{"as_of":"2026-08-04T22:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d95fa6e0493fe266c5aac4e865dd5086a31ff0b18314ff174be6e82c45c7abfd","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":"2026-08-04T06:34:03.388597+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":"2026-08-01T02:25:00.150311Z","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":"2026-05-21T21:40:40.919676Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.17356","last_updated":"2025-06-04T15:55:57Z","snapshot_observed_at":"2026-07-06T20:56:49.300474Z","submitted_at":"2025-03-21T17:58:12Z","title":"Fast Convex Optimization with Quantum Gradient Methods","version":2},"cited_work":{"arxiv_id":"2503.17356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.17356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast convex optimization with quantum gradient methods.arXiv preprint arXiv:2503.17356, 2025.https://arxiv.org/abs/2503.17356","venue":null,"work_id":"db94926a-e60b-44d8-8898-6f52a4375409","year":2025},"citing_paper":{"arxiv_id":"2510.04736","last_updated":"2026-05-15T18:42:40Z","snapshot_observed_at":"2026-08-02T04:05:01.548146Z","submitted_at":"2025-10-06T12:09:43Z","title":"Quantum Subgradient Estimation for Conditional Value-at-Risk Optimization","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-21T21:37:09.283902Z"},"links":{"cited_paper":"/paper/2503.17356","citing_paper":"/paper/2510.04736"},"observation_digest":"sha256:4cdddbd88a9f26c57f1a9f7ce35afab125e1d5838bbec1e8f762496ec6d1abbe","observation_id":"acbd1a31-3a2d-44d1-9182-619e1ae1c78b","resolution":{"observed_at":"2026-05-21T21:40:40.922310Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.17356","last_updated":"2025-06-04T15:55:57Z","snapshot_observed_at":"2026-07-06T20:56:49.300474Z","submitted_at":"2025-03-21T17:58:12Z","title":"Fast Convex Optimization with Quantum Gradient Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.17356","snapshot_observed_at":"2026-08-01T02:25:00.150311Z","title":"Fast convex optimization with quantum gradient methods.arXiv preprint arXiv:2503.17356, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25492","last_updated":"2026-07-30T02:31:33Z","snapshot_observed_at":"2026-08-02T23:20:29.439242Z","submitted_at":"2026-07-28T09:29:37Z","title":"Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T02:25:00.150311Z"},"links":{"cited_paper":"/paper/2503.17356","citing_paper":"/paper/2607.25492"},"observation_digest":"sha256:646e3d4e6345252ecec845350083f3401f8947919ea59693c39b766e7759395e","observation_id":"42d7919a-c58c-426c-9d23-180e430d1002","resolution":{"observed_at":"2026-08-01T02:25:00.150311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.17356/citation-record","integrity":"/paper/2503.17356/integrity","json":"/paper/2503.17356/citation-record.json","paper":"/paper/2503.17356"},"outbound":[],"paper":{"arxiv_id":"2503.17356","last_updated":"2025-06-04T15:55:57Z","latest_version":2,"primary_category":"quant-ph","snapshot_observed_at":"2026-07-06T20:56:49.300474Z","submitted_at":"2025-03-21T17:58:12Z","title":"Fast Convex Optimization with Quantum Gradient Methods"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.17356."}