{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RGRMQKRPOIV2K7AF2GMI5PMEGN","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":"cc6a11bbb23b460ab50d12ce80b2e0f09746ef0a26c49f3e262e619940accd50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-20T13:32:01Z","title_canon_sha256":"710edb08dc77f3bd4591a94106688e6b80495c9eb836dbb52c61b8818ae18943"},"schema_version":"1.0","source":{"id":"2306.11529","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.11529","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"arxiv_version","alias_value":"2306.11529v1","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.11529","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"pith_short_12","alias_value":"RGRMQKRPOIV2","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"pith_short_16","alias_value":"RGRMQKRPOIV2K7AF","created_at":"2026-07-05T06:22:20Z"},{"alias_kind":"pith_short_8","alias_value":"RGRMQKRP","created_at":"2026-07-05T06:22:20Z"}],"graph_snapshots":[{"event_id":"sha256:eecb62407d06e40715a4f554d9062118d8b7350706d4826613721ced4e62b943","target":"graph","created_at":"2026-07-05T06:22:20Z","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/2306.11529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we tackle the challenging problem of 3D keypoint estimation of general objects using a novel implicit representation. Previous works have demonstrated promising results for keypoint prediction through direct coordinate regression or heatmap-based inference. However, these methods are commonly studied for specific subjects, such as human bodies and faces, which possess fixed keypoint structures. They also suffer in several practical scenarios where explicit or complete geometry is not given, including images and partial point clouds. Inspired by the recent success of advanced imp","authors_text":"Chongyang Ma, Dong Du, Haibin Huang, Xiangyu Zhu, Xiaoguang Han","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-20T13:32:01Z","title":"3D Keypoint Estimation Using Implicit Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.11529","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":"sha256:791bd29eae972ed27d53684cd376e3b8494301f95257b0ba9c27f648f665d56b","target":"record","created_at":"2026-07-05T06:22:20Z","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":"cc6a11bbb23b460ab50d12ce80b2e0f09746ef0a26c49f3e262e619940accd50","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-20T13:32:01Z","title_canon_sha256":"710edb08dc77f3bd4591a94106688e6b80495c9eb836dbb52c61b8818ae18943"},"schema_version":"1.0","source":{"id":"2306.11529","kind":"arxiv","version":1}},"canonical_sha256":"89a2c82a2f722ba57c05d1988ebd84335a90e0a46c9fd056e923c8992b6d6c0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89a2c82a2f722ba57c05d1988ebd84335a90e0a46c9fd056e923c8992b6d6c0b","first_computed_at":"2026-07-05T06:22:20.760205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:22:20.760205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tPucVgKpnFQkkyRlUy/pIICIvX1O0v1jVWcHOsCqso+qQ0u4MkawufYIZ64pRAarcywl4soc9FbOHPy2EGucCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:22:20.760642Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.11529","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:791bd29eae972ed27d53684cd376e3b8494301f95257b0ba9c27f648f665d56b","sha256:eecb62407d06e40715a4f554d9062118d8b7350706d4826613721ced4e62b943"],"state_sha256":"6d288213614605c86d0a0a8f6e79c3c69bbed6bcb7c1cd3b9ab0a776392a2285"}