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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.616953Z digest=sha256:897c91875e9ac991e455e1bef0d118ae6cd143d3d10a117cd6a1f9611e5f735e

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 2026-08-09T06:31:02.800959+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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raw_fallback, observed 2026-08-08T22:40:41.986415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.624513Z digest=sha256:7fc171c6c536afad9f223b72141e446a67140017fcce63f9ef5f6ad5407884c5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.627576Z digest=sha256:bc480cd8f5819e0f0944e244fc67cf8dc78d0a9b23d30a0fa5bf5a95b19b8cbe

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.630454Z digest=sha256:1e6fc1136bc921c3af3cb186c28c4f4517cb420bc095b38c95eb2b28422f2766

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.633630Z digest=sha256:ac360a6e6a833a94422cb604b902c33d571e0945d4f55f8f0d6a1e4389f75291

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.636827Z digest=sha256:34cf025d5ffa8ce8bcddc8898b55bb0a8fc5ce22d67a4a063c534fe9f2fd8e52

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.639617Z digest=sha256:4819545675606867145a8a5a0075f8d0358bd875347ac38fff855be014b9d60a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.642397Z digest=sha256:f90b59359b8b9e7c260d022d1308a604782acfb2a8f9020a0193c46f04781918

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.645108Z digest=sha256:348fe87d625b72823cbbfd0238d1629c10b8a98362eb7c7c015706d7f63c4e19

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.648110Z digest=sha256:32513ee4320b407f60a01139f275f9c6c2a9d7c5731767d293936d169b0bde50

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.651091Z digest=sha256:fdbdf79f27e960cc3ffc7232e7724b707cfd025d70ba2fae07e3659e42e1a5a5

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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raw_fallback, observed 2026-08-08T22:40:41.900992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.653788Z digest=sha256:6ba39e06d8773965c6fe569aa307096872ded3aff8a7080cdf803760ab083dec

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 2026-08-09T06:31:02.800959+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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no resolver link, observed 2026-08-08T22:40:41.659372Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.665264Z digest=sha256:044fb2b032641aed36b552157e12eadcd9944990dfdce1d5a2f3198ff48a1871

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.670880Z digest=sha256:5103d83215feba5bb0b7ce2ed9e1c0c7607e31d7f9e442a7ebbe90ac9509bcb5

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.673691Z digest=sha256:7088d79d78ddc6f6d400be169ba8351f79d345731a6e16d04d03167e11a0251c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.676426Z digest=sha256:96c409558ff7aec06b90bc86c46b845785e0f1311361e3e4a1fa7612b491d1cf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.681766Z digest=sha256:396543e3ea4de22d21df331e3f121cb620c52060e122298d409365b34414a3ef

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.687199Z digest=sha256:c4665e45625c4de3de2e68a66e030d169ef3eaed13bf9071c47188c60bd6a1d8

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.689970Z digest=sha256:c9acb22db66280c1ee1c4819b65bb759bd82e08efbc7093fc454bbf476db73ce

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.692681Z digest=sha256:18e1fec3fba4f89ca245e903ca6618bbe9947d4c00a00b0ce1afddc37fdba8f7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.695594Z digest=sha256:5bfcb3e7272ecb38bf46a51e30eea531eea659df8a4e77dfc70eb1b5cea0a7ef

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.701941Z digest=sha256:63b6e27f104230aa2859f743f9a032e5e7acded2e30e8dcba614ecfc85729b75

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.704601Z digest=sha256:555cf86619dd661754b1d0f5e7a3506ea5799e8bba2f6292bc0ce0675ce20209

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.707291Z digest=sha256:848cee707a5b0399f479066e07463ca52914cb7bf17661a971225add81b800da

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T22:40:41.710053Z digest=sha256:a798236a0bbec4735749c8caef9cccc8d11deff2720f74e7b8603c13f0cc20f8

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 2026-08-09T06:31:02.800959+00:00.

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