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Paper Citation Record · LEDGER

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2502.04471.

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

pith.paper-citation-record.v1
2502.04471 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:40:41.710053Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:08:15.990140Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1389ba3e-bf64-4bdd-aca3-e1aa15c8d779 · outbound

This paper cites Taming Google-scale continuous testing,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Taming Google-scale continuous testing,

Reference 1

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raw_fallback, observed 2026-08-08T22:40:42.002544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.616953Z digest=sha256:ece45b96674b7f8afd54d5498149671ad9080ad55cc3ad8722900a46bc824b59

Observation 2777956e-b1b9-40bf-bd8f-c812ee3c7984 · outbound

This paper cites Root causing flaky tests in a large-scale industrial setting,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Root causing flaky tests in a large-scale industrial setting,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0f4ad141-4e0b-40c3-b065-3337c14c4f27 · outbound

This paper cites A survey on how test flakiness affects developers and what support they need to address it,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach A survey on how test flakiness affects developers and what support they need to address it,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.624513Z digest=sha256:fb0d3743ef9a2cb1f234dfc07ba9803360fcc5f1ee5b5f3bd05cfd0c64a119cb

Observation b673d9bb-c4ef-43fd-bb90-46797386e115 · outbound

This paper cites A sur- vey of flaky tests,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach A sur- vey of flaky tests,

Reference 4

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raw_fallback, observed 2026-08-08T22:40:41.978491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.627576Z digest=sha256:97b7f80a472cc23de68ef45bec0d6ff1584e11bc631dcdd3fce7ea7fd2d0b468

Observation 6ced64f2-fae2-40aa-917f-19f2ebd328d7 · outbound

This paper cites An empirical anal- ysis of flaky tests,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach An empirical anal- ysis of flaky tests,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.630454Z digest=sha256:c6b9608b6425e16d0962f6e3b22d65a0c659c563882ff5ee119fc49f9cfe064c

Observation e42f3a4e-7b8e-4e9e-86fa-2dfa6826877a · outbound

This paper cites An empirical study of flaky tests in Python,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach An empirical study of flaky tests in Python,

Reference 6

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raw_fallback, observed 2026-08-08T22:40:41.962229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.633630Z digest=sha256:63d59f0a711c87b16007b17c0ea21292c145eafaa504f5eb71b052facdcba903

Observation 769c32b0-249b-4e06-97eb-cb4412d6a1b8 · outbound

This paper cites iDFlakies: A framework for detecting and partially classifying flaky tests,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach iDFlakies: A framework for detecting and partially classifying flaky tests,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.636827Z digest=sha256:339d9f7b99bc3706ed193f2e37b3311a58f289c226d9561b76e8958ab91cd123

Observation d7a7b5a3-6f10-4514-be93-b848a85c681c · outbound

This paper cites Shake it! detecting flaky tests caused by concurrency with shaker,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Shake it! detecting flaky tests caused by concurrency with shaker,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.639617Z digest=sha256:2f12641a94df25c1e3fb14198b09f5a2406885f1177338b111d9fe6a9c82868a

Observation 3867dabd-25ad-4a7e-af21-d34595b0e84f · outbound

This paper cites DeFlaker: Automatically detecting flaky tests,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach DeFlaker: Automatically detecting flaky tests,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.642397Z digest=sha256:1708e1d86c26d233adc9b1fa05c5988c11762a5a042c6c297dd457dbf75ced7f

Observation f368efd1-c786-45e2-b2a7-d1e4e431badd · outbound

This paper cites FlakeFlagger: Predicting flakiness without rerunning tests,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach FlakeFlagger: Predicting flakiness without rerunning tests,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.645108Z digest=sha256:902666a71dab90ae9a100e981d6a5d4baa11d152887321d231858cdbd84d2c30

Observation 65f7724e-ea04-43a8-9507-b6cfbf800e90 · outbound

This paper cites Know you neighbor: Fast static prediction of test flakiness,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Know you neighbor: Fast static prediction of test flakiness,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3c6c6b70-6c5f-446b-98a3-9379f9f0d295 · outbound

This paper cites FlakyCat: Predicting flaky tests categories using few-shot learn- ing,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach FlakyCat: Predicting flaky tests categories using few-shot learn- ing,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.651091Z digest=sha256:3a22da841a5718a457a664db7d7f8232518f909f7aff73eb4c56efb2193dc7ac

Observation d1d2ab43-5b9a-4e8d-a4c9-e89c35575d9d · outbound

This paper cites Test flakiness across programming languages,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Test flakiness across programming languages,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c19199f8-cbc1-41c3-85e5-5d919be4fb91 · outbound

This paper cites A qualitative study on the sources, impacts, and mitigation strategies of flaky tests,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach A qualitative study on the sources, impacts, and mitigation strategies of flaky tests,

Reference 14

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raw_fallback, observed 2026-08-08T22:40:41.892478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cf6f1e8c-a312-4c1b-a8fb-d6a0593d1c08 · outbound

This paper cites Software engineering for quantum programming: How far are we?.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Software engineering for quantum programming: How far are we?

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.659372Z digest=sha256:62aae0cd919c539dfe8a9b77e3a26084724898fd306b292f0f4447fb45a58ccd

Observation ff98e874-f2f3-4b87-b694-a06cf03320db · outbound

This paper cites Quantum Software Engineering: Landscapes and Horizons.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Quantum Software Engineering: Landscapes and Horizons

Reference 16

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no resolver link, observed 2026-08-08T22:40:41.662186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.662186Z digest=sha256:3f6518d1d8c7634b1c0a251317407291d6c1150012e7da6da157f90decb7fabb

Observation 0a0a646e-9599-4df3-a19a-0b2c7b56f32f · outbound

This paper cites Quantum computers and quantum computations,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Quantum computers and quantum computations,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.665264Z digest=sha256:69d470af06a7c7866edd2033b48692b5e80e0c62a4d65c4c42a76e98f54c9687

Observation 84640c8b-90de-4d6a-a89a-65f431d55179 · outbound

This paper cites Quantum entanglement,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Quantum entanglement,

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.668194Z digest=sha256:21a63d99f8026478224b09869be3f2d4fa4994007d9d5b5add98ba97aa258e1f

Observation ee9b6f06-6324-46a7-888c-cec565c4c075 · outbound

This paper cites Identifying flakiness in quantum programs,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Identifying flakiness in quantum programs,

Reference 19

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raw_fallback, observed 2026-08-08T22:40:41.865345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.670880Z digest=sha256:0ceb0a3db4c893e1c4b9230d35f23740fe4e106bdec1316c5cfb106afd2ac755

Observation f562eb62-859a-44dc-8a2c-c3f8d65a919b · outbound

This paper cites XGBoost: A scalable tree boosting system,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach XGBoost: A scalable tree boosting system,

Reference 20

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raw_fallback, observed 2026-08-08T22:40:41.856605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.673691Z digest=sha256:71b10cb881ee072bea649b278b8b3bae4c1dc91c4c52107b647a5cfc2653c5b7

Observation ce566b47-d36e-4869-b0b6-85b74cb4d69b · outbound

This paper cites Induction of decision trees,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Induction of decision trees,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.676426Z digest=sha256:3d8b524e6e0a81691307c9b5c0f07f10cd0e22f951044816c2bc2d417f5ee60d

Observation 707d4ff1-e7fc-4804-9d13-a0f1c7f391dc · outbound

This paper cites Random forests,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Random forests,

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.679126Z digest=sha256:0343162f4d1d310ab5c24c500eebe04f5a0ddc79852331660e810c7b4534253d

Observation 9d88c544-6f5e-470a-96e7-0977f0db39d2 · outbound

This paper cites KNN model- based approach in classification,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach KNN model- based approach in classification,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.681766Z digest=sha256:cabadacbab8e3c7448fea9ef9f349f82aae5fab437a8314284b8f8506be3536f

Observation 54e92951-0936-4c60-8311-573fe3656232 · outbound

This paper cites Support-vector networks,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Support-vector networks,

Reference 24

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no resolver link, observed 2026-08-08T22:40:41.684472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.684472Z digest=sha256:75ce286e7f808496d808e5c26f34e1f2c8aef081ede57ad0d3006799c2bc668f

Observation d26dc0a6-bebc-491b-8d09-24d9a92339c5 · outbound

This paper cites An overview of bag of words; importance, implementation, applications, and challenges,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach An overview of bag of words; importance, implementation, applications, and challenges,

Reference 25

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raw_fallback, observed 2026-08-08T22:40:41.820559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.687199Z digest=sha256:35054783dcf74a12bc14bb71fb14f8acf7b83f748a4e76ab2bfbba5dd46b6b48

Observation c14fe413-aa20-47f2-8eb4-2a3272441cf9 · outbound

This paper cites An overview of principal component analysis,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach An overview of principal component analysis,

Reference 26

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raw_fallback, observed 2026-08-08T22:40:41.811732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.689970Z digest=sha256:1d26c5f66601374374f32acf0d9986a4a7434aba909655433fb866b3a3f4b23b

Observation c4130d12-a66a-45eb-bad1-e3b43c72cf50 · outbound

This paper cites A random forest guided tour,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach A random forest guided tour,

Reference 27

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raw_fallback, observed 2026-08-08T22:40:41.802616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.692681Z digest=sha256:dc51a5015767afdd33ee43db4e7e616cba0f6c4f542fdc0f291577007b829e40

Observation e8ded719-025e-4f4d-937c-583d4cfc9b63 · outbound

This paper cites Automated flakiness detection in quantum software bug reports.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Automated flakiness detection in quantum software bug reports

Reference 28

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local_arxiv, observed 2026-08-08T22:40:41.750002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.695594Z digest=sha256:01898a33ca00cf8c3a160a5eed8ab54d92a4ac88bcd9278ac9346967c67eb879

Observation dfd03aa2-9513-491f-9bc0-964be05b6fa9 · outbound

This paper cites Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.698613Z digest=sha256:9040052fe214a863d087e86acbf5340c74afd3d1c547a3a20b732aff1503e25c

Observation 5ab05821-8073-4965-bd92-cbd848f72409 · outbound

This paper cites Smote: synthetic minority over-sampling technique,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Smote: synthetic minority over-sampling technique,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.701941Z digest=sha256:a39b3b04a33ba5a75170d63b48cbeadaa42ddc563dabdf89a321164defcc6f4a

Observation 1635a9f8-c272-4bea-93d6-ba90f0db890b · outbound

This paper cites Wohlin, P.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Wohlin, P

Reference 31

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.704601Z digest=sha256:9f703ab9a0ef0c6b76900c47d9c61a66c655e4f2ed90065f3bb14005d99cfcab

Observation cd05365f-ad0f-48fe-992e-25000a3e335c · outbound

This paper cites an unresolved cited work.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.707291Z digest=sha256:14a4ad56c8639fe4a7c4444ffe72393ceacaa663e7e6267cead4b22cca8f9bfd

Observation 53c032bd-ec55-43ba-b3bf-c8c64ee2378d · outbound

This paper cites Six strategies for generalizing software engineering theories,.

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach Six strategies for generalizing software engineering theories,

Reference 33

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T22:40:41.710053Z digest=sha256:52d601b60e60e932af9305744d67f6d279a803294345d1c8f5391d329880bfb9

Pith citing papers

Observation 7d659c88-813a-40f3-97f6-857a541bbe2a · inbound

Detecting Flakiness in Quantum Software: A Dynamic Testing Approach cites this paper.

Detecting Flakiness in Quantum Software: A Dynamic Testing Approach Identifying Flaky Tests in Quantum Code: A Machine Learning Approach

Reference 2025

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local_arxiv, observed 2026-08-03T15:14:09.315514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-03T15:08:15.990140Z digest=sha256:da6cc4a930e3b8daa1890b03b5cc5c937855e9f4391efc4629f749a348c1f3df