{"as_of":"2026-08-07T19:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:46c30112b8cc60f0705bfc0975153c68c2499e36eb189b37fc4a25c83ed07682","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":"2026-08-07T06:34:17.273281+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":"2026-08-05T16:38:27.445936Z","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":"2026-08-05T16:38:31.169900Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1804.00281","last_updated":"2019-08-02T20:15:48Z","snapshot_observed_at":"2026-08-06T03:02:15.335916Z","submitted_at":"2018-04-01T11:10:00Z","title":"Smooth input preparation for quantum and quantum-inspired machine learning","version":2},"cited_work":{"arxiv_id":"1804.00281","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.00281","snapshot_observed_at":"2026-08-05T16:38:31.169900Z","title":"Smooth input preparation for quantum and quantum-inspired machine learning","venue":"quant-ph","work_id":"aff46afb-1af8-4c3a-aca0-f8a1eb221e34","year":2018},"citing_paper":{"arxiv_id":"2508.18161","last_updated":"2025-08-25T16:12:18Z","snapshot_observed_at":"2026-08-06T18:17:08.535217Z","submitted_at":"2025-08-25T16:12:18Z","title":"Hybrid Quantum-Classical Learning for Multiclass Image Classification","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T16:38:27.445936Z"},"links":{"cited_paper":"/paper/1804.00281","citing_paper":"/paper/2508.18161"},"observation_digest":"sha256:8163c730147bd9609ba8f2cd9b8e0c147cc35a9d0f6c6fd7dc7b338ea0af85c1","observation_id":"e0c1fdf7-35eb-4dc3-a74b-7faa0a10d09f","resolution":{"observed_at":"2026-08-05T16:38:31.264152Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1804.00281/citation-record","integrity":"/paper/1804.00281/integrity","json":"/paper/1804.00281/citation-record.json","paper":"/paper/1804.00281"},"outbound":[],"paper":{"arxiv_id":"1804.00281","last_updated":"2019-08-02T20:15:48Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-06T03:02:15.335916Z","submitted_at":"2018-04-01T11:10:00Z","title":"Smooth input preparation for quantum and quantum-inspired 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1804.00281."}