{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:GPYZ6ZLET43DW2FZWETYHKBMKB","short_pith_number":"pith:GPYZ6ZLE","schema_version":"1.0","canonical_sha256":"33f19f65649f363b68b9b12783a82c5045b047bbb5a20934fc527c9180cb20a3","source":{"kind":"arxiv","id":"2505.04105","version":3},"attestation_state":"computed","paper":{"title":"MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Andrew Zhang, Hao Wang, Jinman Kim, Michael Fulham, Shuchang Ye","submitted_at":"2025-05-07T03:44:28Z","abstract_excerpt":"Patient motion during medical image acquisition causes blurring, ghosting, and distorts organs, which makes image interpretation challenging. Current state-of-the-art algorithms using Generative Adversarial Network (GAN)-based methods with their ability to learn the mappings between corrupted images and their ground truth via Structural Similarity Index Measure (SSIM) loss effectively generate motion-free images. However, we identified the following limitations: (i) they mainly focus on global structural characteristics and therefore overlook localized features that often carry critical pathol"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2505.04105","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-05-07T03:44:28Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"845ce2646dafb830a53904b403832b2899323e51041de80b63e352113a44b8a1","abstract_canon_sha256":"a25d3d0a618253e795a9e9515904d9a035394700532bfc0e0e0a6220c7d01e32"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:00:44.841523Z","signature_b64":"HboeLsS1HvwNGxySbODJY0h6bT6VMhYS+gAjM53b5PECGFg7VHw6NsqTekXthKBrDDeirbdrKneMdu8hOPF5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33f19f65649f363b68b9b12783a82c5045b047bbb5a20934fc527c9180cb20a3","last_reissued_at":"2026-07-05T11:00:44.841015Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:00:44.841015Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Andrew Zhang, Hao Wang, Jinman Kim, Michael Fulham, Shuchang Ye","submitted_at":"2025-05-07T03:44:28Z","abstract_excerpt":"Patient motion during medical image acquisition causes blurring, ghosting, and distorts organs, which makes image interpretation challenging. Current state-of-the-art algorithms using Generative Adversarial Network (GAN)-based methods with their ability to learn the mappings between corrupted images and their ground truth via Structural Similarity Index Measure (SSIM) loss effectively generate motion-free images. However, we identified the following limitations: (i) they mainly focus on global structural characteristics and therefore overlook localized features that often carry critical pathol"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04105","kind":"arxiv","version":3},"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/2505.04105/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2505.04105","created_at":"2026-07-05T11:00:44.841071+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.04105v3","created_at":"2026-07-05T11:00:44.841071+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04105","created_at":"2026-07-05T11:00:44.841071+00:00"},{"alias_kind":"pith_short_12","alias_value":"GPYZ6ZLET43D","created_at":"2026-07-05T11:00:44.841071+00:00"},{"alias_kind":"pith_short_16","alias_value":"GPYZ6ZLET43DW2FZ","created_at":"2026-07-05T11:00:44.841071+00:00"},{"alias_kind":"pith_short_8","alias_value":"GPYZ6ZLE","created_at":"2026-07-05T11:00:44.841071+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB","json":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB.json","graph_json":"https://pith.science/api/pith-number/GPYZ6ZLET43DW2FZWETYHKBMKB/graph.json","events_json":"https://pith.science/api/pith-number/GPYZ6ZLET43DW2FZWETYHKBMKB/events.json","paper":"https://pith.science/paper/GPYZ6ZLE"},"agent_actions":{"view_html":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB","download_json":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB.json","view_paper":"https://pith.science/paper/GPYZ6ZLE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.04105&json=true","fetch_graph":"https://pith.science/api/pith-number/GPYZ6ZLET43DW2FZWETYHKBMKB/graph.json","fetch_events":"https://pith.science/api/pith-number/GPYZ6ZLET43DW2FZWETYHKBMKB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB/action/storage_attestation","attest_author":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB/action/author_attestation","sign_citation":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB/action/citation_signature","submit_replication":"https://pith.science/pith/GPYZ6ZLET43DW2FZWETYHKBMKB/action/replication_record"}},"created_at":"2026-07-05T11:00:44.841071+00:00","updated_at":"2026-07-05T11:00:44.841071+00:00"}