{"as_of":"2026-08-14T19:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9cb58705e0ce203129f2461ff4cf01cb3ee874a4e82383f17d02cb38966aed6e","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T20:19:21.949343Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2509.08638/citation-record","integrity":"/paper/2509.08638/integrity","json":"/paper/2509.08638/citation-record.json","paper":"/paper/2509.08638"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.12345","last_updated":"2025-06-17T20:37:32Z","snapshot_observed_at":"2026-08-13T04:37:25.423033Z","submitted_at":"2024-01-22T20:20:48Z","title":"Distributionally Robust Receive Combining","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12345","snapshot_observed_at":"2026-08-04T20:19:18.105098Z","title":"Wiesbrock et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.105098Z"},"links":{"cited_paper":"/paper/2401.12345","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:1c7d28bccbd7868528f6d304af63286b71183b0a7bf083ce45bf7efbb2f4ab2a","observation_id":"850837d0-4cd1-4f04-bee6-616fec9ac497","resolution":{"observed_at":"2026-08-04T20:19:18.105098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.07890","last_updated":"2021-11-18T01:46:05Z","snapshot_observed_at":"2026-08-13T14:32:02.996830Z","submitted_at":"2021-06-15T05:40:51Z","title":"An enriched category theory of language: from syntax to semantics","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.07890","snapshot_observed_at":"2026-08-04T20:19:18.210303Z","title":"Sreenivasaiah et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.210303Z"},"links":{"cited_paper":"/paper/2106.07890","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:44201d3835a7d9ef61c0cef624162078f546b528388ca5050d675ba33f7caec1","observation_id":"b40455ca-d398-47f3-83ab-028acf1a350c","resolution":{"observed_at":"2026-08-04T20:19:18.210303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12345","last_updated":"2023-05-21T04:43:55Z","snapshot_observed_at":"2026-08-13T11:38:02.745317Z","submitted_at":"2023-05-21T04:43:55Z","title":"Overspinning a rotating black hole in semiclassical gravity with type-A trace anomaly","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12345","snapshot_observed_at":"2026-08-04T20:19:18.315875Z","title":"Lee et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.315875Z"},"links":{"cited_paper":"/paper/2305.12345","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:7046aaa33b018f5ca3c54bbe9e66d22fec6ae96077b4ea623033c0b7364c4db9","observation_id":"e7971fc6-7e60-42dd-9be7-f8d1702449cb","resolution":{"observed_at":"2026-08-04T20:19:18.315875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12345","last_updated":"2025-01-21T18:23:42Z","snapshot_observed_at":"2026-08-10T22:45:22.078899Z","submitted_at":"2025-01-21T18:23:42Z","title":"The doubly librating Plutinos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12345","snapshot_observed_at":"2026-08-04T20:19:18.378260Z","title":"Danso et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.378260Z"},"links":{"cited_paper":"/paper/2501.12345","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:4f2c87020471403138600f02ed55640dc5d7359652ef4c6e086b5acb67407539","observation_id":"a979a8d2-b827-4a20-aad1-9f351df80c3b","resolution":{"observed_at":"2026-08-04T20:19:18.378260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.12345","last_updated":"2024-12-16T20:39:39Z","snapshot_observed_at":"2026-08-11T14:08:28.495512Z","submitted_at":"2024-12-16T20:39:39Z","title":"Critical groups and partitions of finite groups","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.12345","snapshot_observed_at":"2026-08-04T20:19:18.457516Z","title":"Xu et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.457516Z"},"links":{"cited_paper":"/paper/2412.12345","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:341e15f8c4554e1e2d4e5bd2a68024ca04d2d592ee094cd9746ce0e779fdeaab","observation_id":"63e82690-b298-4be2-906b-f604107db4b1","resolution":{"observed_at":"2026-08-04T20:19:18.457516Z","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":"2026-08-04T20:19:18.547605Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.547605Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:cee88cf3a1975febce8fb3ff9ff056a98e7fe1a907ccde298979053883e0761e","observation_id":"75f719dc-11e3-4905-9d39-defa1f0253e8","resolution":{"observed_at":"2026-08-04T20:19:18.547605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.01199","last_updated":"2025-06-04T19:26:05Z","snapshot_observed_at":"2026-08-13T09:30:09.351921Z","submitted_at":"2025-06-01T22:29:32Z","title":"Test Automation for Interactive Scenarios via Promptable Traffic Simulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.01199","snapshot_observed_at":"2026-08-04T20:19:18.638776Z","title":"Mondelli, Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.638776Z"},"links":{"cited_paper":"/paper/2506.01199","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:5258f65942cfc5036e8275843fe39efdda15b4912eb07ff3d9034f66688ac340","observation_id":"a985f8f3-a409-434c-883e-871880db2163","resolution":{"observed_at":"2026-08-04T20:19:18.638776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.22331","last_updated":"2025-05-28T13:17:59Z","snapshot_observed_at":"2026-08-13T10:21:08.699356Z","submitted_at":"2025-05-28T13:17:59Z","title":"A Multi-output Gaussian Process Regression with Negative Transfer Mitigation for Generating Boundary Test Scenarios of Multi-UAV Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.22331","snapshot_observed_at":"2026-08-04T20:19:18.752771Z","title":"Jiang, H","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.752771Z"},"links":{"cited_paper":"/paper/2505.22331","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:25100db0d43c3739631da7a8e1bccfe651be02ab321bfbb47e1bd49316ba2acf","observation_id":"0a4771a5-6674-4436-abc2-afbf9ce2a8c9","resolution":{"observed_at":"2026-08-04T20:19:18.752771Z","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":"2026-08-04T20:19:18.848724Z","title":"Bat et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.848724Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:0113b7c2f79565cda8386fea652b75b8cadb1fb2feed712af02019d8ce5e9a26","observation_id":"83c78ce3-c70d-417e-93a3-ed2242da8dc9","resolution":{"observed_at":"2026-08-04T20:19:18.848724Z","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":"2026-08-04T20:19:18.969045Z","title":"Oh et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:18.969045Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:b214254bdd49b732730050009a622e791adb04fceaa6a673648069270a022b96","observation_id":"8ace3e03-c8e2-450d-9bd3-6512298c87e7","resolution":{"observed_at":"2026-08-04T20:19:18.969045Z","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":"2026-08-04T20:19:19.059912Z","title":"Garnett et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.059912Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:517c0618a00a61e28c66ad3ea0208f6e1af6615367a05da8c390521aa24c071b","observation_id":"5178bb04-cfe3-4fc0-81a3-aebc16218fe3","resolution":{"observed_at":"2026-08-04T20:19:19.059912Z","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":"2026-08-04T20:19:19.177322Z","title":"Lee et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.177322Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:0ef59806eccbf7c0b690861722ca20c47ee9a9216e7ed6e128a2a586c89372db","observation_id":"5a3ea095-a7b7-4083-bcdf-f0ee9fe931b6","resolution":{"observed_at":"2026-08-04T20:19:19.177322Z","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":"2026-08-04T20:19:19.421765Z","title":"Zhang, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.421765Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:d6477929f3fb1a3f68557762f3838af4dc3e7901a436d3acc1cd0abafe0fa69d","observation_id":"a9ee04f4-091c-45c0-8300-1ffd1d1308d8","resolution":{"observed_at":"2026-08-04T20:19:19.421765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06018","last_updated":"2025-05-15T22:10:56Z","snapshot_observed_at":"2026-08-13T23:25:34.208004Z","submitted_at":"2023-05-10T10:04:08Z","title":"TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles via Validated LLM-Guided Knowledge Extraction","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06018","snapshot_observed_at":"2026-08-04T20:19:19.733339Z","title":"Deng et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.733339Z"},"links":{"cited_paper":"/paper/2305.06018","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:5faebea60aa625403f9c1ebb249e882b7aa0ceb4db5997cc86fb51080d3d0702","observation_id":"851fc81e-847d-45e7-8355-52124043473b","resolution":{"observed_at":"2026-08-04T20:19:19.733339Z","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":"2026-08-04T20:19:19.839545Z","title":"Xu et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.839545Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:1ab4fd5eef8f6ced95b54c64f885d64237bc1985789287263b193bb550c5ba1d","observation_id":"d2f90028-a97a-42b4-ba81-b4316c0e204a","resolution":{"observed_at":"2026-08-04T20:19:19.839545Z","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":"2026-08-04T20:19:20.100265Z","title":"Lu et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.100265Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:037e2a03c9c4d2fc3d97511504d683c1b1ba181e313d6f740939efa69d67a013","observation_id":"b30fa27d-da41-4b41-8a0b-8b548a85583e","resolution":{"observed_at":"2026-08-04T20:19:20.100265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00243","last_updated":"2024-11-29T20:23:28Z","snapshot_observed_at":"2026-08-13T03:29:18.490005Z","submitted_at":"2024-11-29T20:23:28Z","title":"Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00243","snapshot_observed_at":"2026-08-04T20:19:20.290281Z","title":"Zhao et al","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.290281Z"},"links":{"cited_paper":"/paper/2412.00243","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:04a8f2c698620fc6102a946ac48f914a934f456ab6e7ce66b5b2b190e625a378","observation_id":"8919e5ea-3daf-49e6-b399-f5c4c582db33","resolution":{"observed_at":"2026-08-04T20:19:20.290281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06684","last_updated":"2024-12-14T11:06:37Z","snapshot_observed_at":"2026-08-13T22:50:22.807896Z","submitted_at":"2024-12-09T17:27:04Z","title":"Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06684","snapshot_observed_at":"2026-08-04T20:19:19.957132Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.957132Z"},"links":{"cited_paper":"/paper/2412.06684","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:52712ec5ac8f1a04bab94a68c0a371cf5c7de6c5c1ba1161fac48ad038333fd5","observation_id":"ab441b1b-ca67-4cd4-b8b9-4d2cee7b362b","resolution":{"observed_at":"2026-08-04T20:19:19.957132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.16927","last_updated":"2024-08-15T13:55:30Z","snapshot_observed_at":"2026-08-13T11:06:04.594746Z","submitted_at":"2023-06-29T14:17:24Z","title":"End-to-end Autonomous Driving: Challenges and Frontiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.16927","snapshot_observed_at":"2026-08-04T20:19:20.494432Z","title":"Ding et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.494432Z"},"links":{"cited_paper":"/paper/2306.16927","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:8ebc333a780ddf3f50ea27f1e47ae5415a15fa0d345488d9f0047429892711ca","observation_id":"951c6ac8-b4c6-46b5-b310-fc92ae6402f1","resolution":{"observed_at":"2026-08-04T20:19:20.494432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06450","last_updated":"2024-09-10T12:12:09Z","snapshot_observed_at":"2026-08-12T22:47:48.504519Z","submitted_at":"2024-09-10T12:12:09Z","title":"Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.06450","snapshot_observed_at":"2026-08-04T20:19:20.211840Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.211840Z"},"links":{"cited_paper":"/paper/2409.06450","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:466dec5e26af526644247f57c9de10c6e7d3670459257958bbeb5c84482027b9","observation_id":"f1e4aef2-2ded-4b11-8d24-37cf6e41e91b","resolution":{"observed_at":"2026-08-04T20:19:20.211840Z","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":"2026-08-04T20:19:20.780895Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.780895Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:78681e2ca7f6ae8c34087a63289aaf4290d3e2817489d16f3c046deef7d5176b","observation_id":"1b3d813b-74ee-4f06-8277-91981c2b180c","resolution":{"observed_at":"2026-08-04T20:19:20.780895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.02145","last_updated":"2025-07-18T08:39:33Z","snapshot_observed_at":"2026-08-10T06:11:42.445716Z","submitted_at":"2025-02-04T09:19:13Z","title":"From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.02145","snapshot_observed_at":"2026-08-04T20:19:20.411086Z","title":"Gao et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.411086Z"},"links":{"cited_paper":"/paper/2502.02145","citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:7c2d48ae9995e183d782fc75e604834dc45b6c92ade83de827ecc6bf67ec44ff","observation_id":"a4a72f02-2a14-41ed-bb26-1a1855897a60","resolution":{"observed_at":"2026-08-04T20:19:20.411086Z","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":"2026-08-04T20:19:21.001651Z","title":"Martin, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.001651Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:9425337eac11daa521806ec36369d7bb35d7de52a25929aefdb1ad38ca6f03fb","observation_id":"ef5b7671-4561-4f2d-bbff-096a70ac2156","resolution":{"observed_at":"2026-08-04T20:19:21.001651Z","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":"2026-08-04T20:19:20.577162Z","title":"Ruan et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.577162Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:f851f0afcaff661b8cbca701d4a75db2c3d6b36b2c46cca655f71f952fac993a","observation_id":"acdd8900-a9ae-4b8c-87b3-9c4fdceddbdb","resolution":{"observed_at":"2026-08-04T20:19:20.577162Z","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":"10.1038/s41597-025-04775-6","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Patrikar, J","venue":"Scientific Data","work_id":"a5f271e7-4d33-4061-b38d-f79936031dee","year":2025},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.890782Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:f9b575d54ec0500ffe9c5adad2b2172bf7967b97c1f8b49ec874eb559a32757d","observation_id":"76c14139-69a8-4629-8907-afdc66dd6479","resolution":{"observed_at":"2026-08-04T20:24:08.789591Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T20:19:21.116693Z","title":"Ghosh, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.116693Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:84d3d9e3b18563621059c5b585b4d07988a1ea7b90853f260bdcd60eea53e44e","observation_id":"9f0b47ad-fac4-4ba2-a2d5-aa7727828aa4","resolution":{"observed_at":"2026-08-04T20:19:21.116693Z","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":"2026-08-04T20:19:21.266020Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.266020Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:e718f91b6f514eb82b017dc33398d7307ebe4946637bd05b9c4796e6bfeaff5d","observation_id":"83dbb9ca-54f0-404d-b906-8c702ee43360","resolution":{"observed_at":"2026-08-04T20:19:21.266020Z","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":"2026-08-04T20:19:21.362329Z","title":"all purples fail","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.362329Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:ddbfdf524b6d281c6b1add3f9642209e7d213bc489f275a4ce5932fefd475ca4","observation_id":"9a8bcdf4-1853-4a7f-b1ef-6a572835333a","resolution":{"observed_at":"2026-08-04T20:19:21.362329Z","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":"2026-08-04T20:19:21.564211Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.564211Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:928557cca95c118dcc56c3a14f7a906917376c1c52e39c4f3e7a765089c17771","observation_id":"96939c8c-904f-4e22-ab70-21dc9e1b095d","resolution":{"observed_at":"2026-08-04T20:19:21.564211Z","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":"2026-08-04T20:19:21.675528Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.675528Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:5d352ccdcc232b39754d354ca31b20e750220f26579e0d59317012bc05ae5046","observation_id":"6d1e39e5-8b2d-4a6d-a0c8-0f53400811b9","resolution":{"observed_at":"2026-08-04T20:19:21.675528Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-04T20:19:21.821873Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.821873Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:69a09d6662a9a541834636a8fa318919becfc5bd4e88c8cd428d11a228e13792","observation_id":"3d495bbe-44f4-4466-b44a-06a9ae9e6a32","resolution":{"observed_at":"2026-08-04T20:19:21.821873Z","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":"2026-08-04T20:19:21.949343Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:21.949343Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:132d047afbeabbe334880626ccd1504ddbaf4fddd415c1b26983cc360f4f3e17","observation_id":"d4919205-b10c-4568-8185-c77f158e7340","resolution":{"observed_at":"2026-08-04T20:19:21.949343Z","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":"2026-08-04T20:19:19.315779Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.315779Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:f4808605b3bd49a9f28729afa3d9e10e0bbf66e4b50adb3b235cfa4fdb137302","observation_id":"78cfd896-9030-4e89-b70e-4e6a2aefe96f","resolution":{"observed_at":"2026-08-04T20:19:19.315779Z","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":"2026-08-04T20:19:19.547487Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:19.547487Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:7d0d862f89d640f14d24eba42f2e08e98982529fc79ff12c71646ac6a6afc9af","observation_id":"f231d36d-1486-4da7-8022-364b5a687534","resolution":{"observed_at":"2026-08-04T20:19:19.547487Z","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":"2026-08-04T20:19:20.668543Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-04T20:19:20.668543Z"},"links":{"citing_paper":"/paper/2509.08638"},"observation_digest":"sha256:a1421fd7a1ec931be5de749ed57611ec7ffb47db0f0e8cf33ecd8ff463046743","observation_id":"fdaa29f3-49a1-4bdf-801e-45776be5b2ed","resolution":{"observed_at":"2026-08-04T20:19:20.668543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.08638","last_updated":"2025-09-10T14:33:58Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-13T09:30:56.305938Z","submitted_at":"2025-09-10T14:33:58Z","title":"AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":33,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":35},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2509.08638."}