{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:4DZR2WSLBY4QVTHNCCAA67RW7V","short_pith_number":"pith:4DZR2WSL","canonical_record":{"source":{"id":"1604.04198","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-14T15:59:35Z","cross_cats_sorted":[],"title_canon_sha256":"a0c0bcbf38f85a5c444ac093ef4b854eddffb67d9e09e5c3febbea9c7ef6a6c5","abstract_canon_sha256":"d29e366e85877d7406d428fdb05ee985b01bb914b615e4534e2557583b9d6805"},"schema_version":"1.0"},"canonical_sha256":"e0f31d5a4b0e390acced10800f7e36fd7d8d630bb3bbfcae0f4fc7eed41a45de","source":{"kind":"arxiv","id":"1604.04198","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.04198","created_at":"2026-05-18T01:13:39Z"},{"alias_kind":"arxiv_version","alias_value":"1604.04198v4","created_at":"2026-05-18T01:13:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.04198","created_at":"2026-05-18T01:13:39Z"},{"alias_kind":"pith_short_12","alias_value":"4DZR2WSLBY4Q","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4DZR2WSLBY4QVTHN","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4DZR2WSL","created_at":"2026-05-18T12:29:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:4DZR2WSLBY4QVTHNCCAA67RW7V","target":"record","payload":{"canonical_record":{"source":{"id":"1604.04198","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-14T15:59:35Z","cross_cats_sorted":[],"title_canon_sha256":"a0c0bcbf38f85a5c444ac093ef4b854eddffb67d9e09e5c3febbea9c7ef6a6c5","abstract_canon_sha256":"d29e366e85877d7406d428fdb05ee985b01bb914b615e4534e2557583b9d6805"},"schema_version":"1.0"},"canonical_sha256":"e0f31d5a4b0e390acced10800f7e36fd7d8d630bb3bbfcae0f4fc7eed41a45de","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:13:39.591998Z","signature_b64":"8K5TBZ+cCDlBUbnrRLach0uH5QEQ/7M0EphXGyJwkrGB7xpF58l/DwPYj3L20cyzZtdQe9Ks9ni7Heh7ocn6CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0f31d5a4b0e390acced10800f7e36fd7d8d630bb3bbfcae0f4fc7eed41a45de","last_reissued_at":"2026-05-18T01:13:39.591356Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:13:39.591356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.04198","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:13:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e1/79qr6KFouSFKCcbIj0B513+zS5JH0SrLBDykJZGXGyiKeghf6h1cUH7vPJKVWVm4aKqKl7K8z2p1rMxAtCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T09:20:18.765881Z"},"content_sha256":"0dfd4df42c2ddb256aca66587bc72041bd853476a6eee97c87782bc8382741fe","schema_version":"1.0","event_id":"sha256:0dfd4df42c2ddb256aca66587bc72041bd853476a6eee97c87782bc8382741fe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:4DZR2WSLBY4QVTHNCCAA67RW7V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Christian Hofmann, Christian Huemmer, Roland Maas, Walter Kellermann","submitted_at":"2016-04-14T15:59:35Z","abstract_excerpt":"In this article, we present the elitist particle filter based on evolutionary strategies (EPFES) as an efficient approach for nonlinear system identification. The EPFES is derived from the frequently-employed state-space model, where the relevant information of the nonlinear system is captured by an unknown state vector. Similar to classical particle filtering, the EPFES consists of a set of particles and respective weights which represent different realizations of the latent state vector and their likelihood of being the solution of the optimization problem. As main innovation, the EPFES incl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.04198","kind":"arxiv","version":4},"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":"2026-05-18T01:13:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MPsQFb6x4fUPUuJxhTq3Llf6uhXM4M49tzhTnH/Jx60CFcb6e9y3704rlXcx5DR1CmVAKnvbHNrbd38vOn1oAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T09:20:18.766231Z"},"content_sha256":"d56303ba602a074dea19e0321621aaff394d01c1b0e1475f76eaccb37e392343","schema_version":"1.0","event_id":"sha256:d56303ba602a074dea19e0321621aaff394d01c1b0e1475f76eaccb37e392343"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4DZR2WSLBY4QVTHNCCAA67RW7V/bundle.json","state_url":"https://pith.science/pith/4DZR2WSLBY4QVTHNCCAA67RW7V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4DZR2WSLBY4QVTHNCCAA67RW7V/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":"2026-06-24T09:20:18Z","links":{"resolver":"https://pith.science/pith/4DZR2WSLBY4QVTHNCCAA67RW7V","bundle":"https://pith.science/pith/4DZR2WSLBY4QVTHNCCAA67RW7V/bundle.json","state":"https://pith.science/pith/4DZR2WSLBY4QVTHNCCAA67RW7V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4DZR2WSLBY4QVTHNCCAA67RW7V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:4DZR2WSLBY4QVTHNCCAA67RW7V","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":"d29e366e85877d7406d428fdb05ee985b01bb914b615e4534e2557583b9d6805","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-14T15:59:35Z","title_canon_sha256":"a0c0bcbf38f85a5c444ac093ef4b854eddffb67d9e09e5c3febbea9c7ef6a6c5"},"schema_version":"1.0","source":{"id":"1604.04198","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.04198","created_at":"2026-05-18T01:13:39Z"},{"alias_kind":"arxiv_version","alias_value":"1604.04198v4","created_at":"2026-05-18T01:13:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.04198","created_at":"2026-05-18T01:13:39Z"},{"alias_kind":"pith_short_12","alias_value":"4DZR2WSLBY4Q","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_16","alias_value":"4DZR2WSLBY4QVTHN","created_at":"2026-05-18T12:29:58Z"},{"alias_kind":"pith_short_8","alias_value":"4DZR2WSL","created_at":"2026-05-18T12:29:58Z"}],"graph_snapshots":[{"event_id":"sha256:d56303ba602a074dea19e0321621aaff394d01c1b0e1475f76eaccb37e392343","target":"graph","created_at":"2026-05-18T01:13:39Z","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":"In this article, we present the elitist particle filter based on evolutionary strategies (EPFES) as an efficient approach for nonlinear system identification. The EPFES is derived from the frequently-employed state-space model, where the relevant information of the nonlinear system is captured by an unknown state vector. Similar to classical particle filtering, the EPFES consists of a set of particles and respective weights which represent different realizations of the latent state vector and their likelihood of being the solution of the optimization problem. As main innovation, the EPFES incl","authors_text":"Christian Hofmann, Christian Huemmer, Roland Maas, Walter Kellermann","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-14T15:59:35Z","title":"Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.04198","kind":"arxiv","version":4},"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":"sha256:0dfd4df42c2ddb256aca66587bc72041bd853476a6eee97c87782bc8382741fe","target":"record","created_at":"2026-05-18T01:13:39Z","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":"d29e366e85877d7406d428fdb05ee985b01bb914b615e4534e2557583b9d6805","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-04-14T15:59:35Z","title_canon_sha256":"a0c0bcbf38f85a5c444ac093ef4b854eddffb67d9e09e5c3febbea9c7ef6a6c5"},"schema_version":"1.0","source":{"id":"1604.04198","kind":"arxiv","version":4}},"canonical_sha256":"e0f31d5a4b0e390acced10800f7e36fd7d8d630bb3bbfcae0f4fc7eed41a45de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0f31d5a4b0e390acced10800f7e36fd7d8d630bb3bbfcae0f4fc7eed41a45de","first_computed_at":"2026-05-18T01:13:39.591356Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:13:39.591356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8K5TBZ+cCDlBUbnrRLach0uH5QEQ/7M0EphXGyJwkrGB7xpF58l/DwPYj3L20cyzZtdQe9Ks9ni7Heh7ocn6CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:13:39.591998Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.04198","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dfd4df42c2ddb256aca66587bc72041bd853476a6eee97c87782bc8382741fe","sha256:d56303ba602a074dea19e0321621aaff394d01c1b0e1475f76eaccb37e392343"],"state_sha256":"434dff7ed0ebceaa3973f30281716c638d708f1a63754f53df60c18d5109f410"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zHOz88nG1MOYt1AiIZmhBtXErIRyWdRV7PuNAbNqo+kV2BgFaM+Di3OGMDQPZ6vu92EaeOlEXfXZqV2PSVwhAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T09:20:18.768168Z","bundle_sha256":"d0124459e2ab609dd8fbc7b767233a7988bb71dda69056a449941dbef5ca6584"}}