{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FSEWCMOOX377WB6ARKS5SABPXM","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":"d0c05885dbd85ea82610ade9bffd2ca4056b85c2c04918ab67ac0627061d0741","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-22T13:19:33Z","title_canon_sha256":"7f738b69810484c163e5626d3a71246615276d37fb510aeb371662992723754e"},"schema_version":"1.0","source":{"id":"2304.11400","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.11400","created_at":"2026-07-05T06:22:03Z"},{"alias_kind":"arxiv_version","alias_value":"2304.11400v1","created_at":"2026-07-05T06:22:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.11400","created_at":"2026-07-05T06:22:03Z"},{"alias_kind":"pith_short_12","alias_value":"FSEWCMOOX377","created_at":"2026-07-05T06:22:03Z"},{"alias_kind":"pith_short_16","alias_value":"FSEWCMOOX377WB6A","created_at":"2026-07-05T06:22:03Z"},{"alias_kind":"pith_short_8","alias_value":"FSEWCMOO","created_at":"2026-07-05T06:22:03Z"}],"graph_snapshots":[{"event_id":"sha256:75f74bb99c5c0ccf426389a485a6dc2dcdfb013cf2d9abc14706a6250df3d01d","target":"graph","created_at":"2026-07-05T06:22:03Z","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/2304.11400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fast and accurate MRI reconstruction is a key concern in modern clinical practice. Recently, numerous Deep-Learning methods have been proposed for MRI reconstruction, however, they usually fail to reconstruct sharp details from the subsampled k-space data. To solve this problem, we propose a lightweight and accurate Edge Attention MRI Reconstruction Network (EAMRI) to reconstruct images with edge guidance. Specifically, we design an efficient Edge Prediction Network to directly predict accurate edges from the blurred image. Meanwhile, we propose a novel Edge Attention Module (EAM) to guide the","authors_text":"Hanhui Yang, Juncheng Li, Jun Shi, Lok Ming Lui, Shihui Ying, Tieyong Zeng","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-22T13:19:33Z","title":"Fast MRI Reconstruction via Edge Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.11400","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:faa19ccc3c0c05ccf35219395eec4ac040c9008116f105a16538994e8684f70b","target":"record","created_at":"2026-07-05T06:22:03Z","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":"d0c05885dbd85ea82610ade9bffd2ca4056b85c2c04918ab67ac0627061d0741","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-22T13:19:33Z","title_canon_sha256":"7f738b69810484c163e5626d3a71246615276d37fb510aeb371662992723754e"},"schema_version":"1.0","source":{"id":"2304.11400","kind":"arxiv","version":1}},"canonical_sha256":"2c896131cebefffb07c08aa5d9002fbb3744b641476975d0a11d54fc97ad6a66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c896131cebefffb07c08aa5d9002fbb3744b641476975d0a11d54fc97ad6a66","first_computed_at":"2026-07-05T06:22:03.514733Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:22:03.514733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sQyfhwRRuSZdcz4GM2yM0550dCZKCq0tksVUQz28IVmlNNJQ1W+LyUrqdqJvKUXVBk7pfbJYZpLFa1RiA5FKBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:22:03.515219Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.11400","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:faa19ccc3c0c05ccf35219395eec4ac040c9008116f105a16538994e8684f70b","sha256:75f74bb99c5c0ccf426389a485a6dc2dcdfb013cf2d9abc14706a6250df3d01d"],"state_sha256":"ca7622f137df8839b66e920bf0a2d0df2e6aa93db9a9db616a3db7755fbc0770"}