{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:JK4DBX6EW6FFYS67YCWVK7YTRT","short_pith_number":"pith:JK4DBX6E","schema_version":"1.0","canonical_sha256":"4ab830dfc4b78a5c4bdfc0ad557f138cf2acb3ece7aba7eb36a984492e6517e8","source":{"kind":"arxiv","id":"2608.03379","version":1},"attestation_state":"computed","paper":{"title":"Residual Flow Matching with Dynamic Cross-Interaction for 3D Multi-Person Motion Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ruixuan Yu, Wei Wei, Yinyuan Zhao","submitted_at":"2026-08-04T09:28:27Z","abstract_excerpt":"3D multi-person motion prediction requires modeling both individual kinematics and inter-person interactions. While Flow Matching is effective for multi-hypothesis generation to improve prediction accuracy, directly predicting skeletal sequences from pure noise often compromises structural consistency and introduces unreliable cross-agent interactions during early noise-dominated integration steps. To address this, we propose a Prior-Guided Residual Flow Matching framework. First, a Deterministic Coarse Prior (DCP) establishes a kinematic anchor, formulating the generative process as a conditi"},"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":"2608.03379","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-08-04T09:28:27Z","cross_cats_sorted":[],"title_canon_sha256":"e5fb9fffb4b8f172a47ea3aee5e670745004730a1b73521eca17e56b46e61769","abstract_canon_sha256":"4dafe798b52786c9fcb8c3e2e5bb6d134077606e4c80753dcbcc9268947107b7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T01:35:38.493020Z","signature_b64":"fDT9K073Gr00rTovsXD17UyX4hL2FZ8raYRWTUZMYS7bDCdMLV73JQYJJvvVL4Xqr7cEjykLD/rkUxLeeAcEBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ab830dfc4b78a5c4bdfc0ad557f138cf2acb3ece7aba7eb36a984492e6517e8","last_reissued_at":"2026-08-05T01:35:38.491435Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T01:35:38.491435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Residual Flow Matching with Dynamic Cross-Interaction for 3D Multi-Person Motion Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ruixuan Yu, Wei Wei, Yinyuan Zhao","submitted_at":"2026-08-04T09:28:27Z","abstract_excerpt":"3D multi-person motion prediction requires modeling both individual kinematics and inter-person interactions. While Flow Matching is effective for multi-hypothesis generation to improve prediction accuracy, directly predicting skeletal sequences from pure noise often compromises structural consistency and introduces unreliable cross-agent interactions during early noise-dominated integration steps. To address this, we propose a Prior-Guided Residual Flow Matching framework. First, a Deterministic Coarse Prior (DCP) establishes a kinematic anchor, formulating the generative process as a conditi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.03379","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/2608.03379/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":"2608.03379","created_at":"2026-08-05T01:35:38.491973+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.03379v1","created_at":"2026-08-05T01:35:38.491973+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.03379","created_at":"2026-08-05T01:35:38.491973+00:00"},{"alias_kind":"pith_short_12","alias_value":"JK4DBX6EW6FF","created_at":"2026-08-05T01:35:38.491973+00:00"},{"alias_kind":"pith_short_16","alias_value":"JK4DBX6EW6FFYS67","created_at":"2026-08-05T01:35:38.491973+00:00"},{"alias_kind":"pith_short_8","alias_value":"JK4DBX6E","created_at":"2026-08-05T01:35:38.491973+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/JK4DBX6EW6FFYS67YCWVK7YTRT","json":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT.json","graph_json":"https://pith.science/api/pith-number/JK4DBX6EW6FFYS67YCWVK7YTRT/graph.json","events_json":"https://pith.science/api/pith-number/JK4DBX6EW6FFYS67YCWVK7YTRT/events.json","paper":"https://pith.science/paper/JK4DBX6E"},"agent_actions":{"view_html":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT","download_json":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT.json","view_paper":"https://pith.science/paper/JK4DBX6E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.03379&json=true","fetch_graph":"https://pith.science/api/pith-number/JK4DBX6EW6FFYS67YCWVK7YTRT/graph.json","fetch_events":"https://pith.science/api/pith-number/JK4DBX6EW6FFYS67YCWVK7YTRT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT/action/storage_attestation","attest_author":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT/action/author_attestation","sign_citation":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT/action/citation_signature","submit_replication":"https://pith.science/pith/JK4DBX6EW6FFYS67YCWVK7YTRT/action/replication_record"}},"created_at":"2026-08-05T01:35:38.491973+00:00","updated_at":"2026-08-05T01:35:38.491973+00:00"}