{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WCZG6J2JOLBAN6NAYRAY5PYJWY","short_pith_number":"pith:WCZG6J2J","canonical_record":{"source":{"id":"2309.14400","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-09-25T16:19:35Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"a3d0bb7470ba92f7c96e7acadc75311710d454d5cb21ab12339a6ce098c5ee5e","abstract_canon_sha256":"67c30429475a33f4a9013ad68ae2b559490aa9f74880c3424f3ce310a58aa433"},"schema_version":"1.0"},"canonical_sha256":"b0b26f274972c206f9a0c4418ebf09b6337a97acfacb01c64063253492eb5723","source":{"kind":"arxiv","id":"2309.14400","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.14400","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"arxiv_version","alias_value":"2309.14400v1","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.14400","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"pith_short_12","alias_value":"WCZG6J2JOLBA","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"pith_short_16","alias_value":"WCZG6J2JOLBAN6NA","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"pith_short_8","alias_value":"WCZG6J2J","created_at":"2026-07-05T06:54:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WCZG6J2JOLBAN6NAYRAY5PYJWY","target":"record","payload":{"canonical_record":{"source":{"id":"2309.14400","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-09-25T16:19:35Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"a3d0bb7470ba92f7c96e7acadc75311710d454d5cb21ab12339a6ce098c5ee5e","abstract_canon_sha256":"67c30429475a33f4a9013ad68ae2b559490aa9f74880c3424f3ce310a58aa433"},"schema_version":"1.0"},"canonical_sha256":"b0b26f274972c206f9a0c4418ebf09b6337a97acfacb01c64063253492eb5723","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:54:25.139633Z","signature_b64":"wjVrqvV0r1QX5ta1PnOz4Qr0AloXPSpZQoITyMC52T1mtKD9MCkuJZGJ/S8N8WVolmnuj70hsIzJOJqxC9TJCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0b26f274972c206f9a0c4418ebf09b6337a97acfacb01c64063253492eb5723","last_reissued_at":"2026-07-05T06:54:25.139205Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:54:25.139205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.14400","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:54:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qoqpeVGQr/jLXejqQYTzKb8SocVpxfpSolsyBA/v+ihuONs0cNdb6r15dfUnueH9pv5gQ/X1F9I24kunj8+GCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:15:33.473574Z"},"content_sha256":"73bbfcb0e7f7dc2283fd45236433ac4edb65f8064097aef6f89ec410be65cad1","schema_version":"1.0","event_id":"sha256:73bbfcb0e7f7dc2283fd45236433ac4edb65f8064097aef6f89ec410be65cad1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WCZG6J2JOLBAN6NAYRAY5PYJWY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DECORAIT -- DECentralized Opt-in/out Registry for AI Training","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CR","authors_text":"Alex Black, Andrew Gilbert, Andy Parsons, John Collomosse, Kar Balan, Simon Jenni","submitted_at":"2023-09-25T16:19:35Z","abstract_excerpt":"We present DECORAIT; a decentralized registry through which content creators may assert their right to opt in or out of AI training as well as receive reward for their contributions. Generative AI (GenAI) enables images to be synthesized using AI models trained on vast amounts of data scraped from public sources. Model and content creators who may wish to share their work openly without sanctioning its use for training are thus presented with a data governance challenge. Further, establishing the provenance of GenAI training data is important to creatives to ensure fair recognition and reward "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.14400","kind":"arxiv","version":1},"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/2309.14400/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":"2026-07-05T06:54:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eFOLiZSHQNwCfXAxTPxKfdsGtNG3XOltk/7Kqltw58toMZhxN/Dmzo4HJhE//5HtIgEF0T19vpFvZTk1aNMVBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T05:15:33.474087Z"},"content_sha256":"3f6707d8f16547516291bba52084697d9ff9c43102f82deb924c86628c2d9a36","schema_version":"1.0","event_id":"sha256:3f6707d8f16547516291bba52084697d9ff9c43102f82deb924c86628c2d9a36"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WCZG6J2JOLBAN6NAYRAY5PYJWY/bundle.json","state_url":"https://pith.science/pith/WCZG6J2JOLBAN6NAYRAY5PYJWY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WCZG6J2JOLBAN6NAYRAY5PYJWY/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":"2026-08-23T05:15:33Z","links":{"resolver":"https://pith.science/pith/WCZG6J2JOLBAN6NAYRAY5PYJWY","bundle":"https://pith.science/pith/WCZG6J2JOLBAN6NAYRAY5PYJWY/bundle.json","state":"https://pith.science/pith/WCZG6J2JOLBAN6NAYRAY5PYJWY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WCZG6J2JOLBAN6NAYRAY5PYJWY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WCZG6J2JOLBAN6NAYRAY5PYJWY","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":"67c30429475a33f4a9013ad68ae2b559490aa9f74880c3424f3ce310a58aa433","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-09-25T16:19:35Z","title_canon_sha256":"a3d0bb7470ba92f7c96e7acadc75311710d454d5cb21ab12339a6ce098c5ee5e"},"schema_version":"1.0","source":{"id":"2309.14400","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.14400","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"arxiv_version","alias_value":"2309.14400v1","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.14400","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"pith_short_12","alias_value":"WCZG6J2JOLBA","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"pith_short_16","alias_value":"WCZG6J2JOLBAN6NA","created_at":"2026-07-05T06:54:25Z"},{"alias_kind":"pith_short_8","alias_value":"WCZG6J2J","created_at":"2026-07-05T06:54:25Z"}],"graph_snapshots":[{"event_id":"sha256:3f6707d8f16547516291bba52084697d9ff9c43102f82deb924c86628c2d9a36","target":"graph","created_at":"2026-07-05T06:54:25Z","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/2309.14400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present DECORAIT; a decentralized registry through which content creators may assert their right to opt in or out of AI training as well as receive reward for their contributions. Generative AI (GenAI) enables images to be synthesized using AI models trained on vast amounts of data scraped from public sources. Model and content creators who may wish to share their work openly without sanctioning its use for training are thus presented with a data governance challenge. Further, establishing the provenance of GenAI training data is important to creatives to ensure fair recognition and reward ","authors_text":"Alex Black, Andrew Gilbert, Andy Parsons, John Collomosse, Kar Balan, Simon Jenni","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-09-25T16:19:35Z","title":"DECORAIT -- DECentralized Opt-in/out Registry for AI Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.14400","kind":"arxiv","version":1},"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":"sha256:73bbfcb0e7f7dc2283fd45236433ac4edb65f8064097aef6f89ec410be65cad1","target":"record","created_at":"2026-07-05T06:54:25Z","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":"67c30429475a33f4a9013ad68ae2b559490aa9f74880c3424f3ce310a58aa433","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2023-09-25T16:19:35Z","title_canon_sha256":"a3d0bb7470ba92f7c96e7acadc75311710d454d5cb21ab12339a6ce098c5ee5e"},"schema_version":"1.0","source":{"id":"2309.14400","kind":"arxiv","version":1}},"canonical_sha256":"b0b26f274972c206f9a0c4418ebf09b6337a97acfacb01c64063253492eb5723","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0b26f274972c206f9a0c4418ebf09b6337a97acfacb01c64063253492eb5723","first_computed_at":"2026-07-05T06:54:25.139205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:54:25.139205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wjVrqvV0r1QX5ta1PnOz4Qr0AloXPSpZQoITyMC52T1mtKD9MCkuJZGJ/S8N8WVolmnuj70hsIzJOJqxC9TJCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:54:25.139633Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.14400","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73bbfcb0e7f7dc2283fd45236433ac4edb65f8064097aef6f89ec410be65cad1","sha256:3f6707d8f16547516291bba52084697d9ff9c43102f82deb924c86628c2d9a36"],"state_sha256":"37689e5001ceebacc51a6d79a980483795c91be7a8f1439e53b648a9e417ad16"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fmjrZbWVCmyNXY3Fm/dQv5rWL/Z1PeUzqos72IUrbWbrxVDRtlZkdl5eSktD/hydH+b7TiSVnB2bWGSqVn9jAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T05:15:33.481625Z","bundle_sha256":"fffc98c60d7fc0f426eb55a138a45b3371f6bf86327a113d8bd21b39356930b3"}}