{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:LRUWHL3FZIYK2MJCVFXEDRVZN6","short_pith_number":"pith:LRUWHL3F","canonical_record":{"source":{"id":"1603.08988","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-03-29T22:41:17Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"4972c05ee6173a51c5068d8849c781e4657b2453d0228ed64a97e3b6aaf2bc7b","abstract_canon_sha256":"be0966ef06c4ebaa84cc8c530de7edfa0544a2b2f1a3298b63726622740eabc3"},"schema_version":"1.0"},"canonical_sha256":"5c6963af65ca30ad3122a96e41c6b96fbceb5b65cfb94a3403a9d46f6b1657a8","source":{"kind":"arxiv","id":"1603.08988","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.08988","created_at":"2026-05-18T01:18:04Z"},{"alias_kind":"arxiv_version","alias_value":"1603.08988v1","created_at":"2026-05-18T01:18:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.08988","created_at":"2026-05-18T01:18:04Z"},{"alias_kind":"pith_short_12","alias_value":"LRUWHL3FZIYK","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"LRUWHL3FZIYK2MJC","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"LRUWHL3F","created_at":"2026-05-18T12:30:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:LRUWHL3FZIYK2MJCVFXEDRVZN6","target":"record","payload":{"canonical_record":{"source":{"id":"1603.08988","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-03-29T22:41:17Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"4972c05ee6173a51c5068d8849c781e4657b2453d0228ed64a97e3b6aaf2bc7b","abstract_canon_sha256":"be0966ef06c4ebaa84cc8c530de7edfa0544a2b2f1a3298b63726622740eabc3"},"schema_version":"1.0"},"canonical_sha256":"5c6963af65ca30ad3122a96e41c6b96fbceb5b65cfb94a3403a9d46f6b1657a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:04.106176Z","signature_b64":"A9GqqasXY9wEHyLKDIqdF7rKEjTWXyn+/y159c2abOa2G65swv8jGV5Zheh0X5cDKKYSJiVZbdq4H1B6r8sTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c6963af65ca30ad3122a96e41c6b96fbceb5b65cfb94a3403a9d46f6b1657a8","last_reissued_at":"2026-05-18T01:18:04.105492Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:04.105492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.08988","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:18:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/E1s9zRzwaqcXStwGbZiMUTNiD7wBH2+xCTCBrqD1nfhbqiw2vO3WTsSegHGNjEY5F7b063wfSOz/oaTQnqBDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T09:33:22.753032Z"},"content_sha256":"ab253139d05a2ccaff71112c02f5e922b2791d86ca2feff740a7525330ed15e8","schema_version":"1.0","event_id":"sha256:ab253139d05a2ccaff71112c02f5e922b2791d86ca2feff740a7525330ed15e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:LRUWHL3FZIYK2MJCVFXEDRVZN6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Practical Bayesian Parameter and State Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.AI","authors_text":"Lei Li, Stuart Russell, Yi Wu, Yusuf Bugra Erol","submitted_at":"2016-03-29T22:41:17Z","abstract_excerpt":"Joint state and parameter estimation is a core problem for dynamic Bayesian networks. Although modern probabilistic inference toolkits make it relatively easy to specify large and practically relevant probabilistic models, the silver bullet---an efficient and general online inference algorithm for such problems---remains elusive, forcing users to write special-purpose code for each application. We propose a novel blackbox algorithm -- a hybrid of particle filtering for state variables and assumed density filtering for parameter variables. It has following advantages: (a) it is efficient due to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.08988","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:18:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1TJFX3puQEvqqF0L8GBL64deyyks7vioJe0YcVdIac7wH+dyPjgBeiHUYtP/y9chUymV/DUo3wGrOTFtz/u7Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T09:33:22.753396Z"},"content_sha256":"a3da2995c7ffcd95e4604ff8c92669584622952898a142230f82e4679c479b40","schema_version":"1.0","event_id":"sha256:a3da2995c7ffcd95e4604ff8c92669584622952898a142230f82e4679c479b40"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LRUWHL3FZIYK2MJCVFXEDRVZN6/bundle.json","state_url":"https://pith.science/pith/LRUWHL3FZIYK2MJCVFXEDRVZN6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LRUWHL3FZIYK2MJCVFXEDRVZN6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-08T09:33:22Z","links":{"resolver":"https://pith.science/pith/LRUWHL3FZIYK2MJCVFXEDRVZN6","bundle":"https://pith.science/pith/LRUWHL3FZIYK2MJCVFXEDRVZN6/bundle.json","state":"https://pith.science/pith/LRUWHL3FZIYK2MJCVFXEDRVZN6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LRUWHL3FZIYK2MJCVFXEDRVZN6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:LRUWHL3FZIYK2MJCVFXEDRVZN6","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":"be0966ef06c4ebaa84cc8c530de7edfa0544a2b2f1a3298b63726622740eabc3","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-03-29T22:41:17Z","title_canon_sha256":"4972c05ee6173a51c5068d8849c781e4657b2453d0228ed64a97e3b6aaf2bc7b"},"schema_version":"1.0","source":{"id":"1603.08988","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.08988","created_at":"2026-05-18T01:18:04Z"},{"alias_kind":"arxiv_version","alias_value":"1603.08988v1","created_at":"2026-05-18T01:18:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.08988","created_at":"2026-05-18T01:18:04Z"},{"alias_kind":"pith_short_12","alias_value":"LRUWHL3FZIYK","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_16","alias_value":"LRUWHL3FZIYK2MJC","created_at":"2026-05-18T12:30:29Z"},{"alias_kind":"pith_short_8","alias_value":"LRUWHL3F","created_at":"2026-05-18T12:30:29Z"}],"graph_snapshots":[{"event_id":"sha256:a3da2995c7ffcd95e4604ff8c92669584622952898a142230f82e4679c479b40","target":"graph","created_at":"2026-05-18T01:18:04Z","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":"Joint state and parameter estimation is a core problem for dynamic Bayesian networks. Although modern probabilistic inference toolkits make it relatively easy to specify large and practically relevant probabilistic models, the silver bullet---an efficient and general online inference algorithm for such problems---remains elusive, forcing users to write special-purpose code for each application. We propose a novel blackbox algorithm -- a hybrid of particle filtering for state variables and assumed density filtering for parameter variables. It has following advantages: (a) it is efficient due to","authors_text":"Lei Li, Stuart Russell, Yi Wu, Yusuf Bugra Erol","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-03-29T22:41:17Z","title":"Towards Practical Bayesian Parameter and State Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.08988","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:ab253139d05a2ccaff71112c02f5e922b2791d86ca2feff740a7525330ed15e8","target":"record","created_at":"2026-05-18T01:18:04Z","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":"be0966ef06c4ebaa84cc8c530de7edfa0544a2b2f1a3298b63726622740eabc3","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-03-29T22:41:17Z","title_canon_sha256":"4972c05ee6173a51c5068d8849c781e4657b2453d0228ed64a97e3b6aaf2bc7b"},"schema_version":"1.0","source":{"id":"1603.08988","kind":"arxiv","version":1}},"canonical_sha256":"5c6963af65ca30ad3122a96e41c6b96fbceb5b65cfb94a3403a9d46f6b1657a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c6963af65ca30ad3122a96e41c6b96fbceb5b65cfb94a3403a9d46f6b1657a8","first_computed_at":"2026-05-18T01:18:04.105492Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:04.105492Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A9GqqasXY9wEHyLKDIqdF7rKEjTWXyn+/y159c2abOa2G65swv8jGV5Zheh0X5cDKKYSJiVZbdq4H1B6r8sTAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:04.106176Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.08988","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab253139d05a2ccaff71112c02f5e922b2791d86ca2feff740a7525330ed15e8","sha256:a3da2995c7ffcd95e4604ff8c92669584622952898a142230f82e4679c479b40"],"state_sha256":"3a9d19ad16bf6deb4e84487310940e0999866679b98e5804e36f3342d1e71bc3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aIY8IR1VyCn6KJMRI6SLSpLvxT2sgdGiXy+VZCyszs3xuDMeN/18w1p3BYQjd4NDhzhZvnsGKbvViLI57H16CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T09:33:22.755309Z","bundle_sha256":"a6c09ade2eeb61a5354c61c835a3dbd8ea25170c9a2ac14f9a623bfd86528a1c"}}