{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FHIKRPXAVNNKU6JSAK4E4ZF7IO","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":"4234c2524ec35eedd1d48a4df347426b5466f278f4ab27c47580bccebb99f402","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-18T10:05:33Z","title_canon_sha256":"7abd25115ce511d13e4867796ffb418b9b728fb8c82176573ea46fb80771334a"},"schema_version":"1.0","source":{"id":"2406.12459","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12459","created_at":"2026-07-05T09:28:32Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12459v2","created_at":"2026-07-05T09:28:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12459","created_at":"2026-07-05T09:28:32Z"},{"alias_kind":"pith_short_12","alias_value":"FHIKRPXAVNNK","created_at":"2026-07-05T09:28:32Z"},{"alias_kind":"pith_short_16","alias_value":"FHIKRPXAVNNKU6JS","created_at":"2026-07-05T09:28:32Z"},{"alias_kind":"pith_short_8","alias_value":"FHIKRPXA","created_at":"2026-07-05T09:28:32Z"}],"graph_snapshots":[{"event_id":"sha256:934f5709636f96cca164c2afd36606cbbf76ce45a6fa7bcc7afd06d8c3c52188","target":"graph","created_at":"2026-07-05T09:28:32Z","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/2406.12459/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite recent advancements in high-fidelity human reconstruction techniques, the requirements for densely captured images or time-consuming per-instance optimization significantly hinder their applications in broader scenarios. To tackle these issues, we present HumanSplat which predicts the 3D Gaussian Splatting properties of any human from a single input image in a generalizable manner. In particular, HumanSplat comprises a 2D multi-view diffusion model and a latent reconstruction transformer with human structure priors that adeptly integrate geometric priors and semantic features within a ","authors_text":"Chenguo Lin, Panwang Pan, Tingting Shen, Yadong Mu, Yebin Liu, Yongjie Zhang, Zeming Li, Zhen Fan, Zhuo Su","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-18T10:05:33Z","title":"HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12459","kind":"arxiv","version":2},"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":"sha256:944abed56a817d8646cd50bee524f16c1741c935c7258a034c94ff1a79fb5a06","target":"record","created_at":"2026-07-05T09:28:32Z","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":"4234c2524ec35eedd1d48a4df347426b5466f278f4ab27c47580bccebb99f402","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-18T10:05:33Z","title_canon_sha256":"7abd25115ce511d13e4867796ffb418b9b728fb8c82176573ea46fb80771334a"},"schema_version":"1.0","source":{"id":"2406.12459","kind":"arxiv","version":2}},"canonical_sha256":"29d0a8bee0ab5aaa793202b84e64bf4383daeb78b8e3dffe16deb2b869f45cda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29d0a8bee0ab5aaa793202b84e64bf4383daeb78b8e3dffe16deb2b869f45cda","first_computed_at":"2026-07-05T09:28:32.429153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:28:32.429153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DG9VAkcUk1gCv2COxpcL39dllaa4XlLh8coxLNgo3VKc+YIer1xp1ki6ypxxLItwyo2BEf/UgNv9ybvTPMxXDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:28:32.429645Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12459","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:944abed56a817d8646cd50bee524f16c1741c935c7258a034c94ff1a79fb5a06","sha256:934f5709636f96cca164c2afd36606cbbf76ce45a6fa7bcc7afd06d8c3c52188"],"state_sha256":"f23e41d3cd26c1076b62efb651877ff70150245afbc28eccf6ba0bd1bdd2f7af"}