{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:GHBDKGXULXWI3XVLSMTIUAQC3F","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":"c03e899ba67ef8dfd249010824fabae268c70414d4e3c2983d5f19d561e68551","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-23T08:16:25Z","title_canon_sha256":"dfd8941909b453cab905fbfd31811bfea452a3a9d228b4a224c6216c5258d836"},"schema_version":"1.0","source":{"id":"2105.10882","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.10882","created_at":"2026-07-05T04:23:35Z"},{"alias_kind":"arxiv_version","alias_value":"2105.10882v2","created_at":"2026-07-05T04:23:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.10882","created_at":"2026-07-05T04:23:35Z"},{"alias_kind":"pith_short_12","alias_value":"GHBDKGXULXWI","created_at":"2026-07-05T04:23:35Z"},{"alias_kind":"pith_short_16","alias_value":"GHBDKGXULXWI3XVL","created_at":"2026-07-05T04:23:35Z"},{"alias_kind":"pith_short_8","alias_value":"GHBDKGXU","created_at":"2026-07-05T04:23:35Z"}],"graph_snapshots":[{"event_id":"sha256:a88a62c7c53abe54e66d98d4072ce7816aa25669825f06ab780bc22a50c5a3f7","target":"graph","created_at":"2026-07-05T04:23:35Z","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/2105.10882/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although monocular 3D human pose estimation methods have made significant progress, it is far from being solved due to the inherent depth ambiguity. Instead, exploiting multi-view information is a practical way to achieve absolute 3D human pose estimation. In this paper, we propose a simple yet effective pipeline for weakly-supervised cross-view 3D human pose estimation. By only using two camera views, our method can achieve state-of-the-art performance in a weakly-supervised manner, requiring no 3D ground truth but only 2D annotations. Specifically, our method contains two steps: triangulatio","authors_text":"Guoliang Hua, Hong Liu, Qian Zhang, Runwei Ding, Wenhao Li, Xin Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-23T08:16:25Z","title":"Weakly-supervised 3D Human Pose Estimation with Cross-view U-shaped Graph Convolutional Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.10882","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":"sha256:75211ab36e8bbe0223205ccc8d55421124522f308b1378faca75e78afa6ba791","target":"record","created_at":"2026-07-05T04:23:35Z","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":"c03e899ba67ef8dfd249010824fabae268c70414d4e3c2983d5f19d561e68551","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-23T08:16:25Z","title_canon_sha256":"dfd8941909b453cab905fbfd31811bfea452a3a9d228b4a224c6216c5258d836"},"schema_version":"1.0","source":{"id":"2105.10882","kind":"arxiv","version":2}},"canonical_sha256":"31c2351af45dec8ddeab93268a0202d9704d8e88b344b69b0af09c1fde1b8ecc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31c2351af45dec8ddeab93268a0202d9704d8e88b344b69b0af09c1fde1b8ecc","first_computed_at":"2026-07-05T04:23:35.293864Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:23:35.293864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P/CWj+oiOVHuKvwHbXhNuopFFV6StdGoMiWUqtPCbENp5oPtmHd/afg34XbDhPuDaCj12nHEcBklh/LIQjfdAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:23:35.294496Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.10882","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75211ab36e8bbe0223205ccc8d55421124522f308b1378faca75e78afa6ba791","sha256:a88a62c7c53abe54e66d98d4072ce7816aa25669825f06ab780bc22a50c5a3f7"],"state_sha256":"cc14129722a254784cc25cfff454e65fe1068afe73ed07d3b736026c79fdd17c"}