{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:CKIO5O2XT4MS7V3ZUBTHRQ3TH2","short_pith_number":"pith:CKIO5O2X","schema_version":"1.0","canonical_sha256":"1290eebb579f192fd779a06678c3733e98c543b20048c41b0b765a870a914d49","source":{"kind":"arxiv","id":"2502.19897","version":1},"attestation_state":"computed","paper":{"title":"Graph Probability Aggregation Clustering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Difei Mei, Na Lu, Ruofan Yan, Youtian Du, Yuxuan Yan","submitted_at":"2025-02-27T09:11:32Z","abstract_excerpt":"Traditional clustering methods typically focus on either cluster-wise global clustering or point-wise local clustering to reveal the intrinsic structures in unlabeled data. Global clustering optimizes an objective function to explore the relationships between clusters, but this approach may inevitably lead to coarse partition. In contrast, local clustering heuristically groups data based on detailed point relationships, but it tends to be less coherence and efficient. To bridge the gap between these two concepts and utilize the strengths of both, we propose Graph Probability Aggregation Cluste"},"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":"2502.19897","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-27T09:11:32Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a6d13c351b31fd1cdd29c8d8357bd0441bb7662502910160cec6e0346c533333","abstract_canon_sha256":"7ca0657ed8b61ff963b4bd2b89fb3ee24fc05871fae4ee37edf22f8194f47763"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:20:54.547793Z","signature_b64":"3wQTdfOyYwNWEcTy/awZ5I3F0g+U1UvhCP5vLmjly1OpPZHfTB5VW8eNIZFLFv/9w/bU/S6+YB6m9WLa5L1dBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1290eebb579f192fd779a06678c3733e98c543b20048c41b0b765a870a914d49","last_reissued_at":"2026-07-05T10:20:54.547093Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:20:54.547093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Graph Probability Aggregation Clustering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Difei Mei, Na Lu, Ruofan Yan, Youtian Du, Yuxuan Yan","submitted_at":"2025-02-27T09:11:32Z","abstract_excerpt":"Traditional clustering methods typically focus on either cluster-wise global clustering or point-wise local clustering to reveal the intrinsic structures in unlabeled data. Global clustering optimizes an objective function to explore the relationships between clusters, but this approach may inevitably lead to coarse partition. In contrast, local clustering heuristically groups data based on detailed point relationships, but it tends to be less coherence and efficient. To bridge the gap between these two concepts and utilize the strengths of both, we propose Graph Probability Aggregation Cluste"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19897","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/2502.19897/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":"2502.19897","created_at":"2026-07-05T10:20:54.547158+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.19897v1","created_at":"2026-07-05T10:20:54.547158+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19897","created_at":"2026-07-05T10:20:54.547158+00:00"},{"alias_kind":"pith_short_12","alias_value":"CKIO5O2XT4MS","created_at":"2026-07-05T10:20:54.547158+00:00"},{"alias_kind":"pith_short_16","alias_value":"CKIO5O2XT4MS7V3Z","created_at":"2026-07-05T10:20:54.547158+00:00"},{"alias_kind":"pith_short_8","alias_value":"CKIO5O2X","created_at":"2026-07-05T10:20:54.547158+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/CKIO5O2XT4MS7V3ZUBTHRQ3TH2","json":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2.json","graph_json":"https://pith.science/api/pith-number/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/graph.json","events_json":"https://pith.science/api/pith-number/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/events.json","paper":"https://pith.science/paper/CKIO5O2X"},"agent_actions":{"view_html":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2","download_json":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2.json","view_paper":"https://pith.science/paper/CKIO5O2X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.19897&json=true","fetch_graph":"https://pith.science/api/pith-number/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/graph.json","fetch_events":"https://pith.science/api/pith-number/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/action/storage_attestation","attest_author":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/action/author_attestation","sign_citation":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/action/citation_signature","submit_replication":"https://pith.science/pith/CKIO5O2XT4MS7V3ZUBTHRQ3TH2/action/replication_record"}},"created_at":"2026-07-05T10:20:54.547158+00:00","updated_at":"2026-07-05T10:20:54.547158+00:00"}