{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:FHFTBCTGSBPIRLFLAY24FAOQGF","short_pith_number":"pith:FHFTBCTG","schema_version":"1.0","canonical_sha256":"29cb308a66905e88acab0635c281d0317a6243ff06f51bc13fc897552fa2c05f","source":{"kind":"arxiv","id":"2303.07771","version":3},"attestation_state":"computed","paper":{"title":"Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Armin Gruber, Carsten Marr, Christian Metak, Rao Muhammad Umer, Sayedali Shetab Boushehri","submitted_at":"2023-03-14T10:20:31Z","abstract_excerpt":"Accurate morphological classification of white blood cells (WBCs) is an important step in the diagnosis of leukemia, a disease in which nonfunctional blast cells accumulate in the bone marrow. Recently, deep convolutional neural networks (CNNs) have been successfully used to classify leukocytes by training them on single-cell images from a specific domain. Most CNN models assume that the distributions of the training and test data are similar, i.e., the data are independently and identically distributed. Therefore, they are not robust to different staining procedures, magnifications, resolutio"},"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":"2303.07771","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-14T10:20:31Z","cross_cats_sorted":[],"title_canon_sha256":"e21ad861096ceda7fe25504b0ed8e1e21f7a0a0d4827745e2d1f46ce4b803608","abstract_canon_sha256":"5bde1bdd94f05f21842dd7163988e146e4ebb89b4da3fbc49fcc83686b321520"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:02:08.159548Z","signature_b64":"igajmU/hqtcVPeeiyybs3HtE3UukKixhZLjr3F8wZQhx8uPOmbZFUdSl1JoyH9jZndN9VcCuS0Fnriph5mjxBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29cb308a66905e88acab0635c281d0317a6243ff06f51bc13fc897552fa2c05f","last_reissued_at":"2026-07-05T06:02:08.159125Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:02:08.159125Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Armin Gruber, Carsten Marr, Christian Metak, Rao Muhammad Umer, Sayedali Shetab Boushehri","submitted_at":"2023-03-14T10:20:31Z","abstract_excerpt":"Accurate morphological classification of white blood cells (WBCs) is an important step in the diagnosis of leukemia, a disease in which nonfunctional blast cells accumulate in the bone marrow. Recently, deep convolutional neural networks (CNNs) have been successfully used to classify leukocytes by training them on single-cell images from a specific domain. Most CNN models assume that the distributions of the training and test data are similar, i.e., the data are independently and identically distributed. Therefore, they are not robust to different staining procedures, magnifications, resolutio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07771","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/2303.07771/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":"2303.07771","created_at":"2026-07-05T06:02:08.159187+00:00"},{"alias_kind":"arxiv_version","alias_value":"2303.07771v3","created_at":"2026-07-05T06:02:08.159187+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07771","created_at":"2026-07-05T06:02:08.159187+00:00"},{"alias_kind":"pith_short_12","alias_value":"FHFTBCTGSBPI","created_at":"2026-07-05T06:02:08.159187+00:00"},{"alias_kind":"pith_short_16","alias_value":"FHFTBCTGSBPIRLFL","created_at":"2026-07-05T06:02:08.159187+00:00"},{"alias_kind":"pith_short_8","alias_value":"FHFTBCTG","created_at":"2026-07-05T06:02:08.159187+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/FHFTBCTGSBPIRLFLAY24FAOQGF","json":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF.json","graph_json":"https://pith.science/api/pith-number/FHFTBCTGSBPIRLFLAY24FAOQGF/graph.json","events_json":"https://pith.science/api/pith-number/FHFTBCTGSBPIRLFLAY24FAOQGF/events.json","paper":"https://pith.science/paper/FHFTBCTG"},"agent_actions":{"view_html":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF","download_json":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF.json","view_paper":"https://pith.science/paper/FHFTBCTG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2303.07771&json=true","fetch_graph":"https://pith.science/api/pith-number/FHFTBCTGSBPIRLFLAY24FAOQGF/graph.json","fetch_events":"https://pith.science/api/pith-number/FHFTBCTGSBPIRLFLAY24FAOQGF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF/action/storage_attestation","attest_author":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF/action/author_attestation","sign_citation":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF/action/citation_signature","submit_replication":"https://pith.science/pith/FHFTBCTGSBPIRLFLAY24FAOQGF/action/replication_record"}},"created_at":"2026-07-05T06:02:08.159187+00:00","updated_at":"2026-07-05T06:02:08.159187+00:00"}