{"as_of":"2026-08-15T15:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8ef4639c53b3492173846cb0c04552a4f29c5d48fcbf4cbf1ad10557122ddc44","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:43:13.413029Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1908.08616/citation-record","integrity":"/paper/1908.08616/integrity","json":"/paper/1908.08616/citation-record.json","paper":"/paper/1908.08616"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:43:13.785044Z","title":"UCI machine learning repository, 2007","venue":null,"work_id":"af9fcdf3-aae6-4179-ad7f-50fdd3e7eec9","year":2007},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.293773Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:19e3e215eef0367407f0616e40713103577c82ddeacdcaf9acc6897d9de0dddf","observation_id":"001908c8-ae74-4394-b395-9f7916fb0152","resolution":{"observed_at":"2026-08-14T11:43:13.788675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.773860Z","title":"Quadratickernel-freeleastsquaressupportvector machine for target diseases classification.Journal of Combinatorial Optimization, 30(4):850–870, 2015","venue":null,"work_id":"e45e282a-3624-4fd3-bd3e-2d39c82b78ac","year":2015},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.297804Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:3bdd2a648a38976fa41758739735ae9ce66535e6fc9502fb25d27f30fd085113","observation_id":"01de90e0-2cf9-46c7-b879-d84d994440e3","resolution":{"observed_at":"2026-08-14T11:43:13.777808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.301468Z","title":"Nonlinear programming","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.301468Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:27bea8f2b5ee453a6a7b7f9320d7e500325648344b62cc98431db4f1506d2870","observation_id":"4df13c8c-6c7e-48f2-83dc-7d776cbefe27","resolution":{"observed_at":"2026-08-14T11:43:13.301468Z","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":"2026-08-14T11:43:13.756048Z","title":"Springer Science & Business Media, 2010","venue":null,"work_id":"c26e9615-5fa1-4ea5-b02a-23f8c0178cec","year":2010},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.305034Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:ab77650a3db0ffeb7c7400cf79f21a91523bc1377385cd52cea779addcfeeace","observation_id":"29ed26cd-7d92-459f-8ec1-eb8300916752","resolution":{"observed_at":"2026-08-14T11:43:13.759965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.308976Z","title":"Support-vector networks.Machine learning, 20(3):273–297, 1995","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.308976Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:d975e7a052e544ea7fe1c45fa32b0bbe5ca023631581036bb8fa5d7da7be5c46","observation_id":"59fdb6e0-933d-43f4-81fe-17fbf95a88ce","resolution":{"observed_at":"2026-08-14T11:43:13.308976Z","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":"2026-08-14T11:43:13.739385Z","title":"Cambridge university press, 2000","venue":null,"work_id":"a59d1621-3e2a-4439-b465-c807215457db","year":2000},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.312635Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:591200d538adb9945a7c0bb80f1e549c279c26719f1db1a7cfe101c399d648d8","observation_id":"dfce2c56-be24-478d-9aae-a463cb2e73d4","resolution":{"observed_at":"2026-08-14T11:43:13.743043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.728763Z","title":"Quadratic kernel-free non-linear support vector machine.Journal of Global Opti- mization, 41(1):15–30, 2008","venue":null,"work_id":"42e3ff04-58cf-470b-9460-82ce9ba049a0","year":2008},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.316643Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:76b90f36f5ff99035d8cb191bc0a2021801fa1d579117d92111a853b2836b591","observation_id":"1584c711-1b9f-4ffe-9068-e4deea1dd163","resolution":{"observed_at":"2026-08-14T11:43:13.732687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.718063Z","title":"A generalized approach to sparse and stable portfolio optimization problem","venue":null,"work_id":"f61135e1-066c-4a6f-82d9-f8f8212ebd68","year":2018},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.320469Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:5f6dc23d45968bfe2e356bf709eb98c636999206c5cc80bb00bb77535506cdcb","observation_id":"ca162d1b-1978-476a-be28-9934eeaff757","resolution":{"observed_at":"2026-08-14T11:43:13.722092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.707173Z","title":"Chapman and Hall/CRC, 2012","venue":null,"work_id":"b560ba2f-dbbc-414c-81e2-892e578c184a","year":2012},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.324105Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:b495f15be47facff1dfea4f0501193d549c892fa3342dfd25da9b5906486674c","observation_id":"04114bf3-968c-411d-add8-324c7ac63574","resolution":{"observed_at":"2026-08-14T11:43:13.710777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.698023Z","title":"Asurveyofmachinelearninginwirelesssensornetworksfromnetworking and application perspectives","venue":null,"work_id":"0d0090ef-441f-4ed5-96f7-2e9ebd99192e","year":2007},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.327792Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:f3cf54d4154b31bd1a6ffa762227eab8623392bd26ef81727bd90fd8f077cf4c","observation_id":"400477a6-f684-4082-9bdc-182c81fd6f2c","resolution":{"observed_at":"2026-08-14T11:43:13.700798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.689478Z","title":"Schur complements and applications","venue":null,"work_id":"1c655c23-0676-445c-8c45-04152c844f4e","year":2011},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.331120Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:7daf4458854f2361eb166abc12befb802c7f0bf14f19dc915f1822c5da872afa","observation_id":"68fe4696-3fd8-4961-9f6a-c97b55198097","resolution":{"observed_at":"2026-08-14T11:43:13.692308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.680601Z","title":"A kernel-free double well po- tential support vector machine with applications","venue":null,"work_id":"7bb2a999-feb6-4c57-895f-3bcb1f98b701","year":2020},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.334482Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:eebd5f1daef034dd7c1544be6342d63b30f2235a0329146cf84cc441c2a7d2dd","observation_id":"8b5cca8a-ba66-480b-a511-f12fe881c871","resolution":{"observed_at":"2026-08-14T11:43:13.683892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.670425Z","title":"Rescaled pure greedy algorithm for convex optimization","venue":null,"work_id":"aed2da03-8982-4116-bdc3-ea00fef440fc","year":2019},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.337994Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:3da3a6f457ba74b1b4a78697526fba7c2747a35b38e80a45ae064cf2082918d2","observation_id":"f5d15da4-7a07-4014-809f-b3a8cda94ae4","resolution":{"observed_at":"2026-08-14T11:43:13.674074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.659760Z","title":"High dimensional data classification and feature selec- tion using support vector machines.European Journal of Operational Research, 265(3):993–1004, 2018","venue":null,"work_id":"23fb4427-1a60-4b8c-bd18-39e4ea84aecf","year":2018},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.342049Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:2e168af5674e0b740145ee80a1a03b9f734d47aa0c9937f4a334d7565ec90350","observation_id":"7fb4c357-f480-41aa-a40f-54ed07a8e14b","resolution":{"observed_at":"2026-08-14T11:43:13.663648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.649550Z","title":"A new method on gene selection for tissue classification.Journal of Industrial and Management Optimization, 3(4):739, 2007","venue":null,"work_id":"7a6937d4-1c84-4b58-ae32-e03f9fb2170b","year":2007},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.344906Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:272fd22e42cb27c19f93d72b1bf1aa658e93bb359f5549b0da947715fa9a087c","observation_id":"b3d8caf2-d453-485c-b21c-00028d5d25a5","resolution":{"observed_at":"2026-08-14T11:43:13.653163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.639102Z","title":"Complexity measures of supervised classification problems.IEEE Transactions on Pattern Analysis & Machine Intelligence, (3):289–300, 2002","venue":null,"work_id":"eb2e56d1-5bf3-4974-af68-bad783b7f98a","year":2002},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.347635Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:07e16245acc1bae503e79efdbc819a83e5cd5d94b87fc60d2edadc51e1822968","observation_id":"8ab609ef-1f5d-47b3-b705-a2b0014e3105","resolution":{"observed_at":"2026-08-14T11:43:13.642896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.628913Z","title":"Solution existence and stability of quadrat- ically constrained convex quadratic programs.Optimization Letters, 6(2):363–373, 2012","venue":null,"work_id":"9db9fe95-70ba-42be-8906-0eabd4ffd10b","year":2012},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.350500Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:9f8bb23f77beee3abe28dffe0eed3d016266d4bf86b2b106e34257857ccb5e12","observation_id":"ba6e75b7-cc08-493f-82cd-660b13ee0858","resolution":{"observed_at":"2026-08-14T11:43:13.632564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.618682Z","title":"Applications of machine learning and rule induction.Com- munications of the ACM, 38(11):54–64, 1995","venue":null,"work_id":"fd60eccb-d1a1-447f-8720-0b58067c0c77","year":1995},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.353409Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:835e4309866bb73ace2510e5a23b9df46e3e526bbffce8672aaf88ff399277c9","observation_id":"8a150fc4-3ba6-4704-b030-86c8623a3e0a","resolution":{"observed_at":"2026-08-14T11:43:13.622393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"0903.1468","last_updated":"2009-03-09T00:54:46Z","snapshot_observed_at":"2026-08-15T05:53:23.577346Z","submitted_at":"2009-03-09T00:54:46Z","title":"Taking Advantage of Sparsity in Multi-Task Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0903.1468","snapshot_observed_at":"2026-08-14T11:43:13.356121Z","title":"Taking advantage of sparsity in multi-task learning.arXiv preprint arXiv:0903.1468, 2009","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.356121Z"},"links":{"cited_paper":"/paper/0903.1468","citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:693ab114ba4cf9acc035f74dfba7eb1b94516ed64a7418e39e314866a0a890b2","observation_id":"15e9ebf7-bebd-433f-b94d-2e4125db6663","resolution":{"observed_at":"2026-08-14T11:43:13.356121Z","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":"2026-08-14T11:43:13.608790Z","title":"Fuzzy quadratic surface support vector machine based on Fisher discriminant analysis.Journal of Industrial and Management Optimization, 12(1):357–373, 2016","venue":null,"work_id":"73042169-64a0-48cf-9a72-7771aafca424","year":2016},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.360010Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:9a96120a34338da4a188b8f9037d08089512dec154661d6a219bc1a79f232bc3","observation_id":"bcc4d410-cb21-4fbd-a809-a0b27db05866","resolution":{"observed_at":"2026-08-14T11:43:13.612652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.598210Z","title":"Softquadraticsurfacesupportvector machine for binary classification.Asia-Pacific Journal of Operational Research, 33(06):1650046, 2016","venue":null,"work_id":"852291b6-d661-4ab7-815c-b2e1b2005e92","year":2016},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.363799Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:fab882ef116cccdda4231409382f405c817f1e994c08d5ecc611e0a71a007ad8","observation_id":"2714147a-334c-4e9f-8847-3a2378dfaedc","resolution":{"observed_at":"2026-08-14T11:43:13.601976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.587426Z","title":"Benchmarking robustness of load forecasting models under data integrity attacks.International Journal of Forecasting, 34(1):89–104, 2018","venue":null,"work_id":"0dbfa25e-9e9f-4dc4-9d15-d469dd71a587","year":2018},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.367449Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:242c8d334f09d221c06a9d426899ecbceb9576525b484ce4982e2a2829ad2145","observation_id":"353d3a4a-8f48-4da2-a1a8-718d9f5c148f","resolution":{"observed_at":"2026-08-14T11:43:13.591186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.575988Z","title":"The elimination matrix: some lemmas and applications.SIAM Journal on Algebraic Discrete Methods, 1(4):422–449, 1980","venue":null,"work_id":"158c8c9e-49c4-4d41-ac0e-fa97dd9d40b9","year":1980},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.370941Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:acf3ae69ded168b6213db45d0ee865e96ce739ffcf7830b632e6e4b7d567fb3c","observation_id":"d0af8784-acb6-4427-b102-02b79ee761ed","resolution":{"observed_at":"2026-08-14T11:43:13.579904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.564820Z","title":"Uniqueness of solution in linear programming.Linear Algebra and its Applica- tions, 25:151–162, 1979","venue":null,"work_id":"eed45fa9-c824-43b5-90f9-bf6f24797483","year":1979},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.374730Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:cf3f15c75afff7accf6f4bc8d592fdf4308d2ab15596cc7f03dab91d97a737f4","observation_id":"86079d4f-a403-4f5e-964f-48ce804f6810","resolution":{"observed_at":"2026-08-14T11:43:13.568823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.553138Z","title":"Machine learning approaches to manufacturing.CIRP annals, 45(2):675–712, 1996","venue":null,"work_id":"503aad57-c826-4076-b7a6-cfb2ef78c96c","year":1996},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.378521Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:bb09be687fc971dea89a131f55a3197b9b736f238c8b6b5a68f3d7d2977fc98e","observation_id":"4d45224a-053a-4440-8acd-4b4e55a3c5aa","resolution":{"observed_at":"2026-08-14T11:43:13.557436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.541064Z","title":"A survey on compressive sensing: clas- sical results and recent advancements.Journal of Mathematical Modeling, 8(3):309–344, 2020","venue":null,"work_id":"21323b74-8da5-4020-a52d-ebc012d48318","year":2020},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.382018Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:ce2fd470c9f058a8c04fcbd627051ba55b47c17c567a65b59eaf3df369ffe4ea","observation_id":"bc29b35d-9fae-4885-b728-6452978d3e67","resolution":{"observed_at":"2026-08-14T11:43:13.545207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.531235Z","title":"Solution uniqueness of convex piecewise affine functions based optimization with applications to constrained𝓁1 minimization","venue":null,"work_id":"49c45c78-f200-4977-b8ea-12fb20933b0e","year":2019},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.386004Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:e4f860437596f032a6d69b9b2a2f0aafa03b6cbdb5588ae4815f8a9b5eafca94","observation_id":"52740524-8188-45fa-9882-580d1b3b913c","resolution":{"observed_at":"2026-08-14T11:43:13.534684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.519767Z","title":"Pedregosa, G","venue":null,"work_id":"1b495aa1-7ce8-4de6-b610-bbf21380e19a","year":2011},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.390524Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:afcd7d1ef1eeb4ada8af8edc5eef3209372035158935cfe00752228b0abbae96","observation_id":"863ae95c-d2c5-4644-8ea8-1900808f0bd4","resolution":{"observed_at":"2026-08-14T11:43:13.524028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.508183Z","title":"A fast 𝓁1-solver and its applications to robust face recognition.Journal of Industrial and Manage- ment Optimization, 8:163–178, 2012","venue":null,"work_id":"63f7b189-31c4-45b0-aec8-779dd7f89425","year":2012},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.394641Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:c80300db82d3b8de5185d7aed74ee190dfb829b74a8b79b91a8015107beebc9c","observation_id":"c4bd840a-c0bd-45d2-9969-91764f69c525","resolution":{"observed_at":"2026-08-14T11:43:13.512624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.497766Z","title":"Stable sparse approximations via nonconvex optimization","venue":null,"work_id":"47cfb27c-a74a-4ea4-9c97-325c7d75a604","year":2008},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.398221Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:f4c57381e5dd1b5d6b891722a4655a8df8b8d5206c522b0d15ee6910428ff0a4","observation_id":"20389f8c-65b2-4905-9043-fb14d83ed03d","resolution":{"observed_at":"2026-08-14T11:43:13.501349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.401684Z","title":"Learning with kernels: support vector machines, regularization, optimization, and beyond","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.401684Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:e0149d32360fd418dc26765648bf8868c5e5fb5418587f7ef88260322feaec1b","observation_id":"e58235ae-9cae-496e-8981-0990b6e42046","resolution":{"observed_at":"2026-08-14T11:43:13.401684Z","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":"2026-08-14T11:43:13.479633Z","title":"Least sparsity ofp-norm based optimization problems with p> 1","venue":null,"work_id":"607673ef-eadf-4405-b734-dea7fba6af89","year":2018},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.405179Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:de8fabe9b7afb76120331d987da7710ab6a79d411674364838a55c3ed1d9a646","observation_id":"99c90cfa-ec21-4676-9c71-a93114bac59e","resolution":{"observed_at":"2026-08-14T11:43:13.483647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.07236","last_updated":"2020-03-17T04:14:23Z","snapshot_observed_at":"2026-08-15T11:33:08.287125Z","submitted_at":"2019-03-18T02:44:33Z","title":"Exact Support and Vector Recovery of Constrained Sparse Vectors via Constrained Matching Pursuit","version":3},"cited_work":{"arxiv_id":"1903.07236","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.07236","snapshot_observed_at":"2026-08-14T11:43:13.443986Z","title":"Exact Support and Vector Recovery of Constrained Sparse Vectors via Constrained Matching Pursuit","venue":"math.OC","work_id":"906a1a09-ab52-4039-8250-8bd70e9c32fa","year":2019},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.409281Z"},"links":{"cited_paper":"/paper/1903.07236","citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:85f9c41b133470b87414d405afb46f576a754e472dc1eebffae846aaeab44e58","observation_id":"c71f712e-12fd-4ba4-a1e2-08a66c08ad72","resolution":{"observed_at":"2026-08-14T11:43:13.449725Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:43:13.468515Z","title":"Robust and sparse portfolio model for index tracking","venue":null,"work_id":"cb13cc57-853e-4a45-8f8b-7727ecd19250","year":2019},"citing_paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T11:43:13.413029Z"},"links":{"citing_paper":"/paper/1908.08616"},"observation_digest":"sha256:4e42fea1645487db99299591bb73966350e6c6f4cc6686944651d67327220207","observation_id":"eebc8e5c-d458-417e-b65a-1de00fe764f7","resolution":{"observed_at":"2026-08-14T11:43:13.472547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.08616","last_updated":"2021-01-30T21:58:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T08:43:22.088591Z","submitted_at":"2019-08-22T23:00:28Z","title":"Quadratic Surface Support Vector Machine with L1 Norm Regularization"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":1,"verified_fuzzy":29},"total_outbound_references":34},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.08616."}