{"as_of":"2026-08-13T11:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5a939af2286c22f74cb53b5f2484dcb1f5a284e670b4b8a8ec0fd5522a55c6f","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":"2026-08-12T05:23:41.267426Z","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":"2026-08-12T06:16:15.957210Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.08990","last_updated":"2024-04-19T09:21:46Z","snapshot_observed_at":"2026-08-13T05:24:46.668037Z","submitted_at":"2023-11-15T14:22:53Z","title":"sQUlearn -- A Python Library for Quantum Machine Learning","version":2},"cited_work":{"arxiv_id":"2311.08990","doi":"10.48550/arxiv.2311.08990","metadata_source":"pith","pith_arxiv_id":"2311.08990","snapshot_observed_at":"2026-08-12T06:16:15.957210Z","title":"sQUlearn -- A Python Library for Quantum Machine Learning","venue":"quant-ph","work_id":"40ec74a6-de8d-4ae3-a127-49adde1db79a","year":2023},"citing_paper":{"arxiv_id":"2412.00504","last_updated":"2024-11-30T15:03:51Z","snapshot_observed_at":"2026-08-12T05:15:25.906964Z","submitted_at":"2024-11-30T15:03:51Z","title":"Quantum Active Learning for Structural Determination of Doped Nanoparticles -- a Case Study of 4Al@Si$_{11}$","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T05:23:41.267426Z"},"links":{"cited_paper":"/paper/2311.08990","citing_paper":"/paper/2412.00504"},"observation_digest":"sha256:3ce5d4e937c83014b98b769f716d3eb7e69a9e6636a3aa8d176d5bbdb473b8f9","observation_id":"5aa41550-54a1-4ac0-abac-a67f28cdfa2e","resolution":{"observed_at":"2026-08-12T05:23:41.502555Z","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/2311.08990/citation-record","integrity":"/paper/2311.08990/integrity","json":"/paper/2311.08990/citation-record.json","paper":"/paper/2311.08990"},"outbound":[],"paper":{"arxiv_id":"2311.08990","last_updated":"2024-04-19T09:21:46Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-13T05:24:46.668037Z","submitted_at":"2023-11-15T14:22:53Z","title":"sQUlearn -- A Python Library for Quantum Machine Learning"},"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:2311.08990."}