{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DVUDIUACPTVZMSNIK35H76BKEY","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":"15ee399a5b0bccf3f3519361165c43cddd0e4f6999bef62d0834123eaccf1caf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T04:43:12Z","title_canon_sha256":"c7edaa5b8f8dd30183c297fe4506556f7408727a729c35d4df1fad8f71dcc190"},"schema_version":"1.0","source":{"id":"2501.15073","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.15073","created_at":"2026-07-05T10:05:23Z"},{"alias_kind":"arxiv_version","alias_value":"2501.15073v1","created_at":"2026-07-05T10:05:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15073","created_at":"2026-07-05T10:05:23Z"},{"alias_kind":"pith_short_12","alias_value":"DVUDIUACPTVZ","created_at":"2026-07-05T10:05:23Z"},{"alias_kind":"pith_short_16","alias_value":"DVUDIUACPTVZMSNI","created_at":"2026-07-05T10:05:23Z"},{"alias_kind":"pith_short_8","alias_value":"DVUDIUAC","created_at":"2026-07-05T10:05:23Z"}],"graph_snapshots":[{"event_id":"sha256:3bc559ed7a6ccc67addb4f696c6b8dec4bcd8a60ddc2f607c0f87cad186fb5f2","target":"graph","created_at":"2026-07-05T10:05:23Z","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/2501.15073/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human pose estimation in videos remains a challenge, largely due to the reliance on extensive manual annotation of large datasets, which is expensive and labor-intensive. Furthermore, existing approaches often struggle to capture long-range temporal dependencies and overlook the complementary relationship between temporal pose heatmaps and visual features. To address these limitations, we introduce STDPose, a novel framework that enhances human pose estimation by learning spatiotemporal dynamics in sparsely-labeled videos. STDPose incorporates two key innovations: 1) A novel Dynamic-Aware Mask","authors_text":"Shaojing Fan, Sifan Wu, Yingying Jiao, Zhenguang Liu, Zheqi Wu, Zhigang Wang, Zhuoyue Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T04:43:12Z","title":"SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15073","kind":"arxiv","version":1},"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":"sha256:70fe0c2725dff333d1aeb9499d4cdad7df991c0c52dbaa909618bd0acdec67bf","target":"record","created_at":"2026-07-05T10:05:23Z","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":"15ee399a5b0bccf3f3519361165c43cddd0e4f6999bef62d0834123eaccf1caf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-25T04:43:12Z","title_canon_sha256":"c7edaa5b8f8dd30183c297fe4506556f7408727a729c35d4df1fad8f71dcc190"},"schema_version":"1.0","source":{"id":"2501.15073","kind":"arxiv","version":1}},"canonical_sha256":"1d683450027ceb9649a856fa7ff82a2610827fe640f8763eaccb378b24171934","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d683450027ceb9649a856fa7ff82a2610827fe640f8763eaccb378b24171934","first_computed_at":"2026-07-05T10:05:23.980127Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:05:23.980127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"05Hs2sdrrhahcsagLdQyMr4JbRMTUp7RcjRAtU1nArlKlc99iFGWkLVO/XSrSbyAJhD/ncOvHhxZu/AJ1OQfCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:05:23.980550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.15073","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70fe0c2725dff333d1aeb9499d4cdad7df991c0c52dbaa909618bd0acdec67bf","sha256:3bc559ed7a6ccc67addb4f696c6b8dec4bcd8a60ddc2f607c0f87cad186fb5f2"],"state_sha256":"0adc12d77c0eaebf042ea2853672165237cd852d42102cf7684843c13560cea6"}