{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CGK35BGWCV4AHMSAUHLDSIWZXQ","short_pith_number":"pith:CGK35BGW","canonical_record":{"source":{"id":"2012.08126","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2020-12-15T07:11:59Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"36d5df72ea295929bd933d52d543500a592e27279cdeeff0a136b71d1cd52568","abstract_canon_sha256":"feeea3017db10cf84652ad4e7c45ec3f5161d2d13cbc3191d7d7c0f5bf5d002a"},"schema_version":"1.0"},"canonical_sha256":"1195be84d6157803b240a1d63922d9bc2ee2db30ee376ce893ca862eed3decbf","source":{"kind":"arxiv","id":"2012.08126","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.08126","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"arxiv_version","alias_value":"2012.08126v2","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.08126","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"pith_short_12","alias_value":"CGK35BGWCV4A","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"pith_short_16","alias_value":"CGK35BGWCV4AHMSA","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"pith_short_8","alias_value":"CGK35BGW","created_at":"2026-07-05T02:31:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CGK35BGWCV4AHMSAUHLDSIWZXQ","target":"record","payload":{"canonical_record":{"source":{"id":"2012.08126","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2020-12-15T07:11:59Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"36d5df72ea295929bd933d52d543500a592e27279cdeeff0a136b71d1cd52568","abstract_canon_sha256":"feeea3017db10cf84652ad4e7c45ec3f5161d2d13cbc3191d7d7c0f5bf5d002a"},"schema_version":"1.0"},"canonical_sha256":"1195be84d6157803b240a1d63922d9bc2ee2db30ee376ce893ca862eed3decbf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:31:02.683362Z","signature_b64":"mqdyfP5+bKDTURK3ebd+XgbASa5aYONDNBiB5uw5gnbbZui7WsKL9gI5hu2mUKPqjy8dXUEQT8p10+1Ox6h2BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1195be84d6157803b240a1d63922d9bc2ee2db30ee376ce893ca862eed3decbf","last_reissued_at":"2026-07-05T02:31:02.682638Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:31:02.682638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.08126","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":"2026-07-05T02:31:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VBwdTJysa95duFzviywrN6OSy3m+nUeQ/Jxu0QxzlUUxsQM23qx9/ekXbOJHJyg5z/3ZHZa5yKjGvvgVhFOBAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:39:08.504903Z"},"content_sha256":"517da1b08e67d387c9c20a58b45170b0b2193b79302e4d2fb6242b2aa96ff2be","schema_version":"1.0","event_id":"sha256:517da1b08e67d387c9c20a58b45170b0b2193b79302e4d2fb6242b2aa96ff2be"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CGK35BGWCV4AHMSAUHLDSIWZXQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Experiment design for impulse response identification with signal matrix models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Andrea Iannelli, Mingzhou Yin, Roy S. Smith","submitted_at":"2020-12-15T07:11:59Z","abstract_excerpt":"This paper formulates an input design approach for truncated infinite impulse response identification in the context of implicit model representations recently used as basis for data-driven simulation and control approaches. Precisely, the considered model consists of a linear combination of the columns of a data (or signal) matrix. An optimal combination for the case of noisy data was recently proposed using a maximum likelihood approach, and the objective here is to optimize the input entries of the data matrix such that the mean-square error matrix of the estimate is minimized. A least-norm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.08126","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2012.08126/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T02:31:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ULMh6lnzJQGbMam1UT+v1jzNFwzwFvwTdIsXZ1/W1uZfohx+YWzWLovXUHs0t6eKJXxcn09aAoAtwP+VfgxCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:39:08.505818Z"},"content_sha256":"37faa0943e71474c936153b27279e590dd05cee8f84705fb28f69ea0539cc62c","schema_version":"1.0","event_id":"sha256:37faa0943e71474c936153b27279e590dd05cee8f84705fb28f69ea0539cc62c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CGK35BGWCV4AHMSAUHLDSIWZXQ/bundle.json","state_url":"https://pith.science/pith/CGK35BGWCV4AHMSAUHLDSIWZXQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CGK35BGWCV4AHMSAUHLDSIWZXQ/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":"2026-08-03T20:39:08Z","links":{"resolver":"https://pith.science/pith/CGK35BGWCV4AHMSAUHLDSIWZXQ","bundle":"https://pith.science/pith/CGK35BGWCV4AHMSAUHLDSIWZXQ/bundle.json","state":"https://pith.science/pith/CGK35BGWCV4AHMSAUHLDSIWZXQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CGK35BGWCV4AHMSAUHLDSIWZXQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CGK35BGWCV4AHMSAUHLDSIWZXQ","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":"feeea3017db10cf84652ad4e7c45ec3f5161d2d13cbc3191d7d7c0f5bf5d002a","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2020-12-15T07:11:59Z","title_canon_sha256":"36d5df72ea295929bd933d52d543500a592e27279cdeeff0a136b71d1cd52568"},"schema_version":"1.0","source":{"id":"2012.08126","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.08126","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"arxiv_version","alias_value":"2012.08126v2","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.08126","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"pith_short_12","alias_value":"CGK35BGWCV4A","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"pith_short_16","alias_value":"CGK35BGWCV4AHMSA","created_at":"2026-07-05T02:31:02Z"},{"alias_kind":"pith_short_8","alias_value":"CGK35BGW","created_at":"2026-07-05T02:31:02Z"}],"graph_snapshots":[{"event_id":"sha256:37faa0943e71474c936153b27279e590dd05cee8f84705fb28f69ea0539cc62c","target":"graph","created_at":"2026-07-05T02:31:02Z","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/2012.08126/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper formulates an input design approach for truncated infinite impulse response identification in the context of implicit model representations recently used as basis for data-driven simulation and control approaches. Precisely, the considered model consists of a linear combination of the columns of a data (or signal) matrix. An optimal combination for the case of noisy data was recently proposed using a maximum likelihood approach, and the objective here is to optimize the input entries of the data matrix such that the mean-square error matrix of the estimate is minimized. A least-norm","authors_text":"Andrea Iannelli, Mingzhou Yin, Roy S. Smith","cross_cats":["cs.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2020-12-15T07:11:59Z","title":"Experiment design for impulse response identification with signal matrix models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.08126","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":"sha256:517da1b08e67d387c9c20a58b45170b0b2193b79302e4d2fb6242b2aa96ff2be","target":"record","created_at":"2026-07-05T02:31:02Z","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":"feeea3017db10cf84652ad4e7c45ec3f5161d2d13cbc3191d7d7c0f5bf5d002a","cross_cats_sorted":["cs.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2020-12-15T07:11:59Z","title_canon_sha256":"36d5df72ea295929bd933d52d543500a592e27279cdeeff0a136b71d1cd52568"},"schema_version":"1.0","source":{"id":"2012.08126","kind":"arxiv","version":2}},"canonical_sha256":"1195be84d6157803b240a1d63922d9bc2ee2db30ee376ce893ca862eed3decbf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1195be84d6157803b240a1d63922d9bc2ee2db30ee376ce893ca862eed3decbf","first_computed_at":"2026-07-05T02:31:02.682638Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:31:02.682638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mqdyfP5+bKDTURK3ebd+XgbASa5aYONDNBiB5uw5gnbbZui7WsKL9gI5hu2mUKPqjy8dXUEQT8p10+1Ox6h2BA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:31:02.683362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.08126","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:517da1b08e67d387c9c20a58b45170b0b2193b79302e4d2fb6242b2aa96ff2be","sha256:37faa0943e71474c936153b27279e590dd05cee8f84705fb28f69ea0539cc62c"],"state_sha256":"ad67bfc96ded6dff6b536fa5c77ca98060f8c0a5fb7e30ca2804949eeef4c588"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"juSRJSpCc+nQRb7obfiz8kWj4VXvT802d/cAfFFiMQ/19hAfw6tlasXKKUT/Z6rkU81nBtaOuE0CGsgL9VwzCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T20:39:08.511614Z","bundle_sha256":"bb20e8686204b75c2266f6b52cc3e2916da60c7753b63c4b2167b91dca3e4d75"}}