{"as_of":"2026-08-10T18:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d314eb68bbb213bf0a065a059d7b43456ffef139e8025db30dee21a127ed8a5b","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T19:04:33.996857Z","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":"2026-08-09T19:04:34.087086Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.08788","last_updated":"2022-02-17T17:50:04Z","snapshot_observed_at":"2026-07-06T12:38:52.417555Z","submitted_at":"2022-02-17T17:50:04Z","title":"Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization","version":1},"cited_work":{"arxiv_id":"2202.08788","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.08788","snapshot_observed_at":"2026-08-09T19:04:34.087086Z","title":"Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization","venue":"cs.LG","work_id":"4cc1d1a4-3956-487c-8f2f-2a31de4c1057","year":2022},"citing_paper":{"arxiv_id":"2502.00463","last_updated":"2025-05-31T15:49:27Z","snapshot_observed_at":"2026-08-10T17:14:26.477123Z","submitted_at":"2025-02-01T15:44:39Z","title":"Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T19:04:33.996857Z"},"links":{"cited_paper":"/paper/2202.08788","citing_paper":"/paper/2502.00463"},"observation_digest":"sha256:3cf68a306b1d77c1010ed1734efb420716145632f0f54d0da426916d73efee24","observation_id":"5477690d-15ab-4508-be5e-f476ee8ac3ef","resolution":{"observed_at":"2026-08-09T19:04:34.093016Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2202.08788/citation-record","integrity":"/paper/2202.08788/integrity","json":"/paper/2202.08788/citation-record.json","paper":"/paper/2202.08788"},"outbound":[],"paper":{"arxiv_id":"2202.08788","last_updated":"2022-02-17T17:50:04Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T12:38:52.417555Z","submitted_at":"2022-02-17T17:50:04Z","title":"Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2202.08788."}