{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:X6HPT7AY62VQ6A2PR6TWLWO2C6","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":"10e23eec26b77d10281164a4ddb61a7a952c78444b248550f2c7fef2f380b8c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T10:02:56Z","title_canon_sha256":"629142d3a582698af1a048113323be9076c8a9e8a4f35c5763dfe2ef58c5554e"},"schema_version":"1.0","source":{"id":"2505.03383","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03383","created_at":"2026-07-05T10:59:15Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03383v1","created_at":"2026-07-05T10:59:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03383","created_at":"2026-07-05T10:59:15Z"},{"alias_kind":"pith_short_12","alias_value":"X6HPT7AY62VQ","created_at":"2026-07-05T10:59:15Z"},{"alias_kind":"pith_short_16","alias_value":"X6HPT7AY62VQ6A2P","created_at":"2026-07-05T10:59:15Z"},{"alias_kind":"pith_short_8","alias_value":"X6HPT7AY","created_at":"2026-07-05T10:59:15Z"}],"graph_snapshots":[{"event_id":"sha256:43dcfb46a8a218cabf74a877ea8906a544f05a56c0cea542ca7bf652c8ea50a2","target":"graph","created_at":"2026-07-05T10:59:15Z","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/2505.03383/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adversarial examples have revealed the vulnerability of deep learning models and raised serious concerns about information security. The transfer-based attack is a hot topic in black-box attacks that are practical to real-world scenarios where the training datasets, parameters, and structure of the target model are unknown to the attacker. However, few methods consider the particularity of class-specific deep models for fine-grained vision tasks, such as face recognition (FR), giving rise to unsatisfactory attacking performance. In this work, we first investigate what in a face exactly contrib","authors_text":"Jian-Wei Li, Wen-Ze Shao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T10:02:56Z","title":"Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03383","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":"sha256:56b38f7505aff30b7f8336b5882dcae38bae400efbb04d8c8d477170192f864a","target":"record","created_at":"2026-07-05T10:59:15Z","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":"10e23eec26b77d10281164a4ddb61a7a952c78444b248550f2c7fef2f380b8c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T10:02:56Z","title_canon_sha256":"629142d3a582698af1a048113323be9076c8a9e8a4f35c5763dfe2ef58c5554e"},"schema_version":"1.0","source":{"id":"2505.03383","kind":"arxiv","version":1}},"canonical_sha256":"bf8ef9fc18f6ab0f034f8fa765d9da178e442960371979758ec618205ec791b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf8ef9fc18f6ab0f034f8fa765d9da178e442960371979758ec618205ec791b8","first_computed_at":"2026-07-05T10:59:15.100177Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:15.100177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Wgrx9pvZNCUvdNQg5LqGrVV+fHVy6pzGuZNjt5WA1RroUnyNQPTuscXmifdJWHbeWQ9I9exMD00KIHmFh1QBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:15.100644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03383","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56b38f7505aff30b7f8336b5882dcae38bae400efbb04d8c8d477170192f864a","sha256:43dcfb46a8a218cabf74a877ea8906a544f05a56c0cea542ca7bf652c8ea50a2"],"state_sha256":"86a4638d45ebe94a9edcdc896a3e04399cc1e04baf0d0a9377701f5e5baebdf2"}