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Paper Citation Record · LEDGER

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization

As of 22 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 0 inbound Pith citation observations for arXiv:2412.04398.

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

pith.paper-citation-record.v1
2412.04398 v3

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:30:06.043500Z

measured 86 of 86 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

86 of 86 outbound references displayed

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External citation measurements

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Outbound references

Observation 741307d4-c5bb-46ce-8401-148e7cdbee59 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 1

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This paper cites Thus, one needs to find an equiva- lent encoding as a QUBO problem to solve 3-SAT on such hardware.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Thus, one needs to find an equiva- lent encoding as a QUBO problem to solve 3-SAT on such hardware

Reference 2

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This paper cites In principle, it is desirable forJ to be as large as possible in order to speed up the absolute computing time.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization In principle, it is desirable forJ to be as large as possible in order to speed up the absolute computing time

Reference 3

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 4

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Observation 8a5f34b9-668a-4ba5-9e09-56a273eb335b · outbound

This paper cites Typical gap profiles of PUBO and QUBO formulations of randomly generated 3-SAT instances.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Typical gap profiles of PUBO and QUBO formulations of randomly generated 3-SAT instances

Reference 5

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Observation 35dd532c-829f-4a2a-a393-fc7a18a5e541 · outbound

This paper cites Finding an optimal QUBO reduction for a given PUBO problem is in generalNP-hard.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Finding an optimal QUBO reduction for a given PUBO problem is in generalNP-hard

Reference 6

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 7

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Observation 6aa35bd9-aff6-452d-82cd-ffa80407c9cd · outbound

This paper cites Figure 2 investigates the correlations between these two quantities for10 000random instances generated via toughSAT with N = 6 and M = round(4.24N) = 25.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Figure 2 investigates the correlations between these two quantities for10 000random instances generated via toughSAT with N = 6 and M = round(4.24N) = 25

Reference 8

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 9

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This paper cites In this section, we in- vestigate how varying this strength affects the minimum energy gap.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization In this section, we in- vestigate how varying this strength affects the minimum energy gap

Reference 10

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Observation 4a92af42-cc9b-4eb7-b050-3d8cf1de8715 · outbound

This paper cites However, hx is actually a free parameter that can be tuned to optimize the annealing schedule.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization However, hx is actually a free parameter that can be tuned to optimize the annealing schedule

Reference 11

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Observation 8e504656-2acb-4b70-bf17-0c6027a46c67 · outbound

This paper cites (b) Each CNOT gate can be further decomposed into one RZZ gate of fixed angle and multiple single-qubit rotations.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization (b) Each CNOT gate can be further decomposed into one RZZ gate of fixed angle and multiple single-qubit rotations

Reference 12

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 13

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 14

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This paper cites Martoňák, G.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Martoňák, G

Reference 15

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This paper cites Hauke, H.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Hauke, H

Reference 16

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Observation 935dfee0-33bf-4a05-a503-3862b8c5d903 · outbound

This paper cites Rajak, S.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Rajak, S

Reference 17

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Observation d5e745ad-d629-4f93-8b7c-baa71511cdcc · outbound

This paper cites Yarkoni, E.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Yarkoni, E

Reference 18

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

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Observation eb6f93f1-8ab7-40cb-9cdf-8b0823e3f938 · outbound

This paper cites Micheletti, P.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Micheletti, P

Reference 21

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Observation 247e0fee-ec22-4cee-a0e0-7f1534c4faee · outbound

This paper cites Slongo, P.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Slongo, P

Reference 22

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This paper cites Outeiral, G.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Outeiral, G

Reference 23

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Observation 854a2e8c-64f3-40f8-b00d-cf23cc84fe56 · outbound

This paper cites Polynomial unconstrained binary optimisation inspired by optical simulation.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Polynomial unconstrained binary optimisation inspired by optical simulation

Reference 24

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This paper cites Polynomial Reduction Methods and their Impact on QAOA Circuits.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Polynomial Reduction Methods and their Impact on QAOA Circuits

Reference 25

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

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This paper cites Babbush, B.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Babbush, B

Reference 27

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Stein, F

Reference 28

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Hsieh, R

Reference 29

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Glover, G

Reference 31

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 32

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Jansen, M.-B

Reference 33

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 34

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Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 35

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This paper cites Cheung, P.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Cheung, P

Reference 36

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Observation d5158142-d96a-4bd8-b8fa-4c4f87f7f0f2 · outbound

This paper cites Čepait˙ e, A.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Čepait˙ e, A

Reference 37

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source=pdf_text observed=2026-08-11T21:30:05.865375Z digest=sha256:1504256ee0ad0627f9c183f4a84a8465c6103bc0150459ef4ee54520a2f3983e

Observation a29733fc-fefd-4e98-a14b-cd50d4fab8d6 · outbound

This paper cites Tighter Lower Bounds on Quantum Annealing Times.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Tighter Lower Bounds on Quantum Annealing Times

Reference 38

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local_arxiv, observed 2026-08-11T21:30:06.406428Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.868689Z digest=sha256:581fb56904f82aecd196e52d0becf02797c83929aba9fccd7ee90ab4240778f8

Observation 4f9154fe-588e-4c03-afac-245576d59752 · outbound

This paper cites Bottarelli, M.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Bottarelli, M

Reference 39

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raw_fallback, observed 2026-08-11T21:30:06.387767Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.872244Z digest=sha256:92eb467f1f28dc80d6675ce955bc43038b2c8c0a609e1f8d8c4763a1c12e5bf2

Observation 3aac2c36-d167-49ff-b275-f4a7d6866390 · outbound

This paper cites Altshuler, H.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Altshuler, H

Reference 40

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raw_fallback, observed 2026-08-11T21:30:06.868565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.876035Z digest=sha256:2bfeb685ce6ad53967237a6dc2a1ef9fc39b2b6a8dc36c20aeac87c29d72ebdb

Observation a11bde3b-d57c-45b4-8913-0ce42e1bc554 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization A Quantum Approximate Optimization Algorithm

Reference 41

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no resolver link, observed 2026-08-11T21:30:05.879694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.879694Z digest=sha256:b87381f9f1b448b0da9bfd840e3055e48bc6c9b0b89feb624127c4aa2ed03f8f

Observation f58182e4-b236-4a76-a90c-5b2cb78ca760 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 42

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raw_fallback, observed 2026-08-11T21:30:06.858313Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.884070Z digest=sha256:1dd3a77c98dcb452318dcd195a3487d5d2455713c46f003a2ffacee3d12fc139

Observation c4e51f48-0fd4-43bc-aeb3-0703853bbe83 · outbound

This paper cites Blanes, F.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Blanes, F

Reference 43

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raw_fallback, observed 2026-08-11T21:30:06.848073Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.888287Z digest=sha256:d9c531c83be9a1e8a63dd885d89b03438a3c8b10386d80085dd45681cf86d947

Observation fefb0d25-053d-4a76-9112-387b88103640 · outbound

This paper cites Boros and P.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Boros and P

Reference 44

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raw_fallback, observed 2026-08-11T21:30:06.838164Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.892066Z digest=sha256:df12a7864feeef4491930d154bd61ac2f13ede5d4a6e25713c15291cd5c8acdf

Observation e5fec0df-38f6-4d27-92c0-b4ffbf6655f8 · outbound

This paper cites Alleviating the quantum Big-$M$ problem.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Alleviating the quantum Big-$M$ problem

Reference 45

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no resolver link, observed 2026-08-11T21:30:05.895411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.895411Z digest=sha256:737257ced4e26f8cb8e4f23a0d878cb5a3fe5031b5e46b497b7e0e262d8acdf9

Observation ed248d76-1cac-4918-8dcc-03ecffde9205 · outbound

This paper cites Aspvall, M.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Aspvall, M

Reference 46

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.828414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.899128Z digest=sha256:9f683f0bcfeab437fc70622bc6787ef39f8f430031d07132b05b2751d1f4673b

Observation 4d3c9a6a-cd18-4777-9fda-10224ebff3f4 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-11T21:30:05.902514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.902514Z digest=sha256:e68315ee1a9e407cbefced9bc8187230a4190be2428e13836ef25bb1b708cb86

Observation c9ba4f88-a099-4648-acb8-716a7df054ea · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 48

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unresolved
raw_fallback, observed 2026-08-11T21:30:06.813980Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.906478Z digest=sha256:6202a8459c4b6c21019180f481e94f44b6cc79c776006e94b77d03ca3fb04abc

Observation 1e532db4-fc4f-4849-8eec-5e72afdc32ca · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 49

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raw_fallback, observed 2026-08-11T21:30:06.804456Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.910564Z digest=sha256:d984fab0d8c6af62d1b5555d8997d5a2faeb74fa75daaaa26f1ed9c7faf7918d

Observation c7fef985-af8e-4e1e-ad2b-a51c5b6acdeb · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 50

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unresolved
raw_fallback, observed 2026-08-11T21:30:06.795330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.913885Z digest=sha256:aab3b313525b7c72a7b63fc2352e7d90817d2dba26c738a1e15686a823b952b3

Observation e9b00876-1ee0-4734-9fbf-9c46a2aebdf7 · outbound

This paper cites Albash and D.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Albash and D

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.785834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.917143Z digest=sha256:2cb2793463b27f2feaa9d781df90ebde076bb06b303dde31f80da636a43d8b87

Observation 6c8def43-49a2-4bc1-b6d1-61cc841565a1 · outbound

This paper cites Willsch, M.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Willsch, M

Reference 52

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raw_fallback, observed 2026-08-11T21:30:06.775896Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.921190Z digest=sha256:2e100be086657621652a7b6be745c2116aa5e86b4621a366feaeec73dea5c799

Observation 89918064-ffec-46d1-ab35-a30d82c23c57 · outbound

This paper cites Bernaschi, I.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Bernaschi, I

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.766273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.924431Z digest=sha256:1e8993cb69f8a394a3e92ea84d562da6c59bf478a5cceb4acb364bda4d1baeee

Observation a9937ca4-5393-41c8-bf28-09376ec8c675 · outbound

This paper cites Mézard, G.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Mézard, G

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.758054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.927726Z digest=sha256:d4821bbb7609f2f15d8c587effea0cdc4d7fc9dd9a29549826fdb64cd8944243

Observation e9ff00b9-6b5f-4844-8fd8-61b7b7b22023 · outbound

This paper cites Žnidarič, Scaling of the running time of the quantum adiabatic algorithm for propositional satisfiability, Phys.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Žnidarič, Scaling of the running time of the quantum adiabatic algorithm for propositional satisfiability, Phys

Reference 55

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raw_fallback, observed 2026-08-11T21:30:06.749366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.931511Z digest=sha256:dfc217199648ff5534d37e9b69cd8b3a561df4e049d8c80304a3ae9f71c9cc9b

Observation 765f01bf-21d9-472a-af3b-240b48ed2ee0 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 56

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raw_fallback, observed 2026-08-11T21:30:06.739170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.934732Z digest=sha256:b20fd9af263316b701713c081c9906fa93aea7b2a9e46461fa2143fb9cd186f8

Observation 50e32107-f797-42a5-b149-21c22daa8706 · outbound

This paper cites Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Efficient QUBO transformation for Higher Degree Pseudo Boolean Functions

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:30:06.289138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.937822Z digest=sha256:3cbf74cba60d4893f1f1fb4d5434dbe8652b44593c262938e38afea8f0001a85

Observation b69bf974-cdca-4587-97a3-10f1180e90f0 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 58

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unresolved
raw_fallback, observed 2026-08-11T21:30:06.727765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.941775Z digest=sha256:1e08e8e4e95fd4281e1f13ec8985754bbe7d840d250439c698cd120d6a9f33b7

Observation 14d7a344-dde4-4066-86fa-3046fdc852e8 · outbound

This paper cites Bose, Exponential speed-up of quantum annealing via n-local catalysts (2024), arXiv:2409.13029 [quant-ph].

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Bose, Exponential speed-up of quantum annealing via n-local catalysts (2024), arXiv:2409.13029 [quant-ph]

Reference 59

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no resolver link, observed 2026-08-11T21:30:05.945178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.945178Z digest=sha256:a4efebaca26b4f8e804b60db01f10039dc53d9a246067206e943da7ef0bc13b2

Observation d3a3e1f0-71d0-4e3c-b5ad-593985c93c96 · outbound

This paper cites Bermudez, D.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Bermudez, D

Reference 60

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.716813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.949189Z digest=sha256:054373d8bebf4f3d1783efb797898e2e5d60729232e683a8e2224d8922d427de

Observation 551ceccc-e06e-491f-9871-ea8042ce1b78 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 61

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raw_fallback, observed 2026-08-11T21:30:06.706037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.952545Z digest=sha256:a370ae7eef4cc378e21bab0a8625b42c876678336d1c0cf83a386e017c23e67f

Observation 8db599f8-ab7d-40b0-98fc-5630fc21c1e1 · outbound

This paper cites Andrade, Z.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Andrade, Z

Reference 62

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raw_fallback, observed 2026-08-11T21:30:06.696233Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.956111Z digest=sha256:48d2dbfe209286dcfb40e4e41da6ceba44f416e677a81e5397d9bc5546205b76

Observation d2a79f61-4453-44d1-a6a6-79eb93356b65 · outbound

This paper cites Nagies, K.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Nagies, K

Reference 63

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raw_fallback, observed 2026-08-11T21:30:06.686443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.959266Z digest=sha256:1afbe7604548331e172bfb93809af71365a770783804a4ea6b754cb683a10be2

Observation 9a23f1f4-6baa-49c3-89c8-7a5652eeadf9 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 64

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unresolved
raw_fallback, observed 2026-08-11T21:30:06.676145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.962411Z digest=sha256:83a7e29ecd935eeb5eb1a44129f7b3714860dd7893a26d7a4f010258469f434c

Observation 0c3121ea-a81d-42af-9952-13bbfab64727 · outbound

This paper cites Decker, C.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Decker, C

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.666068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.966402Z digest=sha256:16fee686f1cdb6ef239fd5463f2a457526b6cf616a43b74fd74ae2e382d2a302

Observation 8c72ffa0-2286-4db1-a0c8-aa108e2f3e6e · outbound

This paper cites Chancellor, S.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Chancellor, S

Reference 66

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verified exact
doi, observed 2026-08-11T21:30:06.097215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.969945Z digest=sha256:091b0108ffff396488d70c4b7af579f76a5d666c7dd49a7cac4634f6e837365d

Observation 42b3545b-89e5-4a43-859d-e3db13cf3618 · outbound

This paper cites Rakyta and Z.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Rakyta and Z

Reference 67

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raw_fallback, observed 2026-08-11T21:30:06.655463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.973118Z digest=sha256:f569464af75f7caf20648391549ea3f44f291972d2bef300e2319ce74a44ade8

Observation 5044fa99-8832-457b-a7b8-04ac79d53dcb · outbound

This paper cites Madden and A.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Madden and A

Reference 68

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verified exact
doi, observed 2026-08-11T21:30:06.084849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.976880Z digest=sha256:be80c9195310b1e176a654c5c3bc73dfd47cf91dc896e615797440ea8031706f

Observation 0204266b-1415-48fb-a7c4-68ca1e068265 · outbound

This paper cites Orús and J.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Orús and J

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.645165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.980431Z digest=sha256:f89c394a57928bfa21f4b845da24385778b6f2f957b39f606d7cb5b52dd1d0ec

Observation 8a9fdb74-673f-4187-a2f9-525ea5609141 · outbound

This paper cites Lanting, A.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Lanting, A

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.633713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.984458Z digest=sha256:34e221e6ed88475c099272e020fde13cd4be049ddeddc5b37e46432bdccff9a0

Observation 18a462f3-76be-49cd-bee3-6b506e67e19f · outbound

This paper cites Hauke, L.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Hauke, L

Reference 71

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unresolved
no resolver link, observed 2026-08-11T21:30:05.988582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.988582Z digest=sha256:a94feb9107bbce7a046d61875eb0397cfd193edcd170b153632cff7d62b36ab5

Observation 32366fe4-7714-47cc-893d-8f46708eca9a · outbound

This paper cites Genuine Multipartite Entanglement in Quantum Optimization.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Genuine Multipartite Entanglement in Quantum Optimization

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:30:06.126657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.992776Z digest=sha256:51a175eee814e8800f33173f69ecc9ffd7605eda3b5c1cacfb49f660561dbd67

Observation 09c1bb7c-31b1-49d5-9e8e-5f289da287f2 · outbound

This paper cites Lipkin, N.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Lipkin, N

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.623067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:05.997277Z digest=sha256:0d6f068965dd40acb32a71a6aaece38d32cd631cee802aa8e0a7d477cf921494

Observation 22a874ff-599d-4a00-80e1-190c9ce936dd · outbound

This paper cites Meshkov, A.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Meshkov, A

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.613630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:06.001189Z digest=sha256:a99f6ffa8415c7da9f89bc0753bda7c4e8ccb2e496057f04c4aa29b8ad57ddac

Observation 004c7b10-770e-4813-a59a-d548002220ad · outbound

This paper cites Glick, H.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Glick, H

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.604315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:06.004548Z digest=sha256:a491003ddd10c88f438ec93ea379afaa9b1cb0755d750277e657906e6d3b52a6

Observation 8cdb98c6-bfd9-4d85-9d7f-d66f287fb83d · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 76

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f418f75f-70cb-4d1d-b2ac-b8f6a6f12833 · outbound

This paper cites Ohzeki, Quantum Monte Carlo simulation of a par- ticular class of non-stoquastic Hamiltonians in quantum annealing, Sci.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Ohzeki, Quantum Monte Carlo simulation of a par- ticular class of non-stoquastic Hamiltonians in quantum annealing, Sci

Reference 77

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b5e4ebe-8c2c-4c13-9c6f-10328b69d8b5 · outbound

This paper cites Seki and H.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Seki and H

Reference 78

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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 2026-08-22T06:32:14.747728+00:00.

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Observation 3dab9d0e-dd5b-4bf4-bcbf-613a386d400b · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 79

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:06.018993Z digest=sha256:a050bb9c0353a2d9eddcb3878d8069ee4dc148d83e8df8099af0f91b5877c0cd

Observation c0dc8823-5663-4ab7-b6de-5f77be5f477c · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 80

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8dbf14aa-0a12-4229-b4de-61d80463af69 · outbound

This paper cites Lucas, Ising formulations of many NP problems, Front.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Lucas, Ising formulations of many NP problems, Front

Reference 81

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:06.025746Z digest=sha256:a473159dd428aa93d6459c6e756c9a9f68a91289947c5fe7f9ed65d4f8b73174

Observation 897484ae-c84b-4a93-ac33-dce45bedb2c4 · outbound

This paper cites Dominguez, J.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Dominguez, J

Reference 82

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.534193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:06.029046Z digest=sha256:8766b1aa735bdb5448be8951ef0e8bffd76df21c6e1fe4370e6d97612eb1faa2

Observation 0911d5d3-4680-4985-abd4-f87b00746646 · outbound

This paper cites an unresolved cited work.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:06.523092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6cdd7b57-e2dc-481e-9eca-e3b57ddbbb05 · outbound

This paper cites Glos, and J.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Glos, and J

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.512391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:30:06.036340Z digest=sha256:f1d42add021701d46dbd41a06927e2aaf1deec396b9afd2a20b0862ea6165169

Observation 560addbc-64dc-4b9f-81cb-ed4d1e60b377 · outbound

This paper cites Adiabatic Quantum Algorithms for the NP-Complete Maximum-Weight Independent Set, Exact Cover and 3SAT Problems.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Adiabatic Quantum Algorithms for the NP-Complete Maximum-Weight Independent Set, Exact Cover and 3SAT Problems

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:06.040006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:06.040006Z digest=sha256:ac09784dd6a92a168e0f8d5bbecffe2b6b27ee10f1bdc8fff6a5a81a57e4485a

Observation 3d91d6c6-53b7-4e62-bba4-192510c01732 · outbound

This paper cites Herrman, L.

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization Herrman, L

Reference 86

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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 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.