{"as_of":"2026-08-20T15:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f4184a0415aa9a987264e58a87e9721af2fbc68ddbefee58944257a8e0c7a6c6","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:39:07.517878Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2504.20307/citation-record","integrity":"/paper/2504.20307/integrity","json":"/paper/2504.20307/citation-record.json","paper":"/paper/2504.20307"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:39:07.950022Z","title":"Cambridge University Press, Cambridge, UK (2023)","venue":null,"work_id":"7319e2bc-fc52-4982-8c68-66ed723d7ccc","year":2023},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.380542Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:e0aec913d405c447fe4b9a26712826247abe463409e80f387f30cb1514f60944","observation_id":"3056ce68-4da2-4ec3-ac43-1219d2e74acb","resolution":{"observed_at":"2026-08-16T05:39:07.953871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.939158Z","title":"Machine Learning, 1–30 (2022) 17","venue":null,"work_id":"f1a31b43-0058-436d-a20f-de7cdc29682d","year":2022},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.385344Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:7ae6a6060107d31202a52c03fa6712bb60811d2a09c9affd637e6aabc06d5006","observation_id":"d77a96e2-80b7-4a8e-80bc-c895d2e062c1","resolution":{"observed_at":"2026-08-16T05:39:07.942907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.928112Z","title":"Machine Learning 113(5), 2701–2731 (2024)","venue":null,"work_id":"af4aea89-b20d-4abe-83ef-841eda1a6b2d","year":2024},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.389251Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:bd907070183cc840ec60190ad5ff5b10f4dc76037e7e01e2a71a9fbc075365a8","observation_id":"debe126e-b6de-4332-b2ac-79e6802dc2fb","resolution":{"observed_at":"2026-08-16T05:39:07.932029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.916463Z","title":"Advances in Neural Information Processing Systems 24 (2011)","venue":null,"work_id":"106c3ba6-df44-42ae-8b0d-e2eb0e31da41","year":2011},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.393182Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:00491451b4887cccf37582aef86a765d48de8b52df3f49db3bf1d204c9591dd8","observation_id":"53c11ba4-c925-49e7-8b66-571192ed62b8","resolution":{"observed_at":"2026-08-16T05:39:07.920602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.11051","last_updated":"2022-04-23T11:07:13Z","snapshot_observed_at":"2026-08-19T20:04:48.618356Z","submitted_at":"2022-04-23T11:07:13Z","title":"$\\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.11051","snapshot_observed_at":"2026-08-16T05:39:07.396776Z","title":"arXiv preprint arXiv:2204.11051 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.396776Z"},"links":{"cited_paper":"/paper/2204.11051","citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:7bb44fb1d0c6607380248f0b4fe16d66ec09a3377131132f3f1098be34661536","observation_id":"9916dcce-d7c9-476a-a251-c95ef0f328cf","resolution":{"observed_at":"2026-08-16T05:39:07.396776Z","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":"2026-08-16T05:39:07.904680Z","title":"In: International Con- ference on Automated Machine Learning, pp","venue":null,"work_id":"786904e9-8dde-455e-bcbf-b08b6d4864af","year":2022},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.401137Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:13a71d41cd732c75c85ef39d6c4b6cd2c62bbf8d7b8eaebaeabae0b4fa7ddb57","observation_id":"0a93cfbf-bff5-456a-8f52-eed22cbabf59","resolution":{"observed_at":"2026-08-16T05:39:07.908242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07556","last_updated":"2021-02-19T05:36:54Z","snapshot_observed_at":"2026-08-16T11:56:11.568904Z","submitted_at":"2020-06-13T04:10:34Z","title":"Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels","version":2},"cited_work":{"arxiv_id":"2006.07556","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.07556","snapshot_observed_at":"2026-08-16T05:39:07.605785Z","title":"Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels","venue":"cs.LG","work_id":"57c551dc-e4dd-4c66-bb70-4239f1df5d28","year":2020},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.405187Z"},"links":{"cited_paper":"/paper/2006.07556","citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:19553facec18f6c94b6f38854d66be05aeb2fdbfd8f5219ecefef4a395c3fe6e","observation_id":"5ecab5ff-9d01-4dee-9a8d-3669926e74a2","resolution":{"observed_at":"2026-08-16T05:39:07.612432Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.894088Z","title":"IEEE Transactions on Pattern Analysis and Machine Intelligence 44(9), 5503–5515 (2021)","venue":null,"work_id":"8a1a17bd-2042-4401-b5d4-b25b08bb11b6","year":2021},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.409900Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:c9624e76371aa241e65cd3e791fa7d51c39724cacbea3535390cae53b2f5f996","observation_id":"fc2c9511-c128-47b8-bec1-3d0235370ca7","resolution":{"observed_at":"2026-08-16T05:39:07.897953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.04450","last_updated":"2020-04-07T15:07:12Z","snapshot_observed_at":"2026-08-16T11:54:36.460710Z","submitted_at":"2016-02-14T13:30:43Z","title":"Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.04450","snapshot_observed_at":"2026-08-16T05:39:07.413679Z","title":"arXiv preprint arXiv:1602.04450 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.413679Z"},"links":{"cited_paper":"/paper/1602.04450","citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:6683c68f0f6b7a7991c1d180a1959023729b26d7cb12a0100de09aec9c2f6d8a","observation_id":"922fb448-109d-4a77-9040-fd2e28f022ac","resolution":{"observed_at":"2026-08-16T05:39:07.413679Z","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":"2026-08-16T05:39:07.881969Z","title":"In: Learning and Intelligent Optimiza- tion: 8th International Conference, Lion 8, Gainesville, FL, USA, February 16-21,","venue":null,"work_id":"def4aa39-a811-41b9-a5c9-ae0eeabfe3fa","year":null},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.417849Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:a6dda0bc7db701a6758d15abf91cebc3f4c905d1b0105d0e67c0af5608ca8a8f","observation_id":"6b6a1c1d-ae64-46fc-9207-c951c07253d3","resolution":{"observed_at":"2026-08-16T05:39:07.885923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.860683Z","title":"43347–43368 (2023)","venue":null,"work_id":"e1fa18ec-9992-4358-afea-17764ec0b782","year":2023},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.425962Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:ff28b3500ce35602dcd6b36329aea50587d27f4dd0d1b802375f24cde7bf6326","observation_id":"116a20bf-d528-481a-bc62-fda71e62cf3d","resolution":{"observed_at":"2026-08-16T05:39:07.864761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.848543Z","title":"In: Uncertainty in Artificial Intelligence, pp","venue":null,"work_id":"e18b74e4-6cf3-4555-84e1-4f9c744a47c9","year":2021},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.429804Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:b6026a19ea412f0a84e7198034393a405147202d5146ad75a5069df38784348d","observation_id":"47656ab3-c7b6-4b68-b2f0-54369ff012cd","resolution":{"observed_at":"2026-08-16T05:39:07.853223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.837352Z","title":"Advances in Neural Information Processing Systems 36, 20577–20612 (2023)","venue":null,"work_id":"143e396f-0bdd-4779-a861-56502f853b43","year":2023},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.433405Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:a02087f5fb114fdaea5b6b2aeeb97ab2ab0988191c7e5bcf98dbc0147269a8e4","observation_id":"2eb0d288-a898-4efe-9e42-3980b2cda27f","resolution":{"observed_at":"2026-08-16T05:39:07.841651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.825506Z","title":"Journal of Global Optimization 13, 455–492 (1998) 18","venue":null,"work_id":"c260d2d4-83c3-48ea-b0e9-09e3610fd5c7","year":1998},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.436814Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:35da073d5ca6435c2212427389d921958d8438e23efb2f1174c97e87173dad4d","observation_id":"c1503521-09c4-4018-b28e-f7c41724817d","resolution":{"observed_at":"2026-08-16T05:39:07.829175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.813424Z","title":"IEEE Transactions on Information Theory 58(5), 3250–3265 (2012)","venue":null,"work_id":"4b71cd78-7810-4d13-8421-d49aef73b0a2","year":2012},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.440344Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:80f5812ddebdb1a43b7870e84ab7ca89e4553a243c01fa00369312836af4725d","observation_id":"5d0abb2c-1320-4ce5-a651-e6c3a3dfdf1b","resolution":{"observed_at":"2026-08-16T05:39:07.817373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.801446Z","title":"Biometrika 25(3-4), 285–294 (1933)","venue":null,"work_id":"2c9721ae-8ed0-49c3-91e0-130fe419b424","year":1933},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.444060Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:4dd626e3bc311b99c0a1fd4720dcac62266b1039d44cdf735a747c2b8e0e8025","observation_id":"534e1564-4545-462c-9646-f77e5ea05f7c","resolution":{"observed_at":"2026-08-16T05:39:07.806046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.789697Z","title":"Journal of Machine Learning Research 13(6) (2012)","venue":null,"work_id":"04068bde-d1a0-4d7d-b38f-47353be91ae1","year":2012},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.447912Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:5fd5c3185a7792b713af65e8a96158c350b5291e80543737a88aa3735f6c3e5f","observation_id":"cc69e86d-882f-490e-9d05-b31e67cd283e","resolution":{"observed_at":"2026-08-16T05:39:07.793225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.778696Z","title":"Advances in Neural Information Processing Systems 35, 11494–11506 (2022)","venue":null,"work_id":"068d1b0a-ed66-40e1-86e2-7bbea5e028b3","year":2022},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.452268Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:65e2e57218d945184a0e4a45ab21e94ebf1e8f0d3265b368b2f0962bd5a21814","observation_id":"1f717cd1-2aa4-4026-9f69-cc60a0c087d9","resolution":{"observed_at":"2026-08-16T05:39:07.782577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.766775Z","title":"Journal of Machine Learning Research 12(10) (2011)","venue":null,"work_id":"1e745d5f-7b95-474a-a350-c0090e8d958c","year":2011},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.455780Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:b991607ccdca2fa43c2191a64ce43f2dbaea6e382e1d1e39184201978bb4feab","observation_id":"a695134e-bd23-4f25-98c1-21760b10ed76","resolution":{"observed_at":"2026-08-16T05:39:07.771384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1012.2599","last_updated":"2010-12-12T22:53:04Z","snapshot_observed_at":"2026-08-15T05:00:14.232397Z","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":"2026-08-16T05:39:07.459424Z","title":"arXiv preprint arXiv:1012.2599 (2010)","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.459424Z"},"links":{"cited_paper":"/paper/1012.2599","citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:0ffe4883eef9ee94f5491a70dadfe470e7fcfe7422729909d4d3df60c16fff7f","observation_id":"317ebb97-19b5-4367-9e0b-025039447cdb","resolution":{"observed_at":"2026-08-16T05:39:07.459424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.14645","last_updated":"2024-02-17T19:06:40Z","snapshot_observed_at":"2026-08-16T14:40:35.044471Z","submitted_at":"2023-11-24T18:27:26Z","title":"A General Framework for User-Guided Bayesian Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.14645","snapshot_observed_at":"2026-08-16T05:39:07.464979Z","title":"arXiv preprint arXiv:2311.14645 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.464979Z"},"links":{"cited_paper":"/paper/2311.14645","citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:d7e0225a678dec0a503371ad0996f5ac51c5f58967844b485d6a92e0cdc17bec","observation_id":"f2265d17-76ad-41b6-9d99-41f245892f0e","resolution":{"observed_at":"2026-08-16T05:39:07.464979Z","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":"2026-08-16T05:39:07.753926Z","title":"Advances in Neural Information Processing Systems 25 (2012)","venue":null,"work_id":"7ebf5086-929c-48eb-b9a3-17c20170dd6f","year":2012},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.468719Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:d8dae19abf15f4fd55bde14d3b6587f415d52cecb293905a9c15c4f25268a7df","observation_id":"5e785c53-bff3-4270-acb4-56edbdaed837","resolution":{"observed_at":"2026-08-16T05:39:07.758723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.741328Z","title":"In: Learning and Intelligent Optimization: 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011","venue":null,"work_id":"0d42e61a-f83e-4069-990d-bc043ac015cb","year":2011},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.472135Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:8729fdb5cabe56c1fe140cb42e5987cdb604b424f2dd3c96aa11845c71bfd45c","observation_id":"625bc3d8-4fed-435a-a7c2-163e6df35a48","resolution":{"observed_at":"2026-08-16T05:39:07.745869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T05:39:07.475560Z","title":"MIT Press, Cambridge, MA (2006)","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.475560Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:f0b9c5462994354dc45a1ec4cc29dd543f95d44c59a41ddd556a3ea207ec6b31","observation_id":"512c2c49-a008-4e2a-a6fe-2f646c005798","resolution":{"observed_at":"2026-08-16T05:39:07.475560Z","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":"2026-08-16T05:39:07.479595Z","title":"Machine Learning 45, 5–32 (2001)","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.479595Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:2ce87033c64b1ed2f966081dd8ca2adaae5193736c359834814687bf2cbf6779","observation_id":"6d4232b7-21fa-41fd-a699-e27098a25e85","resolution":{"observed_at":"2026-08-16T05:39:07.479595Z","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":"2026-08-16T05:39:07.483068Z","title":"In: International Conference on Machine Learning, pp","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.483068Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:36c9785f40b7940f6c689a408e47c86514b8a54478fc83e184d7be6ce44f1cf6","observation_id":"f9abcfbd-c5c2-44ad-a744-a8d6289d45c6","resolution":{"observed_at":"2026-08-16T05:39:07.483068Z","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":"2026-08-16T05:39:07.706297Z","title":"Journal of Global Optimization 21, 345–383 (2001)","venue":null,"work_id":"b141c708-d6c7-42db-a461-c8c08cff0248","year":2001},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.487328Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:2306b5322300b14efb3ba0af5d845d1822df044decb66bf358fa8908841423a4","observation_id":"303a65a3-8154-4998-8703-5606f6ce3b02","resolution":{"observed_at":"2026-08-16T05:39:07.711559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.693507Z","title":"Advances in Neural 19 Information Processing Systems 27 (2014)","venue":null,"work_id":"d2f14e0d-f1d6-4883-bd3d-ff630856bbe2","year":2014},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.490864Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:e4af82849e3ecd918022fc20ac9d1b4c72c24513510cd993c2d7a891c6a7f17a","observation_id":"2c9a075b-1520-4ed2-9646-612584081f5f","resolution":{"observed_at":"2026-08-16T05:39:07.698204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.678895Z","title":"In: International Conference on Machine Learning, pp","venue":null,"work_id":"3adc1b4d-49a2-4aa0-b0b5-8904ad0eb07f","year":2017},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.495216Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:ee973a693c8b34422ae1d4de28ac63cf01d57e8685e20c3ddd4beb42e4bd1bd2","observation_id":"7f3be252-bb39-41c5-899a-ec0b70514558","resolution":{"observed_at":"2026-08-16T05:39:07.683019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.667309Z","title":"SIAM Journal on Control and Optimization 47(5), 2410–2439 (2008)","venue":null,"work_id":"61b1bbc9-56ce-4804-aafa-33b4f0baea18","year":2008},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.499202Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:dd3da0618804df953813892a3222f81d0b96a5b3cf241865035db968c82b5c9c","observation_id":"4f1ab10e-5725-48fd-81b8-8280f26b586a","resolution":{"observed_at":"2026-08-16T05:39:07.671307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02229","last_updated":"2024-12-12T09:53:38Z","snapshot_observed_at":"2026-08-16T14:21:50.435447Z","submitted_at":"2024-02-03T18:19:46Z","title":"Vanilla Bayesian Optimization Performs Great in High Dimensions","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02229","snapshot_observed_at":"2026-08-16T05:39:07.503004Z","title":"arXiv preprint arXiv:2402.02229 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.503004Z"},"links":{"cited_paper":"/paper/2402.02229","citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:8030209990e796e145e291a59ea05e1c570e9f789d5b57d824098907ba9a224c","observation_id":"89591501-6226-4cfd-a1c6-5278bdce62fe","resolution":{"observed_at":"2026-08-16T05:39:07.503004Z","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":"2026-08-16T05:39:07.656073Z","title":"Operations Research 43(4), 684–691 (1995)","venue":null,"work_id":"4f134244-577e-437c-a00c-ecb3b786f417","year":1995},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.506666Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:e1df27432dad1a9581d66e94e9e4970b109e9d1090cf5806371aec1943e24f52","observation_id":"9da69a02-8979-4dd7-82d0-c3d8b8d4537a","resolution":{"observed_at":"2026-08-16T05:39:07.660240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.644494Z","title":"The Annals of Mathematical Statistics 21(1), 124–127 (1950)","venue":null,"work_id":"8c7dbe9d-04e9-41c0-9fd6-6a634ec0960c","year":1950},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.510173Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:b49f34175d6a7b522e5c91242d8163043a9844cba18ae5f8ccdabe721ba8ae58","observation_id":"3a98b31c-5c41-48a0-9537-79789cd9d897","resolution":{"observed_at":"2026-08-16T05:39:07.648734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.06716","last_updated":"2022-10-06T15:12:56Z","snapshot_observed_at":"2026-08-16T18:20:11.031624Z","submitted_at":"2021-09-14T14:28:51Z","title":"HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.06716","snapshot_observed_at":"2026-08-16T05:39:07.513721Z","title":"arXiv preprint arXiv:2109.06716 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.513721Z"},"links":{"cited_paper":"/paper/2109.06716","citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:b88d621b66ad78af3418948d3dbd81fcaea23db6b717310f7502478d45798cf3","observation_id":"4acb9f4f-ed00-4796-9ece-8e833c3ccb7c","resolution":{"observed_at":"2026-08-16T05:39:07.513721Z","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":"2026-08-16T05:39:07.631630Z","title":"Advances in Neural Information Processing systems 20 (2007) 20","venue":null,"work_id":"3cece27f-a1b8-4e46-b545-2c933fced6ae","year":2007},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.517878Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:e2c59255db425aa81b421b27ba1f20c71c4e94fa57f4e0421b18df2c41e096cb","observation_id":"93c31700-75dc-4bb8-8ea1-17d539c99a32","resolution":{"observed_at":"2026-08-16T05:39:07.636635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-16T05:39:07.871731Z","title":"274–290 (2014)","venue":null,"work_id":"be9de34f-2159-4309-afb8-78cce53c1dac","year":2014},"citing_paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-16T05:39:07.421579Z"},"links":{"citing_paper":"/paper/2504.20307"},"observation_digest":"sha256:d8d4f2f92a5e6e2794b595ad0812710c509d7b098effdb2f8bf7ff3825fdeaa5","observation_id":"7c238468-34d9-4053-af61-9d4a191aac5a","resolution":{"observed_at":"2026-08-16T05:39:07.875213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.20307","last_updated":"2025-04-28T23:35:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T11:55:41.633892Z","submitted_at":"2025-04-28T23:35:17Z","title":"FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":36},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2504.20307."}