{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:B3JAISGIS4PMHMVLJOUD2QAVI4","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":"75c80f854c07f92387472c0cf6607d92de505c625a6cd8e3bf152dece6120659","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T20:17:13Z","title_canon_sha256":"fb4bca4687f45afde2b7b166e68e3a50fbbd8dbaa31e5a5b49b5356760880121"},"schema_version":"1.0","source":{"id":"2606.01437","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.01437","created_at":"2026-06-02T02:04:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.01437v1","created_at":"2026-06-02T02:04:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01437","created_at":"2026-06-02T02:04:33Z"},{"alias_kind":"pith_short_12","alias_value":"B3JAISGIS4PM","created_at":"2026-06-02T02:04:33Z"},{"alias_kind":"pith_short_16","alias_value":"B3JAISGIS4PMHMVL","created_at":"2026-06-02T02:04:33Z"},{"alias_kind":"pith_short_8","alias_value":"B3JAISGI","created_at":"2026-06-02T02:04:33Z"}],"graph_snapshots":[{"event_id":"sha256:4ca268e3a1636dc296eed28393aaada044a250011ceb4ae5bc312feb283784b7","target":"graph","created_at":"2026-06-02T02:04:33Z","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/2606.01437/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Neural Networks (DNNs) are highly susceptible to adversarial perturbations, leading to extensive research on robustness for safety-critical applications. State-of-the-art empirical defense mechanisms improve the robustness of DNNs through the training phase, but still struggle against adaptive white-box attacks. On the other hand, certified defenses offer provable guarantees of robustness within a specified perturbation bound. These guarantees hold regardless of the level of perturbations, even if the attacker is given full knowledge of the model. In this paper, we propose CEAR, an ensemb","authors_text":"Daniel Sadig, Hamed Karimi, Mohammadreza Maleki, Reza Samavi","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T20:17:13Z","title":"CEAR: Certified Ensemble Adversarial Robustness in DNNs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01437","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":"sha256:3cabee270b3472b3da632e942bdc9876e040ddefb1be392d38c7d619b2cac0fe","target":"record","created_at":"2026-06-02T02:04:33Z","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":"75c80f854c07f92387472c0cf6607d92de505c625a6cd8e3bf152dece6120659","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-31T20:17:13Z","title_canon_sha256":"fb4bca4687f45afde2b7b166e68e3a50fbbd8dbaa31e5a5b49b5356760880121"},"schema_version":"1.0","source":{"id":"2606.01437","kind":"arxiv","version":1}},"canonical_sha256":"0ed20448c8971ec3b2ab4ba83d4015471ead5922d267a7503d6ceff1a8c6d4d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ed20448c8971ec3b2ab4ba83d4015471ead5922d267a7503d6ceff1a8c6d4d6","first_computed_at":"2026-06-02T02:04:33.125306Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:33.125306Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uoGgp7Ax6rdq6wa6viKPRP3F4oTSUcms8lACD9LiUimV7uCc37wqlyEXoVTuQpxpqtFGO+CUgiRWD8Cnj/fBDw==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:33.125670Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.01437","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3cabee270b3472b3da632e942bdc9876e040ddefb1be392d38c7d619b2cac0fe","sha256:4ca268e3a1636dc296eed28393aaada044a250011ceb4ae5bc312feb283784b7"],"state_sha256":"e82f27d9c137c65a782b683cd608fa4bd11c4a88ec80799bb80f85c8e700839d"}