{"as_of":"2026-08-09T01:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5238d89e450abf45eff87ae065fc4d6bcf4b3d760be648846da414872f77a61","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T05:34:07.145929Z","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":"2026-08-07T05:34:07.272255Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.03128","last_updated":"2022-03-19T15:11:05Z","snapshot_observed_at":"2026-07-06T11:55:10.311384Z","submitted_at":"2021-10-07T00:53:33Z","title":"On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications","version":2},"cited_work":{"arxiv_id":"2110.03128","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.03128","snapshot_observed_at":"2026-08-07T05:34:07.272255Z","title":"On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications","venue":"cs.LG","work_id":"6170cb14-051d-473a-a417-df44eaa2b85f","year":2021},"citing_paper":{"arxiv_id":"2506.07861","last_updated":"2025-06-09T15:24:56Z","snapshot_observed_at":"2026-08-09T01:23:53.945440Z","submitted_at":"2025-06-09T15:24:56Z","title":"Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T05:34:07.145929Z"},"links":{"cited_paper":"/paper/2110.03128","citing_paper":"/paper/2506.07861"},"observation_digest":"sha256:5a30b6196c3d5bfc8d726a2d2b213604b159b94c684e5168a69121f29d84f322","observation_id":"26b62803-5ad4-47d4-b176-711a628ac94e","resolution":{"observed_at":"2026-08-07T05:34:07.277171Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2110.03128/citation-record","integrity":"/paper/2110.03128/integrity","json":"/paper/2110.03128/citation-record.json","paper":"/paper/2110.03128"},"outbound":[],"paper":{"arxiv_id":"2110.03128","last_updated":"2022-03-19T15:11:05Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:55:10.311384Z","submitted_at":"2021-10-07T00:53:33Z","title":"On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.03128."}