{"as_of":"2026-08-11T08:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:44e826f08d299cdf929e76aa1e127f5fc3b9afe91cee3b9a8da43bb92db8e9c5","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":"2026-08-11T06:34:44.6726+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":"2026-08-07T21:56:28.094778Z","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":"2026-08-06T22:55:24.348344Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.10790","last_updated":"2025-05-06T17:29:39Z","snapshot_observed_at":"2026-08-10T08:10:42.588610Z","submitted_at":"2021-04-21T23:07:18Z","title":"Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.10790","snapshot_observed_at":"2026-08-07T21:56:28.094778Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.09376","last_updated":"2025-06-03T01:42:41Z","snapshot_observed_at":"2026-08-10T07:38:47.401063Z","submitted_at":"2025-02-13T14:45:11Z","title":"LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail)","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T21:56:28.094778Z"},"links":{"cited_paper":"/paper/2104.10790","citing_paper":"/paper/2502.09376"},"observation_digest":"sha256:4fc52fa04b41c43748d0886b23d02055e05940014439051153709566f34a083c","observation_id":"85bf6b30-e480-4139-9ae0-99e21e6a5400","resolution":{"observed_at":"2026-08-07T21:56:28.094778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.10790","last_updated":"2025-05-06T17:29:39Z","snapshot_observed_at":"2026-08-10T08:10:42.588610Z","submitted_at":"2021-04-21T23:07:18Z","title":"Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime","version":3},"cited_work":{"arxiv_id":"2104.10790","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.10790","snapshot_observed_at":"2026-08-06T22:55:24.348344Z","title":"Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime","venue":"math.OC","work_id":"b007326d-11c0-4b15-aecd-51024536a2d1","year":2021},"citing_paper":{"arxiv_id":"2506.20659","last_updated":"2025-06-25T17:53:52Z","snapshot_observed_at":"2026-08-11T01:24:52.260877Z","submitted_at":"2025-06-25T17:53:52Z","title":"A High-Dimensional Statistical Theory for Convex and Nonconvex Matrix Sensing","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-06T22:55:24.040641Z"},"links":{"cited_paper":"/paper/2104.10790","citing_paper":"/paper/2506.20659"},"observation_digest":"sha256:e00fe6313ca3027c59bfc39f980b7bbdc43c7dde591f5b027facba47c49c2a1b","observation_id":"f893e9da-4a6f-4fc2-94eb-29192966b9e6","resolution":{"observed_at":"2026-08-06T22:55:24.352906Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2104.10790/citation-record","integrity":"/paper/2104.10790/integrity","json":"/paper/2104.10790/citation-record.json","paper":"/paper/2104.10790"},"outbound":[],"paper":{"arxiv_id":"2104.10790","last_updated":"2025-05-06T17:29:39Z","latest_version":3,"primary_category":"math.OC","snapshot_observed_at":"2026-08-10T08:10:42.588610Z","submitted_at":"2021-04-21T23:07:18Z","title":"Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.10790."}