{"as_of":"2026-08-18T15:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:66052ca098912a5bf2307e72594e5f103af44d3dfaa79b905ef7ba5a5debf11b","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T18:54:05.277364Z","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":"2026-08-15T18:54:05.953518Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.13552","last_updated":"2023-09-24T05:12:48Z","snapshot_observed_at":"2026-08-16T14:58:08.528889Z","submitted_at":"2023-09-24T05:12:48Z","title":"Iterative Layerwise Training for Quantum Approximate Optimization Algorithm","version":1},"cited_work":{"arxiv_id":"2309.13552","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.13552","snapshot_observed_at":"2026-08-15T18:54:05.953518Z","title":"Iterative Layerwise Training for Quantum Approximate Optimization Algorithm","venue":"quant-ph","work_id":"a80c82b7-6aa9-4c81-bca2-112113451494","year":2023},"citing_paper":{"arxiv_id":"2506.18594","last_updated":"2025-06-23T12:54:06Z","snapshot_observed_at":"2026-08-16T18:56:56.158441Z","submitted_at":"2025-06-23T12:54:06Z","title":"Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T18:54:05.277364Z"},"links":{"cited_paper":"/paper/2309.13552","citing_paper":"/paper/2506.18594"},"observation_digest":"sha256:fafbab34f76d8d677a7bbca02b4af218c788a9177a877b2462689fafce5b64f3","observation_id":"a25cafc2-1a50-491a-9e34-2e8db5fdd72e","resolution":{"observed_at":"2026-08-15T18:54:05.959559Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.13552/citation-record","integrity":"/paper/2309.13552/integrity","json":"/paper/2309.13552/citation-record.json","paper":"/paper/2309.13552"},"outbound":[],"paper":{"arxiv_id":"2309.13552","last_updated":"2023-09-24T05:12:48Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-16T14:58:08.528889Z","submitted_at":"2023-09-24T05:12:48Z","title":"Iterative Layerwise Training for Quantum Approximate Optimization Algorithm"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.13552."}