{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:U532Q7WRTAONCP2DFQLWI4RZKO","short_pith_number":"pith:U532Q7WR","schema_version":"1.0","canonical_sha256":"a777a87ed1981cd13f432c176472395380de2c1724fdf124cac0c9d984978d61","source":{"kind":"arxiv","id":"2401.10232","version":2},"attestation_state":"computed","paper":{"title":"ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanbyul Joo, Jeonghwan Kim, Jeonghyeon Na, Jisoo Kim","submitted_at":"2024-01-18T18:59:58Z","abstract_excerpt":"To enable machines to understand the way humans interact with the physical world in daily life, 3D interaction signals should be captured in natural settings, allowing people to engage with multiple objects in a range of sequential and casual manipulations. To achieve this goal, we introduce our ParaHome system designed to capture dynamic 3D movements of humans and objects within a common home environment. Our system features a multi-view setup with 70 synchronized RGB cameras, along with wearable motion capture devices including an IMU-based body suit and hand motion capture gloves. By levera"},"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":"2401.10232","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-18T18:59:58Z","cross_cats_sorted":[],"title_canon_sha256":"9eeab392c9470e7069af3aebf62989ff582c5bb64a6f9f4ce6db1cee5de2c21b","abstract_canon_sha256":"42cfd48d54a49d1ae09ebed38a1f05f06a537b078746eb0df81bf3808a573efb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:03:40.738184Z","signature_b64":"JQaSZbN6ZglTE2YnIGvTOLw0EEsKEvUpqSD5T2W6SDQ+H6HdZuwBvrlkrVFwZnZyNaifGG8NJ6qKjxp2VNfwAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a777a87ed1981cd13f432c176472395380de2c1724fdf124cac0c9d984978d61","last_reissued_at":"2026-07-05T10:03:40.737634Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:03:40.737634Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanbyul Joo, Jeonghwan Kim, Jeonghyeon Na, Jisoo Kim","submitted_at":"2024-01-18T18:59:58Z","abstract_excerpt":"To enable machines to understand the way humans interact with the physical world in daily life, 3D interaction signals should be captured in natural settings, allowing people to engage with multiple objects in a range of sequential and casual manipulations. To achieve this goal, we introduce our ParaHome system designed to capture dynamic 3D movements of humans and objects within a common home environment. Our system features a multi-view setup with 70 synchronized RGB cameras, along with wearable motion capture devices including an IMU-based body suit and hand motion capture gloves. By levera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10232","kind":"arxiv","version":2},"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/2401.10232/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":"2401.10232","created_at":"2026-07-05T10:03:40.737698+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.10232v2","created_at":"2026-07-05T10:03:40.737698+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10232","created_at":"2026-07-05T10:03:40.737698+00:00"},{"alias_kind":"pith_short_12","alias_value":"U532Q7WRTAON","created_at":"2026-07-05T10:03:40.737698+00:00"},{"alias_kind":"pith_short_16","alias_value":"U532Q7WRTAONCP2D","created_at":"2026-07-05T10:03:40.737698+00:00"},{"alias_kind":"pith_short_8","alias_value":"U532Q7WR","created_at":"2026-07-05T10:03:40.737698+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.18243","citing_title":"MOCHI: Motion Enhancement of Collaborative Human-object Interactions","ref_index":23,"is_internal_anchor":false},{"citing_arxiv_id":"2604.21351","citing_title":"Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot","ref_index":12,"is_internal_anchor":false},{"citing_arxiv_id":"2604.28197","citing_title":"OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction","ref_index":25,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO","json":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO.json","graph_json":"https://pith.science/api/pith-number/U532Q7WRTAONCP2DFQLWI4RZKO/graph.json","events_json":"https://pith.science/api/pith-number/U532Q7WRTAONCP2DFQLWI4RZKO/events.json","paper":"https://pith.science/paper/U532Q7WR"},"agent_actions":{"view_html":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO","download_json":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO.json","view_paper":"https://pith.science/paper/U532Q7WR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.10232&json=true","fetch_graph":"https://pith.science/api/pith-number/U532Q7WRTAONCP2DFQLWI4RZKO/graph.json","fetch_events":"https://pith.science/api/pith-number/U532Q7WRTAONCP2DFQLWI4RZKO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO/action/storage_attestation","attest_author":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO/action/author_attestation","sign_citation":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO/action/citation_signature","submit_replication":"https://pith.science/pith/U532Q7WRTAONCP2DFQLWI4RZKO/action/replication_record"}},"created_at":"2026-07-05T10:03:40.737698+00:00","updated_at":"2026-07-05T10:03:40.737698+00:00"}