{"as_of":"2026-08-18T20:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:98eb32bc06e13e8c563b80ef48ece8c59cce82dc826a3148a9afeaea56a52a45","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:59:07.496877Z","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":"2026-08-15T20:59:07.607372Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.04860","last_updated":"2024-08-09T04:47:38Z","snapshot_observed_at":"2026-08-16T13:27:32.681151Z","submitted_at":"2024-08-09T04:47:38Z","title":"High dimensional Bayesian Optimization via Condensing-Expansion Projection","version":1},"cited_work":{"arxiv_id":"2408.04860","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.04860","snapshot_observed_at":"2026-08-15T20:59:07.607372Z","title":"High dimensional Bayesian Optimization via Condensing-Expansion Projection","venue":"cs.LG","work_id":"13ee9905-8b90-4f2a-b6dd-8d4de61542da","year":2024},"citing_paper":{"arxiv_id":"2505.11281","last_updated":"2025-05-16T14:18:19Z","snapshot_observed_at":"2026-08-16T23:12:30.492740Z","submitted_at":"2025-05-16T14:18:19Z","title":"Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:59:07.496877Z"},"links":{"cited_paper":"/paper/2408.04860","citing_paper":"/paper/2505.11281"},"observation_digest":"sha256:7cbba9b6d2da3923c8e6b7e2445b41c6a2092667f229ff3d6943920e1526d608","observation_id":"3796d6cb-fbb1-477e-b138-d2412fd92cae","resolution":{"observed_at":"2026-08-15T20:59:07.615447Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.04860/citation-record","integrity":"/paper/2408.04860/integrity","json":"/paper/2408.04860/citation-record.json","paper":"/paper/2408.04860"},"outbound":[],"paper":{"arxiv_id":"2408.04860","last_updated":"2024-08-09T04:47:38Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:27:32.681151Z","submitted_at":"2024-08-09T04:47:38Z","title":"High dimensional Bayesian Optimization via Condensing-Expansion Projection"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2408.04860."}