{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CPKZSS35LDVUI56KWJYMCG2SRR","short_pith_number":"pith:CPKZSS35","canonical_record":{"source":{"id":"2412.04852","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-06T08:44:18Z","cross_cats_sorted":[],"title_canon_sha256":"da135b227a157e97337a239ed7d9c1d68b09c2b92fbfac451efb51b9236009c8","abstract_canon_sha256":"bd701f6ed886e2c70dfc68aff656e382febc8e9f95b113846794cb3b017db8c0"},"schema_version":"1.0"},"canonical_sha256":"13d5994b7d58eb4477cab270c11b528c458a334562e42129b75f39dae30eb9b9","source":{"kind":"arxiv","id":"2412.04852","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04852","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04852v2","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04852","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"pith_short_12","alias_value":"CPKZSS35LDVU","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"pith_short_16","alias_value":"CPKZSS35LDVUI56K","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"pith_short_8","alias_value":"CPKZSS35","created_at":"2026-07-05T10:41:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CPKZSS35LDVUI56KWJYMCG2SRR","target":"record","payload":{"canonical_record":{"source":{"id":"2412.04852","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-06T08:44:18Z","cross_cats_sorted":[],"title_canon_sha256":"da135b227a157e97337a239ed7d9c1d68b09c2b92fbfac451efb51b9236009c8","abstract_canon_sha256":"bd701f6ed886e2c70dfc68aff656e382febc8e9f95b113846794cb3b017db8c0"},"schema_version":"1.0"},"canonical_sha256":"13d5994b7d58eb4477cab270c11b528c458a334562e42129b75f39dae30eb9b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:41:18.373118Z","signature_b64":"p+2CluZZNubC3PTnoLx1ZIs2js6RWFS96uDeCpk4WQqsKWsoR8jW7VlTTC4VquwcNozzVx39nQOroVCQ+fD+CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"13d5994b7d58eb4477cab270c11b528c458a334562e42129b75f39dae30eb9b9","last_reissued_at":"2026-07-05T10:41:18.372641Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:41:18.372641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.04852","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":"2026-07-05T10:41:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ltZOYD3OMjNpGZLNuVO3pBeMZtT+/Al00+SP4idZhH8yheDdGpewMivzHBolJ0hefjzXE0M7dxpHuDbhusCuCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:28:12.441982Z"},"content_sha256":"938f181e6d9c3189207bf9020be82b34e286ce68683f1e192b7989f7e34571fb","schema_version":"1.0","event_id":"sha256:938f181e6d9c3189207bf9020be82b34e286ce68683f1e192b7989f7e34571fb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CPKZSS35LDVUI56KWJYMCG2SRR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Heng Huang, Jiacheng Zhu, Junfeng Guo, Muhao Chen, Yiming Li, Zhengzhong Tu, Zilan Wang","submitted_at":"2024-12-06T08:44:18Z","abstract_excerpt":"Recent advances in large-scale text-to-image (T2I) diffusion models have enabled a variety of downstream applications, including style customization, subject-driven personalization, and conditional generation. As T2I models require extensive data and computational resources for training, they constitute highly valued intellectual property (IP) for their legitimate owners, yet making them incentive targets for unauthorized fine-tuning by adversaries seeking to leverage these models for customized, usually profitable applications. Existing IP protection methods for diffusion models generally inv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04852","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/2412.04852/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":"2026-07-05T10:41:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a6Ia+UPqppsN7V2XI/qihZGMI3/UhNX4nqz9p19nQ1993tpH8YidiC7tWtL+DiqYkKHqhrqz51ZRlYnClxo1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:28:12.443150Z"},"content_sha256":"3dd793d64ada5c96f47685e0d520cd7a94014a5288d397521059b3c68a87fe2d","schema_version":"1.0","event_id":"sha256:3dd793d64ada5c96f47685e0d520cd7a94014a5288d397521059b3c68a87fe2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CPKZSS35LDVUI56KWJYMCG2SRR/bundle.json","state_url":"https://pith.science/pith/CPKZSS35LDVUI56KWJYMCG2SRR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CPKZSS35LDVUI56KWJYMCG2SRR/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":"2026-08-05T20:28:12Z","links":{"resolver":"https://pith.science/pith/CPKZSS35LDVUI56KWJYMCG2SRR","bundle":"https://pith.science/pith/CPKZSS35LDVUI56KWJYMCG2SRR/bundle.json","state":"https://pith.science/pith/CPKZSS35LDVUI56KWJYMCG2SRR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CPKZSS35LDVUI56KWJYMCG2SRR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CPKZSS35LDVUI56KWJYMCG2SRR","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":"bd701f6ed886e2c70dfc68aff656e382febc8e9f95b113846794cb3b017db8c0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-06T08:44:18Z","title_canon_sha256":"da135b227a157e97337a239ed7d9c1d68b09c2b92fbfac451efb51b9236009c8"},"schema_version":"1.0","source":{"id":"2412.04852","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.04852","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.04852v2","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.04852","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"pith_short_12","alias_value":"CPKZSS35LDVU","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"pith_short_16","alias_value":"CPKZSS35LDVUI56K","created_at":"2026-07-05T10:41:18Z"},{"alias_kind":"pith_short_8","alias_value":"CPKZSS35","created_at":"2026-07-05T10:41:18Z"}],"graph_snapshots":[{"event_id":"sha256:3dd793d64ada5c96f47685e0d520cd7a94014a5288d397521059b3c68a87fe2d","target":"graph","created_at":"2026-07-05T10:41:18Z","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/2412.04852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in large-scale text-to-image (T2I) diffusion models have enabled a variety of downstream applications, including style customization, subject-driven personalization, and conditional generation. As T2I models require extensive data and computational resources for training, they constitute highly valued intellectual property (IP) for their legitimate owners, yet making them incentive targets for unauthorized fine-tuning by adversaries seeking to leverage these models for customized, usually profitable applications. Existing IP protection methods for diffusion models generally inv","authors_text":"Heng Huang, Jiacheng Zhu, Junfeng Guo, Muhao Chen, Yiming Li, Zhengzhong Tu, Zilan Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-06T08:44:18Z","title":"SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.04852","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":"sha256:938f181e6d9c3189207bf9020be82b34e286ce68683f1e192b7989f7e34571fb","target":"record","created_at":"2026-07-05T10:41:18Z","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":"bd701f6ed886e2c70dfc68aff656e382febc8e9f95b113846794cb3b017db8c0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-06T08:44:18Z","title_canon_sha256":"da135b227a157e97337a239ed7d9c1d68b09c2b92fbfac451efb51b9236009c8"},"schema_version":"1.0","source":{"id":"2412.04852","kind":"arxiv","version":2}},"canonical_sha256":"13d5994b7d58eb4477cab270c11b528c458a334562e42129b75f39dae30eb9b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13d5994b7d58eb4477cab270c11b528c458a334562e42129b75f39dae30eb9b9","first_computed_at":"2026-07-05T10:41:18.372641Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:41:18.372641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p+2CluZZNubC3PTnoLx1ZIs2js6RWFS96uDeCpk4WQqsKWsoR8jW7VlTTC4VquwcNozzVx39nQOroVCQ+fD+CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:41:18.373118Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.04852","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:938f181e6d9c3189207bf9020be82b34e286ce68683f1e192b7989f7e34571fb","sha256:3dd793d64ada5c96f47685e0d520cd7a94014a5288d397521059b3c68a87fe2d"],"state_sha256":"5048aae9fe5aef42e969b19894046db5e7fb4cabd09e4877c65f08d0e37bd2c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"84I1yCnPMIiYnzyZRPqit02L7AbNowJtVyTv+jDi2oqu6hY5Iae2G4O4HPADoQfNMZz0TYt2BHoMep0W48b0Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T20:28:12.448638Z","bundle_sha256":"518a5a13f50bf2460334d93721e3cf7ca0b7326db5e68ff5767238b6e6ff5dd5"}}