{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:RL7NAAQK73APERWU5RPNYP6OG2","short_pith_number":"pith:RL7NAAQK","schema_version":"1.0","canonical_sha256":"8afed0020afec0f246d4ec5edc3fce3682b9e134fc51243f7a826f072274a89c","source":{"kind":"arxiv","id":"2412.09122","version":3},"attestation_state":"computed","paper":{"title":"LVMark: Robust Watermark for Latent Video Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Yang, Gyeongrok Oh, Jaehyeok Lee, Jongheon Jeong, Minhyuk Jang, Sangpil Kim, Youngdong Jang","submitted_at":"2024-12-12T09:57:20Z","abstract_excerpt":"Rapid advancements in video diffusion models have enabled the creation of realistic videos, raising concerns about unauthorized use and driving the demand for techniques to protect model ownership. Existing watermarking methods, while effective for image diffusion models, do not account for temporal consistency, leading to degraded video quality and reduced robustness against video distortions. To address this issue, we introduce LVMark, a novel watermarking method for video diffusion models. We propose a new watermark decoder tailored for generated videos by learning the consistency between a"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.09122","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-12T09:57:20Z","cross_cats_sorted":[],"title_canon_sha256":"b66ac2512575189df8620139c1d6e69d1cf1bea53539778eb52a26c830bfe739","abstract_canon_sha256":"ecb1ccce489a724f86406ab8d7e7d495f9cf4b7a475182de016da33c98feeff1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:37.368014Z","signature_b64":"Urahn+e+4lmT0Ic5mx72gKbEBfXCM1fDTRz/1laBDjrk1c2BRxmuajulyVk2kw/tNT+UHr9t7UK7yGUma39QDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8afed0020afec0f246d4ec5edc3fce3682b9e134fc51243f7a826f072274a89c","last_reissued_at":"2026-07-05T10:40:37.367527Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:37.367527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LVMark: Robust Watermark for Latent Video Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Yang, Gyeongrok Oh, Jaehyeok Lee, Jongheon Jeong, Minhyuk Jang, Sangpil Kim, Youngdong Jang","submitted_at":"2024-12-12T09:57:20Z","abstract_excerpt":"Rapid advancements in video diffusion models have enabled the creation of realistic videos, raising concerns about unauthorized use and driving the demand for techniques to protect model ownership. Existing watermarking methods, while effective for image diffusion models, do not account for temporal consistency, leading to degraded video quality and reduced robustness against video distortions. To address this issue, we introduce LVMark, a novel watermarking method for video diffusion models. We propose a new watermark decoder tailored for generated videos by learning the consistency between a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.09122","kind":"arxiv","version":3},"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/2412.09122/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.09122","created_at":"2026-07-05T10:40:37.367589+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.09122v3","created_at":"2026-07-05T10:40:37.367589+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.09122","created_at":"2026-07-05T10:40:37.367589+00:00"},{"alias_kind":"pith_short_12","alias_value":"RL7NAAQK73AP","created_at":"2026-07-05T10:40:37.367589+00:00"},{"alias_kind":"pith_short_16","alias_value":"RL7NAAQK73APERWU","created_at":"2026-07-05T10:40:37.367589+00:00"},{"alias_kind":"pith_short_8","alias_value":"RL7NAAQK","created_at":"2026-07-05T10:40:37.367589+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2","json":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2.json","graph_json":"https://pith.science/api/pith-number/RL7NAAQK73APERWU5RPNYP6OG2/graph.json","events_json":"https://pith.science/api/pith-number/RL7NAAQK73APERWU5RPNYP6OG2/events.json","paper":"https://pith.science/paper/RL7NAAQK"},"agent_actions":{"view_html":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2","download_json":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2.json","view_paper":"https://pith.science/paper/RL7NAAQK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.09122&json=true","fetch_graph":"https://pith.science/api/pith-number/RL7NAAQK73APERWU5RPNYP6OG2/graph.json","fetch_events":"https://pith.science/api/pith-number/RL7NAAQK73APERWU5RPNYP6OG2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2/action/storage_attestation","attest_author":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2/action/author_attestation","sign_citation":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2/action/citation_signature","submit_replication":"https://pith.science/pith/RL7NAAQK73APERWU5RPNYP6OG2/action/replication_record"}},"created_at":"2026-07-05T10:40:37.367589+00:00","updated_at":"2026-07-05T10:40:37.367589+00:00"}