{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FRBDJIHBRYTO6ZUOVMV2U62AH4","short_pith_number":"pith:FRBDJIHB","canonical_record":{"source":{"id":"2309.03744","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-07T14:37:50Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e4015c9ad1a3415868fa500f3110465ffd5102efaddfeb1401aefc56cce96904","abstract_canon_sha256":"d56111addc50a24ffd5c2829574a1aedddeee0568f7befaaf2dfba24fb1e5786"},"schema_version":"1.0"},"canonical_sha256":"2c4234a0e18e26ef668eab2baa7b403f297f2b14469d75149ee142f8e1f63ba8","source":{"kind":"arxiv","id":"2309.03744","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.03744","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"arxiv_version","alias_value":"2309.03744v3","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.03744","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"pith_short_12","alias_value":"FRBDJIHBRYTO","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"pith_short_16","alias_value":"FRBDJIHBRYTO6ZUO","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"pith_short_8","alias_value":"FRBDJIHB","created_at":"2026-07-05T07:33:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FRBDJIHBRYTO6ZUOVMV2U62AH4","target":"record","payload":{"canonical_record":{"source":{"id":"2309.03744","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-07T14:37:50Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"e4015c9ad1a3415868fa500f3110465ffd5102efaddfeb1401aefc56cce96904","abstract_canon_sha256":"d56111addc50a24ffd5c2829574a1aedddeee0568f7befaaf2dfba24fb1e5786"},"schema_version":"1.0"},"canonical_sha256":"2c4234a0e18e26ef668eab2baa7b403f297f2b14469d75149ee142f8e1f63ba8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:33:19.529783Z","signature_b64":"S8D2K+kyEEOuVXtB2TpdJJHIVjqm54mRKg2LZrIC7EvO2ejB+YeA43viTgGC31yFWDobSFwxVZ1JKl9sS8OhDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c4234a0e18e26ef668eab2baa7b403f297f2b14469d75149ee142f8e1f63ba8","last_reissued_at":"2026-07-05T07:33:19.529275Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:33:19.529275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.03744","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:33:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EdcynWLd0RqCcL8WviPmfnIjoH8Kyu6WHj5YYZRuNBNcy6OlPdlvYbzmUY85gUAu+NBDRr8qWcMKoY2WHaNEBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T14:39:22.609381Z"},"content_sha256":"e979947e7583008678e8e1bf517be7d880debdb5387a016abecb04d0a4b9888d","schema_version":"1.0","event_id":"sha256:e979947e7583008678e8e1bf517be7d880debdb5387a016abecb04d0a4b9888d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FRBDJIHBRYTO6ZUOVMV2U62AH4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Donald E. Brown, Gary K. Owens, Laura S. Shankman, Nazanin Moradinasab, Rebecca A. Deaton","submitted_at":"2023-09-07T14:37:50Z","abstract_excerpt":"Recently, deep learning-based methods achieved promising performance in nuclei detection and classification applications. However, training deep learning-based methods requires a large amount of pixel-wise annotated data, which is time-consuming and labor-intensive, especially in 3D images. An alternative approach is to adapt weak-annotation methods, such as labeling each nucleus with a point, but this method does not extend from 2D histopathology images (for which it was originally developed) to 3D immunofluorescent images. The reason is that 3D images contain multiple channels (z-axis) for n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.03744","kind":"arxiv","version":3},"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/2309.03744/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":"2026-07-05T07:33:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W7VEcDSLzNKI540mCqjr6VNBsOop2rmM1tEggKecf9V5aDmpbx9aKLZFfy/OEInJRAWZ3/7cvOScvCxP1JgvBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T14:39:22.610259Z"},"content_sha256":"8cdc6b9ed8c9e0dc775aae339ea0251bf33eec3ff2b1bd76ab3de58f5ffdb184","schema_version":"1.0","event_id":"sha256:8cdc6b9ed8c9e0dc775aae339ea0251bf33eec3ff2b1bd76ab3de58f5ffdb184"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FRBDJIHBRYTO6ZUOVMV2U62AH4/bundle.json","state_url":"https://pith.science/pith/FRBDJIHBRYTO6ZUOVMV2U62AH4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FRBDJIHBRYTO6ZUOVMV2U62AH4/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":"2026-08-12T14:39:22Z","links":{"resolver":"https://pith.science/pith/FRBDJIHBRYTO6ZUOVMV2U62AH4","bundle":"https://pith.science/pith/FRBDJIHBRYTO6ZUOVMV2U62AH4/bundle.json","state":"https://pith.science/pith/FRBDJIHBRYTO6ZUOVMV2U62AH4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FRBDJIHBRYTO6ZUOVMV2U62AH4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FRBDJIHBRYTO6ZUOVMV2U62AH4","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":"d56111addc50a24ffd5c2829574a1aedddeee0568f7befaaf2dfba24fb1e5786","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-07T14:37:50Z","title_canon_sha256":"e4015c9ad1a3415868fa500f3110465ffd5102efaddfeb1401aefc56cce96904"},"schema_version":"1.0","source":{"id":"2309.03744","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.03744","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"arxiv_version","alias_value":"2309.03744v3","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.03744","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"pith_short_12","alias_value":"FRBDJIHBRYTO","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"pith_short_16","alias_value":"FRBDJIHBRYTO6ZUO","created_at":"2026-07-05T07:33:19Z"},{"alias_kind":"pith_short_8","alias_value":"FRBDJIHB","created_at":"2026-07-05T07:33:19Z"}],"graph_snapshots":[{"event_id":"sha256:8cdc6b9ed8c9e0dc775aae339ea0251bf33eec3ff2b1bd76ab3de58f5ffdb184","target":"graph","created_at":"2026-07-05T07:33:19Z","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/2309.03744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, deep learning-based methods achieved promising performance in nuclei detection and classification applications. However, training deep learning-based methods requires a large amount of pixel-wise annotated data, which is time-consuming and labor-intensive, especially in 3D images. An alternative approach is to adapt weak-annotation methods, such as labeling each nucleus with a point, but this method does not extend from 2D histopathology images (for which it was originally developed) to 3D immunofluorescent images. The reason is that 3D images contain multiple channels (z-axis) for n","authors_text":"Donald E. Brown, Gary K. Owens, Laura S. Shankman, Nazanin Moradinasab, Rebecca A. Deaton","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-07T14:37:50Z","title":"Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.03744","kind":"arxiv","version":3},"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:e979947e7583008678e8e1bf517be7d880debdb5387a016abecb04d0a4b9888d","target":"record","created_at":"2026-07-05T07:33:19Z","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":"d56111addc50a24ffd5c2829574a1aedddeee0568f7befaaf2dfba24fb1e5786","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-09-07T14:37:50Z","title_canon_sha256":"e4015c9ad1a3415868fa500f3110465ffd5102efaddfeb1401aefc56cce96904"},"schema_version":"1.0","source":{"id":"2309.03744","kind":"arxiv","version":3}},"canonical_sha256":"2c4234a0e18e26ef668eab2baa7b403f297f2b14469d75149ee142f8e1f63ba8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c4234a0e18e26ef668eab2baa7b403f297f2b14469d75149ee142f8e1f63ba8","first_computed_at":"2026-07-05T07:33:19.529275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:33:19.529275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S8D2K+kyEEOuVXtB2TpdJJHIVjqm54mRKg2LZrIC7EvO2ejB+YeA43viTgGC31yFWDobSFwxVZ1JKl9sS8OhDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:33:19.529783Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.03744","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e979947e7583008678e8e1bf517be7d880debdb5387a016abecb04d0a4b9888d","sha256:8cdc6b9ed8c9e0dc775aae339ea0251bf33eec3ff2b1bd76ab3de58f5ffdb184"],"state_sha256":"1cab47ef7efe03b77f99efe914b3fbdf9058123162c56668bd192c7a459d96f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HNI5xldAQHh8iUOYyRubIKPfxKg/txGs4HKUfK38BNIGPUCAZurjXEoxp28dTEZLLH+G9BX8syDu6Lj36uwXCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T14:39:22.617441Z","bundle_sha256":"acd98e0937b941b982494138c45b9ff0f136a6c0661e5dd8fd96db52faee5816"}}