{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:O2FCMP2UDXRMBRLRI53OAGFB67","short_pith_number":"pith:O2FCMP2U","schema_version":"1.0","canonical_sha256":"768a263f541de2c0c5714776e018a1f7c2438200f3a507f71d8a10fad2db65bc","source":{"kind":"arxiv","id":"1406.3183","version":3},"attestation_state":"computed","paper":{"title":"Approximations of the Optimal Importance Density using Gaussian Particle Flow Importance Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Pete Bunch, Simon Godsill","submitted_at":"2014-06-12T10:19:07Z","abstract_excerpt":"Recently developed particle flow algorithms provide an alternative to importance sampling for drawing particles from a posterior distribution, and a number of particle filters based on this principle have been proposed. Samples are drawn from the prior and then moved according to some dynamics over an interval of pseudo-time such that their final values are distributed according to the desired posterior. In practice, implementing a particle flow sampler requires multiple layers of approximation, with the result that the final samples do not in general have the correct posterior distribution. I"},"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":"1406.3183","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2014-06-12T10:19:07Z","cross_cats_sorted":[],"title_canon_sha256":"b6c22dd8373d06cb4896a60d60ca63ed99a1e80d315a0362bb068c611f75fda8","abstract_canon_sha256":"938961c8175d93d2e76621f78a18a2bd535530e6af738b1542a877e4d7dea4dd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:32:38.647571Z","signature_b64":"JsIjvWyDyQH+b/e2eOv8Ikb1M17axIdVA02VoI8TN+YT/hc8zGZhZOmtR/U4igYlrpxB4QQZDIIWGamCD+OaAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"768a263f541de2c0c5714776e018a1f7c2438200f3a507f71d8a10fad2db65bc","last_reissued_at":"2026-05-18T02:32:38.647099Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:32:38.647099Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Approximations of the Optimal Importance Density using Gaussian Particle Flow Importance Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Pete Bunch, Simon Godsill","submitted_at":"2014-06-12T10:19:07Z","abstract_excerpt":"Recently developed particle flow algorithms provide an alternative to importance sampling for drawing particles from a posterior distribution, and a number of particle filters based on this principle have been proposed. Samples are drawn from the prior and then moved according to some dynamics over an interval of pseudo-time such that their final values are distributed according to the desired posterior. In practice, implementing a particle flow sampler requires multiple layers of approximation, with the result that the final samples do not in general have the correct posterior distribution. I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.3183","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":""},"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":"1406.3183","created_at":"2026-05-18T02:32:38.647169+00:00"},{"alias_kind":"arxiv_version","alias_value":"1406.3183v3","created_at":"2026-05-18T02:32:38.647169+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.3183","created_at":"2026-05-18T02:32:38.647169+00:00"},{"alias_kind":"pith_short_12","alias_value":"O2FCMP2UDXRM","created_at":"2026-05-18T12:28:41.024544+00:00"},{"alias_kind":"pith_short_16","alias_value":"O2FCMP2UDXRMBRLR","created_at":"2026-05-18T12:28:41.024544+00:00"},{"alias_kind":"pith_short_8","alias_value":"O2FCMP2U","created_at":"2026-05-18T12:28:41.024544+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/O2FCMP2UDXRMBRLRI53OAGFB67","json":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67.json","graph_json":"https://pith.science/api/pith-number/O2FCMP2UDXRMBRLRI53OAGFB67/graph.json","events_json":"https://pith.science/api/pith-number/O2FCMP2UDXRMBRLRI53OAGFB67/events.json","paper":"https://pith.science/paper/O2FCMP2U"},"agent_actions":{"view_html":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67","download_json":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67.json","view_paper":"https://pith.science/paper/O2FCMP2U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1406.3183&json=true","fetch_graph":"https://pith.science/api/pith-number/O2FCMP2UDXRMBRLRI53OAGFB67/graph.json","fetch_events":"https://pith.science/api/pith-number/O2FCMP2UDXRMBRLRI53OAGFB67/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67/action/storage_attestation","attest_author":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67/action/author_attestation","sign_citation":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67/action/citation_signature","submit_replication":"https://pith.science/pith/O2FCMP2UDXRMBRLRI53OAGFB67/action/replication_record"}},"created_at":"2026-05-18T02:32:38.647169+00:00","updated_at":"2026-05-18T02:32:38.647169+00:00"}