{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H3PYFHE5QLLVDDPSHCJ6ALBEID","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":"9e92d294b8c3c1f1516bb0fb669151e8d39bcf60c9a14b590dd31723386c4362","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T20:39:31Z","title_canon_sha256":"13bf3000b9407715814d2e23aadec6180414348db1108eae37e2f5f4dacf41cc"},"schema_version":"1.0","source":{"id":"2503.10872","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.10872","created_at":"2026-07-05T10:37:07Z"},{"alias_kind":"arxiv_version","alias_value":"2503.10872v2","created_at":"2026-07-05T10:37:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.10872","created_at":"2026-07-05T10:37:07Z"},{"alias_kind":"pith_short_12","alias_value":"H3PYFHE5QLLV","created_at":"2026-07-05T10:37:07Z"},{"alias_kind":"pith_short_16","alias_value":"H3PYFHE5QLLVDDPS","created_at":"2026-07-05T10:37:07Z"},{"alias_kind":"pith_short_8","alias_value":"H3PYFHE5","created_at":"2026-07-05T10:37:07Z"}],"graph_snapshots":[{"event_id":"sha256:6d020c9b1d053a6742511b890ce14bdcff5f62a3091bf6a89297f46cac4914cd","target":"graph","created_at":"2026-07-05T10:37:07Z","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/2503.10872/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision Language Models (VLMs) have demonstrated impressive inference capabilities, but remain vulnerable to jailbreak attacks that can induce harmful or unethical responses. Existing defence methods are predominantly white-box approaches that require access to model parameters and extensive modifications, making them costly and impractical for many real-world scenarios. Although some black-box defences have been proposed, they often impose input constraints or require multiple queries, limiting their effectiveness in safety-critical tasks such as autonomous driving. To address these challenges","authors_text":"Jinwei Hu, Wenjie Ruan, Xiangyu Yin, Xiaowei Huang, Xingyu Zhao, Yi Dong, Yi Qi, Zhen Chen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T20:39:31Z","title":"TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.10872","kind":"arxiv","version":2},"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:b2969afa1635f525d2e46891a3d927ad9b6a315dab36b3422d8ae2e004d7ab1a","target":"record","created_at":"2026-07-05T10:37:07Z","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":"9e92d294b8c3c1f1516bb0fb669151e8d39bcf60c9a14b590dd31723386c4362","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-13T20:39:31Z","title_canon_sha256":"13bf3000b9407715814d2e23aadec6180414348db1108eae37e2f5f4dacf41cc"},"schema_version":"1.0","source":{"id":"2503.10872","kind":"arxiv","version":2}},"canonical_sha256":"3edf829c9d82d7518df23893e02c2440c522269bde03deada618dee09f4d9faa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3edf829c9d82d7518df23893e02c2440c522269bde03deada618dee09f4d9faa","first_computed_at":"2026-07-05T10:37:07.688526Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:37:07.688526Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oZEHsSDrOoMgpH6wUN7P08TEKtV5cIUV061RWbcFPhrnU8mCZ97mWwTOzA6wXnSQS4ZqE3KfRsouOAdtwIQsDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:37:07.689019Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.10872","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2969afa1635f525d2e46891a3d927ad9b6a315dab36b3422d8ae2e004d7ab1a","sha256:6d020c9b1d053a6742511b890ce14bdcff5f62a3091bf6a89297f46cac4914cd"],"state_sha256":"077ac65c962a0aa10c2abd4d22e50bacedea44ec7c6bee7f2aa567aa9d3aa9a1"}