{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:P3LIY27J3AJB5IQULCZRP6CPE5","short_pith_number":"pith:P3LIY27J","canonical_record":{"source":{"id":"1904.13281","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-04-30T14:42:53Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"ce1a00e6a67d2c1c4899d36ec661ee1ee283c028322b531cea0783970fa2431e","abstract_canon_sha256":"875a64f9ff0f9b114759e2cbaa135d6493c025990862e577582f94e10bff6eb4"},"schema_version":"1.0"},"canonical_sha256":"7ed68c6be9d8121ea21458b317f84f277b04674e2476680b80341f1a262d7b69","source":{"kind":"arxiv","id":"1904.13281","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.13281","created_at":"2026-05-17T23:47:21Z"},{"alias_kind":"arxiv_version","alias_value":"1904.13281v1","created_at":"2026-05-17T23:47:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.13281","created_at":"2026-05-17T23:47:21Z"},{"alias_kind":"pith_short_12","alias_value":"P3LIY27J3AJB","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"P3LIY27J3AJB5IQU","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"P3LIY27J","created_at":"2026-05-18T12:33:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:P3LIY27J3AJB5IQULCZRP6CPE5","target":"record","payload":{"canonical_record":{"source":{"id":"1904.13281","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-04-30T14:42:53Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"ce1a00e6a67d2c1c4899d36ec661ee1ee283c028322b531cea0783970fa2431e","abstract_canon_sha256":"875a64f9ff0f9b114759e2cbaa135d6493c025990862e577582f94e10bff6eb4"},"schema_version":"1.0"},"canonical_sha256":"7ed68c6be9d8121ea21458b317f84f277b04674e2476680b80341f1a262d7b69","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:21.752159Z","signature_b64":"T4Py+eqSgausntUBGUR707TNpH/GycEBlf0Q9eIXwPnO+WtkAQ3cUQ8zh/fIh1U/X40ae5GasyPxGcSYFLd8Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ed68c6be9d8121ea21458b317f84f277b04674e2476680b80341f1a262d7b69","last_reissued_at":"2026-05-17T23:47:21.751649Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:21.751649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.13281","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":"2026-05-17T23:47:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2FYI4QFYZ6Qy0WC4CgXcMRXl4eIaLFL8KsX6mMbGtgWo8H3LWJ49dTAc3hneQGjKzgu8YjuO6Z4IbVl21K4WDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:15:45.343488Z"},"content_sha256":"07550ed35a46425d184374acae0f2ee2272c78ce2e67d6dbdad948b622f4e029","schema_version":"1.0","event_id":"sha256:07550ed35a46425d184374acae0f2ee2272c78ce2e67d6dbdad948b622f4e029"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:P3LIY27J3AJB5IQULCZRP6CPE5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Jonathan Rubin, S. Mazdak Abulnaga","submitted_at":"2019-04-30T14:42:53Z","abstract_excerpt":"Infarcted brain tissue resulting from acute stroke readily shows up as hyperintense regions within diffusion-weighted magnetic resonance imaging (DWI). It has also been proposed that computed tomography perfusion (CTP) could alternatively be used to triage stroke patients, given improvements in speed and availability, as well as reduced cost. However, CTP has a lower signal to noise ratio compared to MR. In this work, we investigate whether a conditional mapping can be learned by a generative adversarial network to map CTP inputs to generated MR DWI that more clearly delineates hyperintense re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.13281","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":""},"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":"2026-05-17T23:47:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iyyM24Lp2ryGhXHdM2dz4+FyahunRWb3/cdDnKernHgqbM8cdq1D371jLpQhTMNOt5bTvMz5cFQ+CTqS09/8Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:15:45.343751Z"},"content_sha256":"91990893f373d5ef590dddb5a4bfac637f80b4e66b080d8b5d29d926a3d6a90d","schema_version":"1.0","event_id":"sha256:91990893f373d5ef590dddb5a4bfac637f80b4e66b080d8b5d29d926a3d6a90d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P3LIY27J3AJB5IQULCZRP6CPE5/bundle.json","state_url":"https://pith.science/pith/P3LIY27J3AJB5IQULCZRP6CPE5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P3LIY27J3AJB5IQULCZRP6CPE5/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":"2026-07-31T14:15:45Z","links":{"resolver":"https://pith.science/pith/P3LIY27J3AJB5IQULCZRP6CPE5","bundle":"https://pith.science/pith/P3LIY27J3AJB5IQULCZRP6CPE5/bundle.json","state":"https://pith.science/pith/P3LIY27J3AJB5IQULCZRP6CPE5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P3LIY27J3AJB5IQULCZRP6CPE5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:P3LIY27J3AJB5IQULCZRP6CPE5","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":"875a64f9ff0f9b114759e2cbaa135d6493c025990862e577582f94e10bff6eb4","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-04-30T14:42:53Z","title_canon_sha256":"ce1a00e6a67d2c1c4899d36ec661ee1ee283c028322b531cea0783970fa2431e"},"schema_version":"1.0","source":{"id":"1904.13281","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.13281","created_at":"2026-05-17T23:47:21Z"},{"alias_kind":"arxiv_version","alias_value":"1904.13281v1","created_at":"2026-05-17T23:47:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.13281","created_at":"2026-05-17T23:47:21Z"},{"alias_kind":"pith_short_12","alias_value":"P3LIY27J3AJB","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_16","alias_value":"P3LIY27J3AJB5IQU","created_at":"2026-05-18T12:33:24Z"},{"alias_kind":"pith_short_8","alias_value":"P3LIY27J","created_at":"2026-05-18T12:33:24Z"}],"graph_snapshots":[{"event_id":"sha256:91990893f373d5ef590dddb5a4bfac637f80b4e66b080d8b5d29d926a3d6a90d","target":"graph","created_at":"2026-05-17T23:47:21Z","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"},"paper":{"abstract_excerpt":"Infarcted brain tissue resulting from acute stroke readily shows up as hyperintense regions within diffusion-weighted magnetic resonance imaging (DWI). It has also been proposed that computed tomography perfusion (CTP) could alternatively be used to triage stroke patients, given improvements in speed and availability, as well as reduced cost. However, CTP has a lower signal to noise ratio compared to MR. In this work, we investigate whether a conditional mapping can be learned by a generative adversarial network to map CTP inputs to generated MR DWI that more clearly delineates hyperintense re","authors_text":"Jonathan Rubin, S. Mazdak Abulnaga","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-04-30T14:42:53Z","title":"CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.13281","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":"sha256:07550ed35a46425d184374acae0f2ee2272c78ce2e67d6dbdad948b622f4e029","target":"record","created_at":"2026-05-17T23:47:21Z","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":"875a64f9ff0f9b114759e2cbaa135d6493c025990862e577582f94e10bff6eb4","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-04-30T14:42:53Z","title_canon_sha256":"ce1a00e6a67d2c1c4899d36ec661ee1ee283c028322b531cea0783970fa2431e"},"schema_version":"1.0","source":{"id":"1904.13281","kind":"arxiv","version":1}},"canonical_sha256":"7ed68c6be9d8121ea21458b317f84f277b04674e2476680b80341f1a262d7b69","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ed68c6be9d8121ea21458b317f84f277b04674e2476680b80341f1a262d7b69","first_computed_at":"2026-05-17T23:47:21.751649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:21.751649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T4Py+eqSgausntUBGUR707TNpH/GycEBlf0Q9eIXwPnO+WtkAQ3cUQ8zh/fIh1U/X40ae5GasyPxGcSYFLd8Dg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:21.752159Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.13281","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07550ed35a46425d184374acae0f2ee2272c78ce2e67d6dbdad948b622f4e029","sha256:91990893f373d5ef590dddb5a4bfac637f80b4e66b080d8b5d29d926a3d6a90d"],"state_sha256":"10db58c4888cddbdce1d57dc74dcfe90e13773d2a9d7e929e7ac618a58778c76"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ekjfc9GcpEYOFYQr9UOkMsMiQAyPvgPM07ylekp2kMXBWSjyAD3z0W/dFnGGwvWmX1uucB/jXi/M50OUW8/VCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T14:15:45.346899Z","bundle_sha256":"b1bc73bcf13aa749e1ecab704c4e78366f2059908681d2d73c816f975ab3834c"}}