{"as_of":"2026-08-16T18:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b9c3947ca9103ca9adfaf98778b7e86bbeb442ddde1e3c337b5a6287b5a5b738","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T10:57:38.333926Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.18864/citation-record","integrity":"/paper/2411.18864/integrity","json":"/paper/2411.18864/citation-record.json","paper":"/paper/2411.18864"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.968985Z","title":"Neural assimilation","venue":null,"work_id":"505a6e84-cc49-4dea-9201-f91d97ba6911","year":2020},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.169756Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:bd707668342dd22644ef8b94917a77eed46ed19e98f0deca234ec57096fc0989","observation_id":"8e32ec91-6c48-4d06-9092-c16fef537eec","resolution":{"observed_at":"2026-08-12T10:57:38.973111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.955613Z","title":"SIAM, 2016","venue":null,"work_id":"97a5fbd2-5818-44d3-8b51-7aad19980268","year":2016},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.176386Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:34b8f50558f5cc1eb0082c0a3eed9d1d6274f96a261e7f59174f9f69e012182f","observation_id":"f624abff-7c60-4539-96e4-db18b3ffe7b4","resolution":{"observed_at":"2026-08-12T10:57:38.959861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.942326Z","title":"Representing parametric probabilistic models tainted with imprecision","venue":null,"work_id":"3ff024e9-c829-48c8-8f54-6b0f80f45a1b","year":1913},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.180933Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:55c8991d7aac2ea4b50a28da8b5e23b909a4c6fc3a7c7f0b8a955a74cefcd7c9","observation_id":"2854965f-053f-4415-ab24-f0945f2e26ba","resolution":{"observed_at":"2026-08-12T10:57:38.946478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.924801Z","title":"Robust Kalman and Bayesian set-valued filtering and model validation for linear stochastic systems","venue":null,"work_id":"28e11bb8-9de1-419e-9338-b939633e9ca2","year":2023},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.185528Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:f5540b948ef6833a47b58a8c36ebdd8dbc067a63ceedaf8b1309551a951ee715","observation_id":"5c6f74bb-2ec2-425b-9fc0-9cf574112e98","resolution":{"observed_at":"2026-08-12T10:57:38.930666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.910307Z","title":"Analysis scheme in the ensemble Kalman filter","venue":null,"work_id":"1d78cdc5-10f1-4b05-9782-eab9fe2988c7","year":1998},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.190937Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:9779b2d5de728652fde617e89e695b46985b471885f43cf54e069b06ca415199","observation_id":"1a2b311b-3565-4b57-9cc7-ecf7fe2d6fc5","resolution":{"observed_at":"2026-08-12T10:57:38.914301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.898278Z","title":"Observer control for bearings-only tracking using possibility functions","venue":null,"work_id":"ae115bd9-10e2-48d7-a97e-527cd2bba6d0","year":2021},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.195297Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:91268f403b6d7ce695d58183b7023db38042170f1c8d1f64c64bff8c19f1973f","observation_id":"406dd1e1-27ad-4b68-ac67-6c876c8a5d46","resolution":{"observed_at":"2026-08-12T10:57:38.902507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.884201Z","title":"Reducing the bandwidth of sparse symmetric matrices","venue":null,"work_id":"188e31c3-14ed-49ae-8242-2e974007d8b6","year":1969},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.199608Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:791eadc9e84d19bdd776ea34774d063505a8d1cd4cfe4817dd7bfe12ddec706e","observation_id":"91c3b7f5-5607-462d-af61-90d5d062e7b5","resolution":{"observed_at":"2026-08-12T10:57:38.889525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.865674Z","title":"Conditioning in possibility theory with strict order norms","venue":null,"work_id":"1be60039-eb91-465f-b478-1f9c6c55cce6","year":1999},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.203678Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:8d6e0ff6be28f5a8f47dd1eec666b51973d41903f6657f0b81d0054b5be6d0fd","observation_id":"8eba5afa-5305-42a4-8fda-da59a1a636f7","resolution":{"observed_at":"2026-08-12T10:57:38.870478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.849503Z","title":"The Dempster–Shafer calculus for statisticians","venue":null,"work_id":"b30ef152-c5c7-4b02-b631-cf73650972cd","year":2008},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.207596Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:2ae334d7f8dae7eab224ecd2f350b6a0f0ca7809c586ef01d381db620672ccf7","observation_id":"cb556002-c4f1-4216-8d4c-c639e3fadf99","resolution":{"observed_at":"2026-08-12T10:57:38.853971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.834895Z","title":"Possibility theory, probability and fuzzy sets misun- derstandings, bridges and gaps: Misunderstandings, bridges and gaps","venue":null,"work_id":"23db44b6-9ef8-4917-a8a2-0dd6463d2ef8","year":2000},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.211763Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:e29fc2ae224f267b4d019a6f6ce225f1bb69aaa00a87e69e8791f939c0af9916","observation_id":"3ecc350d-5150-4979-9f6f-4a8aceb26af3","resolution":{"observed_at":"2026-08-12T10:57:38.840532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.819078Z","title":"Possibility theory and its applications: Where do we stand? Springer Handbook of Computational Intelligence , pages 31–60, 2015","venue":null,"work_id":"ac57c772-adf1-44e1-a2f0-ee12bc487028","year":2015},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.215530Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:132c9101b2888aafd4568679eb498f75efbed03d47f6a947f2cf1eda0d710e66","observation_id":"3f5296f0-e0d1-4d54-82f4-aa0de36b8751","resolution":{"observed_at":"2026-08-12T10:57:38.824024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.804363Z","title":"Particle filters and data assimilation.Annual Review of Statistics and Its Application , 5:421–449, 2018","venue":null,"work_id":"dddc0b0f-f294-4ab5-ad55-0d499f68d5fd","year":2018},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.219213Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:8dc3da55b0a478abec73f5f90a0269bf6d04b23b72b1e949c432038c102703a6","observation_id":"8c56cb49-c61e-4353-86cc-3e19e5812b66","resolution":{"observed_at":"2026-08-12T10:57:38.809315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.787173Z","title":"The fiducial argument in statistical inference","venue":null,"work_id":"1a63110d-879f-485b-b7b1-31e864a52283","year":1935},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.222982Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:a012c2c2daf232fa0048660ee71948be4526c02b828f54111c98b5b6dc30329a","observation_id":"af13b756-8098-4fd7-a867-03c621ba4638","resolution":{"observed_at":"2026-08-12T10:57:38.791653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.770716Z","title":"Ensemble Kalman filtering and generalizations","venue":null,"work_id":"86c66f0c-cd94-42d0-96ca-aab960ab65ef","year":2013},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.227353Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:6900f2304cb6b4591859a49f4aec4faaed4acb913e9096ce7fc3e92c0d718eda","observation_id":"b249bab9-fd31-45d5-b7a8-8a023da1fb4c","resolution":{"observed_at":"2026-08-12T10:57:38.775751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.748327Z","title":"A quasi-Monte Carlo method for optimal control under uncertainty.SIAM/ASA Journal on Uncertainty Quantification, 9(2):354–383, 2021","venue":null,"work_id":"f7d1ab9c-4948-4d28-9b44-0b67580e2cb7","year":2021},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.231173Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:2c5c2e14e6155a5675ad92c8614147c18939f61d0ff5a58ee8d4fa3cc2814507","observation_id":"d386dd82-748f-462d-9d07-e4b3ba6ccd57","resolution":{"observed_at":"2026-08-12T10:57:38.756526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.725441Z","title":"Generalized fiducial inference: A review and new results","venue":null,"work_id":"f897a260-ed71-4226-ad9a-a959e5eab7ba","year":2016},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.235448Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:18b9b8f7de5b1fef0e1b0b30ce6512ebaf7ef7ac89b3c41986ef59f4e771238a","observation_id":"6009d3b8-fb55-4b70-b4fb-71e7fa2b1bcd","resolution":{"observed_at":"2026-08-12T10:57:38.730741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.00569","last_updated":"2020-04-19T19:32:19Z","snapshot_observed_at":"2026-08-14T19:58:40.961020Z","submitted_at":"2018-01-02T07:51:56Z","title":"Parameter estimation with a class of outer probability measures","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.00569","snapshot_observed_at":"2026-08-12T10:57:38.239482Z","title":"Parameter estimation with a class of outer probability measures","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.239482Z"},"links":{"cited_paper":"/paper/1801.00569","citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:21995485f3d8f2288ea5ebaab4425d874100250d2f941599a957fdf81e8adfab","observation_id":"44036109-c2f3-49b8-83aa-e701e8179889","resolution":{"observed_at":"2026-08-12T10:57:38.239482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.708962Z","title":"A linear algorithm for multi-target tracking in the context of possibility theory","venue":null,"work_id":"31f29b4f-c199-43d4-bdaf-fff001015ac5","year":2021},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.243512Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:c9ff5a439bc72508bf3b9948fb76646997038f0a69429791d30f13b8aa6f6c9b","observation_id":"d6f3c6f0-95ca-499c-ad09-3438b82bc048","resolution":{"observed_at":"2026-08-12T10:57:38.714200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.694384Z","title":"Smoothing and filtering with a class of outer measures","venue":null,"work_id":"6ee6f746-d747-4b9d-8ff1-157d294abdd0","year":2018},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.248178Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:2935966e81e84692d361353c43f9828346240b12411befc1b4854b3760e56eb1","observation_id":"2d05750a-0759-48a5-b761-9ec25b2eb9a1","resolution":{"observed_at":"2026-08-12T10:57:38.698994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.04331","last_updated":"2020-05-03T10:58:59Z","snapshot_observed_at":"2026-08-16T14:55:27.037738Z","submitted_at":"2019-08-12T18:38:23Z","title":"Elements of asymptotic theory with outer probability measures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.04331","snapshot_observed_at":"2026-08-12T10:57:38.252336Z","title":"Elements of asymptotic theory with outer probability measures","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.252336Z"},"links":{"cited_paper":"/paper/1908.04331","citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:f512c9095533a7e9addedf5c510cca26c2cff980fd392cc9f736aeba3dd13da5","observation_id":"58e91bc9-4340-4fc9-a1fa-efc5dc7cca1c","resolution":{"observed_at":"2026-08-12T10:57:38.252336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.677776Z","title":"On domain lo- calization in ensemble-based Kalman filter algorithms","venue":null,"work_id":"21a2b40a-ead0-4603-b2bd-dd342c3ab37b","year":2011},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.257934Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:a4df36c0f46ad843e4ba312577a697b1032cf87dde009217fcf756a30b96173d","observation_id":"84325a5a-e2e6-4229-b47b-b36436f9824d","resolution":{"observed_at":"2026-08-12T10:57:38.684133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.661152Z","title":null,"venue":null,"work_id":"4d9d0038-9bd9-4aca-a4da-d7dded0e9d66","year":1960},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.264371Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:87627d8c1b7812a5d1cc09fb1566f744f2349f6146a8d5ab4cf7ca1334a3acc1","observation_id":"1177f2b5-8c76-41ac-93c0-7b814581081d","resolution":{"observed_at":"2026-08-12T10:57:38.668584Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.641908Z","title":"Atmospheric modeling, data assimilation and predictability","venue":null,"work_id":"06ad3f90-c48f-4942-bc10-a0e1f26bf14c","year":2003},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.268637Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:557d280ff562e5f90e3e30760173a6d3c302c5363ed70adc76dfde14660dc0df","observation_id":"09d9ac60-b5f9-46b8-bb11-ccba6b10fbe4","resolution":{"observed_at":"2026-08-12T10:57:38.649790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.619113Z","title":"Understanding the ensemble Kalman filter","venue":null,"work_id":"0a2d4875-c455-49d8-a5d0-5841ee000406","year":2016},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.272963Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:3a46c4e7c8c4bb96eca02fdfb08812378adb7da788c6ac8aed04adf3f0420dfc","observation_id":"1c712d51-0d57-43b6-ae4b-d6a7c92b324c","resolution":{"observed_at":"2026-08-12T10:57:38.625460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.605012Z","title":"Ensemble Kalman filtering with an alternative representation of uncertainty","venue":null,"work_id":"7507c65c-edb2-4938-aa9c-6c545567c448","year":2024},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.277806Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:43fdde6bd68eeb65dafbfd80cdfb0f131da2a8cee47417fbc1cd0c1cac51e225","observation_id":"c95b4886-1f71-4828-ac37-ecc32d4bed79","resolution":{"observed_at":"2026-08-12T10:57:38.609506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.591938Z","title":"Monte Carlo and quasi-Monte Carlo sampling , volume 20","venue":null,"work_id":"ecee08e8-2d5d-4754-98d4-e26aab3445a4","year":2009},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.281624Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:b0e6e98c80d3ebe416bf31b59e2056e0af2a70f0e2cd3d2d5173dd809ae09816","observation_id":"63bf291c-fecb-458a-85ae-81dcbadfca46","resolution":{"observed_at":"2026-08-12T10:57:38.596895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.577261Z","title":"Reasoning with belief functions: An analysis of compatibility","venue":null,"work_id":"24113ad0-470a-44a7-84a1-417298d7ff5b","year":1990},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.286371Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:e09462ca1f132ebc2055e8c248565bc021654eaedc5f8c57e98b3d667241fa3b","observation_id":"e4b3c294-c0b2-4d75-9911-583549b998a2","resolution":{"observed_at":"2026-08-12T10:57:38.582519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.559552Z","title":"Localization in the ensemble Kalman filter","venue":null,"work_id":"eb3a27c8-8e8a-47e6-ac69-019188aa2faa","year":2008},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.290214Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:3af8c4512d2e55690da307453b073da492a4c15616a6577c4546bf0d42ceb29f","observation_id":"c34c0f22-67ec-448a-9606-92b7e877db89","resolution":{"observed_at":"2026-08-12T10:57:38.564332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.546172Z","title":"Probabilistic forecasting and Bayesian data assimilation","venue":null,"work_id":"7ba89ff5-3582-4daf-aea0-9cccadceb642","year":2015},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.294925Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:b4f3798559b535084f963fe4b6b8014255b98aa7e0cdee72a6c1c5e8ac801bd1","observation_id":"d1e7798b-fd3a-4edb-9afe-bc2134d9181f","resolution":{"observed_at":"2026-08-12T10:57:38.551337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.523383Z","title":"Monte Carlo statistical methods , volume 2","venue":null,"work_id":"c0ed944c-bba4-41af-91bc-2456648600e7","year":1999},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.299618Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:564d3b684b9e81de8e8c68628d18824cdd1aae37f9b85c6c359565ddd5a8a7ff","observation_id":"dae64f59-6d4d-4b4b-94fd-efb670673184","resolution":{"observed_at":"2026-08-12T10:57:38.530756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.504782Z","title":"Cambridge University Press, 2023","venue":null,"work_id":"9ef81b1d-63bb-4195-9a65-76224d149b4a","year":2023},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.303350Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:bf9cd8a39fcc194decd0833b0f57f19fff11223985cbd76454aee3ae05cd4991","observation_id":"465cee80-b845-427a-b146-840221744d06","resolution":{"observed_at":"2026-08-12T10:57:38.510979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.487348Z","title":"An optimal transport formulation of the ensemble Kalman filter","venue":null,"work_id":"dbff1385-f6a8-44c2-bcef-035fd6d05af7","year":2020},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.308111Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:6716cf25ab2cb2515a3612ec65aed318e67ff503813fd3585f7d675c0c15d7eb","observation_id":"1e7b37ae-a824-4d9b-a467-38e8d74102dd","resolution":{"observed_at":"2026-08-12T10:57:38.493060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.471665Z","title":"Nonlinear measurement function in the ensemble Kalman filter","venue":null,"work_id":"9041a44f-06e5-4389-b1cf-1cdf31979939","year":2014},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.313357Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:6ae69218a72f3e3118fcb179ef04bcc4fa6a8b6891ca48ee2d003bcd558e0106","observation_id":"9ae678d5-2d62-4c3d-a589-585f97b6dc49","resolution":{"observed_at":"2026-08-12T10:57:38.476319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.458460Z","title":"Extended Kalman filter tutorial","venue":null,"work_id":"1662ea65-b280-4692-9059-a416429c8f56","year":2008},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.317836Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:279de30f6bdb056be4ea802da3c525ed01b0bd8486ae114b543193e3228b818e","observation_id":"bcaba4ac-a630-46be-86e6-78e40c64fb3e","resolution":{"observed_at":"2026-08-12T10:57:38.462658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.444910Z","title":"Ensemble square root filters","venue":null,"work_id":"463333d8-82ca-4e38-b8a0-40f37fac41ef","year":2003},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.321553Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:0e02a254917ec398687a7b70028d215fff47f3da03d024bdec9f8a568334ab32","observation_id":"c3a72959-dca0-4bcd-b8c5-b9282917343c","resolution":{"observed_at":"2026-08-12T10:57:38.449683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.422875Z","title":"Nonlinear data assimilation for high- dimensional systems: -with geophysical applications","venue":null,"work_id":"d3ca344c-bd0e-4ef0-b2ab-e2f7b470cd5e","year":2015},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.325995Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:ad9ddc7fdda297c90d5b5026c2cfc674ae930dea326a698c84418d8e9c245b67","observation_id":"ed1a6593-69ed-4976-80ce-704dbfa3ca13","resolution":{"observed_at":"2026-08-12T10:57:38.430013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.407574Z","title":"The unscented Kalman filter for nonlinear estimation","venue":null,"work_id":"b3ffd141-aabb-4c49-9816-a97781aa1259","year":2000},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.330073Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:54d6241032030c1bce011e02702be3806b86dc562d9541ea67039fd0cc57c359","observation_id":"64e8d3d9-e370-44c0-b85a-1bd8f448e392","resolution":{"observed_at":"2026-08-12T10:57:38.412652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:57:38.390770Z","title":"Ensemble data assimilation without perturbed observations","venue":null,"work_id":"d649aa2f-4631-47a4-90b8-414d805d32c2","year":1913},"citing_paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T10:57:38.333926Z"},"links":{"citing_paper":"/paper/2411.18864"},"observation_digest":"sha256:0328e09a46c3b51a7cb27cba56d49ed415bbd6136c56ed18234dbb9cc41ca2bf","observation_id":"510fde54-0c6d-496e-8cb2-aa12f999dfe9","resolution":{"observed_at":"2026-08-12T10:57:38.398171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.18864","last_updated":"2024-11-28T02:11:23Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-16T02:45:59.440879Z","submitted_at":"2024-11-28T02:11:23Z","title":"Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":35},"total_outbound_references":38},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2411.18864."}