{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:EDWSWGHMKTOBPIVC6FPRWLJSBK","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":"73ff04d7a906d9978ec12695595eb576b368f7da763e617ec64c9dbbff9c2ff0","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-29T17:47:28Z","title_canon_sha256":"b810f043fed05aafb5cfd829e6bf694206527663411d0228a7e8705af68fde03"},"schema_version":"1.0","source":{"id":"1904.00839","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.00839","created_at":"2026-07-05T00:39:11Z"},{"alias_kind":"arxiv_version","alias_value":"1904.00839v1","created_at":"2026-07-05T00:39:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.00839","created_at":"2026-07-05T00:39:11Z"},{"alias_kind":"pith_short_12","alias_value":"EDWSWGHMKTOB","created_at":"2026-07-05T00:39:11Z"},{"alias_kind":"pith_short_16","alias_value":"EDWSWGHMKTOBPIVC","created_at":"2026-07-05T00:39:11Z"},{"alias_kind":"pith_short_8","alias_value":"EDWSWGHM","created_at":"2026-07-05T00:39:11Z"}],"graph_snapshots":[{"event_id":"sha256:b1e94588fdb73d31e126ea1731d932c02f92e5c2668ea838acde25670daf18e6","target":"graph","created_at":"2026-07-05T00:39:11Z","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/1904.00839/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider preoperative prediction of thyroid cancer based on ultra-high-resolution whole-slide cytopathology images. Inspired by how human experts perform diagnosis, our approach first identifies and classifies diagnostic image regions containing informative thyroid cells, which only comprise a tiny fraction of the entire image. These local estimates are then aggregated into a single prediction of thyroid malignancy. Several unique characteristics of thyroid cytopathology guide our deep-learning-based approach. While our method is closely related to multiple-instance learning, it deviates fr","authors_text":"Danielle Range, David Dov, Jonathan Cohen, Lawrence Carin, Ricardo Henao, Shahar Kovalsky","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-29T17:47:28Z","title":"Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.00839","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":"sha256:4836cb38011d60c20a995105f4366c900bbc283133aafdc8b526ca210053fe6d","target":"record","created_at":"2026-07-05T00:39:11Z","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":"73ff04d7a906d9978ec12695595eb576b368f7da763e617ec64c9dbbff9c2ff0","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-29T17:47:28Z","title_canon_sha256":"b810f043fed05aafb5cfd829e6bf694206527663411d0228a7e8705af68fde03"},"schema_version":"1.0","source":{"id":"1904.00839","kind":"arxiv","version":1}},"canonical_sha256":"20ed2b18ec54dc17a2a2f15f1b2d320aa9d1fee5900ae2e4aa9d2ca5a88a489c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20ed2b18ec54dc17a2a2f15f1b2d320aa9d1fee5900ae2e4aa9d2ca5a88a489c","first_computed_at":"2026-07-05T00:39:11.255284Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:39:11.255284Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bGJZI9h2GetSRNOELjwiuHSIgtKqgVMxdCWq7QLrAd4Af/eaf5iVoYDsPBe8SZ9htlWLXzmoc2FxJx0xOlOSCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:39:11.255787Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.00839","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4836cb38011d60c20a995105f4366c900bbc283133aafdc8b526ca210053fe6d","sha256:b1e94588fdb73d31e126ea1731d932c02f92e5c2668ea838acde25670daf18e6"],"state_sha256":"f52937e1594eeb34ea8ba861b4f5bd35223f4d49c8635f0feaf7729eaf4e06ca"}