{"as_of":"2026-08-20T08:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:25c68604df2aa6715e098f714cd15c6da403df8ab54c723891bc80ebae7f36a0","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":"2026-08-20T06:33:59.587034+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":"2026-08-02T12:16:41.098670Z","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":"2026-07-02T16:07:08.506675Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.14609","last_updated":"2023-11-24T17:04:21Z","snapshot_observed_at":"2026-08-16T14:40:36.175564Z","submitted_at":"2023-11-24T17:04:21Z","title":"Analysis of the expected $L_2$ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization","version":1},"cited_work":{"arxiv_id":"2311.14609","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.14609","snapshot_observed_at":"2026-07-02T16:07:08.506675Z","title":"Analysis of the expected l 2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization.arXiv preprint arXiv:2311.14609, 2023","venue":null,"work_id":"7eec8493-97cf-4002-a786-88ab39b969ad","year":2023},"citing_paper":{"arxiv_id":"2606.06772","last_updated":"2026-07-29T13:42:12Z","snapshot_observed_at":"2026-08-12T19:49:05.420715Z","submitted_at":"2026-06-04T23:31:52Z","title":"Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T23:03:52.889955Z"},"links":{"cited_paper":"/paper/2311.14609","citing_paper":"/paper/2606.06772"},"observation_digest":"sha256:35167d95a54c803ecf38caeca4fe29bb8d4c7ed80938d7d1184ea636b722775b","observation_id":"bc57cc5d-b4a0-44e0-8c50-b89bfa38fa7e","resolution":{"observed_at":"2026-07-02T16:07:08.508210Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.14609","last_updated":"2023-11-24T17:04:21Z","snapshot_observed_at":"2026-08-16T14:40:36.175564Z","submitted_at":"2023-11-24T17:04:21Z","title":"Analysis of the expected $L_2$ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.14609","snapshot_observed_at":"2026-08-02T12:16:41.098670Z","title":"Analysis of the expected l 2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization.arXiv preprint arXiv:2311.14609, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.06772","last_updated":"2026-07-29T13:42:12Z","snapshot_observed_at":"2026-08-12T19:49:05.420715Z","submitted_at":"2026-06-04T23:31:52Z","title":"Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T12:16:41.098670Z"},"links":{"cited_paper":"/paper/2311.14609","citing_paper":"/paper/2606.06772"},"observation_digest":"sha256:008572cfcb054c849be47d3f0aecf04ca1b123de3310e607cc2242885ab68ab1","observation_id":"9beb56a9-124e-4ed4-bbec-9b7f6f844e6a","resolution":{"observed_at":"2026-08-02T12:16:41.098670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.14609/citation-record","integrity":"/paper/2311.14609/integrity","json":"/paper/2311.14609/citation-record.json","paper":"/paper/2311.14609"},"outbound":[],"paper":{"arxiv_id":"2311.14609","last_updated":"2023-11-24T17:04:21Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-16T14:40:36.175564Z","submitted_at":"2023-11-24T17:04:21Z","title":"Analysis of the expected $L_2$ error of an over-parametrized deep neural network estimate learned by gradient descent without regularization"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.14609."}