{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:53B34CB7I6CVXBU2W335NV352L","short_pith_number":"pith:53B34CB7","schema_version":"1.0","canonical_sha256":"eec3be083f47855b869ab6f7d6d77dd2d1de798b4a88757bf6fa6e1725f2ad1a","source":{"kind":"arxiv","id":"1203.2394","version":1},"attestation_state":"computed","paper":{"title":"Decentralized, Adaptive, Look-Ahead Particle Filtering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.CO"],"primary_cat":"stat.ML","authors_text":"Mohamed Osama Ahmed, Nando de Freitas, Pouyan T. Bibalan, Simon Fauvel","submitted_at":"2012-03-12T02:09:32Z","abstract_excerpt":"The decentralized particle filter (DPF) was proposed recently to increase the level of parallelism of particle filtering. Given a decomposition of the state space into two nested sets of variables, the DPF uses a particle filter to sample the first set and then conditions on this sample to generate a set of samples for the second set of variables. The DPF can be understood as a variant of the popular Rao-Blackwellized particle filter (RBPF), where the second step is carried out using Monte Carlo approximations instead of analytical inference. As a result, the range of applications of the DPF 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":"1203.2394","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2012-03-12T02:09:32Z","cross_cats_sorted":["cs.LG","stat.CO"],"title_canon_sha256":"451b77ef3cfd55384f20decb2c3f2ce39708f5288a27608ad51804b7c3f30268","abstract_canon_sha256":"3438c2d4ff47cfb6989c8a243b28e26f341f81a60d2b88ae3e57c5692f9fe98d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:00:25.605417Z","signature_b64":"IL8kS3dvY84z0SQUnVgY1bYErn8G2bllZrAZNasVWrXVD+uke7edKWJLDNdy7fGzbucO0sOKBinQLfh5x1r2CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eec3be083f47855b869ab6f7d6d77dd2d1de798b4a88757bf6fa6e1725f2ad1a","last_reissued_at":"2026-05-18T04:00:25.604616Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:00:25.604616Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Decentralized, Adaptive, Look-Ahead Particle Filtering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.CO"],"primary_cat":"stat.ML","authors_text":"Mohamed Osama Ahmed, Nando de Freitas, Pouyan T. Bibalan, Simon Fauvel","submitted_at":"2012-03-12T02:09:32Z","abstract_excerpt":"The decentralized particle filter (DPF) was proposed recently to increase the level of parallelism of particle filtering. Given a decomposition of the state space into two nested sets of variables, the DPF uses a particle filter to sample the first set and then conditions on this sample to generate a set of samples for the second set of variables. The DPF can be understood as a variant of the popular Rao-Blackwellized particle filter (RBPF), where the second step is carried out using Monte Carlo approximations instead of analytical inference. As a result, the range of applications of the DPF i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.2394","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":"1203.2394","created_at":"2026-05-18T04:00:25.604753+00:00"},{"alias_kind":"arxiv_version","alias_value":"1203.2394v1","created_at":"2026-05-18T04:00:25.604753+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.2394","created_at":"2026-05-18T04:00:25.604753+00:00"},{"alias_kind":"pith_short_12","alias_value":"53B34CB7I6CV","created_at":"2026-05-18T12:26:53.410803+00:00"},{"alias_kind":"pith_short_16","alias_value":"53B34CB7I6CVXBU2","created_at":"2026-05-18T12:26:53.410803+00:00"},{"alias_kind":"pith_short_8","alias_value":"53B34CB7","created_at":"2026-05-18T12:26:53.410803+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/53B34CB7I6CVXBU2W335NV352L","json":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L.json","graph_json":"https://pith.science/api/pith-number/53B34CB7I6CVXBU2W335NV352L/graph.json","events_json":"https://pith.science/api/pith-number/53B34CB7I6CVXBU2W335NV352L/events.json","paper":"https://pith.science/paper/53B34CB7"},"agent_actions":{"view_html":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L","download_json":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L.json","view_paper":"https://pith.science/paper/53B34CB7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1203.2394&json=true","fetch_graph":"https://pith.science/api/pith-number/53B34CB7I6CVXBU2W335NV352L/graph.json","fetch_events":"https://pith.science/api/pith-number/53B34CB7I6CVXBU2W335NV352L/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L/action/timestamp_anchor","attest_storage":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L/action/storage_attestation","attest_author":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L/action/author_attestation","sign_citation":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L/action/citation_signature","submit_replication":"https://pith.science/pith/53B34CB7I6CVXBU2W335NV352L/action/replication_record"}},"created_at":"2026-05-18T04:00:25.604753+00:00","updated_at":"2026-05-18T04:00:25.604753+00:00"}