{"as_of":"2026-08-20T11:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:830e66758dc22627e19f83de5ced4d4569aa5b982e3f00a6abab0027f43b56f8","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":"2026-08-20T06:33:59.587034+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":"2026-08-01T16:10:18.681378Z","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":"2026-05-22T22:12:11.798052Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.15131","last_updated":"2024-06-21T13:27:36Z","snapshot_observed_at":"2026-08-19T22:15:02.544453Z","submitted_at":"2024-06-21T13:27:36Z","title":"KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty","version":1},"cited_work":{"arxiv_id":"2406.15131","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.15131","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kalmamba: Towards efficient probabilistic state space models for rl under uncertainty","venue":null,"work_id":"959c8f27-a820-471a-907a-d47a7f2436ac","year":2024},"citing_paper":{"arxiv_id":"2503.18970","last_updated":"2026-08-10T17:25:54Z","snapshot_observed_at":"2026-08-13T23:48:35.423924Z","submitted_at":"2025-03-22T01:55:32Z","title":"Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-22T22:07:12.198095Z"},"links":{"cited_paper":"/paper/2406.15131","citing_paper":"/paper/2503.18970"},"observation_digest":"sha256:fa747d4877055586a9f4f239dfe1c1ecabfc2567369ea20b3a40f924b433b0ae","observation_id":"4ed4c4aa-4cef-46dd-a4ec-d0fcac987f05","resolution":{"observed_at":"2026-05-22T22:12:11.800357Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15131","last_updated":"2024-06-21T13:27:36Z","snapshot_observed_at":"2026-08-19T22:15:02.544453Z","submitted_at":"2024-06-21T13:27:36Z","title":"KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty","version":1},"cited_work":{"arxiv_id":"2406.15131","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.15131","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Kalmamba: Towards efficient probabilistic state space models for rl under uncertainty","venue":null,"work_id":"959c8f27-a820-471a-907a-d47a7f2436ac","year":2024},"citing_paper":{"arxiv_id":"2604.09671","last_updated":"2026-04-01T22:28:38Z","snapshot_observed_at":"2026-08-11T19:11:36.669308Z","submitted_at":"2026-04-01T22:28:38Z","title":"Belief-State RWKV for Reinforcement Learning under Partial Observability","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-13T21:56:09.642064Z"},"links":{"cited_paper":"/paper/2406.15131","citing_paper":"/paper/2604.09671"},"observation_digest":"sha256:900d268d09c0aee850940da12270e44ec675bc388fc3871e93df070331b58ab8","observation_id":"d62718c6-1f64-412a-b6d5-efa6781f6b9a","resolution":{"observed_at":"2026-05-13T21:58:19.929937Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15131","last_updated":"2024-06-21T13:27:36Z","snapshot_observed_at":"2026-08-19T22:15:02.544453Z","submitted_at":"2024-06-21T13:27:36Z","title":"KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15131","snapshot_observed_at":"2026-08-01T16:10:18.681378Z","title":"arXiv preprint arXiv:2406.15131 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26429","last_updated":"2026-07-29T03:15:36Z","snapshot_observed_at":"2026-08-06T05:12:46.477344Z","submitted_at":"2026-07-29T03:15:36Z","title":"NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-01T16:10:18.681378Z"},"links":{"cited_paper":"/paper/2406.15131","citing_paper":"/paper/2607.26429"},"observation_digest":"sha256:65a525e1c22c7fc4a6d50bde7da6b50df45b54e40bb639335b651fcb5be906f9","observation_id":"6f0403c1-ceca-4fc0-89c2-2c904cefa538","resolution":{"observed_at":"2026-08-01T16:10:18.681378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.15131/citation-record","integrity":"/paper/2406.15131/integrity","json":"/paper/2406.15131/citation-record.json","paper":"/paper/2406.15131"},"outbound":[],"paper":{"arxiv_id":"2406.15131","last_updated":"2024-06-21T13:27:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T22:15:02.544453Z","submitted_at":"2024-06-21T13:27:36Z","title":"KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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:2406.15131."}