{"as_of":"2026-08-19T06:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c4f05dd025fb9cd71078220f719ae23163889c23fd14e1fc0e230d83726be937","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":"2026-08-19T06:32:44.657259+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":"2026-08-15T18:33:38.270503Z","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":"2026-08-15T18:33:38.397934Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.11152","last_updated":"2026-08-08T10:46:59Z","snapshot_observed_at":"2026-08-19T05:25:40.272416Z","submitted_at":"2025-02-16T14:53:52Z","title":"Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks","version":4},"cited_work":{"arxiv_id":"2502.11152","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.11152","snapshot_observed_at":"2026-08-15T18:33:38.397934Z","title":"Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks","venue":"math.OC","work_id":"c0d86fe0-c687-4517-abea-f47eb61193a5","year":2025},"citing_paper":{"arxiv_id":"2506.20344","last_updated":"2026-05-28T12:53:16Z","snapshot_observed_at":"2026-08-16T10:20:52.167004Z","submitted_at":"2025-06-25T11:51:41Z","title":"A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T18:33:38.270503Z"},"links":{"cited_paper":"/paper/2502.11152","citing_paper":"/paper/2506.20344"},"observation_digest":"sha256:e627bf9f33efff5f232db654ef35440e996c880976c6e5a74e7850ce5b3893a1","observation_id":"740cda87-4f8e-4d24-8119-b68de32474cd","resolution":{"observed_at":"2026-08-15T18:33:38.405606Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.11152/citation-record","integrity":"/paper/2502.11152/integrity","json":"/paper/2502.11152/citation-record.json","paper":"/paper/2502.11152"},"outbound":[],"paper":{"arxiv_id":"2502.11152","last_updated":"2026-08-08T10:46:59Z","latest_version":4,"primary_category":"math.OC","snapshot_observed_at":"2026-08-19T05:25:40.272416Z","submitted_at":"2025-02-16T14:53:52Z","title":"Error Bound Analysis for the Regularized Loss of Deep Linear Neural Networks"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2502.11152."}