{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QTTKKBKHHMOLVYV2NAGFJT5FE5","short_pith_number":"pith:QTTKKBKH","canonical_record":{"source":{"id":"1908.00433","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2019-08-01T14:29:57Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"6702722986d3244885990535fe9b2fbf67e3577b3590a14f3db1aa5d35164a18","abstract_canon_sha256":"b7923cc477815bdc265dd5f041cf712b79714d135096ba18eb412ef6a3bc0ea1"},"schema_version":"1.0"},"canonical_sha256":"84e6a505473b1cbae2ba680c54cfa52763d3f323fdfebdc5bf86402eff64877c","source":{"kind":"arxiv","id":"1908.00433","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.00433","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"arxiv_version","alias_value":"1908.00433v1","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.00433","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"pith_short_12","alias_value":"QTTKKBKHHMOL","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"pith_short_16","alias_value":"QTTKKBKHHMOLVYV2","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"pith_short_8","alias_value":"QTTKKBKH","created_at":"2026-07-04T23:51:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QTTKKBKHHMOLVYV2NAGFJT5FE5","target":"record","payload":{"canonical_record":{"source":{"id":"1908.00433","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2019-08-01T14:29:57Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"6702722986d3244885990535fe9b2fbf67e3577b3590a14f3db1aa5d35164a18","abstract_canon_sha256":"b7923cc477815bdc265dd5f041cf712b79714d135096ba18eb412ef6a3bc0ea1"},"schema_version":"1.0"},"canonical_sha256":"84e6a505473b1cbae2ba680c54cfa52763d3f323fdfebdc5bf86402eff64877c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:51:00.471547Z","signature_b64":"Xx3CDDlEct/htKSJhi4jSQYcJvF7N/mrCB/1EDWnM5pJMlI923pg9tBIYkKY7fwC5bKhDGRpoXd0/W4ERdZuCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84e6a505473b1cbae2ba680c54cfa52763d3f323fdfebdc5bf86402eff64877c","last_reissued_at":"2026-07-04T23:51:00.471045Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:51:00.471045Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.00433","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-04T23:51:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8vUhrL+o6WqKx/JVgVZ77+DwpECXJdUSxIEddPh0N4EdLkPm1+phvPqbdUKN7XO6JtPfxvH2o6VtxDQjNgC+Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:01:51.594315Z"},"content_sha256":"9816caeddbbd99403b5bf300c6fdff556a574993e62e7e5736554804f3e7b5f9","schema_version":"1.0","event_id":"sha256:9816caeddbbd99403b5bf300c6fdff556a574993e62e7e5736554804f3e7b5f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QTTKKBKHHMOLVYV2NAGFJT5FE5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GANs 'N Lungs: improving pneumonia prediction","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Elena Ericheva, Ivan Drokin, Tatiana Malygina","submitted_at":"2019-08-01T14:29:57Z","abstract_excerpt":"We propose a novel method to improve deep learning model performance on highly-imbalanced tasks. The proposed method is based on CycleGAN to achieve balanced dataset. We show that data augmentation with GAN helps to improve accuracy of pneumonia binary classification task even if the generative network was trained on the same training dataset."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.00433","kind":"arxiv","version":1},"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/1908.00433/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-04T23:51:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eZc0jR9CIxvYSILAE2YzVOPxYU7pn2s4Q+O1FL/l/QRbh0BuUUcqZ3MZPiyZJCDfv5w99zxu4WGqXE7EfP66DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:01:51.595228Z"},"content_sha256":"940d29e8c33c80aa45bb18ea8cb63b41935ee31ed2877792f1c66f17b8a9c1e4","schema_version":"1.0","event_id":"sha256:940d29e8c33c80aa45bb18ea8cb63b41935ee31ed2877792f1c66f17b8a9c1e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QTTKKBKHHMOLVYV2NAGFJT5FE5/bundle.json","state_url":"https://pith.science/pith/QTTKKBKHHMOLVYV2NAGFJT5FE5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QTTKKBKHHMOLVYV2NAGFJT5FE5/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-10T15:01:51Z","links":{"resolver":"https://pith.science/pith/QTTKKBKHHMOLVYV2NAGFJT5FE5","bundle":"https://pith.science/pith/QTTKKBKHHMOLVYV2NAGFJT5FE5/bundle.json","state":"https://pith.science/pith/QTTKKBKHHMOLVYV2NAGFJT5FE5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QTTKKBKHHMOLVYV2NAGFJT5FE5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QTTKKBKHHMOLVYV2NAGFJT5FE5","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":"b7923cc477815bdc265dd5f041cf712b79714d135096ba18eb412ef6a3bc0ea1","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2019-08-01T14:29:57Z","title_canon_sha256":"6702722986d3244885990535fe9b2fbf67e3577b3590a14f3db1aa5d35164a18"},"schema_version":"1.0","source":{"id":"1908.00433","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.00433","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"arxiv_version","alias_value":"1908.00433v1","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.00433","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"pith_short_12","alias_value":"QTTKKBKHHMOL","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"pith_short_16","alias_value":"QTTKKBKHHMOLVYV2","created_at":"2026-07-04T23:51:00Z"},{"alias_kind":"pith_short_8","alias_value":"QTTKKBKH","created_at":"2026-07-04T23:51:00Z"}],"graph_snapshots":[{"event_id":"sha256:940d29e8c33c80aa45bb18ea8cb63b41935ee31ed2877792f1c66f17b8a9c1e4","target":"graph","created_at":"2026-07-04T23:51:00Z","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/1908.00433/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel method to improve deep learning model performance on highly-imbalanced tasks. The proposed method is based on CycleGAN to achieve balanced dataset. We show that data augmentation with GAN helps to improve accuracy of pneumonia binary classification task even if the generative network was trained on the same training dataset.","authors_text":"Elena Ericheva, Ivan Drokin, Tatiana Malygina","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2019-08-01T14:29:57Z","title":"GANs 'N Lungs: improving pneumonia prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.00433","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":"sha256:9816caeddbbd99403b5bf300c6fdff556a574993e62e7e5736554804f3e7b5f9","target":"record","created_at":"2026-07-04T23:51:00Z","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":"b7923cc477815bdc265dd5f041cf712b79714d135096ba18eb412ef6a3bc0ea1","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2019-08-01T14:29:57Z","title_canon_sha256":"6702722986d3244885990535fe9b2fbf67e3577b3590a14f3db1aa5d35164a18"},"schema_version":"1.0","source":{"id":"1908.00433","kind":"arxiv","version":1}},"canonical_sha256":"84e6a505473b1cbae2ba680c54cfa52763d3f323fdfebdc5bf86402eff64877c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84e6a505473b1cbae2ba680c54cfa52763d3f323fdfebdc5bf86402eff64877c","first_computed_at":"2026-07-04T23:51:00.471045Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:51:00.471045Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Xx3CDDlEct/htKSJhi4jSQYcJvF7N/mrCB/1EDWnM5pJMlI923pg9tBIYkKY7fwC5bKhDGRpoXd0/W4ERdZuCg==","signature_status":"signed_v1","signed_at":"2026-07-04T23:51:00.471547Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.00433","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9816caeddbbd99403b5bf300c6fdff556a574993e62e7e5736554804f3e7b5f9","sha256:940d29e8c33c80aa45bb18ea8cb63b41935ee31ed2877792f1c66f17b8a9c1e4"],"state_sha256":"9b5fe380dbeec1b50777f73190d3d9c9aea17ed6b06f20ad7fc0ade81d1fcee1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"82pIhgdacgnM6kR8yU7/gB+p1ChyBohOs3JMzwSj+ZwIwNBMGj5OMRfTSSnNjAjalFh1gFp26rwUzKN1m/9RCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T15:01:51.647938Z","bundle_sha256":"099e9929a907e218b7a18045433a5be89df751b9479aaa8267b1db60d919305d"}}