{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:B34PICCLI2R4BSCEGM5P2AT6KI","short_pith_number":"pith:B34PICCL","canonical_record":{"source":{"id":"2408.08464","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T00:18:23Z","cross_cats_sorted":[],"title_canon_sha256":"b79a6e84a36226e3709ae1833d588195ef7cded0378e228c83cd6aab559c286d","abstract_canon_sha256":"8c783c7bab04e4ae898db5334f7b0f57e225735d723e5c970eb5c87037bf6ece"},"schema_version":"1.0"},"canonical_sha256":"0ef8f4084b46a3c0c844333afd027e5228382afd8cbed95d54fb6427b2bdc252","source":{"kind":"arxiv","id":"2408.08464","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08464","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08464v4","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08464","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"pith_short_12","alias_value":"B34PICCLI2R4","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"pith_short_16","alias_value":"B34PICCLI2R4BSCE","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"pith_short_8","alias_value":"B34PICCL","created_at":"2026-07-05T09:23:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:B34PICCLI2R4BSCEGM5P2AT6KI","target":"record","payload":{"canonical_record":{"source":{"id":"2408.08464","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T00:18:23Z","cross_cats_sorted":[],"title_canon_sha256":"b79a6e84a36226e3709ae1833d588195ef7cded0378e228c83cd6aab559c286d","abstract_canon_sha256":"8c783c7bab04e4ae898db5334f7b0f57e225735d723e5c970eb5c87037bf6ece"},"schema_version":"1.0"},"canonical_sha256":"0ef8f4084b46a3c0c844333afd027e5228382afd8cbed95d54fb6427b2bdc252","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:23:57.003861Z","signature_b64":"THswS6vmHZWJR3ZqZTuIVYoZznE+kTO4xRxlwl+3yE5MFJD+6maKH5edndSbXHf0U24Oa3S3TFGNiBloJXkmAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ef8f4084b46a3c0c844333afd027e5228382afd8cbed95d54fb6427b2bdc252","last_reissued_at":"2026-07-05T09:23:57.003360Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:23:57.003360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.08464","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:23:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JPDN1LiyzL07mEzPkUuxR7yF07XdCkvN28cBtM4F7yVEtZXo2NeSlelaY3jgxtr2qr2jG71+SNCvqhKjsLncCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T18:56:27.240287Z"},"content_sha256":"0fd5a03614dbd4cfd4dde461e832c3c3dd68bb38a89ac6c6c8ee08a4ecc5e254","schema_version":"1.0","event_id":"sha256:0fd5a03614dbd4cfd4dde461e832c3c3dd68bb38a89ac6c6c8ee08a4ecc5e254"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:B34PICCLI2R4BSCEGM5P2AT6KI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"$\\textit{MMJ-Bench}$: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Chengyan Fu, Fenghua Weng, Wenjie Wang, Yue Xu","submitted_at":"2024-08-16T00:18:23Z","abstract_excerpt":"As deep learning advances, Large Language Models (LLMs) and their multimodal counterparts, Multimodal Large Language Models (MLLMs), have shown exceptional performance in many real-world tasks. However, MLLMs face significant security challenges, such as jailbreak attacks, where attackers attempt to bypass the model's safety alignment to elicit harmful responses. The threat of jailbreak attacks on MLLMs arises from both the inherent vulnerabilities of LLMs and the multiple information channels that MLLMs process. While various attacks and defenses have been proposed, there is a notable gap in "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08464","kind":"arxiv","version":4},"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/2408.08464/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":"2026-07-05T09:23:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gaHJedXqg3N08hlAFIIH4Teq3i+FRB5yqqfJnhwFvgqzKVNen9i54zkvbNJmllD2rOiXBWXBfBU9CYzfyxYbBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-14T18:56:27.240677Z"},"content_sha256":"ee92cd46963340fb54a61be4c7cee2c75ca815a1d5eaf0e6c4c5517285436204","schema_version":"1.0","event_id":"sha256:ee92cd46963340fb54a61be4c7cee2c75ca815a1d5eaf0e6c4c5517285436204"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B34PICCLI2R4BSCEGM5P2AT6KI/bundle.json","state_url":"https://pith.science/pith/B34PICCLI2R4BSCEGM5P2AT6KI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B34PICCLI2R4BSCEGM5P2AT6KI/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":"2026-07-14T18:56:27Z","links":{"resolver":"https://pith.science/pith/B34PICCLI2R4BSCEGM5P2AT6KI","bundle":"https://pith.science/pith/B34PICCLI2R4BSCEGM5P2AT6KI/bundle.json","state":"https://pith.science/pith/B34PICCLI2R4BSCEGM5P2AT6KI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B34PICCLI2R4BSCEGM5P2AT6KI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:B34PICCLI2R4BSCEGM5P2AT6KI","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":"8c783c7bab04e4ae898db5334f7b0f57e225735d723e5c970eb5c87037bf6ece","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T00:18:23Z","title_canon_sha256":"b79a6e84a36226e3709ae1833d588195ef7cded0378e228c83cd6aab559c286d"},"schema_version":"1.0","source":{"id":"2408.08464","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08464","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08464v4","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08464","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"pith_short_12","alias_value":"B34PICCLI2R4","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"pith_short_16","alias_value":"B34PICCLI2R4BSCE","created_at":"2026-07-05T09:23:57Z"},{"alias_kind":"pith_short_8","alias_value":"B34PICCL","created_at":"2026-07-05T09:23:57Z"}],"graph_snapshots":[{"event_id":"sha256:ee92cd46963340fb54a61be4c7cee2c75ca815a1d5eaf0e6c4c5517285436204","target":"graph","created_at":"2026-07-05T09:23:57Z","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/2408.08464/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As deep learning advances, Large Language Models (LLMs) and their multimodal counterparts, Multimodal Large Language Models (MLLMs), have shown exceptional performance in many real-world tasks. However, MLLMs face significant security challenges, such as jailbreak attacks, where attackers attempt to bypass the model's safety alignment to elicit harmful responses. The threat of jailbreak attacks on MLLMs arises from both the inherent vulnerabilities of LLMs and the multiple information channels that MLLMs process. While various attacks and defenses have been proposed, there is a notable gap in ","authors_text":"Chengyan Fu, Fenghua Weng, Wenjie Wang, Yue Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T00:18:23Z","title":"$\\textit{MMJ-Bench}$: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08464","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":"sha256:0fd5a03614dbd4cfd4dde461e832c3c3dd68bb38a89ac6c6c8ee08a4ecc5e254","target":"record","created_at":"2026-07-05T09:23:57Z","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":"8c783c7bab04e4ae898db5334f7b0f57e225735d723e5c970eb5c87037bf6ece","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-08-16T00:18:23Z","title_canon_sha256":"b79a6e84a36226e3709ae1833d588195ef7cded0378e228c83cd6aab559c286d"},"schema_version":"1.0","source":{"id":"2408.08464","kind":"arxiv","version":4}},"canonical_sha256":"0ef8f4084b46a3c0c844333afd027e5228382afd8cbed95d54fb6427b2bdc252","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ef8f4084b46a3c0c844333afd027e5228382afd8cbed95d54fb6427b2bdc252","first_computed_at":"2026-07-05T09:23:57.003360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:23:57.003360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"THswS6vmHZWJR3ZqZTuIVYoZznE+kTO4xRxlwl+3yE5MFJD+6maKH5edndSbXHf0U24Oa3S3TFGNiBloJXkmAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:23:57.003861Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08464","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0fd5a03614dbd4cfd4dde461e832c3c3dd68bb38a89ac6c6c8ee08a4ecc5e254","sha256:ee92cd46963340fb54a61be4c7cee2c75ca815a1d5eaf0e6c4c5517285436204"],"state_sha256":"09fe5b7d5f10988a729ab36c37e20d8b5dc0a8cba701bb147f7244c95fae8982"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bdAc/854/TyiG0pVOPvh9wvYG/fnsHuiaNjUz8Sb1qpZyStptFdEsVjL760Rg/TRU8TAGvIyio5270HJCgRFAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-14T18:56:27.243178Z","bundle_sha256":"948f45da372c74bbf2bcbd8171a54532248df419fb9149a3a7f26d5f7b2fb09c"}}