no resolver link, observed 2026-08-12T13:13:17.743331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:13:17.743331Z digest=sha256:6a8138ad539a4d4624bc195f87e919e3e5b7b74d72104c0fac90711ec41c6b76

Observation 92822098-5236-4cef-b8ae-2d24fa668ad4 · inbound

Exact Spin Elimination in Ising Hamiltonians and Energy-Based Machine Learning cites this paper.

Exact Spin Elimination in Ising Hamiltonians and Energy-Based Machine Learning Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem

Reference 59

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unresolved
no resolver link, observed 2026-08-15T22:43:49.864756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:43:49.864756Z digest=sha256:7e79821d60690db5ac9a9ddb51a1ffee2b5186d10f6873b422e51439d27f2bb6

Observation 896a9d50-d899-430f-9c29-290b33c1b1d3 · inbound

Quantum-inspired dynamical models on quantum and classical annealers cites this paper.

Quantum-inspired dynamical models on quantum and classical annealers Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem

Reference 42

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verified exact
arxiv_id, observed 2026-07-07T02:19:36.884832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T19:31:41.381489Z digest=sha256:3fc3d7225e1c0f0e9d62f1ef42596c36c61ea2d3aad213ed709b815ef77edf5f

Observation 1969a293-985d-4b0d-a7fa-894d7411d115 · inbound

Cosm: Collective Switched Motion for Fast and Accurate Sparse Ising Optimization cites this paper.

Cosm: Collective Switched Motion for Fast and Accurate Sparse Ising Optimization Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem

Reference 14

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:44:00.781847Z digest=sha256:645659815ac6fad5cc768916e2b3e8ed6f61eb194476993962f8147fe7b05367