{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:B2ZA3SAZYXLLAOGWDDXDEX7WJQ","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":"cf9aa93d159f7b4dae0b22f69fcf0b428533a921cadc8858da16df3e6ec4a0f7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-04-10T21:21:14Z","title_canon_sha256":"f7b6a49aea059c54bb686909f3986fd88af588888369299b32b6c6b8838b134a"},"schema_version":"1.0","source":{"id":"2204.04771","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.04771","created_at":"2026-07-05T04:13:01Z"},{"alias_kind":"arxiv_version","alias_value":"2204.04771v1","created_at":"2026-07-05T04:13:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.04771","created_at":"2026-07-05T04:13:01Z"},{"alias_kind":"pith_short_12","alias_value":"B2ZA3SAZYXLL","created_at":"2026-07-05T04:13:01Z"},{"alias_kind":"pith_short_16","alias_value":"B2ZA3SAZYXLLAOGW","created_at":"2026-07-05T04:13:01Z"},{"alias_kind":"pith_short_8","alias_value":"B2ZA3SAZ","created_at":"2026-07-05T04:13:01Z"}],"graph_snapshots":[{"event_id":"sha256:4eb408d4851d382e74694322ccff15a3e32010c1bc9e539a535434f4fd46ba60","target":"graph","created_at":"2026-07-05T04:13:01Z","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/2204.04771/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new plug-and-play priors (PnP) based MR image reconstruction method that systematically enforces data consistency while also exploiting deep-learning priors. Our prior is specified through a convolutional neural network (CNN) trained without any artifact-free ground truth to remove undersampling artifacts from MR images. The results on reconstructing free-breathing MRI data into ten respiratory phases show that the method can form high-quality 4D images from severely undersampled measurements corresponding to acquisitions of about 1 and 2 minutes in length. The results also highli","authors_text":"Cihat Eldeniz, Hongyu An, Jiaming Liu, Sihao Chen, Ulugbek S. Kamilov, Weijie Gan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-04-10T21:21:14Z","title":"Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.04771","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":"sha256:6f81111844417f2be0bc238b5da99500fc2cc27727097a40c26465be4b13cbe3","target":"record","created_at":"2026-07-05T04:13:01Z","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":"cf9aa93d159f7b4dae0b22f69fcf0b428533a921cadc8858da16df3e6ec4a0f7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2022-04-10T21:21:14Z","title_canon_sha256":"f7b6a49aea059c54bb686909f3986fd88af588888369299b32b6c6b8838b134a"},"schema_version":"1.0","source":{"id":"2204.04771","kind":"arxiv","version":1}},"canonical_sha256":"0eb20dc819c5d6b038d618ee325ff64c207bfb2289fae9f108f379fa4536a3bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0eb20dc819c5d6b038d618ee325ff64c207bfb2289fae9f108f379fa4536a3bd","first_computed_at":"2026-07-05T04:13:01.483015Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:13:01.483015Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B3aZGUHz5xczdP8amcTVsr17g4esLt+tf/hckjFOpXXEEODk3KUkFEvWTSiH847SeeZEOrf6dJrXtkEbATuWDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:13:01.483428Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.04771","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f81111844417f2be0bc238b5da99500fc2cc27727097a40c26465be4b13cbe3","sha256:4eb408d4851d382e74694322ccff15a3e32010c1bc9e539a535434f4fd46ba60"],"state_sha256":"6fc9aa1ec919dea83c75e29d9e13ce2eec4f3fb6ae00a8ce3d8783bc25afec13"}