{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:Y4T3DSCF73EEZLCSEQZZLETOEX","short_pith_number":"pith:Y4T3DSCF","canonical_record":{"source":{"id":"2304.05402","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T11:43:57Z","cross_cats_sorted":["cs.CR","cs.LG","cs.MM"],"title_canon_sha256":"7a853441477011ed2a38a8e5f13601a24b046efdb4ecd69da1ea94068ff57659","abstract_canon_sha256":"24b99d53d5d120dda7597d714689cfdcefe20f3e31a97e31a62d8e82b1a97b19"},"schema_version":"1.0"},"canonical_sha256":"c727b1c845fec84cac52243395926e25d79d8139d887e5d171aceecd8cf10e43","source":{"kind":"arxiv","id":"2304.05402","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.05402","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"arxiv_version","alias_value":"2304.05402v1","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.05402","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_12","alias_value":"Y4T3DSCF73EE","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_16","alias_value":"Y4T3DSCF73EEZLCS","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_8","alias_value":"Y4T3DSCF","created_at":"2026-07-05T06:00:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:Y4T3DSCF73EEZLCSEQZZLETOEX","target":"record","payload":{"canonical_record":{"source":{"id":"2304.05402","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T11:43:57Z","cross_cats_sorted":["cs.CR","cs.LG","cs.MM"],"title_canon_sha256":"7a853441477011ed2a38a8e5f13601a24b046efdb4ecd69da1ea94068ff57659","abstract_canon_sha256":"24b99d53d5d120dda7597d714689cfdcefe20f3e31a97e31a62d8e82b1a97b19"},"schema_version":"1.0"},"canonical_sha256":"c727b1c845fec84cac52243395926e25d79d8139d887e5d171aceecd8cf10e43","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:00:18.186102Z","signature_b64":"f1GD7S14qHgJg8w5wuFZm0uwjZPP5kripOvlD4OiEp51A6YLi0SE5wl76+sqKp8qv4z9ziQ9NO63XOBsr6mxAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c727b1c845fec84cac52243395926e25d79d8139d887e5d171aceecd8cf10e43","last_reissued_at":"2026-07-05T06:00:18.185572Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:00:18.185572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.05402","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:00:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xHBtraFcyQ93N9G/T+ZWGuVgiaofwHMRH7r6PgMAPZ5byEQUxaK1/S8vuOyd0rRl1Wa7s+Q9G4KuDyu6sVkHDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:15:21.077981Z"},"content_sha256":"f718c5a66b1cc4691a90c41539ac163e6b2de85b800a17f6109b96b45fa4727e","schema_version":"1.0","event_id":"sha256:f718c5a66b1cc4691a90c41539ac163e6b2de85b800a17f6109b96b45fa4727e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:Y4T3DSCF73EEZLCSEQZZLETOEX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Boosting Cross-task Transferability of Adversarial Patches with Visual Relations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","cs.LG","cs.MM"],"primary_cat":"cs.CV","authors_text":"Shunchang Liu, Songze Li, Tony Ma, Yisong Xiao","submitted_at":"2023-04-11T11:43:57Z","abstract_excerpt":"The transferability of adversarial examples is a crucial aspect of evaluating the robustness of deep learning systems, particularly in black-box scenarios. Although several methods have been proposed to enhance cross-model transferability, little attention has been paid to the transferability of adversarial examples across different tasks. This issue has become increasingly relevant with the emergence of foundational multi-task AI systems such as Visual ChatGPT, rendering the utility of adversarial samples generated by a single task relatively limited. Furthermore, these systems often entail i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.05402","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2304.05402/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:00:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hW5zxx3gB0RJ6DToiFHSC5FVHjH+UFXuu8b3175JuPRAyz9Uff3mXN9x3mSoHaHpi1UpO8ovltZoQwovcJyeAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:15:21.078504Z"},"content_sha256":"e44f14d500464492c7e83327ddbf18c774001cbaf980c9c90c8d7fadce8cc066","schema_version":"1.0","event_id":"sha256:e44f14d500464492c7e83327ddbf18c774001cbaf980c9c90c8d7fadce8cc066"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y4T3DSCF73EEZLCSEQZZLETOEX/bundle.json","state_url":"https://pith.science/pith/Y4T3DSCF73EEZLCSEQZZLETOEX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y4T3DSCF73EEZLCSEQZZLETOEX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T17:15:21Z","links":{"resolver":"https://pith.science/pith/Y4T3DSCF73EEZLCSEQZZLETOEX","bundle":"https://pith.science/pith/Y4T3DSCF73EEZLCSEQZZLETOEX/bundle.json","state":"https://pith.science/pith/Y4T3DSCF73EEZLCSEQZZLETOEX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y4T3DSCF73EEZLCSEQZZLETOEX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:Y4T3DSCF73EEZLCSEQZZLETOEX","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":"24b99d53d5d120dda7597d714689cfdcefe20f3e31a97e31a62d8e82b1a97b19","cross_cats_sorted":["cs.CR","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T11:43:57Z","title_canon_sha256":"7a853441477011ed2a38a8e5f13601a24b046efdb4ecd69da1ea94068ff57659"},"schema_version":"1.0","source":{"id":"2304.05402","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.05402","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"arxiv_version","alias_value":"2304.05402v1","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.05402","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_12","alias_value":"Y4T3DSCF73EE","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_16","alias_value":"Y4T3DSCF73EEZLCS","created_at":"2026-07-05T06:00:18Z"},{"alias_kind":"pith_short_8","alias_value":"Y4T3DSCF","created_at":"2026-07-05T06:00:18Z"}],"graph_snapshots":[{"event_id":"sha256:e44f14d500464492c7e83327ddbf18c774001cbaf980c9c90c8d7fadce8cc066","target":"graph","created_at":"2026-07-05T06:00:18Z","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/2304.05402/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The transferability of adversarial examples is a crucial aspect of evaluating the robustness of deep learning systems, particularly in black-box scenarios. Although several methods have been proposed to enhance cross-model transferability, little attention has been paid to the transferability of adversarial examples across different tasks. This issue has become increasingly relevant with the emergence of foundational multi-task AI systems such as Visual ChatGPT, rendering the utility of adversarial samples generated by a single task relatively limited. Furthermore, these systems often entail i","authors_text":"Shunchang Liu, Songze Li, Tony Ma, Yisong Xiao","cross_cats":["cs.CR","cs.LG","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T11:43:57Z","title":"Boosting Cross-task Transferability of Adversarial Patches with Visual Relations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.05402","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:f718c5a66b1cc4691a90c41539ac163e6b2de85b800a17f6109b96b45fa4727e","target":"record","created_at":"2026-07-05T06:00:18Z","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":"24b99d53d5d120dda7597d714689cfdcefe20f3e31a97e31a62d8e82b1a97b19","cross_cats_sorted":["cs.CR","cs.LG","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-11T11:43:57Z","title_canon_sha256":"7a853441477011ed2a38a8e5f13601a24b046efdb4ecd69da1ea94068ff57659"},"schema_version":"1.0","source":{"id":"2304.05402","kind":"arxiv","version":1}},"canonical_sha256":"c727b1c845fec84cac52243395926e25d79d8139d887e5d171aceecd8cf10e43","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c727b1c845fec84cac52243395926e25d79d8139d887e5d171aceecd8cf10e43","first_computed_at":"2026-07-05T06:00:18.185572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:00:18.185572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f1GD7S14qHgJg8w5wuFZm0uwjZPP5kripOvlD4OiEp51A6YLi0SE5wl76+sqKp8qv4z9ziQ9NO63XOBsr6mxAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:00:18.186102Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.05402","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f718c5a66b1cc4691a90c41539ac163e6b2de85b800a17f6109b96b45fa4727e","sha256:e44f14d500464492c7e83327ddbf18c774001cbaf980c9c90c8d7fadce8cc066"],"state_sha256":"bb3ebfedb3317f7fc6751922d4b70b30f5224dcea67d3d4cd8f19fceaa09a277"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cpww2FCa5fBunEZaEGg6XMIpfy1UwnV4zRHtUiH9weUFX+4xHvmothhPZ+a8cS2a99TvdB2ROToUAr2mIaAVBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:15:21.084422Z","bundle_sha256":"0a9be8d4be02392923cbd26cd239f86e817569b12b51ebcb944285bfc287ee07"}}