{"as_of":"2026-08-15T06:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:20d23d3ece71d865e56584d3c22c3abfd1b7bc6a45f5eccb0f34574665e039f0","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:55:31.377856Z","state":"measured"},{"denominator":61,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":61,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-01T05:57:14.338856Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T10:05:40.436462Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"cited_work":{"arxiv_id":"2411.17826","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17826","snapshot_observed_at":"2026-07-01T10:05:40.436462Z","title":"Rate-informed discovery via bayesian adaptive multifidelity sampling.arXiv preprint arXiv:2411.17826,","venue":null,"work_id":"2252b867-87ec-4b70-9c7f-677e3aa7304c","year":null},"citing_paper":{"arxiv_id":"2606.31131","last_updated":"2026-06-30T04:56:25Z","snapshot_observed_at":"2026-08-09T21:36:51.582603Z","submitted_at":"2026-06-30T04:56:25Z","title":"Scenario Generation for Testing of Autonomous Driving Systems Using Real-World Failure Records","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-01T05:57:14.338856Z"},"links":{"cited_paper":"/paper/2411.17826","citing_paper":"/paper/2606.31131"},"observation_digest":"sha256:19d5d56de792bc560a231a09b956d07407c2de8b9ba952444b0bc29771d7da1c","observation_id":"e7ad60e5-6cc3-4af7-b947-48b72be191e2","resolution":{"observed_at":"2026-07-01T10:05:40.438109Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17826/citation-record","integrity":"/paper/2411.17826/integrity","json":"/paper/2411.17826/citation-record.json","paper":"/paper/2411.17826"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.930523Z","title":"Althoff and J","venue":null,"work_id":"f6627d4b-b230-407c-838a-1ff1eb78734c","year":2014},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.208900Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:66c58e7039780970d1b85de651b371ec5c416ca41b5d377f39b97fcc6012f0fd","observation_id":"dc64a20e-2c80-433c-aa25-9276458ad560","resolution":{"observed_at":"2026-08-12T11:55:31.933183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":{"arxiv_id":"2006.15722","last_updated":"2021-03-08T18:50:37Z","snapshot_observed_at":"2026-08-09T05:21:34.241273Z","submitted_at":"2020-06-28T21:38:08Z","title":"Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.15722","snapshot_observed_at":"2026-08-12T11:55:31.212865Z","title":"Arief, Z","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.212865Z"},"links":{"cited_paper":"/paper/2006.15722","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:3974f69fc1a7d2975f42f9c74112531c22b27923e88e69fa33258b6ae64a7e68","observation_id":"e941c237-826e-4d80-87c2-a09a1c102bc8","resolution":{"observed_at":"2026-08-12T11:55:31.212865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.921034Z","title":"Balabanov and G","venue":null,"work_id":"4a20e5af-83b8-4327-861c-0b03e1d88c0d","year":2004},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.216603Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:cb28eff5878446f223c6cfda15cf1c0621baba8693179bf24d5b830a21f5d502","observation_id":"b70aed31-ea9f-41a3-9718-67ed5de36f12","resolution":{"observed_at":"2026-08-12T11:55:31.924326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.911645Z","title":null,"venue":null,"work_id":"08037ecd-d84c-48ed-a15e-2c1f94beba34","year":2007},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.220275Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:f64de1705dba0e460cad9cf483b55a04869533a3e7c4066450277c05bce2578a","observation_id":"7ad9bff1-441a-41c1-81ce-83201c699cff","resolution":{"observed_at":"2026-08-12T11:55:31.914974Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.902471Z","title":"Bronstein, S","venue":null,"work_id":"e10fac75-4ce0-4e7a-bf2e-35e3fd51ab83","year":null},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.223840Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:75b59bd1920d9e09d160824db8dcc9ccce1a5818074489fbbae5431abd56326c","observation_id":"d0f4ce21-ea24-4e6f-b6d4-d01408524229","resolution":{"observed_at":"2026-08-12T11:55:31.905702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.883537Z","title":"Chevalier, J","venue":null,"work_id":"2e1e4d1e-5610-4dcf-b8a6-d95441e5d3f2","year":2014},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.230418Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:4a813f08422fad222937ec03c92c39690822df9191de25683dab3df0ed1ba082","observation_id":"67a14631-fe32-4e15-9148-fac0148cfee4","resolution":{"observed_at":"2026-08-12T11:55:31.886841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.874370Z","title":null,"venue":null,"work_id":"6588b8cb-8331-4139-9f52-925430d4acd9","year":2021},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.233633Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:1fb16a13dcf3d3b5ebed53dbb44e3354ff0b670baf45ec96c728c16be0f846de","observation_id":"44b0a5f0-25ab-418d-a418-c7d94b934101","resolution":{"observed_at":"2026-08-12T11:55:31.877628Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.866186Z","title":"Corso, R","venue":null,"work_id":"b76576e3-cab5-4c40-87e4-cceafc9148e6","year":2021},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.237094Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:ed47fb10e387955bac97c6e2df36a2f812b6a917a4762e12da08ee91529b5777","observation_id":"e73ba515-0450-4502-8eb2-da64db60b49e","resolution":{"observed_at":"2026-08-12T11:55:31.868923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-12T11:55:31.240316Z","title":"Damle, V","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.240316Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:7efeb7883dcaace5a853a657731d52537c7fc838026e172831263ae3a12a2fa7","observation_id":"43bb19a2-f8ef-45d4-b3b6-5afd4879e398","resolution":{"observed_at":"2026-08-12T11:55:31.240316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.857758Z","title":null,"venue":null,"work_id":"cf3195f9-9fce-498b-9f34-7e9500026c49","year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.243496Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:d598f588754f0b919f298f60ec5c4238e64cfe6f62f7fd276735fb7e4a386e21","observation_id":"6c0b3d5a-77e0-4447-bca5-a5195b1c30d9","resolution":{"observed_at":"2026-08-12T11:55:31.860391Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.849056Z","title":null,"venue":null,"work_id":"9bda4053-413b-4abf-a8ec-eed14b559389","year":1978},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.246134Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:9c44c0fa3b38e455205a335e48aedef4e00ee60a557e4453376f8a53d27f7a96","observation_id":"6efdc17a-c52c-428a-8096-188f77b16c64","resolution":{"observed_at":"2026-08-12T11:55:31.852283Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.839445Z","title":"Drezner and G","venue":null,"work_id":"a74f2074-4f18-427c-a2d3-8a2ec71f7346","year":1990},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.248923Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:fc1da93049ac9cbc79e43e7e1d5c6db9b323980a285ed642c8bf84332c4ebe9c","observation_id":"9d533384-de16-4c85-ba17-6bb52a01bea6","resolution":{"observed_at":"2026-08-12T11:55:31.842951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-12T11:55:31.251403Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.251403Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:a517bf67b63c95a89187db66ebf519ca0d47d906de0dcd7d124e619a1e6f88a6","observation_id":"3499e6dd-a187-40f2-ab94-c76f212b7577","resolution":{"observed_at":"2026-08-12T11:55:31.251403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02811","last_updated":"2018-07-08T13:06:26Z","snapshot_observed_at":"2026-08-13T17:25:53.968899Z","submitted_at":"2018-07-08T13:06:26Z","title":"A Tutorial on Bayesian Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.02811","snapshot_observed_at":"2026-08-12T11:55:31.253939Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.253939Z"},"links":{"cited_paper":"/paper/1807.02811","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:150696422d7e0864b6330c24821fec60f10f0b338caba06f46be1f6ee27cc7fc","observation_id":"d21370a1-e9ec-4b6a-ae0e-3b538e2c6036","resolution":{"observed_at":"2026-08-12T11:55:31.253939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17080","last_updated":"2023-09-29T09:20:37Z","snapshot_observed_at":"2026-07-06T16:25:21.571679Z","submitted_at":"2023-09-29T09:20:37Z","title":"GAIA-1: A Generative World Model for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17080","snapshot_observed_at":"2026-08-12T11:55:31.256799Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.256799Z"},"links":{"cited_paper":"/paper/2309.17080","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:6fb0672412c8243067a32a08897569ab76345ab3e543efb8699febe43be7fabc","observation_id":"48d2b669-c076-4444-accf-42f1ac75f23b","resolution":{"observed_at":"2026-08-12T11:55:31.256799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.824394Z","title":"Kalra and S","venue":null,"work_id":"1990ddf9-b962-48ec-aeee-ab4ea6e4c3cd","year":2016},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.259566Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:465ac0c42bbb99e63607856e951bf88ec2a78c130018f1cf23852b02101a49d3","observation_id":"2d2773b7-6d9c-4a35-96c2-67c3a1f43adb","resolution":{"observed_at":"2026-08-12T11:55:31.827561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.815297Z","title":null,"venue":null,"work_id":"dc2e24a2-606e-4373-91a3-af5978c77f3d","year":2017},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.261975Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:60cd751b13eadb5f3e3413cd692b580df0781778605f2c17799ed7c62eee3678","observation_id":"9e1a2a74-770f-46e5-b3a7-c77886bb27ac","resolution":{"observed_at":"2026-08-12T11:55:31.818367Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"10.1023/a:1008832824006","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.403344Z","title":null,"venue":null,"work_id":"21fe28b6-4ef2-402e-b232-8d98809719bd","year":1998},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.264574Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:2a698f6e810491543dc582e371778081efc8b1e85c11f3ee744d72bde40a03e3","observation_id":"79ececd6-d8d5-473c-b20d-e400c379419b","resolution":{"observed_at":"2026-08-12T11:55:31.407438Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.806227Z","title":null,"venue":null,"work_id":"d4b62455-fc7b-46ef-a433-6ac624cbc25b","year":2000},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.267174Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:897b80e0942d37f1b266dbdbe7ba6c77a463e0a43a500eb101411c36efd9a1fb","observation_id":"f595c066-4802-4840-b825-831af64599bc","resolution":{"observed_at":"2026-08-12T11:55:31.809192Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-12T11:55:31.269773Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.269773Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:bfb012b5665f33c050b4e1211626995e4d12ec4e9eac4546c11ff42cf361617f","observation_id":"a22efc8e-6f0f-4f63-9c40-ff1a316cdc19","resolution":{"observed_at":"2026-08-12T11:55:31.269773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.797316Z","title":"Klein, S","venue":null,"work_id":"603c8af4-077d-4482-9797-71cb0b26ab64","year":2017},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.272431Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:69b5307368b1b55783d9a9011dfa4d424a9cfab66c698a889b161220035c9ca4","observation_id":"7b54aefb-2872-482a-a7f5-687382d04cf2","resolution":{"observed_at":"2026-08-12T11:55:31.800392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.788901Z","title":"Koopman and M","venue":null,"work_id":"6af365df-8004-4f57-ad07-fd4014a9be9c","year":2016},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.275023Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:2a2175ca25bf9a8d42bdbb8eb0193b7730c4367d899f3fc04098ba85c7d9fa1d","observation_id":"982765f6-2cd5-47c1-bfed-46f8c39d783c","resolution":{"observed_at":"2026-08-12T11:55:31.791750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.780737Z","title":"Koren, S","venue":null,"work_id":"edc13f41-3eac-4981-a2db-0cbde4c45a3b","year":2018},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.277623Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:3a43c69006bf7070321fb6dcdb5b722555f9929533bf54e0c26ecc80baa62bdd","observation_id":"9f0554a4-dc43-4d4f-a856-9d154e9692cc","resolution":{"observed_at":"2026-08-12T11:55:31.783369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.772241Z","title":"Kulesza, B","venue":null,"work_id":"17e8bdf0-c5c7-4f76-a306-3487e9094999","year":2012},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.280335Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:9c158cad4f2c31867c24e81a315ee07993dea254c6b042deee34da77b2ce98d4","observation_id":"1532d800-d4e4-43ad-96c4-9120704ac6dc","resolution":{"observed_at":"2026-08-12T11:55:31.775275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.764633Z","title":"Kwiatkowska, G","venue":null,"work_id":"53156e05-338f-492c-958d-39b607f66b22","year":2011},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.283072Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:1de0f117889f7ce9597cba8ec8a2907c605ad8c976ed9b75dbf0fbdd92c114db","observation_id":"1f9b6f82-b279-48d6-aa1e-a274c9e26f66","resolution":{"observed_at":"2026-08-12T11:55:31.767132Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.756737Z","title":null,"venue":null,"work_id":"b509ca01-8464-4fcf-9d30-387d2148d7f7","year":2015},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.285834Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:3747dc89e832dc0cabfac3cc3274115e4d41dff4106603f96a707a83ad352ae9","observation_id":"331c6c86-5ca0-4666-b510-9d0e579af32b","resolution":{"observed_at":"2026-08-12T11:55:31.759166Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.748429Z","title":"Le Gratiet and C","venue":null,"work_id":"2a983bda-ae77-4497-9833-8fa42d9bdd5e","year":2015},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.288608Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:c20c2cc16feb2f02dc9b6f7edaf6be9c5869dfe65296f9616edf5064c3fac376","observation_id":"05063386-a6aa-4092-877f-f7918e406d1d","resolution":{"observed_at":"2026-08-12T11:55:31.751165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.739039Z","title":null,"venue":null,"work_id":"bf68a15c-1a4d-490e-b89d-508efb6b3211","year":2020},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.291657Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:5a9fff64b83a7fb03c8ec409ffe58ceb77a4b3c561f0847f8668dbb66cf9333b","observation_id":"50dcd24b-042d-40a6-92a9-1e9b44e17a5c","resolution":{"observed_at":"2026-08-12T11:55:31.742240Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"2312.07281","last_updated":"2024-06-17T07:05:43Z","snapshot_observed_at":"2026-08-13T05:04:11.068699Z","submitted_at":"2023-12-12T13:59:26Z","title":"Towards Safe Multi-Task Bayesian Optimization","version":3},"cited_work":{"arxiv_id":"2312.07281","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.07281","snapshot_observed_at":"2026-08-12T11:55:31.449528Z","title":"Towards Safe Multi-Task Bayesian Optimization","venue":"cs.LG","work_id":"a8afad67-efea-443d-98c9-a2eb08574fbd","year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.294684Z"},"links":{"cited_paper":"/paper/2312.07281","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:206ffaa59373700b2f4fe8cb3d0a8ae059b0c575051cb9830347bf28c97a29b6","observation_id":"9f0eaf30-9b00-48d3-b857-2b64acca4c88","resolution":{"observed_at":"2026-08-12T11:55:31.453993Z","resolver_source":"local_arxiv","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.729449Z","title":null,"venue":null,"work_id":"a70bb82e-a005-4f30-8ec9-c8ee8ab70ef9","year":2008},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.298060Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:a81322cc42d56d9d9ccb1cd9902247958e841012e3f33bf6fdc85aba158852e7","observation_id":"e46cfa26-6826-4e61-895c-8f86660740ea","resolution":{"observed_at":"2026-08-12T11:55:31.732585Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.719553Z","title":"Marco, F","venue":null,"work_id":"619d8781-bca9-486e-b615-a41e5642bb8f","year":2017},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.301258Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:c0a83eb5104b4e7997bc250a508a79b348426d3143f93415e30beda5e374c561","observation_id":"a090ec7c-2ac7-4a75-b17a-40beb5bdbeed","resolution":{"observed_at":"2026-08-12T11:55:31.723092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.710716Z","title":"Montali, J","venue":null,"work_id":"decfa63a-aee9-48f1-80f5-9b9951b1d8c7","year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.304266Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:33e1962bf517b4ac8a7136bc2c4027ee715828a2136270491f33a2180629409a","observation_id":"fea5a842-c410-4d29-857f-91824d5fb318","resolution":{"observed_at":"2026-08-12T11:55:31.713684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.701433Z","title":"Nayakanti, R","venue":null,"work_id":"b33666a7-465a-4fb2-a89f-36ac9df5eb6d","year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.307279Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:673956ed2eb7df9c0c4626da66a9a218e0e6f8609d31441eb7b2e2a5aad8836a","observation_id":"e67c10ab-2d85-4ed6-9d4f-e86e73e2f53e","resolution":{"observed_at":"2026-08-12T11:55:31.704964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":{"arxiv_id":"1912.03618","last_updated":"2020-06-06T03:56:29Z","snapshot_observed_at":"2026-07-06T08:42:52.741268Z","submitted_at":"2019-12-08T05:12:17Z","title":"Efficient Black-box Assessment of Autonomous Vehicle Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.03618","snapshot_observed_at":"2026-08-12T11:55:31.310323Z","title":"Norden, M","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.310323Z"},"links":{"cited_paper":"/paper/1912.03618","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:1f9cda0332aba28d9e968929ac317bda88be67f533ffe716b6c58ac05d04577f","observation_id":"5fb5b9f6-02e3-4771-9ba0-c6797505d601","resolution":{"observed_at":"2026-08-12T11:55:31.310323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.692055Z","title":null,"venue":null,"work_id":"c2f0c42f-61be-454a-b3fe-2e5434d2192a","year":1991},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.313638Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:8fef140916fe6ce3954490f4d965b57e181c541f2d8ffb138daac6ced6932598","observation_id":"64314b6d-e3ec-443c-a31b-fb70e9368e30","resolution":{"observed_at":"2026-08-12T11:55:31.695206Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.684114Z","title":null,"venue":null,"work_id":"e597e2e6-3578-4c71-b920-eb36e273ddb6","year":2016},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.316845Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:e1bb9c7b0be4c34b64855efe82ed1c00eac2be7c551a131169b03f6aa26af140","observation_id":"f1d63e41-000f-4f83-9431-b7e2017456fd","resolution":{"observed_at":"2026-08-12T11:55:31.686802Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.675559Z","title":"Pleiss, J","venue":null,"work_id":"ab970bae-5787-4873-b588-2a5f5f34e937","year":2018},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.319911Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:cdf8aad18fd348002dbd5ac917bb270e1ddf9d4aed5f173577d0c58832461bd1","observation_id":"4b406c37-74d4-43f6-b8e4-d4e930aa6e7a","resolution":{"observed_at":"2026-08-12T11:55:31.678425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.666252Z","title":"Poloczek, J","venue":null,"work_id":"63aa48ce-44bb-42bb-ad42-d7b7bc853e59","year":2017},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.322958Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:aff59bfca5a04ee41965ad3aa7f39589db7a2c8ea2b810afc105d4c719d5c06e","observation_id":"c69bb0fb-8efd-419c-8ef4-d7d3ab3fb19d","resolution":{"observed_at":"2026-08-12T11:55:31.669358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.657878Z","title":null,"venue":null,"work_id":"709da42d-06f5-480d-9ed8-bbb6dd7c1331","year":2005},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.326280Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:5c49ff8a4732a1c8457418532d16bb8f0222fc73eebf0c03f849597cfc632cd9","observation_id":"05b17926-86ca-4c46-b122-02d4aec3d2b0","resolution":{"observed_at":"2026-08-12T11:55:31.660608Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.649467Z","title":"Quinonero-Candela and C","venue":null,"work_id":"627b898c-c28b-47ef-b9c1-561743f4a16c","year":1939},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.329479Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:b1d5ed7492ad51fa4879d8790d3b4855bf88b464248ed509bd9cd3960e466fd3","observation_id":"18092e14-829c-4762-acbc-0b1b7d2b9c76","resolution":{"observed_at":"2026-08-12T11:55:31.652048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.641447Z","title":null,"venue":null,"work_id":"5b0e0727-3abb-4b90-b91b-f3d57005e991","year":2003},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.332565Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:385a7473ab44c568534483c3f99d869f53604a228ebe10ef8df40e82e5898735","observation_id":"6b5c0cc7-d335-4e7d-887f-289fd7d712fb","resolution":{"observed_at":"2026-08-12T11:55:31.644002Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.632745Z","title":null,"venue":null,"work_id":"a46fc83b-fdf7-4f11-9f80-bbdeaf16e58f","year":2005},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.335426Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:da34a39c3e4306a27db989a2d79e68d6a9ba0ef0ce94b4cdd61955e52b76b191","observation_id":"75021e12-3730-46b0-ac09-a5738a484ae0","resolution":{"observed_at":"2026-08-12T11:55:31.636170Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.622798Z","title":null,"venue":null,"work_id":"62598214-0715-40ea-abc0-9e571a29c26c","year":2004},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.337995Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:fbcf485fd1909bd070086d2e0e40ecb1aac9ce60b9cf317d48b523d538cda1a1","observation_id":"807606c7-cfe3-4edd-8fdb-90703e2e95ba","resolution":{"observed_at":"2026-08-12T11:55:31.626158Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.612418Z","title":null,"venue":null,"work_id":"b5bda49d-48a5-42f9-b04a-3764b1f66cfa","year":2021},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.340638Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:7e39f2f2858026323645bebea4f316c7251ae6e3ddd9abb5a2b5a94677b0afd6","observation_id":"c9360e92-f662-4485-8359-69454fa30444","resolution":{"observed_at":"2026-08-12T11:55:31.616125Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.601303Z","title":"Sch¨ utt, J","venue":null,"work_id":"e4c1c203-120e-4c8b-92be-bca08463f95f","year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.343133Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:923f0af2f1bc62915e3c2cc40947c8dfe9b5b07acbd0349c629b6a315924d636","observation_id":"69a2c3ea-ca14-44cf-acd7-7324c99777fe","resolution":{"observed_at":"2026-08-12T11:55:31.604779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.590935Z","title":"Segal, E","venue":null,"work_id":"30bebbe5-4801-41fb-8182-ef2945d0dee1","year":2021},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.345537Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:d92c7a02f3b8f644c4977507ac4346ceb33ed7e4cdf22066e8e96ae52d179175","observation_id":"b0d62949-2dd8-4d7e-8ffc-cde180959f16","resolution":{"observed_at":"2026-08-12T11:55:31.594596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.580987Z","title":null,"venue":null,"work_id":"d03ba8a0-8648-4cbf-b045-e23db54be082","year":2015},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.348081Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:90054d2a76c5ecf6f75f241edc2221f6224a1838975389c93b922cb301c6547b","observation_id":"6ff98a57-d685-417d-88d3-f65b133a318d","resolution":{"observed_at":"2026-08-12T11:55:31.584303Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.570817Z","title":"Shahriari, K","venue":null,"work_id":"0c8a294b-4900-4ea9-a45d-6ac2b332f68f","year":2015},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.350545Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:cc5f6adbad2550cd2b956999997d8737640fc5ed28a706eeb211cf615b501210","observation_id":"ffb756b0-cad6-4b4b-9d1e-4b1d0a80ad2c","resolution":{"observed_at":"2026-08-12T11:55:31.574221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2026-08-12T11:55:31.352965Z","title":"Shi and J","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.352965Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:b2031e5a2804cdf7094de4b8329e06ed796b9281574705716971ae519408ba15","observation_id":"abe6a1f7-2b80-4370-a119-9a18a6996c72","resolution":{"observed_at":"2026-08-12T11:55:31.352965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.555635Z","title":"Sinha, M","venue":null,"work_id":"fc819334-8bd3-4483-af90-f89c23fee86f","year":2020},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.355349Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:e4b623574b2f18689560616ed08add911ebf3b67c89b773753dabcfda5d909ed","observation_id":"c351ec3b-475d-46a3-a36e-7db16fec32c4","resolution":{"observed_at":"2026-08-12T11:55:31.558459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.547609Z","title":"Swersky, J","venue":null,"work_id":"4a45ce71-daff-4ebc-ba17-c2210387df1b","year":2013},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.357808Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:d04dda0b5c6f73690e01d25f137a8f622dcfa6a63483fed8c4984fdcbf441840","observation_id":"f515388d-4b1f-42da-b501-e9f0a18ffaf6","resolution":{"observed_at":"2026-08-12T11:55:31.550258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.539025Z","title":null,"venue":null,"work_id":"83eb8075-0211-4742-8e47-45d6d693ecfb","year":2009},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.360723Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:5ffbbc30f0330e535b9b16602732d22289baba06dacdb840a32b2722f83230a6","observation_id":"2244d439-e16c-471b-b576-a7fab72e5128","resolution":{"observed_at":"2026-08-12T11:55:31.541988Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.530256Z","title":null,"venue":null,"work_id":"e5d9221e-f68a-4280-9158-f971d58208aa","year":2000},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.363170Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:ef272c94ffec9b7c0c5bb10e718339af2df55d58d8467cbefadaf4b53469731a","observation_id":"dfd67061-efa2-4294-ac48-3a7f5321e8e7","resolution":{"observed_at":"2026-08-12T11:55:31.532854Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.521883Z","title":null,"venue":null,"work_id":"820e5980-cc40-4f6c-ad8b-d4f00d53f110","year":2016},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.365600Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:d939c4e59047d7019b8e74fa232dce19ebd31fed9c5b68a5f069aea9993941e1","observation_id":"930b323e-7166-476c-b402-7686b0be4d24","resolution":{"observed_at":"2026-08-12T11:55:31.524729Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"2003.00344","last_updated":"2020-02-29T20:33:48Z","snapshot_observed_at":"2026-08-14T07:51:21.972401Z","submitted_at":"2020-02-29T20:33:48Z","title":"An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.00344","snapshot_observed_at":"2026-08-12T11:55:31.368004Z","title":"Wickramarachchi, C","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.368004Z"},"links":{"cited_paper":"/paper/2003.00344","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:b892f46614aa924142e86d00edd34dcf932cfc4d06ca11621f8e9ea83730757a","observation_id":"aa706503-8dba-4630-8a6f-dd87fcbcc172","resolution":{"observed_at":"2026-08-12T11:55:31.368004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.513390Z","title":"Wilson and H","venue":null,"work_id":"7abbde3c-52b6-4b47-9a2d-ea1ada89c1bd","year":2015},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.370688Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:63ce03ee1a6e90abe51f8c81ccc2c18781efd402d05a9bee97881f7bdec08eda","observation_id":"2abd7502-469e-47bd-8e85-91727c3fcfcd","resolution":{"observed_at":"2026-08-12T11:55:31.516219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.503574Z","title":"Wilson, F","venue":null,"work_id":"c3792ede-4d5e-456e-9e17-d9c0f0425ae4","year":2018},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.373078Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:3dd9ee945d0dcc598482d966c761668847c1242ceb1b84fce5f3b890b822b8d6","observation_id":"74ea0561-0b65-4b2e-aaff-20dbb6ec2416","resolution":{"observed_at":"2026-08-12T11:55:31.506828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.494200Z","title":null,"venue":null,"work_id":"f8e0622a-6a3c-4bb9-b894-7e01fdccf2b2","year":2023},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.375408Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:fbc49df60748afe450098aff68e65a15b3c399c107bab578f62792520617f4ce","observation_id":"f2ba3f24-a5e3-425b-87f6-52b67078bdb4","resolution":{"observed_at":"2026-08-12T11:55:31.497206Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"2112.00964","last_updated":"2021-12-02T03:41:33Z","snapshot_observed_at":"2026-08-14T19:21:35.222012Z","submitted_at":"2021-12-02T03:41:33Z","title":"A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00964","snapshot_observed_at":"2026-08-12T11:55:31.377856Z","title":"overbudget","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.377856Z"},"links":{"cited_paper":"/paper/2112.00964","citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:887ac8bca9f0949a2f5361a914a5ad52f05f0105e27c49c62a9756926c06ea44","observation_id":"b083c26d-4a66-4811-a08c-9b341d20da1c","resolution":{"observed_at":"2026-08-12T11:55:31.377856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:55:31.893282Z","title":null,"venue":null,"work_id":"2f48a508-13bb-4653-952f-232408e3a3d2","year":null},"citing_paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-12T11:55:31.227095Z"},"links":{"citing_paper":"/paper/2411.17826"},"observation_digest":"sha256:9d62cd99d65a311bc87c355681502124b9719500eddffd56182752c750fa252b","observation_id":"96899aee-634e-4aa9-bc3a-44b1680e3ce1","resolution":{"observed_at":"2026-08-12T11:55:31.896577Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}}],"paper":{"arxiv_id":"2411.17826","last_updated":"2024-11-26T19:05:46Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-12T12:08:35.018412Z","submitted_at":"2024-11-26T19:05:46Z","title":"Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":60},"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 15 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2411.17826."}