{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ZTAJEGNUQCVAFSJIYC6RRJNHOJ","short_pith_number":"pith:ZTAJEGNU","schema_version":"1.0","canonical_sha256":"ccc09219b480aa02c928c0bd18a5a772549a45d4048032b5aa640c7c2e8a3ee9","source":{"kind":"arxiv","id":"2412.10629","version":1},"attestation_state":"computed","paper":{"title":"Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Di Xu, Hengjie Liu, Hui Lin, Jessica E. Scholey, Ke Sheng, Mary Feng, Michael Ohliger, Wensha Yang, Xin Miao, Yang Yang, Yi Lao","submitted_at":"2024-12-14T00:43:11Z","abstract_excerpt":"Abstract Purpose: High-quality 4D MRI requires an impractically long scanning time for dense k-space signal acquisition covering all respiratory phases. Accelerated sparse sampling followed by reconstruction enhancement is desired but often results in degraded image quality and long reconstruction time. We hereby propose the chained iterative reconstruction network (CIRNet) for efficient sparse-sampling reconstruction while maintaining clinically deployable quality. Methods: CIRNet adopts the denoising diffusion probabilistic framework to condition the image reconstruction through a stochastic"},"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":"2412.10629","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-14T00:43:11Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f7d1636dc427f4a2eb2c4d363df021744b0b4a4cc7f24d8080de8483b51659fc","abstract_canon_sha256":"6b3a587271e00c5e840f26c0b2a91efafc3c37b2b30dc5cedcbc23133e24e498"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:49:18.639534Z","signature_b64":"5MgtofoVmgeMclONajRtt89IJBeb2aRvVCRT9PGRva8c0HkTFPOiRBBmgfllU9O2ejpgh4c4HhBBffwUkWGjAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ccc09219b480aa02c928c0bd18a5a772549a45d4048032b5aa640c7c2e8a3ee9","last_reissued_at":"2026-07-05T09:49:18.639084Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:49:18.639084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Di Xu, Hengjie Liu, Hui Lin, Jessica E. Scholey, Ke Sheng, Mary Feng, Michael Ohliger, Wensha Yang, Xin Miao, Yang Yang, Yi Lao","submitted_at":"2024-12-14T00:43:11Z","abstract_excerpt":"Abstract Purpose: High-quality 4D MRI requires an impractically long scanning time for dense k-space signal acquisition covering all respiratory phases. Accelerated sparse sampling followed by reconstruction enhancement is desired but often results in degraded image quality and long reconstruction time. We hereby propose the chained iterative reconstruction network (CIRNet) for efficient sparse-sampling reconstruction while maintaining clinically deployable quality. Methods: CIRNet adopts the denoising diffusion probabilistic framework to condition the image reconstruction through a stochastic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10629","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/2412.10629/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":"2412.10629","created_at":"2026-07-05T09:49:18.639137+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.10629v1","created_at":"2026-07-05T09:49:18.639137+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10629","created_at":"2026-07-05T09:49:18.639137+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZTAJEGNUQCVA","created_at":"2026-07-05T09:49:18.639137+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZTAJEGNUQCVAFSJI","created_at":"2026-07-05T09:49:18.639137+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZTAJEGNU","created_at":"2026-07-05T09:49:18.639137+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/ZTAJEGNUQCVAFSJIYC6RRJNHOJ","json":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ.json","graph_json":"https://pith.science/api/pith-number/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/graph.json","events_json":"https://pith.science/api/pith-number/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/events.json","paper":"https://pith.science/paper/ZTAJEGNU"},"agent_actions":{"view_html":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ","download_json":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ.json","view_paper":"https://pith.science/paper/ZTAJEGNU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.10629&json=true","fetch_graph":"https://pith.science/api/pith-number/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/graph.json","fetch_events":"https://pith.science/api/pith-number/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/action/storage_attestation","attest_author":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/action/author_attestation","sign_citation":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/action/citation_signature","submit_replication":"https://pith.science/pith/ZTAJEGNUQCVAFSJIYC6RRJNHOJ/action/replication_record"}},"created_at":"2026-07-05T09:49:18.639137+00:00","updated_at":"2026-07-05T09:49:18.639137+00:00"}