{"as_of":"2026-08-10T06:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9cbe1447ea227af920760a535908989e0cd8b3d8921af38177a3775b58099297","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T05:57:22.677585Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-10T05:30:23.456663Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.07890","last_updated":"2023-12-27T03:36:29Z","snapshot_observed_at":"2026-08-05T09:44:53.829553Z","submitted_at":"2023-05-13T10:27:29Z","title":"Robust Kalman Filters Based on the Sub-Gaussian $\\alpha$-stable Distribution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07890","snapshot_observed_at":"2026-08-07T05:57:22.677585Z","title":"Pmc-15m: A large-scale dataset for medical vision-language pretraining","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06600","last_updated":"2025-06-14T19:41:30Z","snapshot_observed_at":"2026-08-08T19:29:49.172087Z","submitted_at":"2025-06-07T00:26:23Z","title":"RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware Constraints","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:57:22.677585Z"},"links":{"cited_paper":"/paper/2305.07890","citing_paper":"/paper/2506.06600"},"observation_digest":"sha256:9e67b8d1eb4b28894146e56d7c67b2a26f5be455a83b2e1e9cacbc3bfb2df5ee","observation_id":"1aad558e-94e1-447e-bc96-998d294aecf9","resolution":{"observed_at":"2026-08-07T05:57:22.677585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07890","last_updated":"2023-12-27T03:36:29Z","snapshot_observed_at":"2026-08-05T09:44:53.829553Z","submitted_at":"2023-05-13T10:27:29Z","title":"Robust Kalman Filters Based on the Sub-Gaussian $\\alpha$-stable Distribution","version":3},"cited_work":{"arxiv_id":"2305.07890","doi":"10.48550/arxiv.2305.07890","metadata_source":"pith","pith_arxiv_id":"2305.07890","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Robust Kalman Filters Based on the Sub-Gaussian $\\alpha$-stable Distribution","venue":"eess.SP","work_id":"61c03476-b536-48b2-860a-ad70a77f2a12","year":2023},"citing_paper":{"arxiv_id":"2508.12973","last_updated":"2025-08-18T14:50:39Z","snapshot_observed_at":"2026-08-08T03:49:00.343222Z","submitted_at":"2025-08-18T14:50:39Z","title":"The R-index: A universal metric for evaluating OAM content and mode purity in optical fields","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T19:12:31.317820Z"},"links":{"cited_paper":"/paper/2305.07890","citing_paper":"/paper/2508.12973"},"observation_digest":"sha256:19086c5921fbc7f93ec1487ad2ef66d2f29af127eb4994400ec4828447a451c9","observation_id":"14441c52-4038-44ef-9105-cc622083810f","resolution":{"observed_at":"2026-08-05T19:12:35.983854Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.07890/citation-record","integrity":"/paper/2305.07890/integrity","json":"/paper/2305.07890/citation-record.json","paper":"/paper/2305.07890"},"outbound":[],"paper":{"arxiv_id":"2305.07890","last_updated":"2023-12-27T03:36:29Z","latest_version":3,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-05T09:44:53.829553Z","submitted_at":"2023-05-13T10:27:29Z","title":"Robust Kalman Filters Based on the Sub-Gaussian $\\alpha$-stable Distribution"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.07890."}