{"as_of":"2026-08-08T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7466b619b49d0db2e9b42bdab22de9fb27dd11fd7431753c7a40da796ac36270","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:20:42.115989Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:16:03.213384Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T04:16:05.274390Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"cited_work":{"arxiv_id":"2506.08153","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.08153","snapshot_observed_at":"2026-08-07T04:16:05.274390Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","venue":"cs.SE","work_id":"23d1b980-5c5f-47a2-b9ef-7670f406c368","year":2025},"citing_paper":{"arxiv_id":"2506.11295","last_updated":"2025-06-12T20:54:28Z","snapshot_observed_at":"2026-08-07T04:09:20.668115Z","submitted_at":"2025-06-12T20:54:28Z","title":"A Tale of Two Systems: Characterizing Architectural Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:16:03.213384Z"},"links":{"cited_paper":"/paper/2506.08153","citing_paper":"/paper/2506.11295"},"observation_digest":"sha256:3f77dde34c16e2a457b3efedb75b3272711263c4534bf73e5477037e6e64b603","observation_id":"c5cd5cec-dfb1-4cf5-88b8-f2028ce6374c","resolution":{"observed_at":"2026-08-07T04:16:05.277602Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.08153/citation-record","integrity":"/paper/2506.08153/integrity","json":"/paper/2506.08153/citation-record.json","paper":"/paper/2506.08153"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.411966Z","title":"The Mythical Man-Month,","venue":null,"work_id":"e5ddbc96-7b26-4f81-bb85-ec177685c168","year":1975},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.030772Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:e5223c1571c16ca9fa5bb92a721d17c4cfd7ee418efa34db83e7f24c9e3bfb87","observation_id":"ebefb6b0-69d7-4937-b351-7c539f971ee9","resolution":{"observed_at":"2026-08-07T05:20:42.415008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.402730Z","title":"Ameisen,Building Machine Learning Powered Ap- plications","venue":null,"work_id":"d4b298a5-5000-462e-9a03-8271666ff30b","year":2020},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.034433Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:75a63710f47508e8bd9fe15c8776ec19c7c46ff7cd64f1d0027f6bbf8c787deb","observation_id":"42bec178-c1ab-492d-9c78-f8e450947bb9","resolution":{"observed_at":"2026-08-07T05:20:42.405773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.394001Z","title":"Software Engineering for Ma- chine Learning: A Case Study,","venue":null,"work_id":"5b2cdb26-4701-47f5-bc01-8bbab7d4468f","year":2019},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.037835Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:01644cd404a63c6e78f2b6b8c2ca7ec997957024ac29adcda3a3588d2ecde6a5","observation_id":"366aba71-2c64-430e-aaf6-0a790cd65e21","resolution":{"observed_at":"2026-08-07T05:20:42.396847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.385379Z","title":"Machine Learning Systems and Intel- ligent Applications,","venue":null,"work_id":"a3988d19-cddc-4ce1-a512-dc89df29816a","year":2020},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.041015Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:d504605e67f080229ce1d9e03d268b5c145ef366d01c284d6c5143d5591148ae","observation_id":"c49b460b-bc39-4bfa-8d7f-7146fd501e8d","resolution":{"observed_at":"2026-08-07T05:20:42.388470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.376228Z","title":"Hidden Technical Debt in Machine Learning Systems,","venue":null,"work_id":"304fa127-8a00-417b-aab5-950fbc865521","year":2015},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.044390Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:8e1bf44c8e469b7f80624d165297aef92a28deebd60c5c9b45606ef16d4d4b35","observation_id":"b3c00fba-6010-4d8f-ab35-aaae71fe4a31","resolution":{"observed_at":"2026-08-07T05:20:42.379253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.367207Z","title":"A Software Engineering Perspective on Engi- neering Machine Learning Systems: State of the Art and Challenges,","venue":null,"work_id":"15111a70-cc90-4c42-8c07-02f327b080e8","year":2021},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.048117Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:cfa010defe7d3d19dcecdfd38651f249e85f51861d57a782e65a21806fe63b32","observation_id":"cc1c75e8-c7a4-495f-88ef-3e3287417dc6","resolution":{"observed_at":"2026-08-07T05:20:42.370129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.357090Z","title":"Sustainable MLOps: Trends and Challenges,","venue":null,"work_id":"abbac1be-8b9c-4a72-9344-f56f1694118a","year":2020},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.051952Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:2d96d23d3506a6b4543ab7323502071cce0734a57a223b26a5fd825b73e2b2c7","observation_id":"47a670ee-c979-499e-8a8d-0068dc0586c6","resolution":{"observed_at":"2026-08-07T05:20:42.360241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.348478Z","title":"Operationalizing Machine Learning: An Interview Study,","venue":null,"work_id":"4c734258-c5b1-4dae-8b8f-8c0371a6f2fd","year":2022},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.054669Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:fd7ab4a48c161fa9aa4c0ccb341587d0f490b5860c23a053a34968b527947abb","observation_id":"09d2c854-6c1e-4e86-bf08-0d16ce0914da","resolution":{"observed_at":"2026-08-07T05:20:42.351378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.339261Z","title":"A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey,","venue":null,"work_id":"231e457d-bc8b-47f7-af77-de9382ebd742","year":2023},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.057485Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:d63f17a96373aab106d2b42ad19dfece0d5dd1234a787a902d9cb531e2c6c608","observation_id":"1af2c0a3-0502-49bb-8a9c-5930dbdefbc3","resolution":{"observed_at":"2026-08-07T05:20:42.342590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.330076Z","title":"How does machine learning change software development prac- tices?","venue":null,"work_id":"f47f3696-8f2d-43b3-a480-91fc28046de3","year":2021},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.060324Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:1e4cb2fee3f353603b085477f56e092810a3fb9646f494eb67585273c2f1ed36","observation_id":"6b01ca5e-9c31-473e-a44a-c91084423d1b","resolution":{"observed_at":"2026-08-07T05:20:42.333070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.320363Z","title":"Large-Scale Machine Learning Sys- tems in Real-World Industrial Settings: A Review of Challenges and Solutions,","venue":null,"work_id":"f994bb9e-6ce8-49d2-8aee-f59a6c18ece0","year":2020},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.063291Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:34cc52a8664dcaa7a78c8371e540f520bb65b59b468d1cc977ab63edae3745b2","observation_id":"b2ca9fd5-77b0-44fe-a1e8-c6dc95fe5258","resolution":{"observed_at":"2026-08-07T05:20:42.323829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.310761Z","title":"A Survey of Data Quality Requirements That Matter in ML De- velopment Pipelines,","venue":null,"work_id":"fbaea67b-9bda-45b1-b1ce-13cb224ddfba","year":2023},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.065964Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:0b7085e4242abe621311080f87653e4e376df633fc112caf1b41a310b37759e9","observation_id":"63ce1454-8c8b-4bb8-8464-45a007279ee2","resolution":{"observed_at":"2026-08-07T05:20:42.314094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.300999Z","title":"Data Pipeline Quality: Influencing Factors, Root Causes of Data-Related Issues, and Processing Problem Areas for Developers,","venue":null,"work_id":"333983c7-fae5-4d26-aa7b-317cd4c9aa78","year":2024},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.068797Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:cd07cd65d4ed8d056bf64d1fa1a8588e7d9c7399676f215d9a9874ac9958169d","observation_id":"e0ff8bfa-18a1-4b6a-a40b-096cdadaeb6f","resolution":{"observed_at":"2026-08-07T05:20:42.304155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.292066Z","title":"Trials and tribulations of developers of intelligent systems: A field study,","venue":null,"work_id":"ba2fe6ea-8891-4e69-94c0-3be1dedb392d","year":2016},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.071838Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:3794c611bc57e45a6ecbcb91a77a312d98e42add1d2fedc8556aa629812bdcef","observation_id":"7ec997bd-1ade-4058-8111-c8fc858eac09","resolution":{"observed_at":"2026-08-07T05:20:42.295135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.282639Z","title":"A model- driven, metrics-based approach to assessing support for quality aspects in MLOps system architectures,","venue":null,"work_id":"5796e561-f043-4831-b263-1e4ccbec44d6","year":2025},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.074617Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:1c059994069fb310e927995e9f00db2e01efc2a71eff971e146233e24d4bfa80","observation_id":"3b2d7528-805b-4db4-9b9c-9aefe5d603ab","resolution":{"observed_at":"2026-08-07T05:20:42.286038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.272482Z","title":"Verschuren and H","venue":null,"work_id":"8c8659f2-17e0-437f-ac7e-72b2e9d441d6","year":2010},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.077497Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:a7e82aff6a7343d46a366c79347c756c977b3d694730e46406b53fa3522372c5","observation_id":"bdadb18b-0b99-4e95-8254-c3369d77bcfc","resolution":{"observed_at":"2026-08-07T05:20:42.275718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.262638Z","title":"Fenton and J","venue":null,"work_id":"65ed8f49-20f6-4c79-b17a-92b2642b1135","year":2014},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.080381Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:9d495d9293d315dfeda0d6ae1e5ec93bba44eda6e47d61b002efdc4c0af6a82e","observation_id":"0e56ac4b-05e3-4dab-87bc-7d2de8e31642","resolution":{"observed_at":"2026-08-07T05:20:42.265722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.252632Z","title":"Continuous Delivery for Machine Learning,","venue":null,"work_id":"d18629eb-e19c-40e6-ad62-eb87ed54658b","year":2019},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.083547Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:87a71ad2fe8145ff2d9f33d6b7f7f48de85c104fa22eda801f60dd86b909eef8","observation_id":"49b573f6-94ba-46ea-8dab-a8ea046cc631","resolution":{"observed_at":"2026-08-07T05:20:42.255993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.241114Z","title":"Finding a complexity measure for business process models,","venue":null,"work_id":"9b6bbc5d-504d-47bd-9393-b53d8bc646a4","year":2001},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.086365Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:fbb6bbe3514530d889958f764fa5bb851939fe8bc6dcb86106df5a91c9b51d02","observation_id":"992297bf-bff8-4174-8ecc-3b0987c6ee5c","resolution":{"observed_at":"2026-08-07T05:20:42.244209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.231335Z","title":"Complexity metrics for process models – A systematic literature review,","venue":null,"work_id":"f474563f-5526-4dc7-88f3-3ae85df19329","year":2017},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.089231Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:89047399dde0935d0150452c4996cc7a863d45bc41594610633b81f5723ed59d","observation_id":"2ace3e2e-c984-4410-9768-219d453d7700","resolution":{"observed_at":"2026-08-07T05:20:42.234585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.221715Z","title":"Systematic Review in Software Engineering,","venue":null,"work_id":"cf97609d-1938-476c-ba7f-19adb5e3a488","year":2012},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.091847Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:fd35caf539573364a7c3581e949a8895e455ab440fefb11622f5134bd527f5be","observation_id":"4d28b8b7-6165-43e4-85a3-9c384fadf43f","resolution":{"observed_at":"2026-08-07T05:20:42.224757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.212268Z","title":"Practices for Managing Machine Learning Products: A Multivocal Literature Review,","venue":null,"work_id":"f9e98d37-483e-4f7e-af2e-ec7efe566831","year":2024},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.094841Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:f2c3f18b4dfee7af60f480a9d05ffe35c35850bc9d35f53bf56857aef3d3e96e","observation_id":"bb237d42-b8c0-458f-ab16-ff8358e27c1c","resolution":{"observed_at":"2026-08-07T05:20:42.215345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.202201Z","title":"Big data qual- ity metrics for sentiment analysis approaches,","venue":null,"work_id":"b78114b7-3971-48a7-b099-2fa08cf32d48","year":2019},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.097867Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:b225f6810df6e1a4a4b6234e6f771d74bde481d12748132e74764d9f3fab42b7","observation_id":"abe2d10a-8d85-4534-b246-f64fd5cd3dcd","resolution":{"observed_at":"2026-08-07T05:20:42.205968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.192228Z","title":"Ontology Develop- ment 101: A Guide to Creating Your First Ontology,","venue":null,"work_id":"e2b87686-faf4-4312-821f-1dd6c492844f","year":null},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.100901Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:d4cb8772b0173c3df29f46bb7ace543e5abef795cc94ecb11e61917bc72e6bdd","observation_id":"c88b04c4-a197-410e-be3f-ef60acf42f77","resolution":{"observed_at":"2026-08-07T05:20:42.195463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.182348Z","title":"Selecting Empirical Methods for Software Engineering Research,","venue":null,"work_id":"c75fbd80-69fc-4100-8071-d27b8f972f47","year":2008},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.104084Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:71e6a61814179a2994fee3a7375e4c3bfd86ed9fd5378eac75066a02aa0df553","observation_id":"5c2620e1-d156-43af-889e-18f53890d864","resolution":{"observed_at":"2026-08-07T05:20:42.185531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.172540Z","title":"SPIRA: Building an Intelligent Sys- tem for Respiratory Insufficiency Detection,","venue":null,"work_id":"3958912b-ded0-4fc2-af75-1e15b819bf09","year":2022},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.106988Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:b92994051c0ebfe2c7a7c05edd54d9b3e70393ddfe728b36a55e2a69d4b34133","observation_id":"ecad97c4-aec4-4aa3-8307-375c2567d982","resolution":{"observed_at":"2026-08-07T05:20:42.175815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.163355Z","title":"Requirements and Reference Architecture for MLOps: Insights from Industry,","venue":null,"work_id":"0d4a5d43-60ef-4a3e-a138-7acdebccb77d","year":2023},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.110144Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:cb15f9914c78179c2a6c2a7d1633fdac182f0d880e0efa00e58f8b3bf35be25f","observation_id":"086e3081-f280-4443-a937-0bcf4bb6b0f1","resolution":{"observed_at":"2026-08-07T05:20:42.166375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.153852Z","title":"Wohlin, P","venue":null,"work_id":"8304dc2a-a663-412e-8c1d-47fd4b5eeb34","year":2012},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.113097Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:062a3a50891dac767ec8a2ace0f20bd70029fef5979847cf99c840e4a10490dc","observation_id":"869e70b0-926a-4f9b-add1-20e7f26c5114","resolution":{"observed_at":"2026-08-07T05:20:42.156954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:20:42.141326Z","title":"MLOps in Practice: Requirements and a Reference Architecture from Industry,","venue":null,"work_id":"a23f0e2a-f89f-42fb-ae08-5a555f20ac63","year":2024},"citing_paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:42.115989Z"},"links":{"citing_paper":"/paper/2506.08153"},"observation_digest":"sha256:c4cee2f67d1c184fe8b5efe80211324242db3bb7469cb014263e2cb8011df2f6","observation_id":"3f480620-c27f-4118-91b3-ea7dae1210e7","resolution":{"observed_at":"2026-08-07T05:20:42.146457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.08153","last_updated":"2025-06-09T19:02:19Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-07T21:53:40.770498Z","submitted_at":"2025-06-09T19:02:19Z","title":"A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":29},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"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."}