{"as_of":"2026-08-14T02:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aa24261b81c8403076d84fdf7ead91302da6294c21a39887826215e2ae1d7b56","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:32:15.492122Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T21:44:09.480971Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1505.01627","last_updated":"2015-05-07T08:50:18Z","snapshot_observed_at":"2026-08-04T10:03:27.461485Z","submitted_at":"2015-05-07T08:50:18Z","title":"Bayesian Optimization for Synthetic Gene Design","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1505.01627","snapshot_observed_at":"2026-08-11T19:32:15.492122Z","title":"Bayesian optimization for synthetic gene design","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.06604","last_updated":"2024-12-09T15:53:02Z","snapshot_observed_at":"2026-08-11T19:26:52.030029Z","submitted_at":"2024-12-09T15:53:02Z","title":"VOPy: A Framework for Black-box Vector Optimization","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T19:32:15.492122Z"},"links":{"cited_paper":"/paper/1505.01627","citing_paper":"/paper/2412.06604"},"observation_digest":"sha256:24e736e3cd1ed935ba0e60cff54647afe78efff02183d3ba9359259663389634","observation_id":"5b146fdb-f0e2-4c04-9862-fbb2a860f9a5","resolution":{"observed_at":"2026-08-11T19:32:15.492122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1505.01627","last_updated":"2015-05-07T08:50:18Z","snapshot_observed_at":"2026-08-04T10:03:27.461485Z","submitted_at":"2015-05-07T08:50:18Z","title":"Bayesian Optimization for Synthetic Gene Design","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1505.01627","snapshot_observed_at":"2026-08-11T12:41:09.699711Z","title":"Bayesian Optimization for Synthetic Gene Design","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.13948","last_updated":"2024-12-18T15:29:05Z","snapshot_observed_at":"2026-08-13T21:23:59.156053Z","submitted_at":"2024-12-18T15:29:05Z","title":"Surrogate-Based Optimization Techniques for Process Systems Engineering","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-11T12:41:09.699711Z"},"links":{"cited_paper":"/paper/1505.01627","citing_paper":"/paper/2412.13948"},"observation_digest":"sha256:fc7e15d25a0044caa074b36d1b274d92cd5fdf216660f8c41e5f15e2883c215f","observation_id":"de754598-53c2-4aa9-8485-4cc6c6ee0af2","resolution":{"observed_at":"2026-08-11T12:41:09.699711Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1505.01627","last_updated":"2015-05-07T08:50:18Z","snapshot_observed_at":"2026-08-04T10:03:27.461485Z","submitted_at":"2015-05-07T08:50:18Z","title":"Bayesian Optimization for Synthetic Gene Design","version":1},"cited_work":{"arxiv_id":"1505.01627","doi":null,"metadata_source":"pith","pith_arxiv_id":"1505.01627","snapshot_observed_at":"2026-08-10T21:44:09.480971Z","title":"Bayesian Optimization for Synthetic Gene Design","venue":"stat.ML","work_id":"1d1ea4d2-8b09-4ca9-a06a-f20a732f366d","year":2015},"citing_paper":{"arxiv_id":"2501.04260","last_updated":"2025-01-26T10:26:44Z","snapshot_observed_at":"2026-08-10T21:35:15.472125Z","submitted_at":"2025-01-08T03:56:06Z","title":"Modeling All Response Surfaces in One for Conditional Search Spaces","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-10T21:44:09.220790Z"},"links":{"cited_paper":"/paper/1505.01627","citing_paper":"/paper/2501.04260"},"observation_digest":"sha256:8e85c1ddec437d149f372de6b323d9976b11f86b4f818e9a930de0412b7b06b3","observation_id":"32da103a-c215-41d8-9aa5-5d7ce2f9c2ec","resolution":{"observed_at":"2026-08-10T21:44:09.491952Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1505.01627/citation-record","integrity":"/paper/1505.01627/integrity","json":"/paper/1505.01627/citation-record.json","paper":"/paper/1505.01627"},"outbound":[],"paper":{"arxiv_id":"1505.01627","last_updated":"2015-05-07T08:50:18Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-04T10:03:27.461485Z","submitted_at":"2015-05-07T08:50:18Z","title":"Bayesian Optimization for Synthetic Gene Design"},"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":"2026-08-13T06:32:02.005865+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 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1505.01627."}