{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:I6TRYIT5SWLALZQOQPZVX2TOR6","short_pith_number":"pith:I6TRYIT5","canonical_record":{"source":{"id":"1905.03356","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-08T21:19:02Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"76dd1a291a6a871c0ead84fb25a99ec6d3fd4b6a148fb5efeba485ccde5bac93","abstract_canon_sha256":"86728ac9ddd6e12c30085b6ef32d2aafd73585c4f424ef81d4a08894caf45670"},"schema_version":"1.0"},"canonical_sha256":"47a71c227d959605e60e83f35bea6e8f92a9a6133c2cafbd05f84e684aa04723","source":{"kind":"arxiv","id":"1905.03356","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.03356","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"arxiv_version","alias_value":"1905.03356v2","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.03356","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"pith_short_12","alias_value":"I6TRYIT5SWLA","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"pith_short_16","alias_value":"I6TRYIT5SWLALZQO","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"pith_short_8","alias_value":"I6TRYIT5","created_at":"2026-07-05T00:15:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:I6TRYIT5SWLALZQOQPZVX2TOR6","target":"record","payload":{"canonical_record":{"source":{"id":"1905.03356","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-08T21:19:02Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"76dd1a291a6a871c0ead84fb25a99ec6d3fd4b6a148fb5efeba485ccde5bac93","abstract_canon_sha256":"86728ac9ddd6e12c30085b6ef32d2aafd73585c4f424ef81d4a08894caf45670"},"schema_version":"1.0"},"canonical_sha256":"47a71c227d959605e60e83f35bea6e8f92a9a6133c2cafbd05f84e684aa04723","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:15:48.328907Z","signature_b64":"7+3ZrdWV3jhSttEAcpt0sBu9oqX1y5uW6fooED+T4mLZC4jfG93F6RfAmZRdtlFqh/BIYAcehiOvxNhSDNyMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47a71c227d959605e60e83f35bea6e8f92a9a6133c2cafbd05f84e684aa04723","last_reissued_at":"2026-07-05T00:15:48.328275Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:15:48.328275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.03356","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":"2026-07-05T00:15:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UIWmtYPGcc3QWMLIezr65DvAo7WQtqH+o9se4Wr9XDQhcRZB/KM5hwDudIdFAW5j2IXLxz5kCkCm6OJ3kYnwDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:18:19.041497Z"},"content_sha256":"dce2bf1aa32b3ed81bea66b3bed4c4223099ccb30e421d2822de0c50855290a0","schema_version":"1.0","event_id":"sha256:dce2bf1aa32b3ed81bea66b3bed4c4223099ccb30e421d2822de0c50855290a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:I6TRYIT5SWLALZQOQPZVX2TOR6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"eess.IV","authors_text":"Angela Jakary, Christopher P. Hess, Janine M. Lupo, Sivakami Avadiappan, Yicheng Chen","submitted_at":"2019-05-08T21:19:02Z","abstract_excerpt":"Quantitative susceptibility mapping (QSM) is a powerful MRI technique that has shown great potential in quantifying tissue susceptibility in numerous neurological disorders. However, the intrinsic ill-posed dipole inversion problem greatly affects the accuracy of the susceptibility map. We propose QSMGAN: a 3D deep convolutional neural network approach based on a 3D U-Net architecture with increased receptive field of the input phase compared to the output and further refined the network using the WGAN with gradient penalty training strategy. Our method generates accurate QSM maps from single "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.03356","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/1905.03356/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":"2026-07-05T00:15:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZC25+Glplbcw3POQ4sVUTm1HoljqRQnRXJFsDkPZUBOV0ZSlb+XFVEeDe+3+2INLRnjB75tyb1cKxM4N0jymAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T20:18:19.042037Z"},"content_sha256":"021e798ec4b23be67dbb35622157a5f8ea9580c3985d2ad9084b14969d406261","schema_version":"1.0","event_id":"sha256:021e798ec4b23be67dbb35622157a5f8ea9580c3985d2ad9084b14969d406261"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I6TRYIT5SWLALZQOQPZVX2TOR6/bundle.json","state_url":"https://pith.science/pith/I6TRYIT5SWLALZQOQPZVX2TOR6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I6TRYIT5SWLALZQOQPZVX2TOR6/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":"2026-08-22T20:18:19Z","links":{"resolver":"https://pith.science/pith/I6TRYIT5SWLALZQOQPZVX2TOR6","bundle":"https://pith.science/pith/I6TRYIT5SWLALZQOQPZVX2TOR6/bundle.json","state":"https://pith.science/pith/I6TRYIT5SWLALZQOQPZVX2TOR6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I6TRYIT5SWLALZQOQPZVX2TOR6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:I6TRYIT5SWLALZQOQPZVX2TOR6","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":"86728ac9ddd6e12c30085b6ef32d2aafd73585c4f424ef81d4a08894caf45670","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-08T21:19:02Z","title_canon_sha256":"76dd1a291a6a871c0ead84fb25a99ec6d3fd4b6a148fb5efeba485ccde5bac93"},"schema_version":"1.0","source":{"id":"1905.03356","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.03356","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"arxiv_version","alias_value":"1905.03356v2","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.03356","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"pith_short_12","alias_value":"I6TRYIT5SWLA","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"pith_short_16","alias_value":"I6TRYIT5SWLALZQO","created_at":"2026-07-05T00:15:48Z"},{"alias_kind":"pith_short_8","alias_value":"I6TRYIT5","created_at":"2026-07-05T00:15:48Z"}],"graph_snapshots":[{"event_id":"sha256:021e798ec4b23be67dbb35622157a5f8ea9580c3985d2ad9084b14969d406261","target":"graph","created_at":"2026-07-05T00:15:48Z","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/1905.03356/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantitative susceptibility mapping (QSM) is a powerful MRI technique that has shown great potential in quantifying tissue susceptibility in numerous neurological disorders. However, the intrinsic ill-posed dipole inversion problem greatly affects the accuracy of the susceptibility map. We propose QSMGAN: a 3D deep convolutional neural network approach based on a 3D U-Net architecture with increased receptive field of the input phase compared to the output and further refined the network using the WGAN with gradient penalty training strategy. Our method generates accurate QSM maps from single ","authors_text":"Angela Jakary, Christopher P. Hess, Janine M. Lupo, Sivakami Avadiappan, Yicheng Chen","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-08T21:19:02Z","title":"QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.03356","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:dce2bf1aa32b3ed81bea66b3bed4c4223099ccb30e421d2822de0c50855290a0","target":"record","created_at":"2026-07-05T00:15:48Z","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":"86728ac9ddd6e12c30085b6ef32d2aafd73585c4f424ef81d4a08894caf45670","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-05-08T21:19:02Z","title_canon_sha256":"76dd1a291a6a871c0ead84fb25a99ec6d3fd4b6a148fb5efeba485ccde5bac93"},"schema_version":"1.0","source":{"id":"1905.03356","kind":"arxiv","version":2}},"canonical_sha256":"47a71c227d959605e60e83f35bea6e8f92a9a6133c2cafbd05f84e684aa04723","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47a71c227d959605e60e83f35bea6e8f92a9a6133c2cafbd05f84e684aa04723","first_computed_at":"2026-07-05T00:15:48.328275Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:15:48.328275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7+3ZrdWV3jhSttEAcpt0sBu9oqX1y5uW6fooED+T4mLZC4jfG93F6RfAmZRdtlFqh/BIYAcehiOvxNhSDNyMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:15:48.328907Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.03356","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dce2bf1aa32b3ed81bea66b3bed4c4223099ccb30e421d2822de0c50855290a0","sha256:021e798ec4b23be67dbb35622157a5f8ea9580c3985d2ad9084b14969d406261"],"state_sha256":"1924a18e113fec7b09b7344a0a970a2d5e2ddb7d72c2176ff560616bc1f0d67f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2+mLwz3saxZaruspsjqCHHjs6HL91a11SxFIOQHupOcUkpn+Sr+Pj4idX7bPE95GX+lBT9yqwvtMPqFs7fE/BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T20:18:19.047621Z","bundle_sha256":"30ddc2033797f76c768cca7dc48d6b91e745d8e659ee69c6e0e60413d7600f59"}}