{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IBNGABSFTZIC6RQUFZTX5D7YWG","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":"9fa390a25e88849456303281308423734da2d6b0c27242265ada2d5e95ddaf09","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-22T18:52:21Z","title_canon_sha256":"e6370f4e3bdbe5493b41839f286a06c4097bf3a822a0cadef3f995008cfa67aa"},"schema_version":"1.0","source":{"id":"2601.16200","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.16200","created_at":"2026-05-20T01:06:07Z"},{"alias_kind":"arxiv_version","alias_value":"2601.16200v3","created_at":"2026-05-20T01:06:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.16200","created_at":"2026-05-20T01:06:07Z"},{"alias_kind":"pith_short_12","alias_value":"IBNGABSFTZIC","created_at":"2026-05-20T01:06:07Z"},{"alias_kind":"pith_short_16","alias_value":"IBNGABSFTZIC6RQU","created_at":"2026-05-20T01:06:07Z"},{"alias_kind":"pith_short_8","alias_value":"IBNGABSF","created_at":"2026-05-20T01:06:07Z"}],"graph_snapshots":[{"event_id":"sha256:d64ce221c70d6f8df06d67f29b09b7f172771738641a19617b7d45b8c5061d38","target":"graph","created_at":"2026-05-20T01:06:07Z","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/2601.16200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern deep learning models exhibit strong capabilities across diverse applications, yet remain vulnerable to malicious inputs that induce erroneous predictions via feature-space distortion. To address this vulnerability, we propose Feature-space Smoothing (FS), a general defense framework that provides certified robustness at the feature representation level. We show that FS converts a given feature encoder into a smoothed variant that is guaranteed to maintain a certified lower bound on the cosine similarity between clean and adversarial features under l_2-bounded perturbations. We then esta","authors_text":"Chenqi Kong, Meiwen Ding, Song Xia, Wenhan Yang, Xudong Jiang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-22T18:52:21Z","title":"Feature-Space Smoothing: Certified Robustness of Deep Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.16200","kind":"arxiv","version":3},"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":"sha256:0f4db0548e368ed119d0b779134a2f0d5bf874cb557b31a265ad53c33ed7d704","target":"record","created_at":"2026-05-20T01:06:07Z","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":"9fa390a25e88849456303281308423734da2d6b0c27242265ada2d5e95ddaf09","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-01-22T18:52:21Z","title_canon_sha256":"e6370f4e3bdbe5493b41839f286a06c4097bf3a822a0cadef3f995008cfa67aa"},"schema_version":"1.0","source":{"id":"2601.16200","kind":"arxiv","version":3}},"canonical_sha256":"405a6006459e502f46142e677e8ff8b1a6adf7a8605da600b64dd3e219ea5ed5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"405a6006459e502f46142e677e8ff8b1a6adf7a8605da600b64dd3e219ea5ed5","first_computed_at":"2026-05-20T01:06:07.912060Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:06:07.912060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4qWomp5d8m/mOM8b4Oj4yM3cI7KaEvDHxNCDhn7FAyawQqDJ2zsrbNMMaGtJzDnHWmOVlZJYQPlXbYHf1IXMBw==","signature_status":"signed_v1","signed_at":"2026-05-20T01:06:07.912922Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.16200","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0f4db0548e368ed119d0b779134a2f0d5bf874cb557b31a265ad53c33ed7d704","sha256:d64ce221c70d6f8df06d67f29b09b7f172771738641a19617b7d45b8c5061d38"],"state_sha256":"c482ec50aa8e25d8e14d380c4e68de7c86ae1ceb43f9fc2b19910ba8e76aae0f"}