{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2010:ZVCN5DBWG6PMM65U32P3SCQE4M","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":"6c5a151edd0742f69a871a5adaee3691584f4a6974b9b8363524749e376f3956","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2010-08-17T13:17:24Z","title_canon_sha256":"b4ca7d593feaa19d2d1ca83cec6e8471864eb277ae955ad732a517615cc77f99"},"schema_version":"1.0","source":{"id":"1008.2886","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1008.2886","created_at":"2026-05-18T04:42:04Z"},{"alias_kind":"arxiv_version","alias_value":"1008.2886v1","created_at":"2026-05-18T04:42:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1008.2886","created_at":"2026-05-18T04:42:04Z"},{"alias_kind":"pith_short_12","alias_value":"ZVCN5DBWG6PM","created_at":"2026-05-18T12:26:18Z"},{"alias_kind":"pith_short_16","alias_value":"ZVCN5DBWG6PMM65U","created_at":"2026-05-18T12:26:18Z"},{"alias_kind":"pith_short_8","alias_value":"ZVCN5DBW","created_at":"2026-05-18T12:26:18Z"}],"graph_snapshots":[{"event_id":"sha256:0701b13917c57fdda7cae85f87b15d5b9aea8014f6a439b461a850e9a68bcaec","target":"graph","created_at":"2026-05-18T04:42:04Z","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"},"paper":{"abstract_excerpt":"This paper concerns the use of the expectation-maximisation (EM) algorithm for inference in partially observed diffusion processes. In this context, a well known problem is that all except a few diffusion processes lack closed-form expressions of the transition densities. Thus, in order to estimate efficiently the EM intermediate quantity we construct, using novel techniques for unbiased estimation of diffusion transition densities, a random weight fixed-lag auxiliary particle smoother, which avoids the well known problem of particle trajectory degeneracy in the smoothing mode. The estimator i","authors_text":"Jimmy Olsson, Jonas Str\\\"ojby","cross_cats":["stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2010-08-17T13:17:24Z","title":"Particle-based likelihood inference in partially observed diffusion processes using generalised Poisson estimators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1008.2886","kind":"arxiv","version":1},"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:a761e8751350ca13b8fe18226c1adc7612b30d910d16496d4b1b52b413f65449","target":"record","created_at":"2026-05-18T04:42:04Z","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":"6c5a151edd0742f69a871a5adaee3691584f4a6974b9b8363524749e376f3956","cross_cats_sorted":["stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2010-08-17T13:17:24Z","title_canon_sha256":"b4ca7d593feaa19d2d1ca83cec6e8471864eb277ae955ad732a517615cc77f99"},"schema_version":"1.0","source":{"id":"1008.2886","kind":"arxiv","version":1}},"canonical_sha256":"cd44de8c36379ec67bb4de9fb90a04e3283d8208d1e65fa2b242f0bf3b308b10","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd44de8c36379ec67bb4de9fb90a04e3283d8208d1e65fa2b242f0bf3b308b10","first_computed_at":"2026-05-18T04:42:04.137214Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:42:04.137214Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J+MHuviAyf9MWjW9skyrwnixFLX1LQniF4KLp8qtvKfWpZyeIq38HGUiYjVSdhKAjT2GWyfAgfL9K2pG+oTaDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T04:42:04.137859Z","signed_message":"canonical_sha256_bytes"},"source_id":"1008.2886","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a761e8751350ca13b8fe18226c1adc7612b30d910d16496d4b1b52b413f65449","sha256:0701b13917c57fdda7cae85f87b15d5b9aea8014f6a439b461a850e9a68bcaec"],"state_sha256":"1b666b802d65c1ec0a02a116175f8f79e8e2d7b55af748c13f549b8ba2b8ff27"}