{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:NZATNFBVSEKF2DLUG4TYN7QPWS","short_pith_number":"pith:NZATNFBV","schema_version":"1.0","canonical_sha256":"6e4136943591145d0d74372786fe0fb496b92af07330acda66fa8e87397de4cc","source":{"kind":"arxiv","id":"2504.18983","version":1},"attestation_state":"computed","paper":{"title":"MediAug: Exploring Visual Augmentation in Medical Imaging","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Canxuan Gang, Hao Zhang, Lei Zhang, Xuyin Qi, Yang Zhao, Zeyu Zhang, Zhiwei Zhang","submitted_at":"2025-04-26T17:56:56Z","abstract_excerpt":"Data augmentation is essential in medical imaging for improving classification accuracy, lesion detection, and organ segmentation under limited data conditions. However, two significant challenges remain. First, a pronounced domain gap between natural photographs and medical images can distort critical disease features. Second, augmentation studies in medical imaging are fragmented and limited to single tasks or architectures, leaving the benefits of advanced mix-based strategies unclear. To address these challenges, we propose a unified evaluation framework with six mix-based augmentation met"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2504.18983","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-26T17:56:56Z","cross_cats_sorted":[],"title_canon_sha256":"e2a4f7a7ef8a8f1404d170b2b74373b3fed924e04551dad61e87ad728c035009","abstract_canon_sha256":"0cd586320d4e739eab80dc01a56a50a74486a452a998ef17642862f5494233d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:49.997665Z","signature_b64":"WG8XgDPztIcm0xDGdoqhMXe8QcnqueGY/cKAq/sBp0Eqm+DEL8uU0zy2KVKR0an0Az/YmLyvWBlSL+iHTZe0Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6e4136943591145d0d74372786fe0fb496b92af07330acda66fa8e87397de4cc","last_reissued_at":"2026-07-05T10:54:49.997160Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:49.997160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MediAug: Exploring Visual Augmentation in Medical Imaging","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Canxuan Gang, Hao Zhang, Lei Zhang, Xuyin Qi, Yang Zhao, Zeyu Zhang, Zhiwei Zhang","submitted_at":"2025-04-26T17:56:56Z","abstract_excerpt":"Data augmentation is essential in medical imaging for improving classification accuracy, lesion detection, and organ segmentation under limited data conditions. However, two significant challenges remain. First, a pronounced domain gap between natural photographs and medical images can distort critical disease features. Second, augmentation studies in medical imaging are fragmented and limited to single tasks or architectures, leaving the benefits of advanced mix-based strategies unclear. To address these challenges, we propose a unified evaluation framework with six mix-based augmentation met"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.18983","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/2504.18983/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2504.18983","created_at":"2026-07-05T10:54:49.997219+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.18983v1","created_at":"2026-07-05T10:54:49.997219+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.18983","created_at":"2026-07-05T10:54:49.997219+00:00"},{"alias_kind":"pith_short_12","alias_value":"NZATNFBVSEKF","created_at":"2026-07-05T10:54:49.997219+00:00"},{"alias_kind":"pith_short_16","alias_value":"NZATNFBVSEKF2DLU","created_at":"2026-07-05T10:54:49.997219+00:00"},{"alias_kind":"pith_short_8","alias_value":"NZATNFBV","created_at":"2026-07-05T10:54:49.997219+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS","json":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS.json","graph_json":"https://pith.science/api/pith-number/NZATNFBVSEKF2DLUG4TYN7QPWS/graph.json","events_json":"https://pith.science/api/pith-number/NZATNFBVSEKF2DLUG4TYN7QPWS/events.json","paper":"https://pith.science/paper/NZATNFBV"},"agent_actions":{"view_html":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS","download_json":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS.json","view_paper":"https://pith.science/paper/NZATNFBV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.18983&json=true","fetch_graph":"https://pith.science/api/pith-number/NZATNFBVSEKF2DLUG4TYN7QPWS/graph.json","fetch_events":"https://pith.science/api/pith-number/NZATNFBVSEKF2DLUG4TYN7QPWS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS/action/storage_attestation","attest_author":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS/action/author_attestation","sign_citation":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS/action/citation_signature","submit_replication":"https://pith.science/pith/NZATNFBVSEKF2DLUG4TYN7QPWS/action/replication_record"}},"created_at":"2026-07-05T10:54:49.997219+00:00","updated_at":"2026-07-05T10:54:49.997219+00:00"}