{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YBX5TCECITU3HR57GDNHWYAW2H","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":"ec4b2f3bb137390e023ec687c9c08208279260721acfeed6c71d00a16f3a8c71","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-29T13:48:38Z","title_canon_sha256":"37e79537c84e684c9fb24718f1a50d22f84445ffa89867baa18af6bbad293ce8"},"schema_version":"1.0","source":{"id":"2506.23236","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23236","created_at":"2026-07-05T11:29:18Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23236v1","created_at":"2026-07-05T11:29:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23236","created_at":"2026-07-05T11:29:18Z"},{"alias_kind":"pith_short_12","alias_value":"YBX5TCECITU3","created_at":"2026-07-05T11:29:18Z"},{"alias_kind":"pith_short_16","alias_value":"YBX5TCECITU3HR57","created_at":"2026-07-05T11:29:18Z"},{"alias_kind":"pith_short_8","alias_value":"YBX5TCEC","created_at":"2026-07-05T11:29:18Z"}],"graph_snapshots":[{"event_id":"sha256:3fbe92738582fd70c3abc8947d29143855cf60c881e953820f75ab255d7797f0","target":"graph","created_at":"2026-07-05T11:29:18Z","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/2506.23236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parametric human body models play a crucial role in computer graphics and vision, enabling applications ranging from human motion analysis to understanding human-environment interactions. Traditionally, these models use surface meshes, which pose challenges in efficiently handling interactions with other geometric entities, such as objects and scenes, typically represented as meshes or point clouds. To address this limitation, recent research has explored volumetric neural implicit body models. However, existing works are either insufficiently robust for complex human articulations or impose h","authors_text":"Gen Li, Kaifeng Zhao, Lea M\\\"uller, Marko Mihajlovic, Siwei Zhang, Siyu Tang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-29T13:48:38Z","title":"VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23236","kind":"arxiv","version":1},"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":"sha256:4736efaf21b4753290775b2cecbbf6179b6e88a04e0c30e96e7c6cd82778e608","target":"record","created_at":"2026-07-05T11:29:18Z","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":"ec4b2f3bb137390e023ec687c9c08208279260721acfeed6c71d00a16f3a8c71","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-29T13:48:38Z","title_canon_sha256":"37e79537c84e684c9fb24718f1a50d22f84445ffa89867baa18af6bbad293ce8"},"schema_version":"1.0","source":{"id":"2506.23236","kind":"arxiv","version":1}},"canonical_sha256":"c06fd9888244e9b3c7bf30da7b6016d1d8861559361f757f5c7ccc64a60dab70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c06fd9888244e9b3c7bf30da7b6016d1d8861559361f757f5c7ccc64a60dab70","first_computed_at":"2026-07-05T11:29:18.377375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:18.377375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8t1gEl2zMXB1T26Bxx7cCpfnG4tPlR/+YgldzdT5GtoupeHZh0duTE0kbsy6fGTErCuYlh1KVlQaXB/ahM43CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:18.378239Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23236","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4736efaf21b4753290775b2cecbbf6179b6e88a04e0c30e96e7c6cd82778e608","sha256:3fbe92738582fd70c3abc8947d29143855cf60c881e953820f75ab255d7797f0"],"state_sha256":"7f2e7705d3c61a9356b4c432839816d0c3cc5ac68c54d1d56f9332443c529734"}