{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:X3O7DLTBTFZ5CJE2UETAJSXNVQ","short_pith_number":"pith:X3O7DLTB","schema_version":"1.0","canonical_sha256":"beddf1ae619973d1249aa12604caedac2dd06fe39f703d39864c643d1bb32fed","source":{"kind":"arxiv","id":"1604.08390","version":1},"attestation_state":"computed","paper":{"title":"Judo Biomechanical Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.pop-ph","authors_text":"Attilio Sacripanti","submitted_at":"2016-04-28T12:43:32Z","abstract_excerpt":"In this paper, for the first time, there is comprehensively tackling the problem of biomechanical optimization of a sport of situation such as judo. Starting from the optimization of more simple sports, optimization of this kind of complex sports is grounded on a general physics tool such as the analysis of variation. The objective function is divided for static and dynamic situation of Athletes couple, and it is proposed also a sort of dynamic programming problem Strategic Optimization. A dynamic programming problem is an optimization problem in which decisions have to be taken sequentially o"},"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":"1604.08390","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.pop-ph","submitted_at":"2016-04-28T12:43:32Z","cross_cats_sorted":[],"title_canon_sha256":"a0748c3d8a3e78d91e5973577d38b6d3b834c8192ed0cdc6e1e49be65060f57a","abstract_canon_sha256":"388883e2007c64dbf039ed2b029bd3ca1dd0c4a00235525063c703bb7a939d7e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:16:04.136206Z","signature_b64":"13hENmyAF/vzGvehKmSiWINRO7yttmoJD7EqETPZBxIqGpA3o8nqT3YG6M5is7Jv5/sw2yMrp2G1sGdIesyLBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"beddf1ae619973d1249aa12604caedac2dd06fe39f703d39864c643d1bb32fed","last_reissued_at":"2026-05-18T01:16:04.135407Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:16:04.135407Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Judo Biomechanical Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.pop-ph","authors_text":"Attilio Sacripanti","submitted_at":"2016-04-28T12:43:32Z","abstract_excerpt":"In this paper, for the first time, there is comprehensively tackling the problem of biomechanical optimization of a sport of situation such as judo. Starting from the optimization of more simple sports, optimization of this kind of complex sports is grounded on a general physics tool such as the analysis of variation. The objective function is divided for static and dynamic situation of Athletes couple, and it is proposed also a sort of dynamic programming problem Strategic Optimization. A dynamic programming problem is an optimization problem in which decisions have to be taken sequentially o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.08390","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":""},"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":"1604.08390","created_at":"2026-05-18T01:16:04.135545+00:00"},{"alias_kind":"arxiv_version","alias_value":"1604.08390v1","created_at":"2026-05-18T01:16:04.135545+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.08390","created_at":"2026-05-18T01:16:04.135545+00:00"},{"alias_kind":"pith_short_12","alias_value":"X3O7DLTBTFZ5","created_at":"2026-05-18T12:30:51.357362+00:00"},{"alias_kind":"pith_short_16","alias_value":"X3O7DLTBTFZ5CJE2","created_at":"2026-05-18T12:30:51.357362+00:00"},{"alias_kind":"pith_short_8","alias_value":"X3O7DLTB","created_at":"2026-05-18T12:30:51.357362+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/X3O7DLTBTFZ5CJE2UETAJSXNVQ","json":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ.json","graph_json":"https://pith.science/api/pith-number/X3O7DLTBTFZ5CJE2UETAJSXNVQ/graph.json","events_json":"https://pith.science/api/pith-number/X3O7DLTBTFZ5CJE2UETAJSXNVQ/events.json","paper":"https://pith.science/paper/X3O7DLTB"},"agent_actions":{"view_html":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ","download_json":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ.json","view_paper":"https://pith.science/paper/X3O7DLTB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1604.08390&json=true","fetch_graph":"https://pith.science/api/pith-number/X3O7DLTBTFZ5CJE2UETAJSXNVQ/graph.json","fetch_events":"https://pith.science/api/pith-number/X3O7DLTBTFZ5CJE2UETAJSXNVQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ/action/storage_attestation","attest_author":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ/action/author_attestation","sign_citation":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ/action/citation_signature","submit_replication":"https://pith.science/pith/X3O7DLTBTFZ5CJE2UETAJSXNVQ/action/replication_record"}},"created_at":"2026-05-18T01:16:04.135545+00:00","updated_at":"2026-05-18T01:16:04.135545+00:00"}