{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:EGBULLGOBH2JJAXLEMLQ56366A","short_pith_number":"pith:EGBULLGO","schema_version":"1.0","canonical_sha256":"218345acce09f49482eb23170efb7ef022c4a959cba5b4cec7ac09e4760a604e","source":{"kind":"arxiv","id":"2606.01871","version":1},"attestation_state":"computed","paper":{"title":"Deep Learning for Generating Computational PIN-4 Immunohistochemistry Staining from Prostate Biopsy H&E Images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pratik Shah, Vietbao Tran","submitted_at":"2026-06-01T08:19:25Z","abstract_excerpt":"Immunohistochemistry (IHC)is frequently used to resolve diagnostically ambiguous prostate cancer biopsy findings on hematoxylin and eosin (H&E)-stained tissue. However, PIN-4 IHC staining is typically performed on adjacent tissue sections, limiting direct spatial comparison between the H&E morphology and the corresponding immunophenotypic signal. A paired, registered H&E/PIN-4 dataset was constructed from routine clinical prostate biopsy whole-slide images (WSIs), and a conditional generative adversarial network (cGAN) was trained to synthesize PIN-4 staining patterns directly from native H&E "},"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":"2606.01871","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-01T08:19:25Z","cross_cats_sorted":[],"title_canon_sha256":"d42b31fddce58c87d5728adafc8e5bb09a461c7d20af7276c04e5af2747b8a52","abstract_canon_sha256":"3399c3e2d186cba95f8e976db5b117bdf14af404d45e09f59dbce0e2f8bbc8ba"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:59.149545Z","signature_b64":"4Tf+xrFsneuV3k7YgxOuLt/9hnTlzFuy3EQWtKUll4WEVyIqWxCgsbTHovbvaU1cVmBXGOVsqQGJwoH/3hxqBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"218345acce09f49482eb23170efb7ef022c4a959cba5b4cec7ac09e4760a604e","last_reissued_at":"2026-06-02T02:04:59.149176Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:59.149176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Learning for Generating Computational PIN-4 Immunohistochemistry Staining from Prostate Biopsy H&E Images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pratik Shah, Vietbao Tran","submitted_at":"2026-06-01T08:19:25Z","abstract_excerpt":"Immunohistochemistry (IHC)is frequently used to resolve diagnostically ambiguous prostate cancer biopsy findings on hematoxylin and eosin (H&E)-stained tissue. However, PIN-4 IHC staining is typically performed on adjacent tissue sections, limiting direct spatial comparison between the H&E morphology and the corresponding immunophenotypic signal. A paired, registered H&E/PIN-4 dataset was constructed from routine clinical prostate biopsy whole-slide images (WSIs), and a conditional generative adversarial network (cGAN) was trained to synthesize PIN-4 staining patterns directly from native H&E "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.01871","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/2606.01871/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":"2606.01871","created_at":"2026-06-02T02:04:59.149225+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.01871v1","created_at":"2026-06-02T02:04:59.149225+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.01871","created_at":"2026-06-02T02:04:59.149225+00:00"},{"alias_kind":"pith_short_12","alias_value":"EGBULLGOBH2J","created_at":"2026-06-02T02:04:59.149225+00:00"},{"alias_kind":"pith_short_16","alias_value":"EGBULLGOBH2JJAXL","created_at":"2026-06-02T02:04:59.149225+00:00"},{"alias_kind":"pith_short_8","alias_value":"EGBULLGO","created_at":"2026-06-02T02:04:59.149225+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/EGBULLGOBH2JJAXLEMLQ56366A","json":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A.json","graph_json":"https://pith.science/api/pith-number/EGBULLGOBH2JJAXLEMLQ56366A/graph.json","events_json":"https://pith.science/api/pith-number/EGBULLGOBH2JJAXLEMLQ56366A/events.json","paper":"https://pith.science/paper/EGBULLGO"},"agent_actions":{"view_html":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A","download_json":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A.json","view_paper":"https://pith.science/paper/EGBULLGO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.01871&json=true","fetch_graph":"https://pith.science/api/pith-number/EGBULLGOBH2JJAXLEMLQ56366A/graph.json","fetch_events":"https://pith.science/api/pith-number/EGBULLGOBH2JJAXLEMLQ56366A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A/action/storage_attestation","attest_author":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A/action/author_attestation","sign_citation":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A/action/citation_signature","submit_replication":"https://pith.science/pith/EGBULLGOBH2JJAXLEMLQ56366A/action/replication_record"}},"created_at":"2026-06-02T02:04:59.149225+00:00","updated_at":"2026-06-02T02:04:59.149225+00:00"}