{"as_of":"2026-08-17T18:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:30fe500c767046d384c86b9d64c1210fbf4dca049485ffe0f9beb48f4b757a85","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-23T01:00:18.977777Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:35:56.073124Z","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":"2026-08-15T20:35:56.136176Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"cited_work":{"arxiv_id":"2503.05571","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.05571","snapshot_observed_at":"2026-08-15T20:35:56.136176Z","title":"Compliance of AI Systems","venue":"cs.CY","work_id":"b3b4a09c-15ad-4966-8f88-aa2c5c71fbec","year":2025},"citing_paper":{"arxiv_id":"2505.12490","last_updated":"2025-08-28T20:13:32Z","snapshot_observed_at":"2026-08-17T00:58:48.187939Z","submitted_at":"2025-05-18T16:25:21Z","title":"Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T20:35:56.073124Z"},"links":{"cited_paper":"/paper/2503.05571","citing_paper":"/paper/2505.12490"},"observation_digest":"sha256:1950813aee42561d4dc9be32b98ade14a177466a8cfd9dd9c7690e5213ad6072","observation_id":"6e64f302-8e08-4e9d-8d5b-42c77da448da","resolution":{"observed_at":"2026-08-15T20:35:56.142201Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05571","snapshot_observed_at":"2026-08-03T10:03:09.202176Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.11702","last_updated":"2026-05-28T21:56:48Z","snapshot_observed_at":"2026-08-15T01:33:59.673339Z","submitted_at":"2026-01-16T18:56:39Z","title":"PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-03T10:03:09.202176Z"},"links":{"cited_paper":"/paper/2503.05571","citing_paper":"/paper/2601.11702"},"observation_digest":"sha256:c1edff0d79b42da97162c77b80161168f3c1add30623f9bbf6c106d2a35a1f1b","observation_id":"0b4d3b15-e990-4f9c-9ebe-f298b2530754","resolution":{"observed_at":"2026-08-03T10:03:09.202176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.05571/citation-record","integrity":"/paper/2503.05571/integrity","json":"/paper/2503.05571/citation-record.json","paper":"/paper/2503.05571"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.298612","doi":"10.1109/mitp.2020.2986121","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Artificial intelligence (ai) in agriculture","venue":"IT Professional","work_id":"fb3bf513-d196-4946-9d3e-8eacb3597187","year":2020},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:bb621b463ea1d843dbb0b221a9fb1539190e6848139e14efb98575e96dabbae4","observation_id":"6d8a3b85-d0ad-42c3-b3ae-f1e8fc8d3932","resolution":{"observed_at":"2026-05-23T01:02:20.057580Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3159.2021","doi":"10.1109/ghtc53159.2021.9612460","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ai-based crop rotation for sus- tainable agriculture worldwide","venue":null,"work_id":"84d4c70c-81a0-494b-9308-ac129313a572","year":2021},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:2da3fd1b87218d6b56c931ac4412459623231cbad20ecdfe4e3d84cb204ae201","observation_id":"e3d1145d-12c3-46af-8fde-a74625bf0bd8","resolution":{"observed_at":"2026-05-23T01:02:20.111187Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/electronics12163489","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Safe and trustful ai for closed-loop control systems","venue":"Electronics","work_id":"b79d4329-09c4-4d13-b002-6e95b148f1fc","year":2023},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:557f44cdf6a3c5caf528b3adfe5c46eaf755bcebc8e1cc1d51355a7533529f86","observation_id":"b80f188f-aa2c-4a23-8850-19164c4ba9d8","resolution":{"observed_at":"2026-05-23T01:02:20.043870Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4846.2022","doi":"10.1109/coins54846.2022.9854938","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Overview of closed-loop control systems and artificial intelligence utilization in greenhouse farming","venue":null,"work_id":"1dc5a7e4-2c28-44bb-a152-e26485caaece","year":2022},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:9ef4b10407f0b134710803f1c29c7590ba5e91b0f96b1843897792e40a92b7f2","observation_id":"09644e6c-ab5b-4618-81e8-2325905cbe41","resolution":{"observed_at":"2026-05-23T01:02:20.069948Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.visinf.2024.06.002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ava: An automated and ai-driven intelligent visual analytics framework","venue":"Visual Informatics","work_id":"ef30ebc1-dae1-4439-aad2-33b16c2571e7","year":2024},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:5c6136d2d3e219ab5f8c9a0a6baa868370ca04857b4c50a42afc4e7e955afe57","observation_id":"f9e48fe5-5ae2-47a3-a7a4-44cb57b94e84","resolution":{"observed_at":"2026-05-23T01:02:20.121446Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1515/itit-2014-1072","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Visual analytics for video applications","venue":"it - Information Technology","work_id":"b8fef9e5-c0c8-4c3d-9951-423a412de9fd","year":2015},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:0781d1c5f3c1a50617f8f074fb0e38f872bbe66350ab703930602c1d566718dc","observation_id":"8c5c8c43-27da-4809-819e-f541924d417f","resolution":{"observed_at":"2026-05-23T01:02:20.131674Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.347446","doi":"10.1109/tits.2024.3474469","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Explainable ai for safe and trustworthy autonomous driving: A systematic review","venue":"IEEE Transactions on Intelligent Transportation Systems","work_id":"c272a034-1ca0-42b8-9b14-111660d840f1","year":2024},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:fdd06349078c7d892a683e5c572793030b6a840ac690c67591cf5ea8e2bb45e2","observation_id":"b8fe687d-3d26-42f5-b9b1-3fbee9969ac6","resolution":{"observed_at":"2026-05-23T01:02:20.064236Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.hspr.2024.01.002","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A review of artificial intelligence applications in high-speed railway systems","venue":"High-speed Railway","work_id":"d50bec31-ec7b-445c-9ea5-da8ea4db071b","year":2024},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:34c86cdda44206175fd615cfe07b7d39acdd17d1ffe4d3e832938967e7589f51","observation_id":"b99f5fa8-de4d-4246-a231-f4ac5afe762b","resolution":{"observed_at":"2026-05-23T01:02:20.099969Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9519.2020","doi":"10.1109/ice/itmc49519.2020.9198436","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A framework for the implementa- tion of artificial intelligence in business enterprises: A readiness model","venue":null,"work_id":"d78ed149-96ae-47d1-aa98-4ca999b9559f","year":2020},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:489031956dca80f345b7f6cb4bed7a21beaed0778301b01d3c33c1e5bdcb2782","observation_id":"81a933bf-90b5-4fb3-b9d8-adf6e0fbba6b","resolution":{"observed_at":"2026-05-23T01:02:20.078997Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00146-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T08:11:49.843791Z","title":"Drivers Behind the Public Perception of Artificial Intelligence: Insights from Major Australian Cities","venue":null,"work_id":"80d907c6-47ae-4834-9127-0fbed0d8c24b","year":2024},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:50536fd6db746bcfc9b612bf71a680a4f628d067f7356f43c8ef14bff46a7861","observation_id":"a303b0c0-32c9-4845-bbfa-d377a5564c99","resolution":{"observed_at":"2026-05-23T01:02:20.104915Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.353094","doi":"10.1109/emr.2025.3530942","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Managing ai-first products: Roles, skills, challenges, and strategies of ai product managers","venue":"IEEE Engineering Management Review","work_id":"751ba73f-ebc0-48f5-bf3b-34bdc5d297c3","year":2025},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:bc2d7777f600f4205889f7a7708213fd600f82cbb063872ab8602839d3fd980c","observation_id":"c4e6094d-d581-4358-82c2-f09e7ce27571","resolution":{"observed_at":"2026-05-23T01:02:20.117616Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11948-017-9901-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Artificial intelligence and the ‘good society’: the us, eu, and uk approach","venue":"Science and Engineering Ethics","work_id":"d4ba32e7-408c-463c-83e2-51b93fd69a53","year":2017},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:d27f8c48c0e99a4ffada7aa84088b6f33f7a77db4b37b9fa540efba29d51813d","observation_id":"3bedd2a5-ec99-4be2-b5c1-c0260724401c","resolution":{"observed_at":"2026-05-23T01:02:20.095535Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s13347-019-00378-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In ai we trust incrementally: a multi-layer model of trust to analyze human-artificial intelligence interactions","venue":"Philosophy & Technology","work_id":"e32ad329-1a2d-4c75-b1e6-f799b84de04b","year":2019},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:87b4761e46803089bc64f383438966abc492f070665d8c1011ad54b2ca3e8616","observation_id":"141e7ce5-a3c1-4e37-93fc-20715eeb6c1f","resolution":{"observed_at":"2026-05-23T01:02:20.136070Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"8605.2020","doi":"10.1109/ijcnn48605.2020","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bayesian neural networks uncertainty quantification with cubature rules","venue":null,"work_id":"79965938-b771-4e64-aff9-668810f65873","year":2020},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:c8e8d42d34cee37531dcdaa5aedd7fe04ede599464d54131cba146d225a78c6f","observation_id":"bb0eafd7-890d-4f51-b22a-11a7f0784f41","resolution":{"observed_at":"2026-05-23T01:02:20.051262Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-05T21:23:00.469572Z","title":"(2020) White paper on artificial intelligence: A european approach to excellence and trust","venue":null,"work_id":"06ce13bb-336e-40b9-9e8d-535bd911d0e3","year":2020},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:1890824b0126170406bb8f6f33388d67bedd0e9bb9c936c07250b685dc472cd2","observation_id":"5626c77f-cbc5-4afe-a20a-7adf53959302","resolution":{"observed_at":"2026-05-23T01:02:21.371448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-05T21:23:00.469572Z","title":"Argumentative xai: A survey","venue":null,"work_id":"39fc292b-bf2e-47dd-a8e8-b3de3115974b","year":2021},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:b888aafaea9ae91f54eb7398ea9029fda7ad32231628b2a31d54d8ba77366217","observation_id":"eed33278-1fa6-4237-8c6a-d21a6f20e901","resolution":{"observed_at":"2026-05-23T01:02:21.363371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-05T21:23:00.469572Z","title":"Ai-in-the-loop – the impact of hmi in ai-based application","venue":null,"work_id":"60807bf9-549a-436e-8bc0-51bf41ffe66c","year":2023},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:b91bf123bf7d56cb904d1222cb699f16a69727969314588f33180a0f24213a85","observation_id":"04725381-2a2d-4433-a39a-b5df0e0fc0a0","resolution":{"observed_at":"2026-05-23T01:02:21.367258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-05T21:23:00.469572Z","title":"van Veen and S","venue":null,"work_id":"d801ac57-bb99-4573-b60f-1915309d269f","year":2019},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:4439750203f27d39e8801f9bc6c8953828d04b504a5e8659ce7b16f11b8511e0","observation_id":"5ab4533b-dc5b-4582-9b90-56bba2bd7a93","resolution":{"observed_at":"2026-05-23T01:02:21.359426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.100270","doi":"10.1016/j.cosrev.2020.100270","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A survey of safety and trustwor- thiness of deep neural networks: V erification, testing, adv ersarial attack and defence, and interpretability","venue":"Computer Science Review","work_id":"9dce75f8-cc6e-47c5-94fa-208bde234071","year":2020},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:fd118d9ff1bf805450ef9f6b8b3df77dee31369c33ae842722fe45c839bff8e2","observation_id":"31988b97-e27e-4077-bbcc-4ccac56b7579","resolution":{"observed_at":"2026-05-23T01:02:20.085508Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.885193","doi":"10.1109/ijcnn.2019.8851936","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adversarial attacks on deep neural networks for time series classifica- tion","venue":null,"work_id":"a755bae3-6e21-464f-a0c9-74a7ebe9f8ac","year":2019},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:d7e075fec60c203981e70ca9924f8b1c8fd0f764ab094058ec650d88dc49d461","observation_id":"7042ae4b-bbf6-4209-b882-b49b8bbf3b9f","resolution":{"observed_at":"2026-05-23T01:02:20.091134Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18420/giljt2025","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Explainable and trustworthy ai compli- ance for farms","venue":null,"work_id":"15c7209f-8053-4b61-8e02-23bb71ba8bcb","year":2025},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:ea87d749a81b52c26c84c85ea07c60dbe03d84659ed5111e4b911488bf24bbb7","observation_id":"9ee2a629-48e6-49fe-b5cd-11633fcfd35e","resolution":{"observed_at":"2026-05-23T01:02:20.140397Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.10045","last_updated":"2019-12-26T08:09:25Z","snapshot_observed_at":"2026-08-15T10:39:50.041286Z","submitted_at":"2019-10-22T15:27:30Z","title":"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI","version":2},"cited_work":{"arxiv_id":"1910.10045","doi":"10.1016/j.inffus.2019.12.012","metadata_source":"pith","pith_arxiv_id":"1910.10045","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsi- ble ai","venue":"cs.AI","work_id":"d47d4c0c-7f58-4955-b6da-f2a5940ba35c","year":2019},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"cited_paper":"/paper/1910.10045","citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:24b1ae85dbff6181b6d5eedfc5d1c5ca399e1e287a9bdcb8e3a2cded44772f0d","observation_id":"9b9631a3-b75a-42c2-90a5-cbc6a12f7ec4","resolution":{"observed_at":"2026-05-23T01:02:20.146206Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-03T18:08:39.144682+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T18:08:39.144682+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-05T21:23:00.469572Z","title":"Hardin, Trust and trustworthiness , ser","venue":null,"work_id":"d6f50b48-82a0-4ef9-a7f8-cab2be8b01ed","year":2002},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:686cdb8ff449490ce44c15e0d51ca064496a825d1af34a96b13c1895a69c0c3f","observation_id":"4248703d-5540-4acd-8a85-2ff6dc3be2a9","resolution":{"observed_at":"2026-05-23T01:02:21.383950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"89ef4c75-502f-4b6e-96e8-e9773968726f","year":null},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:98b2f1896e60ca2e334cab26bcb9c4f830426fa72213ed0c4182fef1ea8626d0","observation_id":"bd47c963-9441-4e58-89ed-bc2f8fa03f0a","resolution":{"observed_at":"2026-05-23T01:02:21.375686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.109106","doi":"10.1016/j.compag.2024.109106","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Legal conform data sets for yard tractors and robots","venue":"Computers and Electronics in Agriculture","work_id":"c316d906-89f1-4909-a4d9-30db6bdd0fb9","year":2024},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:03a1254d8c00bd7a9a4bbe20eecfd88e725d0a51f4bcc4c2aa4ddc1a31f5f9e7","observation_id":"28ed95b8-c6e2-460a-8a02-be88272aa31a","resolution":{"observed_at":"2026-05-23T01:02:20.127309Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-06-05T21:23:00.469572Z","title":"Compliance of agricultural ai systems – app-based legal verification throughout the development","venue":null,"work_id":"81ba8d5a-94c1-411e-865f-2f56f54b3435","year":null},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:3a6c467a12160d443a6dc159c74b0a1b08898a9c08dc0280658f4f5d3b32a084","observation_id":"d1467331-eb1e-4cd6-a164-de7579ef8914","resolution":{"observed_at":"2026-05-23T01:02:21.379851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18420/giljt2024","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"doi: 10.18420/giljt2024 01","venue":null,"work_id":"65881893-33d7-4c91-82d1-a494fdffe106","year":2024},"citing_paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-23T01:00:18.977777Z"},"links":{"citing_paper":"/paper/2503.05571"},"observation_digest":"sha256:4916167e1a1b272781f4ba06165c9a06e0a0edc5111063f6c53c54e7d6ab5256","observation_id":"5a0a898f-17da-4400-9505-7577d5784e6f","resolution":{"observed_at":"2026-05-23T01:02:20.073549Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2503.05571","last_updated":"2026-04-20T12:22:46Z","latest_version":2,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-05T04:02:23.677920Z","submitted_at":"2025-03-07T16:53:36Z","title":"Compliance of AI Systems"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":18,"verified_fuzzy":6},"total_outbound_references":27},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2503.05571."}