{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:R35LY4QLZFW2TSEXRMYI5KORNG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5088a6444033605cdc0bde5315fd83b750c5984b76710388c85252fea007e127","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T10:53:56Z","title_canon_sha256":"09cbaa4daa5479522864d341d40777f95d820870ed933b127fa4c512319b216e"},"schema_version":"1.0","source":{"id":"1711.11317","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.11317","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"arxiv_version","alias_value":"1711.11317v4","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.11317","created_at":"2026-05-18T00:11:18Z"},{"alias_kind":"pith_short_12","alias_value":"R35LY4QLZFW2","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"R35LY4QLZFW2TSEX","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"R35LY4QL","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:6b97312a1fb24c3629227da64a90e901296b1f0e81b7fced19fded4e01f71ad8","target":"graph","created_at":"2026-05-18T00:11:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The visual attributes of cells, such as the nuclear morphology and chromatin openness, are critical for histopathology image analysis. By learning cell-level visual representation, we can obtain a rich mix of features that are highly reusable for various tasks, such as cell-level classification, nuclei segmentation, and cell counting. In this paper, we propose a unified generative adversarial networks architecture with a new formulation of loss to perform robust cell-level visual representation learning in an unsupervised setting. Our model is not only label-free and easily trained but also ca","authors_text":"Bo Hu, Eric I-Chao Chang, Maode Lai, Yan Xu, Ye Tang, Yubo Fan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T10:53:56Z","title":"Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.11317","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:03742b63807cb40d1e84fc7803a071e1498490a73aa5c39abaa02c36985767c3","target":"record","created_at":"2026-05-18T00:11:18Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5088a6444033605cdc0bde5315fd83b750c5984b76710388c85252fea007e127","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-30T10:53:56Z","title_canon_sha256":"09cbaa4daa5479522864d341d40777f95d820870ed933b127fa4c512319b216e"},"schema_version":"1.0","source":{"id":"1711.11317","kind":"arxiv","version":4}},"canonical_sha256":"8efabc720bc96da9c8978b308ea9d169b9e5d19d4a8dc98512a8a6e0960748c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8efabc720bc96da9c8978b308ea9d169b9e5d19d4a8dc98512a8a6e0960748c0","first_computed_at":"2026-05-18T00:11:18.302639Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:18.302639Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8d+htw1DyMGvaWTBhpLbw7hnyA9e0VeNq1sok2t4JRDJNx2xmxotof+lCXIwqUAumEKatbaAnieQ9BD0DrqKDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:18.303308Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.11317","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03742b63807cb40d1e84fc7803a071e1498490a73aa5c39abaa02c36985767c3","sha256:6b97312a1fb24c3629227da64a90e901296b1f0e81b7fced19fded4e01f71ad8"],"state_sha256":"2dccae3c25f465e57b2498d838f65304a90311298337f17e6dfe9e9d6b196fa8"}