{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:V2TDPZL4FZI3KM6KB6QYTFCM73","short_pith_number":"pith:V2TDPZL4","canonical_record":{"source":{"id":"1411.5620","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-20T17:38:53Z","cross_cats_sorted":["cs.IT","math.IT","stat.ML"],"title_canon_sha256":"20abb8a0158e1b9d3144c4a0361678e28857f36d917e4be3b59751861a73639a","abstract_canon_sha256":"43f2e30fc144451d8e88107b30735f985bba69b83148e1b7567e28f63382cfa8"},"schema_version":"1.0"},"canonical_sha256":"aea637e57c2e51b533ca0fa189944cfecd2cf24104bbb17bd7570cdbaef67207","source":{"kind":"arxiv","id":"1411.5620","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:V2TDPZL4FZI3KM6KB6QYTFCM73","target":"record","payload":{"canonical_record":{"source":{"id":"1411.5620","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-11-20T17:38:53Z","cross_cats_sorted":["cs.IT","math.IT","stat.ML"],"title_canon_sha256":"20abb8a0158e1b9d3144c4a0361678e28857f36d917e4be3b59751861a73639a","abstract_canon_sha256":"43f2e30fc144451d8e88107b30735f985bba69b83148e1b7567e28f63382cfa8"},"schema_version":"1.0"},"canonical_sha256":"aea637e57c2e51b533ca0fa189944cfecd2cf24104bbb17bd7570cdbaef67207","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:58:11.218855Z","signature_b64":"K1dqPl1KI62O/45k3RFVi+LZqyeWpfNvtMHWzFiy2HWVZFNmeorEtMS2kkMnGCVLPD+q0Mox5FkFAHLNbvNiDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aea637e57c2e51b533ca0fa189944cfecd2cf24104bbb17bd7570cdbaef67207","last_reissued_at":"2026-05-18T00:58:11.218211Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:58:11.218211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1411.5620","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:58:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OlMzjeV7svZsjey43DZzdHuwWxAnomfjUcsHMWUPWBSISNzmeK8CvTLbhZIvcPkrULhFNRZaAD0hxTrUWMoUAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T11:22:12.924817Z"},"content_sha256":"2f47669004e4830b9edbe3f76dcb5d70344e201a051813b6a91cd8affad469b1","schema_version":"1.0","event_id":"sha256:2f47669004e4830b9edbe3f76dcb5d70344e201a051813b6a91cd8affad469b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:V2TDPZL4FZI3KM6KB6QYTFCM73","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Maximum Entropy Kernels for System Identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT","stat.ML"],"primary_cat":"math.OC","authors_text":"Francesca Paola Carli, Lennart Ljung, Tianshi Chen","submitted_at":"2014-11-20T17:38:53Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1411.5620","kind":"arxiv","version":2},"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":"2026-05-18T00:58:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TGfj+uRS/BfS6AFU1YWnIFVHZq0lBxzOtTSuEoyqJBMXO5hnyUmIajRCFRaqUz1BuKye2/ohXEFlkPZJMUFtBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T11:22:12.925162Z"},"content_sha256":"a91a70383c4fde9423b9bdf4613c8ab6c9793569a38395060d83fc117fe85263","schema_version":"1.0","event_id":"sha256:a91a70383c4fde9423b9bdf4613c8ab6c9793569a38395060d83fc117fe85263"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V2TDPZL4FZI3KM6KB6QYTFCM73/bundle.json","state_url":"https://pith.science/pith/V2TDPZL4FZI3KM6KB6QYTFCM73/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V2TDPZL4FZI3KM6KB6QYTFCM73/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":"2026-06-08T11:22:12Z","links":{"resolver":"https://pith.science/pith/V2TDPZL4FZI3KM6KB6QYTFCM73","bundle":"https://pith.science/pith/V2TDPZL4FZI3KM6KB6QYTFCM73/bundle.json","state":"https://pith.science/pith/V2TDPZL4FZI3KM6KB6QYTFCM73/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V2TDPZL4FZI3KM6KB6QYTFCM73/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nf51rQqDzhhQLWt1VFAHRpXl2hLnTZ0GUTUu8avzST4/ojAVWFamlCfiTrXqWDje0+Ty/QjXZ9X2xM2U6PtZCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T11:22:12.927114Z","bundle_sha256":"fc7705970569b8b03b683d5969f57c906d7292d3c564a7e8aa5ae648e667e53e"}}