{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:EIEY4LSBDTRBFNWOJSNWDGLAED","short_pith_number":"pith:EIEY4LSB","schema_version":"1.0","canonical_sha256":"22098e2e411ce212b6ce4c9b61996020cd9fd101ec458480494e341624261a60","source":{"kind":"arxiv","id":"2210.09923","version":3},"attestation_state":"computed","paper":{"title":"Zero-shot point cloud segmentation by transferring geometric primitives","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nenglun Chen, Ruigang Yang, Runnan Chen, Wei Li, Wenping Wang, Xinge Zhu, Yuexin Ma","submitted_at":"2022-10-18T15:06:54Z","abstract_excerpt":"We investigate transductive zero-shot point cloud semantic segmentation, where the network is trained on seen objects and able to segment unseen objects. The 3D geometric elements are essential cues to imply a novel 3D object type. However, previous methods neglect the fine-grained relationship between the language and the 3D geometric elements. To this end, we propose a novel framework to learn the geometric primitives shared in seen and unseen categories' objects and employ a fine-grained alignment between language and the learned geometric primitives. Therefore, guided by language, the netw"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2210.09923","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-18T15:06:54Z","cross_cats_sorted":[],"title_canon_sha256":"83bd6fb891aa9ec8144750168072daa9935a762377388e0f44d8c0c17e17a98a","abstract_canon_sha256":"06cce0e06c6b4cda1d97545d90743d5df2f5b5dce0f0707aed4d366a2d018aee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:55:21.688163Z","signature_b64":"s+ySPk/BpY2H/tmqfKgnjdsFLz1oFnlqwTdjJ0KSJNaGHzha8COrXspYSg55E6mOeAGE4BgbnP3MRo/RzqUwBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22098e2e411ce212b6ce4c9b61996020cd9fd101ec458480494e341624261a60","last_reissued_at":"2026-07-05T06:55:21.687734Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:55:21.687734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Zero-shot point cloud segmentation by transferring geometric primitives","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Nenglun Chen, Ruigang Yang, Runnan Chen, Wei Li, Wenping Wang, Xinge Zhu, Yuexin Ma","submitted_at":"2022-10-18T15:06:54Z","abstract_excerpt":"We investigate transductive zero-shot point cloud semantic segmentation, where the network is trained on seen objects and able to segment unseen objects. The 3D geometric elements are essential cues to imply a novel 3D object type. However, previous methods neglect the fine-grained relationship between the language and the 3D geometric elements. To this end, we propose a novel framework to learn the geometric primitives shared in seen and unseen categories' objects and employ a fine-grained alignment between language and the learned geometric primitives. Therefore, guided by language, the netw"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.09923","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2210.09923/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2210.09923","created_at":"2026-07-05T06:55:21.687800+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.09923v3","created_at":"2026-07-05T06:55:21.687800+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.09923","created_at":"2026-07-05T06:55:21.687800+00:00"},{"alias_kind":"pith_short_12","alias_value":"EIEY4LSBDTRB","created_at":"2026-07-05T06:55:21.687800+00:00"},{"alias_kind":"pith_short_16","alias_value":"EIEY4LSBDTRBFNWO","created_at":"2026-07-05T06:55:21.687800+00:00"},{"alias_kind":"pith_short_8","alias_value":"EIEY4LSB","created_at":"2026-07-05T06:55:21.687800+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED","json":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED.json","graph_json":"https://pith.science/api/pith-number/EIEY4LSBDTRBFNWOJSNWDGLAED/graph.json","events_json":"https://pith.science/api/pith-number/EIEY4LSBDTRBFNWOJSNWDGLAED/events.json","paper":"https://pith.science/paper/EIEY4LSB"},"agent_actions":{"view_html":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED","download_json":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED.json","view_paper":"https://pith.science/paper/EIEY4LSB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.09923&json=true","fetch_graph":"https://pith.science/api/pith-number/EIEY4LSBDTRBFNWOJSNWDGLAED/graph.json","fetch_events":"https://pith.science/api/pith-number/EIEY4LSBDTRBFNWOJSNWDGLAED/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED/action/storage_attestation","attest_author":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED/action/author_attestation","sign_citation":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED/action/citation_signature","submit_replication":"https://pith.science/pith/EIEY4LSBDTRBFNWOJSNWDGLAED/action/replication_record"}},"created_at":"2026-07-05T06:55:21.687800+00:00","updated_at":"2026-07-05T06:55:21.687800+00:00"}