{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:HZBYWQJB2WZZDPRWQGY4JVV5YN","short_pith_number":"pith:HZBYWQJB","schema_version":"1.0","canonical_sha256":"3e438b4121d5b391be3681b1c4d6bdc375a8546b4aae9319baa36f48b911c485","source":{"kind":"arxiv","id":"1705.07598","version":1},"attestation_state":"computed","paper":{"title":"Rao-Blackwellized Particle Smoothing as Message Passing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Emilio Sirignano, Francesco Montorsi, Giorgio M. Vitetta","submitted_at":"2017-05-22T08:06:03Z","abstract_excerpt":"In this manuscript the fixed-lag smoothing problem for conditionally linear Gaussian state-space models is investigated from a factor graph perspective. More specifically, after formulating Bayesian smoothing for an arbitrary state-space model as forward-backward message passing over a factor graph, we focus on the above mentioned class of models and derive a novel Rao-Blackwellized particle smoother for it. Then, we show how our technique can be modified to estimate a point mass approximation of the so called joint smoothing distribution. Finally, the estimation accuracy and the computational"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1705.07598","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2017-05-22T08:06:03Z","cross_cats_sorted":[],"title_canon_sha256":"92169117844b8d526736ad0196962368f1f38457d120c5aed60f1d507f4ec34a","abstract_canon_sha256":"3c318d7d5e935cfb75dee83a9d8c5779ef8d0fa3fc6bf8030a2942f06865726c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:05.090663Z","signature_b64":"ICOJNbafBzEMoxw50mdWJdnG2hn0fH/8WJFfllq451jxMZIxFddWcvMNdkOIB0sHeRsLpkOkYTpehPOdLrTtDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e438b4121d5b391be3681b1c4d6bdc375a8546b4aae9319baa36f48b911c485","last_reissued_at":"2026-05-18T00:44:05.090029Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:05.090029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rao-Blackwellized Particle Smoothing as Message Passing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Emilio Sirignano, Francesco Montorsi, Giorgio M. Vitetta","submitted_at":"2017-05-22T08:06:03Z","abstract_excerpt":"In this manuscript the fixed-lag smoothing problem for conditionally linear Gaussian state-space models is investigated from a factor graph perspective. More specifically, after formulating Bayesian smoothing for an arbitrary state-space model as forward-backward message passing over a factor graph, we focus on the above mentioned class of models and derive a novel Rao-Blackwellized particle smoother for it. Then, we show how our technique can be modified to estimate a point mass approximation of the so called joint smoothing distribution. Finally, the estimation accuracy and the computational"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.07598","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1705.07598","created_at":"2026-05-18T00:44:05.090123+00:00"},{"alias_kind":"arxiv_version","alias_value":"1705.07598v1","created_at":"2026-05-18T00:44:05.090123+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.07598","created_at":"2026-05-18T00:44:05.090123+00:00"},{"alias_kind":"pith_short_12","alias_value":"HZBYWQJB2WZZ","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_16","alias_value":"HZBYWQJB2WZZDPRW","created_at":"2026-05-18T12:31:21.493067+00:00"},{"alias_kind":"pith_short_8","alias_value":"HZBYWQJB","created_at":"2026-05-18T12:31:21.493067+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN","json":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN.json","graph_json":"https://pith.science/api/pith-number/HZBYWQJB2WZZDPRWQGY4JVV5YN/graph.json","events_json":"https://pith.science/api/pith-number/HZBYWQJB2WZZDPRWQGY4JVV5YN/events.json","paper":"https://pith.science/paper/HZBYWQJB"},"agent_actions":{"view_html":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN","download_json":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN.json","view_paper":"https://pith.science/paper/HZBYWQJB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1705.07598&json=true","fetch_graph":"https://pith.science/api/pith-number/HZBYWQJB2WZZDPRWQGY4JVV5YN/graph.json","fetch_events":"https://pith.science/api/pith-number/HZBYWQJB2WZZDPRWQGY4JVV5YN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN/action/storage_attestation","attest_author":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN/action/author_attestation","sign_citation":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN/action/citation_signature","submit_replication":"https://pith.science/pith/HZBYWQJB2WZZDPRWQGY4JVV5YN/action/replication_record"}},"created_at":"2026-05-18T00:44:05.090123+00:00","updated_at":"2026-05-18T00:44:05.090123+00:00"}