{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JZTLBC5TYXG3DUUOWS2BZQQA7Q","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":"9c03c0941b69e6a886948b997f434ccd2e676bdcaafb306449c9dc15a8cf068d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-02-03T14:56:10Z","title_canon_sha256":"5b3f7f941e79758c22a86f6db69876a7f4cbd79bf139067cdd2fce811a04ab2c"},"schema_version":"1.0","source":{"id":"2302.01788","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.01788","created_at":"2026-07-05T05:38:36Z"},{"alias_kind":"arxiv_version","alias_value":"2302.01788v1","created_at":"2026-07-05T05:38:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.01788","created_at":"2026-07-05T05:38:36Z"},{"alias_kind":"pith_short_12","alias_value":"JZTLBC5TYXG3","created_at":"2026-07-05T05:38:36Z"},{"alias_kind":"pith_short_16","alias_value":"JZTLBC5TYXG3DUUO","created_at":"2026-07-05T05:38:36Z"},{"alias_kind":"pith_short_8","alias_value":"JZTLBC5T","created_at":"2026-07-05T05:38:36Z"}],"graph_snapshots":[{"event_id":"sha256:5796251db8e1f42e77257616f17160f727ca6d8507be951a4e2fd478de3c6022","target":"graph","created_at":"2026-07-05T05:38:36Z","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/2302.01788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Magnetic resonance imaging (MRI) is highly sensitive for lesion detection in the breasts. Sequences obtained with different settings can capture the specific characteristics of lesions. Such multi-parameter MRI information has been shown to improve radiologist performance in lesion classification, as well as improving the performance of artificial intelligence models in various tasks. However, obtaining multi-parameter MRI makes the examination costly in both financial and time perspectives, and there may be safety concerns for special populations, thus making acquisition of the full spectrum ","authors_text":"Jonas Teuwen, Luyi Han, Regina Beets-Tan, Ritse Mann, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-02-03T14:56:10Z","title":"IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.01788","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":"sha256:3755cd7eb6eff954eba0280ecac02e1d16f5a4d72a21ec3e00ec42de0b4e04f6","target":"record","created_at":"2026-07-05T05:38:36Z","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":"9c03c0941b69e6a886948b997f434ccd2e676bdcaafb306449c9dc15a8cf068d","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-02-03T14:56:10Z","title_canon_sha256":"5b3f7f941e79758c22a86f6db69876a7f4cbd79bf139067cdd2fce811a04ab2c"},"schema_version":"1.0","source":{"id":"2302.01788","kind":"arxiv","version":1}},"canonical_sha256":"4e66b08bb3c5cdb1d28eb4b41cc200fc347042fd2b6d3f523b3e8cf7e164af1c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e66b08bb3c5cdb1d28eb4b41cc200fc347042fd2b6d3f523b3e8cf7e164af1c","first_computed_at":"2026-07-05T05:38:36.749949Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:38:36.749949Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wvcXUiJEdD8/vteuevjy7OwQvGqCdtvwuBxIMT28AHVdOXGW5DekKKhJZ6DeNNpiG1EBS6e6WQs/OXDV8NqcDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:38:36.750322Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.01788","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3755cd7eb6eff954eba0280ecac02e1d16f5a4d72a21ec3e00ec42de0b4e04f6","sha256:5796251db8e1f42e77257616f17160f727ca6d8507be951a4e2fd478de3c6022"],"state_sha256":"8c120d4725a0f6ddff3dc67109a099ac913e409c0b2e8b9ac94a496e18aaa3f1"}