{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:53U6A7S4ZFUQJIEHBYKJEOK663","short_pith_number":"pith:53U6A7S4","schema_version":"1.0","canonical_sha256":"eee9e07e5cc96904a0870e1492395ef6cbc3251d85e00326505f5c7e848b5c09","source":{"kind":"arxiv","id":"2606.23062","version":1},"attestation_state":"computed","paper":{"title":"VolHuMe: a High-Resolution Large Scale Dataset of Volumetric Human Meshes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.GR","authors_text":"Esa Rahtu, Giulia Martinelli, Niccol\\`o Bisagno, Nicola Conci, Nicola Garau","submitted_at":"2026-06-22T09:13:52Z","abstract_excerpt":"We introduce VolHuMe, a dataset of high-quality 4D human scans captured with a state-of-the-art volumetric studio using 64 RGB and 32 depth cameras. VolHuMe contains individual captures of 104 subjects and provides extensive ground truth, including SMPL-X, high-resolution meshes, multi-view RGB/depth images, rigged meshes, point clouds, garment segmentation, and detailed hand and facial geometry. Unlike prior datasets that primarily rely on full-body imagery, VolHuMe uses a close-range, high-resolution capture setup that preserves fine-grained body-part details, improving geometric fidelity an"},"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":"2606.23062","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2026-06-22T09:13:52Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2b9541c003aa5fa7a5e2d1b1cd3ffa57e618fe5da1246b382f1d9b1bf25163a9","abstract_canon_sha256":"767bcd227ec28d4baddc3863b359b8abaed93bcf757594f824cd6303b660e650"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T03:14:08.686796Z","signature_b64":"u73X36Z3h/5i25PNKMNjusBZD6uOavp/j7Fb/17VV7VwzS+BmpR2dRf0AI4HNt05U3Mx0jXnuFKjg9PXeB/gBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eee9e07e5cc96904a0870e1492395ef6cbc3251d85e00326505f5c7e848b5c09","last_reissued_at":"2026-06-23T03:14:08.686435Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T03:14:08.686435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"VolHuMe: a High-Resolution Large Scale Dataset of Volumetric Human Meshes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.GR","authors_text":"Esa Rahtu, Giulia Martinelli, Niccol\\`o Bisagno, Nicola Conci, Nicola Garau","submitted_at":"2026-06-22T09:13:52Z","abstract_excerpt":"We introduce VolHuMe, a dataset of high-quality 4D human scans captured with a state-of-the-art volumetric studio using 64 RGB and 32 depth cameras. VolHuMe contains individual captures of 104 subjects and provides extensive ground truth, including SMPL-X, high-resolution meshes, multi-view RGB/depth images, rigged meshes, point clouds, garment segmentation, and detailed hand and facial geometry. Unlike prior datasets that primarily rely on full-body imagery, VolHuMe uses a close-range, high-resolution capture setup that preserves fine-grained body-part details, improving geometric fidelity an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.23062","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/2606.23062/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":"2606.23062","created_at":"2026-06-23T03:14:08.686489+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.23062v1","created_at":"2026-06-23T03:14:08.686489+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.23062","created_at":"2026-06-23T03:14:08.686489+00:00"},{"alias_kind":"pith_short_12","alias_value":"53U6A7S4ZFUQ","created_at":"2026-06-23T03:14:08.686489+00:00"},{"alias_kind":"pith_short_16","alias_value":"53U6A7S4ZFUQJIEH","created_at":"2026-06-23T03:14:08.686489+00:00"},{"alias_kind":"pith_short_8","alias_value":"53U6A7S4","created_at":"2026-06-23T03:14:08.686489+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/53U6A7S4ZFUQJIEHBYKJEOK663","json":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663.json","graph_json":"https://pith.science/api/pith-number/53U6A7S4ZFUQJIEHBYKJEOK663/graph.json","events_json":"https://pith.science/api/pith-number/53U6A7S4ZFUQJIEHBYKJEOK663/events.json","paper":"https://pith.science/paper/53U6A7S4"},"agent_actions":{"view_html":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663","download_json":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663.json","view_paper":"https://pith.science/paper/53U6A7S4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.23062&json=true","fetch_graph":"https://pith.science/api/pith-number/53U6A7S4ZFUQJIEHBYKJEOK663/graph.json","fetch_events":"https://pith.science/api/pith-number/53U6A7S4ZFUQJIEHBYKJEOK663/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663/action/timestamp_anchor","attest_storage":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663/action/storage_attestation","attest_author":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663/action/author_attestation","sign_citation":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663/action/citation_signature","submit_replication":"https://pith.science/pith/53U6A7S4ZFUQJIEHBYKJEOK663/action/replication_record"}},"created_at":"2026-06-23T03:14:08.686489+00:00","updated_at":"2026-06-23T03:14:08.686489+00:00"}