{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7SQ57ETVUB5NWOWA3BWZ64DWAZ","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":"f6cb87d2d688c3d822c44deeefb154b29b3d552a9456b288503ac029fc6d8b0f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-28T03:02:11Z","title_canon_sha256":"7d3e2eb31e74e399e0d640064210df63ddf84a5ff3627829fd2a4a001d148636"},"schema_version":"1.0","source":{"id":"2302.14268","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.14268","created_at":"2026-07-05T05:46:42Z"},{"alias_kind":"arxiv_version","alias_value":"2302.14268v1","created_at":"2026-07-05T05:46:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.14268","created_at":"2026-07-05T05:46:42Z"},{"alias_kind":"pith_short_12","alias_value":"7SQ57ETVUB5N","created_at":"2026-07-05T05:46:42Z"},{"alias_kind":"pith_short_16","alias_value":"7SQ57ETVUB5NWOWA","created_at":"2026-07-05T05:46:42Z"},{"alias_kind":"pith_short_8","alias_value":"7SQ57ETV","created_at":"2026-07-05T05:46:42Z"}],"graph_snapshots":[{"event_id":"sha256:a40ce1ac498ed0d20bcfabbce378914d959673c5672237afb8602f14a141aba2","target":"graph","created_at":"2026-07-05T05:46:42Z","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/2302.14268/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Category-level articulated object pose estimation aims to estimate a hierarchy of articulation-aware object poses of an unseen articulated object from a known category. To reduce the heavy annotations needed for supervised learning methods, we present a novel self-supervised strategy that solves this problem without any human labels. Our key idea is to factorize canonical shapes and articulated object poses from input articulated shapes through part-level equivariant shape analysis. Specifically, we first introduce the concept of part-level SE(3) equivariance and devise a network to learn feat","authors_text":"Haibin Huang, He Wang, Ji Zhang, Li Yi, Ruizhen Hu, Xueyi Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-28T03:02:11Z","title":"Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.14268","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:e554629982af55540c0875c3389f22908da109806a3f44481db3217eb5708405","target":"record","created_at":"2026-07-05T05:46:42Z","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":"f6cb87d2d688c3d822c44deeefb154b29b3d552a9456b288503ac029fc6d8b0f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-02-28T03:02:11Z","title_canon_sha256":"7d3e2eb31e74e399e0d640064210df63ddf84a5ff3627829fd2a4a001d148636"},"schema_version":"1.0","source":{"id":"2302.14268","kind":"arxiv","version":1}},"canonical_sha256":"fca1df9275a07adb3ac0d86d9f7076065e7c49316bd60233afe46a9a5c2a8335","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fca1df9275a07adb3ac0d86d9f7076065e7c49316bd60233afe46a9a5c2a8335","first_computed_at":"2026-07-05T05:46:42.778393Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:46:42.778393Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tIC7hGjbLGCn8jawfiBWGuEIniX7DyBvu2n0dSwJ/HrXoAeRUGokMHV63f+gBm05E9kQFicmeqfj9NTX3VagAg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:46:42.778744Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.14268","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e554629982af55540c0875c3389f22908da109806a3f44481db3217eb5708405","sha256:a40ce1ac498ed0d20bcfabbce378914d959673c5672237afb8602f14a141aba2"],"state_sha256":"e84d30f1db9d3cdcfb552b10406ee10dae18da05bbc8e2dd9b0e6d94d0c71a51"}