{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AIWVJNPISTTNWOBF66KZCDKR55","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":"24a75c9d73cc157770af24cc3022f3059635b5b544243b3571ba67c30a239d88","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T18:59:52Z","title_canon_sha256":"823b1331ba25f345fea1bc0a86967a72d40c885b30d2c2f10eb2a4333a09d329"},"schema_version":"1.0","source":{"id":"2412.10493","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10493","created_at":"2026-07-05T11:29:04Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10493v2","created_at":"2026-07-05T11:29:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10493","created_at":"2026-07-05T11:29:04Z"},{"alias_kind":"pith_short_12","alias_value":"AIWVJNPISTTN","created_at":"2026-07-05T11:29:04Z"},{"alias_kind":"pith_short_16","alias_value":"AIWVJNPISTTNWOBF","created_at":"2026-07-05T11:29:04Z"},{"alias_kind":"pith_short_8","alias_value":"AIWVJNPI","created_at":"2026-07-05T11:29:04Z"}],"graph_snapshots":[{"event_id":"sha256:2595f8c4ac3ed917cf1fc25b0416928203b7fc14c1b597583f666392dd3972f9","target":"graph","created_at":"2026-07-05T11:29:04Z","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/2412.10493/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-image (T2I) models are widespread, but their limited safety guardrails expose end users to harmful content and potentially allow for model misuse. Current safety measures are typically limited to text-based filtering or concept removal strategies, able to remove just a few concepts from the model's generative capabilities. In this work, we introduce AlignGuard, a method for safety alignment of T2I models. We enable the application of Direct Preference Optimization (DPO) for safety purposes in T2I models by synthetically generating a dataset of harmful and safe image-text pairs, which w","authors_text":"Ashkan Khakzar, Fabio Pizzati, I Chieh Chen, Jindong Gu, Jipeng Zhang, Philip Torr, Qifeng Chen, Renjie Pi, Runtao Liu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T18:59:52Z","title":"AlignGuard: Scalable Safety Alignment for Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10493","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:d69ad07be692dd7a59e341102585fcae1c2831dffb7f5c2336ffc258e96bbbbf","target":"record","created_at":"2026-07-05T11:29:04Z","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":"24a75c9d73cc157770af24cc3022f3059635b5b544243b3571ba67c30a239d88","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T18:59:52Z","title_canon_sha256":"823b1331ba25f345fea1bc0a86967a72d40c885b30d2c2f10eb2a4333a09d329"},"schema_version":"1.0","source":{"id":"2412.10493","kind":"arxiv","version":2}},"canonical_sha256":"022d54b5e894e6db3825f795910d51ef5fad76864cb5f2cbc9576a5b5df43a8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"022d54b5e894e6db3825f795910d51ef5fad76864cb5f2cbc9576a5b5df43a8a","first_computed_at":"2026-07-05T11:29:04.606552Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:04.606552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BML+kAlPjDuBtZzlnfNB5HNCvsj4n/n+Bxs3kxgQbQcBSs1XyAIwm/3bAhSswajABqlNs2k7vNm3LSIxkQ5iDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:04.607067Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10493","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d69ad07be692dd7a59e341102585fcae1c2831dffb7f5c2336ffc258e96bbbbf","sha256:2595f8c4ac3ed917cf1fc25b0416928203b7fc14c1b597583f666392dd3972f9"],"state_sha256":"d0d9a823546d0e768bd575ffbecc1b0aad0a16616568055003c024f52eee60ca"}