{"as_of":"2026-08-08T23:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3706e80d1bc6e75e2fd7db4813bcdab75be30e93a4370155583c8644e7d3bc6f","coverage":[{"denominator":92,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":92,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T12:43:00.712534Z","state":"measured"},{"denominator":92,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":92,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2510.02529/citation-record","integrity":"/paper/2510.02529/integrity","json":"/paper/2510.02529/citation-record.json","paper":"/paper/2510.02529"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.489177Z","title":"Numerical identification of linear dynamic systems from normal operating records","venue":null,"work_id":null,"year":1965},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.489177Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:30f55a5c3ccf6470735cda3f4545eaf89028367a4f0060a611e9de498583919e","observation_id":"42297be3-a5e7-4173-81d6-e2e7ae0c2d5b","resolution":{"observed_at":"2026-08-04T12:43:00.489177Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.492570Z","title":"A new approach to learning linear dynamical systems","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.492570Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:06341c2c011cc469c69636c49be427600e971a3d5ec40cacedf41c642cf9f513","observation_id":"73275251-a4be-4b11-aafe-e70aa04542db","resolution":{"observed_at":"2026-08-04T12:43:00.492570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.495372Z","title":"Asymptotic properties of subspace estimators","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.495372Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f710565fc3a97685d3179604b8afaab01b6dfc8b677a2e71119832578dadbcd3","observation_id":"16fbb1b6-5d15-43e0-816e-2ab98f897522","resolution":{"observed_at":"2026-08-04T12:43:00.495372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.498179Z","title":"Comparing the cca subspace method to pseudo maximum likelihood methods in the case of no exogenous inputs","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.498179Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:7042cf3925c00675233c448b5031ea96abce9208228dfd40f25eb086fadf0f84","observation_id":"8442706c-70d0-441a-a229-090d842b140a","resolution":{"observed_at":"2026-08-04T12:43:00.498179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.500978Z","title":"Consistency and asymptotic normality of some subspace algorithms for systems without observed inputs.Automatica, 35(7):1243–1254, 1999","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.500978Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:6d185517fa23912e91af32f9be4937f6aaa0ffcde4548546c7479f10d000a249","observation_id":"b6e4a98c-55b6-4722-9138-7ecfd197c2fe","resolution":{"observed_at":"2026-08-04T12:43:00.500978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.503653Z","title":"Analysis of the asymptotic properties of the MOESP type of subspace algorithms.Automatica, 36(4):497–509, 2000","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.503653Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:76aa5333ce4ca385ceb5fb36d878f5a8e47fa3d7b57e449a4201201d6a9a4b0d","observation_id":"108106dd-7e99-4316-9a22-505449b7287e","resolution":{"observed_at":"2026-08-04T12:43:00.503653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.506447Z","title":"Some facts about the choice of the weighting matrices in Larimore type of subspace algorithms","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.506447Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:07a36ac2e8698f9eb2410538c17dfd6caaf9b45f161243e2bdeac636a2bfbbe5","observation_id":"12cc1bb7-2dbc-45db-b99d-296446fa82ca","resolution":{"observed_at":"2026-08-04T12:43:00.506447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.508843Z","title":"Prediction error estimators: Asymptotic normality and accuracy","venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.508843Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:2f4fe9fa56f9d06c3c8c1358b1ad0bf31e9643476e2dd5cb7cbb48391d76efe0","observation_id":"eeab12d6-1581-4e66-862e-589340ae61fb","resolution":{"observed_at":"2026-08-04T12:43:00.508843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.511275Z","title":"On the relation between CCA and predictor-based subspace identification.IEEE Trans","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.511275Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:4f335b6d0aa207db0f81710fffcc0838f63c1b2f6b6841eb555565d88f351bd4","observation_id":"7309029b-e7fe-496b-8536-7642d367d6ba","resolution":{"observed_at":"2026-08-04T12:43:00.511275Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.513757Z","title":"The role of vector autoregressive modeling in predictor-based subspace identification.Automatica, 43(6):1034– 1048, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.513757Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:bbd764310c10cd0febb8382f7fa7ed5eae07ae64bdd13ed244cb596c7ca457d5","observation_id":"149bc953-1e02-46d4-9a3f-1b0b8b2502ff","resolution":{"observed_at":"2026-08-04T12:43:00.513757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.516237Z","title":"The asymptotic variance of subspace estimates.J","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.516237Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:5cda6bbba3eeb2d38b4dce63306a26c8ffd1aabbbcaf3c1a0cbbaccd4342b699","observation_id":"06324ded-66ff-4f05-a9ec-ebc4fe2270b6","resolution":{"observed_at":"2026-08-04T12:43:00.516237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.518719Z","title":"Consistency analysis of some closed-loop subspace identification methods.Automatica, 41(3):377– 391, 2005","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.518719Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:523c45398dd0291d2fff1b202941dc1f526a960627e6b52275393a0db2bea12a","observation_id":"adc4a398-54de-4fa3-8bc9-c8762b060284","resolution":{"observed_at":"2026-08-04T12:43:00.518719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.521411Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.521411Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f87da64461d8e0a39d7b44d773a8a3dc060577cd766e1757703e36daa444aca7","observation_id":"12ba9cca-1a6a-4d1a-9234-a624cc930a78","resolution":{"observed_at":"2026-08-04T12:43:00.521411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.524015Z","title":"Structured total least squares and L2 approximation problems.Linear Algebra Appl., 188:163–205, 1993","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.524015Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:bcf7f26d397df9444c36233c21c19335c7ba6f8b4c01937b98199e00e718ae11","observation_id":"718da5e3-3a9d-4b94-bd09-2068ffe8599e","resolution":{"observed_at":"2026-08-04T12:43:00.524015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.526615Z","title":"Least squares realization of lti models is an eigenvalue problem","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.526615Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:2819b1412da982c33ab8036da0f81d9133d6f2a19a8f85c86d32615916532c0e","observation_id":"bea836b3-1c11-46ed-96bd-75de9552bc02","resolution":{"observed_at":"2026-08-04T12:43:00.526615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.528945Z","title":"Least squares optimal realisation of autonomous LTI systems is an eigenvalue problem.Commun","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.528945Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:8ee795b47e08a446b491615f8f0199b460878c1cb6358b0a0c4829b062c8debf","observation_id":"c1690883-95e6-4415-9d7a-72b67f17e5d4","resolution":{"observed_at":"2026-08-04T12:43:00.528945Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.531328Z","title":"Consistency and relative efficiency of subspace methods.Automatica, 31(12):1865–1875, 1995","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.531328Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:865d5a229f845404f5f6d8fb77eaaad1f233ef42cdab688b37620c155289a98b","observation_id":"40acfb01-6faf-486e-94e9-2caa22deedc5","resolution":{"observed_at":"2026-08-04T12:43:00.531328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.533659Z","title":"Critical point behavior of objective functions defined on spaces of multivariable systems","venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.533659Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:aa4d2679335104a0f686b76b7d7141538116bcfb80bf183b04241ceb2b2c375c","observation_id":"0431ee41-c80d-427b-8a65-416cfa43c079","resolution":{"observed_at":"2026-08-04T12:43:00.533659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.536005Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.536005Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:5f782d4ddda2a35ac899719750c2d7d954c570c8febc5922fb8af1ec22e1081b","observation_id":"980aa9e1-13c7-4fa3-9fae-466ba1269aea","resolution":{"observed_at":"2026-08-04T12:43:00.536005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.538173Z","title":"Efficient estimation of parameters in moving-average models.Biometrika, 46(3/4):306–316, 1959","venue":null,"work_id":null,"year":1959},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.538173Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:22e77b9e2e5df855bd736f1cc1a82e065c87b35feb3d01e6fe84fd32ba48ec8d","observation_id":"21d05dc8-4790-41fa-8ec6-35421e8dc07c","resolution":{"observed_at":"2026-08-04T12:43:00.538173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.540580Z","title":"The fitting of time-series models.Revue de l’Institut International de Statistique, pages 233–244, 1960","venue":null,"work_id":null,"year":1960},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.540580Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:856b0554553f400efe818adbb1fd0c116a13d355f1f50e257ade6a1b36be29da","observation_id":"45fa20f6-8e84-44ff-9e6b-84936397b954","resolution":{"observed_at":"2026-08-04T12:43:00.540580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.542982Z","title":"Optimal least squares time- domain synthesis of recursive digital filters.IEEE Trans","venue":null,"work_id":null,"year":1973},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.542982Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:4b9bd82b98ec9bd818ac0d7c7d1a93784d173d57d99e8955fd61b2404f8e2207","observation_id":"dd2c19f8-1dd8-4e83-b5c6-f7e954fcb061","resolution":{"observed_at":"2026-08-04T12:43:00.542982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.545330Z","title":"PhD thesis, KTH Royal Institute of Technology, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.545330Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:3ffca585e1170d159ab4b3fb838e1dcb5678558225c5ffb9e055e313275924e1","observation_id":"ad29b07a-839d-4dce-b0fe-4602642abd7a","resolution":{"observed_at":"2026-08-04T12:43:00.545330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.547712Z","title":"A weighted least-squares method for parameter estimation in structured models","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.547712Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f67ffefa3a555e9e8aeb8eafcee4e8832f979fd5d47ae6dc11006a821d8f7350","observation_id":"0d60e78c-d5a1-4a6f-b58d-d978b17bd523","resolution":{"observed_at":"2026-08-04T12:43:00.547712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.550092Z","title":"Parametric identification using weighted null-space fitting.IEEE Trans","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.550092Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:7a5fa7118b2c039f9d88a10a0dd638875811df99ff7e460a9bfa950392a648e3","observation_id":"5bc6d20c-1477-4e81-93f7-3529c6ccfe9e","resolution":{"observed_at":"2026-08-04T12:43:00.550092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.552486Z","title":"Estimating models with high-order noise dynamics using semi- parametric weighted null-space fitting.Automatica, 102:45–57, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.552486Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:2e3908a72e4b2f34a48e046b0de2c113dadaf115d220900846b1328d15938626","observation_id":"2c9613c7-e011-4c6a-b556-a2e95fd358ef","resolution":{"observed_at":"2026-08-04T12:43:00.552486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.554824Z","title":"Uniquely identifiable state- space and arma parametrizations for multivariable linear systems","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.554824Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f9ddb43f020284c7fbbe3f3f935cba96deebd087175d4b04c89a83cdbb3df1af","observation_id":"28601e1a-f3b8-45bc-8e67-e48f2a382e77","resolution":{"observed_at":"2026-08-04T12:43:00.554824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.557268Z","title":"Subspace-based system identification: weighting and pre-filtering of instruments.Automatica, 38(3):433–443, 2002","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.557268Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:96516cc27958fdd8a006d81874aaae44780b192c99abf2cfed85a6d67ad213dd","observation_id":"c5cc3a9b-0304-4720-8a20-68ebe77c5d6e","resolution":{"observed_at":"2026-08-04T12:43:00.557268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.559999Z","title":null,"venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.559999Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:b73e6a8428171264b704c887f0b71ad011cb4fefb57638b3a6ab63f0bc9f91c0","observation_id":"1b8de9c8-64c5-4580-8b6b-4384809a2f30","resolution":{"observed_at":"2026-08-04T12:43:00.559999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.562290Z","title":"SIAM, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.562290Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:627d39db4e156a913a5868ac5556e506fb6cc7079ef7e9f66ae082cc857879b4","observation_id":"318407d6-04b1-4d33-a87f-c5cb4778a72b","resolution":{"observed_at":"2026-08-04T12:43:00.562290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00506","last_updated":"2026-07-07T15:04:05Z","snapshot_observed_at":"2026-07-11T23:17:18.445605Z","submitted_at":"2024-11-01T10:43:36Z","title":"Weighted Null Space Fitting (WNSF): A Link between The Prediction Error Method and Subspace Identification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.00506","snapshot_observed_at":"2026-08-04T12:43:00.564588Z","title":"Weighted null space fitting (WNSF): A link between the prediction error method and subspace identification.arXiv preprint arXiv:2411.00506, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.564588Z"},"links":{"cited_paper":"/paper/2411.00506","citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:7f3157378cbf678b279d23d6a1b23d19da35a06a73b31b618d2dd80ede9a140b","observation_id":"521b6962-d406-4034-a5d8-98666e505152","resolution":{"observed_at":"2026-08-04T12:43:00.564588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.19639","last_updated":"2025-05-26T07:58:09Z","snapshot_observed_at":"2026-08-07T14:07:32.010307Z","submitted_at":"2025-05-26T07:58:09Z","title":"Range Space or Null Space: Least-Squares Methods for the Realization Problem","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.19639","snapshot_observed_at":"2026-08-04T12:43:00.567586Z","title":"Range space or null space: Least-squares methods for the realization problem.arXiv preprint arXiv:2505.19639, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.567586Z"},"links":{"cited_paper":"/paper/2505.19639","citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:85a6c19f4fd453901866ff90be16bdf4e2daaaff9d74b9d14d3020a8543f5ecc","observation_id":"d41faa78-e1cc-4637-a675-ad3662faa991","resolution":{"observed_at":"2026-08-04T12:43:00.567586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.570233Z","title":"Finite sample analysis of subspace identification methods.arXiv preprint arXiv:2501.16639, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.570233Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:3d8c83516557f3de0ac35b4c11aebc98519ab627636c5cbd3c3086daeb9ad146","observation_id":"61a903b6-21ca-4315-8185-5247f9b62224","resolution":{"observed_at":"2026-08-04T12:43:00.570233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.572626Z","title":"A geometric approach to variance analysis in system identification.IEEE Trans","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.572626Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:d84fd166142f423bcad32e9547facbf80ca7aa086719bf0cc1a0adf3ed82f80f","observation_id":"70f5fe19-f851-4a47-8e4c-d68a270e87a6","resolution":{"observed_at":"2026-08-04T12:43:00.572626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.574914Z","title":"Effective construction of linear state-variable models from input/output functions","venue":null,"work_id":null,"year":1966},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.574914Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:66482ccf8d7c3acec62db3c099333b2d848bc2390b1aa78f30049e9a4cec5f48","observation_id":"8cc366d2-eec6-4175-9eeb-a0b07af11def","resolution":{"observed_at":"2026-08-04T12:43:00.574914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.577542Z","title":"Cambridge university press, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.577542Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:3c461c7f2b10aba5e0b227c7061a7f811afcf3b6eed116428d8dfd4f0d857dd3","observation_id":"5fd86ca7-85ed-462d-a50a-84cb91ad8a9d","resolution":{"observed_at":"2026-08-04T12:43:00.577542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.579801Z","title":"Subspace identification and ARX modeling","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.579801Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f866199629beeea7bb9bfce9c2d85a208031afd3f6a2f17147a7a200a33a59f8","observation_id":"0988bb58-834c-4526-855a-3a7af69bcc13","resolution":{"observed_at":"2026-08-04T12:43:00.579801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.582096Z","title":"A linear regression approach to state-space subspace system identification.Signal Process., 52(2):103–129, 1996","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.582096Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f6bbe0c5553ef2d7e5414855c148fe10cc61a931f387fe110d0e66583ec0da3f","observation_id":"cac1b8c5-05cd-46b7-a685-22c4f9da3503","resolution":{"observed_at":"2026-08-04T12:43:00.582096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.584321Z","title":"On consistency of subspace methods for system identification.Automatica, 34(12):1507–1519, 1998","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.584321Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:aa8014a9f0cc9320b63ed2a6453c50095852a06d4206212b1d1c468d6d470738","observation_id":"27ced1b8-9e28-4d22-b5ce-c5ca749d4d5d","resolution":{"observed_at":"2026-08-04T12:43:00.584321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.586758Z","title":"Prentice-Hall Englewood Cliffs, NJ, 1980","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.586758Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:2763ea4bb3368e45c5fca3a94a935b43bfca936c19a590ecbcef3a5ad19cebab","observation_id":"b1677fcc-7bc0-4485-8393-8cfe26c78fe8","resolution":{"observed_at":"2026-08-04T12:43:00.586758Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.589069Z","title":"Springer, 2005","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.589069Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:4b59a9e8fff13f99feb1843cbd8b245a64ba223d4b7fa1012236ffbdc6106a84","observation_id":"06e5b232-c494-4b35-a9ad-c72287761b0d","resolution":{"observed_at":"2026-08-04T12:43:00.589069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.591421Z","title":"Consistency analysis of subspace identification methods based on a linear regression approach.Automatica, 37(1):81–89, 2001","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.591421Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:144a9359a5d8f34d0cac87b0c5d80e5cc7ca20747f5b1fffb6a403baecf12d61","observation_id":"0c2576f8-3410-486b-8912-41091af8e47d","resolution":{"observed_at":"2026-08-04T12:43:00.591421Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.593728Z","title":"A new identification and model reduction algorithm via singular value decomposition","venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.593728Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:caec90d10ecc313025d4346afd5afe15860c6168eba76c7da97284bc77a463fc","observation_id":"e863d062-1dea-498e-95a7-af56fdcd0fa8","resolution":{"observed_at":"2026-08-04T12:43:00.593728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.596207Z","title":"Larimore","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.596207Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:332a64051ba04f21bf9e50bcaf97276478e74299b517aa77fa6073f496181e1e","observation_id":"fee9a9ea-2652-4f04-8ec4-58166d6e1fd0","resolution":{"observed_at":"2026-08-04T12:43:00.596207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.598642Z","title":"Statistical optimality and canonical variate analysis system identification.Signal Process., 52(2):131–144, 1996","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.598642Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:7b268919f32be56ad74198fb8a5410a836eb667c180c5c955029dfee21b3f6c1","observation_id":"2763cefd-3666-4513-9734-fcc2843ada60","resolution":{"observed_at":"2026-08-04T12:43:00.598642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.600901Z","title":"IQML-like algorithms for solving structured total least squares problems: a unified view.Signal Process., 81(9):1935– 1945, 2001","venue":null,"work_id":null,"year":1935},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.600901Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:ba62bf23b7daee572e96ff634af5ba08ea5f5dbbe5b0568d7f46d1b94178ba17","observation_id":"bd176061-bb18-4f72-b025-193d737d3064","resolution":{"observed_at":"2026-08-04T12:43:00.600901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.603289Z","title":"Interior-point method for nuclear norm approximation with application to system identification","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.603289Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:258c8edacaa92fa65846ce688fe390767777de16f2b8a8966ec89e3443d90684","observation_id":"cc2e53aa-d52e-4b78-8f3d-9ae5ad7d2f95","resolution":{"observed_at":"2026-08-04T12:43:00.603289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.605697Z","title":"On the consistency of prediction error identification methods","venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.605697Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:329a939dc89f2a3d6841abbec6a0b2783107332924d2c7010cca533ba3969c59","observation_id":"930bc70c-a470-456f-9404-8ad1e8f20b26","resolution":{"observed_at":"2026-08-04T12:43:00.605697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.608163Z","title":"Citeseer, 1995","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.608163Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:e1048a625aeb6982bf635bb8f502462a697c8caeb0a6a4a95d0036be0ddc5533","observation_id":"091f32ae-6373-47ca-bff7-adfb7c902dde","resolution":{"observed_at":"2026-08-04T12:43:00.608163Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.610544Z","title":"Prentice Hall information and system sciences series, Prentice Hall PTR, 1999","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.610544Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:6087e9159ee47a1378a689177f239a99fd3c6cb07cb23ce0d57769a52350ac19","observation_id":"a783d827-3a95-4702-9411-a6de271c1655","resolution":{"observed_at":"2026-08-04T12:43:00.610544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.612969Z","title":"Subspace identification from closed loop data.Signal Process., 52(2):209–215, 1996","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.612969Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:ed8c83d312709e505aef65fb135fe67fd9a5e0a83fe1c86158c9805c9e72039d","observation_id":"4054445a-9b8a-419a-8146-c9314b24db8a","resolution":{"observed_at":"2026-08-04T12:43:00.612969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.615390Z","title":"Asymptotic properties of the least- squares method for estimating transfer functions and disturbance spectra.Adv","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.615390Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:31382591ea9c4625bbdfbf478cf6e55e025f405f47ce9296f41f98bc72ae6a7d","observation_id":"10cdf557-e6f0-463a-9c94-c68d50ea82a8","resolution":{"observed_at":"2026-08-04T12:43:00.615390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.617776Z","title":"Overview of total least- squares methods.Signal Process., 87(10):2283–2302, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.617776Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:8170a2107208c1956a6b156e522e13b5c1b1098deb7f8345b706e42309bc5ddb","observation_id":"38892bdf-2f8c-40db-8584-696225ba8f25","resolution":{"observed_at":"2026-08-04T12:43:00.617776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.620111Z","title":"Application of structured total least squares for system identification and model reduction.IEEE Trans","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.620111Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:c5eb2196c336c3017ef5f2bb1e1af8f06290f61c1db6eef42694d1b02c8463d6","observation_id":"83d5febc-b72c-42c4-b3a1-24fa04801c8a","resolution":{"observed_at":"2026-08-04T12:43:00.620111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.622481Z","title":"Probabilistic reduced-dimensional vector autoregressive modeling with oblique projections.Automatica, 180:112476, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.622481Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:78c280ed4970bb0ff65e1ff7388865629df6f68344f7a97d53852f2445531bb6","observation_id":"33101263-a006-4995-8769-ca1b3ec31a8d","resolution":{"observed_at":"2026-08-04T12:43:00.622481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.624911Z","title":"Realizing lti models by identifying characteristic parameters using least squares optimization","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.624911Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:df5fcfb1807c8c08d42f1bc9d095fb5f9d8c47daa34eb8f43539db9c8c8b3297","observation_id":"aeae31aa-3e82-4d4c-8bea-7609928c70be","resolution":{"observed_at":"2026-08-04T12:43:00.624911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.627228Z","title":"Revisiting Ho-Kalman-based system identification: Robustness and finite-sample analysis.IEEE Trans","venue":null,"work_id":null,"year":1914},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.627228Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:9c7614020faa318e1ec8f4d61d27f5ec5b8e08f87eb943dfed7ed7280d0c00d9","observation_id":"6db1eb58-979f-4d53-9f99-54030eb8d04d","resolution":{"observed_at":"2026-08-04T12:43:00.627228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.629684Z","title":"Statistical analysis of novel subspace identification methods.Signal Processing, 52(2):161–177, 1996","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.629684Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:274515974437b232f9f83226b948b1e3b926ca466afa026c56e637472364fba5","observation_id":"cb6dda39-3d51-48fc-b6b4-b8d18b22cd6f","resolution":{"observed_at":"2026-08-04T12:43:00.629684Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.632015Z","title":"Poskitt and M","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.632015Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:1ecd404bc5aafa8b7a1d0dff1d23c1ef3d3e4068065d3a8e22825d60b6d98c81","observation_id":"0c5ca8a6-69b7-4bf7-bbc1-10bfe9b806cc","resolution":{"observed_at":"2026-08-04T12:43:00.632015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.634589Z","title":null,"venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.634589Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:1f3aabec7423e534cd42259a0b5a3d1700bdf65779ac4100d1259cb189790f87","observation_id":"3965a9c8-1cfe-4fc2-8f76-d8f27940d6f6","resolution":{"observed_at":"2026-08-04T12:43:00.634589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.637044Z","title":null,"venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.637044Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:118c36b362dd0ec5942670759700358218ad18af9be67f0adf8250b7e37990f3","observation_id":"84321a42-4179-4abb-a51c-5f1baa60b079","resolution":{"observed_at":"2026-08-04T12:43:00.637044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.639371Z","title":"An overview of subspace identification.Comput","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.639371Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:626cf4ac4d27e33285bbdf3b75af7cea699eaacd6a55ba0518b57db60be685cc","observation_id":"316e55f9-2040-4765-b531-2a5d6c635c17","resolution":{"observed_at":"2026-08-04T12:43:00.639371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.641796Z","title":"A novel subspace identification approach with enforced causal models.Automatica, 41(12):2043–2053, 2005","venue":null,"work_id":null,"year":2043},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.641796Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:2d1333ebbee090fd9b12a9d4e53f5aae22ef29382cb527fb415f258a7809bd5c","observation_id":"95aee4a9-3249-47a2-ac55-71e118c35d45","resolution":{"observed_at":"2026-08-04T12:43:00.641796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.644376Z","title":"Closed-loop subspace identification with innovation estimation","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.644376Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:28f8ba9cd9d31a98ba34a71af2243f3486e7ac3e3f7ea09d188faaea522ffa12","observation_id":"023e2bcb-2ae9-4785-9cff-6f160b0dd537","resolution":{"observed_at":"2026-08-04T12:43:00.644376Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.646924Z","title":"Reinsel, S","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.646924Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:13dfd1580277e6fc497585252c4e606d173e4379220f979dba024f72c3176d58","observation_id":"d051d173-3923-4f4f-894c-f3e8e88d6729","resolution":{"observed_at":"2026-08-04T12:43:00.646924Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.649346Z","title":"Analyzing iterations in identification with application to nonparametric H∞-norm estimation.Automatica, 48(11):2776– 2790, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.649346Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:d033b98f707f68fb0d87824a231b5d0202bb751943532a57efefadf17c0582b1","observation_id":"73ca522d-325f-4643-b03b-6f9db18e4996","resolution":{"observed_at":"2026-08-04T12:43:00.649346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.651765Z","title":"Transfer function synthesis as a ratio of two complex polynomials.IEEE Trans","venue":null,"work_id":null,"year":1963},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.651765Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f63935f2e7068ab4772bf62405039b5c9f77b42258265a21f089d4b78a9b951c","observation_id":"417814ba-e5c0-4ccd-8782-77b6af0a49e8","resolution":{"observed_at":"2026-08-04T12:43:00.651765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.654384Z","title":"Optimal identification of discrete-time systems from impulse response data.IEEE Trans","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.654384Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:739aa66f101200587f809025e2855cb9fd42c01ba14d55f4999ab5a658beba5a","observation_id":"fada72f5-6e84-440e-898a-acf740b9cbce","resolution":{"observed_at":"2026-08-04T12:43:00.654384Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.656977Z","title":"On computing the cramer-rao bound and covariance matrices for pem estimates in linear state space models","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.656977Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:0e5c103971e5e8bef169a8e076cf3758a96c07b60e2ce04378f8c47c66e2cd95","observation_id":"2e6b5515-a98b-4ec4-ae93-2758a50b099a","resolution":{"observed_at":"2026-08-04T12:43:00.656977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.659435Z","title":"Prentice Hall, 1989","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.659435Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:1d4d6b6768b1cb0e57786a9b54da1e8c99596bded54ea065605175b11ce867ef","observation_id":"7a3ac1f3-dc30-42f7-a2d2-8547e336989c","resolution":{"observed_at":"2026-08-04T12:43:00.659435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.661943Z","title":"Instrumental variable methods for system identification.Circuits Syst","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.661943Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:77e95c6fe6bcfde3eee9be06ae3cc10e32217e6f5c265ddb5be207ba24fcc374","observation_id":"190b2670-8047-4edf-a597-779ac6e3058e","resolution":{"observed_at":"2026-08-04T12:43:00.661943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.664318Z","title":"An indirect prediction error method for system identification","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.664318Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:e1282df848182e1807bbd4d66e4811643fd47bb595ddae0ab552ee7ed7b6419c","observation_id":"1cc6ffe8-9323-4edb-a3b5-bcc1158e52c3","resolution":{"observed_at":"2026-08-04T12:43:00.664318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.666838Z","title":"A technique for the identification of linear systems.IEEE Trans","venue":null,"work_id":null,"year":1965},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.666838Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:37a3656e9f5a355de7327f1505e1805ca55872abe39eddca9807b732b2f2caec","observation_id":"a10f8f1b-e0d0-49a4-aaea-339c7be5293d","resolution":{"observed_at":"2026-08-04T12:43:00.666838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.669158Z","title":"Optimal instrumental variable estimation and approximate implementations.IEEE Trans","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.669158Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:07e9151e5f71a0c217b97a2ff938a175b21d2e9f7f47c15466defa8be26a80ad","observation_id":"488e484a-f4b1-44f8-8114-e1404cdba406","resolution":{"observed_at":"2026-08-04T12:43:00.669158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.671549Z","title":"Weighted ls and tls approaches yield asymptotically equivalent results.Signal Process., 45(2):255–259, 1995","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.671549Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:97065203bfb6406c967c7df25f45d320fe47642abe6da6f6ad53096ca72bee97","observation_id":"09bc13e1-efa2-497f-89de-84beef2463d8","resolution":{"observed_at":"2026-08-04T12:43:00.671549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.674170Z","title":"A subspace fitting method for identification of linear state-space models","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.674170Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:0caf3747db8ed6d12694b3786bc31d644e82c4e0eb8e44289d344a2b344cd351","observation_id":"27142bb2-61bd-4b15-92d6-aa5ad0d36a61","resolution":{"observed_at":"2026-08-04T12:43:00.674170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.676639Z","title":"Finite sample analysis of stochastic system identification","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.676639Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:d3276fb86ccdc5767a415c14a633357f5a74b3924593baaa461ea47f7caa12c5","observation_id":"4bba7518-8b3f-4c3a-9850-78f611fd96dd","resolution":{"observed_at":"2026-08-04T12:43:00.676639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.679095Z","title":"Closed-loop subspace identification methods: An overview.IET Control Theory Appl., 7(10):1339–1358, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.679095Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:636919a44e2807d6c73a30d17eb9a1bc26aafcc1f6bebbd5561995e637d894b6","observation_id":"b9ced29f-5a33-4a9d-ac83-2d7121b07fd7","resolution":{"observed_at":"2026-08-04T12:43:00.679095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.681496Z","title":"On-line structure selection for multivariable state-space models.Automatica, 18(5):529–543, 1982","venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.681496Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:49dd7c09496315bb752ea87a4be787e4454b491e673cc06b65d221cf20ffdc63","observation_id":"29976a3d-3d2a-4dfa-a800-1d1745da513f","resolution":{"observed_at":"2026-08-04T12:43:00.681496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.683864Z","title":"N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.683864Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:22649d252ac7f6ab9315352c15ab1775c64d05dd4e3c8b41bccbcb2cccc24384","observation_id":"ae6c192f-4a1b-4da7-a187-4c6f78caea72","resolution":{"observed_at":"2026-08-04T12:43:00.683864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.686162Z","title":"A unifying theorem for three subspace system identification algorithms.Automatica, 31(12):1853– 1864, 1995","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.686162Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:74f0a603e8d61bc2e6b9e8158a65704225ac3968f7f104cc52d376b4384e7c91","observation_id":"6c478cfb-bb94-485d-ab7d-8512dc4bb063","resolution":{"observed_at":"2026-08-04T12:43:00.686162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.688775Z","title":"Springer, 2012","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.688775Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:f2321498d2010157d0d04d6ecf45420e7fa8e1a0ad545c592b21e8cfd888fc86","observation_id":"020b1ea2-698e-4fd7-b444-b67c17bf0b4d","resolution":{"observed_at":"2026-08-04T12:43:00.688775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.691049Z","title":"Subspace model identification part I: the output-error state-space model identification class of algorithm.Int","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.691049Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:a4a52235f9c06317e811d4f78945c7c4a5600dc140faf9d46fbc8e1244c820a5","observation_id":"841a92ab-dc69-4761-8b63-4e8296a4688f","resolution":{"observed_at":"2026-08-04T12:43:00.691049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.693525Z","title":"Application of a subspace model identification technique to identify LTI systems operating in closed-loop","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.693525Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:5ec4b2ef0e244194a465e2ab61e75b3f901d27b5af4888eb47b3bd6786f26cdf","observation_id":"3109daf0-b657-4f48-896d-16a950f3302d","resolution":{"observed_at":"2026-08-04T12:43:00.693525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.695794Z","title":"Analysis of state space system identification methods based on instrumental variables and subspace fitting.Automatica, 33(9):1603–1616, 1997","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.695794Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:a2586766fefb97cedf0c94dbd0ce281aecb3ee6a8101d9b5d808bcd2fb74f96e","observation_id":"f911ebbe-dcef-4b60-9a5c-ae7292a3d1ea","resolution":{"observed_at":"2026-08-04T12:43:00.695794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.698156Z","title":"Model reductions of high-order estimated models: the asymptotic ml approach.Int","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.698156Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:659425b88d1e92553ff4b8535a49c4394551a06899b40a8715c6b75272161f40","observation_id":"246901c5-26d3-4f72-8721-15fffe14ff3f","resolution":{"observed_at":"2026-08-04T12:43:00.698156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.700460Z","title":"Perturbation theory for pseudo-inverses.BIT Numerical Mathematics, 13:217–232, 1973","venue":null,"work_id":null,"year":1973},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.700460Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:08b9f5b937c788309ad90cd5bb506da54f84299027cd165d16268f1c9cb956f1","observation_id":"1b174d83-fc11-4de4-9f8a-b4c2f404431d","resolution":{"observed_at":"2026-08-04T12:43:00.700460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.702824Z","title":"The determination of optimum structures for the state space representation of multivariate stochastic processes.IEEE Trans","venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.702824Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:91117a61764b686c7541a0080323d36916a88e60854725ca534850ec12add5b0","observation_id":"64712a2d-6294-43da-abd6-6a184e0115c9","resolution":{"observed_at":"2026-08-04T12:43:00.702824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.705228Z","title":"The refined instrumental variable method.Journal Européen des Systemes Automatisés, 42(2-3):149–179, 2008","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.705228Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:ad6a5a802d27d91020121229d5f4b938e88a913e2e6fcf4a6476fc7eab29760e","observation_id":"995ee2ef-bd09-4dfe-a4dd-13cc13ad8256","resolution":{"observed_at":"2026-08-04T12:43:00.705228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.707597Z","title":"Constrained subspace method for the identification of structured state-space models (COSMOS).IEEE Trans","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.707597Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:626c1b0d25f6f34070ad514c73c3cca4d66321962f82a9c42c566470f5e9c0c0","observation_id":"56600abb-b683-43b2-8ee3-bb745f7e6573","resolution":{"observed_at":"2026-08-04T12:43:00.707597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.709925Z","title":"Wiley, 1971","venue":null,"work_id":null,"year":1971},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.709925Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:253ffcbd5df494470111741f4427d371bbef91dac0982e6b04147e030f6be535","observation_id":"9400e2b4-dee7-416b-97b4-5ab83b178d92","resolution":{"observed_at":"2026-08-04T12:43:00.709925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T12:43:00.712534Z","title":"uk ek # =   − L(θ) F(θ)A(θ) Vnx − 1 F(θ) Vnx 1 A(θ) Vnx 0 0 1 A(θ) Vnx  ","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:00.712534Z"},"links":{"citing_paper":"/paper/2510.02529"},"observation_digest":"sha256:9b28de887452e94635b8ac978045b8d60f9e1c5c9d617076ea0005ca46429650","observation_id":"683d5073-470a-4cf5-b8a0-ad2f655e1ab9","resolution":{"observed_at":"2026-08-04T12:43:00.712534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2510.02529","last_updated":"2026-07-07T14:35:30Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-08T11:36:07.624824Z","submitted_at":"2025-10-02T19:58:25Z","title":"Bridging the Prediction Error Method and Subspace Identification: A Weighted Null Space Fitting Method"},"reference_resolution":{"displayed":92,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":92,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":92},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2510.02529."}