{"as_of":"2026-08-07T23:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:88cba532d8186b4740782e966ab0e056179f64ed5769e78d9ccff92195005ec7","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":"2026-08-07T06:34:17.273281+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":"2026-07-10T18:52:56.265057Z","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":"2026-07-10T18:57:31.421702Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.05064","last_updated":"2025-07-19T21:33:40Z","snapshot_observed_at":"2026-07-06T17:56:49.318298Z","submitted_at":"2024-04-07T20:24:44Z","title":"A Structure-Guided Gauss-Newton Method for Shallow ReLU Neural Network","version":2},"cited_work":{"arxiv_id":"2404.05064","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.05064","snapshot_observed_at":"2026-07-10T18:57:31.421702Z","title":"A Structure-Guided Gauss-Newton Method for Shallow ReLU Neural Network","venue":"cs.LG","work_id":"2880ec61-b090-47ce-930a-77bb38233060","year":2024},"citing_paper":{"arxiv_id":"2607.07506","last_updated":"2026-07-09T01:37:45Z","snapshot_observed_at":"2026-08-03T05:26:44.776164Z","submitted_at":"2026-07-08T15:02:02Z","title":"Structure-Guided Gauss-Newton Method: Linear Advection-Reaction Equation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-09T08:49:13.836750Z"},"links":{"cited_paper":"/paper/2404.05064","citing_paper":"/paper/2607.07506"},"observation_digest":"sha256:611a3bcdce8259cb6b7af75e802a0d917b28a2826dfaf8b5cf8ed48666140e22","observation_id":"00d8a018-1080-41ae-b19e-7a46041c5240","resolution":{"observed_at":"2026-07-09T08:56:06.460072Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05064","last_updated":"2025-07-19T21:33:40Z","snapshot_observed_at":"2026-07-06T17:56:49.318298Z","submitted_at":"2024-04-07T20:24:44Z","title":"A Structure-Guided Gauss-Newton Method for Shallow ReLU Neural Network","version":2},"cited_work":{"arxiv_id":"2404.05064","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.05064","snapshot_observed_at":"2026-07-10T18:57:31.421702Z","title":"A Structure-Guided Gauss-Newton Method for Shallow ReLU Neural Network","venue":"cs.LG","work_id":"2880ec61-b090-47ce-930a-77bb38233060","year":2024},"citing_paper":{"arxiv_id":"2607.07506","last_updated":"2026-07-09T01:37:45Z","snapshot_observed_at":"2026-08-03T05:26:44.776164Z","submitted_at":"2026-07-08T15:02:02Z","title":"Structure-Guided Gauss-Newton Method: Linear Advection-Reaction Equation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-10T18:52:56.265057Z"},"links":{"cited_paper":"/paper/2404.05064","citing_paper":"/paper/2607.07506"},"observation_digest":"sha256:cf4de3f9d91090984ea9dfb267266efe7721afa8ae376e91cf798ea71b3882c6","observation_id":"d8bd562a-e416-47b0-b380-32a63447aeb7","resolution":{"observed_at":"2026-07-10T18:57:31.423436Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.05064/citation-record","integrity":"/paper/2404.05064/integrity","json":"/paper/2404.05064/citation-record.json","paper":"/paper/2404.05064"},"outbound":[],"paper":{"arxiv_id":"2404.05064","last_updated":"2025-07-19T21:33:40Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:56:49.318298Z","submitted_at":"2024-04-07T20:24:44Z","title":"A Structure-Guided Gauss-Newton Method for Shallow ReLU Neural Network"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.05064."}