{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2NLFN6FX3UAQ4VAV3QN4BF5ZTX","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":"eb90650af909f6754a8505a7c7ba2565fb2b1ac3aefb8c4df64421692325fc4e","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-19T04:47:25Z","title_canon_sha256":"724c17f7c77bf7d7d92a8f9c93a89fac1789a25bae503557d9e51120dde87441"},"schema_version":"1.0","source":{"id":"2005.09212","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.09212","created_at":"2026-07-05T01:41:54Z"},{"alias_kind":"arxiv_version","alias_value":"2005.09212v2","created_at":"2026-07-05T01:41:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.09212","created_at":"2026-07-05T01:41:54Z"},{"alias_kind":"pith_short_12","alias_value":"2NLFN6FX3UAQ","created_at":"2026-07-05T01:41:54Z"},{"alias_kind":"pith_short_16","alias_value":"2NLFN6FX3UAQ4VAV","created_at":"2026-07-05T01:41:54Z"},{"alias_kind":"pith_short_8","alias_value":"2NLFN6FX","created_at":"2026-07-05T01:41:54Z"}],"graph_snapshots":[{"event_id":"sha256:3f57387ea5db441c9f5164612920ff494a0d93893b6d289f6f65532d5718c806","target":"graph","created_at":"2026-07-05T01:41:54Z","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/2005.09212/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knee osteoarthritis (OA) is one of the most common musculoskeletal disorders and requires early-stage diagnosis. Nowadays, the deep convolutional neural networks have achieved greatly in the computer-aided diagnosis field. However, the construction of the deep learning models usually requires great amounts of annotated data, which is generally high-cost. In this paper, we propose a novel approach for knee cartilage defects assessment, including severity classification and lesion localization. This can be treated as a subtask of knee OA diagnosis. Particularly, we design a self-ensembling frame","authors_text":"Dinggang Shen, Jiayu Huo, Kai Xuan, Lichi Zhang, Liping Si, Qian Wang, Weiwu Yao, Xi Ouyang, Zhong Xue","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-19T04:47:25Z","title":"A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.09212","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":"sha256:3ea2d4f94190ad4bc42268519e298d77551998d4b5aef7b1fb7eda0f95c8f4f1","target":"record","created_at":"2026-07-05T01:41:54Z","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":"eb90650af909f6754a8505a7c7ba2565fb2b1ac3aefb8c4df64421692325fc4e","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-19T04:47:25Z","title_canon_sha256":"724c17f7c77bf7d7d92a8f9c93a89fac1789a25bae503557d9e51120dde87441"},"schema_version":"1.0","source":{"id":"2005.09212","kind":"arxiv","version":2}},"canonical_sha256":"d35656f8b7dd010e5415dc1bc097b99ddf209a53817f9c66505cf4c107c892ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d35656f8b7dd010e5415dc1bc097b99ddf209a53817f9c66505cf4c107c892ab","first_computed_at":"2026-07-05T01:41:54.066563Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:41:54.066563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0V3OxqXoHwlmlYKFDTImmxvaX4bcluoWd9DCTat5RMjXvV0fVSe7Kh+mARcIN4dDOCycE1J45esXbFPzsRXtBg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:41:54.067023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.09212","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ea2d4f94190ad4bc42268519e298d77551998d4b5aef7b1fb7eda0f95c8f4f1","sha256:3f57387ea5db441c9f5164612920ff494a0d93893b6d289f6f65532d5718c806"],"state_sha256":"e132e656927c0b92c425961c0082e8702d166d96f6083bf2e3acfc0da7fe2474"}