{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:SSZKNJZB4CVJ4UYEOYB3V2HY2T","short_pith_number":"pith:SSZKNJZB","schema_version":"1.0","canonical_sha256":"94b2a6a721e0aa9e53047603bae8f8d4d1d8fcf13b489c70da1ae8beec13b067","source":{"kind":"arxiv","id":"2606.07280","version":1},"attestation_state":"computed","paper":{"title":"Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aming Wu, Jialie Shen, Yahong Han, Yang Li, Zihao Zhang","submitted_at":"2026-06-05T13:55:58Z","abstract_excerpt":"Novel class discovery in point cloud segmentation aims to transfer knowledge from known classes to automatically identify and segment unlabeled novel classes in point clouds. Existing methods mainly rely on pairwise associations for class assignment and novel class reasoning, which limits their ability to capture complex relationships among known and novel classes and may lead to inaccurate semantic segmentation. To address this issue, we introduce a hypergraph-based framework that models high-order associations among classes and enables collaborative reasoning from known classes to novel clas"},"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":"2606.07280","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T13:55:58Z","cross_cats_sorted":[],"title_canon_sha256":"65ba82287f814947a515a27c7ff97ee626761608dea72ff5e763dfa95946d8b6","abstract_canon_sha256":"3232fdf284b084452f8d118f8cfaadd5752f73fb8b83e94f967e3682cefbefef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:05:17.234662Z","signature_b64":"wzhV+9DWIsF7jkXNXtM8gTYsqkEEC+4O2b3QPvhbT/L05E6XkyjCVrKvwJuRGPUjHNv3eXqD8kpY4Te3m/67BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"94b2a6a721e0aa9e53047603bae8f8d4d1d8fcf13b489c70da1ae8beec13b067","last_reissued_at":"2026-06-08T01:05:17.233842Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:05:17.233842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aming Wu, Jialie Shen, Yahong Han, Yang Li, Zihao Zhang","submitted_at":"2026-06-05T13:55:58Z","abstract_excerpt":"Novel class discovery in point cloud segmentation aims to transfer knowledge from known classes to automatically identify and segment unlabeled novel classes in point clouds. Existing methods mainly rely on pairwise associations for class assignment and novel class reasoning, which limits their ability to capture complex relationships among known and novel classes and may lead to inaccurate semantic segmentation. To address this issue, we introduce a hypergraph-based framework that models high-order associations among classes and enables collaborative reasoning from known classes to novel clas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07280","kind":"arxiv","version":1},"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/2606.07280/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":"2606.07280","created_at":"2026-06-08T01:05:17.233980+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.07280v1","created_at":"2026-06-08T01:05:17.233980+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07280","created_at":"2026-06-08T01:05:17.233980+00:00"},{"alias_kind":"pith_short_12","alias_value":"SSZKNJZB4CVJ","created_at":"2026-06-08T01:05:17.233980+00:00"},{"alias_kind":"pith_short_16","alias_value":"SSZKNJZB4CVJ4UYE","created_at":"2026-06-08T01:05:17.233980+00:00"},{"alias_kind":"pith_short_8","alias_value":"SSZKNJZB","created_at":"2026-06-08T01:05:17.233980+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/SSZKNJZB4CVJ4UYEOYB3V2HY2T","json":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T.json","graph_json":"https://pith.science/api/pith-number/SSZKNJZB4CVJ4UYEOYB3V2HY2T/graph.json","events_json":"https://pith.science/api/pith-number/SSZKNJZB4CVJ4UYEOYB3V2HY2T/events.json","paper":"https://pith.science/paper/SSZKNJZB"},"agent_actions":{"view_html":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T","download_json":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T.json","view_paper":"https://pith.science/paper/SSZKNJZB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.07280&json=true","fetch_graph":"https://pith.science/api/pith-number/SSZKNJZB4CVJ4UYEOYB3V2HY2T/graph.json","fetch_events":"https://pith.science/api/pith-number/SSZKNJZB4CVJ4UYEOYB3V2HY2T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T/action/storage_attestation","attest_author":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T/action/author_attestation","sign_citation":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T/action/citation_signature","submit_replication":"https://pith.science/pith/SSZKNJZB4CVJ4UYEOYB3V2HY2T/action/replication_record"}},"created_at":"2026-06-08T01:05:17.233980+00:00","updated_at":"2026-06-08T01:05:17.233980+00:00"}