{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:CIKWMTMKEEWTF4F4EJFSDZOS6R","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":"56c52f5101d6c1187187515a3edf9f144f551cfd9009276b4cd5339fb22e902d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T10:27:03Z","title_canon_sha256":"b4efa3012296c2615dd6317b3b3cccb28c2eddca473f9536854be2b8eaef2cd9"},"schema_version":"1.0","source":{"id":"2606.27935","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27935","created_at":"2026-06-29T01:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27935v1","created_at":"2026-06-29T01:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27935","created_at":"2026-06-29T01:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"CIKWMTMKEEWT","created_at":"2026-06-29T01:14:53Z"},{"alias_kind":"pith_short_16","alias_value":"CIKWMTMKEEWTF4F4","created_at":"2026-06-29T01:14:53Z"},{"alias_kind":"pith_short_8","alias_value":"CIKWMTMK","created_at":"2026-06-29T01:14:53Z"}],"graph_snapshots":[{"event_id":"sha256:e664abda8e70460b72f408b7f88a0e85b030af5cb656c5215592ecd1652d02a9","target":"graph","created_at":"2026-06-29T01:14:53Z","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/2606.27935/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning has demonstrated remarkable success in high-throughput histopathology image analysis. However, the performance of learning-based models critically depends on the quality and size of annotations by expert pathologists, which is a resource-intensive and time-consuming process. To address the limitations of data scarcity and annotation burden, several methods have been proposed to synthesize paired histopathology data. Nevertheless, these frameworks typically still require annotation data, albeit in reduced quantities, to impose structural constraints during training.\n  In this work","authors_text":"Chenfei Ye, Jianfeng Cao, Jingyi Luo, Ting Ma, Yuheng Qiu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T10:27:03Z","title":"Controllable Histopathology Image Synthesis with Training-free Structural Initialization and Textural Modulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27935","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:f63c7d6f7678fc8bc987ea81da7db56dd98bd7017bf3322d16460b20b88b88a1","target":"record","created_at":"2026-06-29T01:14:53Z","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":"56c52f5101d6c1187187515a3edf9f144f551cfd9009276b4cd5339fb22e902d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T10:27:03Z","title_canon_sha256":"b4efa3012296c2615dd6317b3b3cccb28c2eddca473f9536854be2b8eaef2cd9"},"schema_version":"1.0","source":{"id":"2606.27935","kind":"arxiv","version":1}},"canonical_sha256":"1215664d8a212d32f0bc224b21e5d2f472b84848f549712f8053c38f1a7586ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1215664d8a212d32f0bc224b21e5d2f472b84848f549712f8053c38f1a7586ca","first_computed_at":"2026-06-29T01:14:53.095973Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:14:53.095973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NsQXXj1sKQFMYOSJ46+13GYgLXpQrKIBYYvDYzjCukyTEtPUlZT1QAg2gFLX21v0A7CyBo5YaI8yGye62qeIDQ==","signature_status":"signed_v1","signed_at":"2026-06-29T01:14:53.096408Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27935","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f63c7d6f7678fc8bc987ea81da7db56dd98bd7017bf3322d16460b20b88b88a1","sha256:e664abda8e70460b72f408b7f88a0e85b030af5cb656c5215592ecd1652d02a9"],"state_sha256":"85bba32d5e5f9ff182d05f54c1e69f3eb14c3c4d9186e82f73c7c7d321ac345b"}