{"as_of":"2026-08-09T23:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4dbecdfd820e74eb681a2aa5de8c3def3ed85c08c10ae8f40586b218bc1e9593","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:54:38.658320Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":7,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.09638","last_updated":"2024-02-15T00:52:34Z","snapshot_observed_at":"2026-07-06T17:30:21.100876Z","submitted_at":"2024-02-15T00:52:34Z","title":"Multi-Fidelity Methods for Optimization: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09638","snapshot_observed_at":"2026-08-07T14:54:38.658320Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17279","last_updated":"2025-05-22T20:54:28Z","snapshot_observed_at":"2026-08-08T12:47:21.286439Z","submitted_at":"2025-05-22T20:54:28Z","title":"Bayesian and non-Bayesian multi-fidelity surrogate models for multi-objective aerodynamic optimization under extreme cost imbalance","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:54:38.658320Z"},"links":{"cited_paper":"/paper/2402.09638","citing_paper":"/paper/2505.17279"},"observation_digest":"sha256:508b8671a7e83714162919e699360a3d3641187e36053029789818a371a72b4b","observation_id":"b5016fd0-850a-4054-b3af-e25050df1b43","resolution":{"observed_at":"2026-08-07T14:54:38.658320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09638","last_updated":"2024-02-15T00:52:34Z","snapshot_observed_at":"2026-07-06T17:30:21.100876Z","submitted_at":"2024-02-15T00:52:34Z","title":"Multi-Fidelity Methods for Optimization: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09638","snapshot_observed_at":"2026-08-06T18:44:31.249791Z","title":"and Li, F","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08053","last_updated":"2025-07-15T08:40:16Z","snapshot_observed_at":"2026-08-09T23:29:13.988287Z","submitted_at":"2025-07-10T08:26:49Z","title":"Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T18:44:31.249791Z"},"links":{"cited_paper":"/paper/2402.09638","citing_paper":"/paper/2507.08053"},"observation_digest":"sha256:a017522152c55941e810e7d430130d7b72efbb47a6a4dad1916020f5733e39d4","observation_id":"8c129dd6-f08b-4ce0-acd3-6cf7b99d6085","resolution":{"observed_at":"2026-08-06T18:44:31.249791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09638","last_updated":"2024-02-15T00:52:34Z","snapshot_observed_at":"2026-07-06T17:30:21.100876Z","submitted_at":"2024-02-15T00:52:34Z","title":"Multi-Fidelity Methods for Optimization: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09638","snapshot_observed_at":"2026-07-13T23:23:02.433224Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.17057","last_updated":"2026-07-08T16:25:43Z","snapshot_observed_at":"2026-08-07T07:31:11.416787Z","submitted_at":"2026-03-17T18:43:11Z","title":"Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-13T23:23:02.433224Z"},"links":{"cited_paper":"/paper/2402.09638","citing_paper":"/paper/2603.17057"},"observation_digest":"sha256:47154e63faa846b66abc0ffdd0f77bf2037bd4fc9b29cf74d461e8910e68e93b","observation_id":"7aa8968a-c040-4394-9d4f-cf81baadca63","resolution":{"observed_at":"2026-07-13T23:23:02.433224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09638","last_updated":"2024-02-15T00:52:34Z","snapshot_observed_at":"2026-07-06T17:30:21.100876Z","submitted_at":"2024-02-15T00:52:34Z","title":"Multi-Fidelity Methods for Optimization: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09638","snapshot_observed_at":"2026-07-13T20:27:45.196743Z","title":"Li and F","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.22050","last_updated":"2026-06-24T13:15:28Z","snapshot_observed_at":"2026-08-08T12:54:20.093424Z","submitted_at":"2026-03-23T14:49:38Z","title":"Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-13T20:27:45.196743Z"},"links":{"cited_paper":"/paper/2402.09638","citing_paper":"/paper/2603.22050"},"observation_digest":"sha256:2026349deeda5556324410f6e3a6cb5686d1d62d6b728cafd335175bc779df8a","observation_id":"95c67239-739b-465b-990d-10e53cb7c889","resolution":{"observed_at":"2026-07-13T20:27:45.196743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09638","last_updated":"2024-02-15T00:52:34Z","snapshot_observed_at":"2026-07-06T17:30:21.100876Z","submitted_at":"2024-02-15T00:52:34Z","title":"Multi-Fidelity Methods for Optimization: A Survey","version":1},"cited_work":{"arxiv_id":"2402.09638","doi":"10.48550/arxiv.2402.09638","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.09638","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"953e82e5-f21d-4cfa-b3f4-7dd45f333882","year":2024},"citing_paper":{"arxiv_id":"2605.04051","last_updated":"2026-02-28T20:30:41Z","snapshot_observed_at":"2026-08-02T11:58:07.407721Z","submitted_at":"2026-02-28T20:30:41Z","title":"A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T17:54:29.759285Z"},"links":{"cited_paper":"/paper/2402.09638","citing_paper":"/paper/2605.04051"},"observation_digest":"sha256:ebf756381526a35a8d59c5b582327d3a1162d02cc00418ae8890cefac70dde2a","observation_id":"4279fb44-2bd0-4f58-b546-5eebef45ebb6","resolution":{"observed_at":"2026-05-15T17:56:24.762404Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09638","last_updated":"2024-02-15T00:52:34Z","snapshot_observed_at":"2026-07-06T17:30:21.100876Z","submitted_at":"2024-02-15T00:52:34Z","title":"Multi-Fidelity Methods for Optimization: A Survey","version":1},"cited_work":{"arxiv_id":"2402.09638","doi":"10.48550/arxiv.2402.09638","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.09638","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"953e82e5-f21d-4cfa-b3f4-7dd45f333882","year":2024},"citing_paper":{"arxiv_id":"2607.00865","last_updated":"2026-07-01T12:31:15Z","snapshot_observed_at":"2026-08-05T08:39:01.099859Z","submitted_at":"2026-07-01T12:31:15Z","title":"Constrained Bayesian Optimisation with Multiple Information Sources","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-07-02T15:52:24.436940Z"},"links":{"cited_paper":"/paper/2402.09638","citing_paper":"/paper/2607.00865"},"observation_digest":"sha256:7b8164ddc63363bddeb2ed303e48b33af0ab2ba4245a22b74bef9621afc0660f","observation_id":"bcbb3577-0310-4ce2-9934-8774492bc23c","resolution":{"observed_at":"2026-07-02T15:57:06.296450Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.09638/citation-record","integrity":"/paper/2402.09638/integrity","json":"/paper/2402.09638/citation-record.json","paper":"/paper/2402.09638"},"outbound":[],"paper":{"arxiv_id":"2402.09638","last_updated":"2024-02-15T00:52:34Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:30:21.100876Z","submitted_at":"2024-02-15T00:52:34Z","title":"Multi-Fidelity Methods for Optimization: A Survey"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.09638."}