{"as_of":"2026-08-09T03:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:310365447a7faa1a03ef3248b06e11c5a70b747332bf828d91eef2a2543f35aa","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T09:09:56.600390Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2602.13213/citation-record","integrity":"/paper/2602.13213/integrity","json":"/paper/2602.13213/citation-record.json","paper":"/paper/2602.13213"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T09:09:55.144569Z","title":"How artificial intelligence is transform- ing the insurance underwriting process,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.144569Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:0daaee078f7296302ce5d135481a7c1752f8e293eb55b41e7a909a16f55c9dd0","observation_id":"da80f07d-8bef-4305-a5d5-026c5eff6a37","resolution":{"observed_at":"2026-08-03T09:09:55.144569Z","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":"2026-08-03T09:09:55.203404Z","title":"Underwriter’s edge: Harnessing generative AI for optimal outcomes,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.203404Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:8ee7d8d957d0a74eaa14ad4a900bcd07aa220bfe15b60d63a7148e4208266371","observation_id":"eec1bfbb-0b31-4b57-a96d-0760fe804966","resolution":{"observed_at":"2026-08-03T09:09:55.203404Z","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":"2026-08-03T09:09:55.267815Z","title":"Regulation (eu) 2024/1689 (artificial intelligence act),","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.267815Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:1c16c24fe889d986b3836231eef200e470947bf7e82c7ce463cc13428797956c","observation_id":"ec522fde-b93e-40ef-a35c-621c06a34721","resolution":{"observed_at":"2026-08-03T09:09:55.267815Z","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":"2026-08-03T09:09:55.363781Z","title":"Tracking the evolution of AI insurance regula- tion,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.363781Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:f82c13d44e74d0f3f5c69eaf2ce76d8570b42855fddd13cf2a5373b2abf104c3","observation_id":"3fa7f2b6-a31e-4b20-8155-f298a1fd1ef0","resolution":{"observed_at":"2026-08-03T09:09:55.363781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05232","last_updated":"2024-11-19T12:42:45Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T09:25:37Z","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.05232","snapshot_observed_at":"2026-08-03T09:09:55.429300Z","title":"A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.429300Z"},"links":{"cited_paper":"/paper/2311.05232","citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:a0feb964898ad25dd41644d7538b71d1630c8f5500762a861c1ce75aece5737a","observation_id":"ebcfa26c-2af4-4305-811d-dd397b9342c3","resolution":{"observed_at":"2026-08-03T09:09:55.429300Z","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":"2026-08-03T09:09:55.496279Z","title":"Harnessing the power of LLMs in practice: A survey on ChatGPT and beyond,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.496279Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:e68ea88fa58a1e01283ae049a027feff58c3329b6be1fae5d9282599090cff3b","observation_id":"04a1e081-93e6-44d1-a65a-b8b4eb27f2c5","resolution":{"observed_at":"2026-08-03T09:09:55.496279Z","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":"2026-08-03T09:09:55.550923Z","title":"ReAct: Synergizing reasoning and acting in language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.550923Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:fde2de1cd7c682c3ee59ef11783cfff479351b69d828181ac164797cc49426d8","observation_id":"c2fba24d-5c25-4e41-a4fd-69ae9ac67dd0","resolution":{"observed_at":"2026-08-03T09:09:55.550923Z","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":"2026-08-03T09:09:55.657841Z","title":"AI in insurance underwriting: Use cases and results from leading insurers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.657841Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:2498978ec2042c4a7c59c99efb699cd90b0dbee502d2f4eb22819040fe8a190d","observation_id":"6781aeb6-f782-4239-969d-dcdc1fabfc4e","resolution":{"observed_at":"2026-08-03T09:09:55.657841Z","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":"2026-08-03T09:09:55.731782Z","title":"How an AI-powered underwriting workbench improves efficiency in risk assessment,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.731782Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:4885d28cc98e6d59985f0f6f52a8219279c6aede52d05e2ae5619bb716dffcc7","observation_id":"eb673d2e-5409-47f6-94bd-0720dc935a93","resolution":{"observed_at":"2026-08-03T09:09:55.731782Z","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":"2026-08-03T09:09:55.833792Z","title":"Underwriting rewritten,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.833792Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:ed9b04f7fd8bb220d51f5b64fcdacce48b97cfc93b43f8f4d59878b9ed6c9002","observation_id":"1a13b10f-1072-45fa-979e-8a120746eeb5","resolution":{"observed_at":"2026-08-03T09:09:55.833792Z","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":"2026-08-03T09:09:55.918968Z","title":"Human in the loop AI validation for eCommerce catalogs,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:55.918968Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:a435aa7d4cab625ec7286879ddeebc126cc9ca00628ec5cfc480aefaa0969fa1","observation_id":"e2b465cf-2bed-4dc8-89c9-da83adcc9297","resolution":{"observed_at":"2026-08-03T09:09:55.918968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08073","last_updated":"2022-12-15T06:19:23Z","snapshot_observed_at":"2026-08-02T04:53:58.766070Z","submitted_at":"2022-12-15T06:19:23Z","title":"Constitutional AI: Harmlessness from AI Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08073","snapshot_observed_at":"2026-08-03T09:09:56.004732Z","title":"Constitutional AI: Harmlessness from AI feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.004732Z"},"links":{"cited_paper":"/paper/2212.08073","citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:49aae467eee8261f0f32ad1b7a6a1a3c413133fd5aa575cfb08b48774d410199","observation_id":"195b0c65-5403-49a3-84f1-c63b25fca0e6","resolution":{"observed_at":"2026-08-03T09:09:56.004732Z","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":"2026-08-03T09:09:56.074730Z","title":"Critic-cot: Boosting the reasoning abilities of large language model via chain-of-thought critic,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.074730Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:6c6642afc908377f0182254a80ea4297d0cecc8ca1c367d168b5ec632bf89165","observation_id":"b808e325-0a31-465a-a6e6-7d13ba16dd1f","resolution":{"observed_at":"2026-08-03T09:09:56.074730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01297","last_updated":"2024-12-03T19:14:06Z","snapshot_observed_at":"2026-08-02T06:30:19.601023Z","submitted_at":"2024-06-03T13:05:46Z","title":"When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01297","snapshot_observed_at":"2026-08-03T09:09:56.146465Z","title":"When can LLMs actually correct their own mistakes? a critical survey of self-correction of LLMs,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.146465Z"},"links":{"cited_paper":"/paper/2406.01297","citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:fe2de955f78a5eee925d9595d8678cef377995c456141c8d4bea34e53a1679bf","observation_id":"0d395e60-0ecc-4e15-8e5f-615f52c8605f","resolution":{"observed_at":"2026-08-03T09:09:56.146465Z","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":"2026-08-03T09:09:56.217582Z","title":"Introducing Claude Sonnet 4.5,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.217582Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:eb1161398afb7a5ce2acf3ffd1b0c33a8950259dfedd7361b6bae2c6e7953a48","observation_id":"bffe2882-206c-4c85-9b21-d087df2d6324","resolution":{"observed_at":"2026-08-03T09:09:56.217582Z","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":"2026-08-03T09:09:56.311329Z","title":"snorkelai/multi-turn-insurance-underwriting (dataset),","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.311329Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:086af5e4f31a0679ecd3f773ef4b2c631070afec0787d298090faeeda75b14a0","observation_id":"7277383a-2030-4d79-8392-11dcc3878fdd","resolution":{"observed_at":"2026-08-03T09:09:56.311329Z","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":"2026-08-03T09:09:56.410993Z","title":"Probable inference, the law of succession, and statistical inference,","venue":null,"work_id":null,"year":1927},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.410993Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:09abbd7ebaa4700d57eb0831a7d4331f93aff4a94a1c3e15a8d249501c2f3e94","observation_id":"6946b319-8f1e-447f-8ec5-d3b6a88163ac","resolution":{"observed_at":"2026-08-03T09:09:56.410993Z","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":"2026-08-03T09:09:56.510963Z","title":"Note on the sampling error of the difference between correlated proportions or percentages,","venue":null,"work_id":null,"year":1947},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.510963Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:dc39e42406bc9aecb15c032d128f5b0a2ba0f211d39be0b102b3b15afceac008","observation_id":"34fc3d38-5b6f-452e-8a4e-fb5b83485dbf","resolution":{"observed_at":"2026-08-03T09:09:56.510963Z","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":"2026-08-03T09:09:56.600390Z","title":"Claude API pricing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T09:09:56.600390Z"},"links":{"citing_paper":"/paper/2602.13213"},"observation_digest":"sha256:9cd3ae680609f3d0748faa7957e48b55e5c743f4c03063e5ad336c3c47a0d6d0","observation_id":"8ce5be16-0360-498b-a4dc-5555324c786d","resolution":{"observed_at":"2026-08-03T09:09:56.600390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.13213","last_updated":"2026-07-07T04:12:16Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T01:50:45.503348Z","submitted_at":"2026-01-21T05:51:27Z","title":"Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":19},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2602.13213."}