{"as_of":"2026-08-13T02:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f5539cfe1a96d89144a145e7e47d9fbf17ef0b9e16023bb4dcc89152d36febce","coverage":[{"denominator":98,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":98,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:02:28.433021Z","state":"measured"},{"denominator":98,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":98,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2501.00265/citation-record","integrity":"/paper/2501.00265/integrity","json":"/paper/2501.00265/citation-record.json","paper":"/paper/2501.00265"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:02:28.068060Z","title":"Aftab and R","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.068060Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:a22a6a0a17551e3b6d161353ac7711eecea13f377fb7bc5360230e63b932e354","observation_id":"2ddc9f0e-8811-4a66-9f92-1c0a56e2b038","resolution":{"observed_at":"2026-08-10T23:02:28.068060Z","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":"2026-08-10T23:02:28.072113Z","title":"Aftab, R","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.072113Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:888a2b90a75354a2b893d02dedc597f23317d5d8e867aa59d9951faace21ddbc","observation_id":"7cf834b5-1217-49b2-878e-b13b2da52529","resolution":{"observed_at":"2026-08-10T23:02:28.072113Z","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":"2026-08-10T23:02:28.076197Z","title":"Algan and I","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.076197Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:5387471095dc4a0bc90031cac8e096997aa3133377f9178a35b0a9f63fb235f6","observation_id":"bb70e75e-8c68-4d96-bcc5-9df35339bd11","resolution":{"observed_at":"2026-08-10T23:02:28.076197Z","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":"2026-08-10T23:02:28.079851Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.079851Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:4b2721184eadcb6dabaccc734f9d7f5cb570427a2670ae77b0944f53df7b678a","observation_id":"317819a0-0555-4b8b-838e-0728aa4b3920","resolution":{"observed_at":"2026-08-10T23:02:28.079851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.15109","last_updated":"2021-07-02T16:19:31Z","snapshot_observed_at":"2026-08-12T17:54:11.220816Z","submitted_at":"2020-07-29T21:06:13Z","title":"Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications","version":3},"cited_work":{"arxiv_id":"2007.15109","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.15109","snapshot_observed_at":"2026-08-10T23:02:28.871383Z","title":"Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications","venue":"cs.CV","work_id":"a81749e9-8d90-443c-ab1b-20017bca9d74","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.083557Z"},"links":{"cited_paper":"/paper/2007.15109","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:031af792845199f0b8b6e351584653d631eabc50e85acd84eb83d4532019eacb","observation_id":"3935bdd5-25dd-4d36-8943-f37d06fd24d1","resolution":{"observed_at":"2026-08-10T23:02:28.875642Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.087289Z","title":"Armeni, O","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.087289Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:803e08606f36e0cabc2da2730f7a9db5dfe06b29c52d18c70ee851a23574c7c8","observation_id":"d78ba271-70bb-430e-a9c1-cb88551a83c4","resolution":{"observed_at":"2026-08-10T23:02:28.087289Z","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":"2026-08-10T23:02:28.091080Z","title":"Awasthi, M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.091080Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:18268a222d7bf39560ad481b21b048d2037133ef88c349c35e21fc396f7d885a","observation_id":"c729c931-0aad-4651-b2f2-df5c6822ee6b","resolution":{"observed_at":"2026-08-10T23:02:28.091080Z","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":"2026-08-10T23:02:28.094279Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.094279Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:b60348094b68d84742d65b7069972f2d475893511001819f26bdc2cb6d8396e6","observation_id":"0f44fbc5-b76a-4bbf-bc74-d0091544643a","resolution":{"observed_at":"2026-08-10T23:02:28.094279Z","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":"2026-08-10T23:02:28.097814Z","title":"Bhatia, P","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.097814Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:bfb206c75f3203fcfeccf9d35ce241c16119bd0b23f9865cbd7f919092d4fed6","observation_id":"9b80adaa-770d-4693-a7f1-1b19453c87df","resolution":{"observed_at":"2026-08-10T23:02:28.097814Z","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":"2026-08-10T23:02:28.101539Z","title":"Bhatia, P","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.101539Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:cad3016a02f6310d348fb5a68502a6ea5c810450228a818cfe85cc667990ae97","observation_id":"b0e1ba6e-02df-494c-955f-81e4c56b3864","resolution":{"observed_at":"2026-08-10T23:02:28.101539Z","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":"2026-08-10T23:02:28.105534Z","title":null,"venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.105534Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:554124ffb4c6a721d6a942ad875fd8c7035ec77a98c6f9a3332dbfa01c4c1d0d","observation_id":"03ef5926-6771-4264-a8b8-78e945af98e0","resolution":{"observed_at":"2026-08-10T23:02:28.105534Z","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":"2026-08-10T23:02:28.109067Z","title":"Blake and A","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.109067Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:60661aecc9092cca6992d6bae992783bee6fb3b092513dff17a9b19a9b22331b","observation_id":"971ebe90-18d9-4bee-8617-40d58382d1c6","resolution":{"observed_at":"2026-08-10T23:02:28.109067Z","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":"2026-08-10T23:02:28.113057Z","title":null,"venue":null,"work_id":null,"year":1964},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.113057Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:6bbbfcda1e1da41ce9891a20be5e5cdcb14ca4934c749020ea1623d5524d4a75","observation_id":"682d1990-8a4c-471f-8516-ba4342b05771","resolution":{"observed_at":"2026-08-10T23:02:28.113057Z","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":"2026-08-10T23:02:28.116773Z","title":"Brimberg and R","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.116773Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:6f753e02bae964e2046bd759e6bde3f6e2f0335abb8509351cbe228dda49bd0a","observation_id":"09ad7da4-7014-4098-b36e-91adba6614c8","resolution":{"observed_at":"2026-08-10T23:02:28.116773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.10521","last_updated":"2022-12-16T14:05:11Z","snapshot_observed_at":"2026-08-09T06:01:03.385409Z","submitted_at":"2022-08-22T18:01:49Z","title":"Estimation Contracts for Outlier-Robust Geometric Perception","version":2},"cited_work":{"arxiv_id":"2208.10521","doi":null,"metadata_source":"pith","pith_arxiv_id":"2208.10521","snapshot_observed_at":"2026-08-10T23:02:28.856259Z","title":"Estimation Contracts for Outlier-Robust Geometric Perception","venue":"stat.ML","work_id":"30e83dac-43b6-4024-a556-820b58b5ae58","year":2022},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.120564Z"},"links":{"cited_paper":"/paper/2208.10521","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:20a97d07ddc83535362917b351abb36132af4e0abb71c0a298358c0aae7bf197","observation_id":"0e728aa9-60a7-439a-b1e4-33ec2ac1c866","resolution":{"observed_at":"2026-08-10T23:02:28.860658Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.125080Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.125080Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:466dda866ed91cf9218fb45e1c1c62318b87ce34acc4c8f6a21fe9be2020b9b7","observation_id":"ccf813e7-ce96-4b92-bce6-7158c4f42d2d","resolution":{"observed_at":"2026-08-10T23:02:28.125080Z","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":"2026-08-10T23:02:28.129037Z","title":"Chang, A","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.129037Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:dff1689d8911e560b9cb95c5c371a72f4c7a10b0538265500e9345393f12721d","observation_id":"9b7befcc-c624-4099-a9e3-0cd8f35fdb08","resolution":{"observed_at":"2026-08-10T23:02:28.129037Z","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":"2026-08-10T23:02:28.132601Z","title":"Charikar, J","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.132601Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:e6f4eb8906dc4d9592d76c4b87a606232b60ee286567b00176840c7ee08293ca","observation_id":"89993600-7215-4c83-924b-974477904a9f","resolution":{"observed_at":"2026-08-10T23:02:28.132601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.14938","last_updated":"2021-02-18T15:13:38Z","snapshot_observed_at":"2026-07-06T09:16:37.287949Z","submitted_at":"2020-04-30T16:38:16Z","title":"Adaptive Robust Kernels for Non-Linear Least Squares Problems","version":3},"cited_work":{"arxiv_id":"2004.14938","doi":null,"metadata_source":"pith","pith_arxiv_id":"2004.14938","snapshot_observed_at":"2026-08-10T23:02:28.841792Z","title":"Adaptive Robust Kernels for Non-Linear Least Squares Problems","venue":"cs.RO","work_id":"e2e0f4fd-658e-41f5-9e54-5024f8edac0f","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.136533Z"},"links":{"cited_paper":"/paper/2004.14938","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:625c68ce0288dfb6ce625baefd7dc35e73816e6a48d93bc41503fdb78e685391","observation_id":"0df79fac-0f5d-4034-a65e-1e8807c1d3be","resolution":{"observed_at":"2026-08-10T23:02:28.846099Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.140557Z","title":"Chebrolu, T","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.140557Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:cd3d62ee7058052e976e045d7f057ac75134016caec0ca9f718612c2daae9347","observation_id":"96d27903-f5e0-434b-b7a1-4dea02b0b80e","resolution":{"observed_at":"2026-08-10T23:02:28.140557Z","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":"2026-08-10T23:02:28.144304Z","title":null,"venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.144304Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:0918e6e14bffbe4877491514cf88a8d1025bf52eabae9a386cb075cf61df5c62","observation_id":"f4f885fb-daee-48d1-8f8a-c21cd8af40e8","resolution":{"observed_at":"2026-08-10T23:02:28.144304Z","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":"2405.03869","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:02:28.825436Z","title":"Chhabra, B","venue":null,"work_id":"9ece8d68-739c-4e88-9cb0-b123f54dbf9b","year":2024},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.148086Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:654f09f8ff7b9f180845c5adf0ab470e760868685455c9ed08798b36ccd05ebf","observation_id":"39005ba7-054f-4215-abad-ff5d40370b88","resolution":{"observed_at":"2026-08-10T23:02:28.831462Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.486667Z","title":"Demidovich, G","venue":null,"work_id":"e16dc887-0ddf-4df2-9ebe-e3d230ae41f7","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.151669Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:adb350e93fb378f0100663b45668917e652e6077251f8fc63cfecc510f156937","observation_id":"24f6c20d-0855-4403-8094-85786b80e45d","resolution":{"observed_at":"2026-08-10T23:02:29.489381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.477849Z","title":null,"venue":null,"work_id":"67b47866-47b1-4318-9dcd-09cb034fe3de","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.155442Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:462bd0829b4db0568de67c3339eced1648d5060041a5e17aa00be7487d7e6043","observation_id":"4326c6d4-9d44-49e1-b386-af0e6c4676da","resolution":{"observed_at":"2026-08-10T23:02:29.480792Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21078","last_updated":"2024-07-29T22:49:04Z","snapshot_observed_at":"2026-08-12T23:12:27.392320Z","submitted_at":"2024-07-29T22:49:04Z","title":"Convergence rates for the Adam optimizer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21078","snapshot_observed_at":"2026-08-10T23:02:28.158960Z","title":"Dereich and A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.158960Z"},"links":{"cited_paper":"/paper/2407.21078","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:6273e3a3e4109c79d84b8df66a5fe59077fb8c7d79b3b6707feed4cc77a753b5","observation_id":"125510cf-79ac-4136-bc9f-18733c2f3a1c","resolution":{"observed_at":"2026-08-10T23:02:28.158960Z","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":"2026-08-10T23:02:29.467883Z","title":"Diakonikolas, G","venue":null,"work_id":"dec59a03-c079-4032-8d29-9613a7793f72","year":2016},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.162715Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:ece72a18bc1df4531b6fdf8fd280d3a738d91a28b52657a12ebdeeee92ace872","observation_id":"22cb9a57-1b60-4ec8-b329-6419c639f393","resolution":{"observed_at":"2026-08-10T23:02:29.471318Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.457612Z","title":"Diakonikolas, G","venue":null,"work_id":"88eff4d8-8849-4e6c-b1c0-edda2fc1e2d7","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.167627Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:2316dbdce54e1dee484d805f69206ef8c3a77f5e024a791b646a954634041fea","observation_id":"bb5896e7-fce7-40b7-bc65-c61384dd8c2d","resolution":{"observed_at":"2026-08-10T23:02:29.461618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.447108Z","title":"Diakonikolas, D","venue":null,"work_id":"dd2f643d-3166-4879-87f9-4f16b5ed591a","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.170800Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:15a449a588747fd5fcd43ec20721c09d4ead7ec462c9d6d8dc0925e1cbdf9afd","observation_id":"141e37a9-30d6-47b7-a480-350da94115f3","resolution":{"observed_at":"2026-08-10T23:02:29.450696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.174390Z","title":"Diakonikolas, G","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.174390Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:5855e2e305c046e8d4cb22e1a210cda3c385dca15e8d155492a9c059b133dfa3","observation_id":"905a44df-146b-4302-a43b-03e6d61a958f","resolution":{"observed_at":"2026-08-10T23:02:28.174390Z","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":"2026-08-10T23:02:29.436369Z","title":"Diakonikolas, G","venue":null,"work_id":"adf58b81-2953-45da-8145-3dc0845f64dc","year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.178288Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:ec510ca838d2faf5967078b0f3c10d647424b9afb76533c54598c061ef12d68a","observation_id":"75e2e755-87f4-4c3f-88c6-087a907fdf90","resolution":{"observed_at":"2026-08-10T23:02:29.439863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.426245Z","title":"Diakonikolas, W","venue":null,"work_id":"5ecec547-f53f-4d8f-b986-594a6cb17dc4","year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.183038Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:f19d6ef258df1c2385332b57ad6b7b2f51838c628c7586348913a2de7d44dbb4","observation_id":"2e15b0ed-ab2f-4054-9200-5e3a7da2ac83","resolution":{"observed_at":"2026-08-10T23:02:29.429825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.02971","last_updated":"2023-02-06T18:01:38Z","snapshot_observed_at":"2026-07-06T14:48:56.286312Z","submitted_at":"2023-02-06T18:01:38Z","title":"U-Clip: On-Average Unbiased Stochastic Gradient Clipping","version":1},"cited_work":{"arxiv_id":"2302.02971","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.02971","snapshot_observed_at":"2026-08-10T23:02:28.729025Z","title":"U-Clip: On-Average Unbiased Stochastic Gradient Clipping","venue":"cs.LG","work_id":"53513a55-fcbf-4499-a901-652dbae49dfe","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.186739Z"},"links":{"cited_paper":"/paper/2302.02971","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:42ac81453616786e4983c0dddce5297b0bf6b7617fbd792d8375aa0ed2500bac","observation_id":"64ce6061-a59d-49c9-b7f3-9223d0c419b5","resolution":{"observed_at":"2026-08-10T23:02:28.733684Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.414419Z","title":null,"venue":null,"work_id":"df13e3fd-d1e3-4051-803e-00fc47488eaa","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.190978Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:016a70e632f59edc4f0b5bc6c83cd7d09014f30c2bb41a5b43625c2e45d178d6","observation_id":"4b092cb9-693c-4e38-bea4-7bfe96d8e884","resolution":{"observed_at":"2026-08-10T23:02:29.418495Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.403725Z","title":"Ferrari and Y","venue":null,"work_id":"aebd1cad-37b4-4350-8f06-a4efe66b5d20","year":2010},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.194594Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:4f0ce405629fcc6f796fedf86a7af61c5746410233fd699adef792b0cb270093","observation_id":"188d4b79-581b-4c03-b075-6795a77ba7f3","resolution":{"observed_at":"2026-08-10T23:02:29.407349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.393509Z","title":"Fischler and R","venue":null,"work_id":"20d4364f-aaee-4c18-b0e6-6dab5590e03b","year":1981},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.198485Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:495f3ad61179a14c9e0586155fde3cf00113543d6e3f0acf3981b76ade4a9a3a","observation_id":"1ad7df55-0cc7-4569-bee8-9d1a3fa2b081","resolution":{"observed_at":"2026-08-10T23:02:29.396881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.383919Z","title":"Foret, A","venue":null,"work_id":"3f205d8f-7e0a-4598-acaf-dc573b302230","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.202110Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:daa147b8ec9ffdf70b617fd1875ca7a849f13bb9cfb03b415b933c43ac627438","observation_id":"fadf9273-9a0f-4ac4-ab07-42756218f2a4","resolution":{"observed_at":"2026-08-10T23:02:29.387034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.374315Z","title":null,"venue":null,"work_id":"e8058993-7c06-4987-90e6-0b198cdeabd5","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.206611Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:73ae39d7b29924ee8b8e881e4c6e10ba10872244c943f751248430965be54d02","observation_id":"f4c9c7bb-9473-4742-9c28-3cb068aa3721","resolution":{"observed_at":"2026-08-10T23:02:29.377705Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.11235","last_updated":"2024-03-09T13:28:29Z","snapshot_observed_at":"2026-08-09T01:25:35.554813Z","submitted_at":"2023-01-26T17:18:36Z","title":"Handbook of Convergence Theorems for (Stochastic) Gradient Methods","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.11235","snapshot_observed_at":"2026-08-10T23:02:28.210223Z","title":"Garrigos and R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.210223Z"},"links":{"cited_paper":"/paper/2301.11235","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:b5033d615a3a6f178813c6d20d6b27b67598de24640ff06e717f4ece5e524ea7","observation_id":"9e1255a8-8849-41ae-964b-13b5806c0fd5","resolution":{"observed_at":"2026-08-10T23:02:28.210223Z","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":"2026-08-10T23:02:29.364282Z","title":"Ghosh, N","venue":null,"work_id":"4563e6c1-7cc5-4467-bd64-7162d12ddc72","year":2015},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.214430Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:002f0d0e50099545d79d602e48c72d1f46c4e12a4182fe15e1dd3b4ccbbed242","observation_id":"521a85d0-3375-4fa3-9e15-c4861c9ac8b9","resolution":{"observed_at":"2026-08-10T23:02:29.368047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.353398Z","title":"Ghosh, H","venue":null,"work_id":"33f5f234-9188-4514-9052-731c24577c28","year":1919},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.218479Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:8bcf1fb58de1388f07163e1890eb67d370e2d43980b331fa207378502fe13347","observation_id":"58b9d7ea-1202-48a0-9997-830b0dc245bb","resolution":{"observed_at":"2026-08-10T23:02:29.357042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.343121Z","title":null,"venue":null,"work_id":"cae199b4-25d9-44b6-bfba-19007f8d3a17","year":1968},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.223094Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:887debf4fb477671f21bbc67d18d6becad25e62dc731462ce13e0821f749e4bb","observation_id":"fccd4095-2379-49a2-a0e0-23c891947e18","resolution":{"observed_at":"2026-08-10T23:02:29.346636Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.332603Z","title":null,"venue":null,"work_id":"38262d8e-634b-46e1-9e2b-8e3df35807c4","year":2024},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.226839Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:d368c5847de3759b2c5ba65b42a928c3b7fcec2042f887b371b69dc634e4e5a0","observation_id":"c8f96a65-f2eb-497c-ba0c-21ec4d81361b","resolution":{"observed_at":"2026-08-10T23:02:29.336511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.322081Z","title":null,"venue":null,"work_id":"f4891bba-ad4f-4c06-8039-e4eb1b45bff3","year":1981},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.230678Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:344e457a2874f4b3498fe9c1ba73311c2157930c31620c2c40054f8820486a89","observation_id":"bda8ca1f-f26d-48f5-be2e-49e7857b8f29","resolution":{"observed_at":"2026-08-10T23:02:29.325730Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.311711Z","title":"Jawaid, R","venue":null,"work_id":"c03f17ce-35d9-4ba5-9583-0c5b2a516d21","year":2024},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.234378Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:db51c9efcf8058b66673f4a99c9c6c33a21101d55d8bc45e01527cdcc3269eb0","observation_id":"70803d8b-c38d-4172-b07e-ff4fd3f86b9c","resolution":{"observed_at":"2026-08-10T23:02:29.315487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.08055","last_updated":"2019-01-06T15:53:46Z","snapshot_observed_at":"2026-08-04T11:09:50.550074Z","submitted_at":"2018-09-21T12:15:49Z","title":"Compressed Sensing with Adversarial Sparse Noise via L1 Regression","version":4},"cited_work":{"arxiv_id":"1809.08055","doi":null,"metadata_source":"pith","pith_arxiv_id":"1809.08055","snapshot_observed_at":"2026-08-10T23:02:28.699391Z","title":"Compressed Sensing with Adversarial Sparse Noise via L1 Regression","venue":"cs.DS","work_id":"9cc6087f-91eb-422c-ae0b-d8176b9b3c55","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.238440Z"},"links":{"cited_paper":"/paper/1809.08055","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:329cd47558bb5a1fc0fb64e31b8af569f2ce36fd5206be295a4ece21fc96171f","observation_id":"3dbedd95-3596-4e84-b7ee-36f0bf9caf5c","resolution":{"observed_at":"2026-08-10T23:02:28.703743Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.301644Z","title":"Karmalkar, A","venue":null,"work_id":"f610d244-14f9-45e5-804e-4bf18a91b802","year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.242395Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:993dc977e4dd4c8130c62a71d3524f5ad37537d2e61afc5e4b50c87835f8bc7f","observation_id":"dafdd8c2-33ba-49b3-851e-5eb5f3306c24","resolution":{"observed_at":"2026-08-10T23:02:29.305070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.291610Z","title":null,"venue":null,"work_id":"8111e50e-0178-4583-a6c3-f9798c10784c","year":2009},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.245547Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:e1ae1564479c6875024c5b2db2cb865d8e84cac310e7d72d5d06aa2b77f8dbad","observation_id":"a6afaeb9-8c00-4bc5-ad4d-698655210a09","resolution":{"observed_at":"2026-08-10T23:02:29.295121Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.03241","last_updated":"2020-06-04T15:42:45Z","snapshot_observed_at":"2026-08-07T11:01:14.562012Z","submitted_at":"2018-03-08T18:30:31Z","title":"Efficient Algorithms for Outlier-Robust Regression","version":3},"cited_work":{"arxiv_id":"1803.03241","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.03241","snapshot_observed_at":"2026-08-10T23:02:28.681813Z","title":"Efficient Algorithms for Outlier-Robust Regression","venue":"cs.LG","work_id":"e4161271-5315-4520-a381-fef68841564a","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.248951Z"},"links":{"cited_paper":"/paper/1803.03241","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:2630b36419683d9dccb5f1062a4da764cbb98c2b0c2b519c538351a680915378","observation_id":"4b02d621-cf4f-44a5-8c2c-8ee099bb7a62","resolution":{"observed_at":"2026-08-10T23:02:28.687049Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.281518Z","title":"Koloskova, H","venue":null,"work_id":"93eb7e25-eb19-4574-89be-0a00f373d766","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.252222Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:e1186449977e5b92e88aee44d34e931f2757d71267f2eaa08011707a95e8820a","observation_id":"b2a6b3a3-26f4-4aa3-8f7a-737790435a3e","resolution":{"observed_at":"2026-08-10T23:02:29.285052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.07465","last_updated":"2017-11-20T18:56:40Z","snapshot_observed_at":"2026-07-06T06:10:25.736483Z","submitted_at":"2017-11-20T18:56:40Z","title":"Better Agnostic Clustering Via Relaxed Tensor Norms","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.07465","snapshot_observed_at":"2026-08-10T23:02:28.255188Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.255188Z"},"links":{"cited_paper":"/paper/1711.07465","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:f6b7564b442945bac625287bba7f27a82a52f068b21c5d9b84eaa172ed54a959","observation_id":"1b05525e-26d4-4773-89e0-2ea7a8dad96f","resolution":{"observed_at":"2026-08-10T23:02:28.255188Z","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":"2026-08-10T23:02:29.271460Z","title":null,"venue":null,"work_id":"7cd6287d-425d-4334-b057-f147b2c28d08","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.259195Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:9cea73e5ed4167578b5525a62bd9b185741e36b1fb10827841ae763c52932793","observation_id":"10a6235d-4ee5-498d-a06c-b0b9bf265e43","resolution":{"observed_at":"2026-08-10T23:02:29.274874Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.262804Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.262804Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:fbf896f43dedd19800a0afbddee7d4ffb54b78f9e66d44b48c1dcb3bc13a9efb","observation_id":"092a525b-66de-4106-87df-b938b017489e","resolution":{"observed_at":"2026-08-10T23:02:28.262804Z","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":"2026-08-10T23:02:29.261512Z","title":null,"venue":null,"work_id":"ff47af72-c972-4c6e-8508-2225734cee9e","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.266572Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:8ee0c82ca2843dcf6b544a9bf614e36150ac687589d58e86c554bef316aa2364","observation_id":"fa83ada3-b5f7-4611-88c4-4c765f4293ba","resolution":{"observed_at":"2026-08-10T23:02:29.265249Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.249986Z","title":null,"venue":null,"work_id":"682db082-9eba-49e0-8624-9c96412836bf","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.270512Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:75c256baa1a9c66558888171624ade8dd94b1d7c7f541921c545d860f60e8042","observation_id":"924b98b9-bd00-4cde-8cf1-206d81eae65c","resolution":{"observed_at":"2026-08-10T23:02:29.254555Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.238810Z","title":"Liu and H","venue":null,"work_id":"60dac660-cf89-4dcf-904d-35093751b2c3","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.274079Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:d370763181bfdc64b315c338341789d6da14ef678a2664eafe508fe1fa17a827","observation_id":"e8987baa-a86b-4122-b38d-f3cbaa2beaac","resolution":{"observed_at":"2026-08-10T23:02:29.242915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.227799Z","title":null,"venue":null,"work_id":"c2f8ff9b-758f-4530-98d9-8f3a4641b689","year":2022},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.277829Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:7b768cfc4d919557eeee28092d4bb1d30fa6714168e9fa359da4eb8196835423","observation_id":"afdf4357-b862-45ef-a847-64fd40faa2de","resolution":{"observed_at":"2026-08-10T23:02:29.231194Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.215831Z","title":"Lyu and I","venue":null,"work_id":"f7204170-2fb4-4f72-bfe2-2144fb3deb3f","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.281654Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:a90a322d53fbff8272d98f32b60347c387d76f2cace49d367363c9d52239f820","observation_id":"d35c3f5a-80a1-40dc-a52a-3d3b9c0b6b03","resolution":{"observed_at":"2026-08-10T23:02:29.219525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.205388Z","title":null,"venue":null,"work_id":"fa7c1c26-417e-43be-a219-2ceb1df01f8a","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.285057Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:17aa0b7a915d1b967dc91d7b982747c1dc884d3b4c8f79d9113a8f83ea07234e","observation_id":"a5f09e4e-1469-4f64-9216-0ae6661c4bf3","resolution":{"observed_at":"2026-08-10T23:02:29.209051Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.194499Z","title":null,"venue":null,"work_id":"1b9d87d3-1ca6-453f-a1c1-7b471b861c1b","year":2021},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.288924Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:99d24243a251d170fbec80f889a3fa3cfe3264cb0ea6e71c19cd0a9f35960936","observation_id":"d8ee943a-4f23-4b15-80c3-d200b3b8d61b","resolution":{"observed_at":"2026-08-10T23:02:29.198217Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.185402Z","title":null,"venue":null,"work_id":"d213dbfe-44cf-4f4c-b87d-c2830f7e64a5","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.292369Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:3f84ee5a830becb0906c7bb975769e966ff06c12bf8df30acdd9a738ba733bb1","observation_id":"21a3b39e-7fef-4286-bd3c-56041484f4f3","resolution":{"observed_at":"2026-08-10T23:02:29.188331Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.175282Z","title":"Merad and S","venue":null,"work_id":"779456f9-7b14-41bd-aa33-c41d5d658e44","year":2024},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.296198Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:ab82ef441431c0b34c18b237ceb7d654f4458824ae744cca6460a461935f2a8a","observation_id":"06ff0569-b6a8-40a6-818a-45a72d308951","resolution":{"observed_at":"2026-08-10T23:02:29.179246Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.08934","last_updated":"2020-08-03T22:17:31Z","snapshot_observed_at":"2026-08-07T21:12:33.939201Z","submitted_at":"2020-03-19T17:57:23Z","title":"NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.08934","snapshot_observed_at":"2026-08-10T23:02:28.299908Z","title":"Mildenhall, P","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.299908Z"},"links":{"cited_paper":"/paper/2003.08934","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:5743d32be8fa9b87b2b7af9dffeb1560c20721cb0cf08982f9e7e40c01a403d7","observation_id":"71dc40bb-dfe1-4a6d-9f45-c593cff212ca","resolution":{"observed_at":"2026-08-10T23:02:28.299908Z","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":"2026-08-10T23:02:28.303841Z","title":"M\\\"uller, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.303841Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:cc947e47c6020a1ffd78d48df439433317ef43cbebd60229617f5f381f1f1fa6","observation_id":"c612bb76-d7c9-49a6-bee5-82178b99a303","resolution":{"observed_at":"2026-08-10T23:02:28.303841Z","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":"2026-08-10T23:02:29.164159Z","title":null,"venue":null,"work_id":"d411664e-36fc-436c-86be-55b47855f3d9","year":2002},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.307449Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:3edaa11ec0dc1e37e4c0b80d2f65377d106ebacf23031fcaadf55ffe2b86376d","observation_id":"17e54a59-e50c-4f91-9bf1-40b6be84fe99","resolution":{"observed_at":"2026-08-10T23:02:29.168024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.154195Z","title":"Nguyen and T","venue":null,"work_id":"9dcf82ec-58f5-49d5-a9d6-caf39094ca1b","year":2017},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.311294Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:bd21905335f5bdde13682dca15a9f970cd14bc61e6cab5e0c2b78a30796c27c1","observation_id":"a30c3d14-c222-4b4a-b34b-789112dbd304","resolution":{"observed_at":"2026-08-10T23:02:29.157638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.142471Z","title":null,"venue":null,"work_id":"224a2cc0-ac09-4b99-afcf-a01f082c9e06","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.315006Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:989266a3c0db9b2d339204195ab42116d0c40139ab219eb157131f243f29619a","observation_id":"4f21a053-6131-497a-b072-6aae0ba66d1e","resolution":{"observed_at":"2026-08-10T23:02:29.145736Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.132039Z","title":"Prasad, A","venue":null,"work_id":"c0a452e6-638c-4007-9e50-5df30660d310","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.318713Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:f55dd277ef4f6be13b4cb59df09159d6ea9e5a7e251990db23f847462a549419","observation_id":"b4526d21-db9f-4268-9422-140d2bff2287","resolution":{"observed_at":"2026-08-10T23:02:29.135530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.121916Z","title":"Raghavendra and M","venue":null,"work_id":"1db8184f-682c-4508-954e-e3e243b7c520","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.322323Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:8f100ab5def7998f2e8a0054bb8ecac9c152ce60fd5007bb9f9be23165e57fdb","observation_id":"25dc9c6a-723b-42e3-b584-7fab0d763068","resolution":{"observed_at":"2026-08-10T23:02:29.125532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.00883","last_updated":"2023-06-02T23:35:16Z","snapshot_observed_at":"2026-08-12T17:54:00.809990Z","submitted_at":"2023-03-02T00:57:38Z","title":"Variance-reduced Clipping for Non-convex Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.00883","snapshot_observed_at":"2026-08-10T23:02:28.325872Z","title":"Reisizadeh, H","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.325872Z"},"links":{"cited_paper":"/paper/2303.00883","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:9ce9442c0c5d53e2947ab0fda6e6ec9f81f908bae8a800ac3d5700f8c2da9cb0","observation_id":"f2b12f9d-0766-4e8f-aaa7-fb006b7b7af0","resolution":{"observed_at":"2026-08-10T23:02:28.325872Z","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":"2026-08-10T23:02:29.112377Z","title":null,"venue":null,"work_id":"a6683fac-402b-4d64-a505-7c64917cdd8b","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.330397Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:20b512db13041193e38a703c707a5f616bdd8a479e5201d2f563ca8a1d7ac982","observation_id":"61c88e46-e79e-487a-aba0-a7e4d6d393e1","resolution":{"observed_at":"2026-08-10T23:02:29.115661Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.103102Z","title":"Sabour, S","venue":null,"work_id":"85b48b4c-b333-42f0-a311-7217248f4e1b","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.334221Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:866b2d21135c986c3019c1dae084961530ec5dec6f05b2c02d5bf0c6586edbfd","observation_id":"9dfbf74a-014b-4fc4-9486-e3a7c86394ce","resolution":{"observed_at":"2026-08-10T23:02:29.106198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.091923Z","title":"Schmidt and D","venue":null,"work_id":"0dba3641-ea61-4b06-a40a-15ae66afd443","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.337951Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:31e4471325f3626d28a6936e84b280f81c88809a0e60c4b1ef10d9065dad8e05","observation_id":"64403dfe-92ac-46d2-8493-983141ad904f","resolution":{"observed_at":"2026-08-10T23:02:29.096224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.081662Z","title":"Shafer and V","venue":null,"work_id":"abf4bec7-a19e-4b49-8550-e0c2ba4520a9","year":2008},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.341628Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:8dbf2e7c1068504cd4c4894860b78879e9ec652430309cd3d89b17926e4621a4","observation_id":"05e0c3cd-a3b3-4edc-bdd7-cef8a565fb57","resolution":{"observed_at":"2026-08-10T23:02:29.085497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.071305Z","title":null,"venue":null,"work_id":"6637f93a-5d33-4f9e-9bb1-0bbe6e817f04","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.345574Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:8a157071e5c9aee2cca70cec2a538801e64263ad5367620948923b8697d337e8","observation_id":"a738c2a2-a14d-4180-930b-5ef313f085d3","resolution":{"observed_at":"2026-08-10T23:02:29.074684Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.061256Z","title":"Shen and S","venue":null,"work_id":"2095eeda-1f26-4604-a3af-f8a08858a2ae","year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.348816Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:87c836b979cee278645cc8ce5fc8f84188b7d2e807620a00ae8df729fd76a7ea","observation_id":"71ab9678-b9a7-4025-98d0-2d4c523f66cc","resolution":{"observed_at":"2026-08-10T23:02:29.064738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.06019","last_updated":"2023-05-11T18:46:39Z","snapshot_observed_at":"2026-07-06T14:51:00.424828Z","submitted_at":"2023-02-12T23:02:03Z","title":"A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.06019","snapshot_observed_at":"2026-08-10T23:02:28.351872Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.351872Z"},"links":{"cited_paper":"/paper/2302.06019","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:873348b019e23bbd2f73d980634ae43bceda25531c303a6932bdb104bbbd5804","observation_id":"a031566c-8d21-4f82-88da-e95b58f7729e","resolution":{"observed_at":"2026-08-10T23:02:28.351872Z","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":"2026-08-10T23:02:29.051258Z","title":null,"venue":null,"work_id":"79771511-a413-4196-be58-42e8fe9464b4","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.355318Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:eec3d6fee31b7a75aa9b71ad500095a2650ec9e91a2fc369721fb5dc415d4784","observation_id":"52e95e8d-92ac-48bb-855c-93327117eea3","resolution":{"observed_at":"2026-08-10T23:02:29.054743Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.041399Z","title":"Sukhbaatar, J","venue":null,"work_id":"91eecee4-b446-4129-9426-f9a5a2bdad18","year":2015},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.358378Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:c0edcc09cf0d56ba324555674922bbcae5adff136b292996a5b6a599c0de82d2","observation_id":"f234ead2-96ba-48c8-a576-905cf51fb9fa","resolution":{"observed_at":"2026-08-10T23:02:29.044981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.11215","last_updated":"2023-04-28T19:47:34Z","snapshot_observed_at":"2026-07-06T13:23:40.750177Z","submitted_at":"2022-06-22T17:06:39Z","title":"Certifiable 3D Object Pose Estimation: Foundations, Learning Models, and Self-Training","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.11215","snapshot_observed_at":"2026-08-10T23:02:28.361642Z","title":"Talak, L","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.361642Z"},"links":{"cited_paper":"/paper/2206.11215","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:8113924793b972dc414468bc06434cc526c97a196e568b0eca4cfb19aebd3d4f","observation_id":"6dfe4eba-1ef4-4934-a82f-5a4004e9bd1a","resolution":{"observed_at":"2026-08-10T23:02:28.361642Z","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":"2026-08-10T23:02:29.030910Z","title":"Tancik, E","venue":null,"work_id":"723f593e-d482-49f9-b223-1fe5101e624b","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.365478Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:137d01ea50e1c3d5cf0bb4a0b8980ebb05dc919f3f478ea5bd445e5713d1b4a6","observation_id":"4759c061-0643-4fac-848b-8817512ffcb8","resolution":{"observed_at":"2026-08-10T23:02:29.034413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.020957Z","title":null,"venue":null,"work_id":"545efd08-f9db-4ae4-b34d-6804191d2791","year":2015},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.368960Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:42e9a6a242731b317ed824f9959b74418e83668ae542f16b19376f4c1452d552","observation_id":"3851a6b9-148b-4de2-9afd-b8a3350c2550","resolution":{"observed_at":"2026-08-10T23:02:29.023901Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.011744Z","title":"Tkachenko, M","venue":null,"work_id":"dc3abf6b-7846-4417-bfeb-690207b6e372","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.372474Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:28acf1d9c8fb003eb7188c27ee0ca28fa68a0d65f0a03d1f51a6457b4004f301","observation_id":"94cbc412-2df6-4482-96e6-c82aa88ec421","resolution":{"observed_at":"2026-08-10T23:02:29.014993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:29.001584Z","title":null,"venue":null,"work_id":"00cb30b2-8cc5-4c5e-8299-b58f40ef7306","year":2024},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.376425Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:b9758d39c8d8372082ac2b7edb8bbc1e2e4b5776f08587bf40baf984debbdb03","observation_id":"5b9955a5-3779-4687-98ea-ebe7999e3f28","resolution":{"observed_at":"2026-08-10T23:02:29.005427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.991457Z","title":null,"venue":null,"work_id":"22feb89d-b51c-4cc1-b5cf-9373c6bb908c","year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.379764Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:4048d1156fae5f2324d5228448f63c9f3d65b8194a61b368a6b21a84cfff907f","observation_id":"2e90d2bf-e1bc-4abd-b09b-343aa74b71c5","resolution":{"observed_at":"2026-08-10T23:02:28.994354Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.980862Z","title":null,"venue":null,"work_id":"d53476f0-ba5f-4b19-b1a0-6281071f75f7","year":2024},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.383316Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:518e29d789d8927e030999b33f59e54e1c5fec96566aeb839ce383feae1ea764","observation_id":"4f239fca-f750-40ff-81b1-3294ae3969cf","resolution":{"observed_at":"2026-08-10T23:02:28.984522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.969548Z","title":"Wright and Y","venue":null,"work_id":"5e27d569-c000-42e5-82aa-7f86b60dc9c1","year":2010},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.386844Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:ccc46dd2c762880401435b05f67e97d720721cc537a914e8527e25bcc5118082","observation_id":"0c64ad30-319b-4162-b8b1-d60c999c0788","resolution":{"observed_at":"2026-08-10T23:02:28.973377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.956000Z","title":null,"venue":null,"work_id":"1b27416d-9cda-42e3-945f-17d287ab3ec4","year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.390385Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:9c7b99de7b8e9d9539657e456082fa63bc8f6b594ec0d82f62a37ff1d45dd3da","observation_id":"8011388e-4891-409e-af46-bf4715e25395","resolution":{"observed_at":"2026-08-10T23:02:28.959593Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.06586","last_updated":"2021-03-11T19:27:19Z","snapshot_observed_at":"2026-08-10T02:54:21.561791Z","submitted_at":"2021-01-17T04:23:05Z","title":"Auto4D: Learning to Label 4D Objects from Sequential Point Clouds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.06586","snapshot_observed_at":"2026-08-10T23:02:28.393997Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.393997Z"},"links":{"cited_paper":"/paper/2101.06586","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:8b660c1e417dd6858dbb60eaef16be76ca2f18b2cf8dfa8f8d9b2364800a2d12","observation_id":"184c97ee-adaa-40ae-a4f7-f274bc433d39","resolution":{"observed_at":"2026-08-10T23:02:28.393997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.03349","last_updated":"2022-05-29T23:37:55Z","snapshot_observed_at":"2026-07-06T11:45:24.981916Z","submitted_at":"2021-09-07T21:42:16Z","title":"Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization","version":2},"cited_work":{"arxiv_id":"2109.03349","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.03349","snapshot_observed_at":"2026-08-10T23:02:28.507539Z","title":"Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization","venue":"cs.CV","work_id":"02ad8f04-fd95-4b36-af87-92c9aa7db200","year":2021},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.398052Z"},"links":{"cited_paper":"/paper/2109.03349","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:10e730adf018054717e46352d0d2caf15d74687f391a7211f98640d49936bcde","observation_id":"00eaf52b-e514-4ca4-99ae-8f76260fbe5b","resolution":{"observed_at":"2026-08-10T23:02:28.513739Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.08605","last_updated":"2020-06-11T20:09:58Z","snapshot_observed_at":"2026-07-06T08:22:52.168875Z","submitted_at":"2019-09-18T17:50:04Z","title":"Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection","version":4},"cited_work":{"arxiv_id":"1909.08605","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.08605","snapshot_observed_at":"2026-08-10T23:02:28.488992Z","title":"Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection","venue":"cs.CV","work_id":"a426bb9e-49a3-42a2-9f2a-620aafa1ba42","year":2019},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.402041Z"},"links":{"cited_paper":"/paper/1909.08605","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:0b3b38e8eaaf26e222b975097755088d633e71c30e58c0cd4c4b3a8346a09eb1","observation_id":"76e94ee7-b528-4f6f-8c6d-29c61f85a7f0","resolution":{"observed_at":"2026-08-10T23:02:28.495290Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.07715","last_updated":"2020-10-17T20:03:04Z","snapshot_observed_at":"2026-08-09T13:45:12.325860Z","submitted_at":"2020-01-21T18:56:00Z","title":"TEASER: Fast and Certifiable Point Cloud Registration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.07715","snapshot_observed_at":"2026-08-10T23:02:28.406427Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.406427Z"},"links":{"cited_paper":"/paper/2001.07715","citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:3cac23acd466d983452d54517c19bc80cb5f3f66aa3325748e7b0abbc3b2df8f","observation_id":"7c3c6fef-4289-431f-85c0-7008094d5e42","resolution":{"observed_at":"2026-08-10T23:02:28.406427Z","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":"2026-08-10T23:02:28.945005Z","title":null,"venue":null,"work_id":"beb27a8a-4c90-4a95-b4f6-5bbefc4720e2","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.410489Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:a7f8524a1484e8a7138d73285bf5c7987c1efc42efdfffcce72579c757463e08","observation_id":"5e156905-2743-4713-ae60-7d4c843702f2","resolution":{"observed_at":"2026-08-10T23:02:28.948719Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.933616Z","title":"Zhang, M","venue":null,"work_id":"0700868d-7601-418a-ae8c-548a415fa060","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.414186Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:cc912cc266f821a32bf379a177cc164e117c5214b306215d9ab3d956c7ee3b77","observation_id":"6aa68e74-427e-4986-907f-f5446975c6a7","resolution":{"observed_at":"2026-08-10T23:02:28.937235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.923301Z","title":"Zhang, T","venue":null,"work_id":"42abb688-e164-4f2b-a99e-1693e289f41b","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.417828Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:0942c606c5d2bb8bedca3a1d35f779ca2ac1a66fc6bf0fb81128deb56b07bda8","observation_id":"083502cb-7a67-4aca-9fa2-6211bbb1cf7c","resolution":{"observed_at":"2026-08-10T23:02:28.926585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.913324Z","title":"Zhang, S","venue":null,"work_id":"cfc13b8f-9979-4390-a781-aa1d23e6c4a9","year":2020},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.421387Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:cbd4075cf21ccfcd833267125d5881cfeef74d452240be60caa66d64fcbc07c9","observation_id":"0ed99b6a-cf44-407e-818a-54850b0f3b4c","resolution":{"observed_at":"2026-08-10T23:02:28.916756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.902619Z","title":"Zhang and M","venue":null,"work_id":"a528f87c-1cea-4e3a-ba7d-baa02bfbffc3","year":2018},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.424889Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:c8d6f8ceb3ba58ea34365b5a51967bc51b67f430c33d73cf023c1ab52ddeea5b","observation_id":"e3967cca-1225-48f7-8aa7-3ec9492d34b5","resolution":{"observed_at":"2026-08-10T23:02:28.906341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.890356Z","title":null,"venue":null,"work_id":"efd41d69-54f5-4148-a60e-791e1b254418","year":2023},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.429261Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:07ffe39fbecfb6aa97cb1b363039d27bf02c748559afa35751a48981515d7e8f","observation_id":"0b19c4b6-edfc-4590-bc3e-5af181390545","resolution":{"observed_at":"2026-08-10T23:02:28.894685Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T23:02:28.433021Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-10T23:02:28.433021Z"},"links":{"citing_paper":"/paper/2501.00265"},"observation_digest":"sha256:ba03cfc01e517ce10922a897b7da7970f8973c4cbd57dc60810231f2bd612f2b","observation_id":"2439517a-3331-4c66-b347-62c4f777ce69","resolution":{"observed_at":"2026-08-10T23:02:28.433021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.00265","last_updated":"2024-12-31T04:19:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T17:54:08.498595Z","submitted_at":"2024-12-31T04:19:53Z","title":"Outlier-Robust Training of Machine Learning Models"},"reference_resolution":{"displayed":98,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":57,"verified_exact":9,"verified_fuzzy":32},"total_outbound_references":98},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 0 inbound Pith citation observations for arXiv:2501.00265."}