{"as_of":"2026-08-23T12:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a22127987406b23df27ede34f16e4e96d936b3aa5560aa08abdb9f79454d07ce","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":"2026-08-23T06:30:58.430688+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":"2026-07-12T08:37:58.606121Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.17689","last_updated":"2025-02-03T15:30:38Z","snapshot_observed_at":"2026-08-16T12:58:21.082073Z","submitted_at":"2025-01-29T14:56:42Z","title":"Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers","version":2},"cited_work":{"arxiv_id":"2501.17689","doi":"10.48550/arxiv.2501.17689","metadata_source":"arxiv_reference","pith_arxiv_id":"2501.17689","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A., Wagner, L., and Funcke, L","venue":"ArXiv.org","work_id":"d4176ec9-caa3-44ad-a1aa-04bc7b46dea3","year":2025},"citing_paper":{"arxiv_id":"2502.02625","last_updated":"2026-05-06T07:39:48Z","snapshot_observed_at":"2026-08-08T13:36:02.108089Z","submitted_at":"2025-02-04T14:44:31Z","title":"Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-23T03:36:43.241700Z"},"links":{"cited_paper":"/paper/2501.17689","citing_paper":"/paper/2502.02625"},"observation_digest":"sha256:0d9f5b872ef46dd33302a97d7f86ff961f299aa425be7b05cb2dd7c5d579ed26","observation_id":"7721d43b-ea91-4964-9d42-517812eaf80d","resolution":{"observed_at":"2026-05-23T03:37:27.638606Z","resolver_source":"arxiv_id","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":"2501.17689","last_updated":"2025-02-03T15:30:38Z","snapshot_observed_at":"2026-08-16T12:58:21.082073Z","submitted_at":"2025-01-29T14:56:42Z","title":"Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.17689","snapshot_observed_at":"2026-07-12T08:37:58.606121Z","title":"Nicoli, Luca J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02620","last_updated":"2026-07-02T06:38:31Z","snapshot_observed_at":"2026-08-13T18:52:54.894756Z","submitted_at":"2026-07-02T06:38:31Z","title":"Comparing the Performance of Leading VQE Algorithms for Computing Ground-State Energies of Amino Acids","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-12T08:37:58.606121Z"},"links":{"cited_paper":"/paper/2501.17689","citing_paper":"/paper/2607.02620"},"observation_digest":"sha256:ed50507bdbab2dfe4480e1188e7a1bb3824a9a596843369d7142be60470996d6","observation_id":"9ce7abf6-e510-4705-91ce-b416fd2c6843","resolution":{"observed_at":"2026-07-12T08:37:58.606121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.17689/citation-record","integrity":"/paper/2501.17689/integrity","json":"/paper/2501.17689/citation-record.json","paper":"/paper/2501.17689"},"outbound":[],"paper":{"arxiv_id":"2501.17689","last_updated":"2025-02-03T15:30:38Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-16T12:58:21.082073Z","submitted_at":"2025-01-29T14:56:42Z","title":"Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers"},"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 2 inbound Pith citation observations for arXiv:2501.17689."}