{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:W3KFXE7KDHXICWL2WHI7KHEUSE","short_pith_number":"pith:W3KFXE7K","canonical_record":{"source":{"id":"2406.05113","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T17:44:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e83c1591cb4a59fbcd5eaad0c6622fcb8a7189aec4fc1ef33c7169d042eb3794","abstract_canon_sha256":"f429579a71c3dd8a598d99e60ecdccd440c3e26ce8167b5f4e0ffc9963be406d"},"schema_version":"1.0"},"canonical_sha256":"b6d45b93ea19ee81597ab1d1f51c94911de752e90c74f0f08410be6783c6d390","source":{"kind":"arxiv","id":"2406.05113","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:W3KFXE7KDHXICWL2WHI7KHEUSE","target":"record","payload":{"canonical_record":{"source":{"id":"2406.05113","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-07T17:44:32Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e83c1591cb4a59fbcd5eaad0c6622fcb8a7189aec4fc1ef33c7169d042eb3794","abstract_canon_sha256":"f429579a71c3dd8a598d99e60ecdccd440c3e26ce8167b5f4e0ffc9963be406d"},"schema_version":"1.0"},"canonical_sha256":"b6d45b93ea19ee81597ab1d1f51c94911de752e90c74f0f08410be6783c6d390","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:21.883519Z","signature_b64":"/PHCDcChxq7n8juCks7KgTUNvfYrOv7T+vvtawp/gqGcOyoSgRAoL1gGhnAmCjb+/xda0JqTH8c/z1kfKLkzAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6d45b93ea19ee81597ab1d1f51c94911de752e90c74f0f08410be6783c6d390","last_reissued_at":"2026-07-05T11:17:21.883030Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:21.883030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.05113","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jdZluFlx5Fe5OKK8G67Q31WSh+BnV6S90hFkd+8tx/Wf5MypYuOY2fr39oXtzAASl37YknfVh5Ud5o4nJAkRAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:07:08.076243Z"},"content_sha256":"3655a76f853b5b1272909e263ecbf9ddd580df7c96f9f40b815ead5da68366c4","schema_version":"1.0","event_id":"sha256:3655a76f853b5b1272909e263ecbf9ddd580df7c96f9f40b815ead5da68366c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:W3KFXE7KDHXICWL2WHI7KHEUSE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Felix Friedrich, Kristian Kersting, Lukas Helff, Manuel Brack, Patrick Schramowski","submitted_at":"2024-06-07T17:44:32Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.05113","kind":"arxiv","version":3},"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/2406.05113/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":"2026-07-05T11:17:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"laVV6ZYOhwkVQ90V3DgsoKhNLy0mD2marZA77+lPTwcFORBn/xqSb/hN7EwQxCQNGSiUoqSd84AaGckKEua1DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T12:07:08.077249Z"},"content_sha256":"b84b2afcb38c292fa6ab600592985d30b72da1f3b32600ded46c4619203bf0ef","schema_version":"1.0","event_id":"sha256:b84b2afcb38c292fa6ab600592985d30b72da1f3b32600ded46c4619203bf0ef"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W3KFXE7KDHXICWL2WHI7KHEUSE/bundle.json","state_url":"https://pith.science/pith/W3KFXE7KDHXICWL2WHI7KHEUSE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W3KFXE7KDHXICWL2WHI7KHEUSE/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":"2026-08-04T12:07:08Z","links":{"resolver":"https://pith.science/pith/W3KFXE7KDHXICWL2WHI7KHEUSE","bundle":"https://pith.science/pith/W3KFXE7KDHXICWL2WHI7KHEUSE/bundle.json","state":"https://pith.science/pith/W3KFXE7KDHXICWL2WHI7KHEUSE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W3KFXE7KDHXICWL2WHI7KHEUSE/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ou+kxpteg+g/iRTTh73k0GxQRr4KaFaOjRky+wqBa0JUsCkS5nL6Q6ljbxENGPZQxDYYDUgd1i0h0WVwUaOAAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T12:07:08.084492Z","bundle_sha256":"cd845c962fb37c9d34548d9e5f3f46a0880d6a78ccb46a5449bfdb1b0e760476"}}