{"as_of":"2026-08-08T13:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:13791604eee2f560d6671e37902a419c2745dd1e4df5d8f7bc34bd721fdae008","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T11:28:30.475239Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"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/2607.19902/citation-record","integrity":"/paper/2607.19902/integrity","json":"/paper/2607.19902/citation-record.json","paper":"/paper/2607.19902"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:28:26.028103Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.028103Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:2d0cac4b5d4e92f3dffcd3828b3fb72c181bf292816b0091a28396aa0666475f","observation_id":"d6d51e70-c74e-4e5d-9be5-de514e6657e3","resolution":{"observed_at":"2026-08-01T11:28:26.028103Z","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":"2026-08-01T11:28:26.142233Z","title":"Zhao and B","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.142233Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:64d2ecea0373db9fa0d64e1f8594af8e1098ae822d3bfe5767b9c35a68669616","observation_id":"fdcb84cd-299f-4056-8d91-3a7fffeb6d93","resolution":{"observed_at":"2026-08-01T11:28:26.142233Z","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":"2026-08-01T11:28:26.338142Z","title":"A family of robust generalized adaptive filters and application for time-series prediction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.338142Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:0ab881b2a3f6f96531895038959287abb4cfdaee57ccd801ecf81013b97be602","observation_id":"dbf30dec-bd70-4e6b-801d-698f0187e70e","resolution":{"observed_at":"2026-08-01T11:28:26.338142Z","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":"2026-08-01T11:28:26.469889Z","title":"The kernel least-mean-square algorithm,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.469889Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:11d72f0d1a8e605f58d9d2edb96a5a696941722fa10091c3e06c360d035c3ebe","observation_id":"f6b49302-3ece-4485-a534-9b7effa8e06e","resolution":{"observed_at":"2026-08-01T11:28:26.469889Z","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":"2026-08-01T11:28:26.568712Z","title":"Mean square convergence analysis for kernel least mean square algorithm,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.568712Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:a71793e68cf7a75fa7f5ea7b5d0eb3052549dff580ab79a0004e0b1770ba3a6e","observation_id":"d285416e-8ad2-492f-8b85-f1acedaf6b15","resolution":{"observed_at":"2026-08-01T11:28:26.568712Z","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":"2026-08-01T11:28:26.700058Z","title":"Mixture kernel least mean square,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.700058Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:d75f119a904e840de9b3a6399d11dcf699b61daefd484410a514964f42e3ef84","observation_id":"30f060ae-5f5f-41e3-914e-c9cc8cc28e36","resolution":{"observed_at":"2026-08-01T11:28:26.700058Z","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":"2026-08-01T11:28:26.812605Z","title":"The kernel recursive least- squares algorithm,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.812605Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:b3827fe38042bfa5bcbfbd23faa9139303e19fe70396f574f36cc62b367cceb4","observation_id":"a92953b2-1ab2-46fa-8a0a-5a1a5c0b31fd","resolution":{"observed_at":"2026-08-01T11:28:26.812605Z","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":"2026-08-01T11:28:26.941392Z","title":"Research progress on intelligent system’s learning, optimization, and control—part ii: online sparse kernel adaptive algorithm,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:26.941392Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:0370d358f7922548e2640d0948815e3fe343e2faaee991a7a427828e3a2b53db","observation_id":"f818de82-44da-402a-9a42-cdda48d11792","resolution":{"observed_at":"2026-08-01T11:28:26.941392Z","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":"2026-08-01T11:28:27.074947Z","title":"Sparse online greedy support vector regression,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.074947Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:4bd47716e17dfa51eec7a33817dbbe5b0f08ca5e25f9f9df49dcbd8759866232","observation_id":"0e17c3c1-091c-4aa4-9f8d-8c2ef6b13552","resolution":{"observed_at":"2026-08-01T11:28:27.074947Z","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":"2026-08-01T11:28:27.191190Z","title":"Quantized kernel least mean square algorithm,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.191190Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:9b632652d98195c26515849199fd2689d288a39a45d9177ee22516ce6721fb0b","observation_id":"baaf90ea-d714-4c20-9bca-0a7e34e2c5e2","resolution":{"observed_at":"2026-08-01T11:28:27.191190Z","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":"2026-08-01T11:28:27.285365Z","title":"Quantized kernel lleast lncosh algorithm,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.285365Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:076a7c55e612c081fcec4547bd30dca77b7a165d87d3c15c7c546a367f88070b","observation_id":"5b51f7ef-9fca-480d-bbd2-f5ff1d809417","resolution":{"observed_at":"2026-08-01T11:28:27.285365Z","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":"2026-08-01T11:28:27.427755Z","title":"Online learning with kernels: Overcoming the growing sum problem,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.427755Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:49336358e94b7c4020454f1a5ecbff33fa970c349b00998d2535e4f05c7a8186","observation_id":"7960a33a-02d8-4045-85a7-dd2683cd8884","resolution":{"observed_at":"2026-08-01T11:28:27.427755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02785","last_updated":"2015-06-09T05:39:02Z","snapshot_observed_at":"2026-07-06T04:20:19.775613Z","submitted_at":"2015-06-09T05:39:02Z","title":"On the Error of Random Fourier Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02785","snapshot_observed_at":"2026-08-01T11:28:27.528238Z","title":"On the error of random fourier features,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.528238Z"},"links":{"cited_paper":"/paper/1506.02785","citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:c455791fd38cb23006558cd82bc15c456d183ac6c42cbaeb1deca197e6b81668","observation_id":"635f1752-71fc-4342-8c56-f04d3b4546c4","resolution":{"observed_at":"2026-08-01T11:28:27.528238Z","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":"2026-08-01T11:28:27.637245Z","title":"Random features for large-scale kernel machines,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.637245Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:46bf33e1deed8440bd15e5a447d04c3a781e37b140931cc8eae776b81d9ca963","observation_id":"6e37abfb-01cc-4c8d-aadb-f9a8e35b2c1d","resolution":{"observed_at":"2026-08-01T11:28:27.637245Z","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":"2026-08-01T11:28:27.728534Z","title":"Online optimization with costly and noisy measurements using random fourier expansions,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.728534Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:aede73b4741c7101c9d0189a2e8c9a4b3a51d519bb3352d9aa53e359eef9b642","observation_id":"f0f13101-ff80-4e3e-af31-9b942e7f75ab","resolution":{"observed_at":"2026-08-01T11:28:27.728534Z","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":"2026-08-01T11:28:27.847862Z","title":"An improved robust kernel adaptive filtering method for time- series prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.847862Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:d8452a18511906a5818dbb0057521a58e470cb5a6926fd40271c20b8ea256e7b","observation_id":"c90bd41a-b443-47ab-8b65-af995737a1cd","resolution":{"observed_at":"2026-08-01T11:28:27.847862Z","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":"2026-08-01T11:28:27.948975Z","title":"Robust kernel recursive adaptive filtering algorithms based on m-estimate,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:27.948975Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:993e55a028ea4aa21bcb98f9a8af677033753faa4794a9e37eb7e9c61da0ecfe","observation_id":"c1057b2a-3395-4120-ab7b-08360889cd4c","resolution":{"observed_at":"2026-08-01T11:28:27.948975Z","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":"2026-08-01T11:28:28.067410Z","title":"Kernel robust mixed-norm adaptive filtering,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.067410Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:50637d3fc8b5a92de46fd0fb78737ac9ef030ecf8a15b2990d6d85b341a2ca2f","observation_id":"7c545f3b-a801-4f91-b75d-b06eade52a11","resolution":{"observed_at":"2026-08-01T11:28:28.067410Z","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":"2026-08-01T11:28:28.225017Z","title":"Kernel adaptive filtering with maximum correntropy criterion,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.225017Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:8dd12cce2a31a2726e5198de5fabc07a477794d0e5a6fdf0d1b85d24b7c38ba0","observation_id":"2ce56a07-56ef-4886-af6e-27bb879b87bd","resolution":{"observed_at":"2026-08-01T11:28:28.225017Z","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":"2026-08-01T11:28:28.332381Z","title":"Kernel least mean p-power algorithm,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.332381Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:3af8470f9e4e036187b95bbf621276bd7875acc6d7fbc6b41fa0583d14fedef2","observation_id":"51a6c0b5-a23d-4de0-acca-410b08b68333","resolution":{"observed_at":"2026-08-01T11:28:28.332381Z","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":"2026-08-01T11:28:28.434562Z","title":"Random fourier filters under maximum correntropy criterion,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.434562Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:0d785e9e90fefd436a44e147b5879f7bb0e17ba97e3dd490e2bcc661e77fd073","observation_id":"568505ef-b68f-44f1-8494-5fc8fff6fefa","resolution":{"observed_at":"2026-08-01T11:28:28.434562Z","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":"2026-08-01T11:28:28.548529Z","title":"Mixture random features spaces for robust adaptive filtering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.548529Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:c12a531ed19b244053ca7b2a324cd88c90481a11895aa26aea980ec8a1c02798","observation_id":"86f4df48-1b06-43ea-8c26-4375dba7a7e7","resolution":{"observed_at":"2026-08-01T11:28:28.548529Z","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":"2026-08-01T11:28:28.679874Z","title":"Laguerre kernel adaptive filter with arctangent criterion for nonlinear system identification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.679874Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:e7c80f69567746318d35c5e7575789104c63077bbf04b2f0db2e6620ddea6bf7","observation_id":"5db294c6-59f0-4af4-9fd3-1ec8653c8e51","resolution":{"observed_at":"2026-08-01T11:28:28.679874Z","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":"2026-08-01T11:28:28.798411Z","title":"Robust generalized maximum blake– zisserman total correntropy adaptive filter for generalized gaus- sian noise and noisy input,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.798411Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:0475c596ff5c0923b2a9a16910fd93026462faaea26bd9ead7b72cafe1dd8c95","observation_id":"4e722582-882a-4108-b277-3424761ecf64","resolution":{"observed_at":"2026-08-01T11:28:28.798411Z","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":"2026-08-01T11:28:28.852462Z","title":"Proportionate total adaptive filtering algorithms for sparse system identification,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.852462Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:cea3635821eea89e8ff16c874ddae4f42c7e2c211387b30aaa7e39fd20a76e76","observation_id":"ae751cc0-fc03-42cb-914b-87a8a7a8a6eb","resolution":{"observed_at":"2026-08-01T11:28:28.852462Z","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":"2026-08-01T11:28:28.905841Z","title":"Maximum total complex correntropy for adaptive filter,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.905841Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:727c749ce61ebbaae51a297d4517d7ceac22d9eeed8f8790beae46602db40e07","observation_id":"1bd2c872-3baa-422c-947c-15127cc74429","resolution":{"observed_at":"2026-08-01T11:28:28.905841Z","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":"2026-08-01T11:28:28.960992Z","title":"Total least squares normalized subband adaptive filter algorithm for noisy input,","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:28.960992Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:a0394baee5f0f6aa1c5a1fae30b19305376a3e82df11bee4d40f3ad4cfd407f2","observation_id":"f837e171-ff81-4eef-9ba5-4e752e9e68f7","resolution":{"observed_at":"2026-08-01T11:28:28.960992Z","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":"2026-08-01T11:28:29.068822Z","title":"A fractional-order gradient-descent total least mean p-norm adaptive filtering algorithm in impulsive noise environments,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.068822Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:edb3b68d77a64aa4d48b89a0e430cec11d418e4bebc7eeacedcca4ecf6ec325e","observation_id":"0e093e01-a366-4037-9ef3-61d09572f52a","resolution":{"observed_at":"2026-08-01T11:28:29.068822Z","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":"2026-08-01T11:28:29.153010Z","title":"Robust bias-compensated cr-nsaf algorithm: Design and per- formance analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.153010Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:c55c0cbc910848ed9c20de0d0988bbbcede34f84d169b9cef143fdbbc9bfd7e1","observation_id":"5a6fa123-5d9a-46b9-82d4-0a717b108bbe","resolution":{"observed_at":"2026-08-01T11:28:29.153010Z","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":"2026-08-01T11:28:29.200400Z","title":"Bias-compensated sign subband adaptive filter algorithm with individual weighting factors for input noise,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.200400Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:1a863b5e801aeb4aef9833a502ef84a661234b80fd19ac13c22768cf8766a0d7","observation_id":"6de8a70d-37d7-461f-9ba4-85ed08d791b0","resolution":{"observed_at":"2026-08-01T11:28:29.200400Z","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":"2026-08-01T11:28:29.329836Z","title":"A bias-compensated nmmcc algorithm against noisy input and non-gaussian interference,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.329836Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:8314754b0366681677c30c9f99bd22a8d10ed4dac6c3ec5df47110682958a9be","observation_id":"3d5ef18b-bc92-4614-881f-e4777adbff78","resolution":{"observed_at":"2026-08-01T11:28:29.329836Z","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":"2026-08-01T11:28:29.390688Z","title":"Stability analysis of the bias compensated lms algorithm,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.390688Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:4e7051613460905eaae0acf79a9edabe762a31404ad7766845188d1f42ead6d1","observation_id":"ee489671-ec31-414e-949d-b01c034dac25","resolution":{"observed_at":"2026-08-01T11:28:29.390688Z","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":"2026-08-01T11:28:29.489747Z","title":"Robust bias-compensated subband adaptive filtering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.489747Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:c2bfba874b1a580c11259f6ec3fbd97e09d8a0cb4d484fcc7b70bb66d1b19ac1","observation_id":"0da6985d-638b-4dd1-8c37-9115c9b03717","resolution":{"observed_at":"2026-08-01T11:28:29.489747Z","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":"2026-08-01T11:28:29.537101Z","title":"Bias-compensated mccc algorithm for widely linear adaptive filtering with noisy data,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.537101Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:c3f29ecde24affc252ce523730186fd81ac81b85f24eba4929f1cc621107ad18","observation_id":"15abf473-2506-4ec7-b5af-71c7f18ffb6f","resolution":{"observed_at":"2026-08-01T11:28:29.537101Z","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":"2026-08-01T11:28:29.595142Z","title":"Enhanced bias- compensated nlms for adaptive doa estimation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.595142Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:0fe99774b50ad32c058990bb735fac137dca661eadadc2c630e29b2644273e97","observation_id":"5fe577e1-ff70-453b-bb52-4c43ebe10285","resolution":{"observed_at":"2026-08-01T11:28:29.595142Z","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":"2026-08-01T11:28:29.708964Z","title":"Bias- compensated normalized maximum correntropy criterion al- gorithm for system identification with noisy input,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.708964Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:8e1cb15aee8bc72183ebc1639892cd8f40e513fd88d949d8958df9bab711df46","observation_id":"079ecf09-5031-435a-adde-9929c57b4503","resolution":{"observed_at":"2026-08-01T11:28:29.708964Z","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":"2026-08-01T11:28:29.871681Z","title":"Bias-compensated sign algorithm for noisy inputs and its step-size optimization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.871681Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:e054a9abca2de8649c46ece8d92b704b05b97c3e603ab6efac9d8a2a94916b44","observation_id":"c69448ff-e33c-4858-bef9-00a3892616cd","resolution":{"observed_at":"2026-08-01T11:28:29.871681Z","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":"2026-08-01T11:28:29.964364Z","title":"An efficient recursive total least squares algo- rithm for fir adaptive filtering,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:29.964364Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:9227d9563f5747c9d44b73e97c3ec2d847a105319fef2074a8befca25cd3d2c0","observation_id":"caa2bce8-c7de-4588-ba6c-be8a8a40e065","resolution":{"observed_at":"2026-08-01T11:28:29.964364Z","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":"2026-08-01T11:28:30.020013Z","title":"Bias compen- sation for kernel least-mean-square algorithms,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:30.020013Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:25a29c31f8dbccb7346592f31a17a9068e68b5eb9425f732d04eb7b4452f1d5e","observation_id":"6a469ec2-a8df-4d3b-bcb8-52b22bb47e09","resolution":{"observed_at":"2026-08-01T11:28:30.020013Z","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":"2026-08-01T11:28:30.081809Z","title":"Algorithm and architecture design of random fourier features- based kernel adaptive filters,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:30.081809Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:1792e9776c2a868390298f6f0c7a5d5feec94f95e7308085de7b4d8c87aa2502","observation_id":"cf28da43-e299-48a3-8f38-28b10a54b7d5","resolution":{"observed_at":"2026-08-01T11:28:30.081809Z","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":"2026-08-01T11:28:30.137530Z","title":"A general and adaptive robust loss function,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:30.137530Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:b20e8cdf4839ebe8dda45c19868be952d3a610ff19ecc39da8a9e33e95fe76c9","observation_id":"c53bcaad-4631-424c-9e47-423ca97148e6","resolution":{"observed_at":"2026-08-01T11:28:30.137530Z","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":"2026-08-01T11:28:30.210250Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:30.210250Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:7f94bb5cc2c706a90a435558170e852933ec05a362365484549a39bb90d47292","observation_id":"5fe0b03b-f043-4c37-98aa-4a3cdf516bec","resolution":{"observed_at":"2026-08-01T11:28:30.210250Z","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":"2026-08-01T11:28:30.269936Z","title":"Robust least mean logarithmic square adaptive filtering algorithms,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:30.269936Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:39b263696012686bf27ed18edcc5b5563c737a4ac3440b95963ce338acceedb2","observation_id":"b96f24f7-2036-4439-a5c1-313b370599ee","resolution":{"observed_at":"2026-08-01T11:28:30.269936Z","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":"2026-08-01T11:28:30.426513Z","title":"Correntropy: Properties and applications in non-gaussian signal processing,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:30.426513Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:79cc4a58992c5f94ad62a00bcb0640da6ab5fd5425f3a47949f5d896d0502b6d","observation_id":"806e5783-48c2-4256-89f8-1281480bf2b2","resolution":{"observed_at":"2026-08-01T11:28:30.426513Z","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":"2026-08-01T11:28:30.475239Z","title":"Predicting sun spots using a layered perceptron neural network,","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T11:28:30.475239Z"},"links":{"citing_paper":"/paper/2607.19902"},"observation_digest":"sha256:80da6ea30661193f3c5f68a676a0c6ae3f0703147902b32bf33026c92f7f3cea","observation_id":"4fc91b54-462c-4cca-89e5-f987443b4906","resolution":{"observed_at":"2026-08-01T11:28:30.475239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.19902","last_updated":"2026-07-22T08:37:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T15:50:59.649072Z","submitted_at":"2026-07-22T08:37:02Z","title":"Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":45,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":45},"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 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.19902."}