{"as_of":"2026-08-18T22:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed0b5fbc49a7850c062380505b377eb513c2f32b6ac259186c47f3158ee95b0f","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T21:16:13.354682Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2411.08981/citation-record","integrity":"/paper/2411.08981/integrity","json":"/paper/2411.08981/citation-record.json","paper":"/paper/2411.08981"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:16:14.065896Z","title":"Al-Khalifa, and Abdel Magid Hamouda","venue":null,"work_id":"6396731b-1a7f-4ad0-949c-538da88fc1f0","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.122938Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:b4c5b48a10078aa4d3fada18a2eb80dd010a7fea842c5489e2e18584b391c47f","observation_id":"adfbd636-a6b4-479c-bebf-7fa1fa3a824b","resolution":{"observed_at":"2026-08-12T21:16:14.069422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16754","last_updated":"2025-02-12T23:28:07Z","snapshot_observed_at":"2026-08-16T14:23:23.234754Z","submitted_at":"2024-01-30T05:22:45Z","title":"AI Oversight and Human Mistakes: Evidence from Centre Court","version":3},"cited_work":{"arxiv_id":"2401.16754","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.16754","snapshot_observed_at":"2026-08-12T21:16:13.411303Z","title":"AI Oversight and Human Mistakes: Evidence from Centre Court","venue":"cs.LG","work_id":"2e11b326-e993-4485-bead-5dbdc45e7408","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.127069Z"},"links":{"cited_paper":"/paper/2401.16754","citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:8d30d8fd6c907ede139b2b867401fce8751ac1f0c0a3b2722a6b27c8a993c96c","observation_id":"244a4072-8775-42f1-ba70-f546640608d9","resolution":{"observed_at":"2026-08-12T21:16:13.416702Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:14.057048Z","title":"Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods","venue":null,"work_id":"aa859c25-cb69-4ac3-9670-25e61c4f0095","year":2014},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.130529Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:4ea5bec371fb228e30287da86ac228cfb2b617e91319a6689b973e39a6c843df","observation_id":"b45ecd7e-22f1-44fb-82dc-f7a10b75b4c1","resolution":{"observed_at":"2026-08-12T21:16:14.060389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:14.047878Z","title":"AI systems trustworthiness assessment: State of the art","venue":null,"work_id":"39b8140a-e025-4172-a06f-3ec6ab9417e1","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.133945Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:571387597edef34ff55c1c67e7d7bc8833a0a5ea4bf9fb70988d1621b3c99495","observation_id":"952e475c-c136-4ba2-9e30-0a9575d058bf","resolution":{"observed_at":"2026-08-12T21:16:14.050933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:14.039401Z","title":null,"venue":null,"work_id":"3a154542-69a7-4670-97f1-4d13f4b57562","year":2014},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.137150Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:3e0c549c115f18583ef85a11cee338c688e6bfd27b0381479e94b2463a3e8b79","observation_id":"24ee3a3e-da1a-45ed-a4dd-d7d2c0cc4ab4","resolution":{"observed_at":"2026-08-12T21:16:14.042146Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:14.031196Z","title":"Kilr Ayyub, Bilal M","venue":null,"work_id":"1fc03e6e-49db-4201-9a65-cbca7f1f99ab","year":2015},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.140442Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:eaf679668f3eed0db18ac94024178465770d4d58cc06d7b34ef4b9f3e8665a00","observation_id":"1238e0c6-17f8-4330-9286-6c53ff38a733","resolution":{"observed_at":"2026-08-12T21:16:14.034151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.09794","last_updated":"2024-06-22T20:17:22Z","snapshot_observed_at":"2026-08-16T13:52:18.327675Z","submitted_at":"2024-05-16T03:52:00Z","title":"Human-AI Safety: A Descendant of Generative AI and Control Systems Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.09794","snapshot_observed_at":"2026-08-12T21:16:13.143777Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.143777Z"},"links":{"cited_paper":"/paper/2405.09794","citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:325b052c6c32fe68ba207eaad13e54fd7415d11bdc1bcc9860dca470f63ebca6","observation_id":"512c8a5f-b354-4e8a-8e51-edb76631ef8d","resolution":{"observed_at":"2026-08-12T21:16:13.143777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:16:14.022809Z","title":"The human error in algorithms and its implications for human rights","venue":null,"work_id":"c2730058-72b8-4ac5-ab0b-2ed871e5b9f9","year":2020},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.147027Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:0192d50d9f9f7973b5a48c6d8ee8a23a6536556ac1a0e37487cfe5599792353d","observation_id":"12727bcf-8644-4c66-a76c-802a1feb833a","resolution":{"observed_at":"2026-08-12T21:16:14.026055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:14.014304Z","title":"Bastani and I.-R","venue":null,"work_id":"e5102b20-5d28-4302-bffc-51fe1a1065cb","year":1990},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.150273Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:9605c069c7feb0764112289e4caf172d60ed7ecf593218570c94b210fd3cdc44","observation_id":"9e8025a1-e8e4-468f-9f2f-0f8f73f56057","resolution":{"observed_at":"2026-08-12T21:16:14.017605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:14.005105Z","title":"Probabilistic Risk Analysis: Foundations and Methods","venue":null,"work_id":"bcf5dc18-8543-4de9-9c74-eef4b2aa9770","year":2001},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.153295Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:fa6b41519913d47ea222a62531d142dd6c6f401bd64d97ba62f69e02b3ff4034","observation_id":"c15ccb15-7e67-448b-9eb3-318d217bddd1","resolution":{"observed_at":"2026-08-12T21:16:14.009063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.995413Z","title":"Reliability Engineering","venue":null,"work_id":"972b636e-c3b2-48a2-b1a4-24419f3bcd84","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.156460Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:ce274ca5ff40ce215ecbfc2b7ec989055227be19362b12e20b4bcfe6a69c4891","observation_id":"2d8c0a21-24ed-4178-b648-0311c469ae60","resolution":{"observed_at":"2026-08-12T21:16:13.999494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06701","last_updated":"2024-12-03T00:53:17Z","snapshot_observed_at":"2026-08-16T14:36:12.980406Z","submitted_at":"2023-12-10T04:14:56Z","title":"Dynamic Adversarial Attacks on Autonomous Driving Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.06701","snapshot_observed_at":"2026-08-12T21:16:13.159454Z","title":"Dynamic adversarial attacks on autonomous driving systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.159454Z"},"links":{"cited_paper":"/paper/2312.06701","citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:e5dcefe285df1d6d7b692106d9790150d8d045393c0a61219567e7dda04203ab","observation_id":"cbdcfbac-775e-40bf-b1ae-3578b1529af9","resolution":{"observed_at":"2026-08-12T21:16:13.159454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:16:13.986601Z","title":"AI system development: Cnil’s recommendations to comply with the gdpr","venue":null,"work_id":"636ebf7b-5abd-40ee-ae48-8bf4d2523da7","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.162583Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:52c169b2746ea73173d47f5d14a92f55ef3ec7e504685eb680ff74e3dd5c6272","observation_id":"240b585d-3185-444f-851d-07e3a71a4d37","resolution":{"observed_at":"2026-08-12T21:16:13.990075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.977418Z","title":"Collins, Matthew Barker, et al","venue":null,"work_id":"9cd1f342-4bf0-4bbf-832b-36195b93aa64","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.166169Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:a5ca35a0dbfe34a445654e2d6df8437456a5431723a3569673ffe2ddadf716dd","observation_id":"ebad8472-3fb9-4e1e-ae70-33bca1e15bc4","resolution":{"observed_at":"2026-08-12T21:16:13.981331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.967831Z","title":"Ethics guidelines for trustworthy ai, Report / Study | Publication 08 April 2019","venue":null,"work_id":"0270dd80-7001-4bec-a4a9-b8a8aefbd3b6","year":2019},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.170172Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:f1244e95aedac6135a2cd8adba33dd7dc307bc19b61958f4b3b1de4d3041d98d","observation_id":"b05c69d9-f61e-4ca9-9109-728564b8ba4d","resolution":{"observed_at":"2026-08-12T21:16:13.971940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.959287Z","title":"Explicit deepfake images of taylor swift elude safeguards and swamp social media, January 26, 2024","venue":null,"work_id":"27e5c7d0-67c5-4be4-8163-ecbff5a9a176","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.173110Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:5ed8d323c933039bf0fe0df05f440ad90ffdae1698592ae23f79806d2484a8b0","observation_id":"768bca0a-7c45-48a5-8883-de363e26b460","resolution":{"observed_at":"2026-08-12T21:16:13.962389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06624","last_updated":"2024-07-08T13:35:00Z","snapshot_observed_at":"2026-08-16T16:31:21.993356Z","submitted_at":"2024-05-10T17:38:32Z","title":"Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06624","snapshot_observed_at":"2026-08-12T21:16:13.175976Z","title":"Towards guaranteed safe AI: A framework for ensuring robust and reliable AI systems","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.175976Z"},"links":{"cited_paper":"/paper/2405.06624","citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:8a462ba4c556d40a588bb670a217fc22733f4365552221912c0b584d51184f15","observation_id":"15b86539-34cb-4a65-8411-3a82dfdf44df","resolution":{"observed_at":"2026-08-12T21:16:13.175976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:16:13.950443Z","title":"Scalable watermarking for identifying large language model outputs","venue":null,"work_id":"88ce6e15-cad1-42e7-b5ab-c0fcb67536fa","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.179714Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:e7923cae76794c468e78c9dfb836f926fd7e66c1b08ff286e35c9a1fb637ad25","observation_id":"3ff3462d-d380-4563-a283-d9dab722aa1a","resolution":{"observed_at":"2026-08-12T21:16:13.953689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.941895Z","title":"Reimagining self-adaptation in the age of large language models, 2024","venue":null,"work_id":"c7bcb11d-7efb-4afb-9bf4-11946b6235ee","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.182715Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:32edfdf1a1fe8c38fb4ffa850fe25985ee3158d933b3fd3a3594964197729f39","observation_id":"6365c0de-795a-4810-b6c2-849b99fe60a2","resolution":{"observed_at":"2026-08-12T21:16:13.945051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.933103Z","title":"Connecting the dots in trustworthy artificial intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation","venue":null,"work_id":"a9fc6077-e196-40d4-9032-127efde3defe","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.185666Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:21ebbacfbd9584c07fc75a6c76fe2c88b6a401dd67b0c123fbed078596182fb6","observation_id":"4f77c6a4-dbd6-4a33-befb-2850f7bbe583","resolution":{"observed_at":"2026-08-12T21:16:13.936532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.924249Z","title":null,"venue":null,"work_id":"8d7b7259-1a5d-496c-b9a8-b8840e17a4e0","year":1997},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.188534Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:fbb719a5a015ae00b272a28694e1443da7d0273619b69a53871b66e0c8702522","observation_id":"60ad9b85-4b40-4424-8171-f49d96b062f1","resolution":{"observed_at":"2026-08-12T21:16:13.927178Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.916173Z","title":null,"venue":null,"work_id":"a0634139-fc00-47a4-ba34-6ccf6289a452","year":1995},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.192284Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:f6e1e438d47d2d33b2ede9e9c92ff9cde07e4a843564e853144ad77bb7bd64b9","observation_id":"dcf11adc-1102-485b-bbcb-7acce2a15f52","resolution":{"observed_at":"2026-08-12T21:16:13.919015Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.907720Z","title":"Economic impact of resilience investments in critical infrastructure systems","venue":null,"work_id":"e6c26bc6-358c-404c-b87b-085bee9c8213","year":2020},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.195177Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:e87e53d23cff990aed8b0297f7e95c59aa4669e27bb2715457f7df264b634117","observation_id":"b2ec7b68-b966-40de-9856-53ffb82be3b2","resolution":{"observed_at":"2026-08-12T21:16:13.910970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.899070Z","title":"The ai risk repository: A comprehensive meta-review, database, and taxonomy of risks from artificial intelligence, 2023","venue":null,"work_id":"b841597e-c9e3-4c42-91cb-ea6aabc6bea3","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.198216Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:e81fa97c77554388a051b0ebac3fd52e3ec4c76f863b88c1f5877c6a15ffdbca","observation_id":"d88c0324-a914-4019-980e-1b8b9304a0fb","resolution":{"observed_at":"2026-08-12T21:16:13.902233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.889734Z","title":"Compl-ai framework: A technical interpretation and llm benchmarking suite for the eu artificial intelligence act, 2023","venue":null,"work_id":"2a9e7c0a-a359-451c-9cd8-b8ef189384c7","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.201182Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:f508d8c52da65fda49cdd483bbf78d8d03ba89f479fd104145614198db5921b7","observation_id":"39a139dc-9fb1-4680-82af-eb95eff387cf","resolution":{"observed_at":"2026-08-12T21:16:13.893033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.880724Z","title":"Designing resilient and sustainable systems","venue":null,"work_id":"bdf7e0df-259d-4a46-a278-5ed62d88d625","year":2003},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.204348Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:54d06147c9d0970a779bb7a1f447121e72d7497ce10e1ef63612760cad4e20cc","observation_id":"a995e711-c9a4-4fb3-8d15-509baf8b8232","resolution":{"observed_at":"2026-08-12T21:16:13.884180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.871842Z","title":null,"venue":null,"work_id":"0a164892-6fdc-49ef-993e-ae8694f0eec0","year":2010},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.207336Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:df239996c0591ce45019c7f0197145ae35930abae9f9467e2a108d2a5c65f6b6","observation_id":"02c91f90-6113-4e87-90aa-7c86db4d0fea","resolution":{"observed_at":"2026-08-12T21:16:13.875077Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.861013Z","title":null,"venue":null,"work_id":"92a07379-7e75-40fc-8724-c1ab5faecb8a","year":2012},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.210733Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:85b24b8422ba06076e96dba8ae43d86e738ac03bc934fffb9aaaa8b0a6b50f05","observation_id":"33091323-a60c-485a-b9a9-74345c856cc3","resolution":{"observed_at":"2026-08-12T21:16:13.864772Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.850484Z","title":"On the democratic role of news recommenders","venue":null,"work_id":"6cfbcf07-d4e6-4898-b8d3-d7f45ada1047","year":2019},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.214170Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:c62e1adecea795e08924a77ba357467e0d0c977811785c5425f11c9065f4adf6","observation_id":"6865d9f5-ba83-4c83-8676-30a9ede6b5bd","resolution":{"observed_at":"2026-08-12T21:16:13.854426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.841964Z","title":null,"venue":null,"work_id":"5114ac60-1f11-4f70-b165-89577c710758","year":2009},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.217355Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:dbb0e071cc29e5b25b8db8401e23e4f7edd42bd785953950e3e52ae5433636a4","observation_id":"561080fb-f28b-49a3-9742-bfa363533681","resolution":{"observed_at":"2026-08-12T21:16:13.845014Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.833088Z","title":"Woods, and Nancy Leveson","venue":null,"work_id":"23dae8ac-1acd-4807-83ec-312bdbe3f297","year":2006},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.220319Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:605da5f40310165418f665263b1ec2f89199536fd4c17cd02d0200c30093b62e","observation_id":"3df550cb-6efe-48af-9b51-57adf0d581b1","resolution":{"observed_at":"2026-08-12T21:16:13.836021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.823833Z","title":"Woods, and Nancy Levensen","venue":null,"work_id":"b9d9609d-563e-4b31-97e3-921167a183b2","year":2006},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.223644Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:8d13ea61c6d9f89240014f11bf10740ea1c0a18b8fb3c48c1a788143e4ec01c5","observation_id":"c725697e-9860-4c3d-8889-0a5bbc18a85c","resolution":{"observed_at":"2026-08-12T21:16:13.827694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.815966Z","title":"Freeman, and Xinwei Deng","venue":null,"work_id":"e85f98c3-4711-4a14-96d4-a786c18e6fb8","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.226606Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:16da577c04d9a77b9cae61be116177e8ce0dd5157fa2b76ea6c8d2f643c8340b","observation_id":"301a62ae-261e-4ba4-b056-c528cdb25579","resolution":{"observed_at":"2026-08-12T21:16:13.818825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.807444Z","title":"King, and William Q","venue":null,"work_id":"82873141-45c3-4276-9cb8-d9331189837d","year":2021},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.229519Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:85ef70f5dc911495760c2bffb2b6061fc5ffa7115fb937f7307f032f10a95d14","observation_id":"407493b9-f971-4d42-ad83-9ad37aa7574f","resolution":{"observed_at":"2026-08-12T21:16:13.810586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.798441Z","title":"Accelerated life testing (ALT) design based on computational reliability analysis","venue":null,"work_id":"766a1d32-d84c-447a-8070-ac81d0a3e1bd","year":2017},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.232468Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:72960f49203e427291e0a43d4fcade242860a79e2a53d4a0a856d275335191fa","observation_id":"d775d44e-31eb-4675-afa9-435ba64b866f","resolution":{"observed_at":"2026-08-12T21:16:13.801415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.789120Z","title":"Advancing modern code review effectiveness through human error mechanisms","venue":null,"work_id":"1f1a27ea-37cb-4f8f-99c8-d21ce8bac227","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.235386Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:102292bc37071255bcc932654943d33fa74805df358faebf612a5e000d60b6e6","observation_id":"ea92aac7-1bea-4996-8a42-5fc54d0507ba","resolution":{"observed_at":"2026-08-12T21:16:13.792399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.778650Z","title":"Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities","venue":null,"work_id":"c18dff70-c98a-43af-88c4-29647e21caa1","year":2022},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.238293Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:9df308ab9b70a840886509c5a7fe1a9c32960212b47b36d3de527f4667266205","observation_id":"cc5cccfa-ac3e-4028-ad31-151818913845","resolution":{"observed_at":"2026-08-12T21:16:13.782881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.770275Z","title":"Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities","venue":null,"work_id":"f0a9307f-3a2f-4f5e-9a74-6b9bc96136d1","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.241149Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:d22213698a7c951470e46109b439292ba0cc358461a1e79284591529db84e987","observation_id":"e40fa6ed-1f90-41b9-b247-b717498d90b5","resolution":{"observed_at":"2026-08-12T21:16:13.773322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.760792Z","title":"Failure modes in machine learning, 2024","venue":null,"work_id":"4669a6e9-6932-4bc3-988c-6b4a22157bf6","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.244153Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:999bc8b205f5e08f550ef38592c04eaeae36a815fbaa2630b3dc2760ab801e69","observation_id":"14b8e8db-80c1-4170-aaec-90ad68d433e0","resolution":{"observed_at":"2026-08-12T21:16:13.764136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.751605Z","title":"AI safety on whose terms? Science, 381(6654):138, 2023","venue":null,"work_id":"52ccf535-e846-4808-b1fd-36ee82831d20","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.246835Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:a6c40d5ce696ca447e684c663e2e27c623fb8913a3e5069df42812f617f7e40c","observation_id":"0e40c5ce-b028-41b7-879f-1719bc5b1751","resolution":{"observed_at":"2026-08-12T21:16:13.754731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.742909Z","title":"Should artificial intelligence have lower acceptable error rates than humans? Insights into Imaging, 14(1):79, 2023","venue":null,"work_id":"4b6705b0-3746-4731-932b-9020605ba43d","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.249775Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:daa56cd670ee78470b30a92ee7277953bbb87f8246a5ae7312249a042b6650e1","observation_id":"0a3c0411-2b3f-4ea6-9ea4-069b3a58afd0","resolution":{"observed_at":"2026-08-12T21:16:13.746272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.734613Z","title":"Chatgpt-like large-scale foundation models for prognostics and health management: A survey and roadmaps, 2023","venue":null,"work_id":"677d267c-db9e-4a56-bb09-d0a56ca2527d","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.252715Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:4a0c7205bde0ad131421fdf483f162b5a11d987edaabfecc75b0f6bd08e45995","observation_id":"eea67ce1-b1c2-4d1d-bedb-1649e842e0eb","resolution":{"observed_at":"2026-08-12T21:16:13.738042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.724944Z","title":"Artificial intelligence index report 2024, 2024","venue":null,"work_id":"c0242ca6-8262-48b6-b1cc-4fc00d81ebd6","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.256450Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:1871b3e3d2c86f22896481d90a4c5a0b1fb577a3fea4417079a663bfd209d7e2","observation_id":"2841807f-349b-4aa6-9e76-2db11f3bc5b6","resolution":{"observed_at":"2026-08-12T21:16:13.728266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.715620Z","title":"Software reliability growth models predict autonomous vehicle disengagement events, 2018","venue":null,"work_id":"a882f5b4-400b-40de-951f-d74cb9fbce83","year":2018},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.259778Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:57e8084bd0ad29078cb2b08e8d98b7427c99876131616b3a8b17b84658da2e5d","observation_id":"ea14bcdc-4da9-4e95-8293-357eaf5c5d76","resolution":{"observed_at":"2026-08-12T21:16:13.719098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.705109Z","title":"The ai incident database as an educational tool to raise awareness of ai harms: A classroom exploration of efficacy, limitations, & future improvements, 2023","venue":null,"work_id":"5276ebe0-9242-478f-87e6-bc4d703bdc47","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.262457Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:6a5157598e72ec93ade940705bdf26fd981f2b2fd9e587ccc188facd1a3fdc37","observation_id":"5f37e95e-1fa6-42fe-a229-8b3c1dd24ca2","resolution":{"observed_at":"2026-08-12T21:16:13.708506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.696363Z","title":null,"venue":null,"work_id":"5828ca0b-436e-4f29-8fe4-c02537a45fc9","year":1987},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.266229Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:8a34145bb835639f60f9b111b96fa0b654a087a260155f72f0bd2d7ba7c638cc","observation_id":"c9cbfce3-e294-43d8-b2f5-2a28e8cf3df6","resolution":{"observed_at":"2026-08-12T21:16:13.699475Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.687425Z","title":"A family of software reliability models with bathtub-shaped fault detection rate","venue":null,"work_id":"e5ff89da-8e18-4d24-9457-779c36e64c5d","year":2021},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.269977Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:921fbfbe0543f28907cb547545b3eeea71ae579e55747605df32b887e7fa2b03","observation_id":"1da2d63b-ea0f-4188-99e4-0843b29509da","resolution":{"observed_at":"2026-08-12T21:16:13.690749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.678346Z","title":"Nasa human reliability analysis handbook with an emphasis on nuclear power plant applications","venue":null,"work_id":"2c429e99-83f1-47df-9974-9383e77fab07","year":2000},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.273814Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:726e885d11f14ffe216ffda65b0d263025c55e1b1357c4e2aff8fbf7daa9e85b","observation_id":"0b86136b-468e-44e4-9244-c20224ce9a05","resolution":{"observed_at":"2026-08-12T21:16:13.682118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.669517Z","title":"Collision between vehicle controlled by developmental automated driving system and pedestrian","venue":null,"work_id":"f85114fe-86f5-43c7-a752-e9adde2bc63d","year":2019},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.277324Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:c41bae318790396641368cc163ca34b105cecc4378a88f43162e8b1147f5cf97","observation_id":"b0290883-9155-4653-9b4d-34582415f2e2","resolution":{"observed_at":"2026-08-12T21:16:13.672543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.661129Z","title":"Talking to bots: Symbiotic agency and the case of tay","venue":null,"work_id":"39513813-4bf7-429b-8ece-0626247ab962","year":2016},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.280950Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:218c775a42b538002d2beb17511591090294e6b3770e8968645fd67a79219b32","observation_id":"c4ffc8b0-bd1a-4176-983e-52f8a5816e0d","resolution":{"observed_at":"2026-08-12T21:16:13.664470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.652749Z","title":"The Filter Bubble: What the Internet Is Hiding from You","venue":null,"work_id":"1079c3f6-15cd-466e-8882-2af3f21c0bb5","year":2011},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.283583Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:b2605d5997be19c2cd3d4d2046e29ae5f13131060624308d2715f9e45dd26f4b","observation_id":"ffcaf25e-5f34-4546-90f2-38cb7705bd16","resolution":{"observed_at":"2026-08-12T21:16:13.655816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.07280","last_updated":"2022-11-14T11:21:30Z","snapshot_observed_at":"2026-08-16T16:16:25.255458Z","submitted_at":"2022-11-14T11:21:30Z","title":"A taxonomic system for failure cause analysis of open source AI incidents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.07280","snapshot_observed_at":"2026-08-12T21:16:13.287150Z","title":"A taxonomic system for failure cause analysis of open source AI incidents","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.287150Z"},"links":{"cited_paper":"/paper/2211.07280","citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:6177ffa39874a47ecc1a31b80d413afb1454cb89be049dc2bb85541beaa61891","observation_id":"e094da45-029e-40bf-93db-05619f887d9d","resolution":{"observed_at":"2026-08-12T21:16:13.287150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:16:13.644363Z","title":"How a portfolio approach to AI helps your ROI","venue":null,"work_id":"5940913b-21d9-4048-87e2-9fd7f01c9a34","year":2021},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.290648Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:b8a9098f4b4191df85b45c4a1246d24babbc5912e638997d0dd031715c04d134","observation_id":"a4a88393-10f5-41c1-9769-b0ac66e64715","resolution":{"observed_at":"2026-08-12T21:16:13.647422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.635019Z","title":"Solving AI’s ROI problem","venue":null,"work_id":"bbe5aa55-69a8-4765-8752-496cebef32e2","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.293660Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:83fc889fe3623fcf588ee6406f64b1e36d27d749f1b0b1f9fe2c468079e86096","observation_id":"43a2161c-7116-40fb-a812-36cf2b30152d","resolution":{"observed_at":"2026-08-12T21:16:13.638129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.625518Z","title":"Ramasso and A","venue":null,"work_id":"4bef1e10-2f9d-4737-9fc4-18aad83ccb15","year":2014},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.296581Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:6c317120f24b86a8f9d98babaf9d17ec6ce66ae62bd63ecdaa50a70d37f257a3","observation_id":"df383630-af73-4c3b-85d8-92e85701c9fe","resolution":{"observed_at":"2026-08-12T21:16:13.629078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.617436Z","title":null,"venue":null,"work_id":"bbe3f36e-1359-4190-b62b-cc7d40c928f4","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.299369Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:1fd4e94a3ad27c95e3258ca35243dcb7c7200f23625baea0d531302d5c7d2768","observation_id":"2164e930-4201-4a53-8507-07f7a0f22fdb","resolution":{"observed_at":"2026-08-12T21:16:13.620267Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.608641Z","title":"Pejtersen, and L","venue":null,"work_id":"00ffa5ce-98a7-40a1-9ce0-8420e44ed992","year":1994},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.302214Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:e416b649eb7857f9ca3f9f301946917721c8eed8b4b8b3f80e5ed3f61205fcda","observation_id":"9b1e954d-9cd9-4e44-a467-15b774d6a863","resolution":{"observed_at":"2026-08-12T21:16:13.611628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.597533Z","title":"Predicting software field reliability","venue":null,"work_id":"fb93602a-56ed-4211-97f8-8d1394bfdd29","year":2015},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.305292Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:9d20f735d7f2d8f3e4891fa50a42cc0dea053b01d58d88687a2f49bae5a6e372","observation_id":"197e1c01-b5a9-4b5d-b4ba-097d9f8b0a94","resolution":{"observed_at":"2026-08-12T21:16:13.601804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.585677Z","title":"A survey on cyber- resilience approaches for cyber-physical systems","venue":null,"work_id":"e7ac8dd6-d4ec-475d-9434-8e17b2c7eb0c","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.308203Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:a2dfe19d09263626c3cb259b96a6db44e38167513739ce7c8c96414a44afc1b4","observation_id":"55983c13-5a97-4da8-bbf0-5f48d7b6b189","resolution":{"observed_at":"2026-08-12T21:16:13.590642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.574953Z","title":null,"venue":null,"work_id":"782c1ca9-501d-4855-b84a-9f87a461fe79","year":2011},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.311228Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:c44d85e9425c339f714f0a640c3ba0fb173264d0ab969b29ec32d61b56ee8405","observation_id":"134c9752-ad10-43e4-9ee2-e5e134dd55f8","resolution":{"observed_at":"2026-08-12T21:16:13.578840Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.564022Z","title":"Cyber resilience in complex systems: An economic perspective","venue":null,"work_id":"097e248e-4776-42f6-bca0-5e8cd7301d4b","year":2021},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.314019Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:eb7ebfa2eb7ff0d39d5a8eaecbd56f84c7f9c1406ca77ec073791e49212efa6a","observation_id":"f48bd8cf-b4c3-46ee-a3ff-7c63faa2e28d","resolution":{"observed_at":"2026-08-12T21:16:13.568021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.551509Z","title":"A three-parameter fault-detection software reliability model with the uncertainty of operating environments","venue":null,"work_id":"676196b6-88a6-45b7-a932-7c8daadca541","year":2017},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.317177Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:f6bfc9822c692182b88940255008f7059c05ae1689cd03ca6a37b180e7a6e796","observation_id":"bfe8538e-13c8-4c00-9e26-ab42fe1e4ac4","resolution":{"observed_at":"2026-08-12T21:16:13.555754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.540606Z","title":"Stanton, Paul M","venue":null,"work_id":"2906032f-1686-4a78-a1e4-03fd549be82d","year":2017},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.320055Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:2ab6efd1d4261ab5f456c5c2ec036828932294315e8c01183d4a0c3f999230c8","observation_id":"1cf9d13f-e268-446a-b5b4-5cb640b2e832","resolution":{"observed_at":"2026-08-12T21:16:13.544377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.528641Z","title":"Condition monitoring using machine learning: A review of theory, applications, and recent advances","venue":null,"work_id":"8eddaae8-b226-40d7-a7f2-45617d89f0a6","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.322903Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:6c1593261701922da9664945effcba3d935407fefb7ad2a467795d8453f227c1","observation_id":"93574262-10e8-4a38-89ef-ac36540813e9","resolution":{"observed_at":"2026-08-12T21:16:13.533054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.517727Z","title":null,"venue":null,"work_id":"1dde141c-d6cf-4706-aedb-9f83b2c9b0fd","year":1983},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.325730Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:24c758da0b06f5a522cccbd28d124f4648131f407730bff0dda457fa847adc92","observation_id":"d89340f9-a60a-42cd-8b2b-644969124e2b","resolution":{"observed_at":"2026-08-12T21:16:13.521551Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.505817Z","title":"Artificial intelligence for safety and reliability: A descriptive, bibliometric and interpretative review on machine learning","venue":null,"work_id":"38eeaca1-8ac6-4272-9e6f-0ddadb722235","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.328428Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:857f3cfc73e87a67f4db589234e030728b1055e9fa8f4724d0d1ade2af9cb6bd","observation_id":"22489ed9-b106-48b3-8c52-e4da87cc9e9b","resolution":{"observed_at":"2026-08-12T21:16:13.509792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.493739Z","title":"AI-generated deepfakes flood social media amid political concerns, 2024","venue":null,"work_id":"044d1dcb-8432-4389-9a3e-4d81e137bac9","year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.331990Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:67bb3f9b50994aff79b8c74f60318d20cbef0aa056ab21cd1f04a650f27d5fe9","observation_id":"e3d34b02-a2f4-4315-bb32-be5d1c488ed9","resolution":{"observed_at":"2026-08-12T21:16:13.498500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.481803Z","title":"Fault diagnosis of the autonomous driving perception system based on information fusion","venue":null,"work_id":"e112bb4c-57bd-4ab3-aef7-002a3ea2e814","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.335025Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:d0a0b0656199891af8024ade3b64b69521998d113eb836f00d10b300aa33ed89","observation_id":"de293452-3fd0-4eb3-9691-74cb4750a70f","resolution":{"observed_at":"2026-08-12T21:16:13.485690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.469727Z","title":null,"venue":null,"work_id":"019b2fba-ad45-4d44-b5ec-915e3011b3c0","year":1998},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.337876Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:a4b655bc620e1d8157917c0d71a1798910e08401203d1e823a2c6eefb1693878","observation_id":"740fe8d8-a23e-4a10-bdef-76b8b9d6155b","resolution":{"observed_at":"2026-08-12T21:16:13.474364Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.458207Z","title":null,"venue":null,"work_id":"aad8d2e1-c45c-43d3-ac09-0c32fc13c050","year":1996},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.340835Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:5db4fc4c886c945ef15e3e0b8ed5104fba786fb65b1009ff9ddb34aac610aa46","observation_id":"d64d75be-ba83-42c1-9135-e2dd3ef335e6","resolution":{"observed_at":"2026-08-12T21:16:13.462670Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:16:13.344793Z","title":"Continual learning for large language models: A survey, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.344793Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:6980769f8fe9977d99b62706479ed79d772058e588f4924fc9b9d6459ef0b75b","observation_id":"933787cb-0246-408a-9924-eb38c593dc83","resolution":{"observed_at":"2026-08-12T21:16:13.344793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T21:16:13.442370Z","title":"Ng, Curtis P","venue":null,"work_id":"1f468ac2-2b2e-4157-b1d8-ccf291c07fc9","year":2023},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.348153Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:0e0804d993b1ac65e3354ac7730af4f20b3404147252dcfa0956f44b9ef8106b","observation_id":"47c349a3-a77e-4162-970f-0ac4f346e99a","resolution":{"observed_at":"2026-08-12T21:16:13.446655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.432640Z","title":"The Monte Carlo Simulation Method for System Reliability and Risk Analysis","venue":null,"work_id":"83719bc0-1f9b-4fee-a79e-6a93b0be7450","year":2013},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.351703Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:7c8f28405f46bba1a43ec153304411136724e7b0e9025c3932c66d9e2e59b71a","observation_id":"3da26a27-bf2c-4165-8644-c6b97afc6411","resolution":{"observed_at":"2026-08-12T21:16:13.436016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-12T21:16:13.423355Z","title":"bathtub curve","venue":null,"work_id":"bef3a7db-8ea7-4be4-bae4-750d8a8b7009","year":2022},"citing_paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-12T21:16:13.354682Z"},"links":{"citing_paper":"/paper/2411.08981"},"observation_digest":"sha256:be73f7502ae7355d592a5fbdd30b5eddbf3e6a02d5977a7600d805daac4a4957","observation_id":"dad4572f-ae06-4218-baad-dfb3fdca0d79","resolution":{"observed_at":"2026-08-12T21:16:13.426488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.08981","last_updated":"2024-11-13T19:16:44Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T22:18:55.127274Z","submitted_at":"2024-11-13T19:16:44Z","title":"Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":56},"total_outbound_references":74},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2411.08981."}