{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QGPIWVR6UMSQ45DBEHAM6P25L6","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":"6fea6fb10ec5c30875684db991cbf8c0ea25b2d5cac6c5b89543c51f17cc66a8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-10T15:25:18Z","title_canon_sha256":"45c0488746e4bfa52266691f8f9d4426a8464833e39b49adc246ffbedaec3cce"},"schema_version":"1.0","source":{"id":"2412.07590","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07590","created_at":"2026-07-05T09:47:38Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07590v2","created_at":"2026-07-05T09:47:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07590","created_at":"2026-07-05T09:47:38Z"},{"alias_kind":"pith_short_12","alias_value":"QGPIWVR6UMSQ","created_at":"2026-07-05T09:47:38Z"},{"alias_kind":"pith_short_16","alias_value":"QGPIWVR6UMSQ45DB","created_at":"2026-07-05T09:47:38Z"},{"alias_kind":"pith_short_8","alias_value":"QGPIWVR6","created_at":"2026-07-05T09:47:38Z"}],"graph_snapshots":[{"event_id":"sha256:f744ec77b226122998c64477ec3ee410477870355a37a071a2204aba69c25908","target":"graph","created_at":"2026-07-05T09:47:38Z","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/2412.07590/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Motion artifacts present in magnetic resonance imaging (MRI) can seriously interfere with clinical diagnosis. Removing motion artifacts is a straightforward solution and has been extensively studied. However, paired data are still heavily relied on in recent works and the perturbations in k-space (frequency domain) are not well considered, which limits their applications in the clinical field. To address these issues, we propose a novel unsupervised purification method which leverages pixel-frequency information of noisy MRI images to guide a pre-trained diffusion model to recover clean MRI im","authors_text":"Dawei Zhou, Feng Yang, Jiahua Xu, Jianfeng Guo, Lei Hu, Nannan Wang, Xinbo Gao, Zaiyi Liu","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-10T15:25:18Z","title":"Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07590","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":"sha256:37d0454c1b08184a3304abd50789c445fd99fcf96eba382eb0406b520f573964","target":"record","created_at":"2026-07-05T09:47:38Z","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":"6fea6fb10ec5c30875684db991cbf8c0ea25b2d5cac6c5b89543c51f17cc66a8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-10T15:25:18Z","title_canon_sha256":"45c0488746e4bfa52266691f8f9d4426a8464833e39b49adc246ffbedaec3cce"},"schema_version":"1.0","source":{"id":"2412.07590","kind":"arxiv","version":2}},"canonical_sha256":"819e8b563ea3250e746121c0cf3f5d5f8a921ae1dfe1c0246fa9547a9f3aae64","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"819e8b563ea3250e746121c0cf3f5d5f8a921ae1dfe1c0246fa9547a9f3aae64","first_computed_at":"2026-07-05T09:47:38.637361Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:38.637361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ni7Pv/rJLx7awX8Z6lUJssko+nDP/78lbsDgG+QLNAgruknoSltgITZrOvTzwfUtephRaGn8HCZc2jeWXvDPBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:38.637796Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07590","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37d0454c1b08184a3304abd50789c445fd99fcf96eba382eb0406b520f573964","sha256:f744ec77b226122998c64477ec3ee410477870355a37a071a2204aba69c25908"],"state_sha256":"80196942dd3bc64ec245f81a4ca98049cd3bb42f8cb67790d4b60d7e7bd4e1a8"}