{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4MNKNJ4BLAZ3M7KLZKGOTEAITA","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":"d0bc3c2009549285bb93b2b20b584f44411225209b114cc52615b26fb4b09895","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-08-13T12:04:17Z","title_canon_sha256":"442cf94b7758417672e45f2eb9a2bd11cc732ad015e3917adfc4a06e51f1da19"},"schema_version":"1.0","source":{"id":"1908.04597","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.04597","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"arxiv_version","alias_value":"1908.04597v1","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.04597","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_12","alias_value":"4MNKNJ4BLAZ3","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_16","alias_value":"4MNKNJ4BLAZ3M7KL","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_8","alias_value":"4MNKNJ4B","created_at":"2026-07-05T00:38:03Z"}],"graph_snapshots":[{"event_id":"sha256:0b1eea29ea29fbe09465c0642bff67b4a065196aa1052cefb5295d2dced82d95","target":"graph","created_at":"2026-07-05T00:38:03Z","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/1908.04597/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A numerically efficient inverse method for parametric model uncertainty identification using maximum likelihood estimation is presented. The goal is to identify a probability model for a fixed number of model parameters based on a set of experiments. To perform maximum likelihood estimation, the output probability density function is required. Forward propagation of input uncertainty is established combining Polynomial Chaos and moment matching. High-order moments of the output distribution are estimated using the generalized Polynomial Chaos framework. Next, a maximum entropy parametric distr","authors_text":"Bruno Depraetere, Georges Tod, Guillaume Crevecoeur, Nele De Geeter, Suzanne Van Poppel, Tom Lefebvre, Wannes De Groote","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-08-13T12:04:17Z","title":"Inverse Parametric Uncertain Identification using Polynomial Chaos and high-order Moment Matching benchmarked on a Wet Friction Clutch"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.04597","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:d19a26e5dc31ed30d16b87ba6d33a10ee56568760bf0fa9aadc0af5e3379d536","target":"record","created_at":"2026-07-05T00:38:03Z","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":"d0bc3c2009549285bb93b2b20b584f44411225209b114cc52615b26fb4b09895","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-08-13T12:04:17Z","title_canon_sha256":"442cf94b7758417672e45f2eb9a2bd11cc732ad015e3917adfc4a06e51f1da19"},"schema_version":"1.0","source":{"id":"1908.04597","kind":"arxiv","version":1}},"canonical_sha256":"e31aa6a7815833b67d4bca8ce99008983fc702d2316e2428095704f97695b49f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e31aa6a7815833b67d4bca8ce99008983fc702d2316e2428095704f97695b49f","first_computed_at":"2026-07-05T00:38:03.513849Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:38:03.513849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LCQZVYPBA/8cKMIIwXd1ZnczS4Bwfb1Cy7V5YwjLNaunDHe4dYDcNcyLXbCeWNCQw/VjM62vtZrmdgJCaiFTCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:38:03.514351Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.04597","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d19a26e5dc31ed30d16b87ba6d33a10ee56568760bf0fa9aadc0af5e3379d536","sha256:0b1eea29ea29fbe09465c0642bff67b4a065196aa1052cefb5295d2dced82d95"],"state_sha256":"3d0844e9fe928d1f6b16037de1a5c96fca349b4101a087c214bb6e706cbfd5df"}