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Paper Citation Record · LEDGER

Identifying Flaky Tests in Quantum Code: A Machine Learning Approach

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.616953Z digest=sha256:808d1cf5b5ded58daeb54d92b86afd80c96f9d01483ab4fa687c9a49fd7fdc98

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.620611Z digest=sha256:4d252e211adc66456866e7c09e06c9d2dc4bd93c49e13ea54bb2605d8d2541ad

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.624513Z digest=sha256:f2c90d736be53e3199d3d96aa54271162759df0343d59492d5e351a3e4d82716

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.627576Z digest=sha256:fb7f0d5677b0e0fe2e26af2ae2aeadb8e6bd39546f3f9cf2fddca7bad49f5dae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.630454Z digest=sha256:db3f636c61e72c61aac50ae3cde8b255091de0f3b0524448a64596c9b1858760

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.633630Z digest=sha256:27c9cc71a647bc5be5f0a8659b47124fc7001697e8898d3ffd01881556f0d9c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.636827Z digest=sha256:1b0678759a3504cf9cbd5c604b84491f483867b5835398261dc93ac0513ee169

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.639617Z digest=sha256:963b13c90ade7ca7b94de3f4248ea3198259b015551343a27de31d1a5e91a56b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.642397Z digest=sha256:a54d0b57aa1ed421718b7f2b41aaafa4c69ccf3484dad55a0feeef74c1af1627

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.645108Z digest=sha256:d18dcee3810d791c5af1689444f6afaa4e545b8e9669e7fbee03490b6285cc00

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.648110Z digest=sha256:ca5c102acb5da654dd2cf80ec7b6ee9ec9065e441b39ffbac7044c61d066faf4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.651091Z digest=sha256:50c00cbcff05237c28ac6e049e3761d991c608ef3814f7704aa22065204f11fd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.653788Z digest=sha256:b1bb21def28d723b22e6ca3d0ded347ec79916d6ad97d5479f0a5a1d920897a1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.656541Z digest=sha256:52b0a51ab501b0985be579196fcc1362920366af14172dc5a625fdfa821023a2

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=sha256:41e380f5f1a5bde1b5377de51c62c090cf7d116f39caf14d51d8680a88882a9b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.662186Z digest=sha256:f28f87142f8f6ef33f1ca581b8d831bd9b1e6835a86592135f3e1237ddabdcb0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.665264Z digest=sha256:faeb2c1ec0e533754ef2093f7313fecdb282f7516718d064e7b040279c51a5d6

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:ec06d3620b26c018ad08f5e890942edaab52b30705d5b4d83698a7a39da6f3a2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.670880Z digest=sha256:3e390dd21919c77e9a8e4d74bc3ad2b2b88ef89fc463c93d17aa23c93bba753b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.673691Z digest=sha256:ae772f727197dc9e23d788dfa0035ff912bdcd11a807c50f02d7ba4acf968fdb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.676426Z digest=sha256:85065dc464fe4e0a7df34f20c8f14e690b9fb7de0e3efa0542783bd596d3f9ce

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:e9214cbdb20b18c6d80e5d06b2eaac7985a5985c1a22a135e853415d243ff779

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.681766Z digest=sha256:1ef7824c3023a13fd4bda8f20890a5f162ef488bc98260c0efa7465d67a5a62e

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=sha256:2e150193d58900865ce68cc4635f44eb1a793af4b901db20ea0351890be27467

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.687199Z digest=sha256:25e4546b7804dd7b2f722e190b695fec571ce791acb77ecac56371e8336c2ba5

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.689970Z digest=sha256:54d46ec9b2dfbb1e79ec6b052ede326fa744c3f451ddab2d58bf64074f3725ca

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.692681Z digest=sha256:bc5ee0e9bcfd07d09f9f37e2a82bfad123ebccd861b137766e31d2130fb94ba4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.695594Z digest=sha256:12b136c2b1f019e9f1a5da2d01ae04cc864ed0118b6a0f800ac043e40c120de1

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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no resolver link, observed 2026-08-08T22:40:41.698613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:40:41.698613Z digest=sha256:44f13ccd5a1bbff02c069ea85ef4b81b44291d6ccf6730effe7e20911e09b847

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.701941Z digest=sha256:dc9f15ecbd80c063152361bdb72c0f05e46b7129220f6749dda14ce131be88d4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.704601Z digest=sha256:f048b5ab7c12ed15617d8bbdafb86917960736256c97d958668f73311666ced9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.707291Z digest=sha256:7b99304f3c2605ebf46bfcbcb3c2757f266fe0d0fc093d8401671a67c4b01951

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T22:40:41.710053Z digest=sha256:d4c2049d608cab290731776797b32cc9c053411f754396c5f71131a251ce16e3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-03T15:08:15.990140Z digest=sha256:1bfccc07a6939560be46c6c719b1cebf6bd683476c34ae999199f40aa2707d21