{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:A2HSNOHH22Y4J6FT55CATVDM7C","short_pith_number":"pith:A2HSNOHH","canonical_record":{"source":{"id":"2410.12761","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T17:32:23Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b3d3aaccc703d35da1d685b7ff5526b102a9673c305e32f3ea5994cfbceffc87","abstract_canon_sha256":"d1ed92b7195dc81c17b55ed1a702180442e3e9efb3cc9cfe22f5cdc1b023aca9"},"schema_version":"1.0"},"canonical_sha256":"068f26b8e7d6b1c4f8b3ef4409d46cf8aadf10fa72007d666a146470da1fd43e","source":{"kind":"arxiv","id":"2410.12761","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12761","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12761v2","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12761","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"pith_short_12","alias_value":"A2HSNOHH22Y4","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"pith_short_16","alias_value":"A2HSNOHH22Y4J6FT","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"pith_short_8","alias_value":"A2HSNOHH","created_at":"2026-07-05T10:30:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:A2HSNOHH22Y4J6FT55CATVDM7C","target":"record","payload":{"canonical_record":{"source":{"id":"2410.12761","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T17:32:23Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b3d3aaccc703d35da1d685b7ff5526b102a9673c305e32f3ea5994cfbceffc87","abstract_canon_sha256":"d1ed92b7195dc81c17b55ed1a702180442e3e9efb3cc9cfe22f5cdc1b023aca9"},"schema_version":"1.0"},"canonical_sha256":"068f26b8e7d6b1c4f8b3ef4409d46cf8aadf10fa72007d666a146470da1fd43e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:30:57.244116Z","signature_b64":"vkXSpN2ZZNxanf1yWq9vctPXnYQvnMOOQCVjwMmGgjKVowuz4orxFXdGlotRcKVPbPG0jpu0v37/MBOlq50ODg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"068f26b8e7d6b1c4f8b3ef4409d46cf8aadf10fa72007d666a146470da1fd43e","last_reissued_at":"2026-07-05T10:30:57.243398Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:30:57.243398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.12761","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:30:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QXOtuGQo8osNbfzHZrLJHgc+5FdLIF2/4m/YbdSulrLPmhp6BCOLTwjwEHm//FDmWuZSHuH+5FptT0nu9CO9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:16:15.865981Z"},"content_sha256":"98e5ee3dadfc84438d3fb4164bed1acbbbf6806549ee5254ba51844d136b5552","schema_version":"1.0","event_id":"sha256:98e5ee3dadfc84438d3fb4164bed1acbbbf6806549ee5254ba51844d136b5552"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:A2HSNOHH22Y4J6FT55CATVDM7C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Huaxiu Yao, Jaehong Yoon, Mohit Bansal, Shoubin Yu, Vaidehi Patil","submitted_at":"2024-10-16T17:32:23Z","abstract_excerpt":"Recent advances in diffusion models have significantly enhanced their ability to generate high-quality images and videos, but they have also increased the risk of producing unsafe content. Existing unlearning/editing-based methods for safe generation remove harmful concepts from models but face several challenges: (1) They cannot instantly remove harmful concepts without training. (2) Their safe generation capabilities depend on collected training data. (3) They alter model weights, risking degradation in quality for content unrelated to toxic concepts. To address these, we propose SAFREE, a n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12761","kind":"arxiv","version":2},"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/2410.12761/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":"2026-07-05T10:30:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H3EEaPutS+0O5iK1qZRsHLVUhggqnP3PTdGukm4EaQ7FERYy4NRDSF5Sp3wH1NS9mxclLOBAHQ7GBs4knHIICw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:16:15.866489Z"},"content_sha256":"71447b8b445dcc26e0a55e6ae1820163ac4837b0415ed8164178abbeaba39ea9","schema_version":"1.0","event_id":"sha256:71447b8b445dcc26e0a55e6ae1820163ac4837b0415ed8164178abbeaba39ea9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A2HSNOHH22Y4J6FT55CATVDM7C/bundle.json","state_url":"https://pith.science/pith/A2HSNOHH22Y4J6FT55CATVDM7C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A2HSNOHH22Y4J6FT55CATVDM7C/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":"2026-08-10T06:16:15Z","links":{"resolver":"https://pith.science/pith/A2HSNOHH22Y4J6FT55CATVDM7C","bundle":"https://pith.science/pith/A2HSNOHH22Y4J6FT55CATVDM7C/bundle.json","state":"https://pith.science/pith/A2HSNOHH22Y4J6FT55CATVDM7C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A2HSNOHH22Y4J6FT55CATVDM7C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:A2HSNOHH22Y4J6FT55CATVDM7C","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":"d1ed92b7195dc81c17b55ed1a702180442e3e9efb3cc9cfe22f5cdc1b023aca9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T17:32:23Z","title_canon_sha256":"b3d3aaccc703d35da1d685b7ff5526b102a9673c305e32f3ea5994cfbceffc87"},"schema_version":"1.0","source":{"id":"2410.12761","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.12761","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"arxiv_version","alias_value":"2410.12761v2","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.12761","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"pith_short_12","alias_value":"A2HSNOHH22Y4","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"pith_short_16","alias_value":"A2HSNOHH22Y4J6FT","created_at":"2026-07-05T10:30:57Z"},{"alias_kind":"pith_short_8","alias_value":"A2HSNOHH","created_at":"2026-07-05T10:30:57Z"}],"graph_snapshots":[{"event_id":"sha256:71447b8b445dcc26e0a55e6ae1820163ac4837b0415ed8164178abbeaba39ea9","target":"graph","created_at":"2026-07-05T10:30:57Z","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/2410.12761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in diffusion models have significantly enhanced their ability to generate high-quality images and videos, but they have also increased the risk of producing unsafe content. Existing unlearning/editing-based methods for safe generation remove harmful concepts from models but face several challenges: (1) They cannot instantly remove harmful concepts without training. (2) Their safe generation capabilities depend on collected training data. (3) They alter model weights, risking degradation in quality for content unrelated to toxic concepts. To address these, we propose SAFREE, a n","authors_text":"Huaxiu Yao, Jaehong Yoon, Mohit Bansal, Shoubin Yu, Vaidehi Patil","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T17:32:23Z","title":"SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.12761","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":"sha256:98e5ee3dadfc84438d3fb4164bed1acbbbf6806549ee5254ba51844d136b5552","target":"record","created_at":"2026-07-05T10:30:57Z","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":"d1ed92b7195dc81c17b55ed1a702180442e3e9efb3cc9cfe22f5cdc1b023aca9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-16T17:32:23Z","title_canon_sha256":"b3d3aaccc703d35da1d685b7ff5526b102a9673c305e32f3ea5994cfbceffc87"},"schema_version":"1.0","source":{"id":"2410.12761","kind":"arxiv","version":2}},"canonical_sha256":"068f26b8e7d6b1c4f8b3ef4409d46cf8aadf10fa72007d666a146470da1fd43e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"068f26b8e7d6b1c4f8b3ef4409d46cf8aadf10fa72007d666a146470da1fd43e","first_computed_at":"2026-07-05T10:30:57.243398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:30:57.243398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vkXSpN2ZZNxanf1yWq9vctPXnYQvnMOOQCVjwMmGgjKVowuz4orxFXdGlotRcKVPbPG0jpu0v37/MBOlq50ODg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:30:57.244116Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.12761","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98e5ee3dadfc84438d3fb4164bed1acbbbf6806549ee5254ba51844d136b5552","sha256:71447b8b445dcc26e0a55e6ae1820163ac4837b0415ed8164178abbeaba39ea9"],"state_sha256":"323d0cdf5be25d2055e290e7255a45f6abb6e7b98db9b20775e7c9fd0bd0d26b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zr+CVhZHcxqsPu5hMSuP0lY6av+FIFkxD8aUfa1cEIMzHuEEj+obCqkt/tepWIBwaOyMMlfOVncQcnleY+3qDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:16:15.870862Z","bundle_sha256":"49839f21888d2d2bd02a07d887c3f10513811ae27e36412ee54c19910da30e66"}}