{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W3KFXE7KDHXICWL2WHI7KHEUSE","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":"f429579a71c3dd8a598d99e60ecdccd440c3e26ce8167b5f4e0ffc9963be406d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T17:44:32Z","title_canon_sha256":"e83c1591cb4a59fbcd5eaad0c6622fcb8a7189aec4fc1ef33c7169d042eb3794"},"schema_version":"1.0","source":{"id":"2406.05113","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.05113","created_at":"2026-07-05T11:17:21Z"},{"alias_kind":"arxiv_version","alias_value":"2406.05113v3","created_at":"2026-07-05T11:17:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.05113","created_at":"2026-07-05T11:17:21Z"},{"alias_kind":"pith_short_12","alias_value":"W3KFXE7KDHXI","created_at":"2026-07-05T11:17:21Z"},{"alias_kind":"pith_short_16","alias_value":"W3KFXE7KDHXICWL2","created_at":"2026-07-05T11:17:21Z"},{"alias_kind":"pith_short_8","alias_value":"W3KFXE7K","created_at":"2026-07-05T11:17:21Z"}],"graph_snapshots":[{"event_id":"sha256:b84b2afcb38c292fa6ab600592985d30b72da1f3b32600ded46c4619203bf0ef","target":"graph","created_at":"2026-07-05T11:17:21Z","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/2406.05113/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces LlavaGuard, a suite of VLM-based vision safeguards that address the critical need for reliable guardrails in the era of large-scale data and models. To this end, we establish a novel open framework, describing a customizable safety taxonomy, data preprocessing, augmentation, and training setup. For teaching a VLM safeguard on safety, we further create a multimodal safety dataset with high-quality human expert annotations, where each image is labeled with a safety rating, category, and rationale. We also employ advanced augmentations to support context-specific assessments","authors_text":"Felix Friedrich, Kristian Kersting, Lukas Helff, Manuel Brack, Patrick Schramowski","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T17:44:32Z","title":"LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05113","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":"sha256:3655a76f853b5b1272909e263ecbf9ddd580df7c96f9f40b815ead5da68366c4","target":"record","created_at":"2026-07-05T11:17:21Z","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":"f429579a71c3dd8a598d99e60ecdccd440c3e26ce8167b5f4e0ffc9963be406d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T17:44:32Z","title_canon_sha256":"e83c1591cb4a59fbcd5eaad0c6622fcb8a7189aec4fc1ef33c7169d042eb3794"},"schema_version":"1.0","source":{"id":"2406.05113","kind":"arxiv","version":3}},"canonical_sha256":"b6d45b93ea19ee81597ab1d1f51c94911de752e90c74f0f08410be6783c6d390","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6d45b93ea19ee81597ab1d1f51c94911de752e90c74f0f08410be6783c6d390","first_computed_at":"2026-07-05T11:17:21.883030Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:21.883030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/PHCDcChxq7n8juCks7KgTUNvfYrOv7T+vvtawp/gqGcOyoSgRAoL1gGhnAmCjb+/xda0JqTH8c/z1kfKLkzAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:21.883519Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.05113","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3655a76f853b5b1272909e263ecbf9ddd580df7c96f9f40b815ead5da68366c4","sha256:b84b2afcb38c292fa6ab600592985d30b72da1f3b32600ded46c4619203bf0ef"],"state_sha256":"c20ef75685bc931180ac38339884a8aceed0bd0a51658095651e34010848bbf1"}