{"as_of":"2026-08-15T22:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:73254dabb3b53277da3f787d3cd064c336ce39caea67b0425b3f12c38aebaf16","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":"2026-08-15T06:32:42.880941+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":"2026-08-14T13:48:51.789783Z","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":"2026-08-14T13:48:52.032997Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.02119","last_updated":"2019-12-04T17:03:34Z","snapshot_observed_at":"2026-08-15T20:11:28.341682Z","submitted_at":"2019-12-04T17:03:34Z","title":"A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers","version":1},"cited_work":{"arxiv_id":"1912.02119","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.02119","snapshot_observed_at":"2026-08-14T13:48:52.032997Z","title":"A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers","venue":"quant-ph","work_id":"13b369e9-bbc0-4069-9156-15beb1953277","year":2019},"citing_paper":{"arxiv_id":"1908.04480","last_updated":"2020-10-23T12:30:44Z","snapshot_observed_at":"2026-08-15T18:09:17.401737Z","submitted_at":"2019-08-13T04:11:51Z","title":"Quantum adiabatic machine learning with zooming","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:48:51.789783Z"},"links":{"cited_paper":"/paper/1912.02119","citing_paper":"/paper/1908.04480"},"observation_digest":"sha256:ef09cd5bf8e8d354baf606f12153310735987d9d26aecd777b7979f2ae933464","observation_id":"db2767f6-ed21-452e-a66e-b4f6c2ddcf58","resolution":{"observed_at":"2026-08-14T13:48:52.037206Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1912.02119/citation-record","integrity":"/paper/1912.02119/integrity","json":"/paper/1912.02119/citation-record.json","paper":"/paper/1912.02119"},"outbound":[],"paper":{"arxiv_id":"1912.02119","last_updated":"2019-12-04T17:03:34Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-15T20:11:28.341682Z","submitted_at":"2019-12-04T17:03:34Z","title":"A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1912.02119."}