{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MU7EN7RK5SCYNLUCGAX4SNRQVQ","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":"384bd8cfafb1abfb802cbbc30ec8607f563b0d56de36d7bf87e07af1b02fd593","cross_cats_sorted":["cs.SY","math.DS","math.OC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SY","submitted_at":"2022-04-08T13:26:05Z","title_canon_sha256":"b01d2a39b2713d398ba46b2f271ae8d15056ccbe4b73c0930d0ad88e3fff35ee"},"schema_version":"1.0","source":{"id":"2204.04060","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.04060","created_at":"2026-07-05T05:10:55Z"},{"alias_kind":"arxiv_version","alias_value":"2204.04060v2","created_at":"2026-07-05T05:10:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.04060","created_at":"2026-07-05T05:10:55Z"},{"alias_kind":"pith_short_12","alias_value":"MU7EN7RK5SCY","created_at":"2026-07-05T05:10:55Z"},{"alias_kind":"pith_short_16","alias_value":"MU7EN7RK5SCYNLUC","created_at":"2026-07-05T05:10:55Z"},{"alias_kind":"pith_short_8","alias_value":"MU7EN7RK","created_at":"2026-07-05T05:10:55Z"}],"graph_snapshots":[{"event_id":"sha256:7a2593d4ab994e14e63926418b4c9d938699929fd6bdcacb8ff8059285425a67","target":"graph","created_at":"2026-07-05T05:10:55Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2204.04060/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Linear Parameter-Varying (LPV) framework provides a modeling and control design toolchain to address nonlinear (NL) system behavior via linear surrogate models. Despite major research effort on LPV data-driven modeling, a key shortcoming of the current identification theory is that often the scheduling variable is assumed to be a given measured signal in the data set. In case of identifying an LPV model of a NL system, the selection of the scheduling map, which describes the relation to the measurable scheduling signal, is put on the users' shoulder, with only limited supporting tools avai","authors_text":"Chris Verhoek, Gerben I. Beintema, Maarten Schoukens, Roland T\\'o th, Sofie Haesaert","cross_cats":["cs.SY","math.DS","math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SY","submitted_at":"2022-04-08T13:26:05Z","title":"Deep-Learning-Based Identification of LPV Models for Nonlinear Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.04060","kind":"arxiv","version":2},"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":"sha256:2dc34d7c20d2ed122cfa993525d2c3955df597c542e75164e94e75e9c5aeac47","target":"record","created_at":"2026-07-05T05:10:55Z","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":"384bd8cfafb1abfb802cbbc30ec8607f563b0d56de36d7bf87e07af1b02fd593","cross_cats_sorted":["cs.SY","math.DS","math.OC"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SY","submitted_at":"2022-04-08T13:26:05Z","title_canon_sha256":"b01d2a39b2713d398ba46b2f271ae8d15056ccbe4b73c0930d0ad88e3fff35ee"},"schema_version":"1.0","source":{"id":"2204.04060","kind":"arxiv","version":2}},"canonical_sha256":"653e46fe2aec8586ae82302fc93630ac12ae42b6e9094094aebab796b3a463f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"653e46fe2aec8586ae82302fc93630ac12ae42b6e9094094aebab796b3a463f2","first_computed_at":"2026-07-05T05:10:55.222740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:55.222740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YEdvpWIIQjE6SVO4Jf3BgPr9ZUO7q+MZljjnWXEz/TofuhYEQihRrrpNjigX/p98PWaWyuuw6JcKYmZFc4++CA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:55.223173Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.04060","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2dc34d7c20d2ed122cfa993525d2c3955df597c542e75164e94e75e9c5aeac47","sha256:7a2593d4ab994e14e63926418b4c9d938699929fd6bdcacb8ff8059285425a67"],"state_sha256":"4700391156cc863041dfa94d883cb72357760e9097845a1da0aecce69e1cb240"}