{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:L6MZMUW5VDYFMM2T7NM4DWIAMX","short_pith_number":"pith:L6MZMUW5","schema_version":"1.0","canonical_sha256":"5f999652dda8f0563353fb59c1d90065e2516e276cfc48157062dfa6e631b56f","source":{"kind":"arxiv","id":"1408.3549","version":5},"attestation_state":"computed","paper":{"title":"A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Guy-Bart Stan, Jorge Gon\\c{c}alves, Wei Pan, Ye Yuan","submitted_at":"2014-08-15T14:49:23Z","abstract_excerpt":"This technical note considers the identification of nonlinear discrete-time systems with additive process noise but without measurement noise. In particular, we propose a method and its associated algorithm to identify the system nonlinear functional forms and their associated parameters from a limited number of time-series data points. For this, we cast this identification problem as a sparse linear regression problem and take a Bayesian viewpoint to solve it. As such, this approach typically leads to nonconvex optimisations. We propose a convexification procedure relying on an efficient iter"},"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":"1408.3549","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-08-15T14:49:23Z","cross_cats_sorted":[],"title_canon_sha256":"d922d18a39cd8cc7414e0119ff9c0cef1848b5e164451f10e11948100d0a0f79","abstract_canon_sha256":"ec8ac5dce2a745ce77fd8140977ea7d3b90186e84af3d0361b80e56eb11059c5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:18:01.289105Z","signature_b64":"bYPC0vl+AeAFfZ0TQd3oKsCQ227zOBt4AfTy/GEkKzUygEaMSX3R5zBehAlhTT6Jy1YMiLM5ReZIMOaipSyjAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f999652dda8f0563353fb59c1d90065e2516e276cfc48157062dfa6e631b56f","last_reissued_at":"2026-05-18T02:18:01.288458Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:18:01.288458Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Guy-Bart Stan, Jorge Gon\\c{c}alves, Wei Pan, Ye Yuan","submitted_at":"2014-08-15T14:49:23Z","abstract_excerpt":"This technical note considers the identification of nonlinear discrete-time systems with additive process noise but without measurement noise. In particular, we propose a method and its associated algorithm to identify the system nonlinear functional forms and their associated parameters from a limited number of time-series data points. For this, we cast this identification problem as a sparse linear regression problem and take a Bayesian viewpoint to solve it. As such, this approach typically leads to nonconvex optimisations. We propose a convexification procedure relying on an efficient iter"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.3549","kind":"arxiv","version":5},"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":"1408.3549","created_at":"2026-05-18T02:18:01.288540+00:00"},{"alias_kind":"arxiv_version","alias_value":"1408.3549v5","created_at":"2026-05-18T02:18:01.288540+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.3549","created_at":"2026-05-18T02:18:01.288540+00:00"},{"alias_kind":"pith_short_12","alias_value":"L6MZMUW5VDYF","created_at":"2026-05-18T12:28:35.611951+00:00"},{"alias_kind":"pith_short_16","alias_value":"L6MZMUW5VDYFMM2T","created_at":"2026-05-18T12:28:35.611951+00:00"},{"alias_kind":"pith_short_8","alias_value":"L6MZMUW5","created_at":"2026-05-18T12:28:35.611951+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/L6MZMUW5VDYFMM2T7NM4DWIAMX","json":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX.json","graph_json":"https://pith.science/api/pith-number/L6MZMUW5VDYFMM2T7NM4DWIAMX/graph.json","events_json":"https://pith.science/api/pith-number/L6MZMUW5VDYFMM2T7NM4DWIAMX/events.json","paper":"https://pith.science/paper/L6MZMUW5"},"agent_actions":{"view_html":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX","download_json":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX.json","view_paper":"https://pith.science/paper/L6MZMUW5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1408.3549&json=true","fetch_graph":"https://pith.science/api/pith-number/L6MZMUW5VDYFMM2T7NM4DWIAMX/graph.json","fetch_events":"https://pith.science/api/pith-number/L6MZMUW5VDYFMM2T7NM4DWIAMX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX/action/storage_attestation","attest_author":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX/action/author_attestation","sign_citation":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX/action/citation_signature","submit_replication":"https://pith.science/pith/L6MZMUW5VDYFMM2T7NM4DWIAMX/action/replication_record"}},"created_at":"2026-05-18T02:18:01.288540+00:00","updated_at":"2026-05-18T02:18:01.288540+00:00"}