{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5HFEAOENZQH2PWF5S25TPPGGFJ","short_pith_number":"pith:5HFEAOEN","canonical_record":{"source":{"id":"2308.08751","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-08-17T03:01:54Z","cross_cats_sorted":["cs.NA","cs.SY","math.NA","math.ST","stat.TH"],"title_canon_sha256":"322d800ca9f2785c82e6f6723950a348469e2f4b3caf902f21bf9d4fe6a7c915","abstract_canon_sha256":"6086aea7e9cbdfd3efce68ce14a5cf3f4d35bb8c2672b20e2f04a8758efbf172"},"schema_version":"1.0"},"canonical_sha256":"e9ca40388dcc0fa7d8bd96bb37bcc62a43c1d7d9fca2c41bdb5be4f048aeee49","source":{"kind":"arxiv","id":"2308.08751","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.08751","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"arxiv_version","alias_value":"2308.08751v2","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.08751","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"pith_short_12","alias_value":"5HFEAOENZQH2","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"pith_short_16","alias_value":"5HFEAOENZQH2PWF5","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"pith_short_8","alias_value":"5HFEAOEN","created_at":"2026-07-05T08:48:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5HFEAOENZQH2PWF5S25TPPGGFJ","target":"record","payload":{"canonical_record":{"source":{"id":"2308.08751","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-08-17T03:01:54Z","cross_cats_sorted":["cs.NA","cs.SY","math.NA","math.ST","stat.TH"],"title_canon_sha256":"322d800ca9f2785c82e6f6723950a348469e2f4b3caf902f21bf9d4fe6a7c915","abstract_canon_sha256":"6086aea7e9cbdfd3efce68ce14a5cf3f4d35bb8c2672b20e2f04a8758efbf172"},"schema_version":"1.0"},"canonical_sha256":"e9ca40388dcc0fa7d8bd96bb37bcc62a43c1d7d9fca2c41bdb5be4f048aeee49","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:48:58.181604Z","signature_b64":"t7Rksw6rN8IEDrYT2OBeHaHMwyo8bRTHeBBoALAlF80TnlLaTFpWqTy3x6FNTJwXq4WFdp1ZTzoU71L6n+GwBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9ca40388dcc0fa7d8bd96bb37bcc62a43c1d7d9fca2c41bdb5be4f048aeee49","last_reissued_at":"2026-07-05T08:48:58.181104Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:48:58.181104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.08751","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:48:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tth2ocNEzw3S+dQRWSrvesqrBBNh6GCxwwdJkpgxrMNGozGvZ0fJ5xo2v2i+unRAMn7LCtNWPoRqp+blHJnnAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:23:42.463426Z"},"content_sha256":"e7cab0cb231c440cf40b576d86693a9f67669c21d301251f14ccaa7a3a92957b","schema_version":"1.0","event_id":"sha256:e7cab0cb231c440cf40b576d86693a9f67669c21d301251f14ccaa7a3a92957b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5HFEAOENZQH2PWF5S25TPPGGFJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Ensemble Kalman Filters with Resampling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.NA","cs.SY","math.NA","math.ST","stat.TH"],"primary_cat":"eess.SY","authors_text":"Daniel Sanz-Alonso, Jiajun Bao, Omar Al Ghattas","submitted_at":"2023-08-17T03:01:54Z","abstract_excerpt":"Filtering is concerned with online estimation of the state of a dynamical system from partial and noisy observations. In applications where the state of the system is high dimensional, ensemble Kalman filters are often the method of choice. These algorithms rely on an ensemble of interacting particles to sequentially estimate the state as new observations become available. Despite the practical success of ensemble Kalman filters, theoretical understanding is hindered by the intricate dependence structure of the interacting particles. This paper investigates ensemble Kalman filters that incorpo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.08751","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.08751/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:48:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"utKjlmhOHGaXla0p8fLzm39UTrZKqrUWJ0X+ybNzs9G6XAOZuNYXljxj5UxB97YjkTc9t5d5DkqGvP8dhnQIBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:23:42.463722Z"},"content_sha256":"40713294f4b41cfcd6116d7285c8405f654093987626a35d3b94035000aa1653","schema_version":"1.0","event_id":"sha256:40713294f4b41cfcd6116d7285c8405f654093987626a35d3b94035000aa1653"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5HFEAOENZQH2PWF5S25TPPGGFJ/bundle.json","state_url":"https://pith.science/pith/5HFEAOENZQH2PWF5S25TPPGGFJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5HFEAOENZQH2PWF5S25TPPGGFJ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T14:23:42Z","links":{"resolver":"https://pith.science/pith/5HFEAOENZQH2PWF5S25TPPGGFJ","bundle":"https://pith.science/pith/5HFEAOENZQH2PWF5S25TPPGGFJ/bundle.json","state":"https://pith.science/pith/5HFEAOENZQH2PWF5S25TPPGGFJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5HFEAOENZQH2PWF5S25TPPGGFJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5HFEAOENZQH2PWF5S25TPPGGFJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"6086aea7e9cbdfd3efce68ce14a5cf3f4d35bb8c2672b20e2f04a8758efbf172","cross_cats_sorted":["cs.NA","cs.SY","math.NA","math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-08-17T03:01:54Z","title_canon_sha256":"322d800ca9f2785c82e6f6723950a348469e2f4b3caf902f21bf9d4fe6a7c915"},"schema_version":"1.0","source":{"id":"2308.08751","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.08751","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"arxiv_version","alias_value":"2308.08751v2","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.08751","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"pith_short_12","alias_value":"5HFEAOENZQH2","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"pith_short_16","alias_value":"5HFEAOENZQH2PWF5","created_at":"2026-07-05T08:48:58Z"},{"alias_kind":"pith_short_8","alias_value":"5HFEAOEN","created_at":"2026-07-05T08:48:58Z"}],"graph_snapshots":[{"event_id":"sha256:40713294f4b41cfcd6116d7285c8405f654093987626a35d3b94035000aa1653","target":"graph","created_at":"2026-07-05T08:48:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2308.08751/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Filtering is concerned with online estimation of the state of a dynamical system from partial and noisy observations. In applications where the state of the system is high dimensional, ensemble Kalman filters are often the method of choice. These algorithms rely on an ensemble of interacting particles to sequentially estimate the state as new observations become available. Despite the practical success of ensemble Kalman filters, theoretical understanding is hindered by the intricate dependence structure of the interacting particles. This paper investigates ensemble Kalman filters that incorpo","authors_text":"Daniel Sanz-Alonso, Jiajun Bao, Omar Al Ghattas","cross_cats":["cs.NA","cs.SY","math.NA","math.ST","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-08-17T03:01:54Z","title":"Ensemble Kalman Filters with Resampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.08751","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e7cab0cb231c440cf40b576d86693a9f67669c21d301251f14ccaa7a3a92957b","target":"record","created_at":"2026-07-05T08:48:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"6086aea7e9cbdfd3efce68ce14a5cf3f4d35bb8c2672b20e2f04a8758efbf172","cross_cats_sorted":["cs.NA","cs.SY","math.NA","math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2023-08-17T03:01:54Z","title_canon_sha256":"322d800ca9f2785c82e6f6723950a348469e2f4b3caf902f21bf9d4fe6a7c915"},"schema_version":"1.0","source":{"id":"2308.08751","kind":"arxiv","version":2}},"canonical_sha256":"e9ca40388dcc0fa7d8bd96bb37bcc62a43c1d7d9fca2c41bdb5be4f048aeee49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9ca40388dcc0fa7d8bd96bb37bcc62a43c1d7d9fca2c41bdb5be4f048aeee49","first_computed_at":"2026-07-05T08:48:58.181104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:48:58.181104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t7Rksw6rN8IEDrYT2OBeHaHMwyo8bRTHeBBoALAlF80TnlLaTFpWqTy3x6FNTJwXq4WFdp1ZTzoU71L6n+GwBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:48:58.181604Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.08751","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7cab0cb231c440cf40b576d86693a9f67669c21d301251f14ccaa7a3a92957b","sha256:40713294f4b41cfcd6116d7285c8405f654093987626a35d3b94035000aa1653"],"state_sha256":"60824474bf70ae984fe1cb00fed65bbbc7a71e854112088c5b01021a3e96c23e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J+NG2TovZQG3HEEiZHEwjx2hs3lORcHX9c14GKwD/En+IR4e/y5SPav5XapUYxbDL1qOBWLtOUAPD1bJcTu3Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T14:23:42.466549Z","bundle_sha256":"386dfed47a979ba81bdfa8ec66281b7b5186c85414ed1929a94de001e778a216"}}