{"as_of":"2026-08-18T22:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f573d586a5d893d93520580bbaafa8afdc79bc9bdef2e37c08efef97ce724dc2","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T10:22:06.017160Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2008.09915","last_updated":"2020-08-22T21:30:41Z","snapshot_observed_at":"2026-08-18T00:22:44.611403Z","submitted_at":"2020-08-22T21:30:41Z","title":"Informative Neural Ensemble Kalman Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.09915","snapshot_observed_at":"2026-08-12T10:22:06.017160Z","title":"Informative neural ensemble kalman learning","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.19323","last_updated":"2024-11-28T18:59:23Z","snapshot_observed_at":"2026-08-12T10:15:38.616644Z","submitted_at":"2024-11-28T18:59:23Z","title":"Learning Surrogate Rainfall-driven Inundation Models with Few Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T10:22:06.017160Z"},"links":{"cited_paper":"/paper/2008.09915","citing_paper":"/paper/2411.19323"},"observation_digest":"sha256:773dfce8c36c7a1fe986e7874fdace0265e00ce3c116956f17790aeab063b997","observation_id":"419d4502-f72b-4330-bc4b-68d7d64ddf8b","resolution":{"observed_at":"2026-08-12T10:22:06.017160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.09915","last_updated":"2020-08-22T21:30:41Z","snapshot_observed_at":"2026-08-18T00:22:44.611403Z","submitted_at":"2020-08-22T21:30:41Z","title":"Informative Neural Ensemble Kalman Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.09915","snapshot_observed_at":"2026-08-11T10:40:57.369064Z","title":"Informative neural ensemble kalman learning","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2412.16407","last_updated":"2024-12-21T00:06:47Z","snapshot_observed_at":"2026-08-18T08:49:32.283151Z","submitted_at":"2024-12-21T00:06:47Z","title":"Rapid Climate Model Downscaling to Assess Risk of Extreme Rainfall in Bangladesh in a Warming Climate","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T10:40:57.369064Z"},"links":{"cited_paper":"/paper/2008.09915","citing_paper":"/paper/2412.16407"},"observation_digest":"sha256:3cca701354034e2e498ca3e911a2cc8922bfe7957b6e6567511ba47136011719","observation_id":"73a2c4b6-db36-4398-ad1b-2ffc6bb34c92","resolution":{"observed_at":"2026-08-11T10:40:57.369064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.09915","last_updated":"2020-08-22T21:30:41Z","snapshot_observed_at":"2026-08-18T00:22:44.611403Z","submitted_at":"2020-08-22T21:30:41Z","title":"Informative Neural Ensemble Kalman Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.09915","snapshot_observed_at":"2026-08-10T23:59:18.332988Z","title":"& Ravela, S","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.19740","last_updated":"2024-12-27T17:02:12Z","snapshot_observed_at":"2026-08-18T05:42:55.858196Z","submitted_at":"2024-12-27T17:02:12Z","title":"A Root-Zone Soil Salinity Observatory for Coastal Southwest Bangladesh","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T23:59:18.332988Z"},"links":{"cited_paper":"/paper/2008.09915","citing_paper":"/paper/2412.19740"},"observation_digest":"sha256:871daf201b3380c15d274c67b5a26c7d97ce85fe4d3074aaee99d3107e752d55","observation_id":"d6e0a427-f457-4625-9181-4de2101fa90a","resolution":{"observed_at":"2026-08-10T23:59:18.332988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.09915","last_updated":"2020-08-22T21:30:41Z","snapshot_observed_at":"2026-08-18T00:22:44.611403Z","submitted_at":"2020-08-22T21:30:41Z","title":"Informative Neural Ensemble Kalman Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.09915","snapshot_observed_at":"2026-08-10T23:05:26.711963Z","title":"Informative neural ensemble kalman learning","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2501.00149","last_updated":"2025-01-06T18:46:25Z","snapshot_observed_at":"2026-08-17T16:02:45.579043Z","submitted_at":"2024-12-30T21:51:09Z","title":"LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T23:05:26.711963Z"},"links":{"cited_paper":"/paper/2008.09915","citing_paper":"/paper/2501.00149"},"observation_digest":"sha256:fa52de6b6f5807b1b07fbaabff1f57062a2a25978003a079229ec750b1b28574","observation_id":"4513ad53-8e31-4c35-b289-1c87c8eefa90","resolution":{"observed_at":"2026-08-10T23:05:26.711963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.09915","last_updated":"2020-08-22T21:30:41Z","snapshot_observed_at":"2026-08-18T00:22:44.611403Z","submitted_at":"2020-08-22T21:30:41Z","title":"Informative Neural Ensemble Kalman Learning","version":1},"cited_work":{"arxiv_id":"2008.09915","doi":"10.48550/arxiv.2008.09915.url:http://arxiv.org/abs/2008.09915(visited","metadata_source":"arxiv_reference","pith_arxiv_id":"2008.09915","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"arXiv:2008.09915 [cs]","venue":null,"work_id":"0619430c-d214-457f-ab75-1cc8a49ef89a","year":2008},"citing_paper":{"arxiv_id":"2601.08116","last_updated":"2026-05-05T17:48:08Z","snapshot_observed_at":"2026-08-14T08:28:22.955650Z","submitted_at":"2026-01-13T01:11:17Z","title":"Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-16T14:59:25.800714Z"},"links":{"cited_paper":"/paper/2008.09915","citing_paper":"/paper/2601.08116"},"observation_digest":"sha256:3d99991dbe62f7a2a7d007fe360e3ef065e56e1d27c6ccf233fd96f9301590dd","observation_id":"a57687d2-45a2-4d12-85b4-ce8d391d9cd2","resolution":{"observed_at":"2026-05-16T15:01:02.984945Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2008.09915/citation-record","integrity":"/paper/2008.09915/integrity","json":"/paper/2008.09915/citation-record.json","paper":"/paper/2008.09915"},"outbound":[],"paper":{"arxiv_id":"2008.09915","last_updated":"2020-08-22T21:30:41Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T00:22:44.611403Z","submitted_at":"2020-08-22T21:30:41Z","title":"Informative Neural Ensemble Kalman Learning"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2008.09915."}