{"as_of":"2026-08-08T06:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9746e9ae984bade99023a5b4e34057e7bba7929a1c068d20d2c6381f8206b073","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:39.652860Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2505.24737/citation-record","integrity":"/paper/2505.24737/integrity","json":"/paper/2505.24737/citation-record.json","paper":"/paper/2505.24737"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:34.770865Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.770865Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:413d1c016f4e1d709ae127301a05cfee9f9d7279f6c43c06cf31454680d9b3a0","observation_id":"653e315f-eea8-437b-944f-ae627dadb151","resolution":{"observed_at":"2026-08-07T12:35:34.770865Z","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":"2026-08-07T12:35:46.995407Z","title":"Differentially private generalized linear models revisited","venue":null,"work_id":"592c47f0-5b7f-4e30-ad98-850085f6d769","year":2022},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.910269Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:4a6bdcb82e3115bd4db3a922600504c0202fd75c2d4ce33aa97414c275e2f7ea","observation_id":"c6c662ac-7c62-493b-944f-049ad4017f56","resolution":{"observed_at":"2026-08-07T12:35:47.093525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:35.019219Z","title":"Private empirical risk minimization: Efficient algorithms and tight error bounds","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.019219Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:7afc8b6e06a306e0d7c84bc4994e00beccbec01f27b7bafee22bb1275be129c1","observation_id":"448e1952-d95d-4c44-9be6-086ca6d53a36","resolution":{"observed_at":"2026-08-07T12:35:35.019219Z","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":"2026-08-07T12:35:46.813763Z","title":null,"venue":null,"work_id":"8e9a3ee1-b70f-4c17-a39a-5ad91643b005","year":2022},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.170340Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:a241aad63e0862494dcaa7f0aa6b166747df6a83546547681e1f4f5b696238b6","observation_id":"f709fac3-0cf6-4acf-ae95-b2f7f40901e9","resolution":{"observed_at":"2026-08-07T12:35:46.908765Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.677036Z","title":"L., and Sorrell, J","venue":null,"work_id":"fb5187e8-9da5-428b-b9ef-76dbc8d92ded","year":2020},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.344256Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:aaba1df9dc7bf0d33e85d66897815b12f27a8be32a4278154717d1ad96adb580","observation_id":"ef30835f-b1bd-4e84-9239-9233596440ad","resolution":{"observed_at":"2026-08-07T12:35:46.740069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.487371Z","title":"Learning noisy halfspaces with a margin: Massart is no harder than random","venue":null,"work_id":"d01322fa-2fbf-4346-b8a7-24bd0eafe2a0","year":2024},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.502488Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:2c5c60710489901d6ab5ab96809eadd4afdb2dd3f2dfd1f1f141a3ade0376b11","observation_id":"e913f31a-9f36-4d52-b5f9-e820cf1cd6ee","resolution":{"observed_at":"2026-08-07T12:35:46.574320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.307582Z","title":null,"venue":null,"work_id":"60140ca5-ae8a-4c3b-823f-32a5d8c01622","year":2011},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.746980Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:24a3d74e46aaf1bc75340f6f5ee587efb7742dabf5c2b3581e88e6cf18f7f069","observation_id":"84cab26b-4964-4dd1-90d0-6c38e7f41c06","resolution":{"observed_at":"2026-08-07T12:35:46.400335Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.118077Z","title":"Classification under misspecification: Halfspaces, generalized linear models, and evolvability","venue":null,"work_id":"65118cfc-bd70-4e4f-8d5f-f596a3df14d7","year":2020},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.926176Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:4b36b0174440ec87ce991924165753dba5606e9ef045773952fe27d5095d41e7","observation_id":"7345abe7-d007-41b2-a3cc-6435921743a1","resolution":{"observed_at":"2026-08-07T12:35:46.214371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:36.116018Z","title":"and Vapnik, V","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.116018Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:67c6bb9a83b31aeb550b4f61c7625e03fc46bcc5da3a2ec1cdb4977926c5c473","observation_id":"e07652da-afcb-444f-a79e-096bb53d31c8","resolution":{"observed_at":"2026-08-07T12:35:36.116018Z","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":"2026-08-07T12:35:45.913405Z","title":"Complexity theoretic limitations on learning halfspaces","venue":null,"work_id":"97c78463-40b7-4bf4-aeca-b02242d65e1f","year":2016},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.310146Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:1a44ca4192d7caa7074b904a33b39c05a82cee95b4f9bceacec6baebe6e8c3e2","observation_id":"167a7a6e-ef07-49e3-b22b-14c4bccf260e","resolution":{"observed_at":"2026-08-07T12:35:46.005249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13650","last_updated":"2022-06-16T17:47:42Z","snapshot_observed_at":"2026-08-02T23:08:48.249888Z","submitted_at":"2022-04-28T17:10:56Z","title":"Unlocking High-Accuracy Differentially Private Image Classification through Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.13650","snapshot_observed_at":"2026-08-07T12:35:36.375081Z","title":"L., and Balle, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.375081Z"},"links":{"cited_paper":"/paper/2204.13650","citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:1feef56c7319587c69feeecbece8df8e1e40d95c7f5156d59c7682e5c5d985bd","observation_id":"6c9c3cc9-34ca-409a-9658-811e3abd1339","resolution":{"observed_at":"2026-08-07T12:35:36.375081Z","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":"2026-08-07T12:35:45.746177Z","title":"and Zarifis, N","venue":null,"work_id":"c3209425-b9fb-47d5-9333-7891d73b5b05","year":2024},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.485414Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:e7f5a0b2d62545845a6f2c7e197ef71e1553dac8520a28ba056a3d1f76eb60fe","observation_id":"cca8ae2b-6389-4e25-a0e5-eee41a3ca783","resolution":{"observed_at":"2026-08-07T12:35:45.831867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.579961Z","title":"Distribution-independent pac learning of halfspaces with massart noise","venue":null,"work_id":"c6d99e35-95f0-4615-a1b5-63d1e395e9d2","year":2019},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.597104Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:0c6c848afd0b70730ecd3c2dbe9517d11e26a6824cb0f2b99a5c65838fa345ee","observation_id":"707d19a7-d590-4a9c-b853-5883e6b99f30","resolution":{"observed_at":"2026-08-07T12:35:45.652062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.435680Z","title":null,"venue":null,"work_id":"897266c4-4eea-46c8-a15d-22252e9e9428","year":2022},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.670500Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:6c4386cbd25d89079611025dbc60d7c3ccede98ef1884b47d35a1e8123d25a3e","observation_id":"295f3162-81eb-4163-a588-a36401edb00c","resolution":{"observed_at":"2026-08-07T12:35:45.493572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:36.823832Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.823832Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:69173e1e685084a3b56d23fa82f79a4e798b979b9dacd9da9b18cc5539e6302e","observation_id":"ac4732bb-9339-4577-8d7f-7f5bac098b90","resolution":{"observed_at":"2026-08-07T12:35:36.823832Z","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":"2026-08-07T12:35:45.258377Z","title":"and Lei, J","venue":null,"work_id":"62124bcf-f77e-4a05-890b-87c048ef1f7a","year":2009},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.913000Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:27d05fed8544137a0e24682f722d6ef70fa7cec3eb4d384d4eba1f99c9c0ef3a","observation_id":"27736552-4c68-48ee-8057-744f852aeacd","resolution":{"observed_at":"2026-08-07T12:35:45.318272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.098837Z","title":"Calibrating noise to sensitivity in private data analysis","venue":null,"work_id":"ad7eb4b1-e4b4-480e-9cae-404a957e947b","year":2006},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.009175Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:40a48e8cc1ce5eeecaa189d9a79e1dc1e593ceba15e24d108701deed0cf84e73","observation_id":"9d89b560-e218-4c8b-9637-f0f048eff932","resolution":{"observed_at":"2026-08-07T12:35:45.170812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:44.956915Z","title":"N., and Vadhan, S","venue":null,"work_id":"39dc1907-9e41-4d91-90c8-2f9f047c6d58","year":2009},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.111144Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:be83d33a75d98dc76411dd5801cde3a11cb16b080897ca7d52d32c5882eca254","observation_id":"7971527d-778d-459c-b822-f914a36126bf","resolution":{"observed_at":"2026-08-07T12:35:45.022793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:37.199932Z","title":"The algorithmic foundations of differential privacy","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.199932Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:13a1cee49fd273ebe135e2194fd92219564cb0caa190d2c4edadd7f82cf021e9","observation_id":"4efae588-aade-4668-b370-f68b5b7b995a","resolution":{"observed_at":"2026-08-07T12:35:37.199932Z","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":"2026-08-07T12:35:44.752357Z","title":null,"venue":null,"work_id":"fc1ffd45-3ae4-4d3d-a214-59d2d1361063","year":2006},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.274802Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:548ae147b217d228de86fc219f50897c724b11203df6546e56586548f3532b08","observation_id":"1c00d121-8d72-4862-9b47-86cf8750eec7","resolution":{"observed_at":"2026-08-07T12:35:44.852120Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:44.604829Z","title":"and Schapire, R","venue":null,"work_id":"0b6c2c89-7aa2-4033-b006-1148d33e7ab1","year":1997},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.349412Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:99ba129299cec8cb41be82d2e27d3e46fea63306c4a67a5c293bc0eee053fd01","observation_id":"e62509ea-9113-4635-8ee2-5271eff0bd57","resolution":{"observed_at":"2026-08-07T12:35:44.680618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:44.434244Z","title":"Robust and private learning of halfspaces","venue":null,"work_id":"18e2ea2a-ed5f-4167-bf96-d3399b9f7f4a","year":2021},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.466317Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:04d4b3197eb2fabf1cf8ffe89a62bc93799b1e440142161c217a3ca7f5e696d1","observation_id":"3c2868fa-0b56-44ae-802b-0910e3f79294","resolution":{"observed_at":"2026-08-07T12:35:44.518779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:44.276292Z","title":"and Raghavendra, P","venue":null,"work_id":"9fb3f8b2-ce1a-4a24-9b70-f0cc56ff49b5","year":2009},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.560860Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:5cc163f4f296ccb418f288e9ce295e579e4696ae51eb6d0fc93904f15516e6c9","observation_id":"67a6712f-5631-418b-bfb8-75e1479ba940","resolution":{"observed_at":"2026-08-07T12:35:44.371146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:37.631152Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.631152Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:1c171c8faf5ac8c2d442acadda4cc95906b2996b4dbbf64c06ad215334a8fe08","observation_id":"a74da5c4-360f-4df2-99b1-082ed3b2a251","resolution":{"observed_at":"2026-08-07T12:35:37.631152Z","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":"2026-08-07T12:35:44.081464Z","title":"B., Lindenstrauss, J., and Schechtman, G","venue":null,"work_id":"8bfc73e4-1dca-41b8-bab7-766bdf69b59c","year":1986},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.723760Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:bf1cb2d45f572ce8f0f7dccd13c093b39d6fcadcbcb822e0a55f2b8153a920b8","observation_id":"7d5d1f0a-ec07-4b01-921f-027fa25907cc","resolution":{"observed_at":"2026-08-07T12:35:44.169846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:43.849469Z","title":"and Kulkarni, T","venue":null,"work_id":"a44f3cc1-c5e9-46ec-bbd7-c01e91aa77d3","year":2024},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.815401Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:510e940f454d98603658f1fb0eb9827f65ad3909ae2516dafe2843f7bfd4b038","observation_id":"524b58c8-dcc2-4ded-af9f-efb7efbb550e","resolution":{"observed_at":"2026-08-07T12:35:43.941180Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:43.665387Z","title":"E., and Wang, Y.-X","venue":null,"work_id":"5c73e7ff-4669-46f3-a2e2-cb7972359514","year":2024},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.929342Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:10cca4f7a394abc779f29f9b7504eb1f715c8fd1ad3e39853312407f0b8a90a7","observation_id":"b51ec5b6-2932-47e1-8575-42fce8454c2a","resolution":{"observed_at":"2026-08-07T12:35:43.759902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:43.485581Z","title":null,"venue":null,"work_id":"8a296a98-fbc9-41dd-8bd5-12f131878295","year":2017},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.025805Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:0133d09a9ac01581ff3e8644ee23bd6a6c3d64d4843356e4c51512d5936e926a","observation_id":"c50503ea-fe59-4988-abc4-664b112ac727","resolution":{"observed_at":"2026-08-07T12:35:43.550473Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:43.283524Z","title":"and Talwar, K","venue":null,"work_id":"a5b1e9ba-6964-45d3-8fd2-93238cb329f3","year":2019},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.140287Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:596c3c585e16bd9dd932db75aa075300d7c72be03db16fa81ada928979d4a415","observation_id":"9665eebc-8125-472a-87d1-832677d41a99","resolution":{"observed_at":"2026-08-07T12:35:43.394345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:43.092763Z","title":"and Zhou, Z","venue":null,"work_id":"29530d29-b634-4f7f-93b6-358de844ad4e","year":2024},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.233346Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:9db37e6c78ad3c80fc92e6f660b8305c3ad4ca6616ffc5b4d3c8f864189ee697","observation_id":"0fa40226-7050-4dad-a6de-331831ed5a19","resolution":{"observed_at":"2026-08-07T12:35:43.210719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:42.901145Z","title":"and Talwar, K","venue":null,"work_id":"79dc725b-0447-4ccb-86a7-256b1472760b","year":2007},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.327282Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:da770fd0bbcd6ca6a8026e99ab2fb0a0f02d2cac98ceaf24025dc2f503d6792b","observation_id":"1a3bf2c2-a1cb-4c2d-b727-0dd958603de5","resolution":{"observed_at":"2026-08-07T12:35:42.996501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:42.659811Z","title":"and Talwar, K","venue":null,"work_id":"e53bc988-fbbe-4801-addc-372a22ec74b6","year":2007},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.399987Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:e08f705a47bb55a6170fa1d1aa2a2ddb5af7fa3d9f79a4e929a99191a6f52406","observation_id":"15831b97-42b5-43ab-970f-c900f81c03d0","resolution":{"observed_at":"2026-08-07T12:35:42.804654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:38.470679Z","title":"Foundations of machine learning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.470679Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:02d657240a3a5f148890b4ed21bab1729d24a37aa1e4b01b89dedf7c4fa58f47","observation_id":"8c1f81cd-3307-4f90-ba18-699473020792","resolution":{"observed_at":"2026-08-07T12:35:38.470679Z","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":"2026-08-07T12:35:42.404509Z","title":null,"venue":null,"work_id":"018956cf-b780-4ab6-91e6-ac9b62802776","year":2021},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.630861Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:e53a61beeb1085a5415a967d91558844f043bb542af3add42f5fbb6816c0c79d","observation_id":"a649955e-78b7-455e-9f2a-623ad4ee1246","resolution":{"observed_at":"2026-08-07T12:35:42.551873Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:42.212668Z","title":"L., Ullman, J., and Zakynthinou, L","venue":null,"work_id":"c5713ac9-6e30-4b4a-9916-ab7ec116bc50","year":2020},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.718693Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:94d271e03e851cc2f75dd0cfc706812aeb0386858751556f86daa30355d73602","observation_id":"ecc8c437-8878-4af8-a73f-fd5bf4f85a85","resolution":{"observed_at":"2026-08-07T12:35:42.302488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:42.059728Z","title":"Smooth sensitivity and sampling in private data analysis","venue":null,"work_id":"d9d3c597-24d8-4557-848a-be8d60eb1bf7","year":2007},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.788064Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:6d6d45cc822e1fdb19b4dcb76e79a345ccda03d6610847b68c1890d1d4b85a57","observation_id":"9d19331f-df23-4627-b087-742619d62c8f","resolution":{"observed_at":"2026-08-07T12:35:42.123363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:41.841734Z","title":"Proceedings of the symposium on the mathematical theory of automata","venue":null,"work_id":"c9c80395-fe41-46a8-9549-b9ed5c6e6abf","year":1962},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.902382Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:f36eae3e53272149af5a2036a190610d5136ef88e007f2a25b66de2685a4172d","observation_id":"389711d9-62ae-4bcc-8044-d87bb4ede1f6","resolution":{"observed_at":"2026-08-07T12:35:41.957007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:41.643379Z","title":"and Tsampouka, P","venue":null,"work_id":"019a23d5-258b-40b3-9d25-21cfad5e2cc8","year":2011},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.976346Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:441bd493faa1d52a24cb39754bab56df9078ca49faf6a8a70a557b121707ebb2","observation_id":"02870c27-3016-4e7f-9c38-fc547aeed49f","resolution":{"observed_at":"2026-08-07T12:35:41.731087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:41.379866Z","title":"and Steinke, T","venue":null,"work_id":"59cdc22f-c55e-4078-9b22-1df923ffafea","year":2022},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.047975Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:ea6f7a4327a55ed980bca309859803e30f931d433cddb15588cc230122765ef9","observation_id":"4cac17fe-5f3f-4dbb-867d-4572c4006847","resolution":{"observed_at":"2026-08-07T12:35:41.513464Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:39.122629Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.122629Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:f3117700be8093afcb99ea0c168804517fc9fa56d4114451cb726ad05d5eb5b1","observation_id":"9e1f3f82-588b-4d2e-acdb-bc82a487ff36","resolution":{"observed_at":"2026-08-07T12:35:39.122629Z","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":"2026-08-07T12:35:41.163437Z","title":"and Smith, A","venue":null,"work_id":"2fe1bdd1-9132-448d-ad53-7f47fdb9b2e3","year":2016},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.202153Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:510219f63eb9ac1315943d34d11f046e80fd80d58af168d2766ea69e1ae44b0d","observation_id":"1cfbcfbb-1cca-4017-8c28-37ca4d9a06ad","resolution":{"observed_at":"2026-08-07T12:35:41.258536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:40.844433Z","title":"The perceptron: A probabilistic model for information storage and organization in the brain","venue":null,"work_id":"a1991361-67c9-42f4-b48f-a2878fbd1c28","year":1958},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.280594Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:84f585926068d2fb44fc842e6abb6c06d65623422a6dce89670e602cc09481df","observation_id":"a620c01b-17ab-4e84-badc-33edebd14b9b","resolution":{"observed_at":"2026-08-07T12:35:41.016942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:40.500553Z","title":"and Verdu, S","venue":null,"work_id":"42e5cb69-d8fa-4955-a96f-39a5246f9dbb","year":2016},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.359863Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:6c6430396ef9e8ea582f9e40689c3767a3a6e6c33d8c180b607792400d2192e6","observation_id":"13259d11-0daf-448c-9e20-e8006cd13170","resolution":{"observed_at":"2026-08-07T12:35:40.639857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:40.172340Z","title":"Statistical learning theory","venue":null,"work_id":"a79581aa-599d-4d7e-8734-a31ea5c545a8","year":1998},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.456689Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:849f73cb86d541aef7a566db364c25e0f389b49de13b03cf11789e08516d3e81","observation_id":"0a7aa455-ed3a-4fb3-bc78-f36ae0b3f7fd","resolution":{"observed_at":"2026-08-07T12:35:40.351978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:39.926058Z","title":"J., and Wang, Y.-X","venue":null,"work_id":"cc80a501-5d5c-4f2b-8987-da5364d8730c","year":2024},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.536536Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:4765c5c1887f15df7a07441094ae9ad42fe3504cc334017016f9a07ce8193845","observation_id":"4536c70d-30b2-4d30-a585-27cf403de77e","resolution":{"observed_at":"2026-08-07T12:35:40.028760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:39.751204Z","title":"and Wang, Y.-X","venue":null,"work_id":"d22cb221-1179-40df-9296-1a2de447ffd4","year":2020},"citing_paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.652860Z"},"links":{"citing_paper":"/paper/2505.24737"},"observation_digest":"sha256:8a805cd9e9e37c5792ed3b686f9fef9cf118f87284a7480a35f551fbb677a309","observation_id":"083461df-0cef-4167-bd62-4a838e04b58f","resolution":{"observed_at":"2026-08-07T12:35:39.845328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24737","last_updated":"2025-05-30T15:56:58Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T12:12:23.591626Z","submitted_at":"2025-05-30T15:56:58Z","title":"Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":31},"total_outbound_references":46},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.24737."}