{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4X5GBSU5EXWHH4VHM7RQU6RXRI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"91ca61cefa4941fe02433759e64d61787112b4a3fce49619cc632b9c47bd7eeb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-19T09:36:10Z","title_canon_sha256":"7083cd4a054483ea77f17e67b45eff1cc089c00a351d5edd79e66f667e1c2301"},"schema_version":"1.0","source":{"id":"2606.21260","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21260","created_at":"2026-06-23T01:12:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21260v1","created_at":"2026-06-23T01:12:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21260","created_at":"2026-06-23T01:12:35Z"},{"alias_kind":"pith_short_12","alias_value":"4X5GBSU5EXWH","created_at":"2026-06-23T01:12:35Z"},{"alias_kind":"pith_short_16","alias_value":"4X5GBSU5EXWHH4VH","created_at":"2026-06-23T01:12:35Z"},{"alias_kind":"pith_short_8","alias_value":"4X5GBSU5","created_at":"2026-06-23T01:12:35Z"}],"graph_snapshots":[{"event_id":"sha256:cbd0eb1de65561f31e39cd458b22caca9d4344af11e2bc67976a3dee044aedb1","target":"graph","created_at":"2026-06-23T01:12:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.21260/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the era of big data, subsampling became a common practice in statistical learning. By selecting a subgroup of individuals based on which the learner is trained, subsampling aims at reducing the computational cost and time of the estimation step, and ideally leads to a decrease of its energy consumption and carbon footprint. This work focuses on a nonparametric setting, in which the hypotheses set lies in a reproducing kernel Hilbert space, and the estimator is a minimizer of an empirical risk reweighted \\`a la Horvitz-Thompson. By studying the asymptotic properties of this estimator, we rev","authors_text":"Eyal Vayness, Maxime Sangnier","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-19T09:36:10Z","title":"Subsampling for supervised learning in reproducing kernel Hilbert spaces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21260","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:63e2495463a49b8299a0ba30264364fe70cdfd369e78c95320291587749cfbaf","target":"record","created_at":"2026-06-23T01:12:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"91ca61cefa4941fe02433759e64d61787112b4a3fce49619cc632b9c47bd7eeb","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-06-19T09:36:10Z","title_canon_sha256":"7083cd4a054483ea77f17e67b45eff1cc089c00a351d5edd79e66f667e1c2301"},"schema_version":"1.0","source":{"id":"2606.21260","kind":"arxiv","version":1}},"canonical_sha256":"e5fa60ca9d25ec73f2a767e30a7a378a3ccf037be7e967aa96966d171eac006d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5fa60ca9d25ec73f2a767e30a7a378a3ccf037be7e967aa96966d171eac006d","first_computed_at":"2026-06-23T01:12:35.083550Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:12:35.083550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hKNJT/6pZ7YvkljFvaPpvvIT7YCB2HgUVYgdF5+lmHmqUVSTMGDWVrO8lPw3J6qb0o6mazQcYo4IPfhAdD0DDQ==","signature_status":"signed_v1","signed_at":"2026-06-23T01:12:35.083956Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21260","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63e2495463a49b8299a0ba30264364fe70cdfd369e78c95320291587749cfbaf","sha256:cbd0eb1de65561f31e39cd458b22caca9d4344af11e2bc67976a3dee044aedb1"],"state_sha256":"414618347254aa5ec59d68304f4a498397ea86d10df7ad905f0d0ea4c07ed625"}