{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:EYZOEBPUMCGUZP2RT2CUL4JJOH","short_pith_number":"pith:EYZOEBPU","schema_version":"1.0","canonical_sha256":"2632e205f4608d4cbf519e8545f12971d5ec46812af1572ac6ff20c5cb94c46b","source":{"kind":"arxiv","id":"2304.05758","version":1},"attestation_state":"computed","paper":{"title":"Best Practices for 2-Body Pose Forecasting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alessandro Flaborea, Alessio Sampieri, Edoardo De Matteis, Fabio Galasso, Luca Scofano, Muhammad Rameez Ur Rahman","submitted_at":"2023-04-12T10:46:23Z","abstract_excerpt":"The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames. Predicting two people in interaction, instead of each separately, promises better performance, due to their body-body motion correlations. But the task has remained so far primarily unexplored.\n  In this paper, we review the progress in human pose forecasting and provide an in-depth assessment of the single-person practices that perform best for 2-body collaborative motion forecasting. Our study confirms the positive impact of frequency input r"},"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":"2304.05758","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-12T10:46:23Z","cross_cats_sorted":[],"title_canon_sha256":"8d99879ce5cafbfc8dbbffa987ebfbbdd2aab1f2d24c13ddd8fdfda91cc3baec","abstract_canon_sha256":"5c366e6edf0bcbb3f2c391ac5c0756072de7beaa86c7406fdca93a12372decad"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:00:23.241927Z","signature_b64":"7vm/N4ayxNtl2lXycavAvL2ragdgRo+BHItKYhY2zWw1H3nTuwCO5JEgClCtjAqzlHrXJKmRvjBfph4iGrNQCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2632e205f4608d4cbf519e8545f12971d5ec46812af1572ac6ff20c5cb94c46b","last_reissued_at":"2026-07-05T06:00:23.241489Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:00:23.241489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Best Practices for 2-Body Pose Forecasting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alessandro Flaborea, Alessio Sampieri, Edoardo De Matteis, Fabio Galasso, Luca Scofano, Muhammad Rameez Ur Rahman","submitted_at":"2023-04-12T10:46:23Z","abstract_excerpt":"The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames. Predicting two people in interaction, instead of each separately, promises better performance, due to their body-body motion correlations. But the task has remained so far primarily unexplored.\n  In this paper, we review the progress in human pose forecasting and provide an in-depth assessment of the single-person practices that perform best for 2-body collaborative motion forecasting. Our study confirms the positive impact of frequency input r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.05758","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/2304.05758/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":"2304.05758","created_at":"2026-07-05T06:00:23.241549+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.05758v1","created_at":"2026-07-05T06:00:23.241549+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.05758","created_at":"2026-07-05T06:00:23.241549+00:00"},{"alias_kind":"pith_short_12","alias_value":"EYZOEBPUMCGU","created_at":"2026-07-05T06:00:23.241549+00:00"},{"alias_kind":"pith_short_16","alias_value":"EYZOEBPUMCGUZP2R","created_at":"2026-07-05T06:00:23.241549+00:00"},{"alias_kind":"pith_short_8","alias_value":"EYZOEBPU","created_at":"2026-07-05T06:00:23.241549+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/EYZOEBPUMCGUZP2RT2CUL4JJOH","json":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH.json","graph_json":"https://pith.science/api/pith-number/EYZOEBPUMCGUZP2RT2CUL4JJOH/graph.json","events_json":"https://pith.science/api/pith-number/EYZOEBPUMCGUZP2RT2CUL4JJOH/events.json","paper":"https://pith.science/paper/EYZOEBPU"},"agent_actions":{"view_html":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH","download_json":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH.json","view_paper":"https://pith.science/paper/EYZOEBPU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.05758&json=true","fetch_graph":"https://pith.science/api/pith-number/EYZOEBPUMCGUZP2RT2CUL4JJOH/graph.json","fetch_events":"https://pith.science/api/pith-number/EYZOEBPUMCGUZP2RT2CUL4JJOH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH/action/storage_attestation","attest_author":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH/action/author_attestation","sign_citation":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH/action/citation_signature","submit_replication":"https://pith.science/pith/EYZOEBPUMCGUZP2RT2CUL4JJOH/action/replication_record"}},"created_at":"2026-07-05T06:00:23.241549+00:00","updated_at":"2026-07-05T06:00:23.241549+00:00"}