{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RWRJIAWKCJVJW6CWM3KHD7WKIG","short_pith_number":"pith:RWRJIAWK","canonical_record":{"source":{"id":"2402.10882","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-16T18:36:36Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3606558207f07c982ab962a923c6b8caca705fd3df2878230ff56030361a389f","abstract_canon_sha256":"440909815240b193f0ac63a13802b48fd3246eff4a9f64a6b78b104e24959a05"},"schema_version":"1.0"},"canonical_sha256":"8da29402ca126a9b785666d471feca419eca686c1e7dec59f7cf6e995c64989d","source":{"kind":"arxiv","id":"2402.10882","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10882","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10882v6","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10882","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"pith_short_12","alias_value":"RWRJIAWKCJVJ","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"pith_short_16","alias_value":"RWRJIAWKCJVJW6CW","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"pith_short_8","alias_value":"RWRJIAWK","created_at":"2026-07-05T09:47:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RWRJIAWKCJVJW6CWM3KHD7WKIG","target":"record","payload":{"canonical_record":{"source":{"id":"2402.10882","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-16T18:36:36Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"3606558207f07c982ab962a923c6b8caca705fd3df2878230ff56030361a389f","abstract_canon_sha256":"440909815240b193f0ac63a13802b48fd3246eff4a9f64a6b78b104e24959a05"},"schema_version":"1.0"},"canonical_sha256":"8da29402ca126a9b785666d471feca419eca686c1e7dec59f7cf6e995c64989d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:54.420784Z","signature_b64":"R3+vNQ2GzhPKJl6Lq/KnZ9uzpR4i/yvPkLoON72n2gMgmD1BXIuSXzfsab/55wHNz4YMN6br1kYsILu6yjP8CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8da29402ca126a9b785666d471feca419eca686c1e7dec59f7cf6e995c64989d","last_reissued_at":"2026-07-05T09:47:54.420368Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:54.420368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.10882","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:47:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DKq5yYE1vLhWu2T4TLZ9JKCe31XeCCLbJCCTwt4n2KZhYP+2pbUcPcISfK+UdHiINabyxgZYzxrgo8enxm5EBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:35:07.007991Z"},"content_sha256":"15a019cdbe225f53ba5683434a65d11986a77d60e5019f40b2b15120c9c00182","schema_version":"1.0","event_id":"sha256:15a019cdbe225f53ba5683434a65d11986a77d60e5019f40b2b15120c9c00182"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RWRJIAWKCJVJW6CWM3KHD7WKIG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Universal Prompt Optimizer for Safe Text-to-Image Generation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Hongcheng Gao, Suhang Wang, Xiang Zhang, Yueze Wang, Zongyu Wu","submitted_at":"2024-02-16T18:36:36Z","abstract_excerpt":"Text-to-Image (T2I) models have shown great performance in generating images based on textual prompts. However, these models are vulnerable to unsafe input to generate unsafe content like sexual, harassment and illegal-activity images. Existing studies based on image checker, model fine-tuning and embedding blocking are impractical in real-world applications. Hence, we propose the first universal prompt optimizer for safe T2I (POSI) generation in black-box scenario. We first construct a dataset consisting of toxic-clean prompt pairs by GPT-3.5 Turbo. To guide the optimizer to have the ability "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10882","kind":"arxiv","version":6},"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/2402.10882/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":"2026-07-05T09:47:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yHOkD8jRq1GmeNLlJWYza5JZHOJ/52XwuuomydPFAXP9irTbyITAfIFLokxgqB2K0itKVGrix/3UqHMXKHLeCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:35:07.008590Z"},"content_sha256":"52b334bd31dfb0fa4b045edf7b814dd7c89d05ab9e76f9ed55363470e25fc0a9","schema_version":"1.0","event_id":"sha256:52b334bd31dfb0fa4b045edf7b814dd7c89d05ab9e76f9ed55363470e25fc0a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RWRJIAWKCJVJW6CWM3KHD7WKIG/bundle.json","state_url":"https://pith.science/pith/RWRJIAWKCJVJW6CWM3KHD7WKIG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RWRJIAWKCJVJW6CWM3KHD7WKIG/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":"2026-08-06T00:35:07Z","links":{"resolver":"https://pith.science/pith/RWRJIAWKCJVJW6CWM3KHD7WKIG","bundle":"https://pith.science/pith/RWRJIAWKCJVJW6CWM3KHD7WKIG/bundle.json","state":"https://pith.science/pith/RWRJIAWKCJVJW6CWM3KHD7WKIG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RWRJIAWKCJVJW6CWM3KHD7WKIG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RWRJIAWKCJVJW6CWM3KHD7WKIG","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":"440909815240b193f0ac63a13802b48fd3246eff4a9f64a6b78b104e24959a05","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-16T18:36:36Z","title_canon_sha256":"3606558207f07c982ab962a923c6b8caca705fd3df2878230ff56030361a389f"},"schema_version":"1.0","source":{"id":"2402.10882","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10882","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10882v6","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10882","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"pith_short_12","alias_value":"RWRJIAWKCJVJ","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"pith_short_16","alias_value":"RWRJIAWKCJVJW6CW","created_at":"2026-07-05T09:47:54Z"},{"alias_kind":"pith_short_8","alias_value":"RWRJIAWK","created_at":"2026-07-05T09:47:54Z"}],"graph_snapshots":[{"event_id":"sha256:52b334bd31dfb0fa4b045edf7b814dd7c89d05ab9e76f9ed55363470e25fc0a9","target":"graph","created_at":"2026-07-05T09:47:54Z","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/2402.10882/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text-to-Image (T2I) models have shown great performance in generating images based on textual prompts. However, these models are vulnerable to unsafe input to generate unsafe content like sexual, harassment and illegal-activity images. Existing studies based on image checker, model fine-tuning and embedding blocking are impractical in real-world applications. Hence, we propose the first universal prompt optimizer for safe T2I (POSI) generation in black-box scenario. We first construct a dataset consisting of toxic-clean prompt pairs by GPT-3.5 Turbo. To guide the optimizer to have the ability ","authors_text":"Hongcheng Gao, Suhang Wang, Xiang Zhang, Yueze Wang, Zongyu Wu","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-16T18:36:36Z","title":"Universal Prompt Optimizer for Safe Text-to-Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10882","kind":"arxiv","version":6},"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":"sha256:15a019cdbe225f53ba5683434a65d11986a77d60e5019f40b2b15120c9c00182","target":"record","created_at":"2026-07-05T09:47:54Z","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":"440909815240b193f0ac63a13802b48fd3246eff4a9f64a6b78b104e24959a05","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-02-16T18:36:36Z","title_canon_sha256":"3606558207f07c982ab962a923c6b8caca705fd3df2878230ff56030361a389f"},"schema_version":"1.0","source":{"id":"2402.10882","kind":"arxiv","version":6}},"canonical_sha256":"8da29402ca126a9b785666d471feca419eca686c1e7dec59f7cf6e995c64989d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8da29402ca126a9b785666d471feca419eca686c1e7dec59f7cf6e995c64989d","first_computed_at":"2026-07-05T09:47:54.420368Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:54.420368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R3+vNQ2GzhPKJl6Lq/KnZ9uzpR4i/yvPkLoON72n2gMgmD1BXIuSXzfsab/55wHNz4YMN6br1kYsILu6yjP8CA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:54.420784Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.10882","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15a019cdbe225f53ba5683434a65d11986a77d60e5019f40b2b15120c9c00182","sha256:52b334bd31dfb0fa4b045edf7b814dd7c89d05ab9e76f9ed55363470e25fc0a9"],"state_sha256":"ce456a5fceb5574c4645d49962c2e2e88167241a9549467ff77493b7c76ed670"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aLjhubQBLdgcJPrGtQXAspSaFiJDv/Gp5pzLP9St7QJhpqTmUYLETBPM801+2b6VZbjUyWKUklEFk5n5dOE1DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T00:35:07.035492Z","bundle_sha256":"c39a664ab240ff792f6343a7d0ebd00aad11df68df806fca1e9b93bf62ebe178"}}