{"as_of":"2026-08-20T00:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:db338a09d06bd26e5efced781146bc0c1c1862ffe85e943eb934162380565064","coverage":[{"denominator":144,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T15:07:34.166405Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2607.18548/citation-record","integrity":"/paper/2607.18548/integrity","json":"/paper/2607.18548/citation-record.json","paper":"/paper/2607.18548"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:25.643865Z","title":"The rise of agentic ai: A review of definitions, frameworks, architectures, applications, evaluation metrics, and challenges,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:25.643865Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:efda0d034615574a27241fd5c1c42aed65a5adbec6f004414839a83f1117ab79","observation_id":"eed54f08-46f9-4851-9086-2178b6bad17a","resolution":{"observed_at":"2026-08-01T15:07:25.643865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-01T15:07:25.693324Z","title":"React: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:25.693324Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:add6a42d0dd2b078357c3e179c01dedeb0e9d9ff55a15311bc739348a73a5158","observation_id":"29ea1aff-c9d0-4158-aff0-ccba96c45421","resolution":{"observed_at":"2026-08-01T15:07:25.693324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11366","last_updated":"2023-10-10T05:21:45Z","snapshot_observed_at":"2026-08-17T19:15:32.679249Z","submitted_at":"2023-03-20T18:08:50Z","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.11366","snapshot_observed_at":"2026-08-01T15:07:25.774730Z","title":"Reflexion: Language agents with verbal reinforcement learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:25.774730Z"},"links":{"cited_paper":"/paper/2303.11366","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:a36b7ea388f45c94281abca6fe4debf2fccb3f1d959d240a2ce4461af2f7c37a","observation_id":"3ff15bdf-db28-4753-aa64-026b538733fb","resolution":{"observed_at":"2026-08-01T15:07:25.774730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10601","last_updated":"2023-12-03T22:50:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T23:16:17Z","title":"Tree of Thoughts: Deliberate Problem Solving with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10601","snapshot_observed_at":"2026-08-01T15:07:25.950888Z","title":"Tree of thoughts: Deliberate problem solving with large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:25.950888Z"},"links":{"cited_paper":"/paper/2305.10601","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:53b65efd7c8f1963bd54117fd26b0a74165f4015791feefc5bed06fd629f8afb","observation_id":"e3666c3d-a269-4fa4-9442-4a346ab0dce6","resolution":{"observed_at":"2026-08-01T15:07:25.950888Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.137980Z","title":"Ai agents are breaking bad and CISOs aren’t ready,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.137980Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:5bab003c96879f3672faeebdf767ac3cc1e9c46eecc900f9accac42c0b68f322","observation_id":"afbdfdf0-2a95-4212-bd97-858f8433e5a6","resolution":{"observed_at":"2026-08-01T15:07:26.137980Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.229930Z","title":"Are we sleepwalking into an agentic AI crisis?","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.229930Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:e1ba965972adf813ebae67e5b4698cab300bc9212acaf911e5f7a42a8ec6a943","observation_id":"78e2ae7a-66ba-4457-97e2-83f37662347a","resolution":{"observed_at":"2026-08-01T15:07:26.229930Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.296826Z","title":"Agentic ai: Autonomous in- telligence for complex goals—a comprehensive survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.296826Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:c651b572a6a98656e23afc589fcc7168d11d842b02f4929d07721936c8d463ea","observation_id":"f8ee91e7-e474-4003-b05e-57257c5c08e7","resolution":{"observed_at":"2026-08-01T15:07:26.296826Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.379272Z","title":"Design of a web-based platform to leverage matlab functionality for digital engineering,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.379272Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:227e1ac84bbc3586f6fd0a88a29cebc18e430718db2ce7da57452b71fa415848","observation_id":"55aaac19-cb84-4e2c-aad3-7c93633f941a","resolution":{"observed_at":"2026-08-01T15:07:26.379272Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.494172Z","title":"Agentic ai systems: Opportunities, chal- lenges, and trustworthiness,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.494172Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:3ffa68682479052fbab023b4fbfb6ea67d622532d253b75488c666d5a76d9701","observation_id":"2ad2858f-e911-49db-a7ff-de5e1aa5c4c6","resolution":{"observed_at":"2026-08-01T15:07:26.494172Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.632512Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.632512Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:e5bb5d9d88d27e11cb7ed305a30b73fb84b03414fc6dd312a358a4dedcdcd57a","observation_id":"55427993-4747-44bf-9b65-a42935ae5fd3","resolution":{"observed_at":"2026-08-01T15:07:26.632512Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.698201Z","title":"Constrained policy optimization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.698201Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:02fbedb4f13bb753024336e0774dc79534c5952726e79ba9c8e741d4b0a85b80","observation_id":"5d452d1a-988a-454a-a4aa-a152cd150285","resolution":{"observed_at":"2026-08-01T15:07:26.698201Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.761814Z","title":"Iec 61508 & functional safety,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.761814Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:cd9834a82c47d51716600b89f10712a4fade097c1b6457dbc19fd95679cb4e5e","observation_id":"6ce72652-4f2a-425b-9d7e-5840bc3c2c80","resolution":{"observed_at":"2026-08-01T15:07:26.761814Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.891469Z","title":"Towards deep learning models resistant to adversarial attacks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.891469Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:4351aec6f4e15c91f523c49a7888e3744c12ddf4cc8d8a2b5993e566dcc21ebe","observation_id":"6592657e-0294-4770-83d0-38b361f13db9","resolution":{"observed_at":"2026-08-01T15:07:26.891469Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:26.993060Z","title":"(n.d.) Failure modes effects analysis (fmea)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:26.993060Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:c2001bf1da268ae0d01e999cd1cdf9408a3fcca20e02dddf72388908608e85e0","observation_id":"d22ed434-9b8e-44d1-aeea-334a5893963f","resolution":{"observed_at":"2026-08-01T15:07:26.993060Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.065393Z","title":"(2020) ASEMS toolkit: FMEA/FMECA","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.065393Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:d0546d33e603e35197dffe405636ea73b55c3124cf89b698724fcfc8a343f720","observation_id":"b0ba4ef5-3de6-4bcb-ada2-b388cd80bbe1","resolution":{"observed_at":"2026-08-01T15:07:27.065393Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.104138Z","title":"Explainable ai (xai): Core ideas, techniques, and solutions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.104138Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:e7eabd66bb8363bdfff3d68e3af41445b80bbeae6489d3800cc801a346f23ed6","observation_id":"a3fd77dc-33c6-480a-976f-7056b9fde82b","resolution":{"observed_at":"2026-08-01T15:07:27.104138Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.187369Z","title":"Explainable brain tumor classification using transfer learning of deep convolutional neural networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.187369Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:226e207a24ba7519512e46d61ea537cd3bc982adda59075788842f0a7c44a9a2","observation_id":"1cfbce71-6a64-49ea-8c7b-57a61475b23d","resolution":{"observed_at":"2026-08-01T15:07:27.187369Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.245612Z","title":"AI Pact: Organisations’ commitments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.245612Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:5437004083a85198e91b959352f7955700be613890af72b66230a4b7cd6696d0","observation_id":"80616c9b-da1a-4dd5-91d8-e7da443416c7","resolution":{"observed_at":"2026-08-01T15:07:27.245612Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.343801Z","title":"Closing the ai accountability gap: defining an end-to-end framework for internal algorithmic auditing,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.343801Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:e92d172f6061154beaa536422b2d0e6543e23a2275759a5e6c845f68c8b8c6ea","observation_id":"56b7d535-7871-46bd-8515-53ee9c8dc9d3","resolution":{"observed_at":"2026-08-01T15:07:27.343801Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.432775Z","title":"(2025, May) AI act compliance checker flowchart (v1.0)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.432775Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:cc977511d502094b28bafe1efee225342fcd8f4b5a2df9d820bf5b24a7a816c9","observation_id":"05ef7da0-a365-4362-89d9-0d8c6ae3fce0","resolution":{"observed_at":"2026-08-01T15:07:27.432775Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.534921Z","title":"Deep learning with differential privacy,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.534921Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:84d82ff08fc6ec718c26cf78c54dc78e185ac4f6d2c789fa0d4c03dc9e92c69e","observation_id":"9a858bc1-c8c8-46ff-92da-a621c5fdb6c4","resolution":{"observed_at":"2026-08-01T15:07:27.534921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12001","last_updated":"2023-10-09T22:57:01Z","snapshot_observed_at":"2026-08-19T07:39:47.083802Z","submitted_at":"2023-06-21T03:35:06Z","title":"An Overview of Catastrophic AI Risks","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12001","snapshot_observed_at":"2026-08-01T15:07:27.573721Z","title":"An overview of catastrophic ai risks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.573721Z"},"links":{"cited_paper":"/paper/2306.12001","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:3b0509afdad82f98265a79acd0e65f11da715859c001b11a93bc1648f8934a30","observation_id":"85e056c6-167c-4cca-9508-728cd3e89f89","resolution":{"observed_at":"2026-08-01T15:07:27.573721Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.651634Z","title":"(n.d.) What is ISO 26262 functional safety standard? Synopsys, Inc","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.651634Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:8c85db824bba7f41f15eab370206c27eb26fd45067c4f3263769533b500bde58","observation_id":"f2c1dc15-1964-404a-89a8-b27d192862d3","resolution":{"observed_at":"2026-08-01T15:07:27.651634Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.765596Z","title":"Tamper-resistant safeguards for open-weight llms,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.765596Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:702fa6396b8cda81ad282af0b95a570a71e175fd809cd53a26d6ebb00df3ec1d","observation_id":"73cd001f-c079-4fed-b4cb-f59eee2cdfb1","resolution":{"observed_at":"2026-08-01T15:07:27.765596Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:27.948229Z","title":"Testing robustness against unforeseen adversaries,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:27.948229Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:2bcc9f76d12662d7b92861dc630fb6c7d28de6765759faeda0e162ed3277a045","observation_id":"d1bf584f-5dff-4813-955f-c53f41429875","resolution":{"observed_at":"2026-08-01T15:07:27.948229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04313","last_updated":"2024-07-12T16:51:07Z","snapshot_observed_at":"2026-08-19T15:15:09.617421Z","submitted_at":"2024-06-06T17:57:04Z","title":"Improving Alignment and Robustness with Circuit Breakers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04313","snapshot_observed_at":"2026-08-01T15:07:28.026819Z","title":"Improving alignment and robustness with circuit breakers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.026819Z"},"links":{"cited_paper":"/paper/2406.04313","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:83cdf7b99937b5f78c16fb79ffc116b176a969f0abf07e961d53f5eec1a80588","observation_id":"d51ae933-b9c6-4f95-9fc7-80af8bbe18f8","resolution":{"observed_at":"2026-08-01T15:07:28.026819Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:28.104932Z","title":"Representation engineering: A top-down approach to ai transparency,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.104932Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:4f2f55e17c84274ad71047c17d41ca89b18e896b659a39372f726cdc69e31883","observation_id":"c34465ab-cbe2-4edf-87cb-fd35384fa66b","resolution":{"observed_at":"2026-08-01T15:07:28.104932Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.16380","last_updated":"2026-06-10T21:26:48Z","snapshot_observed_at":"2026-08-12T22:31:22.515020Z","submitted_at":"2025-10-18T07:34:31Z","title":"MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.16380","snapshot_observed_at":"2026-08-01T15:07:28.185507Z","title":"Morebench: Evaluating procedural and pluralistic moral reasoning in language models, more than outcomes,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.185507Z"},"links":{"cited_paper":"/paper/2510.16380","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:58b50098cec44d18344a2edda638b0598f484f3af3026ac4e72a92d92ccf7324","observation_id":"879ff7f4-cd92-4337-9fb4-252e83d91a91","resolution":{"observed_at":"2026-08-01T15:07:28.185507Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:28.297895Z","title":"Zero trust for ai systems: A reference architecture and assurance framework,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.297895Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:e97bfc119c6bafb4512565c6a40031f9e73e177dc7f8b9d3b32d786a6424f536","observation_id":"9aec211c-1799-4f11-9fac-46dd7789c704","resolution":{"observed_at":"2026-08-01T15:07:28.297895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15043","last_updated":"2023-12-20T20:48:57Z","snapshot_observed_at":"2026-08-12T09:06:50.363435Z","submitted_at":"2023-07-27T17:49:12Z","title":"Universal and Transferable Adversarial Attacks on Aligned Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15043","snapshot_observed_at":"2026-08-01T15:07:28.388468Z","title":"Universal and transferable adversarial attacks on aligned language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.388468Z"},"links":{"cited_paper":"/paper/2307.15043","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:7349fe525911ed9cafc6d2be63357bf7e5ce48360ebccca3292443a810dec664","observation_id":"45bf992c-e74a-4d44-9112-39f37d968901","resolution":{"observed_at":"2026-08-01T15:07:28.388468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03218","last_updated":"2024-05-15T19:16:09Z","snapshot_observed_at":"2026-08-15T06:18:34.739211Z","submitted_at":"2024-03-05T18:59:35Z","title":"The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03218","snapshot_observed_at":"2026-08-01T15:07:28.466673Z","title":"The wmdp benchmark: Measuring and reducing malicious use with unlearning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.466673Z"},"links":{"cited_paper":"/paper/2403.03218","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:0d8056a5b31497ab640e9270627db8e5283804d1a3098d74712758e390003e69","observation_id":"c79df1d3-dd20-4564-a0fb-0deeba884e9a","resolution":{"observed_at":"2026-08-01T15:07:28.466673Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:28.543154Z","title":"One step away from a massive data breach: What we found inside MoltBot,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.543154Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:d070c4099d0c026e8a7fda1cff725b4c5691a4e28956b510b3ca111944bdb1f7","observation_id":"d488a078-1535-4515-968b-088cab4c69b0","resolution":{"observed_at":"2026-08-01T15:07:28.543154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10003","last_updated":"2023-12-15T18:20:15Z","snapshot_observed_at":"2026-08-19T00:16:57.115468Z","submitted_at":"2023-12-15T18:20:15Z","title":"ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10003","snapshot_observed_at":"2026-08-01T15:07:28.624570Z","title":"Rest meets react: Self-improvement for multi-step reasoning llm agent,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.624570Z"},"links":{"cited_paper":"/paper/2312.10003","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:762d8087d1b1821535afa95e6b8c421a23221a105c7e1f5db6c7c62d3d0dddd0","observation_id":"a194edc7-af73-4ddd-8eb2-ca258a572d92","resolution":{"observed_at":"2026-08-01T15:07:28.624570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14283","last_updated":"2024-07-22T10:01:49Z","snapshot_observed_at":"2026-08-20T00:12:19.026293Z","submitted_at":"2024-06-20T13:08:09Z","title":"Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.14283","snapshot_observed_at":"2026-08-01T15:07:28.704221Z","title":"Q*: Improving multi-step reasoning for llms with deliberative planning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.704221Z"},"links":{"cited_paper":"/paper/2406.14283","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:82748bf6ecc649d7045ea59c979fd758b09d4d7f9699dd86f28099a918721668","observation_id":"690d9359-25a2-45b1-ac17-5f455d648fac","resolution":{"observed_at":"2026-08-01T15:07:28.704221Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:28.777913Z","title":"Deepseek: Revolutionizing ai with open-source reasoning models -advancing innovation, accessibility, and competition with openai and gemini 2.0,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.777913Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:c5d56b10b9650932b7107fdcdb444f4c1380691efe98797c41d1ea919e9c176d","observation_id":"a260d016-06e4-47c2-8d73-8c3225e3a17f","resolution":{"observed_at":"2026-08-01T15:07:28.777913Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:28.837643Z","title":"(2026) Reasoning model practical guide: Enterprise comparison and deployment strategies for deepseek r1, openai o3, and gemini 3","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.837643Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:94094c510b8ae572c7612d04e65b57ac80e2c3e1c4eab0b52555331f64130472","observation_id":"199f5a44-5320-4323-9192-1a1ef8115e05","resolution":{"observed_at":"2026-08-01T15:07:28.837643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17760","last_updated":"2023-11-02T17:34:57Z","snapshot_observed_at":"2026-08-16T08:17:30.538734Z","submitted_at":"2023-03-31T01:09:00Z","title":"CAMEL: Communicative Agents for \"Mind\" Exploration of Large Language Model Society","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17760","snapshot_observed_at":"2026-08-01T15:07:28.904841Z","title":"Camel: Communicative agents for","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.904841Z"},"links":{"cited_paper":"/paper/2303.17760","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:9f9e2b89fdd4e7b9712a18108f3fbdb290500da618c16a4aa0fccb95aefc4a76","observation_id":"ef463495-76f7-4aa8-af2b-d9ec83391b82","resolution":{"observed_at":"2026-08-01T15:07:28.904841Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:28.975225Z","title":"A survey on llm- based multi-agent systems: workflow, infrastructure, and challenges,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:28.975225Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:cc4b592629857d4bd069db70fa35b8bc13395380c85997bfdbb3fa951b6560ed","observation_id":"4383b36c-dffd-41c5-99ec-208cc30fc6b0","resolution":{"observed_at":"2026-08-01T15:07:28.975225Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04761","last_updated":"2023-02-09T16:49:57Z","snapshot_observed_at":"2026-07-06T14:50:07.491434Z","submitted_at":"2023-02-09T16:49:57Z","title":"Toolformer: Language Models Can Teach Themselves to Use Tools","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04761","snapshot_observed_at":"2026-08-01T15:07:29.017783Z","title":"Toolformer: Language models can teach themselves to use tools,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.017783Z"},"links":{"cited_paper":"/paper/2302.04761","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:5853e9a7c3a9082b82f728ac38e5d9117e772b216b0493f77ce3cb7d66029747","observation_id":"250aff44-c049-44b0-bd8d-35fd1adbb12a","resolution":{"observed_at":"2026-08-01T15:07:29.017783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16291","last_updated":"2023-10-19T16:27:03Z","snapshot_observed_at":"2026-08-13T16:55:46.498156Z","submitted_at":"2023-05-25T17:46:38Z","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16291","snapshot_observed_at":"2026-08-01T15:07:29.147948Z","title":"V oyager: An open-ended embodied agent with large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.147948Z"},"links":{"cited_paper":"/paper/2305.16291","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:1c5b8a92da82a386db9325829a8d74150d8b0f57edb308a000d451342bf9bfa0","observation_id":"6535072d-a579-48cd-9bdb-472e9c6b580d","resolution":{"observed_at":"2026-08-01T15:07:29.147948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.06328","last_updated":"2026-04-19T04:36:29Z","snapshot_observed_at":"2026-08-12T15:26:42.432255Z","submitted_at":"2026-01-09T21:59:31Z","title":"C-World: A Computer Use Agent Environment Creator","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.06328","snapshot_observed_at":"2026-08-01T15:07:29.251699Z","title":"Toolgym: an open-world tool-using environment for scalable agent testing and data curation,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.251699Z"},"links":{"cited_paper":"/paper/2601.06328","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:96fcc955b68adeec72139b65035072ca44216af5735e0a5996186d1e303c3791","observation_id":"97482563-8c14-4f86-901e-e40b02d901b3","resolution":{"observed_at":"2026-08-01T15:07:29.251699Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.296645Z","title":"A comparative study of modern AI frame- works based on architecture, integration, and scalability,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.296645Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:26ffbfbfae2e589d3e81a7606ea9a9cd90aad9af7d0b90d20eb157dfe51f26db","observation_id":"91ee1c12-a703-4d15-a8a5-a515ad78520b","resolution":{"observed_at":"2026-08-01T15:07:29.296645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.385580Z","title":"Langchain v0.3,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.385580Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:4fba02f425ee7b7b2856674695f66ce04821be8ff7f7c56a1ba5cd03b2867150","observation_id":"63bfe82a-b43f-4c17-8cae-2ba6699945b1","resolution":{"observed_at":"2026-08-01T15:07:29.385580Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.443997Z","title":"(2026) Building managed agents on the Gemini Enterprise Agent Platform","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.443997Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:ea212287672edac5210150971bd582e60878f8cb6601c46c6444e9614535987c","observation_id":"93a57d70-d8e1-48da-8ac9-244aec849b91","resolution":{"observed_at":"2026-08-01T15:07:29.443997Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.483933Z","title":"(2026) Building managed agents with the Gemini API","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.483933Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:507a9f2eb435d71df320da27fa02ca249ec9ffee749c1cab0bc611ea3dcc4266","observation_id":"15a0ffaa-de80-405b-862f-66a9d159a832","resolution":{"observed_at":"2026-08-01T15:07:29.483933Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.631938Z","title":"(2026) Interacting with managed agents on the Gemini Enterprise Agent Platform","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.631938Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:684d31a10cf3df1e7e904c3cb68dda564201c421e643cee487c28b1ecdb607a4","observation_id":"b3c3f7ac-460a-4dd6-8806-e454a303d950","resolution":{"observed_at":"2026-08-01T15:07:29.631938Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.756854Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.756854Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:f8cf69d67e755eb9e0123cb5e56ce2a273520ddf0a077bb8e1a8b4514dc00f43","observation_id":"336b1976-83dd-4691-bb12-287647956911","resolution":{"observed_at":"2026-08-01T15:07:29.756854Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.868246Z","title":"Trustworthy agentic ai: A survey and taxonomy of secure coordination and hallucination mitigation in multi-agent large language model systems,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.868246Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:db285df2ae65f4a7652e961f75cb18196f250799e92d43a5c4b5d6a948f2e132","observation_id":"a4459437-d1fc-4c27-80cc-3592d845c198","resolution":{"observed_at":"2026-08-01T15:07:29.868246Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:29.983344Z","title":"(2024) Inside the push to standardize communication between AI agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:29.983344Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:2dea67ae98a3bb6b4d0c9a2990d2884b4c538e9e916a99037b3ec423c32f661b","observation_id":"4d8197c0-d1c7-4b7e-b709-ca38098a8a8c","resolution":{"observed_at":"2026-08-01T15:07:29.983344Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:30.090507Z","title":"Enabling agents to communicate entirely in latent space,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.090507Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:96f405061d47b02555512e35f5acb03bcfc7ab4f260eb04486b6e0f9db1926c2","observation_id":"3c662c9c-6733-41f5-a621-4f2d8334a9fb","resolution":{"observed_at":"2026-08-01T15:07:30.090507Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:30.151471Z","title":"Thought communication in multiagent collaboration,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.151471Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:72ca82fcaf7d641618c864d33bac63c02fb35d6183a005efe71f8417f1649672","observation_id":"e8e45c67-d427-4cc2-ac44-fe4cdd4088fc","resolution":{"observed_at":"2026-08-01T15:07:30.151471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.14928","last_updated":"2025-07-20T11:55:26Z","snapshot_observed_at":"2026-08-18T08:27:17.777827Z","submitted_at":"2025-07-20T11:55:26Z","title":"Byzantine-Robust Decentralized Coordination of LLM Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.14928","snapshot_observed_at":"2026-08-01T15:07:30.277693Z","title":"Byzantine-robust decentralized coordination of llm agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.277693Z"},"links":{"cited_paper":"/paper/2507.14928","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:caa79354da2bb57b4c2c500221a97c903cb4d4582d0aa316c86ba8d511777dbc","observation_id":"50d59b5d-4c30-4616-b431-c5e29cb9e80e","resolution":{"observed_at":"2026-08-01T15:07:30.277693Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:30.363488Z","title":"Blockagents: Towards byzantine-robust llm-based multi-agent coordination via blockchain,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.363488Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:065e1df3d1bd6aa0955ebb4e50c7855b87f8b78e515e285d8133c44b0ae65ee5","observation_id":"86a5b96c-f387-4977-af2d-070fc0c0695d","resolution":{"observed_at":"2026-08-01T15:07:30.363488Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:30.431672Z","title":"Safety pretraining: Toward the next generation of safe ai,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.431672Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:3813b068e968dff24c05d6b8a02c9072de6c19f42e6e92bde8b66aed986c7d8a","observation_id":"055fcd7e-a8e1-462b-b3bf-681ecc93de75","resolution":{"observed_at":"2026-08-01T15:07:30.431672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.04235","last_updated":"2024-03-08T17:04:49Z","snapshot_observed_at":"2026-08-19T17:51:28.356488Z","submitted_at":"2023-11-06T08:50:29Z","title":"Can LLMs Follow Simple Rules?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.04235","snapshot_observed_at":"2026-08-01T15:07:30.546227Z","title":"Can llms follow simple rules?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.546227Z"},"links":{"cited_paper":"/paper/2311.04235","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:acc8777cd08f5f31e269e1af7c3357fc5ba5c22327cd755c027458ddfd697feb","observation_id":"2b098afd-c3ff-4a99-930e-ba9f277f83df","resolution":{"observed_at":"2026-08-01T15:07:30.546227Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:30.622248Z","title":"Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machiavelli benchmark,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.622248Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:d420fd054d064e2b96c895705f1d98ed680305fe3d3be7ba4795cd73eab27a83","observation_id":"411a9135-2b83-4438-afcf-67388786e03b","resolution":{"observed_at":"2026-08-01T15:07:30.622248Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08640","last_updated":"2025-02-19T06:48:30Z","snapshot_observed_at":"2026-08-16T12:58:16.280754Z","submitted_at":"2025-02-12T18:55:43Z","title":"Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08640","snapshot_observed_at":"2026-08-01T15:07:30.791455Z","title":"Utility engineering: Analyzing and controlling emergent value systems in ais,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.791455Z"},"links":{"cited_paper":"/paper/2502.08640","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:b81980a15d48982007988c39c297d7292723a64892a0f8eda8603ce81e50a044","observation_id":"1b318dda-50ea-4637-8c0f-1162d3574f24","resolution":{"observed_at":"2026-08-01T15:07:30.791455Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:30.873598Z","title":"Agentic AI: a comprehensive survey of architectures, applications, and future directions,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:30.873598Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:37b9050dfbef08ab6c2bf36fb1a94e3ecd4f571d982ee1f0b155ff7e8e2e62fb","observation_id":"c12090a3-00b7-4c0c-a422-238a4d9242bb","resolution":{"observed_at":"2026-08-01T15:07:30.873598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.04615","last_updated":"2023-06-12T17:51:15Z","snapshot_observed_at":"2026-07-06T13:19:12.109592Z","submitted_at":"2022-06-09T17:05:34Z","title":"Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.04615","snapshot_observed_at":"2026-08-01T15:07:31.047777Z","title":"Beyond the imitation game: Quantifying and extrapolating the capabilities of language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.047777Z"},"links":{"cited_paper":"/paper/2206.04615","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:76825b95ecbfb8d7a6e768c941695a149ea29e1719dcb1accd75a31eb0c27644","observation_id":"d7f9688f-8ad1-4dad-a598-bf4102aaa9ff","resolution":{"observed_at":"2026-08-01T15:07:31.047777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14249","last_updated":"2026-02-20T04:23:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-24T05:27:46Z","title":"Humanity's Last Exam","version":10},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14249","snapshot_observed_at":"2026-08-01T15:07:31.156707Z","title":"Humanity’s last exam,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.156707Z"},"links":{"cited_paper":"/paper/2501.14249","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:b1181bca72ccfdaf48b0ce0856f00e95096f932ef0ca06eb73a13072bd7940f6","observation_id":"a2eaa562-a705-460b-ad80-b271ec37b136","resolution":{"observed_at":"2026-08-01T15:07:31.156707Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09024","last_updated":"2025-04-18T14:30:31Z","snapshot_observed_at":"2026-08-16T05:17:43.289570Z","submitted_at":"2024-10-11T17:39:22Z","title":"AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.09024","snapshot_observed_at":"2026-08-01T15:07:31.248915Z","title":"Agentharm: A benchmark for measuring harmfulness of llm agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.248915Z"},"links":{"cited_paper":"/paper/2410.09024","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:67461852097b45de4d165c92faa7a6d7b34cec76788eb56e8b6c6fc4ab051be3","observation_id":"3d872964-bc73-41e2-ae80-dbe8e96ee5a9","resolution":{"observed_at":"2026-08-01T15:07:31.248915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.19301","last_updated":"2025-05-28T17:37:25Z","snapshot_observed_at":"2026-08-17T15:45:25.528699Z","submitted_at":"2025-05-25T20:21:55Z","title":"A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.19301","snapshot_observed_at":"2026-08-01T15:07:31.311738Z","title":"A novel zero-trust identity framework for agentic ai: Decentralized authentication and fine-grained access control,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.311738Z"},"links":{"cited_paper":"/paper/2505.19301","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:1104d7dd02dc11070801ab97ecd7a8a9fd53270285af3ef6e80e79bb91a8a776","observation_id":"e8642101-9b9b-4362-bdef-5a95a2f8652c","resolution":{"observed_at":"2026-08-01T15:07:31.311738Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.424962Z","title":"Generative ai for enhanced cybersecurity: building a zero- trust architecture with agentic ai,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.424962Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:96fd00ba3fdf09e0ac6d14b3acab4d2b69f905beae2d84f96190638f75783899","observation_id":"71f4ccb9-e3e5-49ce-b216-364015ad4522","resolution":{"observed_at":"2026-08-01T15:07:31.424962Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.473031Z","title":"The mask benchmark: Disentangling honesty from accuracy in ai systems,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.473031Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:1b75e05aa6574b45fc7a7337c9c5d4c436648ad5b0bd8aead00cb67b5f0f9a38","observation_id":"40a12a84-c1bd-4b87-b733-385892ab9952","resolution":{"observed_at":"2026-08-01T15:07:31.473031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04249","last_updated":"2024-02-27T04:43:08Z","snapshot_observed_at":"2026-08-16T09:07:20.265665Z","submitted_at":"2024-02-06T18:59:08Z","title":"HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.04249","snapshot_observed_at":"2026-08-01T15:07:31.533905Z","title":"Harmbench: A standardized evaluation framework for automated red teaming and robust refusal,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.533905Z"},"links":{"cited_paper":"/paper/2402.04249","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:fd386d436783b92e9f3defa3b873ea8875165fe2ee4bcfc0f70843a760989c54","observation_id":"8251470e-5d15-4a7a-ac51-cb351c07fd6b","resolution":{"observed_at":"2026-08-01T15:07:31.533905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.06132","last_updated":"2026-05-07T14:06:23Z","snapshot_observed_at":"2026-08-11T13:25:57.999910Z","submitted_at":"2026-04-07T17:43:18Z","title":"Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.06132","snapshot_observed_at":"2026-08-01T15:07:31.596913Z","title":"Claw-eval: Toward trustworthy evaluation of autonomous agents,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.596913Z"},"links":{"cited_paper":"/paper/2604.06132","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:d13eb996ac80072f3fb138e7f57e4d852270e63686ef8c305cda1d193e503bce","observation_id":"e754c177-9f83-470b-a6fa-020e9e772b72","resolution":{"observed_at":"2026-08-01T15:07:31.596913Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.660288Z","title":"Composable trust in agentic ai: Bridging architectural capability and system-level assurance,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.660288Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:8be9d872fa1494d6901a72d44218b36fdb88e4d06dea542113c2af5eb38fc385","observation_id":"a4d2a20f-589e-49f3-9ea6-da723c4656ed","resolution":{"observed_at":"2026-08-01T15:07:31.660288Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.722445Z","title":"(2025) RagaAI AAEF (Agentic Application Evaluation Framework)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.722445Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:87d6cccbe4b1e7afa38cd79c10c65f82f9f48b49fa4d2409f595377967a2eea0","observation_id":"45bf2504-a152-44a4-86ad-73423d08a4df","resolution":{"observed_at":"2026-08-01T15:07:31.722445Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.811645Z","title":"Whitepaper: Agentic application evaluation framework (AAEF),","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.811645Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:ae7ba373c53685f9d63dc38ee0cff8721ab87f1a1fae86ccde219a93c901df6e","observation_id":"09c9587d-bfb7-40c7-a75e-d9b6abe39501","resolution":{"observed_at":"2026-08-01T15:07:31.811645Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.869123Z","title":"Starkloff, S","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.869123Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:d9084784c318aa98a86a26f19404889dde188a03f028bdf5b2a57cd80397b5ce","observation_id":"c42336f5-3645-43ae-9c27-6004a2b6d27f","resolution":{"observed_at":"2026-08-01T15:07:31.869123Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.926006Z","title":"Morales Aguilera","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.926006Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:1f411c8d78177a50f6f5da202d1e0616025f73fdf03b400c8c8a95bd53971b57","observation_id":"5d4506c4-9a80-440f-b780-160d1972321a","resolution":{"observed_at":"2026-08-01T15:07:31.926006Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:31.987466Z","title":"(2025, May) MDR vs","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:31.987466Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:7a2516070d57a31f3adc5baad3d795dce4824fd7f4ca71c057ef5a969fef09db","observation_id":"c74c1519-b724-4d5e-b9fb-c6f5cbf83a5e","resolution":{"observed_at":"2026-08-01T15:07:31.987466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06703","last_updated":"2026-06-04T09:59:28Z","snapshot_observed_at":"2026-08-16T13:11:11.539278Z","submitted_at":"2024-10-09T09:13:38Z","title":"ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06703","snapshot_observed_at":"2026-08-01T15:07:32.048270Z","title":"St-webagentbench: A benchmark for evaluating safety and trustworthiness in web agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.048270Z"},"links":{"cited_paper":"/paper/2410.06703","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:7097a875c14c29757dd06b9345cf4606a8e14826ab8b534a6c4e7709de0eada2","observation_id":"d69327b1-aa31-4500-9623-1c1c07bd6f15","resolution":{"observed_at":"2026-08-01T15:07:32.048270Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.141479Z","title":"successes","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.141479Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:fec392ae9c10c426f312ea2e3d19f835f2db77e90d304ff8b9952e18cf06017a","observation_id":"7a109ad4-283a-4d84-b594-245c88b046c9","resolution":{"observed_at":"2026-08-01T15:07:32.141479Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.244220Z","title":"Evaluating agentic ai systems: A balanced framework for performance, robustness, safety and beyond,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.244220Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:1d4e90570e4f72f19f4552808bb6a82c2a68ede492dbc4ffa32aa5c1ac309259","observation_id":"44ed48ee-c265-480a-9966-2e7561ad9030","resolution":{"observed_at":"2026-08-01T15:07:32.244220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02709","last_updated":"2025-05-05T15:06:09Z","snapshot_observed_at":"2026-08-19T14:24:21.147113Z","submitted_at":"2025-05-05T15:06:09Z","title":"Technical Report: Evaluating Goal Drift in Language Model Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02709","snapshot_observed_at":"2026-08-01T15:07:32.297250Z","title":"Technical report: Evaluating goal drift in language model agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.297250Z"},"links":{"cited_paper":"/paper/2505.02709","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:93dc3579ee5f3b617dbddfa6115aaec7a23484a644f56b76487b9620222a13ec","observation_id":"f1db35ca-f30c-416d-ac05-64791782712b","resolution":{"observed_at":"2026-08-01T15:07:32.297250Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.355195Z","title":"α 3-bench: A unified benchmark of safety, robustness, and efficiency for llm-based uav agents over 6g networks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.355195Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:1fb19015fbd12fbe01d9d0cebbaef67556e55fb725c3e5eb70b328dc08e8f383","observation_id":"3005fecb-9f1b-4cb5-9570-626f4737223f","resolution":{"observed_at":"2026-08-01T15:07:32.355195Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.01811","last_updated":"2025-03-03T18:39:48Z","snapshot_observed_at":"2026-08-16T12:53:29.210088Z","submitted_at":"2025-03-03T18:39:48Z","title":"AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.01811","snapshot_observed_at":"2026-08-01T15:07:32.454803Z","title":"Autoadvexbench: Benchmarking autonomous exploitation of adversarial example defenses,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.454803Z"},"links":{"cited_paper":"/paper/2503.01811","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:38ee02725549425f3639aa7234fc9be5430f40f88e0f656305d93805a4e957fa","observation_id":"6324c058-f995-42fe-b8b6-2a1b1d0eb78a","resolution":{"observed_at":"2026-08-01T15:07:32.454803Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.513396Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.513396Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:ee77f9e4305cb60743b66c7953cf702d39ce10bf0be742b466a43517dc5151f0","observation_id":"80971bd9-3ce0-41bc-b33d-2b5caa7ead13","resolution":{"observed_at":"2026-08-01T15:07:32.513396Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.579745Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.579745Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:f760a74d9a2f3211692970aa58efdf2b7bbee1e543a0b71ce6a99872dbaa96d2","observation_id":"5c146284-a4d6-4e78-844b-5248b6897733","resolution":{"observed_at":"2026-08-01T15:07:32.579745Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.648657Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.648657Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:b259162954fff46445b1606abb70ea5cd524b2284aae2a3d937eab82f8f507e8","observation_id":"df52c0a2-ebf9-45bf-a4ac-3802eba41a18","resolution":{"observed_at":"2026-08-01T15:07:32.648657Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.714687Z","title":"Chain-of-trigger: An agentic backdoor that paradoxically enhances agentic robustness,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.714687Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:595dd1f75ff90368f507141e6f593a3038ee80b8cfe9f27178e8a89e6ec930c3","observation_id":"348a03f5-14ce-4186-9514-6715f9e6e5bf","resolution":{"observed_at":"2026-08-01T15:07:32.714687Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.925874Z","title":"An interpretable federated learning control framework design for smart grid resilience,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.925874Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:57f1f1731312c1357f5d1ae4e2980b1ab62e4f7a660509c7c6f6c2f8289ecdcb","observation_id":"1fb991d6-84a9-495b-8013-737b10aa3797","resolution":{"observed_at":"2026-08-01T15:07:32.925874Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.009228Z","title":"Evaluating interpretable kolmogorov–arnold network controllers for smart grid resilience,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.009228Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:74ed4276eacb90e0ff0d02d8a2beb47ffb648b6ff3fd44ce97edd0295b9b789f","observation_id":"7433a7a5-e09a-4a3f-b4f4-7660a6ec9c6e","resolution":{"observed_at":"2026-08-01T15:07:33.009228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2607.05553","last_updated":"2026-07-06T18:42:09Z","snapshot_observed_at":"2026-08-02T09:59:21.565133Z","submitted_at":"2026-07-06T18:42:09Z","title":"Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2607.05553","snapshot_observed_at":"2026-08-01T15:07:33.062876Z","title":"Federated physics-grounded reinforcement learning for distributed stability control in smart grids,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.062876Z"},"links":{"cited_paper":"/paper/2607.05553","citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:e0e3badc493c247d37b0b0407774f8f4a55fd0c4bfefe5b6557d947bb6796965","observation_id":"8bb76d79-835a-4776-9817-e050c5104661","resolution":{"observed_at":"2026-08-01T15:07:33.062876Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:32.825959Z","title":"Available: https://arxiv.org/abs/2510.08238","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:32.825959Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:8cef01a529cda7f9c003ebb52bb5ea4166c03a94992b3a79538ea3f4fe7d2773","observation_id":"c2904b8e-5ec1-4291-9596-392aa7cfb7b2","resolution":{"observed_at":"2026-08-01T15:07:32.825959Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.257618Z","title":"PowerAgent: A road map toward agentic intel- ligence in power systems: Foundation model, model context protocol, and workflow,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.257618Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:b2fa8129ca098599bd5f2402048cb18a10f842f261b2350b5ca71288e46d5cfc","observation_id":"1cdcb385-cca5-488d-86ff-c7755ff1d8ee","resolution":{"observed_at":"2026-08-01T15:07:33.257618Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.329057Z","title":"Crucial role of foundation models in enhancing the interaction of AI and power sys- tems: Achieving integrated frameworks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.329057Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:1747da44ecd5ae0bb2407d5f8076bca4bb3b5abec70ebd27ff5cb8e9033d44ba","observation_id":"97e608cb-59bc-45cb-bb79-5884c8f1bb4f","resolution":{"observed_at":"2026-08-01T15:07:33.329057Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.381833Z","title":"Agentic artificial intelligence for smart grids: A comprehensive review of autonomous, safe, and explainable control frameworks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.381833Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:74414714b45a530d3affcf64edf324a88b4e0d42430451c804034ff8fa2bf049","observation_id":"0f0208b4-c032-45d9-a63c-a5a2d2b91b37","resolution":{"observed_at":"2026-08-01T15:07:33.381833Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.113308Z","title":"Inertia-informed federated learning control framework for distributed smart grid resilience,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.113308Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:f960fb469fef588eb921aae516468707300ebf8809486ba06712abf14933a536","observation_id":"ae430390-488e-4be6-9b9f-6124aab7836c","resolution":{"observed_at":"2026-08-01T15:07:33.113308Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.531640Z","title":"A large language model for advanced power dispatch,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.531640Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:9a44dc2994d351a9718fd1d9a3ae991cb7d39ca16b6075029a852a0899a69083","observation_id":"942b3efa-6558-416e-ab3e-9faa5e7c5313","resolution":{"observed_at":"2026-08-01T15:07:33.531640Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.590532Z","title":"Testing fine-tuned large language models for power system analysis,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.590532Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:237589ce33477cb7066b1767edfd168a364df8ad284f2d66dc74a495060be634","observation_id":"91fc46a1-accc-4aa1-b78c-ec74b1308eda","resolution":{"observed_at":"2026-08-01T15:07:33.590532Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.635997Z","title":"X-GridAgent: An LLM-powered agentic AI system for assisting power grid analysis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.635997Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:aff0b9b5c81ee77e4a4c633f8430121cc8a1c5ea385a0e95f92deb1e20dd816d","observation_id":"b5fdcfd6-765f-4947-9a23-6b6f7d9f54ab","resolution":{"observed_at":"2026-08-01T15:07:33.635997Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.709193Z","title":"GridMind: LLMs-powered agents for power system analysis and operations,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.709193Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:9f49adbf4d18e6de4f3b5efbdd825664ea8da9b4931c61ff8992f0c1757c016d","observation_id":"679d1ff2-4a44-4ed6-aae1-3e64f312a228","resolution":{"observed_at":"2026-08-01T15:07:33.709193Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.461201Z","title":"Agentic AI systems in electrical engineering: Current state-of-the-art and challenges,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.461201Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:01d45155d142e50772edc2d2623a0134bc1fd03f7318f15b7d1722ec321100ed","observation_id":"96c832c1-ab8c-47b3-ac18-2f60e8b00dd2","resolution":{"observed_at":"2026-08-01T15:07:33.461201Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.955836Z","title":"DrAgent: An agentic approach to fault analysis in power grids using large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.955836Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:528984b63be17f47109fa1eaa9c936ddcf78d5756302d38b89a0578b480889d3","observation_id":"524fb984-abaf-4bff-9319-05a0c4da7aca","resolution":{"observed_at":"2026-08-01T15:07:33.955836Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:34.025055Z","title":"Agentic planning for power system simulation task orchestrations based on multi-agent systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:34.025055Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:30207ee978c979e2ed629effadde23a7f5fbebddb2d241ea932061269f78285f","observation_id":"03da76c8-1692-41e5-9d63-204afea8d206","resolution":{"observed_at":"2026-08-01T15:07:34.025055Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:34.076512Z","title":"Enhancing LLMs for power system simu- lations: A feedback-driven multi-agent framework,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":101,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:34.076512Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:44092e610321866ec0016f37eb2177f6ea82dff67820f712bbd2dcc2cc10af34","observation_id":"9719d170-31f7-4cd4-817b-7752972ed3a0","resolution":{"observed_at":"2026-08-01T15:07:34.076512Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:33.791277Z","title":"PowerChain: Automating distribution grid analysis with agentic AI workflows,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:33.791277Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:9bc83348bedb22549255232ecf71bc34c78308ecec367adf8beee2064686af7b","observation_id":"cc274877-f08f-4e27-90a4-b236b41544c4","resolution":{"observed_at":"2026-08-01T15:07:33.791277Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T15:07:34.166405Z","title":"Control barrier functions: Theory and applications,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems","version":1},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-08-01T15:07:34.166405Z"},"links":{"citing_paper":"/paper/2607.18548"},"observation_digest":"sha256:968548cc2672a11f9abb01b71af4673ed7a6e32ce5df1780a099d56c03193cb1","observation_id":"d1974226-9fa8-4fea-a2e4-616600aeb542","resolution":{"observed_at":"2026-08-01T15:07:34.166405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.18548","last_updated":"2026-07-20T22:28:16Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-13T15:16:36.571505Z","submitted_at":"2026-07-20T22:28:16Z","title":"Engineering Trustworthy Agentic AI for Critical Systems"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":100,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":144},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 100 of 144 outbound references and 0 inbound Pith citation observations for arXiv:2607.18548."}