Paper Citation Record · LEDGER

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.08153.

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

pith.paper-citation-record.v1
2506.08153 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:42.115989Z

measured 30 of 30 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 2026-08-07T04:16:03.213384Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:16:05.274390Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebefb6b0-69d7-4937-b351-7c539f971ee9 · outbound

This paper cites The Mythical Man-Month,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems The Mythical Man-Month,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.415008Z

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.

Observation 42bec178-c1ab-492d-9c78-f8e450947bb9 · outbound

This paper cites Ameisen,Building Machine Learning Powered Ap- plications.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Ameisen,Building Machine Learning Powered Ap- plications

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.405773Z

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.

Observation 366aba71-2c64-430e-aaf6-0a790cd65e21 · outbound

This paper cites Software Engineering for Ma- chine Learning: A Case Study,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Software Engineering for Ma- chine Learning: A Case Study,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.396847Z

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

Observation c49b460b-bc39-4bfa-8d7f-7146fd501e8d · outbound

This paper cites Machine Learning Systems and Intel- ligent Applications,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Machine Learning Systems and Intel- ligent Applications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.388470Z

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.

Observation b3c00fba-6010-4d8f-ab35-aaae71fe4a31 · outbound

This paper cites Hidden Technical Debt in Machine Learning Systems,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Hidden Technical Debt in Machine Learning Systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.379253Z

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.

Observation cc1c75e8-c7a4-495f-88ef-3e3287417dc6 · outbound

This paper cites A Software Engineering Perspective on Engi- neering Machine Learning Systems: State of the Art and Challenges,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems A Software Engineering Perspective on Engi- neering Machine Learning Systems: State of the Art and Challenges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.370129Z

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.

Observation 47a670ee-c979-499e-8a8d-0068dc0586c6 · outbound

This paper cites Sustainable MLOps: Trends and Challenges,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Sustainable MLOps: Trends and Challenges,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.360241Z

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.

Observation 09d2c854-6c1e-4e86-bf08-0d16ce0914da · outbound

This paper cites Operationalizing Machine Learning: An Interview Study,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Operationalizing Machine Learning: An Interview Study,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.351378Z

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.

Observation 1af2c0a3-0502-49bb-8a9c-5930dbdefbc3 · outbound

This paper cites A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.342590Z

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.

Observation 6b01ca5e-9c31-473e-a44a-c91084423d1b · outbound

This paper cites How does machine learning change software development prac- tices?.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems How does machine learning change software development prac- tices?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.333070Z

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.

Observation b2ca9fd5-77b0-44fe-a1e8-c6dc95fe5258 · outbound

This paper cites Large-Scale Machine Learning Sys- tems in Real-World Industrial Settings: A Review of Challenges and Solutions,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Large-Scale Machine Learning Sys- tems in Real-World Industrial Settings: A Review of Challenges and Solutions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.323829Z

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.

Observation 63ce1454-8c8b-4bb8-8464-45a007279ee2 · outbound

This paper cites A Survey of Data Quality Requirements That Matter in ML De- velopment Pipelines,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems A Survey of Data Quality Requirements That Matter in ML De- velopment Pipelines,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.314094Z

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.

Observation e0ff8bfa-18a1-4b6a-a40b-096cdadaeb6f · outbound

This paper cites Data Pipeline Quality: Influencing Factors, Root Causes of Data-Related Issues, and Processing Problem Areas for Developers,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Data Pipeline Quality: Influencing Factors, Root Causes of Data-Related Issues, and Processing Problem Areas for Developers,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.304155Z

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.

Observation 7ec997bd-1ade-4058-8111-c8fc858eac09 · outbound

This paper cites Trials and tribulations of developers of intelligent systems: A field study,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Trials and tribulations of developers of intelligent systems: A field study,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.295135Z

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.

Observation 3b2d7528-805b-4db4-9b9c-9aefe5d603ab · outbound

This paper cites A model- driven, metrics-based approach to assessing support for quality aspects in MLOps system architectures,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems A model- driven, metrics-based approach to assessing support for quality aspects in MLOps system architectures,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.286038Z

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.

Observation bdadb18b-0b99-4e95-8254-c3369d77bcfc · outbound

This paper cites Verschuren and H.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Verschuren and H

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.275718Z

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.

Observation 0e56ac4b-05e3-4dab-87bc-7d2de8e31642 · outbound

This paper cites Fenton and J.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Fenton and J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.265722Z

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.

Observation 49b573f6-94ba-46ea-8dab-a8ea046cc631 · outbound

This paper cites Continuous Delivery for Machine Learning,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Continuous Delivery for Machine Learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.255993Z

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.

Observation 992297bf-bff8-4174-8ecc-3b0987c6ee5c · outbound

This paper cites Finding a complexity measure for business process models,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Finding a complexity measure for business process models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.244209Z

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.

Observation 2ace3e2e-c984-4410-9768-219d453d7700 · outbound

This paper cites Complexity metrics for process models – A systematic literature review,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Complexity metrics for process models – A systematic literature review,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.234585Z

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.

Observation 4d28b8b7-6165-43e4-85a3-9c384fadf43f · outbound

This paper cites Systematic Review in Software Engineering,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Systematic Review in Software Engineering,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.224757Z

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.

Observation bb237d42-b8c0-458f-ab16-ff8358e27c1c · outbound

This paper cites Practices for Managing Machine Learning Products: A Multivocal Literature Review,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Practices for Managing Machine Learning Products: A Multivocal Literature Review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.215345Z

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.

Observation abe2d10a-8d85-4534-b246-f64fd5cd3dcd · outbound

This paper cites Big data qual- ity metrics for sentiment analysis approaches,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Big data qual- ity metrics for sentiment analysis approaches,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.205968Z

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.

Observation c88b04c4-a197-410e-be3f-ef60acf42f77 · outbound

This paper cites Ontology Develop- ment 101: A Guide to Creating Your First Ontology,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Ontology Develop- ment 101: A Guide to Creating Your First Ontology,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.195463Z

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.

Observation 5c2620e1-d156-43af-889e-18f53890d864 · outbound

This paper cites Selecting Empirical Methods for Software Engineering Research,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Selecting Empirical Methods for Software Engineering Research,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.185531Z

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.

Observation ecad97c4-aec4-4aa3-8307-375c2567d982 · outbound

This paper cites SPIRA: Building an Intelligent Sys- tem for Respiratory Insufficiency Detection,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems SPIRA: Building an Intelligent Sys- tem for Respiratory Insufficiency Detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.175815Z

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.

Observation 086e3081-f280-4443-a937-0bcf4bb6b0f1 · outbound

This paper cites Requirements and Reference Architecture for MLOps: Insights from Industry,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Requirements and Reference Architecture for MLOps: Insights from Industry,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.166375Z

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.

Observation 869e70b0-926a-4f9b-add1-20e7f26c5114 · outbound

This paper cites Wohlin, P.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems Wohlin, P

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.156954Z

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.

Observation 3f480620-c27f-4118-91b3-ea7dae1210e7 · outbound

This paper cites MLOps in Practice: Requirements and a Reference Architecture from Industry,.

A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems MLOps in Practice: Requirements and a Reference Architecture from Industry,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:20:42.146457Z

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.

Pith citing papers

Observation c5cd5cec-dfb1-4cf5-88b8-f2028ce6374c · inbound

A Tale of Two Systems: Characterizing Architectural Complexity on Machine Learning-Enabled Systems cites this paper.

A Tale of Two Systems: Characterizing Architectural Complexity on Machine Learning-Enabled Systems A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T04:16:05.277602Z

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.