{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:PZDBD4QHAEYXN6OIMKTXMUJ4KO","short_pith_number":"pith:PZDBD4QH","canonical_record":{"source":{"id":"2312.16145","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T18:08:48Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8ee2bd1b16fcd38adb7b964cb25f0df7a2b63832d8e1c809be0dbeb304a183ed","abstract_canon_sha256":"af0f468ba5df8f656aff8a21be5600a93efbda2ddc5df3060f88f841419f13c3"},"schema_version":"1.0"},"canonical_sha256":"7e4611f207013176f9c862a776513c53a6945a4fd03f4601b997a014827a2ced","source":{"kind":"arxiv","id":"2312.16145","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16145","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16145v2","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16145","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_12","alias_value":"PZDBD4QHAEYX","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_16","alias_value":"PZDBD4QHAEYXN6OI","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_8","alias_value":"PZDBD4QH","created_at":"2026-07-05T07:54:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:PZDBD4QHAEYXN6OIMKTXMUJ4KO","target":"record","payload":{"canonical_record":{"source":{"id":"2312.16145","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T18:08:48Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8ee2bd1b16fcd38adb7b964cb25f0df7a2b63832d8e1c809be0dbeb304a183ed","abstract_canon_sha256":"af0f468ba5df8f656aff8a21be5600a93efbda2ddc5df3060f88f841419f13c3"},"schema_version":"1.0"},"canonical_sha256":"7e4611f207013176f9c862a776513c53a6945a4fd03f4601b997a014827a2ced","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:54:54.020748Z","signature_b64":"cAbHe+hJPc3vauSjtBxDjSzpYme6Y8+UpQJKKnm7leWVMCtKu/bYIq3pAGSo0PStjsVxZt+acGjQoA1RDoMMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e4611f207013176f9c862a776513c53a6945a4fd03f4601b997a014827a2ced","last_reissued_at":"2026-07-05T07:54:54.020331Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:54:54.020331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.16145","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":"2026-07-05T07:54:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QoyMXiZ6kHRPEDzaiPxekGcDws0OIzIvMHxsSw6sa9MkwDeTyLb9h6lLLedn7aNsH4Zs4EvEL81LOopf3oFLCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T09:11:28.709933Z"},"content_sha256":"da6d5c41ed5d5e74b490f92db883650e50d39c91a56801fb3385f4b530af4db4","schema_version":"1.0","event_id":"sha256:da6d5c41ed5d5e74b490f92db883650e50d39c91a56801fb3385f4b530af4db4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:PZDBD4QHAEYXN6OIMKTXMUJ4KO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Guiguang Ding, Haiwen Hong, Hui Chen, Hui Xue, Jungong Han, Mengyao Lyu, Xuan Jin, Yuan He, Yuhong Yang","submitted_at":"2023-12-26T18:08:48Z","abstract_excerpt":"The prevalent use of commercial and open-source diffusion models (DMs) for text-to-image generation prompts risk mitigation to prevent undesired behaviors. Existing concept erasing methods in academia are all based on full parameter or specification-based fine-tuning, from which we observe the following issues: 1) Generation alternation towards erosion: Parameter drift during target elimination causes alternations and potential deformations across all generations, even eroding other concepts at varying degrees, which is more evident with multi-concept erased; 2) Transfer inability & deployment"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16145","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/2312.16145/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":"2026-07-05T07:54:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RFHUEUoJzPGAYp2q4C66eBJRGQ9YnO9U2q+dp7TOh3SI61oK4N1n76PdHeJcfXwwH5BgzoYQIy+4hmXjN9YlDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T09:11:28.710300Z"},"content_sha256":"6cadad23f62ccb04564f57713454e17e02d74811adad8d1d7f81fd208440713f","schema_version":"1.0","event_id":"sha256:6cadad23f62ccb04564f57713454e17e02d74811adad8d1d7f81fd208440713f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PZDBD4QHAEYXN6OIMKTXMUJ4KO/bundle.json","state_url":"https://pith.science/pith/PZDBD4QHAEYXN6OIMKTXMUJ4KO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PZDBD4QHAEYXN6OIMKTXMUJ4KO/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":"2026-07-06T09:11:28Z","links":{"resolver":"https://pith.science/pith/PZDBD4QHAEYXN6OIMKTXMUJ4KO","bundle":"https://pith.science/pith/PZDBD4QHAEYXN6OIMKTXMUJ4KO/bundle.json","state":"https://pith.science/pith/PZDBD4QHAEYXN6OIMKTXMUJ4KO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PZDBD4QHAEYXN6OIMKTXMUJ4KO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PZDBD4QHAEYXN6OIMKTXMUJ4KO","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":"af0f468ba5df8f656aff8a21be5600a93efbda2ddc5df3060f88f841419f13c3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T18:08:48Z","title_canon_sha256":"8ee2bd1b16fcd38adb7b964cb25f0df7a2b63832d8e1c809be0dbeb304a183ed"},"schema_version":"1.0","source":{"id":"2312.16145","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.16145","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"arxiv_version","alias_value":"2312.16145v2","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.16145","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_12","alias_value":"PZDBD4QHAEYX","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_16","alias_value":"PZDBD4QHAEYXN6OI","created_at":"2026-07-05T07:54:54Z"},{"alias_kind":"pith_short_8","alias_value":"PZDBD4QH","created_at":"2026-07-05T07:54:54Z"}],"graph_snapshots":[{"event_id":"sha256:6cadad23f62ccb04564f57713454e17e02d74811adad8d1d7f81fd208440713f","target":"graph","created_at":"2026-07-05T07:54:54Z","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/2312.16145/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The prevalent use of commercial and open-source diffusion models (DMs) for text-to-image generation prompts risk mitigation to prevent undesired behaviors. Existing concept erasing methods in academia are all based on full parameter or specification-based fine-tuning, from which we observe the following issues: 1) Generation alternation towards erosion: Parameter drift during target elimination causes alternations and potential deformations across all generations, even eroding other concepts at varying degrees, which is more evident with multi-concept erased; 2) Transfer inability & deployment","authors_text":"Guiguang Ding, Haiwen Hong, Hui Chen, Hui Xue, Jungong Han, Mengyao Lyu, Xuan Jin, Yuan He, Yuhong Yang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T18:08:48Z","title":"One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.16145","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:da6d5c41ed5d5e74b490f92db883650e50d39c91a56801fb3385f4b530af4db4","target":"record","created_at":"2026-07-05T07:54:54Z","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":"af0f468ba5df8f656aff8a21be5600a93efbda2ddc5df3060f88f841419f13c3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-26T18:08:48Z","title_canon_sha256":"8ee2bd1b16fcd38adb7b964cb25f0df7a2b63832d8e1c809be0dbeb304a183ed"},"schema_version":"1.0","source":{"id":"2312.16145","kind":"arxiv","version":2}},"canonical_sha256":"7e4611f207013176f9c862a776513c53a6945a4fd03f4601b997a014827a2ced","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e4611f207013176f9c862a776513c53a6945a4fd03f4601b997a014827a2ced","first_computed_at":"2026-07-05T07:54:54.020331Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:54.020331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cAbHe+hJPc3vauSjtBxDjSzpYme6Y8+UpQJKKnm7leWVMCtKu/bYIq3pAGSo0PStjsVxZt+acGjQoA1RDoMMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:54.020748Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.16145","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da6d5c41ed5d5e74b490f92db883650e50d39c91a56801fb3385f4b530af4db4","sha256:6cadad23f62ccb04564f57713454e17e02d74811adad8d1d7f81fd208440713f"],"state_sha256":"0e65a1dcff0e3c8d579a65678d752b837405ce0e8a5e27026d9109d866861b20"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HDJoNfvDXRsOdbR6cohQkJ2Qsl+DDJfcg4xmEBh5lmQ/LO1iOVV3Evf2k2wc/MTY3LOGIkXdMH6m6T/EnaBQAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T09:11:28.712266Z","bundle_sha256":"780b41a647d8a1443a099649856658a41116df8caccfda8431691b78b8fb9dcc"}}