{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OGU6KV7XK55QKATFMZFNOOB7XE","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":"f4b0b0424d8431ba139d5ff02e81a2812cf0e2de7f8ebbe2eb509415f5d3bafe","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T15:29:38Z","title_canon_sha256":"b4c572e0c22a94757c508494a288bc4f728bd1666455b298365b415dfa648e87"},"schema_version":"1.0","source":{"id":"2411.17788","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.17788","created_at":"2026-07-05T09:42:33Z"},{"alias_kind":"arxiv_version","alias_value":"2411.17788v2","created_at":"2026-07-05T09:42:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.17788","created_at":"2026-07-05T09:42:33Z"},{"alias_kind":"pith_short_12","alias_value":"OGU6KV7XK55Q","created_at":"2026-07-05T09:42:33Z"},{"alias_kind":"pith_short_16","alias_value":"OGU6KV7XK55QKATF","created_at":"2026-07-05T09:42:33Z"},{"alias_kind":"pith_short_8","alias_value":"OGU6KV7X","created_at":"2026-07-05T09:42:33Z"}],"graph_snapshots":[{"event_id":"sha256:9711460b79279285a550fb3af205f820fea498c3e675b732feb18a39ca0294dc","target":"graph","created_at":"2026-07-05T09:42:33Z","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/2411.17788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Shape assembly, which aims to reassemble separate parts into a complete object, has gained significant interest in recent years. Existing methods primarily rely on networks to predict the poses of individual parts, but often fail to effectively capture the geometric interactions between the parts and their poses. In this paper, we present the Geometric Point Attention Transformer (GPAT), a network specifically designed to address the challenges of reasoning about geometric relationships. In the geometric point attention module, we integrate both global shape information and local pairwise geom","authors_text":"Chaoran Cheng, Ge Liu, Jiahan Li, Jianzhu Ma","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T15:29:38Z","title":"Geometric Point Attention Transformer for 3D Shape Reassembly"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.17788","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:b9ce2e500a2a02949373f2d07c6c2b0ef52baf72e1ea3edf4c6df09259dcfa3d","target":"record","created_at":"2026-07-05T09:42:33Z","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":"f4b0b0424d8431ba139d5ff02e81a2812cf0e2de7f8ebbe2eb509415f5d3bafe","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-26T15:29:38Z","title_canon_sha256":"b4c572e0c22a94757c508494a288bc4f728bd1666455b298365b415dfa648e87"},"schema_version":"1.0","source":{"id":"2411.17788","kind":"arxiv","version":2}},"canonical_sha256":"71a9e557f7577b050265664ad7383fb93223464913e9123b94e1a739f92acf1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71a9e557f7577b050265664ad7383fb93223464913e9123b94e1a739f92acf1d","first_computed_at":"2026-07-05T09:42:33.848689Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:42:33.848689Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rPtIXmeoeAF7JCJ804leoRgAykVd+1741zNUi9U+h05qKInNFbcqaHYpecPXHiOQ8JyOC7J1S/tJBoCOE1uPAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:42:33.849212Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.17788","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9ce2e500a2a02949373f2d07c6c2b0ef52baf72e1ea3edf4c6df09259dcfa3d","sha256:9711460b79279285a550fb3af205f820fea498c3e675b732feb18a39ca0294dc"],"state_sha256":"718e267a5446e3df3bc4959598cd66d91bf5ca17dce7fff4fefb5399b0a0a776"}