{"as_of":"2026-08-07T11:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e5ee029612545b2690ffba7a826ebbb1a968b163dce8f615c05864ef26a8692","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:54:56.657525Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-16T13:17:55.020030Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.03334","last_updated":"2025-06-26T03:12:31Z","snapshot_observed_at":"2026-07-06T15:51:16.438754Z","submitted_at":"2023-07-07T00:30:16Z","title":"Explainable quantum regression algorithm with encoded data structure","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03334","snapshot_observed_at":"2026-08-06T19:54:56.657525Z","title":"Variational quantum regression algorithm with encoded data structure,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04325","last_updated":"2025-07-06T10:15:41Z","snapshot_observed_at":"2026-08-07T07:49:17.450206Z","submitted_at":"2025-07-06T10:15:41Z","title":"Perspectives on Utilization of Measurements in Quantum Algorithms","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T19:54:56.657525Z"},"links":{"cited_paper":"/paper/2307.03334","citing_paper":"/paper/2507.04325"},"observation_digest":"sha256:0b3967cffaf5a82a740a181b321b27ffd111522b11d722e644e538ee9b1a176f","observation_id":"6abbacd1-6113-47cc-808d-283510448b7b","resolution":{"observed_at":"2026-08-06T19:54:56.657525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03334","last_updated":"2025-06-26T03:12:31Z","snapshot_observed_at":"2026-07-06T15:51:16.438754Z","submitted_at":"2023-07-07T00:30:16Z","title":"Explainable quantum regression algorithm with encoded data structure","version":5},"cited_work":{"arxiv_id":"2307.03334","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.03334","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Variational quantum regression algorithm with encoded data structure.arXiv preprint arXiv:2307.03334","venue":null,"work_id":"132d1763-2105-4f75-8cbb-089e39910cc1","year":2023},"citing_paper":{"arxiv_id":"2601.11942","last_updated":"2026-05-13T00:50:12Z","snapshot_observed_at":"2026-07-06T22:42:03.665045Z","submitted_at":"2026-01-17T07:32:18Z","title":"Geometric Preconditioning and Curriculum Optimization for Trainable Variational Quantum Regression","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-16T13:13:55.126977Z"},"links":{"cited_paper":"/paper/2307.03334","citing_paper":"/paper/2601.11942"},"observation_digest":"sha256:a3a27545c18e7e68596183f871d3987449272e622daea818fc14fedd97c5b3ce","observation_id":"29563a92-75d0-4659-bd59-6f23e5d24236","resolution":{"observed_at":"2026-05-16T13:17:55.022054Z","resolver_source":"arxiv_id","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/2307.03334/citation-record","integrity":"/paper/2307.03334/integrity","json":"/paper/2307.03334/citation-record.json","paper":"/paper/2307.03334"},"outbound":[],"paper":{"arxiv_id":"2307.03334","last_updated":"2025-06-26T03:12:31Z","latest_version":5,"primary_category":"quant-ph","snapshot_observed_at":"2026-07-06T15:51:16.438754Z","submitted_at":"2023-07-07T00:30:16Z","title":"Explainable quantum regression algorithm with encoded data structure"},"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 2 inbound Pith citation observations for arXiv:2307.03334."}