{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5KTZPVCDJQO2HQGUTZ3R3QUIPD","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":"1b89b77c36ec3ce31a1686fc5a6b5b272fbe18e91b13eceef4d6ebe6c9185bce","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-23T02:46:16Z","title_canon_sha256":"48c4ee00aa8d33f429471203e525d8000d6112a7971fb57feb6a753ec18c91fd"},"schema_version":"1.0","source":{"id":"2411.15420","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.15420","created_at":"2026-07-05T09:39:34Z"},{"alias_kind":"arxiv_version","alias_value":"2411.15420v1","created_at":"2026-07-05T09:39:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.15420","created_at":"2026-07-05T09:39:34Z"},{"alias_kind":"pith_short_12","alias_value":"5KTZPVCDJQO2","created_at":"2026-07-05T09:39:34Z"},{"alias_kind":"pith_short_16","alias_value":"5KTZPVCDJQO2HQGU","created_at":"2026-07-05T09:39:34Z"},{"alias_kind":"pith_short_8","alias_value":"5KTZPVCD","created_at":"2026-07-05T09:39:34Z"}],"graph_snapshots":[{"event_id":"sha256:a2aebe9d6e568743b336fb40c384aedb527a928192a658632d4a1bb479ff93cf","target":"graph","created_at":"2026-07-05T09:39:34Z","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/2411.15420/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the domain of single-view 3D reconstruction, traditional techniques have frequently relied on expensive and time-intensive 3D annotation data. Facing the challenge of annotation acquisition, semi-supervised learning strategies offer an innovative approach to reduce the dependence on labeled data. Despite these developments, the utilization of this learning paradigm in 3D reconstruction tasks remains relatively constrained. In this research, we created an innovative semi-supervised framework for 3D reconstruction that distinctively uniquely introduces a multi shape prior fusion strategy, int","authors_text":"Kunlong Liua, Wei Zhoua, Xinzhe Shia, Yongqin Zhanga, Yunfeng Shea","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-23T02:46:16Z","title":"Semi-supervised Single-view 3D Reconstruction via Multi Shape Prior Fusion Strategy and Self-Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.15420","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:da648c6e1543af9bfd43d70c47f91816a7e0ab79677af309fdf1f8300542a38c","target":"record","created_at":"2026-07-05T09:39:34Z","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":"1b89b77c36ec3ce31a1686fc5a6b5b272fbe18e91b13eceef4d6ebe6c9185bce","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-23T02:46:16Z","title_canon_sha256":"48c4ee00aa8d33f429471203e525d8000d6112a7971fb57feb6a753ec18c91fd"},"schema_version":"1.0","source":{"id":"2411.15420","kind":"arxiv","version":1}},"canonical_sha256":"eaa797d4434c1da3c0d49e771dc28878f0cad5f654338c31bb918660ec73c333","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eaa797d4434c1da3c0d49e771dc28878f0cad5f654338c31bb918660ec73c333","first_computed_at":"2026-07-05T09:39:34.374424Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:34.374424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0rZl83WCd+koUGtd0Q4+xLRDYL9TyHjhFaQkupTPvdXX7mSXrr6p2riXdpya/nhA7Mid2OfE2cyt828itGpCAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:34.375015Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.15420","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da648c6e1543af9bfd43d70c47f91816a7e0ab79677af309fdf1f8300542a38c","sha256:a2aebe9d6e568743b336fb40c384aedb527a928192a658632d4a1bb479ff93cf"],"state_sha256":"0216b440ca88a2091be0379c1bf5b4b38052744be54b5836f92137b9d728c7e4"}