{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:AMYQZKRPLFPCHY5DZ4KRS7DWOC","short_pith_number":"pith:AMYQZKRP","canonical_record":{"source":{"id":"1902.07762","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-20T20:13:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1d0c7e1810fde973a42e218f3a71b31f725ea114cadf44366008a4dd7dc5a128","abstract_canon_sha256":"1ad29bc6853a7abe512fd1329b4d46720aaea03f4ac63b3fb3ad39138ee6ca22"},"schema_version":"1.0"},"canonical_sha256":"03310caa2f595e23e3a3cf15197c7670a39b2996968bf0bdcf4e29d56436f8b1","source":{"kind":"arxiv","id":"1902.07762","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.07762","created_at":"2026-05-17T23:53:03Z"},{"alias_kind":"arxiv_version","alias_value":"1902.07762v1","created_at":"2026-05-17T23:53:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.07762","created_at":"2026-05-17T23:53:03Z"},{"alias_kind":"pith_short_12","alias_value":"AMYQZKRPLFPC","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"AMYQZKRPLFPCHY5D","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"AMYQZKRP","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:AMYQZKRPLFPCHY5DZ4KRS7DWOC","target":"record","payload":{"canonical_record":{"source":{"id":"1902.07762","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-20T20:13:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1d0c7e1810fde973a42e218f3a71b31f725ea114cadf44366008a4dd7dc5a128","abstract_canon_sha256":"1ad29bc6853a7abe512fd1329b4d46720aaea03f4ac63b3fb3ad39138ee6ca22"},"schema_version":"1.0"},"canonical_sha256":"03310caa2f595e23e3a3cf15197c7670a39b2996968bf0bdcf4e29d56436f8b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:03.937693Z","signature_b64":"wHR/G27x2MrmQdvZ9oMm/n05CX2xeB2T0uOjbeQVFb4gC56p89qAOfUKXFQPXb8tu+u7oz3hhxo5KJSI9MrxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"03310caa2f595e23e3a3cf15197c7670a39b2996968bf0bdcf4e29d56436f8b1","last_reissued_at":"2026-05-17T23:53:03.937004Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:03.937004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.07762","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":"2026-05-17T23:53:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"05kIP2PpJwu/ewLcj7NHyGLxoQHv7zAfhB1cDsnrKfWumL0gKgCUa633VmE4SXT3I7cSO8sCmZQAr7B6IA+1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T20:51:30.934287Z"},"content_sha256":"904aa6cad04f62e2b764f1b2b0f71d4ffabc0509048d4cdfeb50feddf44cd533","schema_version":"1.0","event_id":"sha256:904aa6cad04f62e2b764f1b2b0f71d4ffabc0509048d4cdfeb50feddf44cd533"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:AMYQZKRPLFPCHY5DZ4KRS7DWOC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adversarial Augmentation for Enhancing Classification of Mammography Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Anton S. Becker, Ender Konukoglu, Lukas Jendele, Ondrej Skopek","submitted_at":"2019-02-20T20:13:24Z","abstract_excerpt":"Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging. On the example of a binary image classification task (breast cancer recognition), we show that pretraining a generative model for meaningful image augmentation helps enhance the performance of the resulting classifier. By augmenting the data, performance on downstream classification tasks could be improved even with a relatively small training set. We show that this \"adversarial augmentation\" yields promising results com"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07762","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":""},"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":"2026-05-17T23:53:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xxfVuBDlPkzkLqo0htaH7971woqi0Whi55kFW+1WptKazMvZRr6fQ1x4GbNfF0NLQKVpgohhW1DdDjj2bTS5CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T20:51:30.934755Z"},"content_sha256":"3ae11447ea90e5eaaddd22b23f82b81804860a4ab01a59177324c1002254300f","schema_version":"1.0","event_id":"sha256:3ae11447ea90e5eaaddd22b23f82b81804860a4ab01a59177324c1002254300f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AMYQZKRPLFPCHY5DZ4KRS7DWOC/bundle.json","state_url":"https://pith.science/pith/AMYQZKRPLFPCHY5DZ4KRS7DWOC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AMYQZKRPLFPCHY5DZ4KRS7DWOC/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":"2026-05-31T20:51:30Z","links":{"resolver":"https://pith.science/pith/AMYQZKRPLFPCHY5DZ4KRS7DWOC","bundle":"https://pith.science/pith/AMYQZKRPLFPCHY5DZ4KRS7DWOC/bundle.json","state":"https://pith.science/pith/AMYQZKRPLFPCHY5DZ4KRS7DWOC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AMYQZKRPLFPCHY5DZ4KRS7DWOC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:AMYQZKRPLFPCHY5DZ4KRS7DWOC","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":"1ad29bc6853a7abe512fd1329b4d46720aaea03f4ac63b3fb3ad39138ee6ca22","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-20T20:13:24Z","title_canon_sha256":"1d0c7e1810fde973a42e218f3a71b31f725ea114cadf44366008a4dd7dc5a128"},"schema_version":"1.0","source":{"id":"1902.07762","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.07762","created_at":"2026-05-17T23:53:03Z"},{"alias_kind":"arxiv_version","alias_value":"1902.07762v1","created_at":"2026-05-17T23:53:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.07762","created_at":"2026-05-17T23:53:03Z"},{"alias_kind":"pith_short_12","alias_value":"AMYQZKRPLFPC","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"AMYQZKRPLFPCHY5D","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"AMYQZKRP","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:3ae11447ea90e5eaaddd22b23f82b81804860a4ab01a59177324c1002254300f","target":"graph","created_at":"2026-05-17T23:53:03Z","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":"Supervised deep learning relies on the assumption that enough training data is available, which presents a problem for its application to several fields, like medical imaging. On the example of a binary image classification task (breast cancer recognition), we show that pretraining a generative model for meaningful image augmentation helps enhance the performance of the resulting classifier. By augmenting the data, performance on downstream classification tasks could be improved even with a relatively small training set. We show that this \"adversarial augmentation\" yields promising results com","authors_text":"Anton S. Becker, Ender Konukoglu, Lukas Jendele, Ondrej Skopek","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-20T20:13:24Z","title":"Adversarial Augmentation for Enhancing Classification of Mammography Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07762","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":"sha256:904aa6cad04f62e2b764f1b2b0f71d4ffabc0509048d4cdfeb50feddf44cd533","target":"record","created_at":"2026-05-17T23:53:03Z","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":"1ad29bc6853a7abe512fd1329b4d46720aaea03f4ac63b3fb3ad39138ee6ca22","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-02-20T20:13:24Z","title_canon_sha256":"1d0c7e1810fde973a42e218f3a71b31f725ea114cadf44366008a4dd7dc5a128"},"schema_version":"1.0","source":{"id":"1902.07762","kind":"arxiv","version":1}},"canonical_sha256":"03310caa2f595e23e3a3cf15197c7670a39b2996968bf0bdcf4e29d56436f8b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03310caa2f595e23e3a3cf15197c7670a39b2996968bf0bdcf4e29d56436f8b1","first_computed_at":"2026-05-17T23:53:03.937004Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:53:03.937004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wHR/G27x2MrmQdvZ9oMm/n05CX2xeB2T0uOjbeQVFb4gC56p89qAOfUKXFQPXb8tu+u7oz3hhxo5KJSI9MrxAA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:53:03.937693Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.07762","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:904aa6cad04f62e2b764f1b2b0f71d4ffabc0509048d4cdfeb50feddf44cd533","sha256:3ae11447ea90e5eaaddd22b23f82b81804860a4ab01a59177324c1002254300f"],"state_sha256":"72160a2b6156dad34a679d1505454a3c38371b13a1aaeed40748cf88ce3ba5b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xkSpidxZVOXK7Sf0MbG3T0eSSREq1gCQ+shHlNHd/6XQoscvLl1ZRIPHCCvFnCGIiBktlkMgfOyDstpWPMR0BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T20:51:30.937932Z","bundle_sha256":"5d8caedd5881f245cdcba2865e1f7ccdfeee3b442f1d59d5093161ce30a05716"}}