{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5GFEYT3XNSCIFOZIHHXHG2NZ7O","short_pith_number":"pith:5GFEYT3X","canonical_record":{"source":{"id":"2309.13385","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-09-23T14:07:04Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"085574636352bf9ab0bab2602356a08eefcd81f8e0aaafc2b270ae2cd552f56e","abstract_canon_sha256":"d3cb94a1e6a73009614dc9f9a38c6c767ad1fd93409f9846d177a27815b68c1d"},"schema_version":"1.0"},"canonical_sha256":"e98a4c4f776c8482bb2839ee7369b9fbb8039a0f16eadcccf062bd20e082e7ec","source":{"kind":"arxiv","id":"2309.13385","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.13385","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"arxiv_version","alias_value":"2309.13385v1","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13385","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"pith_short_12","alias_value":"5GFEYT3XNSCI","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"pith_short_16","alias_value":"5GFEYT3XNSCIFOZI","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"pith_short_8","alias_value":"5GFEYT3X","created_at":"2026-07-05T07:43:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5GFEYT3XNSCIFOZIHHXHG2NZ7O","target":"record","payload":{"canonical_record":{"source":{"id":"2309.13385","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-09-23T14:07:04Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"085574636352bf9ab0bab2602356a08eefcd81f8e0aaafc2b270ae2cd552f56e","abstract_canon_sha256":"d3cb94a1e6a73009614dc9f9a38c6c767ad1fd93409f9846d177a27815b68c1d"},"schema_version":"1.0"},"canonical_sha256":"e98a4c4f776c8482bb2839ee7369b9fbb8039a0f16eadcccf062bd20e082e7ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:43:56.079211Z","signature_b64":"Z48yPgEKtqgSZTSO6J5sz0AQlHM5GIFBLAt01BhPvOfiyOpA4do2bpT2osjweFP+yYaheDzp163wuR9ktvB6Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e98a4c4f776c8482bb2839ee7369b9fbb8039a0f16eadcccf062bd20e082e7ec","last_reissued_at":"2026-07-05T07:43:56.078757Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:43:56.078757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.13385","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":"2026-07-05T07:43:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R+MXEempfIsYUPNFMbIoJWsiDIrwTD4nGbFvdXgk7rLN53uNXXpQssQNDCWYeMBy0HmFXhcsJsyO/oVkH+phCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:32:42.304059Z"},"content_sha256":"0317874c5b1dbd2777de64d1dbc30650e20480496f6692e3b79cd8c1daeb7632","schema_version":"1.0","event_id":"sha256:0317874c5b1dbd2777de64d1dbc30650e20480496f6692e3b79cd8c1daeb7632"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5GFEYT3XNSCIFOZIHHXHG2NZ7O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Connor Jordan, Eva Pachetti, Gianluca Carloni, Sotirios A. Tsaftaris, Yuning Du, Yuyang Xue","submitted_at":"2023-09-23T14:07:04Z","abstract_excerpt":"Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner. Undersampling of the $k$-space is employed to reduce the scan duration, thus increasing patient comfort and reducing the risk of motion artefacts, at the cost of reduced image quality. In this challenge paper, we investigate the use of a convolutional recurrent neural network (CRNN) architecture to exploit temporal correlations in supervised cine cardiac MRI reconstruction. This is combined with a single-image super-resolution refinement module to improve single coil r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13385","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2309.13385/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":"2026-07-05T07:43:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3hz0SMXKUhTF2sCT56zyX6nKcqMJJ1PNQdtuUbBQxSsjgKKnRNnctdrM4GIS9vVpjQ4nAFRnlu0wJOAJ7whABA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:32:42.304449Z"},"content_sha256":"7d2deeddf4fbb8156fc02e4ad17385c26cea40d257fb209a2fad8a18f9859395","schema_version":"1.0","event_id":"sha256:7d2deeddf4fbb8156fc02e4ad17385c26cea40d257fb209a2fad8a18f9859395"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5GFEYT3XNSCIFOZIHHXHG2NZ7O/bundle.json","state_url":"https://pith.science/pith/5GFEYT3XNSCIFOZIHHXHG2NZ7O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5GFEYT3XNSCIFOZIHHXHG2NZ7O/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":"2026-07-07T10:32:42Z","links":{"resolver":"https://pith.science/pith/5GFEYT3XNSCIFOZIHHXHG2NZ7O","bundle":"https://pith.science/pith/5GFEYT3XNSCIFOZIHHXHG2NZ7O/bundle.json","state":"https://pith.science/pith/5GFEYT3XNSCIFOZIHHXHG2NZ7O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5GFEYT3XNSCIFOZIHHXHG2NZ7O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5GFEYT3XNSCIFOZIHHXHG2NZ7O","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":"d3cb94a1e6a73009614dc9f9a38c6c767ad1fd93409f9846d177a27815b68c1d","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-09-23T14:07:04Z","title_canon_sha256":"085574636352bf9ab0bab2602356a08eefcd81f8e0aaafc2b270ae2cd552f56e"},"schema_version":"1.0","source":{"id":"2309.13385","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.13385","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"arxiv_version","alias_value":"2309.13385v1","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13385","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"pith_short_12","alias_value":"5GFEYT3XNSCI","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"pith_short_16","alias_value":"5GFEYT3XNSCIFOZI","created_at":"2026-07-05T07:43:56Z"},{"alias_kind":"pith_short_8","alias_value":"5GFEYT3X","created_at":"2026-07-05T07:43:56Z"}],"graph_snapshots":[{"event_id":"sha256:7d2deeddf4fbb8156fc02e4ad17385c26cea40d257fb209a2fad8a18f9859395","target":"graph","created_at":"2026-07-05T07:43:56Z","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/2309.13385/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner. Undersampling of the $k$-space is employed to reduce the scan duration, thus increasing patient comfort and reducing the risk of motion artefacts, at the cost of reduced image quality. In this challenge paper, we investigate the use of a convolutional recurrent neural network (CRNN) architecture to exploit temporal correlations in supervised cine cardiac MRI reconstruction. This is combined with a single-image super-resolution refinement module to improve single coil r","authors_text":"Connor Jordan, Eva Pachetti, Gianluca Carloni, Sotirios A. Tsaftaris, Yuning Du, Yuyang Xue","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-09-23T14:07:04Z","title":"Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13385","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":"sha256:0317874c5b1dbd2777de64d1dbc30650e20480496f6692e3b79cd8c1daeb7632","target":"record","created_at":"2026-07-05T07:43:56Z","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":"d3cb94a1e6a73009614dc9f9a38c6c767ad1fd93409f9846d177a27815b68c1d","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-09-23T14:07:04Z","title_canon_sha256":"085574636352bf9ab0bab2602356a08eefcd81f8e0aaafc2b270ae2cd552f56e"},"schema_version":"1.0","source":{"id":"2309.13385","kind":"arxiv","version":1}},"canonical_sha256":"e98a4c4f776c8482bb2839ee7369b9fbb8039a0f16eadcccf062bd20e082e7ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e98a4c4f776c8482bb2839ee7369b9fbb8039a0f16eadcccf062bd20e082e7ec","first_computed_at":"2026-07-05T07:43:56.078757Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:43:56.078757Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z48yPgEKtqgSZTSO6J5sz0AQlHM5GIFBLAt01BhPvOfiyOpA4do2bpT2osjweFP+yYaheDzp163wuR9ktvB6Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:43:56.079211Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.13385","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0317874c5b1dbd2777de64d1dbc30650e20480496f6692e3b79cd8c1daeb7632","sha256:7d2deeddf4fbb8156fc02e4ad17385c26cea40d257fb209a2fad8a18f9859395"],"state_sha256":"aaf5d72b55562a03cc66cc5330d3a60ef6116439ed57d57050106197f9cedcef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WIoG9K9eaDa4CsDrcDhMShqjB1x9AK6UF8awQScLIImJcZspFbS+59hIQFjRkimyZW6hzGyR1BIHDzRv4alnBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:32:42.306374Z","bundle_sha256":"f220dd3727aeab04bdeae5c2ca3f5c7f034458ee12c85d5efc04493dcafc206e"}}