{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7Y47EWP44BES6XDVWXOVOMSHL6","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":"4667c1fa7bcab1683077091bf1abd12e761c57195d3b2f736f318cac93fe83ef","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-11T21:34:48Z","title_canon_sha256":"55386e1558f8359a713e71dd824c75ec3afe2b57963b1b9d952d104109d910d9"},"schema_version":"1.0","source":{"id":"2001.03799","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.03799","created_at":"2026-07-05T00:53:52Z"},{"alias_kind":"arxiv_version","alias_value":"2001.03799v2","created_at":"2026-07-05T00:53:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.03799","created_at":"2026-07-05T00:53:52Z"},{"alias_kind":"pith_short_12","alias_value":"7Y47EWP44BES","created_at":"2026-07-05T00:53:52Z"},{"alias_kind":"pith_short_16","alias_value":"7Y47EWP44BES6XDV","created_at":"2026-07-05T00:53:52Z"},{"alias_kind":"pith_short_8","alias_value":"7Y47EWP4","created_at":"2026-07-05T00:53:52Z"}],"graph_snapshots":[{"event_id":"sha256:f17c11c25e1413d3f6b20e21297bb77bfa92d93c3386c55a2a054ae9d41db9a7","target":"graph","created_at":"2026-07-05T00:53:52Z","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/2001.03799/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"MRI with multiple protocols is commonly used for diagnosis, but it suffers from a long acquisition time, which yields the image quality vulnerable to say motion artifacts. To accelerate, various methods have been proposed to reconstruct full images from under-sampled k-space data. However, these algorithms are inadequate for two main reasons. Firstly, aliasing artifacts generated in the image domain are structural and non-local, so that sole image domain restoration is insufficient. Secondly, though MRI comprises multiple protocols during one exam, almost all previous studies only employ the r","authors_text":"Bo Zhou, S. Kevin Zhou","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-11T21:34:48Z","title":"DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.03799","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:f7294e9f3ef76a94a724916644ff6e2ddb8b09b904ffc68cb111c574ccc89fe1","target":"record","created_at":"2026-07-05T00:53:52Z","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":"4667c1fa7bcab1683077091bf1abd12e761c57195d3b2f736f318cac93fe83ef","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2020-01-11T21:34:48Z","title_canon_sha256":"55386e1558f8359a713e71dd824c75ec3afe2b57963b1b9d952d104109d910d9"},"schema_version":"1.0","source":{"id":"2001.03799","kind":"arxiv","version":2}},"canonical_sha256":"fe39f259fce0492f5c75b5dd5732475fb7429fa452ab22afdf5aa8aff6a9e5c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe39f259fce0492f5c75b5dd5732475fb7429fa452ab22afdf5aa8aff6a9e5c3","first_computed_at":"2026-07-05T00:53:52.689173Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:53:52.689173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1zgmsBOlwOCU2YcjBE2ZONscDK8+MktPjE5Op1bdjwYCIZmiKm5aQXDxjJbYNBxjkJtlyQ/ncVGx0VQ2hO6iAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:53:52.689641Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.03799","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7294e9f3ef76a94a724916644ff6e2ddb8b09b904ffc68cb111c574ccc89fe1","sha256:f17c11c25e1413d3f6b20e21297bb77bfa92d93c3386c55a2a054ae9d41db9a7"],"state_sha256":"85a4c0ace1f09b266cb5270c9858b976b6a1029fd639261cc9ae25edda0c2530"}