{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:47MZRMRCCOZQ246GQOEWPKGCCL","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":"5e36264a7d06b8eadfdafd5ad3127d7e694eaeeda5395348c238e8d3afb7488f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-04T15:05:59Z","title_canon_sha256":"7771040102d8ef5bb4d3c4bee9de61b6048d02893f16a6874b77b2f945f909e4"},"schema_version":"1.0","source":{"id":"1505.00670","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1505.00670","created_at":"2026-05-18T02:17:02Z"},{"alias_kind":"arxiv_version","alias_value":"1505.00670v1","created_at":"2026-05-18T02:17:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.00670","created_at":"2026-05-18T02:17:02Z"},{"alias_kind":"pith_short_12","alias_value":"47MZRMRCCOZQ","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"47MZRMRCCOZQ246G","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"47MZRMRC","created_at":"2026-05-18T12:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:2a27de74132c521090bf5fd60f735b6d35ba686df60162b0bd2539d19d542dc1","target":"graph","created_at":"2026-05-18T02:17:02Z","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":"Despite tremendous progress in computer vision, there has not been an attempt for machine learning on very large-scale medical image databases. We present an interleaved text/image deep learning system to extract and mine the semantic interactions of radiology images and reports from a national research hospital's Picture Archiving and Communication System. With natural language processing, we mine a collection of representative ~216K two-dimensional key images selected by clinicians for diagnostic reference, and match the images with their descriptions in an automated manner. Our system inter","authors_text":"Ari Seff, Hoo-Chang Shin, Jianhua Yao, Lauren Kim, Le Lu, Ronald M. Summers","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-04T15:05:59Z","title":"Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.00670","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":"sha256:444b20c82514cec62acb3d68822ef7f6ea339ab46bd482db5fe7361841cf7dbc","target":"record","created_at":"2026-05-18T02:17:02Z","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":"5e36264a7d06b8eadfdafd5ad3127d7e694eaeeda5395348c238e8d3afb7488f","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-05-04T15:05:59Z","title_canon_sha256":"7771040102d8ef5bb4d3c4bee9de61b6048d02893f16a6874b77b2f945f909e4"},"schema_version":"1.0","source":{"id":"1505.00670","kind":"arxiv","version":1}},"canonical_sha256":"e7d998b22213b30d73c6838967a8c212d5c19a83adeb8b7dd02698149ef30072","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7d998b22213b30d73c6838967a8c212d5c19a83adeb8b7dd02698149ef30072","first_computed_at":"2026-05-18T02:17:02.201963Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:17:02.201963Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dJnCJJYoW9q3z3d1KCvs/WVxC8h6SGgK78Aio/4lPrZqCrVGIX6tNZp/5LgUiUoYNwBsIQ9+lXu/9+qdqVJHAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:17:02.202558Z","signed_message":"canonical_sha256_bytes"},"source_id":"1505.00670","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:444b20c82514cec62acb3d68822ef7f6ea339ab46bd482db5fe7361841cf7dbc","sha256:2a27de74132c521090bf5fd60f735b6d35ba686df60162b0bd2539d19d542dc1"],"state_sha256":"b0c9aead8060496701ba20853e9d351fb3f0d82d503fbdba4431770ffd37d15a"}