{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ROLTF4W3DM52HIATOUW26U2HNR","short_pith_number":"pith:ROLTF4W3","schema_version":"1.0","canonical_sha256":"8b9732f2db1b3ba3a013752daf53476c7d6c6721d0d449b336673142b5f5da3e","source":{"kind":"arxiv","id":"2412.05695","version":1},"attestation_state":"computed","paper":{"title":"WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Bin Chen, Shu-Tao Xia, Shuzhao Xie, Xiang Liu, Yuqi Tan, Zhi Wang","submitted_at":"2024-12-07T16:44:22Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) has emerged as a pivotal technique for 3D scene representation, providing rapid rendering speeds and high fidelity. As 3DGS gains prominence, safeguarding its intellectual property becomes increasingly crucial since 3DGS could be used to imitate unauthorized scene creations and raise copyright issues. Existing watermarking methods for implicit NeRFs cannot be directly applied to 3DGS due to its explicit representation and real-time rendering process, leaving watermarking for 3DGS largely unexplored. In response, we propose WATER-GS, a novel method designed to prote"},"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":"2412.05695","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2024-12-07T16:44:22Z","cross_cats_sorted":[],"title_canon_sha256":"32b425bf09412b2f5db5cdf36c85fe36e793d7954836a2e1bd082a0b59308626","abstract_canon_sha256":"2faa33d604de6e695109f7aa52f0baa460bbb90fd9b3c797a30e7433c3024310"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:07.537085Z","signature_b64":"JD0ENBXLVWz0Z9TZv2hOhIsEHvv6BRWJ0BSItcrfE7wxA/2x+ZalhiyMAyTTdXuVkD0Q4A6Hyj+mSgoysRHiBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b9732f2db1b3ba3a013752daf53476c7d6c6721d0d449b336673142b5f5da3e","last_reissued_at":"2026-07-05T09:46:07.536626Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:07.536626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"WATER-GS: Toward Copyright Protection for 3D Gaussian Splatting via Universal Watermarking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Bin Chen, Shu-Tao Xia, Shuzhao Xie, Xiang Liu, Yuqi Tan, Zhi Wang","submitted_at":"2024-12-07T16:44:22Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) has emerged as a pivotal technique for 3D scene representation, providing rapid rendering speeds and high fidelity. As 3DGS gains prominence, safeguarding its intellectual property becomes increasingly crucial since 3DGS could be used to imitate unauthorized scene creations and raise copyright issues. Existing watermarking methods for implicit NeRFs cannot be directly applied to 3DGS due to its explicit representation and real-time rendering process, leaving watermarking for 3DGS largely unexplored. In response, we propose WATER-GS, a novel method designed to prote"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05695","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/2412.05695/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":"2412.05695","created_at":"2026-07-05T09:46:07.536682+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.05695v1","created_at":"2026-07-05T09:46:07.536682+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05695","created_at":"2026-07-05T09:46:07.536682+00:00"},{"alias_kind":"pith_short_12","alias_value":"ROLTF4W3DM52","created_at":"2026-07-05T09:46:07.536682+00:00"},{"alias_kind":"pith_short_16","alias_value":"ROLTF4W3DM52HIAT","created_at":"2026-07-05T09:46:07.536682+00:00"},{"alias_kind":"pith_short_8","alias_value":"ROLTF4W3","created_at":"2026-07-05T09:46:07.536682+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.13153","citing_title":"PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction","ref_index":16,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR","json":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR.json","graph_json":"https://pith.science/api/pith-number/ROLTF4W3DM52HIATOUW26U2HNR/graph.json","events_json":"https://pith.science/api/pith-number/ROLTF4W3DM52HIATOUW26U2HNR/events.json","paper":"https://pith.science/paper/ROLTF4W3"},"agent_actions":{"view_html":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR","download_json":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR.json","view_paper":"https://pith.science/paper/ROLTF4W3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.05695&json=true","fetch_graph":"https://pith.science/api/pith-number/ROLTF4W3DM52HIATOUW26U2HNR/graph.json","fetch_events":"https://pith.science/api/pith-number/ROLTF4W3DM52HIATOUW26U2HNR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR/action/storage_attestation","attest_author":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR/action/author_attestation","sign_citation":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR/action/citation_signature","submit_replication":"https://pith.science/pith/ROLTF4W3DM52HIATOUW26U2HNR/action/replication_record"}},"created_at":"2026-07-05T09:46:07.536682+00:00","updated_at":"2026-07-05T09:46:07.536682+00:00"}