{"as_of":"2026-08-20T03:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de4b36dbee2898058cf05c34e5171b79883442b69d6013c369d3041751316196","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":"2026-08-19T06:32:44.657259+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":"2026-08-15T18:01:08.300772Z","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":"2026-05-24T01:05:54.736011Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.03923","last_updated":"2024-01-08T14:34:35Z","snapshot_observed_at":"2026-08-18T04:52:53.229303Z","submitted_at":"2024-01-08T14:34:35Z","title":"A non-asymptotic distributional theory of approximate message passing for sparse and robust regression","version":1},"cited_work":{"arxiv_id":"2401.03923","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.03923","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A non-asymptotic distributional theory of approximate message passing for sparse and robust regression","venue":null,"work_id":"1816c56d-e1b1-4f5f-90eb-6d3fe88192e4","year":2024},"citing_paper":{"arxiv_id":"2405.03063","last_updated":"2026-04-13T04:32:27Z","snapshot_observed_at":"2026-07-06T18:10:08.416524Z","submitted_at":"2024-05-05T22:05:02Z","title":"Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-24T01:04:30.997254Z"},"links":{"cited_paper":"/paper/2401.03923","citing_paper":"/paper/2405.03063"},"observation_digest":"sha256:7b445213e4317590b41f1e03e3315de902fae429d449f90aa85eaf07bb57e550","observation_id":"fe4aa68f-fd64-4ea2-ad7b-b9b2a9a4f2b4","resolution":{"observed_at":"2026-05-24T01:05:54.738348Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03923","last_updated":"2024-01-08T14:34:35Z","snapshot_observed_at":"2026-08-18T04:52:53.229303Z","submitted_at":"2024-01-08T14:34:35Z","title":"A non-asymptotic distributional theory of approximate message passing for sparse and robust regression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03923","snapshot_observed_at":"2026-08-15T18:01:08.300772Z","title":"Li and Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.19611","last_updated":"2025-07-25T18:28:09Z","snapshot_observed_at":"2026-08-18T09:53:44.817646Z","submitted_at":"2025-07-25T18:28:09Z","title":"State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:01:08.300772Z"},"links":{"cited_paper":"/paper/2401.03923","citing_paper":"/paper/2507.19611"},"observation_digest":"sha256:e9e927c24b95ad0d93e6bb1d5b282ed97c7b9c8832eb17f5171b1521e976abfa","observation_id":"86e3208e-dfee-4294-94a4-03e493d754da","resolution":{"observed_at":"2026-08-15T18:01:08.300772Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.03923","last_updated":"2024-01-08T14:34:35Z","snapshot_observed_at":"2026-08-18T04:52:53.229303Z","submitted_at":"2024-01-08T14:34:35Z","title":"A non-asymptotic distributional theory of approximate message passing for sparse and robust regression","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.03923","snapshot_observed_at":"2026-08-04T23:35:25.803353Z","title":"arXiv preprint arXiv:2401.03923 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01654","last_updated":"2026-08-03T03:44:13Z","snapshot_observed_at":"2026-08-19T11:30:15.104482Z","submitted_at":"2026-08-03T03:44:13Z","title":"Approximate Message Passing with Random Initialization for Phase Retrieval","version":1},"reference_index":125,"source":"arxiv_source","source_observed_at":"2026-08-04T23:35:25.803353Z"},"links":{"cited_paper":"/paper/2401.03923","citing_paper":"/paper/2608.01654"},"observation_digest":"sha256:331c759382a769c91a50cda4626b2f946eaf1ae1936cd7372c2fe972b5103fb4","observation_id":"9dd537c4-fd65-4a5e-8077-0d3b0b1b26e2","resolution":{"observed_at":"2026-08-04T23:35:25.803353Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.03923/citation-record","integrity":"/paper/2401.03923/integrity","json":"/paper/2401.03923/citation-record.json","paper":"/paper/2401.03923"},"outbound":[],"paper":{"arxiv_id":"2401.03923","last_updated":"2024-01-08T14:34:35Z","latest_version":1,"primary_category":"math.ST","snapshot_observed_at":"2026-08-18T04:52:53.229303Z","submitted_at":"2024-01-08T14:34:35Z","title":"A non-asymptotic distributional theory of approximate message passing for sparse and robust regression"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.03923."}