Paper Citation Record · LEDGER

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.04536.

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

pith.paper-citation-record.v1
2509.04536 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:35:07.264616Z

measured 30 of 30 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 0 of 0 inbound itemization

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

30 of 30 outbound references displayed

verified exact1
verified fuzzy18
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3522b88a-665a-4421-a3dd-237c806ff366 · outbound

This paper cites an unresolved cited work.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:35:09.018932Z

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.

Observation 80ca652d-cad0-4d03-8c86-e6b323bd3934 · outbound

This paper cites International Journal of Computing (2019).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics International Journal of Computing (2019)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.975302Z

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.

Observation 57474fdd-22eb-4a71-b654-1318b81ddde3 · outbound

This paper cites Quantum Neural Networks: A Comparative Analysis and Noise Robustness Evaluation.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Quantum Neural Networks: A Comparative Analysis and Noise Robustness Evaluation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T10:35:06.514850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfae44a7-653c-4571-9d03-3f00db93e4f1 · outbound

This paper cites In: Computer Safety, Reliability, and Security.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics In: Computer Safety, Reliability, and Security

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.923433Z

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.

Observation 78fe3531-9460-4ecf-913d-98f9c7dd2a99 · outbound

This paper cites IEEE Software (2023).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics IEEE Software (2023)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.875508Z

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.

Observation efe95934-bc49-4eda-952e-5f7a81048123 · outbound

This paper cites Computer54(8), 66–76 (2021).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Computer54(8), 66–76 (2021)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.835907Z

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.

Observation 717b9d26-1bb7-458f-8547-d0afedb8720f · outbound

This paper cites In: Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics In: Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.788846Z

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.

Observation e19ee70e-20ea-4691-94ce-475703b9cef5 · outbound

This paper cites In: Model-Based Safety and Assessment: 7th International Sympo- sium, IMBSA 2020, Lisbon, Portugal, September 14–16, 2020, Proceedings 7.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics In: Model-Based Safety and Assessment: 7th International Sympo- sium, IMBSA 2020, Lisbon, Portugal, September 14–16, 2020, Proceedings 7

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.752145Z

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.

Observation db90ba45-0966-40d6-b589-8217804e4287 · outbound

This paper cites Quantum Science and Technology4(4), 043001 (2019).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Quantum Science and Technology4(4), 043001 (2019)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T10:35:07.007713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af24ba8-6945-4104-b2ae-69e1ef1443c5 · outbound

This paper cites an unresolved cited work.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T10:35:08.702218Z

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.

Observation bccad8e2-975e-424c-9d92-043f65da4186 · outbound

This paper cites Transactions of the American Mathemat- ical Society 135, 199–212 (1969).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Transactions of the American Mathemat- ical Society 135, 199–212 (1969)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.660476Z

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.

Observation 20c8f0b5-21a7-452e-aea3-4eb319235e8f · outbound

This paper cites IEEE Access10, 39769–39781 (2022).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics IEEE Access10, 39769–39781 (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.626447Z

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.

Observation 708adc14-6273-43d6-aeb0-2d6757e05cde · outbound

This paper cites Scope Compliance Uncertainty Estimate.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Scope Compliance Uncertainty Estimate

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T10:35:07.972830Z

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.

Observation 263e59f2-1a5e-4f9c-809a-f8e25369382d · outbound

This paper cites In: Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings.

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.601627Z

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.

Observation 4e70bf5a-c44d-4966-87db-221aeee82f93 · outbound

This paper cites Bachelor’s thesis, University of Barcelona (2018), https://diposit.ub.edu/dspace/bitstream/2445/140318/1/ GIL%20FUSTER%20Elies%20Miquel.pdf.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Bachelor’s thesis, University of Barcelona (2018), https://diposit.ub.edu/dspace/bitstream/2445/140318/1/ GIL%20FUSTER%20Elies%20Miquel.pdf

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.556202Z

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.

Observation 602cf9e5-2436-431a-b31a-7f171bbb0bd9 · outbound

This paper cites IBM Quantum Computing Blog (2024), https://www.ibm.com/quantum/blog/ ibm-quantum-roadmap-2025?lnk=ushpv18r1.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics IBM Quantum Computing Blog (2024), https://www.ibm.com/quantum/blog/ ibm-quantum-roadmap-2025?lnk=ushpv18r1

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.507978Z

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.

Observation 7e5776f8-4dbe-43b5-ae52-0f182aec198f · outbound

This paper cites Journal of Modern Optics41(12), 2315–2323 (1994) QSafeML: Safety Evaluation of Quantum ML Models 17.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Journal of Modern Optics41(12), 2315–2323 (1994) QSafeML: Safety Evaluation of Quantum ML Models 17

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.448460Z

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.

Observation ea807bdb-8749-417b-823a-21c95b664fe1 · outbound

This paper cites In: 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics In: 2022 International Conference on Computing, Electronics & Communications Engineering (iCCECE)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.398780Z

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.

Observation d9da2cec-cffd-44bc-9628-60546aff4762 · outbound

This paper cites Neural Networks175, 106288 (2024).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Neural Networks175, 106288 (2024)

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T10:35:07.916913Z

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.

Observation 0a4b2725-17a4-4769-95ee-eb68717a6260 · outbound

This paper cites Nature 464(7285), 45–53 (2010).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Nature 464(7285), 45–53 (2010)

Reference 20

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T10:35:08.333911Z

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.

Observation b0af81b8-2ccb-463d-bd44-2462aeb02b48 · outbound

This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T10:35:07.148352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3768337-bf69-4bdd-807e-c903d8f686ce · outbound

This paper cites Google Blog (2024), https://blog.google/technology/research/google-willow-quantum-chip/.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Google Blog (2024), https://blog.google/technology/research/google-willow-quantum-chip/

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.263458Z

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.

Observation 01f3c7ba-9e97-4cac-b79e-a5999e5729fa · outbound

This paper cites Cambridge University Press (2002).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Cambridge University Press (2002)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.214701Z

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.

Observation 24506ffd-83da-47ec-8054-83523874b10a · outbound

This paper cites ACM Computing Surveys55(6) (2022).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics ACM Computing Surveys55(6) (2022)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T10:35:07.187177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation febc0b37-0500-4c73-be4f-236b9bc4abe4 · outbound

This paper cites Physical Review A102(3), 032420 (2020).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Physical Review A102(3), 032420 (2020)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T10:35:07.198455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f12af6-ba41-42ed-afa5-9a96c9888f69 · outbound

This paper cites Reports on Mathematical Physics9(2), 273–279 (1976).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Reports on Mathematical Physics9(2), 273–279 (1976)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.169123Z

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.

Observation 63f715b3-f3fa-4f86-9c7a-3a5789fb07a9 · outbound

This paper cites Retrieved fromhttps://artificialintelligenceact.eu (2024).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Retrieved fromhttps://artificialintelligenceact.eu (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.121636Z

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.

Observation 80bdb787-be6a-4580-97fe-c63fa84b84c5 · outbound

This paper cites Reviews of Modern Physics74(1), 197–234 (2002).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Reviews of Modern Physics74(1), 197–234 (2002)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:35:08.067813Z

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.

Observation 4d561056-6dec-4911-90c0-ab21a8527649 · outbound

This paper cites Reliability Engineering & System Safety 211, 107530 (2021).

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics Reliability Engineering & System Safety 211, 107530 (2021)

Reference 29

Resolution: verified exact; doi, observed 2026-08-05T10:35:07.346560Z

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.

Observation bdaa0799-b8b9-4ead-a436-623f999d9a33 · outbound

This paper cites IEEE Transactions on Software Engineering 51(1), 82–105 (2025).https://doi.org/10.1109/tse.2024.3491496.

Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics IEEE Transactions on Software Engineering 51(1), 82–105 (2025).https://doi.org/10.1109/tse.2024.3491496

Reference 30

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T10:35:07.721996Z

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

Pith citing papers

No inbound Pith citation observations are available.