{"as_of":"2026-08-23T11:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a8bdca53052f799960f2e5e7f3f553bbcba4aaa156a95851e2f222f2983a61f2","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:21:06.420286Z","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":"2026-07-14T10:50:24.225657Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1810.03787","last_updated":"2019-05-02T18:30:03Z","snapshot_observed_at":"2026-08-22T07:12:40.835655Z","submitted_at":"2018-10-09T03:10:08Z","title":"Quantum Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03787","snapshot_observed_at":"2026-08-14T15:21:06.420286Z","title":null,"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":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:06.420286Z"},"links":{"cited_paper":"/paper/1810.03787","citing_paper":"/paper/1908.01364"},"observation_digest":"sha256:9a4578b5c2753453000a35c147662577f29ed1b291e050b055151aa911289479","observation_id":"49d5bc42-878f-4711-8bbb-f33350071e4a","resolution":{"observed_at":"2026-08-14T15:21:06.420286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03787","last_updated":"2019-05-02T18:30:03Z","snapshot_observed_at":"2026-08-22T07:12:40.835655Z","submitted_at":"2018-10-09T03:10:08Z","title":"Quantum Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03787","snapshot_observed_at":"2026-08-14T11:40:24.712705Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.08577","last_updated":"2019-12-27T06:20:26Z","snapshot_observed_at":"2026-08-17T01:19:59.173086Z","submitted_at":"2019-08-22T19:55:36Z","title":"Rapid classification of quantum sources enabled by machine learning","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T11:40:24.712705Z"},"links":{"cited_paper":"/paper/1810.03787","citing_paper":"/paper/1908.08577"},"observation_digest":"sha256:2d7f005e24b844436c1df8eaa3f0e6ddf4f2fa058ecdc09e0e24aeabbc29ba34","observation_id":"476692be-d6b8-486d-a0fc-083c50480f58","resolution":{"observed_at":"2026-08-14T11:40:24.712705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03787","last_updated":"2019-05-02T18:30:03Z","snapshot_observed_at":"2026-08-22T07:12:40.835655Z","submitted_at":"2018-10-09T03:10:08Z","title":"Quantum Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":"1810.03787","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.03787","snapshot_observed_at":"2026-07-14T10:50:24.225657Z","title":"Quantum Convolutional Neural Networks","venue":"quant-ph","work_id":"2450ce7e-e432-4160-9719-0854bfbcd5bf","year":2018},"citing_paper":{"arxiv_id":"2607.10563","last_updated":"2026-07-12T04:41:10Z","snapshot_observed_at":"2026-08-16T01:41:33.634400Z","submitted_at":"2026-07-12T04:41:10Z","title":"The Virtuous Cycle of Quantum-Classical Machine Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T10:48:19.458349Z"},"links":{"cited_paper":"/paper/1810.03787","citing_paper":"/paper/2607.10563"},"observation_digest":"sha256:9ad1c0120b1608dbf5bb8348d352f17094c737f0c595d36d138830f3bfe46024","observation_id":"be9b0b34-71c5-45bc-b298-16fe4b26b503","resolution":{"observed_at":"2026-07-14T10:50:24.230512Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03787","last_updated":"2019-05-02T18:30:03Z","snapshot_observed_at":"2026-08-22T07:12:40.835655Z","submitted_at":"2018-10-09T03:10:08Z","title":"Quantum Convolutional Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03787","snapshot_observed_at":"2026-08-01T13:33:12.056532Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.19086","last_updated":"2026-07-21T13:23:42Z","snapshot_observed_at":"2026-08-20T16:03:33.905122Z","submitted_at":"2026-07-21T13:23:42Z","title":"Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T13:33:12.056532Z"},"links":{"cited_paper":"/paper/1810.03787","citing_paper":"/paper/2607.19086"},"observation_digest":"sha256:5280bf62e5c68adcc38b661bca7db8af040d034f411d13b3ee423d7feac3f791","observation_id":"b084c5dc-76f8-4712-8acd-a2ed772b15ea","resolution":{"observed_at":"2026-08-01T13:33:12.056532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1810.03787/citation-record","integrity":"/paper/1810.03787/integrity","json":"/paper/1810.03787/citation-record.json","paper":"/paper/1810.03787"},"outbound":[],"paper":{"arxiv_id":"1810.03787","last_updated":"2019-05-02T18:30:03Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-22T07:12:40.835655Z","submitted_at":"2018-10-09T03:10:08Z","title":"Quantum Convolutional Neural Networks"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1810.03787."}