{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:WRYZMNFAR2LEOGQLSEX7YHFR3J","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":"16507284787b29916ccd8d4e81550db4225b4ea5d50cd0e96ad34154c028299f","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-06-14T17:14:17Z","title_canon_sha256":"f057b11beaf0a1bc6806db45644847b6e23f20572c7178a138f75aef891a2a87"},"schema_version":"1.0","source":{"id":"2106.07608","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.07608","created_at":"2026-07-05T02:49:06Z"},{"alias_kind":"arxiv_version","alias_value":"2106.07608v1","created_at":"2026-07-05T02:49:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07608","created_at":"2026-07-05T02:49:06Z"},{"alias_kind":"pith_short_12","alias_value":"WRYZMNFAR2LE","created_at":"2026-07-05T02:49:06Z"},{"alias_kind":"pith_short_16","alias_value":"WRYZMNFAR2LEOGQL","created_at":"2026-07-05T02:49:06Z"},{"alias_kind":"pith_short_8","alias_value":"WRYZMNFA","created_at":"2026-07-05T02:49:06Z"}],"graph_snapshots":[{"event_id":"sha256:62cc5fcfed16160e85ce0d4a1e195a2257a88943cbc5ca8cae5d2ab8147e663b","target":"graph","created_at":"2026-07-05T02:49:06Z","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/2106.07608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised learning-based medical image registration approaches have witnessed rapid development in recent years. We propose to revisit a commonly ignored while simple and well-established principle: recursive refinement of deformation vector fields across scales. We introduce a recursive refinement network (RRN) for unsupervised medical image registration, to extract multi-scale features, construct normalized local cost correlation volume and recursively refine volumetric deformation vector fields. RRN achieves state of the art performance for 3D registration of expiratory-inspiratory pairs","authors_text":"Amin Motahari, Andrew Laine, David Kaczka, Elsa Angelini, Eric Hoffman, Hanwen Bi, Jia Guo, Joseph Reinhardt, R. Graham Barr, Sarah Gerard, Xinzi He, Xuzhe Zhang","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-06-14T17:14:17Z","title":"Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07608","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:bde9d860f0eea5c0a3d38aa603979894888f98176ab926e910a4642ef3d60186","target":"record","created_at":"2026-07-05T02:49:06Z","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":"16507284787b29916ccd8d4e81550db4225b4ea5d50cd0e96ad34154c028299f","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-06-14T17:14:17Z","title_canon_sha256":"f057b11beaf0a1bc6806db45644847b6e23f20572c7178a138f75aef891a2a87"},"schema_version":"1.0","source":{"id":"2106.07608","kind":"arxiv","version":1}},"canonical_sha256":"b4719634a08e96471a0b912ffc1cb1da592ebde25e6aced053139f536c15adce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4719634a08e96471a0b912ffc1cb1da592ebde25e6aced053139f536c15adce","first_computed_at":"2026-07-05T02:49:06.733690Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:49:06.733690Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EUeNDAgz2mu/I/AtS/8uEoN9IMr7R/xW2BDUCVlZ7iEpgvbbLq+7QdtqStgw+v3XJ2KA0xtD9Upon8LTkxumDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:49:06.734130Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.07608","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bde9d860f0eea5c0a3d38aa603979894888f98176ab926e910a4642ef3d60186","sha256:62cc5fcfed16160e85ce0d4a1e195a2257a88943cbc5ca8cae5d2ab8147e663b"],"state_sha256":"3c581fbffb1ac1f8aacf82c8c236169151f3f09abbff0a15b050f4432e589743"}