{"as_of":"2026-08-10T03:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3cbdb9a23a02388ab3b657ca857e8678480f276eafeb3130aaa6cef9fadc6c5d","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T18:54:37.589535Z","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":"2026-08-07T18:54:37.760302Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1104.5070","last_updated":"2011-04-27T04:11:10Z","snapshot_observed_at":"2026-07-06T02:26:52.901468Z","submitted_at":"2011-04-27T04:11:10Z","title":"Online Learning: Stochastic and Constrained Adversaries","version":1},"cited_work":{"arxiv_id":"1104.5070","doi":null,"metadata_source":"pith","pith_arxiv_id":"1104.5070","snapshot_observed_at":"2026-08-07T18:54:37.760302Z","title":"Online Learning: Stochastic and Constrained Adversaries","venue":"stat.ML","work_id":"28bccf6c-69e0-4684-9e70-c51b4c4c6e63","year":2011},"citing_paper":{"arxiv_id":"2502.10292","last_updated":"2025-02-14T16:52:50Z","snapshot_observed_at":"2026-08-07T18:37:39.300128Z","submitted_at":"2025-02-14T16:52:50Z","title":"Small Loss Bounds for Online Learning Separated Function Classes: A Gaussian Process Perspective","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T18:54:37.589535Z"},"links":{"cited_paper":"/paper/1104.5070","citing_paper":"/paper/2502.10292"},"observation_digest":"sha256:48e0dd6f70c71a46eedb714b3e83cb38f4436516b0b1c8268cd4a1cca4b9b8d8","observation_id":"cbe4a3be-b662-419e-8e48-edf40ab6fe4e","resolution":{"observed_at":"2026-08-07T18:54:37.777230Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1104.5070/citation-record","integrity":"/paper/1104.5070/integrity","json":"/paper/1104.5070/citation-record.json","paper":"/paper/1104.5070"},"outbound":[],"paper":{"arxiv_id":"1104.5070","last_updated":"2011-04-27T04:11:10Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T02:26:52.901468Z","submitted_at":"2011-04-27T04:11:10Z","title":"Online Learning: Stochastic and Constrained Adversaries"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1104.5070."}