{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:B3JIY3FR6MSKHIDWQ5MLEYMJ4G","short_pith_number":"pith:B3JIY3FR","schema_version":"1.0","canonical_sha256":"0ed28c6cb1f324a3a0768758b26189e18bd1f5c1e4c737d157140866fce3a5ff","source":{"kind":"arxiv","id":"2311.15864","version":4},"attestation_state":"computed","paper":{"title":"InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Dai, Dahua Lin, Jingbo Wang, Yixuan Li, Zhenzhi Wang","submitted_at":"2023-11-27T14:32:33Z","abstract_excerpt":"Text-conditioned motion synthesis has made remarkable progress with the emergence of diffusion models. However, the majority of these motion diffusion models are primarily designed for a single character and overlook multi-human interactions. In our approach, we strive to explore this problem by synthesizing human motion with interactions for a group of characters of any size in a zero-shot manner. The key aspect of our approach is the adaptation of human-wise interactions as pairs of human joints that can be either in contact or separated by a desired distance. In contrast to existing methods"},"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":"2311.15864","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-27T14:32:33Z","cross_cats_sorted":[],"title_canon_sha256":"8b0911725836cf53e3750bd76568d9adc4741f0f3a92df2ad43af5ebca9f06d6","abstract_canon_sha256":"85c455baa4191446748ca6fca60083fb0cb9c07628f4ab2409121cff3afb2cbc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:38:22.716803Z","signature_b64":"KKIhuh3pZNoVlQwaVGTBEa1lONxzskIvzFrPYSrjl1z+vJU4y+lxxoG00NoyDbc0BkRDVfxTjVmKsR0Z1xRRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ed28c6cb1f324a3a0768758b26189e18bd1f5c1e4c737d157140866fce3a5ff","last_reissued_at":"2026-07-05T09:38:22.716296Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:38:22.716296Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Dai, Dahua Lin, Jingbo Wang, Yixuan Li, Zhenzhi Wang","submitted_at":"2023-11-27T14:32:33Z","abstract_excerpt":"Text-conditioned motion synthesis has made remarkable progress with the emergence of diffusion models. However, the majority of these motion diffusion models are primarily designed for a single character and overlook multi-human interactions. In our approach, we strive to explore this problem by synthesizing human motion with interactions for a group of characters of any size in a zero-shot manner. The key aspect of our approach is the adaptation of human-wise interactions as pairs of human joints that can be either in contact or separated by a desired distance. In contrast to existing methods"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.15864","kind":"arxiv","version":4},"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/2311.15864/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":"2311.15864","created_at":"2026-07-05T09:38:22.716365+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.15864v4","created_at":"2026-07-05T09:38:22.716365+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.15864","created_at":"2026-07-05T09:38:22.716365+00:00"},{"alias_kind":"pith_short_12","alias_value":"B3JIY3FR6MSK","created_at":"2026-07-05T09:38:22.716365+00:00"},{"alias_kind":"pith_short_16","alias_value":"B3JIY3FR6MSKHIDW","created_at":"2026-07-05T09:38:22.716365+00:00"},{"alias_kind":"pith_short_8","alias_value":"B3JIY3FR","created_at":"2026-07-05T09:38:22.716365+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2505.11334","citing_title":"MARRS: Masked Autoregressive Unit-based Reaction Synthesis","ref_index":30,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G","json":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G.json","graph_json":"https://pith.science/api/pith-number/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/graph.json","events_json":"https://pith.science/api/pith-number/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/events.json","paper":"https://pith.science/paper/B3JIY3FR"},"agent_actions":{"view_html":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G","download_json":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G.json","view_paper":"https://pith.science/paper/B3JIY3FR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.15864&json=true","fetch_graph":"https://pith.science/api/pith-number/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/graph.json","fetch_events":"https://pith.science/api/pith-number/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/action/storage_attestation","attest_author":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/action/author_attestation","sign_citation":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/action/citation_signature","submit_replication":"https://pith.science/pith/B3JIY3FR6MSKHIDWQ5MLEYMJ4G/action/replication_record"}},"created_at":"2026-07-05T09:38:22.716365+00:00","updated_at":"2026-07-05T09:38:22.716365+00:00"}