{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:DVX6SUEKZP52BUDETWYJNR7O7Q","short_pith_number":"pith:DVX6SUEK","schema_version":"1.0","canonical_sha256":"1d6fe9508acbfba0d0649db096c7eefc09c26e5e63d323b1accb0591a040a7df","source":{"kind":"arxiv","id":"2403.02998","version":3},"attestation_state":"computed","paper":{"title":"Towards Calibrated Deep Clustering Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hui Liu, Jianhong Cheng, Junhui Hou, Yuheng Jia","submitted_at":"2024-03-04T11:23:40Z","abstract_excerpt":"Deep clustering has exhibited remarkable performance; however, the over confidence problem, i.e., the estimated confidence for a sample belonging to a particular cluster greatly exceeds its actual prediction accuracy, has been over looked in prior research. To tackle this critical issue, we pioneer the development of a calibrated deep clustering framework. Specifically, we propose a novel dual head (calibration head and clustering head) deep clustering model that can effectively calibrate the estimated confidence and the actual accuracy. The calibration head adjusts the overconfident predictio"},"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":"2403.02998","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-04T11:23:40Z","cross_cats_sorted":[],"title_canon_sha256":"6aa3e7a58054cc1722ca57d83e7c59b06b6b8ce371456c2a709005d032dd9446","abstract_canon_sha256":"aebf96620ebe06d34fae3f165c67a8dbca807d1dc898c8030c83c92e4f470b22"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:42:57.652099Z","signature_b64":"nJ39Z4WCBJlbMgfVSyfCPML+s9wll596efK9TNjh+QwWJOvxopqkMp2odjfsKNekk6a0YwD5f9dWH5349BmxCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d6fe9508acbfba0d0649db096c7eefc09c26e5e63d323b1accb0591a040a7df","last_reissued_at":"2026-07-05T10:42:57.651651Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:42:57.651651Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Calibrated Deep Clustering Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hui Liu, Jianhong Cheng, Junhui Hou, Yuheng Jia","submitted_at":"2024-03-04T11:23:40Z","abstract_excerpt":"Deep clustering has exhibited remarkable performance; however, the over confidence problem, i.e., the estimated confidence for a sample belonging to a particular cluster greatly exceeds its actual prediction accuracy, has been over looked in prior research. To tackle this critical issue, we pioneer the development of a calibrated deep clustering framework. Specifically, we propose a novel dual head (calibration head and clustering head) deep clustering model that can effectively calibrate the estimated confidence and the actual accuracy. The calibration head adjusts the overconfident predictio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.02998","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/2403.02998/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":"2403.02998","created_at":"2026-07-05T10:42:57.651707+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.02998v3","created_at":"2026-07-05T10:42:57.651707+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.02998","created_at":"2026-07-05T10:42:57.651707+00:00"},{"alias_kind":"pith_short_12","alias_value":"DVX6SUEKZP52","created_at":"2026-07-05T10:42:57.651707+00:00"},{"alias_kind":"pith_short_16","alias_value":"DVX6SUEKZP52BUDE","created_at":"2026-07-05T10:42:57.651707+00:00"},{"alias_kind":"pith_short_8","alias_value":"DVX6SUEK","created_at":"2026-07-05T10:42:57.651707+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/DVX6SUEKZP52BUDETWYJNR7O7Q","json":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q.json","graph_json":"https://pith.science/api/pith-number/DVX6SUEKZP52BUDETWYJNR7O7Q/graph.json","events_json":"https://pith.science/api/pith-number/DVX6SUEKZP52BUDETWYJNR7O7Q/events.json","paper":"https://pith.science/paper/DVX6SUEK"},"agent_actions":{"view_html":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q","download_json":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q.json","view_paper":"https://pith.science/paper/DVX6SUEK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.02998&json=true","fetch_graph":"https://pith.science/api/pith-number/DVX6SUEKZP52BUDETWYJNR7O7Q/graph.json","fetch_events":"https://pith.science/api/pith-number/DVX6SUEKZP52BUDETWYJNR7O7Q/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q/action/storage_attestation","attest_author":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q/action/author_attestation","sign_citation":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q/action/citation_signature","submit_replication":"https://pith.science/pith/DVX6SUEKZP52BUDETWYJNR7O7Q/action/replication_record"}},"created_at":"2026-07-05T10:42:57.651707+00:00","updated_at":"2026-07-05T10:42:57.651707+00:00"}