{"as_of":"2026-08-18T01:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:89b9bcccda4d9aefba3b3d3f4eba701b37bf1b5546670bad840f3bd3f298db23","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:45:20.815282Z","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":"2026-05-23T01:05:16.065935Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.03299","last_updated":"2023-05-29T06:05:47Z","snapshot_observed_at":"2026-08-17T21:45:05.906558Z","submitted_at":"2022-06-07T13:46:10Z","title":"Generalization Error Bounds for Deep Neural Networks Trained by SGD","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.03299","snapshot_observed_at":"2026-08-12T19:45:20.815282Z","title":"Generalization error bounds for deep neural networks trained by SGD,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.10368","last_updated":"2024-11-15T17:17:46Z","snapshot_observed_at":"2026-08-16T06:26:50.516214Z","submitted_at":"2024-11-15T17:17:46Z","title":"Mechanisms of Generative Image-to-Image Translation Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T19:45:20.815282Z"},"links":{"cited_paper":"/paper/2206.03299","citing_paper":"/paper/2411.10368"},"observation_digest":"sha256:c6406a00adf00e6d34e61d3fe790ce1689a0abccfd6ebf5baf30ff13f7bd5db9","observation_id":"9ee5f667-0d50-48a9-9b6c-70b84fe8378b","resolution":{"observed_at":"2026-08-12T19:45:20.815282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.03299","last_updated":"2023-05-29T06:05:47Z","snapshot_observed_at":"2026-08-17T21:45:05.906558Z","submitted_at":"2022-06-07T13:46:10Z","title":"Generalization Error Bounds for Deep Neural Networks Trained by SGD","version":2},"cited_work":{"arxiv_id":"2206.03299","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.03299","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generalization error bounds for deep neural networks trained by sgd","venue":null,"work_id":"9e1eb69d-b719-4d71-9847-fbe42ab38116","year":null},"citing_paper":{"arxiv_id":"2503.02129","last_updated":"2026-04-08T09:14:02Z","snapshot_observed_at":"2026-08-02T17:02:46.297669Z","submitted_at":"2025-03-03T23:34:12Z","title":"Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-23T01:03:39.897679Z"},"links":{"cited_paper":"/paper/2206.03299","citing_paper":"/paper/2503.02129"},"observation_digest":"sha256:b7dbf0f9a97798efa6dcdbc5f6f296d236f4110938c3cda47bd27497d212968d","observation_id":"5dbb14d6-8446-487a-bcc2-3ca4d549b1b0","resolution":{"observed_at":"2026-05-23T01:05:16.069332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.03299","last_updated":"2023-05-29T06:05:47Z","snapshot_observed_at":"2026-08-17T21:45:05.906558Z","submitted_at":"2022-06-07T13:46:10Z","title":"Generalization Error Bounds for Deep Neural Networks Trained by SGD","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.03299","snapshot_observed_at":"2026-08-05T16:14:10.337719Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.18920","last_updated":"2025-08-26T10:47:59Z","snapshot_observed_at":"2026-08-09T01:51:48.938064Z","submitted_at":"2025-08-26T10:47:59Z","title":"Generalization Bound for a General Class of Neural Ordinary Differential Equations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T16:14:10.337719Z"},"links":{"cited_paper":"/paper/2206.03299","citing_paper":"/paper/2508.18920"},"observation_digest":"sha256:d06523c222b1322093e335623e06d0c541faaa256e5375c7332d81ad704e4de5","observation_id":"b732d131-169b-4e8a-949c-99e7539db07c","resolution":{"observed_at":"2026-08-05T16:14:10.337719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2206.03299/citation-record","integrity":"/paper/2206.03299/integrity","json":"/paper/2206.03299/citation-record.json","paper":"/paper/2206.03299"},"outbound":[],"paper":{"arxiv_id":"2206.03299","last_updated":"2023-05-29T06:05:47Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T21:45:05.906558Z","submitted_at":"2022-06-07T13:46:10Z","title":"Generalization Error Bounds for Deep Neural Networks Trained by SGD"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.03299."}