{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:V2TDPZL4FZI3KM6KB6QYTFCM73","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":"43f2e30fc144451d8e88107b30735f985bba69b83148e1b7567e28f63382cfa8","cross_cats_sorted":["cs.IT","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-20T17:38:53Z","title_canon_sha256":"20abb8a0158e1b9d3144c4a0361678e28857f36d917e4be3b59751861a73639a"},"schema_version":"1.0","source":{"id":"1411.5620","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1411.5620","created_at":"2026-05-18T00:58:11Z"},{"alias_kind":"arxiv_version","alias_value":"1411.5620v2","created_at":"2026-05-18T00:58:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1411.5620","created_at":"2026-05-18T00:58:11Z"},{"alias_kind":"pith_short_12","alias_value":"V2TDPZL4FZI3","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"V2TDPZL4FZI3KM6K","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"V2TDPZL4","created_at":"2026-05-18T12:28:52Z"}],"graph_snapshots":[{"event_id":"sha256:a91a70383c4fde9423b9bdf4613c8ab6c9793569a38395060d83fc117fe85263","target":"graph","created_at":"2026-05-18T00:58:11Z","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":"A new nonparametric approach for system identification has been recently proposed where the impulse response is modeled as the realization of a zero-mean Gaussian process whose covariance (kernel) has to be estimated from data. In this scheme, quality of the estimates crucially depends on the parametrization of the covariance of the Gaussian process. A family of kernels that have been shown to be particularly effective in the system identification framework is the family of Diagonal/Correlated (DC) kernels. Maximum entropy properties of a related family of kernels, the Tuned/Correlated (TC) ke","authors_text":"Francesca Paola Carli, Lennart Ljung, Tianshi Chen","cross_cats":["cs.IT","math.IT","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-20T17:38:53Z","title":"Maximum Entropy Kernels for System Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.5620","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":"sha256:2f47669004e4830b9edbe3f76dcb5d70344e201a051813b6a91cd8affad469b1","target":"record","created_at":"2026-05-18T00:58:11Z","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":"43f2e30fc144451d8e88107b30735f985bba69b83148e1b7567e28f63382cfa8","cross_cats_sorted":["cs.IT","math.IT","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-20T17:38:53Z","title_canon_sha256":"20abb8a0158e1b9d3144c4a0361678e28857f36d917e4be3b59751861a73639a"},"schema_version":"1.0","source":{"id":"1411.5620","kind":"arxiv","version":2}},"canonical_sha256":"aea637e57c2e51b533ca0fa189944cfecd2cf24104bbb17bd7570cdbaef67207","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aea637e57c2e51b533ca0fa189944cfecd2cf24104bbb17bd7570cdbaef67207","first_computed_at":"2026-05-18T00:58:11.218211Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:11.218211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K1dqPl1KI62O/45k3RFVi+LZqyeWpfNvtMHWzFiy2HWVZFNmeorEtMS2kkMnGCVLPD+q0Mox5FkFAHLNbvNiDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:11.218855Z","signed_message":"canonical_sha256_bytes"},"source_id":"1411.5620","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f47669004e4830b9edbe3f76dcb5d70344e201a051813b6a91cd8affad469b1","sha256:a91a70383c4fde9423b9bdf4613c8ab6c9793569a38395060d83fc117fe85263"],"state_sha256":"1037c8a12ce8801ccd56089045d49767f762fb86ead5af0f9e501c7eef292d6d"}