{"as_of":"2026-08-14T03:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:17e03be3217f926ac4bf0cddacd774332ace1a6480756f6394dca46c66d713dd","coverage":[{"denominator":85,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":85,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:44:14.029793Z","state":"measured"},{"denominator":85,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":85,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2507.15138/citation-record","integrity":"/paper/2507.15138/integrity","json":"/paper/2507.15138/citation-record.json","paper":"/paper/2507.15138"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:44:08.621621Z","title":"Alvarez, Lorenzo Rosasco, and Neil D","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:08.621621Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:fcc870381c36e72b5ce9e9acad415866388a070b3b3ee335199293307c0f6407","observation_id":"17335fc6-a5d5-4f54-9462-b0a8e25c2bb8","resolution":{"observed_at":"2026-08-06T15:44:08.621621Z","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":"2026-08-06T15:44:08.691950Z","title":"Bayesian optimization of composite functions","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:08.691950Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:e92586ce0eed951a102acf2c85726a203677009e0b14f5fdce63773dac87ad26","observation_id":"c517b4ca-b39b-4226-9a55-42284c2f2e00","resolution":{"observed_at":"2026-08-06T15:44:08.691950Z","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":"2026-08-06T15:44:08.787122Z","title":"Using confidence bounds for exploitation-exploration trade-offs","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:08.787122Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:e75d8e691c7e1d703205860a1156868cc5fc4e010844423a7a09305c06577b02","observation_id":"3a15645e-0ba6-4f0f-bc58-3ff429c7df87","resolution":{"observed_at":"2026-08-06T15:44:08.787122Z","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":"2026-08-06T15:44:08.889643Z","title":"Schoellig, and Andreas Krause","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:08.889643Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:bd32d2f06e4b37dbded28558954aecced6de8cf7c6947b46317770121bf24056","observation_id":"6d33a5c1-eb4a-4616-ae29-1ac1dfe380be","resolution":{"observed_at":"2026-08-06T15:44:08.889643Z","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":"2026-08-06T15:44:08.946969Z","title":"Adversarially robust optimization with Gaussian processes","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:08.946969Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:3629c01a398ba1cfcccbf27442f52d16b368ef166f9664b009ed2b250be0efed","observation_id":"cb76a9ca-3ece-4dc3-bc05-fa9966d3a100","resolution":{"observed_at":"2026-08-06T15:44:08.946969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1012.2599","last_updated":"2010-12-12T22:53:04Z","snapshot_observed_at":"2026-07-06T02:20:34.514024Z","submitted_at":"2010-12-12T22:53:04Z","title":"A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1012.2599","snapshot_observed_at":"2026-08-06T15:44:09.031070Z","title":"Cora, and Nando De Freitas","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.031070Z"},"links":{"cited_paper":"/paper/1012.2599","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:99dd940f3994c2b833de082047f9cf7b33a22300c62193cd11ff2e1750aa8045","observation_id":"754d7bff-6ac8-4bf9-9f04-a64c6feb405d","resolution":{"observed_at":"2026-08-06T15:44:09.031070Z","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":"2026-08-06T15:44:15.217969Z","title":null,"venue":null,"work_id":"2e59452b-3afd-4f0d-b82f-bfe8f049a936","year":2011},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.126336Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:9842a300b97c694588f2fb01103dace38433b2acf4c7f85887906f4d9788bea8","observation_id":"d692624e-d0cb-497b-adee-97cedba4d862","resolution":{"observed_at":"2026-08-06T15:44:15.222074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.201906Z","title":"Rates of convergence for sparse variational Gaussian process regression","venue":null,"work_id":"d634711d-7881-453f-be97-dcea68ce740f","year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.241901Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:a6e5dfdf5d67aa28eed90d1c05dd785d4a016697fe7d68648c2fd118986611fa","observation_id":"0ba814f0-6edb-4058-b8dd-a8db0179392c","resolution":{"observed_at":"2026-08-06T15:44:15.207592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.187106Z","title":"Gaussian process optimization with adaptive sketching: Scalable and no regret","venue":null,"work_id":"992ea897-24d1-4c93-8730-ec312e142394","year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.323266Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:0622c9a5342ee51cd1fdf0e68a9f0d1e386bb4e69933774a14ee5a2629b7fbfb","observation_id":"cc759e75-6cc2-4b06-b2ed-70ba40d12942","resolution":{"observed_at":"2026-08-06T15:44:15.192498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.06290","last_updated":"2017-06-20T07:21:49Z","snapshot_observed_at":"2026-07-06T05:47:34.555344Z","submitted_at":"2017-06-20T07:21:49Z","title":"Cyclic hyperbolic Veech groups in finite area","version":1},"cited_work":{"arxiv_id":"1706.06290","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.06290","snapshot_observed_at":"2026-08-06T15:44:14.176541Z","title":"Cyclic hyperbolic Veech groups in finite area","venue":"math.DS","work_id":"f5c7d535-8cae-4988-86de-77a16e0875b2","year":2017},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.439594Z"},"links":{"cited_paper":"/paper/1706.06290","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:c0e12af0f7a15ab5dad40f8eeaaf4d07f4640426ad6e1dc3ed21242275dbc427","observation_id":"0286a64e-5c73-431d-bcbb-43a6d1eb1b08","resolution":{"observed_at":"2026-08-06T15:44:14.180748Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.170806Z","title":"Constantine, Eric Dow, and Qiqi Wang","venue":null,"work_id":"047e23f0-1876-4cd3-9bd8-b3d59f4e59a3","year":2014},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.521997Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:850bab1cd117e99623c1ccd7ced1c298b57cd839aef03203ddf446c48066cebb","observation_id":"fe87b1cf-212e-47b9-beba-51dc861c292b","resolution":{"observed_at":"2026-08-06T15:44:15.176986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.154962Z","title":"Lawrence","venue":null,"work_id":"0ad7b985-b2d0-4a04-a7a1-46764e114ca3","year":2013},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.625903Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:4d9d4eadd4c81c12cc432bde8f79b00c12d001da2ea3819dc270ee3c3e00aae5","observation_id":"fc9e7311-844f-4877-9d73-4ad5bff94c81","resolution":{"observed_at":"2026-08-06T15:44:15.159804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.139242Z","title":"Additive Gaussian processes","venue":null,"work_id":"a9789869-5def-4745-82c2-e69252448a58","year":2011},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.711241Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:958e34f15658f41630217fdccc5d31cb4ffff772f8fe67553e3417ef500fa5c7","observation_id":"200a4f43-3d42-4610-9a30-53f2dc9fdd66","resolution":{"observed_at":"2026-08-06T15:44:15.143827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.125113Z","title":"Duvenaud","venue":null,"work_id":"c8e0d402-0d03-448f-b4ec-1a84c6e4970d","year":2014},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.815699Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:ffee6b49ea1e8fa5d77359245e7f42c5cd92c447acd3c3cdecbdf31e31d93009","observation_id":"d6915d40-c4d7-4952-9f40-05df32cecb8d","resolution":{"observed_at":"2026-08-06T15:44:15.129149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.110183Z","title":"Kernel cookbook","venue":null,"work_id":"a709d836-556c-444a-bb6e-ad32916e8e91","year":2014},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.851768Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:0ef12716416e52efbe78bf1f37eea5b9f3297f8300d01abb19575a754af51219","observation_id":"6a7671a6-b576-4808-a587-69a37d385e18","resolution":{"observed_at":"2026-08-06T15:44:15.114399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.096311Z","title":"Turner, and Matthias Poloczek","venue":null,"work_id":"b209c531-8290-48c2-b9b4-f87096ccc340","year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:09.973868Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:37157586e5a66859e61d3598629376678214fb839a392c05a284d086fd3369b3","observation_id":"272b724c-c8b4-4510-903d-482747b78bd9","resolution":{"observed_at":"2026-08-06T15:44:15.100413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.00764","last_updated":"2018-01-20T03:49:23Z","snapshot_observed_at":"2026-08-03T19:33:48.460543Z","submitted_at":"2017-06-02T17:25:58Z","title":"Hyperparameter Optimization: A Spectral Approach","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.00764","snapshot_observed_at":"2026-08-06T15:44:10.093670Z","title":"Hyperparameter optimization: A spectral approach","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.093670Z"},"links":{"cited_paper":"/paper/1706.00764","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:363f0d2a031d8f849c69caa36c57718aa6b7f23d0269cc4b82e1c1a9352ab127","observation_id":"cee0e0cb-4ea3-4121-b257-2e84e9e15ffb","resolution":{"observed_at":"2026-08-06T15:44:10.093670Z","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":"2026-08-06T15:44:15.083494Z","title":"Priors in Bayesian deep learning: A review","venue":null,"work_id":"a11abe72-91f2-49ea-bb6e-9bbec2d2688f","year":2023},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.212464Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:8dc91cb9a33bc847c9277076ec3ee28f00f42840c9c146053af34a6e0f5d245d","observation_id":"7abf3e69-8286-4a70-81bd-6245b5d16a31","resolution":{"observed_at":"2026-08-06T15:44:15.087395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-06T15:44:10.338498Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.338498Z"},"links":{"cited_paper":"/paper/1807.02811","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:a0fb0a3514968cf5ea5c2bd8aee9d9b7be1cc1ebecdfdf28a4875da8f56007f4","observation_id":"1d8097f5-ccc8-4230-b404-f28773093d2d","resolution":{"observed_at":"2026-08-06T15:44:10.338498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12045","last_updated":"2024-03-28T01:58:39Z","snapshot_observed_at":"2026-08-13T16:51:10.234800Z","submitted_at":"2022-01-28T11:17:12Z","title":"A loss discounting framework for model averaging and selection in time series models","version":4},"cited_work":{"arxiv_id":"2201.12045","doi":null,"metadata_source":"pith","pith_arxiv_id":"2201.12045","snapshot_observed_at":"2026-08-06T15:44:14.123809Z","title":"A loss discounting framework for model averaging and selection in time series models","venue":"stat.ME","work_id":"74e92d78-03c4-4d3e-b378-83d261ea66ad","year":2022},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.449523Z"},"links":{"cited_paper":"/paper/2201.12045","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:21f916ad4d2c5e74a1a341f3af1089e7c281963d5dc7367e3b2af49510dfd1cd","observation_id":"39a5af55-9987-4d88-96ad-4e49b36fe5b9","resolution":{"observed_at":"2026-08-06T15:44:14.128335Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.070422Z","title":"Weinberger, David Bindel, and Andrew G","venue":null,"work_id":"fa6cfe9b-59e5-4702-a451-a6a68e3759fd","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.565651Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:28f356863c70ffe7114044e6e30fab347333ad60f6597a39737c922652e31e47","observation_id":"cbdebe84-7c88-4495-98e6-311c1df259a1","resolution":{"observed_at":"2026-08-06T15:44:15.074364Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.057203Z","title":"Bayesian Optimization","venue":null,"work_id":"be8893af-b0e4-4d8c-bcaf-64ad43372ece","year":2023},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.658497Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:54124c537c5c9eedadab843b1e8ae61b3443fa473bcf013ea995c42ea92e38d4","observation_id":"5fe909ab-26ec-432c-bf37-899da4f39ac4","resolution":{"observed_at":"2026-08-06T15:44:15.061039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.043024Z","title":null,"venue":null,"work_id":"99337aea-ae80-4d1e-9e86-15f24d042204","year":2001},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.786765Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:ffd6a9e8baea614575eb7ef0801f701a7e4148346c76bebb66377a5fd121ef37","observation_id":"b557cdb5-d649-4c7f-b6dc-6b3dbcf2c89d","resolution":{"observed_at":"2026-08-06T15:44:15.047014Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.026987Z","title":"Batch Bayesian optimization via local penalization","venue":null,"work_id":"4d5443fe-f033-489f-8f5c-7d03159fb4f8","year":2016},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.881208Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:d0a15626293374b9c49c9cc631944c46599eaa30832b209e2018a6686a7e54ad","observation_id":"031fe49d-8951-4586-85ab-15d36bf0a4de","resolution":{"observed_at":"2026-08-06T15:44:15.033141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:15.011144Z","title":null,"venue":null,"work_id":"47634e61-fe54-43ba-8de7-d1ae747a9e3e","year":2020},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:10.980094Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:22759abe1642db9350e9e9f80434f4bd134cab2b2ef3c2e3b1689ca975010c77","observation_id":"31c3069a-1042-4ffc-8aee-fc50b16093ee","resolution":{"observed_at":"2026-08-06T15:44:15.015113Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.996977Z","title":"Completely derandomized self-adaptation in evolution strategies","venue":null,"work_id":"fb9d8979-79a6-4996-910e-97c086f3ed33","year":2001},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.111913Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:62b83fce3069ff56d98f5ba78c89e11a76dd79bd50423d7c44f202846ed53738","observation_id":"795b0d3a-a1b4-4872-ba99-ed9d58a39727","resolution":{"observed_at":"2026-08-06T15:44:15.001244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.983622Z","title":"M¨ uller, and Petros Koumoutsakos","venue":null,"work_id":"38f41b4b-bb9a-4a87-ae90-cd8c24058812","year":2003},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.236444Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:0ce184caf3fbe33f2ee8c12b308ef5399948d5d4f01767ed9fc232c95fee4da2","observation_id":"e969227e-e2ea-482c-8ddd-64491122b00c","resolution":{"observed_at":"2026-08-06T15:44:14.987945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.970502Z","title":"Osborne, and Hans P","venue":null,"work_id":"6a83a3a0-8051-4033-986a-df564d9eaa67","year":2022},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.389936Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:972ad1e47e90237f20a268f63791624901459bd01ad33cbd72397af125719df1","observation_id":"005e2002-c90a-483b-8435-aba76106861c","resolution":{"observed_at":"2026-08-06T15:44:14.974520Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.956695Z","title":"Lawrence","venue":null,"work_id":"c9fcce03-5f45-4110-b02f-2da106893afe","year":2013},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.497877Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:e0254df52d97e38a990d5f97346b16af3c9f022bde7d814c0dc1850df371c28f","observation_id":"0819c41c-3367-4571-ac7d-6adde5fbcd06","resolution":{"observed_at":"2026-08-06T15:44:14.960804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.942718Z","title":"Hoffman, and Zoubin Ghahramani","venue":null,"work_id":"922caaac-885d-4a9d-82f1-ea74447badf5","year":2014},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.596783Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:02ac242e09316a42e4024691bfbf0bb96e28095b6bd14dba1bf0d76fd2b87ebc","observation_id":"59cd1abe-5d07-4655-89ba-5d501946cb77","resolution":{"observed_at":"2026-08-06T15:44:14.946652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.928360Z","title":"Hoffman, Eric Brochu, and Nando de Freitas","venue":null,"work_id":"64950ea2-8abc-4438-89e5-c1bc75c926f8","year":2011},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.660566Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:9f0333ab03e843069972a8487348754bdd38e48e894bafc6497e28453d591a62","observation_id":"8738d790-25bd-4567-8662-8c8c4a4298b2","resolution":{"observed_at":"2026-08-06T15:44:14.932930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.913637Z","title":"Hoffman, David M","venue":null,"work_id":"a0ab6af4-b747-498d-93b1-e16fa9df0ca8","year":2013},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.728445Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:2038eeb8ae0828754a03f2b499469f7a3d1bb1aa3272d84abb1e732e57370be6","observation_id":"43cc9556-0347-4b7c-9621-2fa0e1097fd6","resolution":{"observed_at":"2026-08-06T15:44:14.917481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.899982Z","title":"Jones, Matthias Schonlau, and William J","venue":null,"work_id":"4d65daf5-74ed-414f-84f3-02b5e32c4804","year":1998},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.863610Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:ac571b3cca9cccb24ef7699d391f028bfa31777adea6b0928af320b8737dd07a","observation_id":"1eb753e7-82f7-4e77-baca-0f213aabd6c7","resolution":{"observed_at":"2026-08-06T15:44:14.903988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02582","last_updated":"2018-07-06T22:44:10Z","snapshot_observed_at":"2026-08-10T06:45:18.132766Z","submitted_at":"2018-07-06T22:44:10Z","title":"Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.02582","snapshot_observed_at":"2026-08-06T15:44:11.965815Z","title":"Sriperumbudur","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:11.965815Z"},"links":{"cited_paper":"/paper/1807.02582","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:c3a860cce6839fe899f396052ebeff98409582cfd8b073c46e4246af1faae14a","observation_id":"1cad1bbe-c871-4476-b723-64560683c467","resolution":{"observed_at":"2026-08-06T15:44:11.965815Z","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":"2026-08-06T15:44:14.886256Z","title":"Oliva, Jeff Schneider, and Barnabas Poczos","venue":null,"work_id":"5c4c18c6-6829-44de-be64-934fd671d401","year":2017},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.062146Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:92edf86d535d00afb2fc32a718bfc0b7217c22af8b84f04bf7a3b3a59dadb553","observation_id":"21b7ddca-1f69-4701-8dc9-3daa106d92f9","resolution":{"observed_at":"2026-08-06T15:44:14.890382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.871970Z","title":"Parallelised Bayesian optimisation via Thompson sampling","venue":null,"work_id":"f17989d8-5aa4-48d9-b5d3-bbad64cc028a","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.138486Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:518e2b465c9c4055f145e6a6ae04c89f058418f6281b640ae4e06bac2af8ca0a","observation_id":"9446c159-fcd6-461e-b521-2cf03595e6f1","resolution":{"observed_at":"2026-08-06T15:44:14.876187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-06T15:44:12.201249Z","title":"Kingma and Max Welling","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.201249Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:a6d7c05433a3b5f99709f4a2268b29bff0c7eb03bb23cd63bc46dc787319687b","observation_id":"fe67ebea-d1cb-466d-8b62-b4b4879dcb26","resolution":{"observed_at":"2026-08-06T15:44:12.201249Z","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":"2026-08-06T15:44:14.858078Z","title":"Adaptive Gaussian process bandits with heteroscedastic noise","venue":null,"work_id":"01163c6a-6f30-4b92-8393-783b9a287f82","year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.293254Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:8c88f7e29518550e1870cf43c6714f1d7ea66874c9e558c499367fd0d57ac5a2","observation_id":"0826040f-ea27-4d4e-9523-c3bae82a4548","resolution":{"observed_at":"2026-08-06T15:44:14.862678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.844419Z","title":"Fast Bayesian optimization of machine learning hyperparameters on large datasets","venue":null,"work_id":"012ef665-a814-4acb-977a-2cf4ab5c657a","year":2017},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.350776Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:9bbeefd3878c898034dc3bd4a987e4b15f48157b74a981b47cc1c9088373e818","observation_id":"f06987ec-9dc6-4f29-ae87-69d856ec3325","resolution":{"observed_at":"2026-08-06T15:44:14.848556Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.829665Z","title":"Accurate uncertainties for deep learning using calibrated regression","venue":null,"work_id":"77f9fcb0-f07d-442b-a175-8d9df6656ebc","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.406250Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:b34fc1ac06d4f00522ebe4338c2af9b7c755ddea7eb33d1ae73e5ddb07ae47d5","observation_id":"4ad710e4-f4d3-4dce-a2a8-42c1226e02a7","resolution":{"observed_at":"2026-08-06T15:44:14.833807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.815248Z","title":null,"venue":null,"work_id":"4b1236ba-8b7a-436b-8f8a-d661fa6e5eba","year":1964},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.483859Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:aa6d7610e678aaf80cc389118552719cb7c7a082d898fd6f4543b0825244cc1b","observation_id":"18f38383-a0cf-4305-bd20-73eb513a6965","resolution":{"observed_at":"2026-08-06T15:44:14.819952Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.801354Z","title":"Le, Alex J","venue":null,"work_id":"4dc587bf-76aa-4393-8a75-18a7898c75ea","year":2005},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.570968Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:224ff429f843df605771253b83907a09ae643074fb8c27e5bdb31e4e6db8b59e","observation_id":"d53bb1b4-a58c-46dd-9c79-37e048ee7920","resolution":{"observed_at":"2026-08-06T15:44:14.805639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.786846Z","title":"Re-examining linear embeddings for high-dimensional Bayesian optimization","venue":null,"work_id":"e06902b8-a560-4a34-bd71-33b4979738c8","year":2020},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.661823Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:279506480bfd8cd2749c3e450b85f1c1ef87b36bb59e5e0655d6e9bd6863cc71","observation_id":"c5bd3666-adb0-4ebe-a47d-b2a45b310c3e","resolution":{"observed_at":"2026-08-06T15:44:14.791191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.773685Z","title":"Hyperband: A novel bandit-based approach to hyperparameter optimization","venue":null,"work_id":"733126b9-22dc-4ab8-80e6-a0d4149ab98b","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.743812Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:c58406283e5ea32d8b64258e7910572d80507e189ee1d4feb7c178d8de768261","observation_id":"1f7732be-b6c5-4748-97eb-ea42807c0013","resolution":{"observed_at":"2026-08-06T15:44:14.777763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.759953Z","title":"Gaussian process regression with het- eroscedastic residuals and exact marginal likelihood","venue":null,"work_id":"b6ff4e17-1953-4a9f-a629-8af0207a4e1a","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.786176Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:4ffddcd24c8256ca93cb8461b26eccf8bb9bf223e922399dee176f2166d80e3f","observation_id":"7ae4d8d2-a18b-4b99-8801-8f0cb1da5732","resolution":{"observed_at":"2026-08-06T15:44:14.764355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.745836Z","title":"Gaussian Processes for Machine Learning","venue":null,"work_id":"0e3d0030-838c-4936-8152-89531a6180d1","year":2020},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:12.944667Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:231e17b6379469f4779b5f04b2a2f154b45c27eba8840f72b8b37bb335806532","observation_id":"ef9c99dc-b584-48fb-880c-acdca6ffb7d5","resolution":{"observed_at":"2026-08-06T15:44:14.749941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.732588Z","title":null,"venue":null,"work_id":"1180f382-6b9d-45ef-94a1-a967b2ad61ba","year":1998},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.040575Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:13c0c4f2072037a5b0b2dc326a031b685333749eb4f41ac07978c59fbeee3762","observation_id":"04eb1342-c00e-4b4d-b772-f7ad3d7f1712","resolution":{"observed_at":"2026-08-06T15:44:14.736579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.718679Z","title":"Practical Bayesian optimiza- tion in the presence of outliers","venue":null,"work_id":"cd3cb5e9-c001-4683-a52d-a373b6fee45e","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.219152Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:7582a27e885736eb2d58f279832a9e9c4994fc9aaf02812498a209f3afbb0d68","observation_id":"7dc080f9-7ce0-450c-bc31-9408f697251f","resolution":{"observed_at":"2026-08-06T15:44:14.723007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.705112Z","title":null,"venue":null,"work_id":"1b53f93b-b15c-47be-922a-4ebc8f56be8b","year":2016},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.391206Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:0152d0b6293f5a870bd036711b5acab91a2ddc7a3936e45cf60a034fe28953da","observation_id":"358c297f-1670-4478-acff-407d1ce4425b","resolution":{"observed_at":"2026-08-06T15:44:14.709051Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.690225Z","title":"The application of Bayesian methods for seeking the extremum","venue":null,"work_id":"7ead0298-3657-4182-9ee4-dcefec8aeb05","year":1978},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.540498Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:491f44aaeea29ae0f2eb63a184e1868f3a2ab22f910546c982d88860f2f9f08d","observation_id":"7222728f-1d13-4806-a5f3-0e721b733034","resolution":{"observed_at":"2026-08-06T15:44:14.695306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.675803Z","title":null,"venue":null,"work_id":"5f4913b8-4132-4eb0-a0f6-5596bba71716","year":2010},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.673651Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:3f9b3431a94c68d2d85071267de22055e303869cad53969581ed9e78d0df63d8","observation_id":"6569b4b4-fa9d-4574-85aa-beddc2875a19","resolution":{"observed_at":"2026-08-06T15:44:14.679796Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.662309Z","title":"Recent Advances in Bayesian Optimization","venue":null,"work_id":"139c7b79-5673-4d89-a4e4-f780d1dd1994","year":2022},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.861527Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:d444b53c99b30eed5c719344f3fad881160efb7266312e24fbd526b42ffbb3c7","observation_id":"f7746ebc-a05b-493a-a4e3-f8520aa1c73a","resolution":{"observed_at":"2026-08-06T15:44:14.666315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.649004Z","title":"Gaussian Process Approximation & Uncertainty Quantification for Scientific Machine Learning","venue":null,"work_id":"8406bf7d-5837-4c7b-9762-56df93c5264a","year":2023},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.897364Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:18252e3e825d98dcef83814a0b3c6d2c49c66e93d650142f7c33c6b85a46eb68","observation_id":"f0a1db48-b478-4265-ab48-0e13086ecff0","resolution":{"observed_at":"2026-08-06T15:44:14.653327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.634895Z","title":"Oakley and Anthony O’Hagan","venue":null,"work_id":"e620d5a0-7b03-49e4-a00a-9459643775d3","year":2004},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.901412Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:498384daad40c4bdad190b0531c7dee14e627cc41c4843dd5ce4b2ddcceae96a","observation_id":"6a1d8c7a-78e7-4beb-8da9-0822078a5056","resolution":{"observed_at":"2026-08-06T15:44:14.638959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.621475Z","title":"Random features for large-scale kernel machines","venue":null,"work_id":"f11ca989-5be2-492e-99ee-8ecbfcd71c42","year":2008},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.906286Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:eb8383ce07d37cae7da4343c017e7c9a046e3bd3c374007e6e3b82519b150cad","observation_id":"34c9a1ef-33b8-4964-bdd6-b7fe0a8c3453","resolution":{"observed_at":"2026-08-06T15:44:14.625503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.607043Z","title":null,"venue":null,"work_id":"338028ca-6839-4e02-be86-b8550f86f280","year":2006},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.910483Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:bf9e63dc812704a846b1534afedbbf174660e1572b238696e7f43471a5582d8f","observation_id":"4090c704-3939-449d-9fdd-0570dfc284c8","resolution":{"observed_at":"2026-08-06T15:44:14.611079Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.593216Z","title":"High-dimensional Bayesian optimization using low-dimensional feature spaces","venue":null,"work_id":"df3d91f4-d28b-40a7-b3a6-04612a7a2c92","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.914652Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:ef60e6cd39a1185ebb39174d32a539916ef31b083f051ce595c5930a12aeb9c8","observation_id":"50869bdd-355b-4e60-b342-6f375e212b79","resolution":{"observed_at":"2026-08-06T15:44:14.597313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.579511Z","title":"Learning to optimize via posterior sampling","venue":null,"work_id":"eeec6b02-ed7a-4228-9dde-6d494aa909d3","year":2014},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.918923Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:af57ce8ddc515cc03fdfa3990c78c4c3658eddbcba20b313be54e42d2e2ea3f6","observation_id":"7ac71d43-8903-487a-8956-bd2541879643","resolution":{"observed_at":"2026-08-06T15:44:14.583834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.564894Z","title":"A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions","venue":null,"work_id":"1883f4f1-5bcf-4eb8-b910-dcf4f29a7a48","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.923157Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:f78cc06a470b08afd93ead49cdaec527e06462de10c31ece75bc1ff912875c3c","observation_id":"438f06c5-3734-4bc5-a89c-9d92eec554af","resolution":{"observed_at":"2026-08-06T15:44:14.569041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.550273Z","title":"Gaussian processes for machine learning","venue":null,"work_id":"a9fe7d9a-2332-47e8-a357-b66e16d69529","year":2004},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.927367Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:2b38c9407010b6f89a8e172e1c4156e12161ce069343995d83cc6d74a85a5a8e","observation_id":"2fc4c7b4-f77d-466c-96b6-4cde95ea58f7","resolution":{"observed_at":"2026-08-06T15:44:14.554942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.535452Z","title":"Adams, and Nando De Freitas","venue":null,"work_id":"b45f9879-1b9a-43a3-81a3-882b3c136e16","year":2015},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.931201Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:8ca10322b53a796fe0222f13e8e93db0a8e71798c323922ef5795fcf607bcc43","observation_id":"ff2b3283-d00c-487f-b6dc-c76a3cf9b3e3","resolution":{"observed_at":"2026-08-06T15:44:14.539803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.521342Z","title":"Sparse Gaussian processes using pseudo-inputs","venue":null,"work_id":"78eff4c6-6fe8-4929-8528-4e5d6bc01a0a","year":2006},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.935516Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:22eff093bbb6d72d03d757af7f8dcb4148ab85dc0541aba4c9ac10e482b47487","observation_id":"79a028f3-b8ef-40f1-8318-86138d7b2d73","resolution":{"observed_at":"2026-08-06T15:44:14.525560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.505341Z","title":null,"venue":null,"work_id":"98c933b5-70ed-4c23-9252-94284bbaddb8","year":2012},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.940089Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:d0588539063420c568417842131167d24263b2d669655d24c107e94db277f0b1","observation_id":"26990536-bdcf-43d1-a85f-91f081978586","resolution":{"observed_at":"2026-08-06T15:44:14.510891Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.491524Z","title":"Scalable Bayesian opti- mization using deep neural networks","venue":null,"work_id":"958825c2-e04c-4e6e-9f95-af055f9e7dc1","year":2015},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.943953Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:c94026093676a4e782f60a0eeebfbd7ef7c74ecfd9f96adfb169b9ac3085eef1","observation_id":"135eb801-cd35-4a50-8173-bfddcaa1bdaa","resolution":{"observed_at":"2026-08-06T15:44:14.495429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.477393Z","title":"Bayesian optimization with robust Bayesian neural networks","venue":null,"work_id":"797507f9-f682-467e-b731-7ff1b6378c16","year":2016},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.947577Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:f02a1c02e1f0673d00e78eb68ca0b76aeff4f59444a6aba64dda28ab86d050bf","observation_id":"aa3eac34-3717-42de-89c0-ff026763912f","resolution":{"observed_at":"2026-08-06T15:44:14.481536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.463956Z","title":"Kakade, and Matthias Seeger","venue":null,"work_id":"68cea244-b4bc-46f9-838d-2dacca02ef83","year":2010},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.951331Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:25307b97160ad29110dd480a3a124299a4e7d780b6c0abf1f940d48e91f4c658","observation_id":"9c08e800-d8a3-49b8-bfe2-7dc47c459464","resolution":{"observed_at":"2026-08-06T15:44:14.468158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.450619Z","title":null,"venue":null,"work_id":"c2e6b248-e2c8-446d-867b-897ff11c15a8","year":1999},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.955220Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:47508743e7ec1ccd6420a347f850c2fd25cbd0d6d5c00ebe839bab35073784bc","observation_id":"324fdf54-3c40-4d11-9922-6a308f55bcc9","resolution":{"observed_at":"2026-08-06T15:44:14.454500Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.437434Z","title":"Stagewise safe Bayesian optimization with Gaussian processes","venue":null,"work_id":"0d3953ab-fe21-41e7-9401-1b297d1a668d","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.959333Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:d8ea2fef7c78c9ff16c2c9865292acde13c039bf072ebca081ecc014cadf3c55","observation_id":"74ac2f62-30bf-4241-8e28-7140950cfb49","resolution":{"observed_at":"2026-08-06T15:44:14.441635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.423379Z","title":null,"venue":null,"work_id":"5dcf6bff-472c-4681-8f20-6b0512a24c58","year":2013},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.963249Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:8a38976bf7ea27f8084836403f2564ecf935a29f5cba0ccaf1c3ac407fca4be1","observation_id":"f37f09ce-c8d1-4f53-9ce9-a1853d43816c","resolution":{"observed_at":"2026-08-06T15:44:14.427892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.409217Z","title":"Teckentrup","venue":null,"work_id":"c91966d2-784d-4dd4-be00-8b65ea11879c","year":2020},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.967328Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:a8d6ff632444cae26659f4da3637c78ba974560018c0cf8b8cbd82d98bca6336","observation_id":"934fb9d6-25a3-42a5-b865-389909617515","resolution":{"observed_at":"2026-08-06T15:44:14.413366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.395147Z","title":"Variational learning of inducing variables in sparse Gaussian processes","venue":null,"work_id":"7c209ddd-20de-452b-a704-aef8d982d978","year":2009},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.971260Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:7426309f6f2f8b1d79e794593ae862af12a6a4ebc26be9952e5632b1c53f9840","observation_id":"9cc2a611-b4a1-4486-9480-9fb4eaa7d39d","resolution":{"observed_at":"2026-08-06T15:44:14.399133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.380378Z","title":"Bayesian optimization is robust to noise","venue":null,"work_id":"2a0740b8-a9a1-4d18-b7eb-6798b66da33d","year":2021},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.975738Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:e526517766b4fddc659e892c13112f0b140f06c98b91381bb67de0d5a44e5127","observation_id":"fa7a6a9c-212b-4708-b633-cb8729471ae8","resolution":{"observed_at":"2026-08-06T15:44:14.384678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.366695Z","title":"Information-theoretic regret bounds for Gaussian process optimization in the Bandit setting","venue":null,"work_id":"bf1a5ae9-5f55-4cd4-9006-ccbbf40bb2b0","year":2021},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.979672Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:f16842545165bd83ed8f7016c4e523c3fb2f3dbc56ff437ad8b0502c3368244e","observation_id":"91d06b02-1ff6-4aac-85bd-4af4be316cb3","resolution":{"observed_at":"2026-08-06T15:44:14.371059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.352558Z","title":"Uncertainty quantification with Gaussian processes","venue":null,"work_id":"dbce0e97-9a2b-499b-9c50-bbe4720bf33a","year":2020},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.984575Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:2f5b6b17798b606aa796a528c6c50e2c938617da52646d89fbc60c146846cabc","observation_id":"f6d1606e-a23f-418a-bd86-be4f851985b9","resolution":{"observed_at":"2026-08-06T15:44:14.356628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.338330Z","title":"Bayesian optimization in a billion dimensions via random embeddings","venue":null,"work_id":"31e2dea4-1030-4816-8570-ed9a9ac7501a","year":2016},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.988466Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:0d498322d3743099f04d6f4b5e5286fde213c7943ac33b2ea13c25df355b8d8d","observation_id":"e13b0084-2815-40a4-859e-45440562f3ab","resolution":{"observed_at":"2026-08-06T15:44:14.342417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.324156Z","title":"Optimization as Estimation with Gaussian Processes in Bandit Settings","venue":null,"work_id":"0712a5ac-13c3-458e-a063-4bc96eeed55c","year":2016},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.992512Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:4b943ac9a902a65ff2236de85dddbbb4248554454dafb7395d2fca8a429e3371","observation_id":"379ed453-65b4-4219-ac7e-770dfe3c7ec4","resolution":{"observed_at":"2026-08-06T15:44:14.328394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.309778Z","title":"Max-value entropy search for efficient Bayesian optimiza- tion","venue":null,"work_id":"918599f3-6bd9-44fa-98cf-f663a69ea1d3","year":2017},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:13.996480Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:5df5408e99a3920be5c8769141686195a181b4d96a39a1d7d8f23e2bf67a1c74","observation_id":"072674b6-eaa6-4ff7-b1a9-dccf44275dfa","resolution":{"observed_at":"2026-08-06T15:44:14.315063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.295855Z","title":"Batched large-scale Bayesian optimization in high-dimensional spaces","venue":null,"work_id":"d25c2919-755b-4612-958b-37c4c4ad3c4c","year":2018},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.000546Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:e8ccaa72db682a608fda85538ba72784e1c7b1cfa5b4ee379b2b46c8c808a66c","observation_id":"55684b7e-cb7d-4fef-8ab5-17d596e2b873","resolution":{"observed_at":"2026-08-06T15:44:14.300153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.09778","last_updated":"2022-07-19T03:01:15Z","snapshot_observed_at":"2026-07-06T11:01:54.772462Z","submitted_at":"2021-04-20T06:27:14Z","title":"Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression","version":2},"cited_work":{"arxiv_id":"2104.09778","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.09778","snapshot_observed_at":"2026-08-06T15:44:14.068726Z","title":"Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression","venue":"math.ST","work_id":"4c0b07b5-8d3e-481c-b1a7-93ffd94dd34e","year":2021},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.005530Z"},"links":{"cited_paper":"/paper/2104.09778","citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:48ed58dd35b8b73517a80eca63008770258fcbd78f85e393dfd475bee0a24558","observation_id":"c9bf8eb5-c84e-4778-94c5-1d8b6d5b9033","resolution":{"observed_at":"2026-08-06T15:44:14.075032Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.281015Z","title":"Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records","venue":null,"work_id":"1883bf79-39b2-4132-9db8-3bf24404707d","year":2021},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.009609Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:1562b87bfacde5d91f02519e4188e629807a831b2c0cac3a22aad82de9c0717c","observation_id":"e782101b-8566-477e-9b46-9515daa7a56a","resolution":{"observed_at":"2026-08-06T15:44:14.285827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.265122Z","title":null,"venue":null,"work_id":"9026e45c-a3cf-4cd4-9b96-e88257ee09dc","year":1996},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.013502Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:b863e29b89e502fc6d887de722212d91a0771b2aa6eef2d0990cc244b29b0a7d","observation_id":"71d93353-d123-4fbe-b0cf-601e83f76021","resolution":{"observed_at":"2026-08-06T15:44:14.269566Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.250992Z","title":null,"venue":null,"work_id":"ee33ff14-9d66-4af6-88a9-13e358c3ea73","year":2000},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.017857Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:2a24f19bc7b5f80c9da5cd6a14d70bdc67d06d361d2125d02f34e3f0cbfda0ec","observation_id":"dc0adafe-9e32-40cc-8311-4717b539e655","resolution":{"observed_at":"2026-08-06T15:44:14.255247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.235715Z","title":"Gaussian process kernels for pattern discovery and extrapolation","venue":null,"work_id":"b54e2c2d-17af-4b3a-8771-d35e05db70f2","year":2013},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.021784Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:eabbd89a7397a994c684b754bc5de2e8973f9e5db2cb2237f2d4c203247e6e70","observation_id":"66a2c3b8-7d87-45e7-9afe-191e7d570fc4","resolution":{"observed_at":"2026-08-06T15:44:14.240043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.220601Z","title":null,"venue":null,"work_id":"2cfb245c-4bb8-4e63-b7bc-d19211285ef5","year":2016},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.025778Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:beb14410f141658d88fdf417372706e68bbe80bc41f38b9631e35d2b2d146211","observation_id":"da817447-7ab3-47fe-aa1d-ec3ca07d8805","resolution":{"observed_at":"2026-08-06T15:44:14.224882Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T15:44:14.206636Z","title":"Frazier, and Andrew Gordon Wilson","venue":null,"work_id":"2625f601-9e93-47a2-988c-1ec131391511","year":2019},"citing_paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T15:44:14.029793Z"},"links":{"citing_paper":"/paper/2507.15138"},"observation_digest":"sha256:91f56c4776a84d0641b6e8c8c7f6f524905783fcc2d64fb4ffc5b8feca8bec66","observation_id":"8c924bfa-0719-4208-802a-1fe2d600d826","resolution":{"observed_at":"2026-08-06T15:44:14.210973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.15138","last_updated":"2025-07-20T22:27:06Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-08-13T07:06:59.858946Z","submitted_at":"2025-07-20T22:27:06Z","title":"Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling"},"reference_resolution":{"displayed":85,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":24,"verified_exact":1,"verified_fuzzy":58},"total_outbound_references":85},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2507.15138."}