{"as_of":"2026-08-09T16:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7ecc1157df0f7b9792d2094e3868c6d51a2e1e471c08e28f65ad80769379b2b","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:06:54.970449Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2506.03650/citation-record","integrity":"/paper/2506.03650/integrity","json":"/paper/2506.03650/citation-record.json","paper":"/paper/2506.03650"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:07:00.183134Z","title":"Ljung, System Identification: Theory for the User , ser","venue":null,"work_id":"17f40735-5dda-46a0-bec7-aa614eeff33a","year":1999},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.823068Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:7cdfb6eba8759c1e6a19181d2a1a829d0c55d5fb6b3f63e983d204f5d061722c","observation_id":"a13e6c79-f976-461f-8a13-64e84c87d597","resolution":{"observed_at":"2026-08-07T11:07:00.243604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:07:00.010095Z","title":"On the choice of sampling rates in parametric identification of time series,","venue":null,"work_id":"ea8408c4-758f-4363-9828-30bf11ef24ae","year":1969},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.828868Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:cf34e31b9a82aa542426cc9979cc9f568c22bc3a5747249abebbc3119f93cc8c","observation_id":"f7307e6b-b89c-47ea-93ac-60d2186b54b8","resolution":{"observed_at":"2026-08-07T11:07:00.101808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:59.816274Z","title":"Improved finite word length charac- teristics in digital control using delta operators,","venue":null,"work_id":"95988b64-0749-43f5-9be9-9e15e7f2686b","year":1986},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.833653Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:c07674e3c4d5fde3b92968a138add0dc7b806945245f213f1dde5cffd80ea3a2","observation_id":"b277b556-535a-47bd-af92-e6ac95556a8d","resolution":{"observed_at":"2026-08-07T11:06:59.905202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:59.658262Z","title":"Garnier and L","venue":null,"work_id":"e1dccb02-c037-42c4-88ac-5536d71d6b26","year":2008},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.839004Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:63b5eb3716cdd05b337470b7e39112ae4f65607fbb57d5dec8eb54dd7e792620","observation_id":"97aebe1f-43c9-412a-935f-39f5fcdb9c70","resolution":{"observed_at":"2026-08-07T11:06:59.748443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:59.482834Z","title":"What does continuous-time model identification have to offer?","venue":null,"work_id":"0f985eeb-154a-4645-b5d2-2aab980c05d2","year":2012},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.843864Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:ba12a410325957e797d794db3e9b4ff18b44258cf5fe7b518b1e33ed32375eae","observation_id":"d53457fc-37b5-4e8e-a2a3-4a14bf3fe4e2","resolution":{"observed_at":"2026-08-07T11:06:59.568916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:59.298211Z","title":"Closed-loop identification revisited,","venue":null,"work_id":"dc9760ea-0d2e-4fc4-a1fc-de1af3f37e2b","year":1999},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.854171Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:e978c41be7f85b18422bd8335e0d5e81ee6ac1b6cd56d9fd4f498fff153c5595","observation_id":"6b760156-2cf8-4c7b-a8f5-936efd9d90ab","resolution":{"observed_at":"2026-08-07T11:06:59.381956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:59.104461Z","title":"Identification of unstable systems using output error and Box- Jenkins model structures,","venue":null,"work_id":"f29d85fd-e0aa-44a4-abab-0fb8a9f5de39","year":2000},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.858846Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:99974678e8aa58ecc8a136ff89a3bc879537ee72f5fd04e42121d2c825340a41","observation_id":"327429db-ee4b-4943-9a06-1168a4a10ea3","resolution":{"observed_at":"2026-08-07T11:06:59.192658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:58.848339Z","title":"Closed-loop identification via the fractional representation: Experiment design,","venue":null,"work_id":"d8898de5-e3ea-4808-8872-6fefc1aa6e56","year":1989},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.863448Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:994ba546675ba5816b96aa06339248106f5e7a31924a1308b11bbcf2a591c946","observation_id":"ebf6efe0-9c0d-4a1d-b58e-86256917d14e","resolution":{"observed_at":"2026-08-07T11:06:58.973036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:58.669099Z","title":"A virtual closed loop method for closed loop identification,","venue":null,"work_id":"5ecce3bb-7bd9-4a36-9483-5b85285cba26","year":2011},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.868204Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:07c8e14d348da5631c773ddb9de31f7b4de1f1586945e672936ee4b28882cbf7","observation_id":"206efab0-cbc7-4beb-a742-47b932d95372","resolution":{"observed_at":"2026-08-07T11:06:58.759596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:58.485028Z","title":"A simple framework for identifying dynamical systems in closed-loop,","venue":null,"work_id":"ce183896-4864-4f5e-8724-95afab6856ce","year":2021},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.872821Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:4b681eeb482e53b30035613958e7e0ae40234d83e477277c5cfdfc3ee39c6b42","observation_id":"30edec55-7b64-449a-933f-9fe2f4bff612","resolution":{"observed_at":"2026-08-07T11:06:58.568161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"pii/0165168","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:55.242297Z","title":"Subspace identification from closed loop data,","venue":null,"work_id":"17287b53-18e1-4485-ab0f-75dc25d23214","year":1996},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.877876Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:1c90520c913deebe2fb389d9b2b89671f188f8a8db94dc77d6df292475c6c4cb","observation_id":"1f4f6e2d-358f-482b-a330-15d256ea18d4","resolution":{"observed_at":"2026-08-07T11:06:55.348971Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:58.233362Z","title":"An overview of subspace identification,","venue":null,"work_id":"583c2e67-c1b9-4f63-bae8-0205108c99c5","year":2006},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.882237Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:6a2f57acc4e074fc31d5a5dbb05d0703d51366ee1fa47ebcb192d40fa26680ce","observation_id":"ecdbccd4-af39-427c-ad0d-cc839a12808a","resolution":{"observed_at":"2026-08-07T11:06:58.353641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2012.0653","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:55.128419Z","title":"Closed-loop subspace identification methods: an overview,","venue":null,"work_id":"65bdadb3-1d18-4b66-bac7-ca25d379b810","year":2013},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.887038Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:47ecc602b9f2cce5f50cc3508fd291fef497b3c6a3254bff3c71bcfccb489a0b","observation_id":"782e3be1-73d1-4f82-a5a4-fd1b8e676e9a","resolution":{"observed_at":"2026-08-07T11:06:55.138781Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:58.072786Z","title":"Minimal realization of an unstable plant under feedback,","venue":null,"work_id":"e19fa8f0-4297-4aef-a065-6101c3a81a5c","year":2021},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.891647Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:45d9b7e027209e681b42595a2b83b736ff5bce0fd81da38687f505dff4abcf1b","observation_id":"42bf19ef-f7c6-4a0e-a8e4-ff0ebadcadb9","resolution":{"observed_at":"2026-08-07T11:06:58.144266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:54.896304Z","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":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.896304Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:24044b79fd74094fa2d4d0af5dc1268e38299735c12e2a054d177575affce015","observation_id":"8bc8cbc0-0727-4b04-a14b-907b1d4c4d8e","resolution":{"observed_at":"2026-08-07T11:06:54.896304Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:57.833047Z","title":"Subspace identification of closed loop systems by the orthogonal decomposition method,","venue":null,"work_id":"48903a42-dddb-4e42-99e7-2ff1afb92039","year":2005},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.900873Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:bd2c9662c8934b9fe2a4380945d4be4ed0cb3e099529f2daf976834d843fcc2f","observation_id":"0b965c6f-7a68-4525-9769-289c80bd110b","resolution":{"observed_at":"2026-08-07T11:06:57.914380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:57.664135Z","title":"Closed-loop subspace identification with innovation estimation,","venue":null,"work_id":"e969873a-e234-4ef6-aab6-068707bc1259","year":2003},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.905634Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:b22944227216e8cccb8e323678194a443dd364d30f57881c73c1e37632f4dafa","observation_id":"bff7e02d-c090-4456-8f47-572beba65694","resolution":{"observed_at":"2026-08-07T11:06:57.742064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:57.474971Z","title":"MOESP-type closed-loop subspace model identification method,","venue":null,"work_id":"900511a4-d3ae-41e4-a346-630bc3324d3d","year":2006},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.910204Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:093fd93a2a63c49dbc8eac15180210020ab2ae7fb1f7cad8e70cccde68e14c1b","observation_id":"f2981f65-5da9-43a3-88b9-2e3a903fa570","resolution":{"observed_at":"2026-08-07T11:06:57.572028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:57.303059Z","title":"An approach to closed-loop subspace identification by orthogonal decomposition,","venue":null,"work_id":"0c445bdb-7640-4af2-b320-6fd02b37c5ef","year":2007},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.915041Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:56337d14bdb7481c48a4e99319498e28580daa56237de79e7ed3bd45dd0ca493","observation_id":"14188c06-5874-48b9-bba9-40edf4a9d444","resolution":{"observed_at":"2026-08-07T11:06:57.393541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:57.140121Z","title":"On consistency of output-error closed-loop subspace model identification for systems compensated by general LTI controllers,","venue":null,"work_id":"06b8ce19-fd22-4be3-8575-95528be71fa1","year":2021},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.919618Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:a3a9da0a02dd2a469fb1faa69074c009af0841496e294ae410738ba46075ccbc","observation_id":"12432a58-52a2-41e5-a6d0-48057e372e11","resolution":{"observed_at":"2026-08-07T11:06:57.217182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:56.986254Z","title":"Subspace identification and ARX modeling,","venue":null,"work_id":"97b4f719-f666-40a5-a565-b4d92b655d55","year":2003},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.925211Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:5c2e18b63c8118dcb057fa312cd0c0269cc8fb96623c9e7144e2fbd0679fdc9d","observation_id":"7df1fac1-045d-4be2-9db5-3624677c7646","resolution":{"observed_at":"2026-08-07T11:06:57.057029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:56.819347Z","title":"Consistency analysis of some closed-loop subspace identification methods,","venue":null,"work_id":"3ba56e8a-9f4d-4056-83cf-310e6345c30e","year":2005},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.929928Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:c00cca66a2026d078b27f488159ff93e1b02ac1a411e0333e2d71cec1d3a94d4","observation_id":"c8daf782-bd76-494b-a793-99cb731cb365","resolution":{"observed_at":"2026-08-07T11:06:56.900135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:56.691125Z","title":"A rank minimization heuristic with application to minimum order system approximation,","venue":null,"work_id":"70e4edf3-4d74-4d3c-b751-82705051e8dd","year":2001},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.934803Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:cc33a60fbf0756e6f574fbf5fad90039959ebe279a10496238ccc042328019a4","observation_id":"e3c5e789-40e8-4dcb-ba83-bdcb164d8468","resolution":{"observed_at":"2026-08-07T11:06:56.753175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1137/110853996","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:55.003179Z","title":"Hankel matrix rank minimization with applications to system identification and realization,","venue":null,"work_id":"66dffe54-32fd-4922-9109-3165971d70c7","year":2013},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.940333Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:ea057f3c59f32ff378eeec1247bb819231947aecd0d0bfa6942d0876e8192cfd","observation_id":"21817a74-59d5-4ab1-a710-cb02c62c0df1","resolution":{"observed_at":"2026-08-07T11:06:55.012480Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:56.590501Z","title":"Nuclear norm system identification with missing inputs and outputs,","venue":null,"work_id":"f0e93620-d10f-4312-a919-de09d89e5c9b","year":2013},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.945631Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:ba2f7ac76b88cd01103ecd8ff73e39fe30c79f9c153f6306e1d2736a81614a43","observation_id":"4e96d45e-0f74-4b25-b160-50354f1142af","resolution":{"observed_at":"2026-08-07T11:06:56.648502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:56.362710Z","title":"Frequency domain subspace identification using nuclear norm minimization and hankel matrix realizations,","venue":null,"work_id":"f68f1c91-faf7-4d54-a709-5707ea8f5b7e","year":2014},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.950410Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:bdb0f1e2ff8b2a7a69eb41a2bee75a585b4fc6fe81a0900114a0fe2219ad6349","observation_id":"37d2149c-f30f-4b04-b382-4b5b7d98c748","resolution":{"observed_at":"2026-08-07T11:06:56.467966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:56.137856Z","title":"N2SID: Nuclear norm subspace identification of innovation models,","venue":null,"work_id":"85e27974-cbb2-4983-abf5-0b649ac5aa5d","year":2016},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.956253Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:44b238cf448bfc3fa627dd163f1718fd4f2968b2b8acffba87c8e528b4399e83","observation_id":"4225e94e-f79c-4f71-85c1-e413c7c50faf","resolution":{"observed_at":"2026-08-07T11:06:56.245266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:55.928109Z","title":"Nuclear norm-enhanced recursive subspace identification: Closed-loop estimation of rapid variations in system dynamics,","venue":null,"work_id":"c8592aa2-30aa-4a34-acef-2cdf8fa59787","year":2016},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.960878Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:c1ad26529fc35dc3d133bc1624ae685b16c2fce6a4af90fc72efa4e0cab39b07","observation_id":"2748a636-ea57-4bc7-8946-8c825199ca1f","resolution":{"observed_at":"2026-08-07T11:06:56.021499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:55.690207Z","title":"Direct closed-loop identification of continuous- time systems using fixed-pole observer model,","venue":null,"work_id":"881161b3-e629-42d5-9998-fd88ad1df7f3","year":2022},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.966085Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:e379c4d5a870c4f809092eb2bb7cf259fa6769d63efb9aa638ed4767fb1eaa48","observation_id":"6b86b9f7-7559-4adf-a0b2-32582c51faf2","resolution":{"observed_at":"2026-08-07T11:06:55.832138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:06:55.500439Z","title":"Frequency domain uncertainty and the graph topology,","venue":null,"work_id":"6cbb2959-c9bb-4b7f-b5aa-fa88264561f5","year":1993},"citing_paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:06:54.970449Z"},"links":{"citing_paper":"/paper/2506.03650"},"observation_digest":"sha256:ba32467151029133d4bc6b755982066dc4d6f00d53be8ddb564739a26cdf6dc5","observation_id":"1a500a85-a5be-4c54-baa3-1b310e037a0d","resolution":{"observed_at":"2026-08-07T11:06:55.568387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.03650","last_updated":"2025-06-04T07:42:56Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-09T03:41:28.307799Z","submitted_at":"2025-06-04T07:42:56Z","title":"Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":3,"verified_fuzzy":26},"total_outbound_references":30},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.03650."}