{"as_of":"2026-08-08T09:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1c9749618cde1f52363813cf22acc8a1a8aac6c4ea01c829fdbdaffba897b9df","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:44:28.799808Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T20:13:58.899526Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.02322","last_updated":"2024-07-02T14:52:21Z","snapshot_observed_at":"2026-07-06T18:40:22.951929Z","submitted_at":"2024-07-02T14:52:21Z","title":"Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02322","snapshot_observed_at":"2026-08-07T13:44:28.799808Z","title":"Stochastic differential equations models for least- squares stochastic gradient descent.arXiv:2407.02322, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.21336","last_updated":"2025-05-27T15:30:34Z","snapshot_observed_at":"2026-08-07T13:27:15.379119Z","submitted_at":"2025-05-27T15:30:34Z","title":"Joint Learning in the Gaussian Single Index Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:44:28.799808Z"},"links":{"cited_paper":"/paper/2407.02322","citing_paper":"/paper/2505.21336"},"observation_digest":"sha256:372ba62ec6a3c0fbe6677ad599f2ed9d228c8abd3fac86d14dbc13934fa6d41c","observation_id":"7ca5ea4b-5a25-4c12-9356-a42d44117dce","resolution":{"observed_at":"2026-08-07T13:44:28.799808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02322","last_updated":"2024-07-02T14:52:21Z","snapshot_observed_at":"2026-07-06T18:40:22.951929Z","submitted_at":"2024-07-02T14:52:21Z","title":"Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent","version":1},"cited_work":{"arxiv_id":"2407.02322","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.02322","snapshot_observed_at":"2026-06-29T20:13:58.899526Z","title":"Stochastic differential equations models for least-squares stochastic gradient descent.arXiv preprint arXiv:2407.02322, 2024","venue":null,"work_id":"08b971b2-33d2-46fb-ae5a-2165c69c996e","year":2024},"citing_paper":{"arxiv_id":"2605.26000","last_updated":"2026-07-30T19:19:20Z","snapshot_observed_at":"2026-08-05T23:10:43.686263Z","submitted_at":"2026-05-25T16:18:39Z","title":"Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-29T20:11:28.707205Z"},"links":{"cited_paper":"/paper/2407.02322","citing_paper":"/paper/2605.26000"},"observation_digest":"sha256:d410bcdeb040391b6f87c7f75597f1de6edadfe2521388586a65ae040580dbd4","observation_id":"d2c63fc3-2921-43a8-82dd-1fbd1b2f06b8","resolution":{"observed_at":"2026-06-29T20:13:58.901031Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02322","last_updated":"2024-07-02T14:52:21Z","snapshot_observed_at":"2026-07-06T18:40:22.951929Z","submitted_at":"2024-07-02T14:52:21Z","title":"Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.02322","snapshot_observed_at":"2026-08-03T00:56:17.810754Z","title":"Stochastic differential equations models for least-squares stochastic gradient descent.arXiv preprint arXiv:2407.02322, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.26000","last_updated":"2026-07-30T19:19:20Z","snapshot_observed_at":"2026-08-05T23:10:43.686263Z","submitted_at":"2026-05-25T16:18:39Z","title":"Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T00:56:17.810754Z"},"links":{"cited_paper":"/paper/2407.02322","citing_paper":"/paper/2605.26000"},"observation_digest":"sha256:615981516dbaf3d9475a9b012a9dded2e28b9a615213156ba48eeb314280a8f9","observation_id":"89b28811-8df0-4129-a9c6-ad1604e80b93","resolution":{"observed_at":"2026-08-03T00:56:17.810754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.02322/citation-record","integrity":"/paper/2407.02322/integrity","json":"/paper/2407.02322/citation-record.json","paper":"/paper/2407.02322"},"outbound":[],"paper":{"arxiv_id":"2407.02322","last_updated":"2024-07-02T14:52:21Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:40:22.951929Z","submitted_at":"2024-07-02T14:52:21Z","title":"Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.02322."}