{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:VR6V5TMOHMT5MG5P2G4FOLARSH","short_pith_number":"pith:VR6V5TMO","canonical_record":{"source":{"id":"1610.08534","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2016-10-26T20:27:26Z","cross_cats_sorted":[],"title_canon_sha256":"9373752ee35c2f2523ff9af765213a3449741a551ad28b7cd1db06c9b0beaea2","abstract_canon_sha256":"379a72dee5eee4b4ab10d79299e1b808e43fba7057b5df05be5166502e7ebfe3"},"schema_version":"1.0"},"canonical_sha256":"ac7d5ecd8e3b27d61bafd1b8572c1191e60e3ccf888f3a267f0bd163bdfbc47d","source":{"kind":"arxiv","id":"1610.08534","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.08534","created_at":"2026-05-18T01:01:07Z"},{"alias_kind":"arxiv_version","alias_value":"1610.08534v1","created_at":"2026-05-18T01:01:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.08534","created_at":"2026-05-18T01:01:07Z"},{"alias_kind":"pith_short_12","alias_value":"VR6V5TMOHMT5","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VR6V5TMOHMT5MG5P","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VR6V5TMO","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:VR6V5TMOHMT5MG5P2G4FOLARSH","target":"record","payload":{"canonical_record":{"source":{"id":"1610.08534","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2016-10-26T20:27:26Z","cross_cats_sorted":[],"title_canon_sha256":"9373752ee35c2f2523ff9af765213a3449741a551ad28b7cd1db06c9b0beaea2","abstract_canon_sha256":"379a72dee5eee4b4ab10d79299e1b808e43fba7057b5df05be5166502e7ebfe3"},"schema_version":"1.0"},"canonical_sha256":"ac7d5ecd8e3b27d61bafd1b8572c1191e60e3ccf888f3a267f0bd163bdfbc47d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:01:07.911601Z","signature_b64":"VfNMBZfjljC9UtrUC7muF5o8atMRkyMTgd1x8VBiYMn8ZP+QeZm4s+cY4Eh+tW4WU8xCt6E1OTLDdx0PTCsiCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac7d5ecd8e3b27d61bafd1b8572c1191e60e3ccf888f3a267f0bd163bdfbc47d","last_reissued_at":"2026-05-18T01:01:07.910942Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:01:07.910942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1610.08534","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:01:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ikliiA8sVyg1LUsu6Lun7TS74PkOr7GH3wNdYkqtOW13QKcu98VEVUDtHwZBMjQOcrALSOP7+RXNNvY+CkA9BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T15:55:22.759360Z"},"content_sha256":"47746044a8cbbe3dbe526c230d68fd98b911999b63c24c5acc259b0d46801781","schema_version":"1.0","event_id":"sha256:47746044a8cbbe3dbe526c230d68fd98b911999b63c24c5acc259b0d46801781"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:VR6V5TMOHMT5MG5P2G4FOLARSH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Optimal model order reduction with the Steiglitz-McBride method for open-loop data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"H{\\aa}kan Hjalmarsson, Miguel Galrinho, Niklas Everitt","submitted_at":"2016-10-26T20:27:26Z","abstract_excerpt":"In system identification, it is often difficult to find a physical intuition to choose a noise model structure. The importance of this choice is that, for the prediction error method (PEM) to provide asymptotically efficient estimates, the model orders must be chosen according to the true system. However, if only the plant estimates are of interest and the experiment is performed in open loop, the noise model may be over-parameterized without affecting the asymptotic properties of the plant. The limitation is that, as PEM suffers in general from non-convexity, estimating an unnecessarily large"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.08534","kind":"arxiv","version":1},"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":"2026-05-18T01:01:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5XmhiUAzP6fKprCtK6TlfmL5tUfI4KSiEzP3W0elDCAdktbxY2o8RRgZTiJhBxyNcVdFJHQkDgO15iE6/u1vDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T15:55:22.760025Z"},"content_sha256":"8c36f20569122b2ef55d4070ce818418968b8e5e3273008f17c9e7f9a212e9bd","schema_version":"1.0","event_id":"sha256:8c36f20569122b2ef55d4070ce818418968b8e5e3273008f17c9e7f9a212e9bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VR6V5TMOHMT5MG5P2G4FOLARSH/bundle.json","state_url":"https://pith.science/pith/VR6V5TMOHMT5MG5P2G4FOLARSH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VR6V5TMOHMT5MG5P2G4FOLARSH/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":"2026-06-03T15:55:22Z","links":{"resolver":"https://pith.science/pith/VR6V5TMOHMT5MG5P2G4FOLARSH","bundle":"https://pith.science/pith/VR6V5TMOHMT5MG5P2G4FOLARSH/bundle.json","state":"https://pith.science/pith/VR6V5TMOHMT5MG5P2G4FOLARSH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VR6V5TMOHMT5MG5P2G4FOLARSH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:VR6V5TMOHMT5MG5P2G4FOLARSH","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":"379a72dee5eee4b4ab10d79299e1b808e43fba7057b5df05be5166502e7ebfe3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2016-10-26T20:27:26Z","title_canon_sha256":"9373752ee35c2f2523ff9af765213a3449741a551ad28b7cd1db06c9b0beaea2"},"schema_version":"1.0","source":{"id":"1610.08534","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.08534","created_at":"2026-05-18T01:01:07Z"},{"alias_kind":"arxiv_version","alias_value":"1610.08534v1","created_at":"2026-05-18T01:01:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.08534","created_at":"2026-05-18T01:01:07Z"},{"alias_kind":"pith_short_12","alias_value":"VR6V5TMOHMT5","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VR6V5TMOHMT5MG5P","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VR6V5TMO","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:8c36f20569122b2ef55d4070ce818418968b8e5e3273008f17c9e7f9a212e9bd","target":"graph","created_at":"2026-05-18T01:01:07Z","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":"In system identification, it is often difficult to find a physical intuition to choose a noise model structure. The importance of this choice is that, for the prediction error method (PEM) to provide asymptotically efficient estimates, the model orders must be chosen according to the true system. However, if only the plant estimates are of interest and the experiment is performed in open loop, the noise model may be over-parameterized without affecting the asymptotic properties of the plant. The limitation is that, as PEM suffers in general from non-convexity, estimating an unnecessarily large","authors_text":"H{\\aa}kan Hjalmarsson, Miguel Galrinho, Niklas Everitt","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2016-10-26T20:27:26Z","title":"Optimal model order reduction with the Steiglitz-McBride method for open-loop data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.08534","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":"sha256:47746044a8cbbe3dbe526c230d68fd98b911999b63c24c5acc259b0d46801781","target":"record","created_at":"2026-05-18T01:01:07Z","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":"379a72dee5eee4b4ab10d79299e1b808e43fba7057b5df05be5166502e7ebfe3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2016-10-26T20:27:26Z","title_canon_sha256":"9373752ee35c2f2523ff9af765213a3449741a551ad28b7cd1db06c9b0beaea2"},"schema_version":"1.0","source":{"id":"1610.08534","kind":"arxiv","version":1}},"canonical_sha256":"ac7d5ecd8e3b27d61bafd1b8572c1191e60e3ccf888f3a267f0bd163bdfbc47d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac7d5ecd8e3b27d61bafd1b8572c1191e60e3ccf888f3a267f0bd163bdfbc47d","first_computed_at":"2026-05-18T01:01:07.910942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:01:07.910942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VfNMBZfjljC9UtrUC7muF5o8atMRkyMTgd1x8VBiYMn8ZP+QeZm4s+cY4Eh+tW4WU8xCt6E1OTLDdx0PTCsiCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:01:07.911601Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.08534","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47746044a8cbbe3dbe526c230d68fd98b911999b63c24c5acc259b0d46801781","sha256:8c36f20569122b2ef55d4070ce818418968b8e5e3273008f17c9e7f9a212e9bd"],"state_sha256":"dbc4722cf6fc31c5ecc531820c074c7cfb384eb2abd0602fa49bc9cda688e255"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oMaasL2KSihnFQYztBtrhylWiRP0JzL9iwCa/4KIUNFiiRqDmgYOk6mxa8NDfs8HX0cIJsAO3009Oc4Nl0XQCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T15:55:22.762973Z","bundle_sha256":"ca723326d0ccfa11145f7b2c93e87cc4be41db9d1065736a7805e3b3cd11336b"}}