{"as_of":"2026-08-21T13:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e73cba52f80d4d6ad17c4c1a653502c78519f7e478720406da3237fa127e5529","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:46:43.510141Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.20621/citation-record","integrity":"/paper/2506.20621/integrity","json":"/paper/2506.20621/citation-record.json","paper":"/paper/2506.20621"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:46:45.916791Z","title":"A meta- summary of challenges in building products with ml components– collecting experiences from 4758+ practitioners,","venue":null,"work_id":"9f0aadc7-5c16-489f-abb7-9f70f21412aa","year":2023},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.612774Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:839db3b276a113f47b93fe0be2a108286f4e1f73717c2eb653f75b9c5fba87b7","observation_id":"ac461c2d-a819-4059-bdd5-442c724bdb40","resolution":{"observed_at":"2026-08-06T22:46:45.921393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:45.902134Z","title":"Lean inception: how to align people and build the right product,","venue":null,"work_id":"32329326-3ffb-49df-a4e0-1d77361867ed","year":2018},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.641169Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:f18336866f06b24588157aab2419622a0d6234fe0c0ca873fabb06c1769ff1ea","observation_id":"200a2a99-0bdf-4837-bdc9-ded7dd4a6dfa","resolution":{"observed_at":"2026-08-06T22:46:45.907049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:45.886814Z","title":"Status quo and problems of requirements engineering for machine learning: Results from an international survey,","venue":null,"work_id":"59a6adc9-0499-4d73-8ed4-f53607077768","year":2023},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.733589Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:44ff54a77f4ffcc4e55617d2c3d0836c2ccec22fc79e2d46c143d9e84d5fa93b","observation_id":"d72f6403-c3b7-4ff6-97f9-3256f67dfe99","resolution":{"observed_at":"2026-08-06T22:46:45.891238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04359","last_updated":"2024-05-20T06:59:20Z","snapshot_observed_at":"2026-08-17T04:37:00.065577Z","submitted_at":"2024-05-20T06:59:20Z","title":"Naming the Pain in Machine Learning-Enabled Systems Engineering","version":1},"cited_work":{"arxiv_id":"2406.04359","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.04359","snapshot_observed_at":"2026-08-06T22:46:43.585516Z","title":"Naming the Pain in Machine Learning-Enabled Systems Engineering","venue":"cs.SE","work_id":"3c99d34a-762e-457b-9a43-46bbaadb7299","year":2024},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.769625Z"},"links":{"cited_paper":"/paper/2406.04359","citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:c0b7c11901f5a9e8b319bfa2f2e5ddfa0af6ce663d321e8296a72a7acddc05f8","observation_id":"59c36f87-b45d-45ea-a2b1-ca94a321f475","resolution":{"observed_at":"2026-08-06T22:46:43.645532Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:45.719864Z","title":"A model for technology transfer in practice,","venue":null,"work_id":"cd2ae375-74f1-481e-ab0a-a84d507dcfbd","year":2006},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.818751Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:f4bfd69b05afe48750db4c0ff1baa2de314fcc18d2302de4ea75a91dd5cc2058","observation_id":"e3bb2436-6b27-435e-9b82-562573a28196","resolution":{"observed_at":"2026-08-06T22:46:45.848215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:45.609846Z","title":"Design thinking,","venue":null,"work_id":"c249e171-f175-450c-a3a2-7303fb37c582","year":2008},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.870590Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:00b0b57822ed62b1c18801fcf581c066f668d0e27cfc8c385f4167ea57e25a24","observation_id":"9c0f272e-6a31-44da-b0a5-b287b5a18d72","resolution":{"observed_at":"2026-08-06T22:46:45.654989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:45.428844Z","title":"Banfield, C","venue":null,"work_id":"7ba4c062-e899-4be7-bfc4-763dbc5b1c98","year":2015},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.941856Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:da9dc15a4a166f073791af41cbb22415c92ea25b76b2cfcc04b07e0357730b4f","observation_id":"f4d43fa8-e8ea-4e7e-9325-84112060fa27","resolution":{"observed_at":"2026-08-06T22:46:45.486993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:45.246683Z","title":"Ries,The lean startup: How today’s entrepreneurs use continuous innovation to create radically successful businesses","venue":null,"work_id":"91fee794-84a0-45e4-a224-35c1f8b1ccf9","year":2011},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:42.987115Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:592fb8ccd4c4d9820c894d2fa4f7d289c95adc94cf3c4c0d661aa03073049b19","observation_id":"caf09f20-e16f-4bfa-9210-034d474226ac","resolution":{"observed_at":"2026-08-06T22:46:45.321822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:45.076813Z","title":"Mix & match machine learning: An ideation toolkit to design machine learning-enabled solutions,","venue":null,"work_id":"6ef3b550-a1d8-47ea-b5c3-3b373c283b0f","year":2023},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.040585Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:14466eb3b27d982b5c7c4d6fddc5a05ad72d9d180002dfb1b66d7404d72eb2b7","observation_id":"1ac64cbb-08cc-4f58-8522-a53013e280dc","resolution":{"observed_at":"2026-08-06T22:46:45.150966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:44.896359Z","title":"Creating design resources to scaffold the ideation of ai concepts,","venue":null,"work_id":"aed58c63-074c-4117-ab21-0f169f3f9f31","year":2023},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.077546Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:2194bbc4c8172ba8a28786ebe15523c18abc6d842b5e926802af5c5f2544ecda","observation_id":"92ed3fc5-c004-4a72-b8b2-c15ad483d3e6","resolution":{"observed_at":"2026-08-06T22:46:44.969851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:44.748015Z","title":"Investigating how practitioners use human-ai guidelines: A case study on the people+ ai guidebook,","venue":null,"work_id":"954f9564-fe09-4955-b15e-894952d244cb","year":2023},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.127581Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:24a7768dd4aac02cd65e4d15e2843008c3b43d4191ae2ec93f14ead636349370","observation_id":"834735bb-8cf3-4a28-8d8f-2831ec613711","resolution":{"observed_at":"2026-08-06T22:46:44.836939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:44.611161Z","title":"Identify- ing concerns when specifying machine learning-enabled systems: A perspective-based approach,","venue":null,"work_id":"531b2ced-2a94-4873-8a3c-9fb356117024","year":2024},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.178868Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:e4f788fe65d1ce0ef18f4daaf41f916fd9d89b67aeea8d471df7e3d555dce57a","observation_id":"ae26f411-d8b3-4933-9f7d-ba7f6942e1f2","resolution":{"observed_at":"2026-08-06T22:46:44.650392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:44.420248Z","title":"A systematic mapping study and practitioner insights on the use of software engineering practices to develop mvps,","venue":null,"work_id":"9c8642f7-c517-4c04-9f3a-931d8cb12d8b","year":2023},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.212300Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:b9e5b5e6fd2e643c7fc5834b754c49ae9146a880eaa95a21ae2b58e65c1864fe","observation_id":"9913cd77-195b-4f27-a31c-75dcee9acf86","resolution":{"observed_at":"2026-08-06T22:46:44.530974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:44.308696Z","title":"Lessons learned to improve the ux practices in agile projects involving data science and process automation,","venue":null,"work_id":"96af7300-32a5-47a7-a584-95270ecd1610","year":2023},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.281134Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:f08bdffc562a787d39dd4c8295f13d20d769d621b2a497b9c7ae88bfc71088cc","observation_id":"8dcac52a-18c7-4ad4-aaf7-5b908caf5406","resolution":{"observed_at":"2026-08-06T22:46:44.353397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:44.065584Z","title":"Lean r&d: An agile research and development approach for digi- tal transformation,","venue":null,"work_id":"914daf2a-3784-49f3-8276-7fb1af0a195b","year":2020},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.335802Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:8ae3978c2e994b142cccd77737d4cc7a70e4124dc6752d5e66636a4b84f6c24b","observation_id":"e12c8b5c-cf40-47a7-866d-b9e12a0f9727","resolution":{"observed_at":"2026-08-06T22:46:44.143827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:43.980088Z","title":"Experiences applying lean r&d in industry-academia collaboration projects,","venue":null,"work_id":"d89f8e57-fd16-40c0-ac0d-bb0945234d23","year":2025},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.366481Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:cf5dbbcee0d72ddd5197b301bef15318e82c70b094ddc86a8d809e690957bd36","observation_id":"35d380d3-e6f4-4f0b-8ffa-49356c97eb13","resolution":{"observed_at":"2026-08-06T22:46:43.987328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:43.877660Z","title":"Runeson, M","venue":null,"work_id":"88e7e5d4-70ca-470f-b9b8-00d079297c58","year":2012},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.417778Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:d52c60090411293a78195cba7f6f1c9bafb68477eab6ec9d826f0645dc4ccf56","observation_id":"51d94b34-c21c-4af6-84be-6241c9d792ef","resolution":{"observed_at":"2026-08-06T22:46:43.921525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:43.780550Z","title":"The tame project: Towards improvement-oriented software environments,","venue":null,"work_id":"97ef4ac7-132c-4c54-bf63-4701e22ba3ed","year":1988},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.477617Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:3f31411067c4dc6edf66814ad676af900f56e7a9c37ca814dd5bbd9200942ef9","observation_id":"82dc71ca-852d-42a4-965c-2f3e2ff8dfe5","resolution":{"observed_at":"2026-08-06T22:46:43.820593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-06T22:46:43.681867Z","title":"Perceived usefulness, perceived ease of use, and user acceptance of information technology,","venue":null,"work_id":"ab4210e2-50cb-4f57-8855-604c2043be30","year":1989},"citing_paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:46:43.510141Z"},"links":{"citing_paper":"/paper/2506.20621"},"observation_digest":"sha256:e70706c95c38a35defa5ebb6cc15e98ef36be85d6a9517b3767de0ffdac5e150","observation_id":"ca3e4d24-f923-4050-a8fa-28a377ae1cce","resolution":{"observed_at":"2026-08-06T22:46:43.717744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.20621","last_updated":"2025-06-25T17:11:26Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-17T07:54:03.233754Z","submitted_at":"2025-06-25T17:11:26Z","title":"Define-ML: An Approach to Ideate Machine Learning-Enabled Systems"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":1,"verified_fuzzy":18},"total_outbound_references":19},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.20621."}