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Paper Citation Record · LEDGER

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA

As of 12 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 1 inbound Pith citation observation for arXiv:2602.21689.

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

pith.paper-citation-record.v1
2602.21689 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:01:18.401282Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T12:29:52.721186Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:37:04.282118Z

Reference resolution

83 of 83 outbound references displayed

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  • verified fuzzy0
  • unresolved81
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation a664f197-5a72-44ef-b38b-0fdb127aaefc · outbound

This paper cites The objective is typically encoded in a cost HamiltonianH C, which is diagonal in the computational basis.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA The objective is typically encoded in a cost HamiltonianH C, which is diagonal in the computational basis

Reference 1

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source=pdf_text observed=2026-08-02T21:01:09.744511Z digest=sha256:c6d965e38822c21b111b262208569eec54d94112d091f5897fcddec56ae2258a

Observation 9b7ce61f-e26b-4378-b862-34a92cfdc25c · outbound

This paper cites As shown in Fig.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA As shown in Fig

Reference 2

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source=pdf_text observed=2026-08-02T21:01:09.830733Z digest=sha256:64fe6e67652f4cb3107477499f78767759ef16fc8066a4ff11d79b3882c58e0f

Observation 842b758b-ebf2-43cf-a545-a513d8c6fa6c · outbound

This paper cites hotspot” nodes with high degree centrality (Fig. 9(a)). By “freezing.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA hotspot” nodes with high degree centrality (Fig. 9(a)). By “freezing

Reference 3

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Observation e9120e5b-6940-41b6-b991-d0d6fafe98f2 · outbound

This paper cites Parisi, Infinite number of order parameters for spin- glasses, Physical Review Letters43, 1754 (1979).

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Parisi, Infinite number of order parameters for spin- glasses, Physical Review Letters43, 1754 (1979)

Reference 4

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source=pdf_text observed=2026-08-02T21:01:11.708864Z digest=sha256:2d1f1256f456a7f6a9cc4c57bf337a8d0ae8007726828207d910b2235a49650b

Observation 49c62751-d754-4c3a-9ca1-b874e1bcd04f · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 5

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Observation cc4bfb82-1bad-46f2-a52a-51d0b99c4291 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-02T21:01:10.354865Z digest=sha256:94702902c5da7d3d5264c18be8332ff338b41f12d009eba66b936b879ddd8170

Observation 6ee4998a-cdd0-4a07-acc1-5fcd4845b89c · outbound

This paper cites The bound simplifies to: Deviation≤2 X i∈N(k) |Jki|,(B3) whereN(k)are the neighbors of qubitk.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA The bound simplifies to: Deviation≤2 X i∈N(k) |Jki|,(B3) whereN(k)are the neighbors of qubitk

Reference 7

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Observation 3355bb75-731c-4637-a022-00b2cff0dc84 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T21:01:10.580050Z digest=sha256:8cb7d71e859c48e20f6fbe1e83f68d5e6cc987eeace5ed370ab8d5bfa30b31ff

Observation 7094c8ca-801b-4fcc-b532-5fa0c66bcb5e · outbound

This paper cites This justifies theO(1)transfer of optimal parameters(γ ∗, β∗).

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA This justifies theO(1)transfer of optimal parameters(γ ∗, β∗)

Reference 9

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Observation 12ba61dd-0920-4eb2-9717-f571af4c7420 · outbound

This paper cites The experiments were conducted usinganoisemodelderivedfromtheFakeBrisbaneback- end to simulate realistic NISQ conditions [55].

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA The experiments were conducted usinganoisemodelderivedfromtheFakeBrisbaneback- end to simulate realistic NISQ conditions [55]

Reference 10

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source=pdf_text observed=2026-08-02T21:01:10.746279Z digest=sha256:f1985734e5f26b89dbcc01a126df03c6acf67b5a3dbf6dd55c4c567c074fb5c4

Observation b5208f50-1324-4a3f-8fff-153f22815adf · outbound

This paper cites Existing methods treat these as2m unrelated optimization problems, requiring2 m independent train- ing loops.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Existing methods treat these as2m unrelated optimization problems, requiring2 m independent train- ing loops

Reference 11

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Observation fc630ea8-9ee6-4596-a898-02a154719109 · outbound

This paper cites Shortcut.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Shortcut

Reference 12

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Observation 25019d8e-e58f-4623-9bf6-7112e77f6a30 · outbound

This paper cites noise floor.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA noise floor

Reference 13

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source=pdf_text observed=2026-08-02T21:01:10.938697Z digest=sha256:c760247fc5ce397ff92418d74771aedfb96eb723835ae7288d2455f7e2a1d132

Observation c339c97c-0810-4c7f-a402-8f6e3248cd32 · outbound

This paper cites Instead, the increased gate count and circuitdepthintroduceadditionalnoisechannelsthatcan degrade solution quality and hinder convergence.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Instead, the increased gate count and circuitdepthintroduceadditionalnoisechannelsthatcan degrade solution quality and hinder convergence

Reference 14

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Observation eada92e3-2eb7-4009-b400-90aa1a0f876e · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 15

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Observation d5432d5b-7535-4ed6-8437-7555a0a2264e · outbound

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Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 16

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Observation 5ee274d4-294c-44e2-bb67-cee013c6be9e · outbound

This paper cites Kandala, A.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Kandala, A

Reference 17

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Observation 3c855b39-8ebf-43ea-bbbf-c05fb1708da7 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 18

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Observation 646bbce0-ce3b-429c-a26a-f593f9b26142 · outbound

This paper cites Ayanzadeh, N.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Ayanzadeh, N

Reference 19

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Observation 81b66f8f-d60a-4c10-95e2-e69fd82df5a5 · outbound

This paper cites Kirkpatrick, C.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Kirkpatrick, C

Reference 20

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Observation d288790c-9b1a-40ce-9cd8-e383ca80926c · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-02T21:01:11.949739Z digest=sha256:01d93fea0300b8ad58e77540481f331f86e8d1dd2ded075ae9cf79289f05441a

Observation bef919ea-ccab-4500-b2d7-7c17ef11639c · outbound

This paper cites Bengio, Identifying and attacking the saddle 20 point problem in high-dimensional non-convex optimiza- tion, Advances in neural information processing systems 27(2014).

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Bengio, Identifying and attacking the saddle 20 point problem in high-dimensional non-convex optimiza- tion, Advances in neural information processing systems 27(2014)

Reference 22

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Observation 4711d0f0-dd63-4f6e-a45f-6db4b014c16e · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 23

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Observation 53574541-8e94-44e4-9c44-713dc37bddd4 · outbound

This paper cites Larocca, N.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Larocca, N

Reference 24

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Observation cb947e0d-f7b7-4dd1-b8bd-1897dfcdb538 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 25

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Observation 2bdad843-8fd8-4ee0-adde-ae7c1abb517d · outbound

This paper cites Galda, X.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Galda, X

Reference 26

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Observation 8dfbbc81-55cd-4285-b957-1b3481af4a37 · outbound

This paper cites Shaydulin, P.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Shaydulin, P

Reference 27

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Observation 1eb5f5c3-890a-4899-b0a9-875e98e40ed5 · outbound

This paper cites Wurtz and D.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Wurtz and D

Reference 28

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Observation d8cb61fc-d8fd-45b5-9bc3-113e37a8a0c0 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA A Quantum Approximate Optimization Algorithm

Reference 29

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Observation f0a31b41-0511-4f8f-a049-e32b1c5e2190 · outbound

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Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 30

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Observation 88a6a8c1-82a2-4cfc-92f0-1f74b41c153c · outbound

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Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-02T21:01:12.928258Z digest=sha256:98d4c634ca3f3b2c2bbe043dac84e7ceb470e0ed08a1b952295f4d170a23ee7a

Observation 749138ab-774b-48d6-accb-7deafb8c421f · outbound

This paper cites Preskill, Quantum Computing in the NISQ era and beyond, Quantum2, 79 (2018).

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Preskill, Quantum Computing in the NISQ era and beyond, Quantum2, 79 (2018)

Reference 32

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Observation 8aca7a55-6c56-46c7-82c7-47690a8a40cf · outbound

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Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 33

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Observation b59cf083-cc6f-42b0-9f09-9ebadfa9c63f · outbound

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Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 34

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Observation 6f13bf11-9c55-413e-b845-084da0af8898 · outbound

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Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 35

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Observation fa259ec3-44b8-4a38-a785-37efb65fb64a · outbound

This paper cites Mézard, G.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Mézard, G

Reference 36

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Observation 2c3ef5fc-9e08-46d9-b845-120d0cba2899 · outbound

This paper cites Carmona and Y.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Carmona and Y

Reference 37

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source=pdf_text observed=2026-08-02T21:01:13.577966Z digest=sha256:75ecc246ac0be3e3a80e6f7db787271474839cc4a462069e8cc7294f63ea1cff

Observation 098f742c-37af-4d59-80a4-3b9befe02901 · outbound

This paper cites For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances

Reference 38

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Observation b13052a9-fe12-4140-bd0f-14db43a3fd35 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-02T21:01:13.757777Z digest=sha256:3527ceb05714aff75c783002f5831cd90d431c15e4bc47793cd7905f1a6313c6

Observation 62aa725e-f014-475a-8fd9-c7310ce7ac1f · outbound

This paper cites Bravyi, M.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Bravyi, M

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source=pdf_text observed=2026-08-02T21:01:13.847189Z digest=sha256:3d360ff51f1a9f4dd7a74e89606080988b32cc469fc9c92647853278ac4ac8c8

Observation a44f9f78-beb5-4cfe-8aee-c2de1e6a1ef3 · outbound

This paper cites The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case

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source=pdf_text observed=2026-08-02T21:01:13.962153Z digest=sha256:677fb723b33400b5cf55fc477754f9fcaa5433c39c7e8bd40297d1f7ad4f96c4

Observation 8c937f7d-ae9d-4c6c-8644-3373d10ab893 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-02T21:01:14.048959Z digest=sha256:4649c64178e89471713c8fbc92674fa108a83efbe4e390ceaa4f5d47e2cc7cc9

Observation 58b2a38e-31fb-4daa-b9c3-55b9bdce18ab · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-02T21:01:14.139647Z digest=sha256:be4fff200a42c3dd3c5c33dabff57932a321809a8a802f6d1f83374a5c21b83a

Observation 2f0e4508-b62d-4b50-b9c7-8e1cf3ecbf1f · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-02T21:01:14.247468Z digest=sha256:c37b51a1c8b48a656cbbc4ad6112d0b3276acacdca4b8acfbc2cbca5dfd0c017

Observation e9c2d9c0-6d9b-490a-901c-501202ac98df · outbound

This paper cites Clauset, E.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Clauset, E

Reference 45

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source=pdf_text observed=2026-08-02T21:01:14.337834Z digest=sha256:e09cdf05fde908458938c19dea3d64be92ae9ce3628a75017bcc96d865987dfb

Observation 4bb5b9ab-bb2a-49e7-931b-765451978e20 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-02T21:01:14.438994Z digest=sha256:b080228c08bf90e9af87e3ff5f0252ea1fe52a066af510ca30f32f3f36c985b5

Observation cca3a966-d66d-47be-a1da-9ebe874f5ab1 · outbound

This paper cites House, J.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA House, J

Reference 47

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source=pdf_text observed=2026-08-02T21:01:14.531977Z digest=sha256:8f7568b33129bbdc1152974832308a94dd9c14ef9b440143498fee745ab76137

Observation 2078d6d7-b5dc-4d7d-8636-f315d02797c5 · outbound

This paper cites Mislove, M.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Mislove, M

Reference 48

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source=pdf_text observed=2026-08-02T21:01:14.615612Z digest=sha256:2e73d7d27cfa65a3b9f028a83eb8cecdd96de2ce981cf84a407d569f227a322c

Observation 90103d9c-de32-41f2-ad11-f89cea28e0bc · outbound

This paper cites Pastor-Satorras, C.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Pastor-Satorras, C

Reference 49

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source=pdf_text observed=2026-08-02T21:01:14.703771Z digest=sha256:b0555b916dbfff2bd6e5e76010f96c67fc5ee463d601543590be58a0b8ad5014

Observation 8673dba7-a409-44ac-a18a-363d328c4641 · outbound

This paper cites Meghanathan, Complex network analysis of the con- tiguous united states graph., Comput.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Meghanathan, Complex network analysis of the con- tiguous united states graph., Comput

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source=pdf_text observed=2026-08-02T21:01:14.785684Z digest=sha256:c0d7f253f50e7cea20ee8781cf68423fd2d4e99af955578efbc4acfa185e0cc1

Observation f2b13ab9-fe58-49bb-a9df-de64e26e81ac · outbound

This paper cites Gamermann, J.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Gamermann, J

Reference 51

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source=pdf_text observed=2026-08-02T21:01:14.863426Z digest=sha256:e87fe3d0d891c96b95bc42ce1624ce16c9050215de46d696d944561e51140dea

Observation fa8e5102-dc4a-4975-adef-da3453a1417d · outbound

This paper cites Barabási and R.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Barabási and R

Reference 52

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source=pdf_text observed=2026-08-02T21:01:14.931050Z digest=sha256:e9fc45f6c5d402f6353b6eb366ab3a87e44da4c58dab89403170e7672a817feb

Observation bffad46c-b645-4694-ac9e-52a4f059e56e · outbound

This paper cites Basso, E.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Basso, E

Reference 53

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source=pdf_text observed=2026-08-02T21:01:15.044098Z digest=sha256:28371e8d8d607f3f33a5504a3769d259fdc073db18a22453b3a96ee2467505da

Observation 85855ad2-aa30-4a6c-807b-b992f2ce0b21 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-02T21:01:15.163230Z digest=sha256:12127b902023a1c039a724d542186eb8381fe07c1b524aa64ca00771d159ad1e

Observation ec547af2-3bb7-4d4d-b849-d8f0b4e8bfbe · outbound

This paper cites Sherrington and S.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Sherrington and S

Reference 55

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source=pdf_text observed=2026-08-02T21:01:15.269024Z digest=sha256:18c3d5267a72a8869052583b2a668e5406cc6d89be5dc590d381e7e94b886961

Observation 0e35fbbb-d97c-4bf2-b1d3-c977a523c102 · outbound

This paper cites Riesen and H.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Riesen and H

Reference 56

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source=pdf_text observed=2026-08-02T21:01:15.356213Z digest=sha256:4985b625ea0c0c14daca2df7d12bfd093d3e04734680986b037b8f5508551b78

Observation 87f8d94d-cc89-4209-a657-7f2307a7d691 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-02T21:01:15.428770Z digest=sha256:7961377c4dbb7d3952cc54624483fcd783ba9a2ac686ba45c99b896f91d4de6e

Observation 9f924f96-a57e-4ad0-8d97-a9ade38cc90f · outbound

This paper cites Yanardag and S.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Yanardag and S

Reference 58

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source=pdf_text observed=2026-08-02T21:01:15.483712Z digest=sha256:4a27af7d640e3a8e18b3cddec2b7b2f072c751b927fd7bb0fdc3bba14b74a5f1

Observation 5eb32753-de7b-49be-ba98-86fe8a7d8bec · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 59

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doi, observed 2026-08-02T21:03:22.798925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-02T21:01:15.552256Z digest=sha256:7ff1f0a8f12d3fe81db31a667c41c4b0d1907ec0603527ae241d3e0ad96bf4cd

Observation a43fddbb-a32f-429e-954a-07d637e8162a · outbound

This paper cites Dalyac, L.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Dalyac, L

Reference 60

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source=pdf_text observed=2026-08-02T21:01:15.660797Z digest=sha256:ca32292447408d095a8ca34340bac94bdd387d0808de6fd46c9e5306a0b2d73e

Observation b0637e13-3cec-43c9-bd8a-f7dbe92bb6c2 · outbound

This paper cites Kotil, E.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Kotil, E

Reference 61

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source=pdf_text observed=2026-08-02T21:01:15.723914Z digest=sha256:827f0d15fbbb464a8b484041e9d010c1e3f1f710f86cb9bbc4f0890f2d10bfa9

Observation 55d65b38-ec1e-4505-b99d-5a0a97ae6fd0 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-02T21:01:15.778242Z digest=sha256:bc5234d26038cb7a458dcafabccbcc2c872045a52c411fa004f0040e3f209434

Observation e67527ba-0472-43c4-8f0b-de4e1d635c36 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-02T21:01:15.835052Z digest=sha256:1f9362530524d0eff9151b3d4bce02422a4fa5ffebff11998b98eac558d6f039

Observation 09ca7599-f6a7-42ef-b7ea-03233960ff3e · outbound

This paper cites Benjamini and N.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Benjamini and N

Reference 64

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T21:01:15.892981Z digest=sha256:86c064c840b105f2d7ed6e145d97382f7ce23fdd9194d3caa127ff6cfa078229

Observation 13825f42-3703-4fca-82be-1b20db147527 · outbound

This paper cites Coppersmith, D.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Coppersmith, D

Reference 65

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source=pdf_text observed=2026-08-02T21:01:16.058875Z digest=sha256:518ed32386e094e4e85af5571f1d7bd1a6f2f332c3e8deb3ecd06159ce0ff1ae

Observation 4f927d54-f272-4fd1-9cd1-8afa6471f097 · outbound

This paper cites Erdős, A.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Erdős, A

Reference 66

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source=pdf_text observed=2026-08-02T21:01:16.176101Z digest=sha256:a5c69081fdcafc576c42e39ad7ef2533422c1794f12f113741d8f040be8d9abd

Observation 3f388024-4c43-4923-bd43-0ff753b78c38 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 67

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source=pdf_text observed=2026-08-02T21:01:16.356387Z digest=sha256:2613b077dd60cdf68164748fb9afa8bcf3b05a4ec8aca5c6211289d0150629f8

Observation b4f813f8-cee2-46f5-bc79-82dee8c9b373 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 68

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T21:01:16.613316Z digest=sha256:c86b315300dde6d27dc77f4862324740e412afde44a853f316bf720dd7d17ced

Observation 8c33633f-97ca-4ccb-8480-59691c68313a · outbound

This paper cites Herrman, P.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Herrman, P

Reference 69

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source=pdf_text observed=2026-08-02T21:01:16.689630Z digest=sha256:3e9052e2acf1290e5bad132d450928142b432d876d91c74d9cffc178218ff1dc

Observation 74f91da4-e1bd-4b8d-b735-0ed1355bc0f8 · outbound

This paper cites cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/ fake-provider, accessed: 2025-12-15.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/ fake-provider, accessed: 2025-12-15

Reference 70

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source=pdf_text observed=2026-08-02T21:01:16.813756Z digest=sha256:806d4c77eed067b8f2f036115ec1d0491881ef30c490eb931f2f689bdfb78973

Observation 6f324556-c170-47f5-ae8f-89a38aa3c045 · outbound

This paper cites Wurtz and P.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Wurtz and P

Reference 71

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source=pdf_text observed=2026-08-02T21:01:16.986313Z digest=sha256:76336518788afd8559c28194c3217b5be7edae9f9d354d19ab13a053d99c3496

Observation 1b6b8805-6976-41f2-a6e6-596621394b8a · outbound

This paper cites QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA

Reference 72

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T21:01:17.093715Z digest=sha256:ba898a89b90f233a9f715d74660dd5c117c6120550bff98ed55703e00248019c

Observation 8494f671-bf91-49fb-a100-05da252aaddc · outbound

This paper cites Albert, Scale-free networks in cell biology, Journal of cell science118, 4947 (2005).

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Albert, Scale-free networks in cell biology, Journal of cell science118, 4947 (2005)

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source=pdf_text observed=2026-08-02T21:01:17.253425Z digest=sha256:bf1b2e1a5dc89f594d0ccb663f92600d757f9a0779df779fef4cd819eec7b475

Observation cf677aa6-5b74-437b-b1af-ac3ee47c92c1 · outbound

This paper cites Barabási, R.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Barabási, R

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:01:17.361363Z digest=sha256:ab1ffba4b45feb06da8a4b712419aceb2cee610985c23d4969e9747e3eb3ae74

Observation 05cdf935-f782-4774-91e7-fce5def12cc7 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:01:17.515041Z digest=sha256:d095e50f04304efbf2bd927ed58f75b319b77452d79388ffe617a6bfe46cdff3

Observation 07ac6f33-11ed-4904-a0b8-ea85603948f9 · outbound

This paper cites Kim, Y.-M.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Kim, Y.-M

Reference 76

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:01:17.689049Z digest=sha256:569b826163f0356862cd4848b2390afcea09f291db50d467cb1670c05dec5a9a

Observation 2ab19e4b-46cb-42fe-afe4-caacb9a26ebb · outbound

This paper cites Wang, Complex web-api network construction based on barabasi-albert model and popularity-similarity op- timization model, Auckland University of Technology (2019).

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Wang, Complex web-api network construction based on barabasi-albert model and popularity-similarity op- timization model, Auckland University of Technology (2019)

Reference 77

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T21:01:17.814703Z digest=sha256:15edee9e47baec358c13f45fe19748b7f18e0f7c75ff98517402e30d88c23047

Observation 97005c4a-08d2-490f-87f3-9f267c276077 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 78

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:01:17.904828Z digest=sha256:24dc48b6ed39a837f98aa030fa0b6b190fc872f45e8d8566d59ce0e13f49288c

Observation a0b7e2f4-02f4-42ab-99a1-c0404742d88b · outbound

This paper cites Zbinden, A.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Zbinden, A

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-02T21:01:18.004571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:01:18.004571Z digest=sha256:be6ea2afb4c45d82b27d604485db5ea6e8aa580c396d54943883fc742cd24ec2

Observation bea0f6a1-67ea-4a03-862f-46f44ad7f078 · outbound

This paper cites Design and architecture of the IBM Quantum Engine Compiler.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Design and architecture of the IBM Quantum Engine Compiler

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-02T21:01:18.091602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:01:18.091602Z digest=sha256:28fea1c6a81f9e8bc748aabfb91cda180934ace72c1fcd5d7c047f6551b77b4f

Observation 27739630-2525-4c24-8eec-1e2964e0ce4c · outbound

This paper cites Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-02T21:01:18.184101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d1de1213-962f-42bf-9eb1-c5ea25759a53 · outbound

This paper cites an unresolved cited work.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Unresolved cited work

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-02T21:01:18.280834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:01:18.280834Z digest=sha256:4c9dc807e8e1d90b1c1ba797412f061e5d334c93a9673d9a77d4280d09637ccc

Observation d904def3-73ef-4fae-a232-2b25596d5af0 · outbound

This paper cites Karuppasamy, V.

Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA Karuppasamy, V

Reference 83

Resolution
verified exact
doi, observed 2026-08-02T21:03:22.564233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-02T21:01:18.401282Z digest=sha256:1dd66c070ca456c3d81823bd00996303991197b2ec1b03f2144831c66cf203d2

Pith citing papers

Observation 8c99de3e-3679-4461-95ed-585ceb66f6e4 · inbound

Adaptive Qubit Freezing Enables Robust Graph Partitioning for Divide-and-Conquer QAOA cites this paper.

Adaptive Qubit Freezing Enables Robust Graph Partitioning for Divide-and-Conquer QAOA Landscape-Similarity-Guided Optimization in Divide-and-Conquer QAOA

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-10T12:37:04.283752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-10T12:29:52.721186Z digest=sha256:0480418afa705d42478872933147c89c628a7b9c3cc0eac91300b5fd0e7b21e1