{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:F2XYN2KAUHP6BH56WYRREEXK4Z","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":"8ca4ec6a83a11abb8e145eee1c11a820b51bad425dc30be3741aa39482658673","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-10T02:08:01Z","title_canon_sha256":"dde524e768c233b91f96dfe7176c6ba9160cd59e3f19650c5de36e875298f004"},"schema_version":"1.0","source":{"id":"2303.05652","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.05652","created_at":"2026-07-05T05:49:46Z"},{"alias_kind":"arxiv_version","alias_value":"2303.05652v1","created_at":"2026-07-05T05:49:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.05652","created_at":"2026-07-05T05:49:46Z"},{"alias_kind":"pith_short_12","alias_value":"F2XYN2KAUHP6","created_at":"2026-07-05T05:49:46Z"},{"alias_kind":"pith_short_16","alias_value":"F2XYN2KAUHP6BH56","created_at":"2026-07-05T05:49:46Z"},{"alias_kind":"pith_short_8","alias_value":"F2XYN2KA","created_at":"2026-07-05T05:49:46Z"}],"graph_snapshots":[{"event_id":"sha256:b751405e092308051627a917ed88c48df19ce694178f728223140c02e4328bac","target":"graph","created_at":"2026-07-05T05:49:46Z","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/2303.05652/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D human mesh recovery from a 2D pose plays an important role in various applications. However, it is hard for existing methods to simultaneously capture the multiple relations during the evolution from skeleton to mesh, including joint-joint, joint-vertex and vertex-vertex relations, which often leads to implausible results. To address this issue, we propose a novel solution, called GATOR, that contains an encoder of Graph-Aware Transformer (GAT) and a decoder with Motion-Disentangled Regression (MDR) to explore these multiple relations. Specifically, GAT combines a GCN and a graph-aware self","authors_text":"Hong Liu, Runwei Ding, Ti Wang, Wenhao Li, Xia Li, Yingxuan You","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-10T02:08:01Z","title":"GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D Pose"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.05652","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:c37557c816b668b73cf930649006316c31c0b461bae116a5e7ec6cd1ca7e6ac6","target":"record","created_at":"2026-07-05T05:49:46Z","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":"8ca4ec6a83a11abb8e145eee1c11a820b51bad425dc30be3741aa39482658673","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-10T02:08:01Z","title_canon_sha256":"dde524e768c233b91f96dfe7176c6ba9160cd59e3f19650c5de36e875298f004"},"schema_version":"1.0","source":{"id":"2303.05652","kind":"arxiv","version":1}},"canonical_sha256":"2eaf86e940a1dfe09fbeb6231212eae650fac455ead87c862df140fc5a661a70","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2eaf86e940a1dfe09fbeb6231212eae650fac455ead87c862df140fc5a661a70","first_computed_at":"2026-07-05T05:49:46.142284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:49:46.142284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jtzRFQ5vkYPY9DDpfCP10dMoEFH1p8oJlOaxFEE1LVGTexjnidYYksoTE1/ZOodg7Tt2jZCP2A8dzBnpnHnQCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:49:46.142640Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.05652","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c37557c816b668b73cf930649006316c31c0b461bae116a5e7ec6cd1ca7e6ac6","sha256:b751405e092308051627a917ed88c48df19ce694178f728223140c02e4328bac"],"state_sha256":"2fc5b73c000c70eaab60efc062c99910058050fef79403f397c5cd7588566d73"}