{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:KGVHADOBQM7YCYH752PJKYVDLQ","short_pith_number":"pith:KGVHADOB","canonical_record":{"source":{"id":"1510.02604","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-10-09T09:46:38Z","cross_cats_sorted":[],"title_canon_sha256":"304ec4e675733015d55144b5e3871af1b9dced15b5c64587ef2c226829ec674a","abstract_canon_sha256":"f824143efe1f2aef1a1b59ad70fa9efa0af7048c22c354a434ac890a8750b33e"},"schema_version":"1.0"},"canonical_sha256":"51aa700dc1833f8160ffee9e9562a35c13a56d48601f9bea7675a30cb15974ed","source":{"kind":"arxiv","id":"1510.02604","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.02604","created_at":"2026-05-18T01:30:41Z"},{"alias_kind":"arxiv_version","alias_value":"1510.02604v1","created_at":"2026-05-18T01:30:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.02604","created_at":"2026-05-18T01:30:41Z"},{"alias_kind":"pith_short_12","alias_value":"KGVHADOBQM7Y","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_16","alias_value":"KGVHADOBQM7YCYH7","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_8","alias_value":"KGVHADOB","created_at":"2026-05-18T12:29:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:KGVHADOBQM7YCYH752PJKYVDLQ","target":"record","payload":{"canonical_record":{"source":{"id":"1510.02604","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-10-09T09:46:38Z","cross_cats_sorted":[],"title_canon_sha256":"304ec4e675733015d55144b5e3871af1b9dced15b5c64587ef2c226829ec674a","abstract_canon_sha256":"f824143efe1f2aef1a1b59ad70fa9efa0af7048c22c354a434ac890a8750b33e"},"schema_version":"1.0"},"canonical_sha256":"51aa700dc1833f8160ffee9e9562a35c13a56d48601f9bea7675a30cb15974ed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:30:41.950758Z","signature_b64":"aunCDG594ooDZLW5suY+2pWDl620Kuu0ibkmy0t4sjOfeN39IyQuSyy0u4KCXdabxkb74UoSxWz1guOdX/kvCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51aa700dc1833f8160ffee9e9562a35c13a56d48601f9bea7675a30cb15974ed","last_reissued_at":"2026-05-18T01:30:41.950093Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:30:41.950093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1510.02604","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":"2026-05-18T01:30:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nIO3rYh7oy2CPuS3/LhwawdQB14cVV8RUCJsj3NB6zQ0YzE1murrD4M7v7rcLXkECpxhd5mjU0AinZyqbEBqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:43:56.195992Z"},"content_sha256":"5619e076585fe85e78d606a189d9187f148455a456e053f9912ae1bcbdeeaa22","schema_version":"1.0","event_id":"sha256:5619e076585fe85e78d606a189d9187f148455a456e053f9912ae1bcbdeeaa22"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:KGVHADOBQM7YCYH752PJKYVDLQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.CO","authors_text":"Christopher Nemeth, Lyudmila Mihaylova, Paul Fearnhead","submitted_at":"2015-10-09T09:46:38Z","abstract_excerpt":"This paper develops a novel sequential Monte Carlo (SMC) approach for joint state and parameter estimation that can deal efficiently with abruptly changing parameters which is a common case when tracking maneuvering targets. The approach combines Bayesian methods for dealing with changepoints with methods for estimating static parameters within the SMC framework. The result is an approach which adaptively estimates the model parameters in accordance with changes to the target's trajectory. The developed approach is compared against the Interacting Multiple Model (IMM) filter for tracking a man"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.02604","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":"2026-05-18T01:30:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0QrSnY0simLeakw4+EVLkFMx7hAyWBFlD/9T7ZjouQk9rpltcUg2diT617JR/zf3L9Il/9hxqval/HfYfOfVBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:43:56.196350Z"},"content_sha256":"cf56f054e2a0ba74fc6d3a509e96464acd1f8d723df6b09d5ff36bad784f247c","schema_version":"1.0","event_id":"sha256:cf56f054e2a0ba74fc6d3a509e96464acd1f8d723df6b09d5ff36bad784f247c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KGVHADOBQM7YCYH752PJKYVDLQ/bundle.json","state_url":"https://pith.science/pith/KGVHADOBQM7YCYH752PJKYVDLQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KGVHADOBQM7YCYH752PJKYVDLQ/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":"2026-06-03T02:43:56Z","links":{"resolver":"https://pith.science/pith/KGVHADOBQM7YCYH752PJKYVDLQ","bundle":"https://pith.science/pith/KGVHADOBQM7YCYH752PJKYVDLQ/bundle.json","state":"https://pith.science/pith/KGVHADOBQM7YCYH752PJKYVDLQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KGVHADOBQM7YCYH752PJKYVDLQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:KGVHADOBQM7YCYH752PJKYVDLQ","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":"f824143efe1f2aef1a1b59ad70fa9efa0af7048c22c354a434ac890a8750b33e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-10-09T09:46:38Z","title_canon_sha256":"304ec4e675733015d55144b5e3871af1b9dced15b5c64587ef2c226829ec674a"},"schema_version":"1.0","source":{"id":"1510.02604","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.02604","created_at":"2026-05-18T01:30:41Z"},{"alias_kind":"arxiv_version","alias_value":"1510.02604v1","created_at":"2026-05-18T01:30:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.02604","created_at":"2026-05-18T01:30:41Z"},{"alias_kind":"pith_short_12","alias_value":"KGVHADOBQM7Y","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_16","alias_value":"KGVHADOBQM7YCYH7","created_at":"2026-05-18T12:29:27Z"},{"alias_kind":"pith_short_8","alias_value":"KGVHADOB","created_at":"2026-05-18T12:29:27Z"}],"graph_snapshots":[{"event_id":"sha256:cf56f054e2a0ba74fc6d3a509e96464acd1f8d723df6b09d5ff36bad784f247c","target":"graph","created_at":"2026-05-18T01:30:41Z","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 develops a novel sequential Monte Carlo (SMC) approach for joint state and parameter estimation that can deal efficiently with abruptly changing parameters which is a common case when tracking maneuvering targets. The approach combines Bayesian methods for dealing with changepoints with methods for estimating static parameters within the SMC framework. The result is an approach which adaptively estimates the model parameters in accordance with changes to the target's trajectory. The developed approach is compared against the Interacting Multiple Model (IMM) filter for tracking a man","authors_text":"Christopher Nemeth, Lyudmila Mihaylova, Paul Fearnhead","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-10-09T09:46:38Z","title":"Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.02604","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":"sha256:5619e076585fe85e78d606a189d9187f148455a456e053f9912ae1bcbdeeaa22","target":"record","created_at":"2026-05-18T01:30:41Z","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":"f824143efe1f2aef1a1b59ad70fa9efa0af7048c22c354a434ac890a8750b33e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2015-10-09T09:46:38Z","title_canon_sha256":"304ec4e675733015d55144b5e3871af1b9dced15b5c64587ef2c226829ec674a"},"schema_version":"1.0","source":{"id":"1510.02604","kind":"arxiv","version":1}},"canonical_sha256":"51aa700dc1833f8160ffee9e9562a35c13a56d48601f9bea7675a30cb15974ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51aa700dc1833f8160ffee9e9562a35c13a56d48601f9bea7675a30cb15974ed","first_computed_at":"2026-05-18T01:30:41.950093Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:30:41.950093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aunCDG594ooDZLW5suY+2pWDl620Kuu0ibkmy0t4sjOfeN39IyQuSyy0u4KCXdabxkb74UoSxWz1guOdX/kvCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:30:41.950758Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.02604","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5619e076585fe85e78d606a189d9187f148455a456e053f9912ae1bcbdeeaa22","sha256:cf56f054e2a0ba74fc6d3a509e96464acd1f8d723df6b09d5ff36bad784f247c"],"state_sha256":"65de57d5f9081adaae7bb137dcfdb5604fd0fa727e767b987b12a493ecc55081"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I6WMyihXSpL2fwE89GFrohLJT31vsc5GLKnMcz/LZkyCAS/PAvzJdvcduAS4tR0zRPvulFBOWm9hH7eCB3PKAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T02:43:56.198230Z","bundle_sha256":"877ac08f0b4be8106ce89b62e71840a2dafcad01b9355f3b04e7f22c7cbf4866"}}