Paper Citation Record · LEDGER

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2606.22551.

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

pith.paper-citation-record.v1
2606.22551 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:30:01.477176Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab9aad25-50c1-40e1-89e0-32eb61a6bfc6 · outbound

This paper cites Biamonte, P.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Biamonte, P

Reference 1

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Observation a4b4abe4-029f-4012-a263-cd1f3b876a87 · outbound

This paper cites Benedetti, E.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Benedetti, E

Reference 2

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Observation 454454af-6088-4365-aef9-257fe1a5116a · outbound

This paper cites Abbas, D.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Abbas, D

Reference 3

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Observation ab6835db-65ea-4e0e-a91b-58d1fdcd4ef1 · outbound

This paper cites an unresolved cited work.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 4

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Observation b00071f0-b053-4784-bd89-f4feb44a1a18 · outbound

This paper cites Cerezo, A.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Cerezo, A

Reference 5

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This paper cites an unresolved cited work.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 6

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Observation eff9a493-e185-47a1-8dc4-4f64e2a6c58b · outbound

This paper cites Hubregtsen, J.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Hubregtsen, J

Reference 7

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Observation 97fc0a72-ad78-41cb-9685-f7ef7e67f08c · outbound

This paper cites Goodfellow, Y.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Goodfellow, Y

Reference 8

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Observation cab7ac5a-8898-419e-b43e-4e07bac9351e · outbound

This paper cites an unresolved cited work.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 9

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Observation a231ccd2-8968-483c-9fdb-53b6c78d2ff4 · outbound

This paper cites Holmes, K.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Holmes, K

Reference 10

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Observation d0fc7921-f47a-47d1-9cc4-8a49f88468eb · outbound

This paper cites Ortiz Marrero, M.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Ortiz Marrero, M

Reference 11

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Observation 87ebeac2-4a82-4e12-93e8-cbd5cac53098 · outbound

This paper cites Heyraud, Z.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Heyraud, Z

Reference 12

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Observation 810f6646-0d37-45fe-b25e-5e2f7b1e2674 · outbound

This paper cites Grant, L.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Grant, L

Reference 13

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Observation 7eea1ab4-8cd2-4ffc-ae9a-83fcb726b417 · outbound

This paper cites an unresolved cited work.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 14

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Observation 5e7349cf-a08e-4f5c-a911-f4f22c0cc0f0 · outbound

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 15

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Observation 29a81ed0-632b-4855-af9c-4f029d384b44 · outbound

This paper cites Ragone, B.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Ragone, B

Reference 16

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Observation 07582cbe-5b45-4762-8add-89f8f51ccf90 · outbound

This paper cites Thanasilp, S.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Thanasilp, S

Reference 17

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Observation a87d75f4-da6f-4783-8014-abf6d00e436e · outbound

This paper cites Schuld, R.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Schuld, R

Reference 18

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Observation 928e0baf-6a57-4d9a-b042-4b49b79c9302 · outbound

This paper cites Berberich, D.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Berberich, D

Reference 19

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Observation 4095d82f-6a01-4a9c-bc5f-08dc73eb268e · outbound

This paper cites Kashif, M.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Kashif, M

Reference 20

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Observation 50ca03a9-5128-4f7e-881f-7f0241ffda4d · outbound

This paper cites Volkoff, P.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Volkoff, P

Reference 21

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Observation 5fd9c330-21cc-461d-b19b-e13724801d64 · outbound

This paper cites Sharma, M.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Sharma, M

Reference 22

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Observation 9226a612-7b79-437d-81f0-7c0490d66da0 · outbound

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 23

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Observation 5802ab3e-876a-4183-944e-ee1f6eb3058f · outbound

This paper cites Mahendra, V.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Mahendra, V

Reference 24

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Observation 05163630-dc35-4764-8608-1bb20a4b98d4 · outbound

This paper cites Huggins, P.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Huggins, P

Reference 25

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Observation 99246caf-a393-4483-b465-a92c81780409 · outbound

This paper cites Rieser, F.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Rieser, F

Reference 26

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Observation 4ed11a31-c738-4263-a207-3467c3a418b1 · outbound

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 27

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Observation fb5ce4c7-ca40-4005-9907-ec21ee3d0c5c · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Supervised quantum machine learning models are kernel methods

Reference 28

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Observation 2eda01e8-c47a-4740-8018-d6b67a320130 · outbound

This paper cites Huang, M.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Huang, M

Reference 29

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Observation fb6f0255-1a3e-4b23-9802-3376b6de8390 · outbound

This paper cites Lozano-Cruz, A.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Lozano-Cruz, A

Reference 30

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Observation 2c453797-6a1a-4ef8-96c7-fb5a21276ac8 · outbound

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 31

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Observation cd3a34d8-f4c4-421d-ba61-f95cf6b7b165 · outbound

This paper cites Pesah, M.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Pesah, M

Reference 32

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Observation 0ac47f74-e79f-45f0-acc0-c1ac6d602b67 · outbound

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 33

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Observation 1d8e8908-294b-4ddc-9263-7bf8e8a2c4da · outbound

This paper cites Mehrtash, W.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Mehrtash, W

Reference 34

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Observation 746c2944-3a90-44c9-b17f-f7a10929551e · outbound

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 35

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

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Observation e0d7fd5b-1ac6-48ff-b6d4-070b80698ec1 · outbound

This paper cites Jaderberg, L.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Jaderberg, L

Reference 37

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 38

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Observation 6d7da2bf-70a2-4548-b239-5fdf84038090 · outbound

This paper cites Truckenbrodt, M.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Truckenbrodt, M

Reference 39

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Truckenbrodt, C

Reference 40

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

Reference 41

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Unresolved cited work

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This paper cites Pérez-Salinas, A.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Pérez-Salinas, A

Reference 44

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Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Pascanu, T

Reference 45

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Observation c41fa075-7efa-4192-99e1-086d55cda5fe · outbound

This paper cites Skolik, J.

Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification Skolik, J

Reference 46

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Pith citing papers

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