{"as_of":"2026-08-13T19:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ecd4292b891ae296b5e1ce7176541f7f5f9dead6a4e52b1c953198a6dea91209","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":"2026-08-13T06:32:02.005865+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":"2026-08-12T11:51:47.006945Z","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":"2026-08-12T11:51:47.070555Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1512.07328","last_updated":"2016-08-08T23:13:41Z","snapshot_observed_at":"2026-08-01T19:19:03.541255Z","submitted_at":"2015-12-23T01:50:08Z","title":"Monte Carlo based Designs for Constrained Domains","version":2},"cited_work":{"arxiv_id":"1512.07328","doi":null,"metadata_source":"pith","pith_arxiv_id":"1512.07328","snapshot_observed_at":"2026-08-12T11:51:47.070555Z","title":"Monte Carlo based Designs for Constrained Domains","venue":"stat.ME","work_id":"afdb0e2b-ac6c-4b7e-92c0-b32d83a73880","year":2015},"citing_paper":{"arxiv_id":"2411.17824","last_updated":"2024-11-28T17:23:05Z","snapshot_observed_at":"2026-08-12T11:46:04.619843Z","submitted_at":"2024-11-26T19:03:55Z","title":"A Cloud-based Real-time Probabilistic Remaining Useful Life (RUL) Estimation using the Sequential Monte Carlo (SMC) Method","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T11:51:47.006945Z"},"links":{"cited_paper":"/paper/1512.07328","citing_paper":"/paper/2411.17824"},"observation_digest":"sha256:d4331fabf9d4075d3fe720843db98fee6b80c9fb3ab0727370abb30b18434b1b","observation_id":"05525e6f-aef1-4a3b-bdfa-39dafada79b9","resolution":{"observed_at":"2026-08-12T11:51:47.077463Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1512.07328/citation-record","integrity":"/paper/1512.07328/integrity","json":"/paper/1512.07328/citation-record.json","paper":"/paper/1512.07328"},"outbound":[],"paper":{"arxiv_id":"1512.07328","last_updated":"2016-08-08T23:13:41Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-01T19:19:03.541255Z","submitted_at":"2015-12-23T01:50:08Z","title":"Monte Carlo based Designs for Constrained Domains"},"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 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1512.07328."}