{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RCELGPZRTSSRDBTM6RFLVOIGA5","short_pith_number":"pith:RCELGPZR","canonical_record":{"source":{"id":"2502.05215","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-04T18:49:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4c489df12bfc4901f3de5f3e0516451182d5c9335b84e3acfbf5be074e9f1cd2","abstract_canon_sha256":"5332568a0aab79e53513b5583dd063b53199fefcf48a70ac80826af88af47f84"},"schema_version":"1.0"},"canonical_sha256":"8888b33f319ca511866cf44abab906077cca9f6afaff768c15fe7c1c0b024e24","source":{"kind":"arxiv","id":"2502.05215","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05215","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05215v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05215","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"RCELGPZRTSSR","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"RCELGPZRTSSRDBTM","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"RCELGPZR","created_at":"2026-07-05T10:11:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RCELGPZRTSSRDBTM6RFLVOIGA5","target":"record","payload":{"canonical_record":{"source":{"id":"2502.05215","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-04T18:49:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4c489df12bfc4901f3de5f3e0516451182d5c9335b84e3acfbf5be074e9f1cd2","abstract_canon_sha256":"5332568a0aab79e53513b5583dd063b53199fefcf48a70ac80826af88af47f84"},"schema_version":"1.0"},"canonical_sha256":"8888b33f319ca511866cf44abab906077cca9f6afaff768c15fe7c1c0b024e24","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:34.206177Z","signature_b64":"/KaHoeC0KVxo0PtmCmod5lxrPDCxvLHqbXgwGVDXA6VvkllZUDMhdzR7m8xVvRyj9qmgr1UwagOmVUm4kLAdAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8888b33f319ca511866cf44abab906077cca9f6afaff768c15fe7c1c0b024e24","last_reissued_at":"2026-07-05T10:11:34.205704Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:34.205704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.05215","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":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sN9p2CtYn4UFUdQzpK51Kv7k3asxb/lik9wtKstuchIoFfRSukVptisJOZqrYxol63LMV2cKreiycip/Vy3BAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:33:40.665858Z"},"content_sha256":"a29c32e865ab3700bf8edcb05f0262da85f2ef6be8fd0b854de0591e1c200743","schema_version":"1.0","event_id":"sha256:a29c32e865ab3700bf8edcb05f0262da85f2ef6be8fd0b854de0591e1c200743"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RCELGPZRTSSRDBTM6RFLVOIGA5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Watermarking across Modalities for Content Tracing and Generative AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Pierre Fernandez","submitted_at":"2025-02-04T18:49:50Z","abstract_excerpt":"Watermarking embeds information into digital content like images, audio, or text, imperceptible to humans but robustly detectable by specific algorithms. This technology has important applications in many challenges of the industry such as content moderation, tracing AI-generated content, and monitoring the usage of AI models. The contributions of this thesis include the development of new watermarking techniques for images, audio, and text. We first introduce methods for active moderation of images on social platforms. We then develop specific techniques for AI-generated content. We specifica"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05215","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/2502.05215/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":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/8bBBqrkocTS0gcgcGyEBRQxWB3aCOm6TzYZtbWmd5didlOWFRAi3Bz3npEszKeBeDV+EOl0wjhIjWDgtp7RAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:33:40.666370Z"},"content_sha256":"3f292995d2032efe57a242a5aaf65365c29f00139967cde227097ee8b7b3ca60","schema_version":"1.0","event_id":"sha256:3f292995d2032efe57a242a5aaf65365c29f00139967cde227097ee8b7b3ca60"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RCELGPZRTSSRDBTM6RFLVOIGA5/bundle.json","state_url":"https://pith.science/pith/RCELGPZRTSSRDBTM6RFLVOIGA5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RCELGPZRTSSRDBTM6RFLVOIGA5/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":"2026-08-09T21:33:40Z","links":{"resolver":"https://pith.science/pith/RCELGPZRTSSRDBTM6RFLVOIGA5","bundle":"https://pith.science/pith/RCELGPZRTSSRDBTM6RFLVOIGA5/bundle.json","state":"https://pith.science/pith/RCELGPZRTSSRDBTM6RFLVOIGA5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RCELGPZRTSSRDBTM6RFLVOIGA5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RCELGPZRTSSRDBTM6RFLVOIGA5","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":"5332568a0aab79e53513b5583dd063b53199fefcf48a70ac80826af88af47f84","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-04T18:49:50Z","title_canon_sha256":"4c489df12bfc4901f3de5f3e0516451182d5c9335b84e3acfbf5be074e9f1cd2"},"schema_version":"1.0","source":{"id":"2502.05215","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05215","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05215v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05215","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"RCELGPZRTSSR","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"RCELGPZRTSSRDBTM","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"RCELGPZR","created_at":"2026-07-05T10:11:34Z"}],"graph_snapshots":[{"event_id":"sha256:3f292995d2032efe57a242a5aaf65365c29f00139967cde227097ee8b7b3ca60","target":"graph","created_at":"2026-07-05T10:11:34Z","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/2502.05215/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Watermarking embeds information into digital content like images, audio, or text, imperceptible to humans but robustly detectable by specific algorithms. This technology has important applications in many challenges of the industry such as content moderation, tracing AI-generated content, and monitoring the usage of AI models. The contributions of this thesis include the development of new watermarking techniques for images, audio, and text. We first introduce methods for active moderation of images on social platforms. We then develop specific techniques for AI-generated content. We specifica","authors_text":"Pierre Fernandez","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-04T18:49:50Z","title":"Watermarking across Modalities for Content Tracing and Generative AI"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05215","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:a29c32e865ab3700bf8edcb05f0262da85f2ef6be8fd0b854de0591e1c200743","target":"record","created_at":"2026-07-05T10:11:34Z","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":"5332568a0aab79e53513b5583dd063b53199fefcf48a70ac80826af88af47f84","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-02-04T18:49:50Z","title_canon_sha256":"4c489df12bfc4901f3de5f3e0516451182d5c9335b84e3acfbf5be074e9f1cd2"},"schema_version":"1.0","source":{"id":"2502.05215","kind":"arxiv","version":1}},"canonical_sha256":"8888b33f319ca511866cf44abab906077cca9f6afaff768c15fe7c1c0b024e24","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8888b33f319ca511866cf44abab906077cca9f6afaff768c15fe7c1c0b024e24","first_computed_at":"2026-07-05T10:11:34.205704Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:34.205704Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/KaHoeC0KVxo0PtmCmod5lxrPDCxvLHqbXgwGVDXA6VvkllZUDMhdzR7m8xVvRyj9qmgr1UwagOmVUm4kLAdAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:34.206177Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05215","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a29c32e865ab3700bf8edcb05f0262da85f2ef6be8fd0b854de0591e1c200743","sha256:3f292995d2032efe57a242a5aaf65365c29f00139967cde227097ee8b7b3ca60"],"state_sha256":"e92eee6fbff7aadbde8fe6ccee3ed8ea7198352c2a40ec6ab6c47b84a26d21a1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WMhhXoeDO08kCUcvGgo7y7OEu2Gi0e+wTnS4imS1uZflQ95h6fx3fP1+uAe5g1X9gUEP9N/ZR39yvwlcJ7d0DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:33:40.669923Z","bundle_sha256":"f395432a9db9e80a0267d47df86013ef200afe82c0f662ea738a48b5ad362372"}}