{"as_of":"2026-08-19T14:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e4202e05f1e8c5352e648bfbd8b99fe8b9353ea759275492556ce382bc579d9","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:23:14.573977Z","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":"2026-05-24T23:00:03.254460Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.09729","last_updated":"2018-06-25T23:55:24Z","snapshot_observed_at":"2026-08-15T11:43:30.373207Z","submitted_at":"2018-06-25T23:55:24Z","title":"A Universal Training Algorithm for Quantum Deep Learning","version":1},"cited_work":{"arxiv_id":"1806.09729","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.09729","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Universal Training Algorithm for Quantum Deep Learning","venue":"quant-ph","work_id":"758a0bf0-a71b-47f9-b9f4-894beb8f98ff","year":2018},"citing_paper":{"arxiv_id":"1907.05415","last_updated":"2019-07-11T17:57:56Z","snapshot_observed_at":"2026-08-15T11:05:03.307005Z","submitted_at":"2019-07-11T17:57:56Z","title":"Learning to learn with quantum neural networks via classical neural networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-24T22:59:51.101448Z"},"links":{"cited_paper":"/paper/1806.09729","citing_paper":"/paper/1907.05415"},"observation_digest":"sha256:f9787002886a0d81cd648d0e01852993bbec5633b642005e429630c956cdb1df","observation_id":"3d46cebe-e169-4228-b35a-10041d001125","resolution":{"observed_at":"2026-05-24T23:00:03.257220Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.09729","last_updated":"2018-06-25T23:55:24Z","snapshot_observed_at":"2026-08-15T11:43:30.373207Z","submitted_at":"2018-06-25T23:55:24Z","title":"A Universal Training Algorithm for Quantum Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.09729","snapshot_observed_at":"2026-08-14T15:21:06.478384Z","title":"Verdon, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.01364","last_updated":"2019-08-04T15:46:48Z","snapshot_observed_at":"2026-08-16T12:19:43.164377Z","submitted_at":"2019-08-04T15:46:48Z","title":"The Capacity of Quantum Neural Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:06.478384Z"},"links":{"cited_paper":"/paper/1806.09729","citing_paper":"/paper/1908.01364"},"observation_digest":"sha256:46fa7f5bd947eda9d8d41d7d092bd009c6632230286dc01de0f52bf7d269d1a0","observation_id":"4eedd608-6a54-4d83-9ae8-48997ffb5520","resolution":{"observed_at":"2026-08-14T15:21:06.478384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.09729","last_updated":"2018-06-25T23:55:24Z","snapshot_observed_at":"2026-08-15T11:43:30.373207Z","submitted_at":"2018-06-25T23:55:24Z","title":"A Universal Training Algorithm for Quantum Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.09729","snapshot_observed_at":"2026-08-16T12:23:14.573977Z","title":"A universal training algorithm for quantum deep learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.13232","last_updated":"2025-05-08T11:00:16Z","snapshot_observed_at":"2026-08-18T20:40:25.989680Z","submitted_at":"2025-04-17T14:51:21Z","title":"A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T12:23:14.573977Z"},"links":{"cited_paper":"/paper/1806.09729","citing_paper":"/paper/2504.13232"},"observation_digest":"sha256:1797f6999dd690509178371b57f1c63ee9314ac8241528565a920910f9faa452","observation_id":"cc133081-cfab-462e-b47b-b429fafa67bd","resolution":{"observed_at":"2026-08-16T12:23:14.573977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1806.09729/citation-record","integrity":"/paper/1806.09729/integrity","json":"/paper/1806.09729/citation-record.json","paper":"/paper/1806.09729"},"outbound":[],"paper":{"arxiv_id":"1806.09729","last_updated":"2018-06-25T23:55:24Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-15T11:43:30.373207Z","submitted_at":"2018-06-25T23:55:24Z","title":"A Universal Training Algorithm for Quantum Deep 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1806.09729."}