{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HZPLDSVEGPOWGQ34SLG2HPLFA4","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":"fe40a1126c81ba8b36f2b7ce8b9803d68e716ca879b9a536b914f35f8fc21150","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-28T22:41:47Z","title_canon_sha256":"d5cda56d03026bfdda3eab41837a2e5d2b58ece2f78a61b70912838cd95a17ef"},"schema_version":"1.0","source":{"id":"2309.16883","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.16883","created_at":"2026-07-05T07:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"2309.16883v4","created_at":"2026-07-05T07:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.16883","created_at":"2026-07-05T07:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"HZPLDSVEGPOW","created_at":"2026-07-05T07:56:52Z"},{"alias_kind":"pith_short_16","alias_value":"HZPLDSVEGPOWGQ34","created_at":"2026-07-05T07:56:52Z"},{"alias_kind":"pith_short_8","alias_value":"HZPLDSVE","created_at":"2026-07-05T07:56:52Z"}],"graph_snapshots":[{"event_id":"sha256:64711dc26caa6e77d61451579529ba734714668bf7cb65c396c85571c72b13d6","target":"graph","created_at":"2026-07-05T07:56:52Z","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/2309.16883/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-life applications of deep neural networks are hindered by their unsteady predictions when faced with noisy inputs and adversarial attacks. The certified radius in this context is a crucial indicator of the robustness of models. However how to design an efficient classifier with an associated certified radius? Randomized smoothing provides a promising framework by relying on noise injection into the inputs to obtain a smoothed and robust classifier. In this paper, we first show that the variance introduced by the Monte-Carlo sampling in the randomized smoothing procedure estimate closely i","authors_text":"Alexandre Allauzen, Alexandre Araujo, Blaise Delattre, Quentin Barth\\'elemy","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-28T22:41:47Z","title":"The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.16883","kind":"arxiv","version":4},"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:dc9f499d015cc1e7d25f7be0577ffb4ae8c4a6326cb47df29e08b445297f0c77","target":"record","created_at":"2026-07-05T07:56:52Z","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":"fe40a1126c81ba8b36f2b7ce8b9803d68e716ca879b9a536b914f35f8fc21150","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-09-28T22:41:47Z","title_canon_sha256":"d5cda56d03026bfdda3eab41837a2e5d2b58ece2f78a61b70912838cd95a17ef"},"schema_version":"1.0","source":{"id":"2309.16883","kind":"arxiv","version":4}},"canonical_sha256":"3e5eb1caa433dd63437c92cda3bd65071e7570dc12731020eda0f31fce3a4ff2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e5eb1caa433dd63437c92cda3bd65071e7570dc12731020eda0f31fce3a4ff2","first_computed_at":"2026-07-05T07:56:52.839902Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:56:52.839902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"njBKNrVzoRWVC7ioBUQ9e40a91LoAWPHKh0urlAZpaujR9eAf3GmccA57AW3pAyC3xsvJjy3U+F/FScZNV7XCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:56:52.840403Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.16883","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc9f499d015cc1e7d25f7be0577ffb4ae8c4a6326cb47df29e08b445297f0c77","sha256:64711dc26caa6e77d61451579529ba734714668bf7cb65c396c85571c72b13d6"],"state_sha256":"739219e9e1bde24dabf6157bbfdd15efd4c4a405d9342cc791e5fa887a5190cd"}