{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UPVIUHLBOO6PHLOLRXJAL3XF7C","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8b0c6c0abc2f1faf917deeb6d04f074f2ad5ea1dbc20f46faa5dc8fa8c4ec4d2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-25T18:40:48Z","title_canon_sha256":"05dd0db4df5a55509912d29d8b22685a02655612f2e803f36570d02471cf420e"},"schema_version":"1.0","source":{"id":"2511.20615","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.20615","created_at":"2026-06-02T02:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2511.20615v2","created_at":"2026-06-02T02:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.20615","created_at":"2026-06-02T02:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"UPVIUHLBOO6P","created_at":"2026-06-02T02:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"UPVIUHLBOO6PHLOL","created_at":"2026-06-02T02:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"UPVIUHLB","created_at":"2026-06-02T02:04:49Z"}],"graph_snapshots":[{"event_id":"sha256:47a62b45c0cd6c83b4ed6e2cb869eb895634998878fcd056763708af7ed3d039","target":"graph","created_at":"2026-06-02T02:04:49Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2511.20615/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study aimed to explore the application of deep neural networks for whole-body human posture prediction during dynamic load-reaching activities. Two time-series models were trained using bidirectional long short-term memory (BLSTM) and transformer architectures. The dataset consisted of 3D full-body plug-in gait dynamic coordinates from 20 normal-weight healthy male individuals each performing 204 load-reaching tasks from different load positions while adapting various lifting and handling techniques. The model inputs consisted of the 3D position of the hand-load position, lifting (stoop, ","authors_text":"Ali Mojibi, Alireza Taheri, Mahdi Mohseni, Navid Arjmand, Seyede Niloofar Hosseini","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-25T18:40:48Z","title":"Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.20615","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2146cef4a1d23dd8388103b10818e2d315a49292de38d1d2867994d6fcc772be","target":"record","created_at":"2026-06-02T02:04:49Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8b0c6c0abc2f1faf917deeb6d04f074f2ad5ea1dbc20f46faa5dc8fa8c4ec4d2","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-11-25T18:40:48Z","title_canon_sha256":"05dd0db4df5a55509912d29d8b22685a02655612f2e803f36570d02471cf420e"},"schema_version":"1.0","source":{"id":"2511.20615","kind":"arxiv","version":2}},"canonical_sha256":"a3ea8a1d6173bcf3adcb8dd205eee5f8a28ef06c896fee7a01caf8e11ff30634","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3ea8a1d6173bcf3adcb8dd205eee5f8a28ef06c896fee7a01caf8e11ff30634","first_computed_at":"2026-06-02T02:04:49.277863Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T02:04:49.277863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"je2D3t+fpGyPLW5nr/CbTwu1RctxcJoNofLAjiLOQTTvfasLXLZbz22GfPEV/3rLocwXUsfyg7mRGsD7BpK3CQ==","signature_status":"signed_v1","signed_at":"2026-06-02T02:04:49.278344Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.20615","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2146cef4a1d23dd8388103b10818e2d315a49292de38d1d2867994d6fcc772be","sha256:47a62b45c0cd6c83b4ed6e2cb869eb895634998878fcd056763708af7ed3d039"],"state_sha256":"5d5f0e646661bd00859aacfbfd5d1727119ab855a4fddb2eab270abdde8d51e9"}