{"as_of":"2026-08-10T18:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:20257f180ed6805e68da5414047602b2bf7ad88c9827904c3cb45390654184f1","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T20:21:55.684746Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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":"2026-07-13T20:27:45.196743Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-03T13:58:21.403149Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.23461","snapshot_observed_at":"2026-07-13T20:27:45.196743Z","title":"Zhou et al.,Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks, arXiv:2602.23461 [physics], Feb","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2603.22050","last_updated":"2026-06-24T13:15:28Z","snapshot_observed_at":"2026-08-08T12:54:20.093424Z","submitted_at":"2026-03-23T14:49:38Z","title":"Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data","version":2},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-07-13T20:27:45.196743Z"},"links":{"cited_paper":"/paper/2602.23461","citing_paper":"/paper/2603.22050"},"observation_digest":"sha256:2d3890d3e97375bf68dacf9acf34549a223919c4eb90f1bc7b9cdae9da9e2e88","observation_id":"dc757e8a-abb8-4b4e-85a0-e40beda726d2","resolution":{"observed_at":"2026-07-13T20:27:45.196743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"cited_work":{"arxiv_id":"2602.23461","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.23461","snapshot_observed_at":"2026-07-03T13:58:21.403149Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","venue":"physics.flu-dyn","work_id":"76e8cbda-21a3-4478-9244-c573d51ed92a","year":2026},"citing_paper":{"arxiv_id":"2604.26896","last_updated":"2026-04-29T17:04:44Z","snapshot_observed_at":"2026-07-06T23:12:29.385105Z","submitted_at":"2026-04-29T17:04:44Z","title":"Data assimilation for slightly compressible flow","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-07T11:23:18.736045Z"},"links":{"cited_paper":"/paper/2602.23461","citing_paper":"/paper/2604.26896"},"observation_digest":"sha256:69b406da486a6ebca10d5a8a802baeb971a70c1c9361a76ed2066736718615dc","observation_id":"a983cde6-1556-4be6-bad7-04832630a8b1","resolution":{"observed_at":"2026-06-11T02:09:28.458170Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"cited_work":{"arxiv_id":"2602.23461","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.23461","snapshot_observed_at":"2026-07-03T13:58:21.403149Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","venue":"physics.flu-dyn","work_id":"76e8cbda-21a3-4478-9244-c573d51ed92a","year":2026},"citing_paper":{"arxiv_id":"2606.12559","last_updated":"2026-06-10T18:09:16Z","snapshot_observed_at":"2026-08-05T10:01:00.435163Z","submitted_at":"2026-06-10T18:09:16Z","title":"Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T07:26:13.956637Z"},"links":{"cited_paper":"/paper/2602.23461","citing_paper":"/paper/2606.12559"},"observation_digest":"sha256:001446d019ee9a5e07bc8ef12b463d6f8651b1c2a2a7bdb1eb64fcd17b419b91","observation_id":"9606aae1-4c42-4d8d-bf99-5d40dd5a541b","resolution":{"observed_at":"2026-07-03T13:58:21.404449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2602.23461/citation-record","integrity":"/paper/2602.23461/integrity","json":"/paper/2602.23461/citation-record.json","paper":"/paper/2602.23461"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:50.744749Z","title":"Raman, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:50.744749Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:3f230e822de135261348b80144ae2e6d21f241b4d69adf60992b0e5db9c4eaf4","observation_id":"9b87c4fe-bb48-4947-9771-ad985dec85da","resolution":{"observed_at":"2026-08-02T20:21:50.744749Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:50.884754Z","title":null,"venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:50.884754Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:aeee301d7b885d2279d87cf7cbace00326acd30de713e60747c3a3275953abfe","observation_id":"338b8d21-9b19-4440-923e-dad2c5c69d39","resolution":{"observed_at":"2026-08-02T20:21:50.884754Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:50.943454Z","title":"Schuabb, L","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:50.943454Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:4d18a1b8c65b348efd77f618b00dab04f18fc4974613819e7fc309768ab7a4b0","observation_id":"7ab2d1c4-fefb-4f08-9ddc-4b0cb0d443ad","resolution":{"observed_at":"2026-08-02T20:21:50.943454Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.062574Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.062574Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:ee175eb4baedb3fedbd35fe2fbda2c76e780e2306032a295c113f519458705f6","observation_id":"13cd655e-b588-45eb-9288-651ed28958fe","resolution":{"observed_at":"2026-08-02T20:21:51.062574Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.162168Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.162168Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:e0dadd4c800c7d5599afa60ec18089367ac5ff7de5eb269903f8fea78e61ae61","observation_id":"0f05ff47-2bf4-42fd-9273-1dc7b4eb1d8f","resolution":{"observed_at":"2026-08-02T20:21:51.162168Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.244756Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.244756Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:450237de14c5d4faea0766f510e30c49f29829260dd408477fb3250a9141bb18","observation_id":"d71f5f08-c5f3-4e5c-a358-fed594e87235","resolution":{"observed_at":"2026-08-02T20:21:51.244756Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.354752Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.354752Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:5267286faee65ab7b250780011349f5465c395395e059c51b41b8528ddc0e42b","observation_id":"5bc60421-5552-40cc-8d37-7a6c870847db","resolution":{"observed_at":"2026-08-02T20:21:51.354752Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.514942Z","title":"Narkhede, S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.514942Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:8865439ba6c68e1032762c54cbd5fcea6ac7f2e94f2d1e8967aa1713e7104fac","observation_id":"159a5274-95a5-4a6e-aaaf-be5127176502","resolution":{"observed_at":"2026-08-02T20:21:51.514942Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.591913Z","title":"Evensen, Data assimilation: the ensemble Kalman filter, Springer, 2009","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.591913Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:b6232c6c3c317c06964592d3ec29eacceb79ca1049495ffd15ca21e354c5b21f","observation_id":"d35bb361-9193-4597-aef2-b0a804e4a409","resolution":{"observed_at":"2026-08-02T20:21:51.591913Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.694746Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.694746Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:21545a014c618c3d412864952a2da6e9f86fe3cf9f916e86872cc77dd58e149b","observation_id":"d17e2d6f-13e2-495e-b96f-1cccd377f4b7","resolution":{"observed_at":"2026-08-02T20:21:51.694746Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.794757Z","title":"Evensen, F","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.794757Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:767e540d124f63245eea2e95ec48d4249324c2d0069cd5488cc0c54921892327","observation_id":"d51a4921-172d-42a4-a6de-0d697db79b28","resolution":{"observed_at":"2026-08-02T20:21:51.794757Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:51.902312Z","title":"Kalnay, Atmospheric modeling, data assimilation and predictability, Cambridge uni- versity press, 2003","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:51.902312Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:448248531edac8a08592983a2194306ed5d44ff3499b53c63e56b1221adca690","observation_id":"55215ba3-cd24-487e-b19a-67e62f5d5d43","resolution":{"observed_at":"2026-08-02T20:21:51.902312Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:52.025935Z","title":"Carrassi, M","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:52.025935Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:6eca443f6548fbb09f4886d291990090bd2ecf0c46fa9542a1747ee35f7ac699","observation_id":"5a2809af-9264-45ed-b44a-08089b86997c","resolution":{"observed_at":"2026-08-02T20:21:52.025935Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:52.119177Z","title":"Zhang, H","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:52.119177Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:fde72ed7b354136aeba4b75a8a29278a9e6bab9e5c0b6f9cd811544666913051","observation_id":"03eac1ae-74bf-47ab-a13b-4b4dd658aee4","resolution":{"observed_at":"2026-08-02T20:21:52.119177Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:52.204754Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:52.204754Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:8948755448212699b6a267d670816f45d2e91815c229c7df487a30e76364841d","observation_id":"ff3ba77a-ed49-44cc-912f-ce98a9201e3a","resolution":{"observed_at":"2026-08-02T20:21:52.204754Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:52.326547Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:52.326547Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:9a5768959c20a743a9080498f23f263ea7394313dfdeae153be5a01b199107b6","observation_id":"b5cda285-84a2-48bb-8f67-cfbf079bbb5d","resolution":{"observed_at":"2026-08-02T20:21:52.326547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.17189","last_updated":"2026-05-15T16:01:36Z","snapshot_observed_at":"2026-08-02T22:42:57.116745Z","submitted_at":"2025-09-21T18:31:20Z","title":"Toward a unified data-driven turbulence model through multi-objective learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.17189","snapshot_observed_at":"2026-08-02T20:21:52.464730Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:52.464730Z"},"links":{"cited_paper":"/paper/2509.17189","citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:84f11b0a5bbf46c5d845db3afe7a43bb6f5596794087708f38c4e8911db7bd96","observation_id":"bff6fa16-933f-43b2-b9a3-db58359112dc","resolution":{"observed_at":"2026-08-02T20:21:52.464730Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:52.774744Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:52.774744Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:c148fa6e0172ce74c6e09a362d3afd774e75f79260312289b8fbd29ec54f5dd6","observation_id":"055d2603-cd27-42eb-944a-48594cfffb04","resolution":{"observed_at":"2026-08-02T20:21:52.774744Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.069841Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.069841Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:5174ae7f0cba637f1251194f66ddbab9c18163c52dcbec9becf6e22e9168dc39","observation_id":"8f3db23f-ce51-475f-835a-3cc77da7d0d2","resolution":{"observed_at":"2026-08-02T20:21:53.069841Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.176257Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.176257Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:b295f5dc67dea5d9369eb81aa4cda7d7d5e0b5abfd059d411495311f14b3372e","observation_id":"ba6d0f99-9f51-4052-adde-f91596895ebe","resolution":{"observed_at":"2026-08-02T20:21:53.176257Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.344375Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.344375Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:9bbd99d1046cde018aa89403cd449f1e0875dec1bce78d5c9cd460f87c2c146c","observation_id":"fa45ac13-0c52-4862-be87-91b7c7498e1a","resolution":{"observed_at":"2026-08-02T20:21:53.344375Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.444746Z","title":"Morra, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.444746Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:d7e83fbd1dfbb74291828133529a4870c85b4d5f57ac56ac0e9d56890fc424cc","observation_id":"3cbd791e-1893-4b98-afe4-4db96e242f53","resolution":{"observed_at":"2026-08-02T20:21:53.444746Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.574868Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.574868Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:98bdef3d78360259dabc2d9f5720296338b258c3427dcb919cef616307c24b2f","observation_id":"47bb7c66-abe2-4041-9791-642ec51f44a1","resolution":{"observed_at":"2026-08-02T20:21:53.574868Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.734733Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.734733Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:6d5bed0eb75b57d3367ffb94bdb8d0ce6ab5f2e193dad51afc5baf11517af287","observation_id":"9d0fdf62-db88-49ef-b42a-4349f89ca3f9","resolution":{"observed_at":"2026-08-02T20:21:53.734733Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.873865Z","title":"Houba, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.873865Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:610b7dfff2b7719ac895694035cf1a292d1ac8ebdcdbdbb9bb09cdd60c95de75","observation_id":"d7cc9b14-e3f6-4d46-87b4-a085d5937514","resolution":{"observed_at":"2026-08-02T20:21:53.873865Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:53.942357Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:53.942357Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:69c5ed5696d5edc17a71630c341d9a7517b539551b3b0636b9126083e0bd92e8","observation_id":"ef16f356-ad99-41ae-ab9a-a8fa5948b6d5","resolution":{"observed_at":"2026-08-02T20:21:53.942357Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.068670Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.068670Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:388d7a493a9e155a0ab84c00eb5d2b1afa102104798a3e700b61c49a71c84298","observation_id":"7dffdf89-f969-4a9b-a585-e1f04f3a804d","resolution":{"observed_at":"2026-08-02T20:21:54.068670Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.165737Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.165737Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:ff466177dc07259bf9e40638c647c6c3e8ba139674b6fa9529553435df431fa1","observation_id":"a9eda9bc-e2e2-4ba3-b3dd-38acfefcddd9","resolution":{"observed_at":"2026-08-02T20:21:54.165737Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.319753Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.319753Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:b1fe11cf89c51c8c98aad444ae1b5a84ed1894798dec85b2f3299e579864bff9","observation_id":"08cdfc75-b864-44eb-810d-e49c35092cec","resolution":{"observed_at":"2026-08-02T20:21:54.319753Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.404747Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.404747Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:a80b0b1ae1d055f762cd274bed02ee64f25d5a5c9fa5f5c152887ea713ff61b1","observation_id":"f7eb6eda-38ef-43c1-888d-2af6c425b16e","resolution":{"observed_at":"2026-08-02T20:21:54.404747Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.511220Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.511220Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:1dd2ffd72d2b33741ade9e67b1be7c6f91afd396ce5a9f078ae1041bc69cfe8f","observation_id":"deba337a-2052-4052-85bd-3d02c290d070","resolution":{"observed_at":"2026-08-02T20:21:54.511220Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.687722Z","title":"Srivastava, W","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.687722Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:5525c491b38dbe8b3156df34dfeeefa527caaf11b3bc6a8536c9723f997de574","observation_id":"1670d14b-20bf-43fd-8607-22d1c83464dc","resolution":{"observed_at":"2026-08-02T20:21:54.687722Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.724360Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.724360Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:0e23e69f6fdae1131653f4e2199d77d7a67ad9d61d2b93b43b5439d760880338","observation_id":"f0df6b34-2654-42d4-80ed-b6cc07276d8a","resolution":{"observed_at":"2026-08-02T20:21:54.724360Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:54.834735Z","title":"Morzfeld, D","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:54.834735Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:31ecc3c11b46122ceaa826a84fdd2763b7049b5c8c3cef4f2b38633c67c49e41","observation_id":"1d0ec54c-b6ac-45b0-868a-f5cd3368706c","resolution":{"observed_at":"2026-08-02T20:21:54.834735Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:55.022714Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:55.022714Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:6b4d3479f818bc48b2f64fbeb92e18eabd84eb44046eef2155cafb0524de7324","observation_id":"9719d3f8-7175-432d-8820-e2632e0dfe93","resolution":{"observed_at":"2026-08-02T20:21:55.022714Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:55.097662Z","title":null,"venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:55.097662Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:58a3364bd83d22d1d8a8f513be67f36128d2dd90a6300301efe4aad57c73828f","observation_id":"a990bbc1-26ec-4ca5-bfef-c2756a138b36","resolution":{"observed_at":"2026-08-02T20:21:55.097662Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:55.175455Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:55.175455Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:b8962cce9bc4a83d672bc92a6cebacf43fdd0c2aaf77d1e6480a97cfe654b812","observation_id":"6c81b844-d26b-4c99-8b10-a600eac22497","resolution":{"observed_at":"2026-08-02T20:21:55.175455Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:55.264740Z","title":"Wang, M2C: Multiphysics Modeling and Computation,https://github.com/ kevinwgy/m2c, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:55.264740Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:34dca478d28e8077701805ab9fc1619c2d600cb8dcc362c11c4e27f7360d4107","observation_id":"9fa37070-9d1d-4213-9f8a-b1b3824fa8df","resolution":{"observed_at":"2026-08-02T20:21:55.264740Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:55.406832Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:55.406832Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:12540af0c92d8d9f60423032d4a1f0617df6cedb8cf279a262106a776030db9a","observation_id":"35634f88-339d-43d2-a6c2-e476793ea62d","resolution":{"observed_at":"2026-08-02T20:21:55.406832Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:55.534754Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:55.534754Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:defba31fb181755ebad61ad6a1693b8ea5233f93cd0231eacb2f170dcf36d1b4","observation_id":"29204fcc-6de2-4f1a-b4d9-4717e9d0a1e4","resolution":{"observed_at":"2026-08-02T20:21:55.534754Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T20:21:55.684746Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T20:21:55.684746Z"},"links":{"citing_paper":"/paper/2602.23461"},"observation_digest":"sha256:ce297b28ee73be7f51261f6704a84ce9cc071288d06d05ae1013eed4a5daf623","observation_id":"358cbaac-5381-4177-9fa1-964fc9fc3e0e","resolution":{"observed_at":"2026-08-02T20:21:55.684746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.23461","last_updated":"2026-06-10T13:53:49Z","latest_version":2,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-05T10:03:54.322522Z","submitted_at":"2026-02-26T19:35:52Z","title":"Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":41},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2602.23461."}