{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:BMI7QKFBIEJ2K4EASMEHX46SWZ","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":"c06e1cbb2f950e91aa731211f02f5e3400561d61501dacac040c1f2e30736098","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-07T08:36:44Z","title_canon_sha256":"f937d41573a12251e6f69d57d63de66b91d39b6ee52ced5abab4c833cdffd8c2"},"schema_version":"1.0","source":{"id":"2010.03266","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.03266","created_at":"2026-07-05T01:41:11Z"},{"alias_kind":"arxiv_version","alias_value":"2010.03266v1","created_at":"2026-07-05T01:41:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.03266","created_at":"2026-07-05T01:41:11Z"},{"alias_kind":"pith_short_12","alias_value":"BMI7QKFBIEJ2","created_at":"2026-07-05T01:41:11Z"},{"alias_kind":"pith_short_16","alias_value":"BMI7QKFBIEJ2K4EA","created_at":"2026-07-05T01:41:11Z"},{"alias_kind":"pith_short_8","alias_value":"BMI7QKFB","created_at":"2026-07-05T01:41:11Z"}],"graph_snapshots":[{"event_id":"sha256:5a9f2ffd909fa95b8c09cd135f271bb39ee8fa9b5ee57036b00a3ed816b4008f","target":"graph","created_at":"2026-07-05T01:41:11Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2010.03266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive research interests. The exponential growth of medical images and uninterpretability of traditional classification models have hindered the applications of computer-assisted diagnosis. To address these issues, we propose a novel method for Learning Binary Semantic Embedding (LBSE). Based on the efficient and effective embedding, classification and retrieval are performed to provide interpretable computer-assisted diagnosi","authors_text":"Xiao Kang, Xingbo Liu, Xiushan Nie, Yilong Yin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-07T08:36:44Z","title":"Learning Binary Semantic Embedding for Histology Image Classification and Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.03266","kind":"arxiv","version":1},"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:b848c8c6d0542381a2eaeb485d3329cef439c1cb38a073b7df328c671a2bb879","target":"record","created_at":"2026-07-05T01:41:11Z","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":"c06e1cbb2f950e91aa731211f02f5e3400561d61501dacac040c1f2e30736098","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-07T08:36:44Z","title_canon_sha256":"f937d41573a12251e6f69d57d63de66b91d39b6ee52ced5abab4c833cdffd8c2"},"schema_version":"1.0","source":{"id":"2010.03266","kind":"arxiv","version":1}},"canonical_sha256":"0b11f828a14113a5708093087bf3d2b67519b6c4441f578ca60cdca93405c220","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b11f828a14113a5708093087bf3d2b67519b6c4441f578ca60cdca93405c220","first_computed_at":"2026-07-05T01:41:11.360469Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:41:11.360469Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OzqT72jdcRBpclmtlPwfxQIK3aauRnluiApRT4lbVsTr0Bm9Fp4MQdvv5F2QJediDipXHinqYF9/FvPi5y5XBw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:41:11.360822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.03266","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b848c8c6d0542381a2eaeb485d3329cef439c1cb38a073b7df328c671a2bb879","sha256:5a9f2ffd909fa95b8c09cd135f271bb39ee8fa9b5ee57036b00a3ed816b4008f"],"state_sha256":"772895473506db3b532cde9b7226bd34fcebf23025fee7e107a736b73af5b224"}