{"as_of":"2026-08-12T10:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:251eb4ee7f6b1f56e9e0dd9fccae4c845b08702a13c7298c71c3e60099e596a3","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":"2026-08-12T06:34:41.77262+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":"2026-08-10T22:11:14.744116Z","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":"2026-08-10T22:11:15.229773Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.17763","last_updated":"2025-04-17T21:50:28Z","snapshot_observed_at":"2026-07-06T18:51:41.167282Z","submitted_at":"2024-07-25T04:38:17Z","title":"Randomized Greedy Algorithms for Neural Network Optimization","version":3},"cited_work":{"arxiv_id":"2407.17763","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.17763","snapshot_observed_at":"2026-08-10T22:11:15.229773Z","title":"Randomized Greedy Algorithms for Neural Network Optimization","venue":"math.NA","work_id":"795d0862-36b5-4ca2-a4f5-f0008c3e7174","year":2024},"citing_paper":{"arxiv_id":"2501.02791","last_updated":"2025-01-06T06:18:38Z","snapshot_observed_at":"2026-08-11T16:13:12.765042Z","submitted_at":"2025-01-06T06:18:38Z","title":"Orthogonal greedy algorithm for linear operator learning with shallow neural network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:11:14.744116Z"},"links":{"cited_paper":"/paper/2407.17763","citing_paper":"/paper/2501.02791"},"observation_digest":"sha256:fd352cf85974af54dc1f6b5091d95af7ca7b709f692a0c87d35fd2236ec97afe","observation_id":"6d25dc57-868a-452c-927d-704c6fda19e3","resolution":{"observed_at":"2026-08-10T22:11:15.234621Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.17763/citation-record","integrity":"/paper/2407.17763/integrity","json":"/paper/2407.17763/citation-record.json","paper":"/paper/2407.17763"},"outbound":[],"paper":{"arxiv_id":"2407.17763","last_updated":"2025-04-17T21:50:28Z","latest_version":3,"primary_category":"math.NA","snapshot_observed_at":"2026-07-06T18:51:41.167282Z","submitted_at":"2024-07-25T04:38:17Z","title":"Randomized Greedy Algorithms for Neural Network Optimization"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.17763."}