{"as_of":"2026-08-23T03:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cd77348b67c5c548fc4f8e903e5295fafb2279776c15f8dbb288370957dc138e","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":"2026-08-22T06:32:14.747728+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":"2026-07-11T20:46:05.467029Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.05675","last_updated":"2023-05-09T13:07:03Z","snapshot_observed_at":"2026-08-17T16:09:29.672181Z","submitted_at":"2023-05-09T13:07:03Z","title":"UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.05675","snapshot_observed_at":"2026-07-11T20:46:05.467029Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.04233","last_updated":"2026-07-05T11:11:40Z","snapshot_observed_at":"2026-08-16T20:56:16.792561Z","submitted_at":"2026-07-05T11:11:40Z","title":"Unified convergence analysis for gradient descent optimization methods in the training of deep neural networks","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-07-11T20:46:05.467029Z"},"links":{"cited_paper":"/paper/2305.05675","citing_paper":"/paper/2607.04233"},"observation_digest":"sha256:18834f3bb5105c854c094ff9a2b4bef282c88c4fa6bfc38b7a81a659dafb7b89","observation_id":"4cbf4f20-65e6-45de-a2af-b4f44d7b984e","resolution":{"observed_at":"2026-07-11T20:46:05.467029Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.05675/citation-record","integrity":"/paper/2305.05675/integrity","json":"/paper/2305.05675/citation-record.json","paper":"/paper/2305.05675"},"outbound":[],"paper":{"arxiv_id":"2305.05675","last_updated":"2023-05-09T13:07:03Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T16:09:29.672181Z","submitted_at":"2023-05-09T13:07:03Z","title":"UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.05675."}