{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HRSPXBP3AX23T3E3MLOLIHSAUF","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":"377d1c6abbddd7e4a7bcfa11376674284b91dccea2ea723910db278c93d07ceb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-13T01:45:32Z","title_canon_sha256":"9a82c53ee0b339e3e0f6e295dee13b3636f94b214a725b486993ebd2434613d8"},"schema_version":"1.0","source":{"id":"2601.08127","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.08127","created_at":"2026-07-02T01:17:26Z"},{"alias_kind":"arxiv_version","alias_value":"2601.08127v2","created_at":"2026-07-02T01:17:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.08127","created_at":"2026-07-02T01:17:26Z"},{"alias_kind":"pith_short_12","alias_value":"HRSPXBP3AX23","created_at":"2026-07-02T01:17:26Z"},{"alias_kind":"pith_short_16","alias_value":"HRSPXBP3AX23T3E3","created_at":"2026-07-02T01:17:26Z"},{"alias_kind":"pith_short_8","alias_value":"HRSPXBP3","created_at":"2026-07-02T01:17:26Z"}],"graph_snapshots":[{"event_id":"sha256:6db535f25cbcb665352dbe6e693a17d24e8e5e5ffe0b0c927a9e6489528585db","target":"graph","created_at":"2026-07-02T01:17:26Z","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/2601.08127/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Expert-annotated training data remains the critical bottleneck for AI in histopathology, particularly for rare pathologies where even dozens of cases may be unavailable. While data augmentation offers a solution, existing methods fail to generate sufficiently realistic lesion morphologies that preserve tissue-specific architectures. Here we present PathoGen, a diffusion-based generative model enabling controllable, high-fidelity lesion inpainting into benign histopathology images. We validate PathoGen across four datasets representing kidney, skin, breast, and prostate pathology. Quantitative ","authors_text":"Andrew Ferguson, Fabian Z. X. Lean, Kyongtae Tyler Bae, Mohamad Koohi-Moghadam, Mohammad-Ali Nikouei Mahani, Monalyn Marabi, Piyapharom Intarawichian, Raymond Yu O, Rex K.H. Au-Yeung","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-13T01:45:32Z","title":"Controllable Diffusion-Based Lesion Inpainting for Scalable Histopathology Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.08127","kind":"arxiv","version":2},"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":"sha256:9360919508fab4b385fcba1a62fd8a2cd61605c66ac06d1c7efa92f9658b6010","target":"record","created_at":"2026-07-02T01:17:26Z","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":"377d1c6abbddd7e4a7bcfa11376674284b91dccea2ea723910db278c93d07ceb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-01-13T01:45:32Z","title_canon_sha256":"9a82c53ee0b339e3e0f6e295dee13b3636f94b214a725b486993ebd2434613d8"},"schema_version":"1.0","source":{"id":"2601.08127","kind":"arxiv","version":2}},"canonical_sha256":"3c64fb85fb05f5b9ec9b62dcb41e40a14bec6c4182f564cddce584f921592ce7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c64fb85fb05f5b9ec9b62dcb41e40a14bec6c4182f564cddce584f921592ce7","first_computed_at":"2026-07-02T01:17:26.976738Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:17:26.976738Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DeZFQzRnT7+WHRDyh+Do1TltS2Lszxxbh0HtaIBbDnw5l2T7DtO6Y1Vt6fjQyOjkcbINkzMoloiWHoEqvCg/CA==","signature_status":"signed_v1","signed_at":"2026-07-02T01:17:26.977245Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.08127","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9360919508fab4b385fcba1a62fd8a2cd61605c66ac06d1c7efa92f9658b6010","sha256:6db535f25cbcb665352dbe6e693a17d24e8e5e5ffe0b0c927a9e6489528585db"],"state_sha256":"ba1d4be1261c4cf93ccb96530b9e95fde6a3dadd71436bd83c10ea62f2ba6cc7"}