{"as_of":"2026-08-14T17:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69d4685fb15faac802f9f3aac473c1479ff55dbc4a2712e3bebd4285844b6e5d","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":"2026-08-14T06:32:32.682623+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":"2026-08-07T14:46:18.184994Z","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":"2026-08-06T18:59:37.215058Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1602.05310","last_updated":"2016-02-17T05:41:07Z","snapshot_observed_at":"2026-07-06T04:46:25.612190Z","submitted_at":"2016-02-17T05:41:07Z","title":"Large Scale Kernel Learning using Block Coordinate Descent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.05310","snapshot_observed_at":"2026-08-07T14:46:18.184994Z","title":"Large scale kernel learning using block coordinate descent","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.17765","last_updated":"2025-05-23T11:36:45Z","snapshot_observed_at":"2026-08-07T14:39:01.980471Z","submitted_at":"2025-05-23T11:36:45Z","title":"Joker: Joint Optimization Framework for Lightweight Kernel Machines","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T14:46:18.184994Z"},"links":{"cited_paper":"/paper/1602.05310","citing_paper":"/paper/2505.17765"},"observation_digest":"sha256:f8b1f72d4c55cc2a2b6fbfaef5f20d962f727780d2aaeb01a95454aa8f42ff82","observation_id":"7b456dcb-749c-4be3-9600-f3612d0d669b","resolution":{"observed_at":"2026-08-07T14:46:18.184994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.05310","last_updated":"2016-02-17T05:41:07Z","snapshot_observed_at":"2026-07-06T04:46:25.612190Z","submitted_at":"2016-02-17T05:41:07Z","title":"Large Scale Kernel Learning using Block Coordinate Descent","version":1},"cited_work":{"arxiv_id":"1602.05310","doi":null,"metadata_source":"pith","pith_arxiv_id":"1602.05310","snapshot_observed_at":"2026-08-06T18:59:37.215058Z","title":"Large Scale Kernel Learning using Block Coordinate Descent","venue":"cs.LG","work_id":"38dab3c4-4260-47a8-aa86-02b7bde8d693","year":2016},"citing_paper":{"arxiv_id":"2507.06839","last_updated":"2025-07-09T13:39:37Z","snapshot_observed_at":"2026-08-09T15:09:08.560738Z","submitted_at":"2025-07-09T13:39:37Z","title":"Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-06T18:59:34.020349Z"},"links":{"cited_paper":"/paper/1602.05310","citing_paper":"/paper/2507.06839"},"observation_digest":"sha256:500175cf3a1fba4639b13d707f408498a0c935fe65db40332dee0a2c111828f7","observation_id":"d7ab5994-adc5-40d8-8ba4-2cf05dbfecea","resolution":{"observed_at":"2026-08-06T18:59:37.252227Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1602.05310/citation-record","integrity":"/paper/1602.05310/integrity","json":"/paper/1602.05310/citation-record.json","paper":"/paper/1602.05310"},"outbound":[],"paper":{"arxiv_id":"1602.05310","last_updated":"2016-02-17T05:41:07Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T04:46:25.612190Z","submitted_at":"2016-02-17T05:41:07Z","title":"Large Scale Kernel Learning using Block Coordinate Descent"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1602.05310."}