{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KVL4D6MRI4XVJS7GWGS576W3HR","short_pith_number":"pith:KVL4D6MR","canonical_record":{"source":{"id":"2505.10993","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-16T08:44:50Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"383afab6665018cbba3c9505a47b92eb4553c2333443699441e9bde14763bd52","abstract_canon_sha256":"3359fc152807f76a297218043a3b904afe87acad83dee28d204d102e50253cb3"},"schema_version":"1.0"},"canonical_sha256":"5557c1f991472f54cbe6b1a5dffadb3c42e49792e0fa62dac11bbc2316659618","source":{"kind":"arxiv","id":"2505.10993","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.10993","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2505.10993v2","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.10993","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"KVL4D6MRI4XV","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"KVL4D6MRI4XVJS7G","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"KVL4D6MR","created_at":"2026-07-05T12:06:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KVL4D6MRI4XVJS7GWGS576W3HR","target":"record","payload":{"canonical_record":{"source":{"id":"2505.10993","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-16T08:44:50Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"383afab6665018cbba3c9505a47b92eb4553c2333443699441e9bde14763bd52","abstract_canon_sha256":"3359fc152807f76a297218043a3b904afe87acad83dee28d204d102e50253cb3"},"schema_version":"1.0"},"canonical_sha256":"5557c1f991472f54cbe6b1a5dffadb3c42e49792e0fa62dac11bbc2316659618","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:12.437253Z","signature_b64":"BOHMaxlJTktNVJ+/NOEObm+obn+XsUgL98wY+sNlzhvXq+aaTjoA/4E5Gy91UDOmKuTMQLey6BBfUB2pXSzZBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5557c1f991472f54cbe6b1a5dffadb3c42e49792e0fa62dac11bbc2316659618","last_reissued_at":"2026-07-05T12:06:12.436762Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:12.436762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.10993","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yeMWceVZQq1c10/Tr64WZ1Jaq+e6GAXzo9U9pCb9XQgW2Kr1hmsLPTHt5vx6HAs2ElGXdmUuAjwnnc/87XOjCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:02:14.368511Z"},"content_sha256":"aa75c4611a445139235b416bef8e61aed178c918dc00ff04d2eeb797bb09bb24","schema_version":"1.0","event_id":"sha256:aa75c4611a445139235b416bef8e61aed178c918dc00ff04d2eeb797bb09bb24"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KVL4D6MRI4XVJS7GWGS576W3HR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Feng Chen, Guanyu Yang, Huazhu Fu, Xiaoming Qi, Xinfeng Zhang, Xinyu Wu, Yuan Zhang","submitted_at":"2025-05-16T08:44:50Z","abstract_excerpt":"Content generation modeling has emerged as a promising direction in computational pathology, offering capabilities such as data-efficient learning, synthetic data augmentation, and task-oriented generation across diverse diagnostic tasks. This review provides a comprehensive synthesis of recent progress in the field, organized into four key domains: image generation, text generation, molecular profile-morphology generation, and other specialized generation applications. By analyzing over 150 representative studies, we trace the evolution of content generation architectures -- from early genera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.10993","kind":"arxiv","version":2},"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/2505.10993/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:06:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TbmjegaEZsnt0p24Mx9uatTw4eweTK/Rc/TerWhNBD+RtPRsC9KIFEETRHhTtoKpMm60pg7Rs5uhRfE3NsbVBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:02:14.368998Z"},"content_sha256":"f3ce6407bc22dce02038d33bd6919d69ac9ffb414480aa3417908595684cffd2","schema_version":"1.0","event_id":"sha256:f3ce6407bc22dce02038d33bd6919d69ac9ffb414480aa3417908595684cffd2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KVL4D6MRI4XVJS7GWGS576W3HR/bundle.json","state_url":"https://pith.science/pith/KVL4D6MRI4XVJS7GWGS576W3HR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KVL4D6MRI4XVJS7GWGS576W3HR/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":"2026-08-05T07:02:14Z","links":{"resolver":"https://pith.science/pith/KVL4D6MRI4XVJS7GWGS576W3HR","bundle":"https://pith.science/pith/KVL4D6MRI4XVJS7GWGS576W3HR/bundle.json","state":"https://pith.science/pith/KVL4D6MRI4XVJS7GWGS576W3HR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KVL4D6MRI4XVJS7GWGS576W3HR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KVL4D6MRI4XVJS7GWGS576W3HR","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":"3359fc152807f76a297218043a3b904afe87acad83dee28d204d102e50253cb3","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-16T08:44:50Z","title_canon_sha256":"383afab6665018cbba3c9505a47b92eb4553c2333443699441e9bde14763bd52"},"schema_version":"1.0","source":{"id":"2505.10993","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.10993","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"arxiv_version","alias_value":"2505.10993v2","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.10993","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_12","alias_value":"KVL4D6MRI4XV","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_16","alias_value":"KVL4D6MRI4XVJS7G","created_at":"2026-07-05T12:06:12Z"},{"alias_kind":"pith_short_8","alias_value":"KVL4D6MR","created_at":"2026-07-05T12:06:12Z"}],"graph_snapshots":[{"event_id":"sha256:f3ce6407bc22dce02038d33bd6919d69ac9ffb414480aa3417908595684cffd2","target":"graph","created_at":"2026-07-05T12:06:12Z","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/2505.10993/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Content generation modeling has emerged as a promising direction in computational pathology, offering capabilities such as data-efficient learning, synthetic data augmentation, and task-oriented generation across diverse diagnostic tasks. This review provides a comprehensive synthesis of recent progress in the field, organized into four key domains: image generation, text generation, molecular profile-morphology generation, and other specialized generation applications. By analyzing over 150 representative studies, we trace the evolution of content generation architectures -- from early genera","authors_text":"Feng Chen, Guanyu Yang, Huazhu Fu, Xiaoming Qi, Xinfeng Zhang, Xinyu Wu, Yuan Zhang","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-16T08:44:50Z","title":"Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.10993","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:aa75c4611a445139235b416bef8e61aed178c918dc00ff04d2eeb797bb09bb24","target":"record","created_at":"2026-07-05T12:06:12Z","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":"3359fc152807f76a297218043a3b904afe87acad83dee28d204d102e50253cb3","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2025-05-16T08:44:50Z","title_canon_sha256":"383afab6665018cbba3c9505a47b92eb4553c2333443699441e9bde14763bd52"},"schema_version":"1.0","source":{"id":"2505.10993","kind":"arxiv","version":2}},"canonical_sha256":"5557c1f991472f54cbe6b1a5dffadb3c42e49792e0fa62dac11bbc2316659618","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5557c1f991472f54cbe6b1a5dffadb3c42e49792e0fa62dac11bbc2316659618","first_computed_at":"2026-07-05T12:06:12.436762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:12.436762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BOHMaxlJTktNVJ+/NOEObm+obn+XsUgL98wY+sNlzhvXq+aaTjoA/4E5Gy91UDOmKuTMQLey6BBfUB2pXSzZBg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:12.437253Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.10993","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa75c4611a445139235b416bef8e61aed178c918dc00ff04d2eeb797bb09bb24","sha256:f3ce6407bc22dce02038d33bd6919d69ac9ffb414480aa3417908595684cffd2"],"state_sha256":"d8c93c5fabddf4ea02061d66779911c554fdbad9a49b4ac45e911883c6cf4fde"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s2CAlfAXzSxutxo+wjO2GIZqcDjW20KtURsmiiOCM5nunqfOmoOy8iQHIOBqflDcro9SietAHXqgnP9AmgBIDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T07:02:14.372590Z","bundle_sha256":"f4e97eb57e2a50ae41944e08eac29b23d7fff9df816e2986049444b07a4de6d9"}}