{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:T4UVRFHFPP24DJDDQIO33ETYVY","short_pith_number":"pith:T4UVRFHF","schema_version":"1.0","canonical_sha256":"9f295894e57bf5c1a463821dbd9278ae3f52340dfd388a8ecac31acd89a7819a","source":{"kind":"arxiv","id":"1504.01079","version":2},"attestation_state":"computed","paper":{"title":"A proof of uniform convergence over time for a distributed particle filter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Joaquin Miguez, Manuel A. Vazquez","submitted_at":"2015-04-05T03:48:17Z","abstract_excerpt":"Distributed signal processing algorithms have become a hot topic during the past years. One class of algorithms that have received special attention are particles filters (PFs). However, most distributed PFs involve various heuristic or simplifying approximations and, as a consequence, classical convergence theorems for standard PFs do not hold for their distributed counterparts. In this paper, we analyze a distributed PF based on the non-proportional weight-allocation scheme of Bolic {\\em et al} (2005) and prove rigorously that, under certain stability assumptions, its asymptotic convergence "},"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":"1504.01079","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-04-05T03:48:17Z","cross_cats_sorted":[],"title_canon_sha256":"c5d2589e71c6f8dee2e912f5481093e5444f9881ed92210d6a14f9e286cf98cf","abstract_canon_sha256":"9969ea67fa1c60aec31afe9c9e418fc6bf07a237864a9852455c0277d7a102ab"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:13:05.127239Z","signature_b64":"b2pmeT6b1M2NiTFZnJ7+7Y8H0LTS9cxTC7FxkLJc8FDAisfXMieqza9BAoKRB4y4lePI8AZaV0LSnjI/sS4YAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f295894e57bf5c1a463821dbd9278ae3f52340dfd388a8ecac31acd89a7819a","last_reissued_at":"2026-05-18T01:13:05.126905Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:13:05.126905Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A proof of uniform convergence over time for a distributed particle filter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Joaquin Miguez, Manuel A. Vazquez","submitted_at":"2015-04-05T03:48:17Z","abstract_excerpt":"Distributed signal processing algorithms have become a hot topic during the past years. One class of algorithms that have received special attention are particles filters (PFs). However, most distributed PFs involve various heuristic or simplifying approximations and, as a consequence, classical convergence theorems for standard PFs do not hold for their distributed counterparts. In this paper, we analyze a distributed PF based on the non-proportional weight-allocation scheme of Bolic {\\em et al} (2005) and prove rigorously that, under certain stability assumptions, its asymptotic convergence "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.01079","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":""},"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":"1504.01079","created_at":"2026-05-18T01:13:05.126960+00:00"},{"alias_kind":"arxiv_version","alias_value":"1504.01079v2","created_at":"2026-05-18T01:13:05.126960+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.01079","created_at":"2026-05-18T01:13:05.126960+00:00"},{"alias_kind":"pith_short_12","alias_value":"T4UVRFHFPP24","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_16","alias_value":"T4UVRFHFPP24DJDD","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_8","alias_value":"T4UVRFHF","created_at":"2026-05-18T12:29:42.218222+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/T4UVRFHFPP24DJDDQIO33ETYVY","json":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY.json","graph_json":"https://pith.science/api/pith-number/T4UVRFHFPP24DJDDQIO33ETYVY/graph.json","events_json":"https://pith.science/api/pith-number/T4UVRFHFPP24DJDDQIO33ETYVY/events.json","paper":"https://pith.science/paper/T4UVRFHF"},"agent_actions":{"view_html":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY","download_json":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY.json","view_paper":"https://pith.science/paper/T4UVRFHF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1504.01079&json=true","fetch_graph":"https://pith.science/api/pith-number/T4UVRFHFPP24DJDDQIO33ETYVY/graph.json","fetch_events":"https://pith.science/api/pith-number/T4UVRFHFPP24DJDDQIO33ETYVY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY/action/storage_attestation","attest_author":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY/action/author_attestation","sign_citation":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY/action/citation_signature","submit_replication":"https://pith.science/pith/T4UVRFHFPP24DJDDQIO33ETYVY/action/replication_record"}},"created_at":"2026-05-18T01:13:05.126960+00:00","updated_at":"2026-05-18T01:13:05.126960+00:00"}