{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:7XCLRJHKONMWCI4ADYQOM4ZQEM","short_pith_number":"pith:7XCLRJHK","canonical_record":{"source":{"id":"1909.04518","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-10T14:26:38Z","cross_cats_sorted":["cs.CV","q-bio.QM"],"title_canon_sha256":"a8c99029aeffbdde3d2dee0750a44a18fcb7f4e45559b9c7ebde9a26ea011d90","abstract_canon_sha256":"1ff04cec702fc2046fd0636fcf03b0d8f06e76e0d0c88019f862679718ab09e5"},"schema_version":"1.0"},"canonical_sha256":"fdc4b8a4ea73596123801e20e6733023236bdbd4fae943dd5280c27c43f88b95","source":{"kind":"arxiv","id":"1909.04518","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.04518","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"arxiv_version","alias_value":"1909.04518v1","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04518","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"pith_short_12","alias_value":"7XCLRJHKONMW","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"pith_short_16","alias_value":"7XCLRJHKONMWCI4A","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"pith_short_8","alias_value":"7XCLRJHK","created_at":"2026-07-05T01:55:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:7XCLRJHKONMWCI4ADYQOM4ZQEM","target":"record","payload":{"canonical_record":{"source":{"id":"1909.04518","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-10T14:26:38Z","cross_cats_sorted":["cs.CV","q-bio.QM"],"title_canon_sha256":"a8c99029aeffbdde3d2dee0750a44a18fcb7f4e45559b9c7ebde9a26ea011d90","abstract_canon_sha256":"1ff04cec702fc2046fd0636fcf03b0d8f06e76e0d0c88019f862679718ab09e5"},"schema_version":"1.0"},"canonical_sha256":"fdc4b8a4ea73596123801e20e6733023236bdbd4fae943dd5280c27c43f88b95","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:55:42.987551Z","signature_b64":"7dFkfzxwOGI/oSZuy9b+SFLBVIFH5L0fv15UMH+uWClGJQwPrsY/ap3wrsht2xM0D/OWncZruq6IZClVgCV1CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdc4b8a4ea73596123801e20e6733023236bdbd4fae943dd5280c27c43f88b95","last_reissued_at":"2026-07-05T01:55:42.987046Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:55:42.987046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.04518","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:55:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2EGoixn9a4OyK32XpSM1hZizT16foackX5qG2V0pKcVl3iJntj4a5jFOEsb7ckYZuaI6RqSGwNCjWM6aRmmyBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:55:28.880105Z"},"content_sha256":"e99689f7c8497737593d80407f614226428752a50775a52a6a93a891f29bf641","schema_version":"1.0","event_id":"sha256:e99689f7c8497737593d80407f614226428752a50775a52a6a93a891f29bf641"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:7XCLRJHKONMWCI4ADYQOM4ZQEM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Virtual organelle self-coding for fluorescence imaging via adversarial learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","q-bio.QM"],"primary_cat":"eess.IV","authors_text":"Anh Thai, Christopher B. Raub, George Nehmetallah, Lin-Ching Chang, Thanh Nguyen, Van Lam, Vy Bui","submitted_at":"2019-09-10T14:26:38Z","abstract_excerpt":"Fluorescence microscopy plays a vital role in understanding the subcellular structures of living cells. However, it requires considerable effort in sample preparation related to chemical fixation, staining, cost, and time. To reduce those factors, we present a virtual fluorescence staining method based on deep neural networks (VirFluoNet) to transform fluorescence images of molecular labels into other molecular fluorescence labels in the same field-of-view. To achieve this goal, we develop and train a conditional generative adversarial network (cGAN) to perform digital fluorescence imaging dem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04518","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/1909.04518/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":"2026-07-05T01:55:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Wj/KoksEr/GpU/NPVVOvbLswc6OqLUHWUFg9uJqUC1KWrMnwPPfiJpp6RKsiLJE1Cn63loRpWydvhflU642Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:55:28.880496Z"},"content_sha256":"cbf36edf3664116cbf5679ede3e780b86df975d02758678b5b236d13c8f696a6","schema_version":"1.0","event_id":"sha256:cbf36edf3664116cbf5679ede3e780b86df975d02758678b5b236d13c8f696a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7XCLRJHKONMWCI4ADYQOM4ZQEM/bundle.json","state_url":"https://pith.science/pith/7XCLRJHKONMWCI4ADYQOM4ZQEM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7XCLRJHKONMWCI4ADYQOM4ZQEM/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":"2026-07-07T06:55:28Z","links":{"resolver":"https://pith.science/pith/7XCLRJHKONMWCI4ADYQOM4ZQEM","bundle":"https://pith.science/pith/7XCLRJHKONMWCI4ADYQOM4ZQEM/bundle.json","state":"https://pith.science/pith/7XCLRJHKONMWCI4ADYQOM4ZQEM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7XCLRJHKONMWCI4ADYQOM4ZQEM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7XCLRJHKONMWCI4ADYQOM4ZQEM","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":"1ff04cec702fc2046fd0636fcf03b0d8f06e76e0d0c88019f862679718ab09e5","cross_cats_sorted":["cs.CV","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-10T14:26:38Z","title_canon_sha256":"a8c99029aeffbdde3d2dee0750a44a18fcb7f4e45559b9c7ebde9a26ea011d90"},"schema_version":"1.0","source":{"id":"1909.04518","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.04518","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"arxiv_version","alias_value":"1909.04518v1","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04518","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"pith_short_12","alias_value":"7XCLRJHKONMW","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"pith_short_16","alias_value":"7XCLRJHKONMWCI4A","created_at":"2026-07-05T01:55:42Z"},{"alias_kind":"pith_short_8","alias_value":"7XCLRJHK","created_at":"2026-07-05T01:55:42Z"}],"graph_snapshots":[{"event_id":"sha256:cbf36edf3664116cbf5679ede3e780b86df975d02758678b5b236d13c8f696a6","target":"graph","created_at":"2026-07-05T01:55:42Z","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/1909.04518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fluorescence microscopy plays a vital role in understanding the subcellular structures of living cells. However, it requires considerable effort in sample preparation related to chemical fixation, staining, cost, and time. To reduce those factors, we present a virtual fluorescence staining method based on deep neural networks (VirFluoNet) to transform fluorescence images of molecular labels into other molecular fluorescence labels in the same field-of-view. To achieve this goal, we develop and train a conditional generative adversarial network (cGAN) to perform digital fluorescence imaging dem","authors_text":"Anh Thai, Christopher B. Raub, George Nehmetallah, Lin-Ching Chang, Thanh Nguyen, Van Lam, Vy Bui","cross_cats":["cs.CV","q-bio.QM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-10T14:26:38Z","title":"Virtual organelle self-coding for fluorescence imaging via adversarial learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04518","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:e99689f7c8497737593d80407f614226428752a50775a52a6a93a891f29bf641","target":"record","created_at":"2026-07-05T01:55:42Z","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":"1ff04cec702fc2046fd0636fcf03b0d8f06e76e0d0c88019f862679718ab09e5","cross_cats_sorted":["cs.CV","q-bio.QM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-09-10T14:26:38Z","title_canon_sha256":"a8c99029aeffbdde3d2dee0750a44a18fcb7f4e45559b9c7ebde9a26ea011d90"},"schema_version":"1.0","source":{"id":"1909.04518","kind":"arxiv","version":1}},"canonical_sha256":"fdc4b8a4ea73596123801e20e6733023236bdbd4fae943dd5280c27c43f88b95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdc4b8a4ea73596123801e20e6733023236bdbd4fae943dd5280c27c43f88b95","first_computed_at":"2026-07-05T01:55:42.987046Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:55:42.987046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7dFkfzxwOGI/oSZuy9b+SFLBVIFH5L0fv15UMH+uWClGJQwPrsY/ap3wrsht2xM0D/OWncZruq6IZClVgCV1CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:55:42.987551Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.04518","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e99689f7c8497737593d80407f614226428752a50775a52a6a93a891f29bf641","sha256:cbf36edf3664116cbf5679ede3e780b86df975d02758678b5b236d13c8f696a6"],"state_sha256":"36c919349f456d1ba21a2ecc95ecb513538103acfb74b976aa9da9cf04c8c3af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SiPK1dpr7lQM4nOm0cYpFGEPuokj1UAOjTYbars6C6ZcFB9owEv7muSQB5pml1NowCV0hny3Z/ZqW6k5MVHUCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:55:28.882708Z","bundle_sha256":"e6db3a5f618548a3cda518829e3f67edbc558970a09c5b0abafd1ec9bd3a3046"}}