{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UQX3U35YMRXIAIRD4PE625MWA4","short_pith_number":"pith:UQX3U35Y","canonical_record":{"source":{"id":"2410.12289","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T06:47:53Z","cross_cats_sorted":["cs.SY","eess.SP","eess.SY"],"title_canon_sha256":"1e701bf379c45437bb64408f4f2ce6f5967644f47c90dc485eded5975a0d9c66","abstract_canon_sha256":"fbfe034e1f1b2537c7104ff58f54376e14227605e29a4410f998d030a6def9c1"},"schema_version":"1.0"},"canonical_sha256":"a42fba6fb8646e802223e3c9ed75960731d6e5f49d22e174f3a84571d6506420","source":{"kind":"arxiv","id":"2410.12289","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12289","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12289v3","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12289","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"pith_short_12","alias_value":"UQX3U35YMRXI","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"pith_short_16","alias_value":"UQX3U35YMRXIAIRD","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"pith_short_8","alias_value":"UQX3U35Y","created_at":"2026-07-05T10:59:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UQX3U35YMRXIAIRD4PE625MWA4","target":"record","payload":{"canonical_record":{"source":{"id":"2410.12289","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T06:47:53Z","cross_cats_sorted":["cs.SY","eess.SP","eess.SY"],"title_canon_sha256":"1e701bf379c45437bb64408f4f2ce6f5967644f47c90dc485eded5975a0d9c66","abstract_canon_sha256":"fbfe034e1f1b2537c7104ff58f54376e14227605e29a4410f998d030a6def9c1"},"schema_version":"1.0"},"canonical_sha256":"a42fba6fb8646e802223e3c9ed75960731d6e5f49d22e174f3a84571d6506420","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:02.550065Z","signature_b64":"Lg4JDNEmbVFqq/k1vbKPt6dTtmULyi+FwHFIMHe+gY2R7xYC7cRZQ3rUJP2AaHl5x8UxTMsmomN89sSz0sWoCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a42fba6fb8646e802223e3c9ed75960731d6e5f49d22e174f3a84571d6506420","last_reissued_at":"2026-07-05T10:59:02.549528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:02.549528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.12289","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:59:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NhatGZUEHW7kGDuzJ8pooHMn07RhNCxi58PWest38xq4zPFsyBOQQk/SFSoGl58xOUHQQh3EsED+l0JZhxAuBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:28:51.723378Z"},"content_sha256":"947583db2fae0607bd7c412d3eb7b804cac522a9f898f8c642e21f387770c657","schema_version":"1.0","event_id":"sha256:947583db2fae0607bd7c412d3eb7b804cac522a9f898f8c642e21f387770c657"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UQX3U35YMRXIAIRD4PE625MWA4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AI-Aided Kalman Filters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SP","eess.SY"],"primary_cat":"cs.LG","authors_text":"Anubhab Ghosh, Guy Revach, Jindrich Dunik, Nir Shlezinger, Ondrej Straka, Pau Closas, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Yonina C. Eldar","submitted_at":"2024-10-16T06:47:53Z","abstract_excerpt":"The Kalman filter (KF) and its variants are among the most celebrated algorithms in signal processing. These methods are used for state estimation of dynamic systems by relying on mathematical representations in the form of simple state-space (SS) models, which may be crude and inaccurate descriptions of the underlying dynamics. Emerging data-centric artificial intelligence (AI) techniques tackle these tasks using deep neural networks (DNNs), which are model-agnostic. Recent developments illustrate the possibility of fusing DNNs with classic Kalman-type filtering, obtaining systems that learn "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12289","kind":"arxiv","version":3},"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/2410.12289/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":"2026-07-05T10:59:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KQW7H3HkpvrjG+pcOU/PPO9Wb3+aFpOkcnnUmyiqiqXbepKaWmhiUbpCM0mmVvPxNyg10j1Rcz5d0mLdeKg/BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T08:28:51.723875Z"},"content_sha256":"0955bcd5be37c1213efee11f8d349611ef58c03ee93687cbb249f7f916efbce8","schema_version":"1.0","event_id":"sha256:0955bcd5be37c1213efee11f8d349611ef58c03ee93687cbb249f7f916efbce8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UQX3U35YMRXIAIRD4PE625MWA4/bundle.json","state_url":"https://pith.science/pith/UQX3U35YMRXIAIRD4PE625MWA4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UQX3U35YMRXIAIRD4PE625MWA4/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":"2026-08-07T08:28:51Z","links":{"resolver":"https://pith.science/pith/UQX3U35YMRXIAIRD4PE625MWA4","bundle":"https://pith.science/pith/UQX3U35YMRXIAIRD4PE625MWA4/bundle.json","state":"https://pith.science/pith/UQX3U35YMRXIAIRD4PE625MWA4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UQX3U35YMRXIAIRD4PE625MWA4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UQX3U35YMRXIAIRD4PE625MWA4","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":"fbfe034e1f1b2537c7104ff58f54376e14227605e29a4410f998d030a6def9c1","cross_cats_sorted":["cs.SY","eess.SP","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T06:47:53Z","title_canon_sha256":"1e701bf379c45437bb64408f4f2ce6f5967644f47c90dc485eded5975a0d9c66"},"schema_version":"1.0","source":{"id":"2410.12289","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12289","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12289v3","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12289","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"pith_short_12","alias_value":"UQX3U35YMRXI","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"pith_short_16","alias_value":"UQX3U35YMRXIAIRD","created_at":"2026-07-05T10:59:02Z"},{"alias_kind":"pith_short_8","alias_value":"UQX3U35Y","created_at":"2026-07-05T10:59:02Z"}],"graph_snapshots":[{"event_id":"sha256:0955bcd5be37c1213efee11f8d349611ef58c03ee93687cbb249f7f916efbce8","target":"graph","created_at":"2026-07-05T10:59:02Z","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/2410.12289/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Kalman filter (KF) and its variants are among the most celebrated algorithms in signal processing. These methods are used for state estimation of dynamic systems by relying on mathematical representations in the form of simple state-space (SS) models, which may be crude and inaccurate descriptions of the underlying dynamics. Emerging data-centric artificial intelligence (AI) techniques tackle these tasks using deep neural networks (DNNs), which are model-agnostic. Recent developments illustrate the possibility of fusing DNNs with classic Kalman-type filtering, obtaining systems that learn ","authors_text":"Anubhab Ghosh, Guy Revach, Jindrich Dunik, Nir Shlezinger, Ondrej Straka, Pau Closas, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Yonina C. Eldar","cross_cats":["cs.SY","eess.SP","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T06:47:53Z","title":"AI-Aided Kalman Filters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12289","kind":"arxiv","version":3},"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":"sha256:947583db2fae0607bd7c412d3eb7b804cac522a9f898f8c642e21f387770c657","target":"record","created_at":"2026-07-05T10:59:02Z","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":"fbfe034e1f1b2537c7104ff58f54376e14227605e29a4410f998d030a6def9c1","cross_cats_sorted":["cs.SY","eess.SP","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-16T06:47:53Z","title_canon_sha256":"1e701bf379c45437bb64408f4f2ce6f5967644f47c90dc485eded5975a0d9c66"},"schema_version":"1.0","source":{"id":"2410.12289","kind":"arxiv","version":3}},"canonical_sha256":"a42fba6fb8646e802223e3c9ed75960731d6e5f49d22e174f3a84571d6506420","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a42fba6fb8646e802223e3c9ed75960731d6e5f49d22e174f3a84571d6506420","first_computed_at":"2026-07-05T10:59:02.549528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:02.549528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lg4JDNEmbVFqq/k1vbKPt6dTtmULyi+FwHFIMHe+gY2R7xYC7cRZQ3rUJP2AaHl5x8UxTMsmomN89sSz0sWoCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:02.550065Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.12289","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:947583db2fae0607bd7c412d3eb7b804cac522a9f898f8c642e21f387770c657","sha256:0955bcd5be37c1213efee11f8d349611ef58c03ee93687cbb249f7f916efbce8"],"state_sha256":"d7c7d09ed49a0a61206bd50d6043b9b2b167d095053cb3cef28106a81de3c50e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+gh75RN8S93VeHkP5f+xGpST24FEWGwSLnXSIKeUiyr+ajDE+R2o8DFxfE1ihcGX2V3MAbvpwnRzlnBrzwrcBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T08:28:51.727594Z","bundle_sha256":"46c933f9140c9fee7cbd77bcd77d3c4a986bc87c5699f028ef5412b68f1455ec"}}