{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:KHO3HR46MPYFCDMZHRLEFBTW4X","short_pith_number":"pith:KHO3HR46","schema_version":"1.0","canonical_sha256":"51ddb3c79e63f0510d993c56428676e5f1c2e84fd571561c8ba46c3f83617fac","source":{"kind":"arxiv","id":"2501.19088","version":1},"attestation_state":"computed","paper":{"title":"JGHand: Joint-Driven Animatable Hand Avater via 3D Gaussian Splatting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Xueyang Zhou, Xukun Shen, Yong Hu, Yuyou Zhong, Zhoutao Sun","submitted_at":"2025-01-31T12:33:24Z","abstract_excerpt":"Since hands are the primary interface in daily interactions, modeling high-quality digital human hands and rendering realistic images is a critical research problem. Furthermore, considering the requirements of interactive and rendering applications, it is essential to achieve real-time rendering and driveability of the digital model without compromising rendering quality. Thus, we propose Jointly 3D Gaussian Hand (JGHand), a novel joint-driven 3D Gaussian Splatting (3DGS)-based hand representation that renders high-fidelity hand images in real-time for various poses and characters. Distinct f"},"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":"2501.19088","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-31T12:33:24Z","cross_cats_sorted":[],"title_canon_sha256":"5092b3ba2456e9c600f03fd8bc5a3afa97aac6673c48f8be9d11100ca3bc30c4","abstract_canon_sha256":"267c35a743b88e6e183b352983f9b8034eda10a41db4fa4c69e8d2d8a3c438e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:07:55.998990Z","signature_b64":"yYc3r5BY9qnMkRMJcB7bDYSK/Yne7yk+7NxRWFpJuy3zWG8H1m1odzOfcFGzrznZQU+FF4PFRB+kcPxIsTLrDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51ddb3c79e63f0510d993c56428676e5f1c2e84fd571561c8ba46c3f83617fac","last_reissued_at":"2026-07-05T10:07:55.998512Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:07:55.998512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"JGHand: Joint-Driven Animatable Hand Avater via 3D Gaussian Splatting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Xueyang Zhou, Xukun Shen, Yong Hu, Yuyou Zhong, Zhoutao Sun","submitted_at":"2025-01-31T12:33:24Z","abstract_excerpt":"Since hands are the primary interface in daily interactions, modeling high-quality digital human hands and rendering realistic images is a critical research problem. Furthermore, considering the requirements of interactive and rendering applications, it is essential to achieve real-time rendering and driveability of the digital model without compromising rendering quality. Thus, we propose Jointly 3D Gaussian Hand (JGHand), a novel joint-driven 3D Gaussian Splatting (3DGS)-based hand representation that renders high-fidelity hand images in real-time for various poses and characters. Distinct f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.19088","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/2501.19088/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":"2501.19088","created_at":"2026-07-05T10:07:55.998583+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.19088v1","created_at":"2026-07-05T10:07:55.998583+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.19088","created_at":"2026-07-05T10:07:55.998583+00:00"},{"alias_kind":"pith_short_12","alias_value":"KHO3HR46MPYF","created_at":"2026-07-05T10:07:55.998583+00:00"},{"alias_kind":"pith_short_16","alias_value":"KHO3HR46MPYFCDMZ","created_at":"2026-07-05T10:07:55.998583+00:00"},{"alias_kind":"pith_short_8","alias_value":"KHO3HR46","created_at":"2026-07-05T10:07:55.998583+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.19156","citing_title":"Hand-4DGS: Feed-Forward 3D Gaussian Splatting for 4D Hand Reconstruction from Egocentric Videos","ref_index":41,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X","json":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X.json","graph_json":"https://pith.science/api/pith-number/KHO3HR46MPYFCDMZHRLEFBTW4X/graph.json","events_json":"https://pith.science/api/pith-number/KHO3HR46MPYFCDMZHRLEFBTW4X/events.json","paper":"https://pith.science/paper/KHO3HR46"},"agent_actions":{"view_html":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X","download_json":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X.json","view_paper":"https://pith.science/paper/KHO3HR46","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.19088&json=true","fetch_graph":"https://pith.science/api/pith-number/KHO3HR46MPYFCDMZHRLEFBTW4X/graph.json","fetch_events":"https://pith.science/api/pith-number/KHO3HR46MPYFCDMZHRLEFBTW4X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X/action/storage_attestation","attest_author":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X/action/author_attestation","sign_citation":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X/action/citation_signature","submit_replication":"https://pith.science/pith/KHO3HR46MPYFCDMZHRLEFBTW4X/action/replication_record"}},"created_at":"2026-07-05T10:07:55.998583+00:00","updated_at":"2026-07-05T10:07:55.998583+00:00"}