{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UA3CCSBPCOI5OTD267PKLKUIUI","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":"1be539881bc2ed9a5bc9a5fa6b5c90a8a16c02dd9a3329701c8673135452120d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T14:40:02Z","title_canon_sha256":"42a0d1c56a79fc0e73bc3598be0bd93ac7292c34a359fbbaeb6fd695e30b672f"},"schema_version":"1.0","source":{"id":"2501.09565","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09565","created_at":"2026-07-05T10:01:49Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09565v1","created_at":"2026-07-05T10:01:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09565","created_at":"2026-07-05T10:01:49Z"},{"alias_kind":"pith_short_12","alias_value":"UA3CCSBPCOI5","created_at":"2026-07-05T10:01:49Z"},{"alias_kind":"pith_short_16","alias_value":"UA3CCSBPCOI5OTD2","created_at":"2026-07-05T10:01:49Z"},{"alias_kind":"pith_short_8","alias_value":"UA3CCSBP","created_at":"2026-07-05T10:01:49Z"}],"graph_snapshots":[{"event_id":"sha256:cb191da953c8560ab2be76e4bb15d6df273f2d016bde490fe51f3765feb85c3f","target":"graph","created_at":"2026-07-05T10:01:49Z","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/2501.09565/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conventional 2D human pose estimation methods typically require extensive labeled annotations, which are both labor-intensive and expensive. In contrast, semi-supervised 2D human pose estimation can alleviate the above problems by leveraging a large amount of unlabeled data along with a small portion of labeled data. Existing semi-supervised 2D human pose estimation methods update the network through backpropagation, ignoring crucial historical information from the previous training process. Therefore, we propose a novel semi-supervised 2D human pose estimation method by utilizing a newly desi","authors_text":"Fei Peng, Huadong Ma, Mengshi Qi, Wulian Yun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T14:40:02Z","title":"A New Teacher-Reviewer-Student Framework for Semi-supervised 2D Human Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09565","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:f97c4a3c27b72e51137cb64eb6d0020133b7a83d4b6d0ca752fe6982790728d8","target":"record","created_at":"2026-07-05T10:01:49Z","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":"1be539881bc2ed9a5bc9a5fa6b5c90a8a16c02dd9a3329701c8673135452120d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T14:40:02Z","title_canon_sha256":"42a0d1c56a79fc0e73bc3598be0bd93ac7292c34a359fbbaeb6fd695e30b672f"},"schema_version":"1.0","source":{"id":"2501.09565","kind":"arxiv","version":1}},"canonical_sha256":"a03621482f1391d74c7af7dea5aa88a22337346470e661d9ccce89ee12644229","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a03621482f1391d74c7af7dea5aa88a22337346470e661d9ccce89ee12644229","first_computed_at":"2026-07-05T10:01:49.053593Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:49.053593Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9aerccW7B0i9VBH9kHpfxMLes3fAA+JOUzTW5Q2akIv2MgkRK1GORNd4hPC57AA7NSQXI3BYzWBuhOeNNwByAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:49.054058Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09565","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f97c4a3c27b72e51137cb64eb6d0020133b7a83d4b6d0ca752fe6982790728d8","sha256:cb191da953c8560ab2be76e4bb15d6df273f2d016bde490fe51f3765feb85c3f"],"state_sha256":"4ff2dd1cd4f84f976bc1c969109f9ebc270dfc3bb465ea1d4cc48496ee1079f1"}