{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QCQRB36POOSINZ32QQY6VOWPOT","short_pith_number":"pith:QCQRB36P","schema_version":"1.0","canonical_sha256":"80a110efcf73a486e77a8431eabacf74dcd8d980aa8de68d3d4073a47aad4ec4","source":{"kind":"arxiv","id":"2211.11262","version":3},"attestation_state":"computed","paper":{"title":"Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baigui Sun, Fei Wang, Lei Shang, Senqiao Yang, Stan Z. Li, Xuansong Xie, Zelin Zang","submitted_at":"2022-11-21T08:51:01Z","abstract_excerpt":"Unsupervised domain adaptation (UDA) has proven to be highly effective in transferring knowledge from a label-rich source domain to a label-scarce target domain. However, the presence of additional novel categories in the target domain has led to the development of open-set domain adaptation (ODA) and universal domain adaptation (UNDA). Existing ODA and UNDA methods treat all novel categories as a single, unified unknown class and attempt to detect it during training. However, we found that domain variance can lead to more significant view-noise in unsupervised data augmentation, which affects"},"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":"2211.11262","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-21T08:51:01Z","cross_cats_sorted":[],"title_canon_sha256":"344a999713470ac4102dcb461f152b53bdfae9f73c06e5396e4b0e997ff46e34","abstract_canon_sha256":"2b339f481e5cebda76c5ba60916e17ace151ab988cf12beba763e256ee165e34"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:33:41.866377Z","signature_b64":"XPj6I9W4CtwCLy713Mla2rOPj8Q60W/iPnBlElpVMIgYZ6ch6Nj/GDI+i4AfCIgokkGL/xQqIEm26w9c4r8RBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80a110efcf73a486e77a8431eabacf74dcd8d980aa8de68d3d4073a47aad4ec4","last_reissued_at":"2026-07-05T06:33:41.865947Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:33:41.865947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Baigui Sun, Fei Wang, Lei Shang, Senqiao Yang, Stan Z. Li, Xuansong Xie, Zelin Zang","submitted_at":"2022-11-21T08:51:01Z","abstract_excerpt":"Unsupervised domain adaptation (UDA) has proven to be highly effective in transferring knowledge from a label-rich source domain to a label-scarce target domain. However, the presence of additional novel categories in the target domain has led to the development of open-set domain adaptation (ODA) and universal domain adaptation (UNDA). Existing ODA and UNDA methods treat all novel categories as a single, unified unknown class and attempt to detect it during training. However, we found that domain variance can lead to more significant view-noise in unsupervised data augmentation, which affects"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.11262","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/2211.11262/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":"2211.11262","created_at":"2026-07-05T06:33:41.866005+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.11262v3","created_at":"2026-07-05T06:33:41.866005+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.11262","created_at":"2026-07-05T06:33:41.866005+00:00"},{"alias_kind":"pith_short_12","alias_value":"QCQRB36POOSI","created_at":"2026-07-05T06:33:41.866005+00:00"},{"alias_kind":"pith_short_16","alias_value":"QCQRB36POOSINZ32","created_at":"2026-07-05T06:33:41.866005+00:00"},{"alias_kind":"pith_short_8","alias_value":"QCQRB36P","created_at":"2026-07-05T06:33:41.866005+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/QCQRB36POOSINZ32QQY6VOWPOT","json":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT.json","graph_json":"https://pith.science/api/pith-number/QCQRB36POOSINZ32QQY6VOWPOT/graph.json","events_json":"https://pith.science/api/pith-number/QCQRB36POOSINZ32QQY6VOWPOT/events.json","paper":"https://pith.science/paper/QCQRB36P"},"agent_actions":{"view_html":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT","download_json":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT.json","view_paper":"https://pith.science/paper/QCQRB36P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.11262&json=true","fetch_graph":"https://pith.science/api/pith-number/QCQRB36POOSINZ32QQY6VOWPOT/graph.json","fetch_events":"https://pith.science/api/pith-number/QCQRB36POOSINZ32QQY6VOWPOT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT/action/storage_attestation","attest_author":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT/action/author_attestation","sign_citation":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT/action/citation_signature","submit_replication":"https://pith.science/pith/QCQRB36POOSINZ32QQY6VOWPOT/action/replication_record"}},"created_at":"2026-07-05T06:33:41.866005+00:00","updated_at":"2026-07-05T06:33:41.866005+00:00"}